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Impact of Hyperglycemia on Complication and Mortality after Transarterial Chemoembolization for Hepatocellular Carcinoma
Sun Joon Moon, Chang Ho Ahn, Yun Bin Lee, Young Min Cho
Diabetes Metab J. 2024;48(2):302-311.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0255
  • 1,837 View
  • 202 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Current guidelines regarding periprocedural glycemic control to prevent complications after nonsurgical invasive procedures are insufficient. Transarterial chemoembolization (TACE) is a widely used treatment for unresectable hepatocellular carcinoma. We aimed to investigate the association between diabetes mellitus (DM) per se and the degree of hyperglycemia with postprocedural complications after TACE.
Methods
A total of 22,159 TACE procedures performed at Seoul National University Hospital from 2005 to 2018 were retrospectively analyzed. The associations between DM, preprocedural glycosylated hemoglobin (HbA1c), and periprocedural average glucose with postprocedural adverse outcomes were evaluated. The primary outcome was occurrence of postprocedural bacteremia. Secondary outcomes were acute kidney injury (AKI), delayed discharge and death within 14 days. Periprocedural glucose was averaged over 3 days: the day of, before, and after the TACE procedures. Propensity score matching was applied for procedures between patients with or without DM.
Results
Periprocedural average glucose was significantly associated with bacteremia (adjusted odds ratio per 50 mg/dL of glucose, 1.233; 95% confidence interval, 1.071 to 1.420; P=0.004), AKI, delayed discharge, and death within 14 days. DM per se was only associated with bacteremia and AKI. Preprocedural HbA1c was associated with delayed discharge. Average glucose levels above 202 and 181 mg/dL were associated with a significantly higher risk of bacteremia and AKI, respectively, than glucose levels of 126 mg/dL or lower.
Conclusion
Periprocedural average glucose, but not HbA1c, was associated with adverse outcomes after TACE, which is a nonsurgical invasive procedure. This suggests the importance of periprocedural glycemic control to reduce postprocedural complications.

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  • Serum CYFRA 21-1 and CK19-2G2 as Predictive Biomarkers of Response to Transarterial Chemoembolization in Hepatitis C–related Hepatocellular Carcinoma Among Egyptians: A Prospective Study
    Mohamed Y. Taher, Ehab Hassouna, Abeer El Hadidi, Omar El-aassar, Mohamed Fathy Bakosh, Mohamed Said Shater
    Journal of Clinical and Experimental Hepatology.2025; 15(1): 102405.     CrossRef
Basic Research
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Hyperglycemia-Suppressed SMARCA5 Disrupts Transcriptional Homeostasis to Facilitate Endothelial Dysfunction in Diabetes
Ju Wang, Hui Zhou, Jinhua Shao, Shu Zhang, Jing Jin
Diabetes Metab J. 2023;47(3):366-381.   Published online March 6, 2023
DOI: https://doi.org/10.4093/dmj.2022.0179
  • 2,662 View
  • 118 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Dysfunction of vascular endothelial cells (ECs) plays a central role in the pathogenesis of cardiovascular complications in diabetes. SWI/SNF-related matrix-associated actin-dependent regulator of chromatin subfamily A member 5 (SMARCA5) is a key regulator of chromatin structure and DNA repair, but its role in ECs remains surprisingly unexplored. The current study was designed to elucidate the regulated expression and function of SMARCA5 in diabetic ECs.
Methods
SMARCA5 expression was evaluated in ECs from diabetic mouse and human circulating CD34+ cells using quantitative reverse transcription polymerase chain reaction and Western blot. Effects of SMARCA5 manipulation on ECs function were evaluated using cell migration, in vitro tube formation and in vivo wound healing assays. Interaction among oxidative stress, SMARCA5 and transcriptional reprogramming was elucidated using luciferase reporter assay, electrophoretic mobility shift assay and chromatin immunoprecipitation.
Results
Endothelial SMARCA5 expression was significantly decreased in diabetic rodents and humans. Hyperglycemia-suppressed SMARCA5 impaired EC migration and tube formation in vitro, and blunted vasculogenesis in vivo. Contrarily, overexpression of SMARCA5 in situ by a SMARCA5 adenovirus-incorporated hydrogel effectively promoted the rate of wound healing in a dorsal skin punch injury model of diabetic mice. Mechanistically, hyperglycemia-elicited oxidative stress suppressed SMARCA5 transactivation in a signal transducer and activator of transcription 3 (STAT3)-dependent manner. Moreover, SMARCA5 maintained transcriptional homeostasis of several pro-angiogenic factors through both direct and indirect chromatin-remodeling mechanisms. In contrast, depletion of SMARCA5 disrupted transcriptional homeostasis to render ECs unresponsive to established angiogenic factors, which ultimately resulted in endothelial dysfunction in diabetes.
Conclusion
Suppression of endothelial SMARCA5 contributes to, at least in part, multiple aspects of endothelial dysfunction, which may thereby exacerbate cardiovascular complications in diabetes.

Citations

Citations to this article as recorded by  
  • From waste to wonder: exploring the hypoglycemic and anti-oxidant properties of corn processing by−products
    Xiaoqian Yang, Yuelong Wang, Jingfeng Li, Yuxing Tai, Kunping Yang, Jingwei Lv, Jiaming Sun, Hui Zhang
    Frontiers in Chemistry.2024;[Epub]     CrossRef
  • E3 ubiquitin ligase RNF180 mediates the ALKBH5/SMARCA5 axis to promote colon inflammation and Th17/Treg imbalance in ulcerative colitis mice
    Kailing Wang, Fan Liu, Budumu Muchu, Jiawen Deng, Jing Peng, Yan Xu, Fujun Li, Miao Ouyang
    Archives of Pharmacal Research.2024; 47(7): 645.     CrossRef
  • USP3 promotes DNA damage response and chemotherapy resistance through stabilizing and deubiquitinating SMARCA5 in prostate cancer
    Sheng Li, Situ Xiong, Zhongqi Li, Lin Yang, Hailang Yang, Jing Xiong, Wang Pan, Ju Guo, Songhui Xu, Bin Fu
    Cell Death & Disease.2024;[Epub]     CrossRef
  • Overexpression of Chromatin Remodeling Factor SRG3 Down-Regulates IL1β-Expressing M1 Macrophages and IL17-Producing T Cells in Adipose Tissues
    Jungmin Jeon, Sung Won Lee, Hyun Jung Park, Yun Hoo Park, Tae-Cheol Kim, Sujin Lee, Seyeong Lee, Luc Van Kaer, Seokmann Hong
    International Journal of Molecular Sciences.2024; 25(21): 11681.     CrossRef
Genetics
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Genome-Wide Association Study on Longitudinal Change in Fasting Plasma Glucose in Korean Population
Heejin Jin, Soo Heon Kwak, Ji Won Yoon, Sanghun Lee, Kyong Soo Park, Sungho Won, Nam H. Cho
Diabetes Metab J. 2023;47(2):255-266.   Published online January 19, 2023
DOI: https://doi.org/10.4093/dmj.2021.0375
  • 3,889 View
  • 204 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Genome-wide association studies (GWAS) on type 2 diabetes mellitus (T2DM) have identified more than 400 distinct genetic loci associated with diabetes and nearly 120 loci for fasting plasma glucose (FPG) and fasting insulin level to date. However, genetic risk factors for the longitudinal deterioration of FPG have not been thoroughly evaluated. We aimed to identify genetic variants associated with longitudinal change of FPG over time.
Methods
We used two prospective cohorts in Korean population, which included a total of 10,528 individuals without T2DM. GWAS of repeated measure of FPG using linear mixed model was performed to investigate the interaction of genetic variants and time, and meta-analysis was conducted. Genome-wide complex trait analysis was used for heritability calculation. In addition, expression quantitative trait loci (eQTL) analysis was performed using the Genotype-Tissue Expression project.
Results
A small portion (4%) of the genome-wide single nucleotide polymorphism (SNP) interaction with time explained the total phenotypic variance of longitudinal change in FPG. A total of four known genetic variants of FPG were associated with repeated measure of FPG levels. One SNP (rs11187850) showed a genome-wide significant association for genetic interaction with time. The variant is an eQTL for NOC3 like DNA replication regulator (NOC3L) gene in pancreas and adipose tissue. Furthermore, NOC3L is also differentially expressed in pancreatic β-cells between subjects with or without T2DM. However, this variant was not associated with increased risk of T2DM nor elevated FPG level.
Conclusion
We identified rs11187850, which is an eQTL of NOC3L, to be associated with longitudinal change of FPG in Korean population.

Citations

Citations to this article as recorded by  
  • Unraveling the understudied influence of a lead variant in the 9p21 locus on the atherogenic index among type 2 diabetes patients with coronary artery disease
    Mahsa Naserian, Ahad Alizadeh, Mani Nosrati, Abdolkarim Mahrooz
    Journal of Diabetes & Metabolic Disorders.2024;[Epub]     CrossRef
  • Abdominal aortic aneurysm and cardiometabolic traits share strong genetic susceptibility to lipid metabolism and inflammation
    Shufen Zheng, Philip S. Tsao, Cuiping Pan
    Nature Communications.2024;[Epub]     CrossRef
Brief Report
Complications
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Acute Hyperglycemic Crises with Coronavirus Disease-19: Case Reports
Na-young Kim, Eunyeong Ha, Jun Sung Moon, Yong-Hoon Lee, Eun Young Choi
Diabetes Metab J. 2020;44(2):349-353.   Published online April 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0091
  • 9,927 View
  • 203 Download
  • 69 Web of Science
  • 74 Crossref
AbstractAbstract PDFPubReader   

Since the first case was contracted by coronavirus disease-19 (COVID-19) in Daegu, Korea in February 2020, about 6,800 cases and 130 deaths have been reported on April 9, 2020. Recent studies have reported that patients with diabetes showed higher mortality and they had a worse prognosis than the group without diabetes. In poorly controlled patients with diabetes, acute hyperglycemic crises such as diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic state (HHS) also might be precipitated by COVID-19. Thus, intensive monitoring and aggressive supportive care should be needed to inadequately controlled patients with diabetes and COVID-19 infection. Here, we report two cases of severe COVID-19 patients with acute hyperglycemic crises in Korea.

Citations

Citations to this article as recorded by  
  • Potential Effects of Hyperglycemia on SARS-CoV-2 Entry Mechanisms in Pancreatic Beta Cells
    Tara M. Michaels, M. Faadiel Essop, Danzil E. Joseph
    Viruses.2024; 16(8): 1243.     CrossRef
  • Diagnosis of acute hyperglycemia based on data-driven prediction models
    Xinxin Dong, Wenping Dong, Xueshan Guo
    SLAS Technology.2024; 29(5): 100182.     CrossRef
  • COVID-19 and diabetes research: Where are we now and what does the future hold? A bibliometric visualization analysis
    Xunlan Zhang, Ru Wen, Hengzhi Chen, Jian Liu, Yu Wu, Min Xu, Rongpin Wang, Xianchun Zeng
    Heliyon.2024; 10(18): e37615.     CrossRef
  • Clinical Characteristics and Predictors of Mortality in Obese African-Americans with COVID-19: a Single-Center Retrospective Study
    Pavani Reddy Garlapati, Suneet Kumar, Meet Patel, Bidyut Sarker, Benjamin Tiongson, Sreedhar Adapa, Sohail Abdul Salim, Mark K. Adler, Vijay Reddy Gayam
    Journal of Racial and Ethnic Health Disparities.2023; 10(1): 160.     CrossRef
  • Diabetes and the COVID-19 pandemic
    Kamlesh Khunti, Jonathan Valabhji, Shivani Misra
    Diabetologia.2023; 66(2): 255.     CrossRef
  • Adult-Onset Type 1 Diabetes Development Following COVID-19 mRNA Vaccination
    Hyeyeon Moon, Sunghwan Suh, Mi Kyoung Park
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • COVID‐19 associated ketosis and diabetic ketoacidosis: A rapid review
    Tharun T. Alamuri, Sandhya Mahesh, Kevin Dell'Aquila, Taylor Jan Leong, Rebecca Jennings, Tim Q. Duong
    Diabetes, Obesity and Metabolism.2023; 25(7): 1785.     CrossRef
  • Risks associated with acute pancreatitis (AP) with diabetic ketoacidosis (DKA) in COVID-19 patients: a literature review
    Sundru Manjulata Devi, Annapurna Pamreddy, Venkata Ramana Narendra
    Journal of Diabetes & Metabolic Disorders.2023; 22(1): 135.     CrossRef
  • A Review of Hyperglycemia in COVID-19
    Maryam Zahedi, Saba Kordrostami, Mohammadreza Kalantarhormozi, Marziyeh Bagheri
    Cureus.2023;[Epub]     CrossRef
  • A UK nationwide study of adults admitted to hospital with diabetic ketoacidosis or hyperosmolar hyperglycaemic state and COVID‐19
    Benjamin C. T. Field, Yue Ruan, Kinga A. Várnai, Jim Davies, Robert E. J. Ryder, Rajiv Gandhi, Sophie Harris, Dinesh Nagi, Dipesh Patel, Punith Kempegowda, Sarah H. Wild, Emma G. Wilmot, Kamlesh Khunti, Rustam Rea, Parth Narendran
    Diabetes, Obesity and Metabolism.2023; 25(7): 2012.     CrossRef
  • Diabetic Ketoacidosis in COVID-19 Patients: Clinical Characteristics and Outcomes – A Retrospective Study in a Single Tertiary Care Hospital, Dubai, United Arab Emirates
    Hana AL Sughaiyer, Abeer AL Haj, Samia Murad Ibrahim Abdulrahman
    Dubai Diabetes and Endocrinology Journal.2023; 29(2): 107.     CrossRef
  • COVID-19 and diabetes
    Artur Furga
    Probacja.2023; 3: 235.     CrossRef
  • COVID-19 SALGININDA DİYABET YÖNETİMİ VE HEMŞİRENİN ROLÜ
    Dilek BÜYÜKKAYA BESEN, Merve DERVİŞOĞLU
    Gazi Sağlık Bilimleri Dergisi.2022; 7(2): 78.     CrossRef
  • Diabetic ketoacidosis and COVID-19: what have we learned so far?
    Caio Oliveira de Sá-Ferreira, Camila Helena Macedo da Costa, João Campos Wiltgen Guimarães, Nathasha Souza Sampaio, Leticia de Moraes Lopes Silva, Larissa Paula de Mascarenhas, Nicollas Garcia Rodrigues, Talita Labonia dos Santos, Solange Campos, Esther C
    American Journal of Physiology-Endocrinology and Metabolism.2022; 322(1): E44.     CrossRef
  • COVID-19 and hyperglycaemic emergencies: perspectives from a developing country
    Raisa Bhikoo, Marli Conradie-Smit, Gerhard Van Wyk, Sa’ad Lahri, Elizabeth Du Plessis, Jaco Cilliers, Susan Hugo, Ankia Coetzee
    Journal of Endocrinology, Metabolism and Diabetes of South Africa.2022; 27(1): 42.     CrossRef
  • Potential impact of combined influenza and pneumococcal vaccines on the severity of respiratory illness in COVID-19 infection among type 2 diabetic patients
    Amr Shaaban Hanafy, Waseem M. Seleem, Hany A. Elkattawy
    Clinical and Experimental Medicine.2022;[Epub]     CrossRef
  • The COVID-19-diabetes mellitus molecular tetrahedron
    Mehdi Mahmudpour, Katayoun Vahdat, Mohsen Keshavarz, Iraj Nabipour
    Molecular Biology Reports.2022; 49(5): 4013.     CrossRef
  • Diabetes and COVID-19; A Bidirectional Interplay
    Paraskevi Kazakou, Vaia Lambadiari, Ignatios Ikonomidis, Aikaterini Kountouri, Georgios Panagopoulos, Stavros Athanasopoulos, Eleni Korompoki, Ioannis Kalomenidis, Meletios A. Dimopoulos, Asimina Mitrakou
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The mechanism underlying extrapulmonary complications of the coronavirus disease 2019 and its therapeutic implication
    Qin Ning, Di Wu, Xiaojing Wang, Dong Xi, Tao Chen, Guang Chen, Hongwu Wang, Huiling Lu, Ming Wang, Lin Zhu, Junjian Hu, Tingting Liu, Ke Ma, Meifang Han, Xiaoping Luo
    Signal Transduction and Targeted Therapy.2022;[Epub]     CrossRef
  • Challenges in hyperglycemia management in critically ill patients with COVID-19
    Rajesh Kethireddy, Darshan Gandhi, Asim Kichloo, Love Patel
    World Journal of Critical Care Medicine.2022; 11(4): 219.     CrossRef
  • New-Onset and Persistent Insulin-Dependent Diabetes in Patients With COVID-19: A Peruvian Experience
    Anthony Ramos-Yataco, Emanuel A Salcedo Davila, Kelly Meza, Inga Harbuz-Miller
    Cureus.2022;[Epub]     CrossRef
  • Type 2 Diabetes Mellitus and COVID-19: A Narrative Review
    Cristina Rey-Reñones, Sara Martinez-Torres, Francisco M. Martín-Luján, Carles Pericas, Ana Redondo, Carles Vilaplana-Carnerero, Angela Dominguez, María Grau
    Biomedicines.2022; 10(9): 2089.     CrossRef
  • SARS-CoV-2 Infections, Impaired Tissue, and Metabolic Health: Pathophysiology and Potential Therapeutics
    Shailendra Pratap Singh, Aayushi Bhatnagar, Sujeet Kumar Singh, Sanjib K. Patra, Navjot Kanwar, Abhinav Kanwal, Salomon Amar, Ranata Manna
    Mini-Reviews in Medicinal Chemistry.2022; 22(16): 2102.     CrossRef
  • Collateral damage due to COVID-19
    Farhan Fazal, Nitin Gupta, Wasim Khot, Yogiraj Ray
    Tropical Doctor.2021; 51(1): 126.     CrossRef
  • Diabetic emergencies during the COVID‐19 pandemic: A case–control study
    M. S. B. Huda, S. Shaho, B. Trivedi, G. Fraterrigo, L. Chandrarajan, P. Zolfaghari, T. M. Dovey, C. G. Garrett, T. A Chowdhury
    Diabetic Medicine.2021;[Epub]     CrossRef
  • Euglycemic Diabetic Ketoacidosis With COVID-19 Infection in Patients With Type 2 Diabetes Taking SGLT2 Inhibitors
    Rebecca J. Vitale, Yannis K. Valtis, Marie E. McDonnell, Nadine E. Palermo, Naomi D.L. Fisher
    AACE Clinical Case Reports.2021; 7(1): 10.     CrossRef
  • Outcomes and Healthcare Provider Perceptions of Real-Time Continuous Glucose Monitoring (rtCGM) in Patients With Diabetes and COVID-19 Admitted to the ICU
    Kenneth W. Chow, Danielle J. Kelly, Mary C. Rieff, Patricia A. Skala, Igor Kravets, Marina M. Charitou, Eric J. Morley, Rajarsi Gupta, Joshua D. Miller
    Journal of Diabetes Science and Technology.2021; 15(3): 607.     CrossRef
  • Diabetic ketoacidosis presented with COVID-19 infection: A rare case report
    Deniz Çekiç, Selçuk Yaylacı, Sümeyye Çekiç, Kubilay İşsever, Hamad Dheir, Havva Kocayiğit, Mehmet Halil Öztürk, Oğuz Karabay
    Journal of Clinical Medicine of Kazakhstan.2021; 18(1): 79.     CrossRef
  • Renin-angiotensin system modulators and other risk factors in COVID-19 patients with hypertension: a Korean perspective
    Hee-Sung Kim, Minseok Kang, Gilwon Kang
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Increased Incidence of Pediatric Diabetic Ketoacidosis After COVID-19: A Two-Center Retrospective Study in Korea
    Min Jeong Han, Jun Ho Heo
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 783.     CrossRef
  • Diabetes, obesity, and insulin resistance in COVID-19: molecular interrelationship and therapeutic implications
    Andrey Santos, Daniéla Oliveira Magro, Rosana Evangelista-Poderoso, Mario José Abdalla Saad
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Neuropsychiatric Symptoms of COVID-19 Explained by SARS-CoV-2 Proteins’ Mimicry of Human Protein Interactions
    Hale Yapici-Eser, Yunus Emre Koroglu, Ozgur Oztop-Cakmak, Ozlem Keskin, Attila Gursoy, Yasemin Gursoy-Ozdemir
    Frontiers in Human Neuroscience.2021;[Epub]     CrossRef
  • COVID-19 and Diabetic Ketoacidosis: Report of Eight Cases
    Balraj Singh, Prem Patel , Parminder Kaur , Nicole Majachani, Michael Maroules
    Cureus.2021;[Epub]     CrossRef
  • Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation
    Juan L Domínguez-Olmedo, Álvaro Gragera-Martínez, Jacinto Mata, Victoria Pachón Álvarez
    Journal of Medical Internet Research.2021; 23(4): e26211.     CrossRef
  • Effect of COVID-19 on management of type 1 diabetes: Pushing the boundaries of telemedical healthcare
    Ines Bilic Curcic, Maja Cigrovski Berkovic, Tomislav Kizivat, Silvija Canecki Varzic, Robert Smolic, Martina Smolic
    World Journal of Diabetes.2021; 12(6): 780.     CrossRef
  • COVID-19 and Diabetes: Understanding the Interrelationship and Risks for a Severe Course
    Cyril P. Landstra, Eelco J. P. de Koning
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Real-World Studies Support Use of Continuous Glucose Monitoring in Type 1 and Type 2 Diabetes Independently of Treatment Regimen
    James R. Gavin, Clifford J. Bailey
    Diabetes Technology & Therapeutics.2021; 23(S3): S-19.     CrossRef
  • Evaluation of Characteristics and Outcomes for Patients with Diabetic Ketoacidosis (DKA) With and Without COVID-19 in Elmhurst Queens During Similar Three-Month Periods in 2019 and 2020
    Urja Patel, Linda Deluxe, Carlos Salama, Aaron Ross Jimenez, Adrian Whiting, Cedrick Lubin, Nancy Tarlin
    Cureus.2021;[Epub]     CrossRef
  • Temporal trends in emergency admissions for diabetic ketoacidosis in people with diabetes in England before and during the COVID-19 pandemic: a population-based study
    Shivani Misra, Emma Barron, Eszter Vamos, Stephen Thomas, Ketan Dhatariya, Partha Kar, Bob Young, Kamlesh Khunti, Jonathan Valabhji
    The Lancet Diabetes & Endocrinology.2021; 9(10): 671.     CrossRef
  • Diabetes mellitus and COVID-19: Understanding the association in light of current evidence
    Saikat Sen, Raja Chakraborty, Pratap Kalita, Manash Pratim Pathak
    World Journal of Clinical Cases.2021; 9(28): 8327.     CrossRef
  • Follow-Up Study of the Cardiopulmonary and Psychological Outcomes of COVID-19 Survivors Six Months After Discharge in Sichuan, China
    Shuiping Dai, Bennan Zhao, Dafeng Liu, Yongzhao Zhou, Yaling Liu, Lijuan Lan, Yalun Li, Wenxin Luo, Yilan Zeng, Weimin Li
    International Journal of General Medicine.2021; Volume 14: 7207.     CrossRef
  • Diabetic ketoacidosis in patients with SARS-CoV-2: a systematic review and meta-analysis
    Saad Alhumaid, Abbas Al Mutair, Zainab Al Alawi, Ali A. Rabaan, Mohammed A. Alomari, Sadiq A. Al Salman, Ahmed S. Al-Alawi, Mohammed H. Al Hassan, Hesham Alhamad, Mustafa A. Al-kamees, Fawzi M. Almousa, Hani N. Mufti, Ali M. Alwesabai, Kuldeep Dhama, Jaff
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • In-hospital Clinical Complications of COVID-19: A Brief Overview
    Kevin John John, Jemimah Nayar, Ajay Kumar Mishra, Vijairam Selvaraj, Mohammad Saud Khan, Amos Lal
    Future Virology.2021; 16(11): 717.     CrossRef
  • Combined Hyperglycemic Hyperosmolar Syndrome and Diabetic Ketoacidosis Associated with COVID-19 in a Pediatric Patient
    Yu Shan Tseng, Bradley Tilford, Usha Sethuraman, Katherine Cashen, Mehmet Doganay
    Case Reports in Critical Care.2021; 2021: 1.     CrossRef
  • Toddler With New Onset Diabetes and Atypical Hemolytic-Uremic Syndrome in the Setting of COVID-19
    Faraz Alizadeh, Amanda O’Halloran, Areej Alghamdi, Charlotte Chen, Maria Trissal, Avram Traum, Danielle DeCourcey
    Pediatrics.2021;[Epub]     CrossRef
  • A Complicated Case of COVID-19 and Hyperglycemic Hyperosmolar Syndrome in an Adolescent Male
    Anisha Gohil, Stefan Malin, Kamal Abulebda, Tamara S. Hannon
    Hormone Research in Paediatrics.2021; 94(1-2): 71.     CrossRef
  • COVID-19 in People with Diabetes: Perspectives from Saudi Arabia
    Asirvatham Alwin Robert, Mohamed Abdulaziz Al Dawish
    Current Diabetes Reviews.2021;[Epub]     CrossRef
  • A Case of COVID-19 with Acute Myocardial Infarction and Cardiogenic Shock
    Hong Nyun Kim, Jang Hoon Lee, Hun Sik Park, Dong Heon Yang, Se Yong Jang, Myung Hwan Bae, Yongkeun Cho, Shung Chull Chae, Yong-Hoon Lee
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Clinical profile and outcomes in COVID-19 patients with diabetic ketoacidosis: A systematic review of literature
    Rimesh Pal, Mainak Banerjee, Urmila Yadav, Sukrita Bhattacharjee
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(6): 1563.     CrossRef
  • Diabetic Ketoacidosis in COVID-19: Unique Concerns and Considerations
    Nadine E Palermo, Archana R Sadhu, Marie E McDonnell
    The Journal of Clinical Endocrinology & Metabolism.2020; 105(8): 2819.     CrossRef
  • A Case of Combined Diabetic Ketoacidosis and Hyperosmolar Hyperglycemic State in a Patient With COVID-19
    Shemitha Rafique, Fahad W Ahmed
    Cureus.2020;[Epub]     CrossRef
  • COVID’s Razor: RAS Imbalance, the Common Denominator Across Disparate, Unexpected Aspects of COVID-19


    Maureen Czick, Christine Shapter, Robert Shapter
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3169.     CrossRef
  • Letter: Acute Hyperglycemic Crises with Coronavirus Disease-19: Case Reports (Diabetes Metab J 2020;44:349–53)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2020; 44(3): 480.     CrossRef
  • COVID-19 in people with diabetes: understanding the reasons for worse outcomes
    Matteo Apicella, Maria Cristina Campopiano, Michele Mantuano, Laura Mazoni, Alberto Coppelli, Stefano Del Prato
    The Lancet Diabetes & Endocrinology.2020; 8(9): 782.     CrossRef
  • Diabetes and COVID-19: Global and regional perspectives
    In-Kyung Jeong, Kun Ho Yoon, Moon Kyu Lee
    Diabetes Research and Clinical Practice.2020; 166: 108303.     CrossRef
  • Hyperglycemia, Hypertriglyceridemia, and Acute Pancreatitis in COVID-19 Infection
    Chiranjeevi Gadiparthi, Mehak Bassi, Balaji Yegneswaran, Sammy Ho, Capecomorin S. Pitchumoni
    Pancreas.2020; 49(7): e62.     CrossRef
  • Response: Acute Hyperglycemic Crises with Coronavirus Disease-19: Case Reports (Diabetes Metab J 2020;44:349–53)
    Na-young Kim, Eunyeong Ha, Jun Sung Moon, Yong-Hoon Lee, Eun Young Choi
    Diabetes & Metabolism Journal.2020; 44(3): 484.     CrossRef
  • Diabetic ketoacidosis precipitated by COVID-19: A report of two cases and review of literature
    Pavan Kumar Reddy, Mohammad Shafi Kuchay, Yatin Mehta, Sunil Kumar Mishra
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(5): 1459.     CrossRef
  • COVID-19 and diabetes: What have we learned so far?
    Nida Taher, Mohammed SB Huda, Tahseen A Chowdhury
    Clinical Medicine.2020; 20(4): e87.     CrossRef
  • High dose ascorbic acid treatment in COVID-19 patients raised some problems in clinical chemistry testing
    Fatih Yesildal, Ferruh Kemal Isman
    Turkish Journal of Biochemistry.2020; 45(5): 491.     CrossRef
  • Coronavirus Disease 2019 and Diabetes: The Epidemic and the Korean Diabetes Association Perspective
    Junghyun Noh, Hyun-Ha Chang, In-Kyung Jeong, Kun Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(3): 372.     CrossRef
  • Practical considerations for pregnant women with diabetes and severe acute respiratory syndrome coronavirus 2 infection
    Glenn P. Boyles, Stephen Thung, Steven G. Gabbe, Mark B. Landon, Maged M. Costantine
    American Journal of Obstetrics & Gynecology MFM.2020; 2(4): 100210.     CrossRef
  • Protracted ketonaemia in hyperglycaemic emergencies in COVID-19: a retrospective case series
    Eleni Armeni, Umaira Aziz, Sulmaaz Qamar, Sadia Nasir, Chidambaram Nethaji, Rupert Negus, Nicholas Murch, Huw Clarke Beynon, Pierre Bouloux, Miranda Rosenthal, Sidrah Khan, Ahmed Yousseif, Ravi Menon, Efthimia Karra
    The Lancet Diabetes & Endocrinology.2020; 8(8): 660.     CrossRef
  • Development of a tablet PC-based portable device for colorimetric determination of assays including COVID-19 and other pathogenic microorganisms
    Woo Sik Yoo, Hyung Soo Han, Jung Gon Kim, Kitaek Kang, Hyo-Sung Jeon, Jin-Young Moon, Hyeonmi Park
    RSC Advances.2020; 10(54): 32946.     CrossRef
  • Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
    Akhil Vaid, Sulaiman Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish Paran
    Journal of Medical Internet Research.2020; 22(11): e24018.     CrossRef
  • COVID-19: the endocrine opportunity in a pandemic
    Subhankar Chatterjee, Ritwik Ghosh, Payel Biswas, Souvik Dubey, Rishi T. Guria, Chandra B. Sharma, Sanjay Kalra
    Minerva Endocrinologica.2020;[Epub]     CrossRef
  • Management of Diabetes in Coronavirus Disease 2019: Prognosis and Practical Issues
    Hye Soon Kim
    The Journal of Korean Diabetes.2020; 21(3): 120.     CrossRef
  • Short term follow-up of patients presenting with acute onset diabetes and diabetic ketoacidosis during an episode of COVID-19
    Mohammad Shafi Kuchay, Pavan Kumar Reddy, Sakshi Gagneja, Anu Mathew, Sunil Kumar Mishra
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(6): 2039.     CrossRef
  • Diabetic ketoacidosis precipitated by Coronavirus disease 2019 infection: Case series
    Ibrahim Alsadhan, Shahad Alruwashid, Maram Alhamad, Sarah Alajmi, Sara Alshehri, Eman Alfadhli, Aishah Ekhzaimy
    Current Therapeutic Research.2020; 93: 100609.     CrossRef
  • Determinants of survival after severe acute respiratory syndrome coronavirus 2 infection in Mexican outpatients and hospitalised patients
    F.-J. Prado-Galbarro, C. Sanchez-Piedra, A.E. Gamiño-Arroyo, C. Cruz-Cruz
    Public Health.2020; 189: 66.     CrossRef
  • SARS-CoV-2 Cell Entry Factors ACE2 and TMPRSS2 Are Expressed in the Microvasculature and Ducts of Human Pancreas but Are Not Enriched in β Cells
    Katie C. Coate, Jeeyeon Cha, Shristi Shrestha, Wenliang Wang, Luciana Mateus Gonçalves, Joana Almaça, Meghan E. Kapp, Maria Fasolino, Ashleigh Morgan, Chunhua Dai, Diane C. Saunders, Rita Bottino, Radhika Aramandla, Regina Jenkins, Roland Stein, Klaus H.
    Cell Metabolism.2020; 32(6): 1028.     CrossRef
  • Caring for Hospitalized Patients with Diabetes Mellitus, Hyperglycemia, and COVID-19: Bridging the Remaining Knowledge Gaps
    Amisha Wallia, Grace Prince, Emilie Touma, Malek El Muayed, Jane Jeffrie Seley
    Current Diabetes Reports.2020;[Epub]     CrossRef
  • Recovery From Acute Kidney Injury With Diabetic Ketoacidosis Following SARS-CoV-2 Infection: A Case Report and Literature Review
    Chang Xu, Umer Zia
    Cureus.2020;[Epub]     CrossRef
  • The Outbreak of COVID-19 and Diabetes in Korea: “We Will Find a Way as We Have Always Done”
    Kyu Chang Won, Kun Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(2): 211.     CrossRef
Review
Basic Research
The Role of CD36 in Type 2 Diabetes Mellitus: β-Cell Dysfunction and Beyond
Jun Sung Moon, Udayakumar Karunakaran, Elumalai Suma, Seung Min Chung, Kyu Chang Won
Diabetes Metab J. 2020;44(2):222-233.   Published online April 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0053
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AbstractAbstract PDFPubReader   

Impaired β-cell function is the key pathophysiology of type 2 diabetes mellitus, and chronic exposure of nutrient excess could lead to this tragedy. For preserving β-cell function, it is essential to understand the cause and mechanisms about the progression of β-cells failure. Glucotoxicity, lipotoxicity, and glucolipotoxicity have been suggested to be a major cause of β-cell dysfunction for decades, but not yet fully understood. Fatty acid translocase cluster determinant 36 (CD36), which is part of the free fatty acid (FFA) transporter system, has been identified in several tissues such as muscle, liver, and insulin-producing cells. Several studies have reported that induction of CD36 increases uptake of FFA in several cells, suggesting the functional interplay between glucose and FFA in terms of insulin secretion and oxidative metabolism. However, we do not currently know the regulating mechanism and physiological role of CD36 on glucolipotoxicity in pancreatic β-cells. Also, the downstream and upstream targets of CD36 related signaling have not been defined. In the present review, we will focus on the expression and function of CD36 related signaling in the pancreatic β-cells in response to hyperglycemia and hyperlipidemia (ceramide) along with the clinical studies on the association between CD36 and metabolic disorders.

Citations

Citations to this article as recorded by  
  • Nrf2 inhibition regulates intracellular lipid accumulation in mouse insulinoma cells and improves insulin secretory function
    Alpana Mukhuty, Samanwita Mandal, Chandrani Fouzder, Snehasis Das, Dipanjan Chattopadhyay, Tanmay Majumdar, Rakesh Kundu
    Molecular and Cellular Endocrinology.2024; 581: 112112.     CrossRef
  • CD36 gene variant rs1761667(G/A) as a biomarker in obese type 2 diabetes mellitus cases
    Ashwin Kumar Shukla, Amreen Shamsad, Atar Singh Kushwah, Shalini Singh, Kauser Usman, Monisha Banerjee
    Egyptian Journal of Medical Human Genetics.2024;[Epub]     CrossRef
  • CD36 regulates macrophage and endothelial cell activation and multinucleate giant cell formation in anti neutrophil cytoplasm antibody vasculitis
    Xiang Zhang, Catherine King, Alexander Dowell, Paul Moss, Lorraine Harper, Dimitrios Chanouzas, Xiong-zhong Ruan, Alan David Salama
    Clinical Immunology.2024; 260: 109914.     CrossRef
  • Identification and validation of oxidative stress-related genes in sepsis-induced myopathy
    Ning Zhang, Dan Huang, Xiang Li, JinXia Yan, Qi Yan, WeiXing Ge, Jun Zhou
    Medicine.2024; 103(18): e37933.     CrossRef
  • Monocyte CD36 Expression Predicts Disease Activity in Patients With Crohn’s Disease
    Jiejie Zhu, Nannan Zhu, Jiren Wang, Qiuyuan Liu, Qiao Mei, Andrew S. Day
    Gastroenterology Research and Practice.2024;[Epub]     CrossRef
  • CD36 inhibition corrects lipid-FetuinA mediated insulin secretory defects by preventing intracellular lipid accumulation and inflammation in the pancreatic beta cells
    Samanwita Mandal, Snehasish Nag, Oindrila Mukherjee, Nandita Das, Priyajit Banerjee, Tanmay Majumdar, Satinath Mukhopadhyay, Kathrin Maedler, Rakesh Kundu
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2024; : 167580.     CrossRef
  • The association of soluble cluster of differentiation 36 with metabolic diseases: A potential biomarker and therapeutic target
    Yun Li, Yaxi Chen, Xiong Z. Ruan
    Pediatric Discovery.2023;[Epub]     CrossRef
  • The role of candidate transport proteins in β‐cell long‐chain fatty acid uptake: Where are we now?
    Christina Clavelo‐Farrow, Patricia Thomas
    Diabetic Medicine.2023;[Epub]     CrossRef
  • SARS-CoV-2 in the pancreas and the impaired islet function in COVID-19 patients
    Ningfei Ji, Mingshun Zhang, Liang Ren, Yunyun Wang, Bicheng Hu, Jie Xiang, Yingyun Gong, Chaojie Wu, Guoqiang Qu, Wenqiu Ding, Zhiqiang Yin, Shan Li, Zhengxia Wang, Lianzheng Zhou, Xueqin Chen, Yuan Ma, Jinhai Tang, Yun Liu, Liang Liu, Mao Huang
    Emerging Microbes & Infections.2022; 11(1): 1115.     CrossRef
  • Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Diabetes Research and Clinical Practice.2022; 189: 109939.     CrossRef
  • Lipotoxicity in a Vicious Cycle of Pancreatic Beta Cell Exhaustion
    Vladimir Grubelnik, Jan Zmazek, Matej Završnik, Marko Marhl
    Biomedicines.2022; 10(7): 1627.     CrossRef
  • Association of cluster determinant 36, scavenger receptor class B type 1, and major facilitator superfamily domain containing the 2a genetic polymorphism with serum lipid profile in aging population with type 2 diabetes mellitus
    Xixiang Wang, Xiaojun Ma, Jingjing Xu, Yujie Guo, Shaobo Zhou, Huiyan Yu, Linhong Yuan
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • CD36-Fatty Acid-Mediated Metastasis via the Bidirectional Interactions of Cancer Cells and Macrophages
    Noorzaileen Eileena Zaidi, Nur Aima Hafiza Shazali, Thean-Chor Leow, Mohd Azuraidi Osman, Kamariah Ibrahim, Wan-Hee Cheng, Kok-Song Lai, Nik Mohd Afizan Nik Abd Rahman
    Cells.2022; 11(22): 3556.     CrossRef
  • The Past and Present Lives of the Intraocular Transmembrane Protein CD36
    Rucui Yang, Qingping Liu, Mingzhi Zhang
    Cells.2022; 12(1): 171.     CrossRef
  • Implicating the effect of ketogenic diet as a preventive measure to obesity and diabetes mellitus
    Sachin Kumar, Tapan Behl, Monika Sachdeva, Aayush Sehgal, Shilpa Kumari, Arun Kumar, Gagandeep Kaur, Harlokesh Narayan Yadav, Simona Bungau
    Life Sciences.2021; 264: 118661.     CrossRef
  • Contribution of rs3211938 polymorphism at CD36 to glucose levels, oxidized low-density lipoproteins, insulin resistance, and body mass index in Mexican mestizos with type-2 diabetes from western Mexico
    Beatriz Teresita Martín-Márquez, Flavio Sandoval-Garcia, Mónica Vazquez-Del Mercado, Erika-Aurora Martínez-García, Fernanda-Isadora Corona-Meraz, Ana-Lilia Fletes-Rayas, Soraya-Amalí Zavaleta-Muñiz
    Nutrición Hospitalaria.2021;[Epub]     CrossRef
  • Investigating the association of CD36 gene polymorphisms (rs1761667 and rs1527483) with T2DM and dyslipidemia: Statistical analysis, machine learning based prediction, and meta-analysis
    Ma’mon M. Hatmal, Walhan Alshaer, Ismail S. Mahmoud, Mohammad A. I. Al-Hatamleh, Hamzeh J. Al-Ameer, Omar Abuyaman, Malek Zihlif, Rohimah Mohamud, Mais Darras, Mohammad Al Shhab, Rand Abu-Raideh, Hilweh Ismail, Ali Al-Hamadi, Ali Abdelhay, Kanhaiya Singh
    PLOS ONE.2021; 16(10): e0257857.     CrossRef
  • Misregulation of Wnt Signaling Pathways at the Plasma Membrane in Brain and Metabolic Diseases
    Mustafa Karabicici, Yagmur Azbazdar, Evin Iscan, Gunes Ozhan
    Membranes.2021; 11(11): 844.     CrossRef
  • CD36 Signal Transduction in Metabolic Diseases: Novel Insights and Therapeutic Targeting
    Udayakumar Karunakaran, Suma Elumalai, Jun-Sung Moon, Kyu-Chang Won
    Cells.2021; 10(7): 1833.     CrossRef
Brief Report
Cardiovascular risk/Epidemiology
Article image
Clinical Impact of Dysglycemia in Patients with an Acute Myocardial Infarction
Jae-Wook Chung, Yeong-Seon Park, Jeong-Eon Seo, Yeseul Son, Cheol-Woo Oh, Chan-Hee Lee, Jong-Ho Nam, Jung-Hee Lee, Jang-Won Son, Ung Kim, Jong-Seon Park, Kyu-Chang Won, Dong-Gu Shin
Diabetes Metab J. 2021;45(2):270-274.   Published online April 16, 2020
DOI: https://doi.org/10.4093/dmj.2019.0164
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Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   

This study aimed to determine the impact of dysglycemia on myocardial injury and cardiac dysfunction in acute myocardial infarctions (AMIs). From 2005 to 2016, a total of 1,593 patients with AMIs who underwent percutaneous coronary intervention were enrolled. The patients were classified into five groups according to the admission glucose level: ≤80, 81 to 140, 141 to 200, 201 to 260, and ≥261 mg/dL. The clinical and echocardiographic parameters and 30-day mortality were analyzed. The peak troponin I and white blood cell levels had a positive linear relationship to the admission glucose level. The left ventricular ejection fraction had an inverted U-shape trend, and the E/E' ratio was U-shaped based on euglycemia. The 30-day mortality also increased as the admission glucose increased, and the cut-off value for predicting the mortality was 202.5 mg/dL. Dysglycemia, especially hyperglycemia, appears to be associated with myocardial injury and could be another adjunctive parameter for predicting mortality in patients with AMIs.

Citations

Citations to this article as recorded by  
  • Optimal Low-Density Lipoprotein Cholesterol Levels in Adults Without Diabetes Mellitus: A Nationwide Population-Based Study Including More Than 4 Million Individuals From South Korea
    Ji Hye Huh, Sang Wook Park, Tae-Hwa Go, Dae Ryong Kang, Sang-Hak Lee, Jang-Young Kim
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Association of admission hyperglycemia and all-cause mortality in acute myocardial infarction with percutaneous coronary intervention: A dose–response meta-analysis
    Shao-Yong Cheng, Hao Wang, Shi-Hua Lin, Jin-Hui Wen, Ling-Ling Ma, Xiao-Ce Dai
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • Basic types of the first-day glycemia in acute myocardial infarction: Prognostic, diagnostic, threshold and target glycemia
    Goran Koracevic, Milan Djordjevic
    Primary Care Diabetes.2021; 15(3): 614.     CrossRef
  • Clinical Impact of Dysglycemia in Patients with an Acute Myocardial Infarction (Diabetes Metab J 2021;45:270-4)
    Bo-Yeon Kim
    Diabetes & Metabolism Journal.2021; 45(5): 787.     CrossRef
  • Clinical Impact of Dysglycemia in Patients with an Acute Myocardial Infarction (Diabetes Metab J 2021;45:270-4)
    Chan-Hee Lee
    Diabetes & Metabolism Journal.2021; 45(5): 791.     CrossRef
  • The Effects of Glucose Lowering Agents on the Secondary Prevention of Coronary Artery Disease in Patients with Type 2 Diabetes
    Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(5): 977.     CrossRef
  • Effect of Admission Hyperglycemia on Short-Term Prognosis of Patients with Non-ST Elevation Acute Coronary Syndrome without Diabetes Mellitus
    Wei Liu, Zhijuan Li, Shiying Xing, Yanwei Xu, Gaetano Santulli
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
Review
Others
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications
Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
Diabetes Metab J. 2019;43(4):383-397.   Published online July 25, 2019
DOI: https://doi.org/10.4093/dmj.2019.0121
  • 29,481 View
  • 1,241 Download
  • 213 Web of Science
  • 223 Crossref
AbstractAbstract PDFPubReader   

By providing blood glucose (BG) concentration measurements in an almost continuous-time fashion for several consecutive days, wearable minimally-invasive continuous glucose monitoring (CGM) sensors are revolutionizing diabetes management, and are becoming an increasingly adopted technology especially for diabetic individuals requiring insulin administrations. Indeed, by providing glucose real-time insights of BG dynamics and trend, and being equipped with visual and acoustic alarms for hypo- and hyperglycemia, CGM devices have been proved to improve safety and effectiveness of diabetes therapy, reduce hypoglycemia incidence and duration, and decrease glycemic variability. Furthermore, the real-time availability of BG values has been stimulating the realization of new tools to provide patients with decision support to improve insulin dosage tuning and infusion. The aim of this paper is to offer an overview of current literature and future possible developments regarding CGM technologies and applications. In particular, first, we outline the technological evolution of CGM devices through the last 20 years. Then, we discuss about the current use of CGM sensors from patients affected by diabetes, and, we report some works proving the beneficial impact provided by the adoption of CGM. Finally, we review some recent advanced applications for diabetes treatment based on CGM sensors.

Citations

Citations to this article as recorded by  
  • Continuous glucose monitoring metrics following sub-Tenon’s injection of triamcinolone acetonide for diabetic macular edema
    Rei Sotani-Ogawa, Sentaro Kusuhara, Yushi Hirota, Kyung Woo Kim, Wataru Matsumiya, Wataru Ogawa, Makoto Nakamura
    Graefe's Archive for Clinical and Experimental Ophthalmology.2024; 262(2): 449.     CrossRef
  • Identifying and mapping measures of medication safety during transfer of care in a digital era: a scoping literature review
    Catherine Leon, Helen Hogan, Yogini H Jani
    BMJ Quality & Safety.2024; 33(3): 173.     CrossRef
  • Highly sensitive and stable glucose sensing using N-type conducting polymer based organic electrochemical transistor
    Gang Zhou, Zhu Cao, Yangxuan Liu, Haoyu Zheng, Kai Xu
    Journal of Electroanalytical Chemistry.2024; 952: 117961.     CrossRef
  • Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial
    Caterina Bérubé, Vera Franziska Lehmann, Martin Maritsch, Mathias Kraus, Stefan Feuerriegel, Felix Wortmann, Thomas Züger, Christoph Stettler, Elgar Fleisch, A Baki Kocaballi, Tobias Kowatsch
    JMIR Human Factors.2024; 11: e42823.     CrossRef
  • Nafion based biosensors: a review of recent advances and applications
    Roya Mohammadzadeh Kakhki
    International Journal of Polymeric Materials and Polymeric Biomaterials.2024; 73(17): 1470.     CrossRef
  • Can Electrochemical Aptasensors Achieve the Commercial Success of Glucose Biosensors?
    Sina Ardalan, Anna Ignaszak
    Advanced Sensor Research.2024;[Epub]     CrossRef
  • Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes
    Huiqi Y. Lu, Xiaorong Ding, Jane E. Hirst, Yang Yang, Jenny Yang, Lucy Mackillop, David A. Clifton
    IEEE Reviews in Biomedical Engineering.2024; 17: 98.     CrossRef
  • Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study
    Tomoko Handa, Takeshi Onoue, Tomoko Kobayashi, Ryutaro Maeda, Keigo Mizutani, Ayana Yamagami, Tamaki Kinoshita, Yoshinori Yasuda, Shintaro Iwama, Takashi Miyata, Mariko Sugiyama, Hiroshi Takagi, Daisuke Hagiwara, Hidetaka Suga, Ryoichi Banno, Yoshinori Az
    JMIR Diabetes.2024; 9: e48019.     CrossRef
  • The Association of Macronutrient Consumption and BMI to Exhaled Carbon Dioxide in Lumen Users: Retrospective Real-World Study
    Shlomo Yeshurun, Tomer Cramer, Daniel Souroujon, Merav Mor
    JMIR mHealth and uHealth.2024; 12: e56083.     CrossRef
  • Generative adversarial network-based data augmentation for improving hypoglycemia prediction: A proof-of-concept study
    Wonju Seo, Namho Kim, Sung-Woon Park, Sang-Man Jin, Sung-Min Park
    Biomedical Signal Processing and Control.2024; 92: 106077.     CrossRef
  • Pre‐dinner walks may be superior to post‐dinner walks for glucose time in range in adults with type 1 diabetes on hybrid closed‐loop insulin delivery systems
    Lauren V. Turner, Michael C. Riddell
    Diabetes, Obesity and Metabolism.2024; 26(6): 2492.     CrossRef
  • Real-world effectiveness of GLP-1 receptor agonist-based treatment strategies on “time in range” in patients with type 2 diabetes
    Yongru Chen, Jingxian Chen, Shuo Zhang, Dan Zhu, Feiying Deng, Rui Zuo, Yufei Hu, Yue Zhao, Yale Duan, Benwei Lin, Fengwu Chen, Yun Liang, Jiaxiong Zheng, Barkat Ali Khan, Kaijian Hou
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • Advancements in nanohybrid material-based acetone gas sensors relevant to diabetes diagnosis: A comprehensive review
    Arpit Verma, Deepankar Yadav, Subramanian Natesan, Monu Gupta, Bal Chandra Yadav, Yogendra Kumar Mishra
    Microchemical Journal.2024; 201: 110713.     CrossRef
  • Utility of Flash Glucose Monitoring to Determine Glucose Variation Induced by Different Doughs in Persons with Type 2 Diabetes
    Maria Antonietta Taras, Sara Cherchi, Ilaria Campesi, Valentina Margarita, Gavino Carboni, Paola Rappelli, Giancarlo Tonolo
    Diabetology.2024; 5(1): 129.     CrossRef
  • Facile chemiresistive biosensor functionalized with PANI/GOx and novel green synthesized silver nanoparticles for glucose sensing
    Jitendra B. Zalke, N.P. Narkhede, Dinesh R. Rotake, Shiv Govind Singh
    Microchemical Journal.2024; 200: 110339.     CrossRef
  • A novel questionnaire for evaluating digital tool use (DTUQ-D) among individuals with type 2 diabetes: exploring the digital landscape
    Ora Peleg, Efrat Hadar, Meyran Boniel-Nissim
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Continuous glucose monitoring with structured education in adults with type 2 diabetes managed by multiple daily insulin injections: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Kang Hee Sim, Bo-Yeon Kim, Jae Hyoung Cho, Jun Sung Moon, Soo Lim, Eun Seok Kang, Cheol-Young Park, Sin Gon Kim, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1223.     CrossRef
  • Global scientific trends on the islet transplantation in the 21st century: A bibliometric and visualized analysis
    Sheng Chen, PeiZhong Wu, Ting Zhang, Jianqiang Zhang, Hongjun Gao
    Medicine.2024; 103(17): e37945.     CrossRef
  • A method for evaluating the risks of glucose dysregulation in daily life by continuous measurement of glucose excursions under reduced glycemic load: a pilot study
    Yoshitada Katagiri, Hiromi Ozaku, Katsuhiko Kondo
    Frontiers in Sensors.2024;[Epub]     CrossRef
  • The Impact of Missing Continuous Blood Glucose Samples on Machine Learning Models for Predicting Postprandial Hypoglycemia: An Experimental Analysis
    Najib Ur Rehman, Ivan Contreras, Aleix Beneyto, Josep Vehi
    Mathematics.2024; 12(10): 1567.     CrossRef
  • Measures of nutrition status and health for weight‐inclusive patient care: A narrative review
    Kasuen Mauldin, Giselle A. P. Pignotti, John Gieng
    Nutrition in Clinical Practice.2024; 39(4): 751.     CrossRef
  • Long-Term Evaluation of Inserted Nanocomposite Hydrogel-Based Phosphorescent Oxygen Biosensors: Evolution of Local Tissue Oxygen Levels and Foreign Body Response
    David Chimene, Waqas Saleem, Nichole Longbottom, Brian Ko, Ananth Soundaram Jeevarathinam, Staci Horn, Michael J. McShane
    ACS Applied Bio Materials.2024; 7(6): 3964.     CrossRef
  • Comparison of Metabolic Control in Children and Adolescents Treated with Insulin Pumps
    Agnieszka Lejk, Karolina Myśliwiec, Arkadiusz Michalak, Barbara Pernak, Wojciech Fendler, Małgorzata Myśliwiec
    Children.2024; 11(7): 839.     CrossRef
  • Kontinuierliche Glukosemessung bei Menschen mit Typ-2-Diabetes ohne intensivierte Insulintherapie: eine Standortbestimmung
    Jochen Seufert, Ingrid Dänschel, Stefan Gölz, Nicola Haller, Bernhard Kulzer, Susanne Tan, Oliver Schnell, Tobias Wiesner, Jens Kroeger
    Diabetologie und Stoffwechsel.2024; 19(05): 356.     CrossRef
  • The Influence of Nickel Electrode’s Morphology on Glucose Detection
    Hailong Hu, Guohua Ma, Baogang Guo, Xingquan Zhang, Ruishi Xie, Haifeng Liu, Heyan Huang
    Electrocatalysis.2024; 15(5): 374.     CrossRef
  • Insertable Biosensors: Combining Implanted Sensing Materials with Wearable Monitors
    David Chimene, Kirstie M.K. Queener, Brian S. Ko, Mike McShane, Michael Daniele
    Annual Review of Biomedical Engineering .2024; 26(1): 197.     CrossRef
  • Development and Effectiveness of a Pattern Management Educational Program Using Continuous Glucose Monitoring for Type 2 Diabetic Patients in Korea: A Quasi-Experimental Study
    Seung-Yeon Kong, Mi-Kyoung Cho
    Healthcare.2024; 12(14): 1381.     CrossRef
  • Review of Microwave Near-Field Sensing and Imaging Devices in Medical Applications
    Cristina Origlia, David O. Rodriguez-Duarte, Jorge A. Tobon Vasquez, Jean-Charles Bolomey, Francesca Vipiana
    Sensors.2024; 24(14): 4515.     CrossRef
  • Diabetes Management in Transition: Market Insights and Technological Advancements in CGM and Insulin Delivery
    Tae Sang Yu, Soojeong Song, Junwoo Yea, Kyung‐In Jang
    Advanced Sensor Research.2024;[Epub]     CrossRef
  • How to Use Continuous Glucose Monitoring Efficiently in Diabetes Management: Opinions and Recommendations by German Experts on the Status and Open Questions
    Andreas Thomas, Thomas Haak, Astrid Tombek, Bernhard Kulzer, Dominic Ehrmann, Olga Kordonouri, Jens Kröger, Oliver Schubert-Olesen, Ralf Kolassa, Thorsten Siegmund, Nicola Haller, Lutz Heinemann
    Journal of Diabetes Science and Technology.2024;[Epub]     CrossRef
  • Patterned thin film enzyme electrodes via spincoating and glutaraldehyde vapor crosslinking: towards scalable fabrication of integrated sensor-on-CMOS devices
    Dvin Adalian, Xiomi Madero, Samson Chen, Musab Jilani, Richard D. Smith, Songtai Li, Christin Ahlbrecht, Juan Cardenas, Abhinav Agarwal, Azita Emami, Oliver Plettenburg, Peter A. Petillo, Axel Scherer
    Lab on a Chip.2024; 24(17): 4172.     CrossRef
  • Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas Using Adaptive Generative and Discriminative Models
    Deepjyoti Kalita, Hrishita Sharma, Khalid B. Mirza
    IEEE Journal of Biomedical and Health Informatics.2024; 28(8): 4963.     CrossRef
  • Management of Continuous Glucose Monitors in Radiation Oncology Patients
    Johnathan Zeng, Tara Kosak, Samir Malkani, Julie C. Hudson, Neil E. Martin, Roy B. Tishler, Itai M. Pashtan
    Practical Radiation Oncology.2024;[Epub]     CrossRef
  • Glycemic Outcomes and Nurse Perceptions of Continuous Glucose Monitoring for Hospitalized Patients
    Alexandra Thullen, Rebecca Gerber, Alyson Keen
    Journal of Nursing Care Quality.2024; 39(4): 310.     CrossRef
  • Advances in Type 1 Diabetes Mellitus Management in Children
    Mridu Bahal, Vineeta Pande, Jasleen Dua, Shailaja Mane
    Cureus.2024;[Epub]     CrossRef
  • Time‐in‐range derived from self‐measured blood glucose in people with type 2 diabetes advancing to iGlarLixi: A participant‐level pooled analysis of three phase 3 LixiLan randomized controlled trials
    Martin Haluzík, Mohammed E. Al‐Sofiani, Alice Y. Y. Cheng, Felipe Lauand, Lydie Melas‐Melt, Julio Rosenstock
    Diabetes, Obesity and Metabolism.2024; 26(11): 5046.     CrossRef
  • Evaluating the Impact of Continuous Glucose Monitoring on Erectile Dysfunction in Type 1 Diabetes: A Focus on Reducing Glucose Variability and Inflammation
    Nicola Tecce, Davide Menafra, Mattia Proganò, Mario Felice Tecce, Rosario Pivonello, Annamaria Colao
    Healthcare.2024; 12(18): 1823.     CrossRef
  • Indications, specifics and reimbursement of glucose sensors in type 2 diabetes patients
    Kateřina Štechová
    Vnitřní lékařství.2024; 70(6): 390.     CrossRef
  • Enzyme free highly sensitive glucose biosensor based on Ag/Cu2O nanostructures deposited on TiO2 nanotube arrays
    Bittu Kumar, Sudip Kumar Sinha
    Monatshefte für Chemie - Chemical Monthly.2024; 155(11): 1095.     CrossRef
  • The status of blood glucose monitoring and its influencing factors in Chinese patients with type 2 diabetes initiating premixed insulin: A prospective real-world study
    Si Chen, Jingyi Lu, Danfeng Peng, Fengjing Liu, Wei Lu, Wei Zhu, Yuqian Bao, Jian Zhou, Weiping Jia
    Diabetes Research and Clinical Practice.2024; 218: 111895.     CrossRef
  • Ag@Au core–shell nanoparticles modified glassy carbon electrode synthesized by simple displacement reaction for non-enzymatic electrochemical glucose sensing
    Huiling Huang, Tianyu Chen, Xinyu Qin, Bo Quan, Sun Ha Paek, Wang Zhang, Yuanzhe Piao
    Journal of Electroanalytical Chemistry.2024; 975: 118726.     CrossRef
  • Integrated Lab-on-a-Chip Optical Glucose Sensing System Using a Silicon Waveguide Bragg Grating Device
    Hongqiang Li, Fanglin Xie, Ming Han, Lizhen Zhang, Lu Cao, Zhiyue Zhu, Enbang Li
    IEEE Sensors Journal.2024; 24(20): 32034.     CrossRef
  • Noninvasive Blood Glucose Monitoring Using Spatiotemporal ECG and PPG Feature Fusion and Weight-Based Choquet Integral Multimodel Approach
    Jingzhen Li, Jingjing Ma, Olatunji Mumini Omisore, Yuhang Liu, Huajie Tang, Pengfei Ao, Yan Yan, Lei Wang, Zedong Nie
    IEEE Transactions on Neural Networks and Learning Systems.2024; 35(10): 14491.     CrossRef
  • Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study
    Gaëlle Sabben, Courtney Telfort, Marissa Morales, Wenjia Stella Zhang, Juan C Espinoza, Francisco J Pasquel, Kate Winskell
    JMIR Diabetes.2024; 9: e54223.     CrossRef
  • Riemannian manifold-based geometric clustering of continuous glucose monitoring to improve personalized diabetes management
    Jiafeng Song, Jocelyn McNeany, Yifei Wang, Tanicia Daley, Arlene Stecenko, Rishikesan Kamaleswaran
    Computers in Biology and Medicine.2024; 183: 109255.     CrossRef
  • Implantable Fluorogenic DNA Biosensor for Stress Detection
    Irina Drachuk, Namrata Ramani, Svetlana Harbaugh, Chad A. Mirkin, Jorge L. Chávez
    ACS Applied Materials & Interfaces.2024;[Epub]     CrossRef
  • Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram
    Ho-Jung Song, Ju-Hyuck Han, Sung-Pil Cho, Sung-Il Im, Yong-Suk Kim, Jong-Uk Park
    Diagnostics.2024; 14(22): 2489.     CrossRef
  • Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay
    Lydia Colvin, Diana Al Husseini, Dandan Tu, Darin Dunlap, Tyler Lalonde, Muhammed Üçüncü, Alicia Megia-Fernandez, Mark Bradley, Wenshe Liu, Melissa A. Grunlan, Gerard L. Coté
    ACS Sensors.2024; 9(11): 6218.     CrossRef
  • 당뇨병 치료의 진화: 관해를 향해가는 혁신적 약물치료와 첨단 관리기기의 결합
    종한 최, 민경 문
    Public Health Weekly Report.2024; 17(44): 1905.     CrossRef
  • Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes
    Xueen Liu, Jiale Zhang
    Journal of Multidisciplinary Healthcare.2024; Volume 17: 5513.     CrossRef
  • Continuous Glucose Monitoring Among Patients with Type 1 Diabetes in Rwanda (CAPT1D) Phase I: Feasibility Study (Preprint)
    Jason Baker, Giacomo Cappon, Jean Claude Habineza, Corey H Basch, Steve Mey, Diana L. Malkin-Washeim, Christian Schuetz, Simon P. Niyonsenga, Etienne Uwingabire, Alvera Mukamazimpaka, Paul Mbonyi, Sandhya Narayanan
    JMIR Formative Research.2024;[Epub]     CrossRef
  • Development of a Novel Insulin Sensor for Clinical Decision-Making
    Eva Vargas, Eleonora M. Aiello, Jordan E. Pinsker, Hazhir Teymourian, Farshad Tehrani, Mei Mei Church, Lori M. Laffel, Francis J. Doyle, Mary-Elizabeth Patti, Eyal Dassau, Joseph Wang
    Journal of Diabetes Science and Technology.2023; 17(4): 1029.     CrossRef
  • Diabetes technology and sexual health: which role?
    V. Zamponi, J. Haxhi, G. Pugliese, A. Faggiano, R. Mazzilli
    Journal of Endocrinological Investigation.2023; 47(6): 1315.     CrossRef
  • Discordance Between Glycated Hemoglobin A1c and the Glucose Management Indicator in People With Diabetes and Chronic Kidney Disease
    Philippe Oriot, Claire Viry, Antoine Vandelaer, Sébastien Grigioni, Malanie Roy, Jean Christophe Philips, Gaëtan Prévost
    Journal of Diabetes Science and Technology.2023; 17(6): 1553.     CrossRef
  • Expertenaustausch zum Einsatz von kontinuierlichem Glukosemonitoring (CGM) im Diabetesmanagement: Eine aktuelle Bestandsaufnahme und Blick in die Zukunft
    Andreas Thomas, Thomas Haak, Astrid Tombek, Bernhard Kulzer, Dominic Ehrmann, Olga Kordonouri, Jens Kroeger, Oliver Schubert-Olesen, Ralf Kolassa, Thorsten Siegmund, Nicola Haller, Lutz Heinemann
    Diabetologie und Stoffwechsel.2023; 18(01): 57.     CrossRef
  • Evaluation of the performance and usability of a novel continuous glucose monitoring system
    Li Yan, Qiang Li, Qingbo Guan, Mingsong Han, Yu Zhao, Junfei Fang, Jiajun Zhao
    International Journal of Diabetes in Developing Countries.2023; 43(4): 551.     CrossRef
  • Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
    Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
    Diabetes, Obesity and Metabolism.2023; 25(1): 110.     CrossRef
  • Intermittent-scanned continuous glucose monitoring with low glucose alarms decreases hypoglycemia incidence in middle-aged adults with type 1 diabetes in real-life setting
    Philippe Oriot, Michel P. Hermans
    Journal of Diabetes and its Complications.2023; 37(2): 108385.     CrossRef
  • Applications of Microwaves in Medicine
    J.-C. Chiao, Changzhi Li, Jenshan Lin, Robert H. Caverly, James C. M. Hwang, Harel Rosen, Arye Rosen
    IEEE Journal of Microwaves.2023; 3(1): 134.     CrossRef
  • A Double-Needle Gold-Silver Electrodes Continuous Glucose Monitoring Device
    C. Ben Ali Hassine, A. Tekin
    IRBM.2023; 44(3): 100752.     CrossRef
  • Accuracy of Flash Glucose Monitoring in Hemodialysis Patients With and Without Diabetes Mellitus
    Michèle R. Weber, Matthias Diebold, Peter Wiesli, Andreas D. Kistler
    Experimental and Clinical Endocrinology & Diabetes.2023; 131(03): 132.     CrossRef
  • Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective
    Yuanyuan Zou, Zhengkang Chu, Jiuchuan Guo, Shan Liu, Xing Ma, Jinhong Guo
    Biosensors and Bioelectronics.2023; 225: 115103.     CrossRef
  • Continuous Glucose Monitoring in Enterally Fed Children with Severe Central Nervous System Impairment
    Marlena Górska, Joanna Kudzin, Anna Borkowska, Agnieszka Szlagatys-Sidorkiewicz, Agnieszka Szadkowska, Małgorzata Myśliwiec, Ewa Toporowska-Kowalska
    Nutrients.2023; 15(3): 513.     CrossRef
  • Prevalence of type 2 diabetes complications and its association with diet knowledge and skills and self‐care barriers in Tabriz, Iran: A cross‐sectional study
    Habib Jalilian, Elnaz Javanshir, Leila Torkzadeh, Saeedeh Fehresti, Nazanin Mir, Majid Heidari‐Jamebozorgi, Somayeh Heydari
    Health Science Reports.2023;[Epub]     CrossRef
  • Status of continuous glucose monitoring use and management in tertiary hospitals of China: a cross-sectional study
    Liping Chen, Xiaoqin Liu, Qin Lin, Hongmei Dai, Yong Zhao, Zumin Shi, Liping Wu
    BMJ Open.2023; 13(2): e066801.     CrossRef
  • Diboronic-Acid-Based Electrochemical Sensor for Enzyme-Free Selective and Sensitive Glucose Detection
    Joong-Hyun Kim, Hongsik Choi, Chul-Soon Park, Heung-Seop Yim, Dongguk Kim, Sungmin Lee, Yeonkeong Lee
    Biosensors.2023; 13(2): 248.     CrossRef
  • Artificial intelligence biosensors for continuous glucose monitoring
    Xiaofeng Jin, Andrew Cai, Tailin Xu, Xueji Zhang
    Interdisciplinary Materials.2023; 2(2): 290.     CrossRef
  • Continuous Glucose Monitoring in Dogs and Cats
    Francesca Del Baldo, Federico Fracassi
    Veterinary Clinics of North America: Small Animal Practice.2023; 53(3): 591.     CrossRef
  • Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy
    Anders Pors, Kaspar G. Rasmussen, Rune Inglev, Nina Jendrike, Amalie Philipps, Ajenthen G. Ranjan, Vibe Vestergaard, Jan E. Henriksen, Kirsten Nørgaard, Guido Freckmann, Karl D. Hepp, Michael C. Gerstenberg, Anders Weber
    ACS Sensors.2023; 8(3): 1272.     CrossRef
  • Diabetes mellitus in der Akut- und Notfallmedizin
    Leo Benning, Julian Krehl, Felix Patricius Hans
    Notfallmedizin up2date.2023; 18(01): 45.     CrossRef
  • Empowering People with Diabetes: Role of Continuous Glucose Monitor Systems
    Sneha B Srivastava
    American Journal of Lifestyle Medicine.2023; 17(3): 359.     CrossRef
  • Diabétologie connectée : quelles sont les attentes des médecins et des patients ?
    Nicolas Naïditch, Jean-Pierre Riveline
    Médecine des Maladies Métaboliques.2023; 17(2): 2S3.     CrossRef
  • Association of Vibrotactile Biofeedback With Reduced Ergonomic Risk for Surgeons During Tonsillectomy
    Natalie A. Kelly, Abdulrahman Althubaiti, Aashika D. Katapadi, Adam G. Smith, Sarah C. Nyirjesy, Jane H. Yu, Amanda J. Onwuka, Tendy Chiang
    JAMA Otolaryngology–Head & Neck Surgery.2023; 149(5): 397.     CrossRef
  • The Evolution of Diabetes Technology – Options Toward Personalized Care
    Maleeha Zahid, Samaneh Dowlatshahi, Abhishek H. Kansara, Archana R. Sadhu
    Endocrine Practice.2023; 29(8): 653.     CrossRef
  • A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management
    Giulia Noaro, Taiyu Zhu, Giacomo Cappon, Andrea Facchinetti, Pantelis Georgiou
    IEEE Journal of Biomedical and Health Informatics.2023; 27(5): 2536.     CrossRef
  • Celebrating a Century of Insulin Discovery: A Critical Appraisal of the Emerging Alternative Insulin Delivery Systems
    Ntethelelo Sibiya, Bonisiwe Mbatha, Phikelelani Ngubane, Andile Khathi
    Current Drug Delivery.2023; 20(6): 656.     CrossRef
  • Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study
    Nicholas Berin Chan, Weizi Li, Theingi Aung, Eghosa Bazuaye, Rosa M Montero
    JMIR AI.2023; 2: e45450.     CrossRef
  • Drug Delivery Systems for Personal Healthcare by Smart Wearable Patch System
    Bikram Khadka, Byeongmoon Lee, Ki-Taek Kim
    Biomolecules.2023; 13(6): 929.     CrossRef
  • Wearable Electrochemical Glucose Sensors in Diabetes Management: A Comprehensive Review
    Tamoghna Saha, Rafael Del Caño, Kuldeep Mahato, Ernesto De la Paz, Chuanrui Chen, Shichao Ding, Lu Yin, Joseph Wang
    Chemical Reviews.2023; 123(12): 7854.     CrossRef
  • Real-life 24-week changes in glycemic parameters among European users of flash glucose monitoring with type 1 and 2 diabetes and different levels of glycemic control
    Annel Lameijer, Julia J. Bakker, Kalvin Kao, Yongjin Xu, Rijk O.B. Gans, Henk J.G. Bilo, Timothy C. Dunn, Peter R. van Dijk
    Diabetes Research and Clinical Practice.2023; 201: 110735.     CrossRef
  • Les médicaments anti-diabétiques : ce que le médecin anesthésiste réanimateur doit savoir
    Michael Joubert
    Anesthésie & Réanimation.2023; 9(3): 251.     CrossRef
  • Glycemia control using remote technologies
    L. A. Suplotova, O. O. Alieva
    Meditsinskiy sovet = Medical Council.2023; 17(9): 81.     CrossRef
  • Data-enabled learning and control algorithms for intelligent glucose management: The state of the art
    Deheng Cai, Wenjing Wu, Marzia Cescon, Wei Liu, Linong Ji, Dawei Shi
    Annual Reviews in Control.2023; 56: 100897.     CrossRef
  • A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials
    Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
    Computer Methods and Programs in Biomedicine.2023; 240: 107700.     CrossRef
  • Volumetric Electron Transfer from Metabolites to Chemically Doped Polymer Electrodes
    Siew Ting Melissa Tan, Gijun Lee, Kalee Rozylowicz, Adam Marks, Alberto Salleo
    Advanced Functional Materials.2023;[Epub]     CrossRef
  • Diabetes and hypertension MobileHealth systems: a review of general challenges and advancements
    Bliss Utibe-Abasi Stephen, Benedicta C. Uzoewulu, Phillip Michael Asuquo, Simeon Ozuomba
    Journal of Engineering and Applied Science.2023;[Epub]     CrossRef
  • THE ASSESSMENT OF COMPENSATION OF CARBOHYDRATE METABOLISM IN PATIENTS WITH TYPE 2 DIABETES MELLITUS WITH METABOLIC SYNDROME BEYOND THE LIMITS OF GLYCATED HEMOGLOBIN
    Taras V. Romaniv, Nadiya V. Skrypnyk, Ulyana V. Synko, Nataliia M. Voronych-Semchenko, Oleh V. Melnyk, Anna O. Hryb, Igor B. Boruchok
    Wiadomości Lekarskie.2023; 76(6): 1385.     CrossRef
  • Pros and cons of continous glucose monitoring
    Marcin Ciechański, Edyta Witkowska, Agnieszka Ostańska, Adrianna Szafran, Klaudia Wiśniewska, Laura Piasek, Grzegorz Godek, Kacper Więcław, Katarzyna Stańko, Wiktor Terelak
    Journal of Medical Science.2023;[Epub]     CrossRef
  • Continuous Glucose Monitoring by Insulin-Treated Pilots Flying Commercial Aircraft Within the ARA.MED.330 Diabetes Protocol: A Preliminary Feasibility Study
    Gillian L. Garden, Fariba Shojaee-Moradie, Ewan J. Hutchison, Brian M. Frier, Kenneth M. Shaw, Simon R. Heller, Gerd Koehler, Julia K. Mader, Declan Maher, Graham A. Roberts, David L. Russell-Jones
    Diabetes Technology & Therapeutics.2023; 25(8): 543.     CrossRef
  • Importance of continuous glucose monitoring in the treatment of diabetes mellitus
    Sun Joon Moon, Won-Young Lee
    Journal of the Korean Medical Association.2023; 66(7): 432.     CrossRef
  • DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions
    Temiloluwa Prioleau, Abigail Bartolome, Richard Comi, Catherine Stanger
    Scientific Data.2023;[Epub]     CrossRef
  • Testing the Real-World Accuracy of the Dexcom G6 Pro CGM During the Insulin-Only Bionic Pancreas Pivotal Trial
    Martin Chase Marak, Peter Calhoun, Edward R. Damiano, Steven J. Russell, Katrina J. Ruedy, Roy W. Beck
    Diabetes Technology & Therapeutics.2023; 25(11): 817.     CrossRef
  • Use of continuous glucose monitoring in pediatric gastroenterology allows for personalized nutrition support care – Potential for collaboration between pediatric endocrinologists and gastroenterologists
    Kathryn Hitchcock, Stephanie Oliveira
    Journal of Pediatric Endocrinology and Diabetes.2023; 3: 34.     CrossRef
  • Anti-biofouling strategies for implantable biosensors of continuous glucose monitoring systems
    Yan Zheng, Dunyun Shi, Zheng Wang
    Frontiers of Chemical Science and Engineering.2023; 17(12): 1866.     CrossRef
  • A novel strategy for therapeutic drug monitoring: application of biosensors to quantify antimicrobials in biological matrices
    Quanfang Wang, Sihan Li, Jiaojiao Chen, Luting Yang, Yulan Qiu, Qian Du, Chuhui Wang, Mengmeng Teng, Taotao Wang, Yalin Dong
    Journal of Antimicrobial Chemotherapy.2023; 78(11): 2612.     CrossRef
  • Hypoglycemic Effect of an Herbal Decoction (Modified Gangsimtang) in a Patient with Severe Type 2 Diabetes Mellitus Refusing Oral Anti-Diabetic Medication: A Case Report
    Sungjun Joo, Hyonjun Chun, Jisu Lee, Seungmin Seo, Jungmin Lee, Jungtae Leem
    Medicina.2023; 59(11): 1919.     CrossRef
  • GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks
    Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
    IEEE Journal of Biomedical and Health Informatics.2023; 27(10): 5122.     CrossRef
  • Millifluidic valves and pumps made of tape and plastic
    Josue U. Amador-Hernandez, Pablo E. Guevara-Pantoja, Diana F. Cedillo-Alcantar, Gabriel A. Caballero-Robledo, Jose L. Garcia-Cordero
    Lab on a Chip.2023; 23(20): 4579.     CrossRef
  • Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes
    Taiyu Zhu, Kezhi Li, Pantelis Georgiou
    IEEE Journal of Biomedical and Health Informatics.2023; 27(10): 5087.     CrossRef
  • Flash Glucose Monitoring in Croatia: The Optimal Number of Scans per Day to Achieve Good Glycemic Control in Type 1 Diabetes
    Silvija Canecki-Varzic, Ivana Prpic-Krizevac, Maja Cigrovski Berkovic, Dario Rahelic, Ema Schonberger, Marina Gradiser, Ines Bilic-Curcic
    Medicina.2023; 59(11): 1893.     CrossRef
  • The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
    Francesco Prendin, Jacopo Pavan, Giacomo Cappon, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti
    Scientific Reports.2023;[Epub]     CrossRef
  • SHMAD: A Smart Health Care System to Monitor Alzheimer’s Disease Patients
    Shabana R. Ziyad, May Altulyan, Meshal Alharbi
    Journal of Alzheimer's Disease.2023; 95(4): 1545.     CrossRef
  • Séquelles fonctionnelles après résection pancréatique carcinologique. Un sujet d’actualité pour les patients et les praticiens
    Andrea Mulliri, Michael Joubert, Marie-Astrid Piquet, Arnaud Alves, Benoît Dupont
    Journal de Chirurgie Viscérale.2023; 160(6): 470.     CrossRef
  • Functional sequelae after pancreatic resection for cancer
    Andrea Mulliri, Michael Joubert, Marie-Astrid Piquet, Arnaud Alves, Benoît Dupont
    Journal of Visceral Surgery.2023; 160(6): 427.     CrossRef
  • Characteristics of glucose change in diabetes mellitus generalized through continuous wavelet transform processing: A preliminary study
    Yoichi Nakamura, Shinya Furukawa
    World Journal of Diabetes.2023; 14(10): 1562.     CrossRef
  • Evaluating passive physiological data collection during Spravato treatment
    Todd M. Solomon, Matus Hajduk, Martin Majernik, Jamileh Jemison, Alexander Deschamps, Jenna Scoggins, Adam Kolar, Miguel Amável Pinheiro, Peter Dubec, Ondrej Skala, Owen Muir, Amanda Tinkelman, Daniel R. Karlin, Robert Barrow
    Frontiers in Digital Health.2023;[Epub]     CrossRef
  • Fabrication of conductive Ag/AgCl/Ag nanorods ink on Laser-induced graphene electrodes on flexible substrates for non-enzymatic glucose detection
    Rana Bagheri, Saeid Alikhani, Ebrahim Miri-Moghaddam
    Scientific Reports.2023;[Epub]     CrossRef
  • Co-design of Human-centered, Explainable AI for Clinical Decision Support
    Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, Salvatore Rinzivillo
    ACM Transactions on Interactive Intelligent Systems.2023; 13(4): 1.     CrossRef
  • Analysis of blood glucose monitoring – a review on recent advancements and future prospects
    Gayathri Priyadarshini R, Sathiya Narayanan
    Multimedia Tools and Applications.2023; 83(20): 58375.     CrossRef
  • Overview of modern sensors for continuous glucose monitoring
    K. T. Momynaliev, M. V. Prokopiev, I. V. Ivanov
    Diabetes mellitus.2023; 26(6): 575.     CrossRef
  • A Prospective Multicenter Clinical Performance Evaluation of the C-CGM System
    Mihailo Rebec, Kevin Cai, Ralph Dutt-Ballerstadt, Ellen Anderson
    Journal of Diabetes Science and Technology.2022; 16(2): 390.     CrossRef
  • Perceived Burdens and Benefits Associated With Continuous Glucose Monitor Use in Type 1 Diabetes Across the Lifespan
    Vidita Divan, Margaret Greenfield, Christopher P. Morley, Ruth S. Weinstock
    Journal of Diabetes Science and Technology.2022; 16(1): 88.     CrossRef
  • Technologies for Diabetes Self-Monitoring: A Scoping Review and Assessment Using the REASSURED Criteria
    Jessica Hanae Zafra-Tanaka, David Beran, Beatrice Vetter, Rangarajan Sampath, Antonio Bernabe-Ortiz
    Journal of Diabetes Science and Technology.2022; 16(4): 962.     CrossRef
  • Temporal Trends for Diabetes Management and Glycemic Control Between 2010 and 2019 in Korean Children and Adolescents with Type 1 Diabetes
    Jaewon Choe, Seung Hyun Won, Yunsoo Choe, Sang Hee Park, Yun Jeong Lee, Jieun Lee, Young Ah Lee, Han Hyuk Lim, Jae-Ho Yoo, Seong Yong Lee, Eun Young Kim, Choong Ho Shin, Jae Hyun Kim
    Diabetes Technology & Therapeutics.2022; 24(3): 201.     CrossRef
  • International comparison of glycaemic control in people with type 1 diabetes: an update and extension
    Regina Prigge, John A. McKnight, Sarah H. Wild, Aveni Haynes, Timothy W. Jones, Elizabeth A. Davis, Birgit Rami‐Merhar, Maria Fritsch, Christine Prchla, Astrid Lavens, Kris Doggen, Suchsia Chao, Ronnie Aronson, Ruth Brown, Else H. Ibfelt, Jannet Svensson,
    Diabetic Medicine.2022;[Epub]     CrossRef
  • Artificial intelligence perspective in the future of endocrine diseases
    Mandana Hasanzad, Hamid Reza Aghaei Meybodi, Negar Sarhangi, Bagher Larijani
    Journal of Diabetes & Metabolic Disorders.2022; 21(1): 971.     CrossRef
  • Telehealth Technologies and Their Benefits to People With Diabetes
    Chinenye O. Usoh, Kristine Kilen, Carolyn Keyes, Crystal Paige Johnson, Joseph A. Aloi
    Diabetes Spectrum.2022; 35(1): 8.     CrossRef
  • Acetylated Trifluoromethyl Diboronic Acid Anthracene with a Large Stokes Shift and Long Excitation Wavelength as a Glucose-Selective Probe
    Hongsik Choi, Inhyeok Song, Chul Soon Park, Heung-seop Yim, Joong Hyun Kim
    Applied Sciences.2022; 12(6): 2782.     CrossRef
  • Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study
    Patrik Schretzlmaier, Achim Hecker, Elske Ammenwerth
    JMIR Human Factors.2022; 9(1): e34918.     CrossRef
  • Continuous Glucose Monitoring System Based on Percutaneous Microneedle Array
    Ming-Nan Chien, Yu-Jen Chen, Chin-Han Bai, Jung-Tung Huang
    Micromachines.2022; 13(3): 478.     CrossRef
  • Impact of COVID-19 Lockdown on the Metabolic Control Parameters in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis
    Ifan Ali Wafa, Nando Reza Pratama, Nurizzah Farahiyah Sofia, Elsha Stephanie Anastasia, Tiffany Konstantin, Maharani Ayuputeri Wijaya, M. Rifqi Wiyono, Lilik Djuari, Hermina Novida
    Diabetes & Metabolism Journal.2022; 46(2): 260.     CrossRef
  • Expert Roundtable on Continuous Glucose Monitoring
    Cheryl Rosenfeld, Thomas Blevins, Grazia Aleppo, Gregory Forlenza, Diana Isaacs, Javier Morales, Jane Seley, Jeffrey Unger
    Endocrine Practice.2022; 28(6): 622.     CrossRef
  • Glucose variability and predicted cardiovascular risk after gastrectomy
    Jun Shibamoto, Takeshi Kubota, Takuma Ohashi, Hirotaka Konishi, Atsushi Shiozaki, Hitoshi Fujiwara, Kazuma Okamoto, Eigo Otsuji
    Surgery Today.2022; 52(11): 1634.     CrossRef
  • Efficacy of once-weekly tirzepatide versus once-daily insulin degludec on glycaemic control measured by continuous glucose monitoring in adults with type 2 diabetes (SURPASS-3 CGM): a substudy of the randomised, open-label, parallel-group, phase 3 SURPASS
    Tadej Battelino, Richard M Bergenstal, Angel Rodríguez, Laura Fernández Landó, Ross Bray, Zhentao Tong, Katelyn Brown
    The Lancet Diabetes & Endocrinology.2022; 10(6): 407.     CrossRef
  • Towards the Integration of an Islet-Based Biosensor in Closed-Loop Therapies for Patients With Type 1 Diabetes
    Loïc Olçomendy, Louis Cassany, Antoine Pirog, Roberto Franco, Emilie Puginier, Manon Jaffredo, David Gucik-Derigny, Héctor Ríos, Alejandra Ferreira de Loza, Julien Gaitan, Matthieu Raoux, Yannick Bornat, Bogdan Catargi, Jochen Lang, David Henry, Sylvie Re
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effect of divergent continuous glucose monitoring technologies on glycaemic control in type 1 diabetes mellitus: A systematic review and meta‐analysis of randomised controlled trials
    Mona Elbalshy, Jillian Haszard, Hazel Smith, Sarahmarie Kuroko, Barbara Galland, Nick Oliver, Viral Shah, Martin I. de Bock, Benjamin J. Wheeler
    Diabetic Medicine.2022;[Epub]     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Selection of Noninvasive Features in Wrist-Based Wearable Sensors to Predict Blood Glucose Concentrations Using Machine Learning Algorithms
    Brian Bogue-Jimenez, Xiaolei Huang, Douglas Powell, Ana Doblas
    Sensors.2022; 22(9): 3534.     CrossRef
  • Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach
    N. Camerlingo, M. Vettoretti, S. Del Favero, A. Facchinetti, P. Choudhary, G. Sparacino
    Computer Methods and Programs in Biomedicine.2022; 221: 106862.     CrossRef
  • A Miniaturized Optofluidic Glucose Monitoring System Based on Enzyme Colorimetry
    Qingmei Xu, Chongwei Zou, Chengtao Sun, Xingguo Zhang, Haixia Yu, Dachao Li
    IEEE Sensors Journal.2022; 22(10): 9246.     CrossRef
  • Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study
    Jesús Fontecha, Iván González, Alfonso Barragán, Theodore Lim, Dario Pitocco
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Nanotechnology in Diabetes Mellitus: Overview for Nurses
    R Priya, Baba Vajrala
    Pondicherry Journal of Nursing.2022; 15(1): 22.     CrossRef
  • Effect of Different Glucose Monitoring Methods on Bold Glucose Control: A Systematic Review and Meta-Analysis
    Yeling Wang, Congcong Zou, Han Na, Weixin Zeng, Xiaoyan Li, Xi Lou
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review
    Aminah Hina, Wala Saadeh
    Sensors.2022; 22(13): 4855.     CrossRef
  • Performance of islets of Langerhans conformally coated via an emulsion cross-linking method in diabetic rodents and nonhuman primates
    Aaron A. Stock, Grisell C. Gonzalez, Sophia I. Pete, Teresa De Toni, Dora M. Berman, Alexander Rabassa, Waldo Diaz, James C. Geary, Melissa Willman, Joy M. Jackson, Noa H. DeHaseth, Noel M. Ziebarth, Anthony R. Hogan, Camillo Ricordi, Norma S. Kenyon, Ali
    Science Advances.2022;[Epub]     CrossRef
  • Review—Electrochemistry and Other Emerging Technologies for Continuous Glucose Monitoring Devices
    Saroj Kumar Das, Kavya K. Nayak, P. R. Krishnaswamy, Vinay Kumar, Navakanta Bhat
    ECS Sensors Plus.2022; 1(3): 031601.     CrossRef
  • Design Strategies and Prospects in Developing Wearable Glucose Monitoring System Using Printable Organic Transistor and Microneedle: A Review
    Fazliyatul Azwa Md Rezali, Norhayati Soin, Sharifah Fatmadiana Wan Muhamad Hatta, Mohamad Hazwan Mohd Daut, Muhammad Hafizuddin Al-Helmy Nouxman, Hanim Hussin
    IEEE Sensors Journal.2022; 22(14): 13785.     CrossRef
  • Review of Automated Insulin Delivery Systems for Type 1 Diabetes and Associated Time in Range Outcomes
    Armaan Nallicheri, Katherine M Mahoney, Hanna A Gutow, Natalie Bellini, Diana Isaacs
    Endocrinology.2022; 18(1): 27.     CrossRef
  • Evaluation of Mesoporous TiO2 Layers as Glucose Optical Sensors
    David Ortiz de Zárate, Sara Serna, Salvador Ponce-Alcántara, Jaime García-Rupérez
    Sensors.2022; 22(14): 5398.     CrossRef
  • A Prospective Study on Continuous Glucose Monitoring in Glycogen Storage Disease Type Ia: Toward Glycemic Targets
    Alessandro Rossi, Annieke Venema, Petra Haarsma, Lude Feldbrugge, Rob Burghard, David Rodriguez-Buritica, Giancarlo Parenti, Maaike H Oosterveer, Terry G J Derks
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): e3612.     CrossRef
  • Continuous glucose monitoring as a close to real life alternative to meal studies – a pilot study with a functional drink containing amino acids and chromium
    Azat Samigullin, Per M. Humpert, Elin Östman
    Frontiers in Medical Technology.2022;[Epub]     CrossRef
  • An overview of recent advances in insulin delivery and wearable technology for effective management of diabetes
    Sujeet Kumar Raj, M. Ravindra Babu, Sukriti Vishwas, M.V.N.L. Chaitanya, Vancha Harish, Gaurav Gupta, Dinesh Kumar Chellappan, Kamal Dua, Sachin Kumar Singh
    Journal of Drug Delivery Science and Technology.2022; 75: 103728.     CrossRef
  • Medical Certification of Pilots Through the Insulin-Treated Diabetes Mellitus Protocol at the FAA
    Lynn K. Stanwyck, James R. DeVoll, Joyce Pastore, Zykevise Gamble, Anna Poe, Gabrielle V. Gui
    Aerospace Medicine and Human Performance.2022; 93(8): 627.     CrossRef
  • Rate of glycaemic control and associated factors in patients with type 2 diabetes mellitus treated with insulin-based therapy at selected hospitals in Northwest Ethiopia: a multicentre cross-sectional study
    Ashenafi Kibret Sendekie, Eyayaw Ashete Belachew, Ephrem Mebratu Dagnew, Adeladlew Kassie Netere
    BMJ Open.2022; 12(9): e065250.     CrossRef
  • Glucose Profiles Assessed by Intermittently Scanned Continuous Glucose Monitoring System during the Perioperative Period of Metabolic Surgery
    Kyuho Kim, Sung Hee Choi, Hak Chul Jang, Young Suk Park, Tae Jung Oh
    Diabetes & Metabolism Journal.2022; 46(5): 713.     CrossRef
  • Hypoglycemic events and glycemic control effects between NPH and premixed insulin in patients with type 2 diabetes mellitus: A real-world experience at a comprehensive specialized hospital in Ethiopia
    Ashenafi Kibret Sendekie, Adeladlew Kassie Netere, Eyayaw Ashete Belachew, Rekha Samuel
    PLOS ONE.2022; 17(9): e0275032.     CrossRef
  • Continuous Glucose Monitoring for the Diagnosis of Gestational Diabetes Mellitus: A Pilot Study
    Daria Di Filippo, Marrwah Ahmadzai, Melissa Han Yiin Chang, Ksana Horgan, Ru Min Ong, Justine Darling, Mahmood Akhtar, Amanda Henry, Alec Welsh, Daniela Foti
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Caring for people with diabetes
    Martha M. Funnell, Katherine A. Kloss, Robin B. Nwankwo
    Nursing.2022; 52(11): 26.     CrossRef
  • Tackling the challenges of developing microneedle-based electrochemical sensors
    Hilmee Abdullah, Tonghathai Phairatana, Itthipon Jeerapan
    Microchimica Acta.2022;[Epub]     CrossRef
  • A Concise and Systematic Review on Non-Invasive Glucose Monitoring for Potential Diabetes Management
    Soumyasanta Laha, Aditi Rajput, Suvra S. Laha, Rohan Jadhav
    Biosensors.2022; 12(11): 965.     CrossRef
  • Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions
    Francesco Prendin, José-Luis Díez, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti, Jorge Bondia
    Sensors.2022; 22(22): 8682.     CrossRef
  • Wearable Sensor-Based Monitoring of Environmental Exposures and the Associated Health Effects: A Review
    Xueer Lin, Jiaying Luo, Minyan Liao, Yalan Su, Mo Lv, Qing Li, Shenglan Xiao, Jianbang Xiang
    Biosensors.2022; 12(12): 1131.     CrossRef
  • Acceptability and feasibility of continuous glucose monitoring in people with diabetes: protocol for a mixed-methods systematic review of quantitative and qualitative evidence
    Jennifer V. E. Brown, Ramzi Ajjan, Najma Siddiqi, Peter A. Coventry
    Systematic Reviews.2022;[Epub]     CrossRef
  • Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring
    I-Min Chiu, Chi-Yung Cheng, Po-Kai Chang, Chao-Jui Li, Fu-Jen Cheng, Chun-Hung Richard Lin
    Biosensors.2022; 13(1): 23.     CrossRef
  • Effect of Hydroxychloroquine on Glycemic Variability in Type 2 Diabetes Patients Uncontrolled on Glimepiride and Metformin Therapy
    Rajesh Rajput, Suyasha Saini, Siddhant Rajput, Parankush Upadhyay
    Indian Journal of Endocrinology and Metabolism.2022; 26(6): 537.     CrossRef
  • GESTATIONAL DIABETES MELLITUS: MODERN GLYCEMIA MONITORING SYSTEMS
    YU.A. DUDAREVA, V.A. GURYEVA, G.V. NEMTSEVA
    AVICENNA BULLETIN.2022; 24(1): 97.     CrossRef
  • Extraction With Sweat-Sebum Emulsion as a New Test Method for Leachables in Patch-Based Medical Devices, Illustrated by Assessment of Isobornylacrylate (IBOA) in Diabetes Products
    Herbert Fink, Nuno M. de Barros Fernandes, Jörg Weissmann, Manfred Frey
    Journal of Diabetes Science and Technology.2021; 15(4): 792.     CrossRef
  • Mathematical Models of Meal Amount and Timing Variability With Implementation in the Type-1 Diabetes Patient Decision Simulator
    Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
    Journal of Diabetes Science and Technology.2021; 15(2): 346.     CrossRef
  • Fit‐for‐Purpose Biometric Monitoring Technologies: Leveraging the Laboratory Biomarker Experience
    Alan Godfrey, Benjamin Vandendriessche, Jessie P. Bakker, Cheryl Fitzer‐Attas, Ninad Gujar, Matthew Hobbs, Qi Liu, Carrie A. Northcott, Virginia Parks, William A. Wood, Vadim Zipunnikov, John A. Wagner, Elena S. Izmailova
    Clinical and Translational Science.2021; 14(1): 62.     CrossRef
  • Self-charging wearables for continuous health monitoring
    Jiyong Kim, Salman Khan, Peng Wu, Sungjin Park, Hwanjoo Park, Choongho Yu, Woochul Kim
    Nano Energy.2021; 79: 105419.     CrossRef
  • Impact of Switching from Intermittently Scanned to Real-Time Continuous Glucose Monitoring Systems in a Type 1 Diabetes Patient French Cohort: An Observational Study of Clinical Practices
    Yannis Préau, Martine Armand, Sébastien Galie, Pauline Schaepelynck, Denis Raccah
    Diabetes Technology & Therapeutics.2021; 23(4): 259.     CrossRef
  • Individualizing Time-in-Range Goals in Management of Diabetes Mellitus and Role of Insulin: Clinical Insights From a Multinational Panel
    Sanjay Kalra, Shehla Shaikh, Gagan Priya, Manas P. Baruah, Abhyudaya Verma, Ashok K. Das, Mona Shah, Sambit Das, Deepak Khandelwal, Debmalya Sanyal, Sujoy Ghosh, Banshi Saboo, Ganapathi Bantwal, Usha Ayyagari, Daphne Gardner, Cecilia Jimeno, Nancy E. Barb
    Diabetes Therapy.2021; 12(2): 465.     CrossRef
  • Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy
    Giulia Noaro, Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
    IEEE Transactions on Biomedical Engineering.2021; 68(1): 247.     CrossRef
  • Efficacy of telemedicine for persons with type 1 diabetes during Covid19 lockdown
    Federico Boscari, Sara Ferretto, Ambra Uliana, Angelo Avogaro, Daniela Bruttomesso
    Nutrition & Diabetes.2021;[Epub]     CrossRef
  • Technological innovation of Continuous Glucose Monitoring (CGM) as a tool for commercial aviation pilots with insulin-treated diabetes and stakeholders/regulators: A new chance to improve the directives?
    F. Strollo, A. Furia, P. Verde, A. Bellia, M. Grussu, A. Mambro, M.D. Petrelli, S. Gentile
    Diabetes Research and Clinical Practice.2021; 172: 108638.     CrossRef
  • Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges
    Omer Mujahid, Ivan Contreras, Josep Vehi
    Sensors.2021; 21(2): 546.     CrossRef
  • Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study
    Marina Valenzano, Ivan Cibrario Bertolotti, Adriano Valenzano, Giorgio Grassi
    BMJ Open Diabetes Research & Care.2021; 9(1): e001045.     CrossRef
  • Machine learning for the diagnosis of early-stage diabetes using temporal glucose profiles
    Woo Seok Lee, Junghyo Jo, Taegeun Song
    Journal of the Korean Physical Society.2021; 78(5): 373.     CrossRef
  • Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only
    Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
    Sensors.2021; 21(5): 1647.     CrossRef
  • A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life
    Daniela Bruttomesso, Federico Boscari, Giuseppe Lepore, Giulia Noaro, Giacomo Cappon, Angela Girelli, Lutgarda Bozzetto, Andrea Tumminia, Giorgio Grassi, Giovanni Sparacino, Luigi Laviola, Andrea Facchinetti
    Diabetes Therapy.2021; 12(5): 1313.     CrossRef
  • Glycemic variability and cardiovascular disease in patients with type 2 diabetes
    Marcela Martinez, Jimena Santamarina, Adrian Pavesi, Carla Musso, Guillermo E Umpierrez
    BMJ Open Diabetes Research & Care.2021; 9(1): e002032.     CrossRef
  • Hypoglycaemia detection and prediction techniques: A systematic review on the latest developments
    Omar Diouri, Monika Cigler, Martina Vettoretti, Julia K. Mader, Pratik Choudhary, Eric Renard
    Diabetes/Metabolism Research and Reviews.2021;[Epub]     CrossRef
  • Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes
    Özlem Kap, Volkan Kılıç, John G. Hardy, Nesrin Horzum
    The Analyst.2021; 146(9): 2784.     CrossRef
  • The impact of hypoglycaemia on the quality of life of family members of adults with type 1 or type 2 diabetes: A qualitative systematic review
    Mette Valdersdorf Jensen, Melanie Broadley, Jane Speight, Alison Scope, Louise Preston, Simon Heller, Bastiaan E. de Galan, Frans Pouwer, Christel Hendrieckx
    Diabetic Medicine.2021;[Epub]     CrossRef
  • A review of biosensor technology and algorithms for glucose monitoring
    Yaguang Zhang, Jingxue Sun, Liansheng Liu, Hong Qiao
    Journal of Diabetes and its Complications.2021; 35(8): 107929.     CrossRef
  • Optical glucose biosensor built-in disposable strips and wearable electronic devices
    Abdullah Reda, Sherif A. El-Safty, Mahmoud M. Selim, Mohamed A. Shenashen
    Biosensors and Bioelectronics.2021; 185: 113237.     CrossRef
  • Advances, Challenges, and Cost Associated with Continuous Glucose Monitor Use in Adolescents and Young Adults with Type 1 Diabetes
    Karishma A. Datye, Daniel R. Tilden, Angelee M. Parmar, Eveline R. Goethals, Sarah S. Jaser
    Current Diabetes Reports.2021;[Epub]     CrossRef
  • Is HbA1c an ideal biomarker of well-controlled diabetes?
    Georgia Kaiafa, Stavroula Veneti, George Polychronopoulos, Dimitrios Pilalas, Stylianos Daios, Ilias Kanellos, Triantafyllos Didangelos, Stamatina Pagoni, Christos Savopoulos
    Postgraduate Medical Journal.2021; 97(1148): 380.     CrossRef
  • Technology in the management of type 2 diabetes: Present status and future prospects
    Aideen Daly, Roman Hovorka
    Diabetes, Obesity and Metabolism.2021; 23(8): 1722.     CrossRef
  • A Non-Invasive Flexible Glucose Monitoring Sensor Using a Broadband Reject Filter
    Moussa Bteich, Jessica Hanna, Joseph Costantine, Rouwaida Kanj, Youssef Tawk, Ali H. Ramadan, Assaad A. Eid
    IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology.2021; 5(2): 139.     CrossRef
  • Wearable patch delivery system for artificial pancreas health diagnostic-therapeutic application: A review
    Nur Farrahain Nadia Ahmad, Nik Nazri Nik Ghazali, Yew Hoong Wong
    Biosensors and Bioelectronics.2021; 189: 113384.     CrossRef
  • Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies
    Mary Katherine Ray, Alana McMichael, Maria Rivera-Santana, Jacob Noel, Tamara Hershey
    JMIR Diabetes.2021; 6(2): e27027.     CrossRef
  • Designing biomaterials for the modulation of allogeneic and autoimmune responses to cellular implants in Type 1 Diabetes
    Magdalena M. Samojlik, Cherie L. Stabler
    Acta Biomaterialia.2021; 133: 87.     CrossRef
  • Evaluation of a continuous glucose monitoring system in neonatal foals
    David Wong, Caitlin Malik, Katarzyna Dembek, Krista Estell, Megan Marchitello, Katie Wilson
    Journal of Veterinary Internal Medicine.2021; 35(4): 1995.     CrossRef
  • Flash Glucose Monitoring in the Netherlands: Increased monitoring frequency is associated with improvement of glycemic parameters
    Annel Lameijer, Nicole Lommerde, Timothy C. Dunn, Marion J. Fokkert, Mireille A. Edens, Kalvin Kao, Yongjin Xu, R.O.B. Gans, Henk J.G. Bilo, Peter R. van Dijk
    Diabetes Research and Clinical Practice.2021; 177: 108897.     CrossRef
  • Utilisation, access and recommendations regarding technologies for people living with type 1 diabetes: consensus statement of the ADS/ADEA/APEG/ADIPS Working Group
    Anthony J Pease, Sofianos Andrikopoulos, Mary B Abraham, Maria E Craig, Brett Fenton, Jane Overland, Sarah Price, David Simmons, Glynis P Ross
    Medical Journal of Australia.2021; 215(10): 473.     CrossRef
  • Catalytic effects of magnetic and conductive nanoparticles on immobilized glucose oxidase in skin sensors
    Lilian C Alarcón-Segovia, Amay J Bandodkar, John A Rogers, Ignacio Rintoul
    Nanotechnology.2021; 32(37): 375101.     CrossRef
  • Optical Glucose Sensor Using Pressure Sensitive Paint
    Jongwon Park
    Sensors.2021; 21(13): 4474.     CrossRef
  • Type 1 diabetes glycemic management: Insulin therapy, glucose monitoring, and automation
    Bruce A. Perkins, Jennifer L. Sherr, Chantal Mathieu
    Science.2021; 373(6554): 522.     CrossRef
  • Clinical Utilities of Continuous Glucose Monitoring and Insulin Pumps in Pediatric Patients with Type 1 Diabetes
    Jieun Lee, Jae Hyun Kim
    The Ewha Medical Journal.2021; 44(3): 55.     CrossRef
  • Personalized Postprandial Glucose Response–Targeting Diet Versus Mediterranean Diet for Glycemic Control in Prediabetes
    Orly Ben-Yacov, Anastasia Godneva, Michal Rein, Smadar Shilo, Dmitry Kolobkov, Netta Koren, Noa Cohen Dolev, Tamara Travinsky Shmul, Bat Chen Wolf, Noa Kosower, Keren Sagiv, Maya Lotan-Pompan, Niv Zmora, Adina Weinberger, Eran Elinav, Eran Segal
    Diabetes Care.2021; 44(9): 1980.     CrossRef
  • Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions
    Jong Il Park, Hwa Young Lee, Hyunah Kim, Jisan Lee, Jiwon Shinn, Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Benefits of a Switch from Intermittently Scanned Continuous Glucose Monitoring (isCGM) to Real-Time (rt) CGM in Diabetes Type 1 Suboptimal Controlled Patients in Real-Life: A One-Year Prospective Study §
    Yannis Préau, Sébastien Galie, Pauline Schaepelynck, Martine Armand, Denis Raccah
    Sensors.2021; 21(18): 6131.     CrossRef
  • A Hybrid Automata Approach for Monitoring the Patient in the Loop in Artificial Pancreas Systems
    Aleix Beneyto, Vicenç Puig, B. Wayne Bequette, Josep Vehi
    Sensors.2021; 21(21): 7117.     CrossRef
  • Editors’ Choice—Review—From Polarography to Electrochemical Biosensors: The 100-Year Quest for Selectivity and Sensitivity
    William R. Heineman, Peter T. Kissinger, Kenneth R. Wehmeyer
    Journal of The Electrochemical Society.2021; 168(11): 116504.     CrossRef
  • Digital health and diabetes: experience from India
    Jothydev Kesavadev, Gopika Krishnan, Viswanathan Mohan
    Therapeutic Advances in Endocrinology and Metabolism.2021;[Epub]     CrossRef
  • Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence
    Sun Joon Moon, Inha Jung, Cheol-Young Park
    Diabetes & Metabolism Journal.2021; 45(6): 813.     CrossRef
  • Factors Associated with Adherence to Self-Monitoring of Blood Glucose Among Young People with Type 1 Diabetes in China: A Cross-Sectional Study
    Wencong Lv, Jiaxin Luo, Qing Long, Jundi Yang, Xin Wang, Jia Guo
    Patient Preference and Adherence.2021; Volume 15: 2809.     CrossRef
  • Continuous glucose monitoring devices: A brief presentation (Review)
    Doina Mihai, Diana Stefan, Daniela Stegaru, Georgiana Bernea, Ileana Vacaroiu, Toma Papacocea, Mircea Lupușoru, Adriana Nica, Ovidiu Stiru, Dorin Dragos, Octavian Olaru
    Experimental and Therapeutic Medicine.2021;[Epub]     CrossRef
  • Acute glycemic variability on admission predicts the prognosis in hospitalized patients with coronary artery disease: a meta-analysis
    Zhaokun Pu, Lihong Lai, Xishan Yang, Yanyu Wang, Pingshuan Dong, Dan Wang, Yingli Xie, Zesen Han
    Endocrine.2020; 67(3): 526.     CrossRef
  • Glycemic profile of women with normoglycemia and gestational diabetes mellitus during early pregnancy using continuous glucose monitoring system
    Charandeep Singh, Yashdeep Gupta, Alpesh Goyal, Mani Kalaivani, Vineeta Garg, Juhi Bharti, Seema Singhal, Garima Kachhawa, Vidushi Kulshrestha, Rajesh Kumari, Reeta Mahey, Jai B Sharma, Neerja Bhatla, Rajesh Khadgawat, Nandita Gupta, Nikhil Tandon
    Diabetes Research and Clinical Practice.2020; 169: 108409.     CrossRef
  • Efficacy of Intermittently Scanned Continuous Glucose Monitoring in the Prevention of Recurrent Severe Hypoglycemia
    Timothy M.E. Davis, Penny Dwyer, Michelle England, P. Gerry Fegan, Wendy A. Davis
    Diabetes Technology & Therapeutics.2020; 22(5): 367.     CrossRef
  • How was the Diabetes Metabolism Journal added to MEDLINE?
    Hye Jin Yoo
    Science Editing.2020; 7(2): 201.     CrossRef
  • Applying Nanomaterials to Modern Biomedical Electrochemical Detection of Metabolites, Electrolytes, and Pathogens
    Itthipon Jeerapan, Thitaporn Sonsa-ard, Duangjai Nacapricha
    Chemosensors.2020; 8(3): 71.     CrossRef
  • Clinical Opportunities for Continuous Biosensing and Closed-Loop Therapies
    Jason Li, Jia Y. Liang, Steven J. Laken, Robert Langer, Giovanni Traverso
    Trends in Chemistry.2020; 2(4): 319.     CrossRef
  • A single-blind, randomised, crossover study to reduce hypoglycaemia risk during postprandial exercise with closed-loop insulin delivery in adults with type 1 diabetes: announced (with or without bolus reduction) vs unannounced exercise strategies
    Sémah Tagougui, Nadine Taleb, Laurent Legault, Corinne Suppère, Virginie Messier, Inès Boukabous, Azadeh Shohoudi, Martin Ladouceur, Rémi Rabasa-Lhoret
    Diabetologia.2020; 63(11): 2282.     CrossRef
  • Bimetallic PtAu alloy nanomaterials for nonenzymatic selective glucose sensing at low potential
    Lingling Lin, Shaohuang Weng, Yanjie Zheng, Xiyao Liu, Shaoming Ying, Feng Chen, Donghong You
    Journal of Electroanalytical Chemistry.2020; 865: 114147.     CrossRef
  • Type 1 Diabetes in Youth and Technology-Based Advances in Management
    Christopher Ferber, Catherine S. Mao, Jennifer K. Yee
    Advances in Pediatrics.2020; 67: 73.     CrossRef
  • Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors
    Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
    Sensors.2020; 20(14): 3870.     CrossRef
  • Efficacy and safety of evogliptin treatment in patients with type 2 diabetes: A multicentre, active‐controlled, randomized, double‐blind study with open‐label extension (the EVERGREEN study)
    Gyuri Kim, Soo Lim, Hyuk‐Sang Kwon, Ie B. Park, Kyu J. Ahn, Cheol‐Young Park, Su K. Kwon, Hye S. Kim, Seok W. Park, Sin G. Kim, Min K. Moon, Eun S. Kim, Choon H. Chung, Kang S. Park, Mikyung Kim, Dong J. Chung, Chang B. Lee, Tae H. Kim, Moon‐Kyu Lee
    Diabetes, Obesity and Metabolism.2020; 22(9): 1527.     CrossRef
  • Association Between Continuous Glucose Monitoring-Derived Time in Range, Other Core Metrics, and Albuminuria in Type 2 Diabetes
    Jee Hee Yoo, Min Sun Choi, Jiyeon Ahn, Sung Woon Park, Yejin Kim, Kyu Yeon Hur, Sang-Man Jin, Gyuri Kim, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2020; 22(10): 768.     CrossRef
  • A New Approach to Determining Liquid Concentration Using Multiband Annular Ring Microwave Sensor and Polarity Correlator
    Waleed Sethi, Ahmed Ibrahim, Khaled Issa, Ali Albishi, Saleh Alshebeili
    Electronics.2020; 9(10): 1616.     CrossRef
  • Estrategia terapéutica en el paciente diabético (I). Empoderamiento del paciente y formación. Objetivos terapéuticos. Estilo de vida, alimentación, vacunación y consejos al paciente diabético
    F.B. Rivas Sánchez, J. Sanz Cánovas, J. Martín Carmona, S. Jansen Chaparro
    Medicine - Programa de Formación Médica Continuada Acreditado.2020; 13(17): 943.     CrossRef
  • Current status of continuous glucose monitoring among Korean children and adolescents with type 1 diabetes mellitus
    Jae Hyun Kim
    Annals of Pediatric Endocrinology & Metabolism.2020; 25(3): 145.     CrossRef
  • Towards sensor-based calving detection in the rangelands: a systematic review of credible behavioral and physiological indicators
    Anita Z Chang, David L Swain, Mark G Trotter
    Translational Animal Science.2020;[Epub]     CrossRef
  • Electrochemical glucose sensors in diabetes management: an updated review (2010–2020)
    Hazhir Teymourian, Abbas Barfidokht, Joseph Wang
    Chemical Society Reviews.2020; 49(21): 7671.     CrossRef
  • An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia
    Nunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Julia K. Mader, Pratik Choudhary, Simone Del Favero
    Scientific Reports.2020;[Epub]     CrossRef
  • Smartphone-Based Data Collection in Ophthalmology
    Florian Philipp Raber, Rokas Gerbutavicius, Armin Wolf, Karsten Kortüm
    Klinische Monatsblätter für Augenheilkunde.2020; 237(12): 1420.     CrossRef
  • Glycemic Status Assessment by the Latest Glucose Monitoring Technologies
    Ilaria Malandrucco, Benedetta Russo, Fabiana Picconi, Marika Menduni, Simona Frontoni
    International Journal of Molecular Sciences.2020; 21(21): 8243.     CrossRef
  • Medical Nutrition Therapy Using Continuous Glucose Monitoring System
    Mee Ra Kweon
    The Journal of Korean Diabetes.2020; 21(4): 216.     CrossRef
  • Use of Flash Glucose Monitoring in Patients on Intensive Insulin Treatment
    Jun Sung Moon
    The Journal of Korean Diabetes.2020; 21(4): 184.     CrossRef
  • Data Analysis and Accuracy Evaluation of a Continuous Glucose-Monitoring Device
    Lijun Cai, Wancheng Ge, Zhigang Zhu, Xueling Zhao, Zhanhong Li
    Journal of Sensors.2019; 2019: 1.     CrossRef
  • Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime
    Martina Vettoretti, Cristina Battocchio, Giovanni Sparacino, Andrea Facchinetti
    Sensors.2019; 19(23): 5320.     CrossRef
Original Articles
Epidemiology
Insulin Resistance and the Risk of Diabetes and Dysglycemia in Korean General Adult Population
Jong Ha Baek, Hosu Kim, Kyong Young Kim, Jaehoon Jung
Diabetes Metab J. 2018;42(4):296-307.   Published online April 24, 2018
DOI: https://doi.org/10.4093/dmj.2017.0106
  • 7,853 View
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Insulin resistance is a major pathogenic hallmark of impaired glucose metabolism. We assessed the accuracy of insulin resistance and cut-off values using homeostasis model assessment of insulin resistance (HOMA-IR) to classify type 2 diabetes mellitus (T2DM) and dysglycemia according to age and sex.

Methods

In this cross-sectional study, we analyzed 4,291 anti-diabetic drug-naïve adults (≥20 years) from the 6th Korea National Health and Nutrition Examination Survey in 2015. Metabolic syndrome (MetS) was defined by the modified National Cholesterol Education Program III guideline. Diagnosis of dysglycemia and T2DM were based on fasting glucose and glycosylated hemoglobin levels. The receiver operating characteristic curve and optimal cut-off values of HOMA-IR were assessed to identify T2DM/dysglycemia according to sex and were further analyzed by age.

Results

Sex differences were found in the association of MetS and the different MetS components with T2DM/dysglycemia. The overall optimal cut-off value of HOMA-IR for identifying dysglycemia was 1.6 in both sex. The cut-off values for T2DM were 2.87 in men and 2.36 in women. However, there are differences in diagnostic range of HOMA-IR to distinguish T2DM according to sex and age, and the accuracy of HOMA-IR in identifying T2DM gradually decreased with age especially in women.

Conclusion

Insulin resistance is closely associated with the risk for T2DM/dysglycemia. The accuracy of HOMA-IR levels is characterized by sex- and age-specific differences in identifying T2DM. In addition to insulin resistance index, insulin secretory function, and different MetS components should be considered in the detection of early T2DM, especially in elderly.

Citations

Citations to this article as recorded by  
  • Evaluation of insulin secretion and insulin sensitivity in pregnant women: Application value of simple indices
    Shuying Ren, Dan Wu, Ping Li
    Clinica Chimica Acta.2024; 554: 117753.     CrossRef
  • Association between birth weight and insulin resistance in US adolescents: A retrospective cohort study exploring the role of concurrent body mass index
    Yubo Zhuo, Jieli He, Liangbing Wang, Chun Bong Chow, Frederick K. Ho
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(4): 1061.     CrossRef
  • The Impact of Japanese Dietary Patterns on Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver Fibrosis
    Takafumi Sasada, Chikara Iino, Satoshi Sato, Tetsuyuki Tateda, Go Igarashi, Kenta Yoshida, Kaori Sawada, Tatsuya Mikami, Shigeyuki Nakaji, Hirotake Sakuraba, Shinsaku Fukuda
    Nutrients.2024; 16(17): 2877.     CrossRef
  • Risk of Colorectal Cancer among Patients with One or Multiple Metabolic Syndrome Components
    Shanmuga Sundaram, Rajan Lamichhane, Alfred Cecchetti, Usha Murughiyan, Uma Sundaram
    Cancers.2024; 16(19): 3350.     CrossRef
  • Ziziphus jujuba (Jujube) in Metabolic Syndrome: From Traditional Medicine to Scientific Validation
    Mahboobeh Ghasemzadeh Rahbardar, Homa Fazeli Kakhki, Hossein Hosseinzadeh
    Current Nutrition Reports.2024; 13(4): 845.     CrossRef
  • Biomarkers of insulin sensitivity/resistance
    Constantine E Kosmas, Andreas Sourlas, Konstantinos Oikonomakis, Eleni-Angeliki Zoumi, Aikaterini Papadimitriou, Christina E Kostara
    Journal of International Medical Research.2024;[Epub]     CrossRef
  • Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?
    Davood Khalili, Marjan Khayamzadeh, Karim Kohansal, Noushin Sadat Ahanchi, Mitra Hasheminia, Farzad Hadaegh, Maryam Tohidi, Fereidoun Azizi, Ali Siamak Habibi-Moeini
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
  • Non-Alcoholic Fatty Liver Disease with Sarcopenia and Carotid Plaque Progression Risk in Patients with Type 2 Diabetes Mellitus
    Yongin Cho, Hye-Sun Park, Byung Wook Huh, Yong-ho Lee, Seong Ha Seo, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, So Hun Kim
    Diabetes & Metabolism Journal.2023; 47(2): 232.     CrossRef
  • Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects
    David Primo, Olatz Izaola, Daniel A. de Luis
    Annals of Nutrition and Metabolism.2023; 79(2): 238.     CrossRef
  • Triglyceride glucose index as a predictor of mortality in middle-aged and elderly patients with type 2 diabetes in the US
    Mengjie Zhao, Mengli Xiao, Qin Tan, Fang Lu
    Scientific Reports.2023;[Epub]     CrossRef
  • Assessment HOMA as a predictor for new onset diabetes mellitus and diabetic complications in non-diabetic adults: a KoGES prospective cohort study
    Jibeom Lee, Moon-hyun Kim, Ji-Yong Jang, Chang-Myung Oh
    Clinical Diabetes and Endocrinology.2023;[Epub]     CrossRef
  • Association between experience of insulin resistance and long-term cardiovascular disease risk: findings from the Korean Genome and Epidemiology Study (KOGES)
    Jong Hee Lee, Hye Sun Lee, Soyoung Jeon, Yong-Jae Lee, Byoungjin Park, Jun-Hyuk Lee, Yu-Jin Kwon
    Endocrine.2023; 84(2): 481.     CrossRef
  • Efficacy and safety of evogliptin in patients with type 2 diabetes and non‐alcoholic fatty liver disease: A multicentre, double‐blind, randomized, comparative trial
    Eugene Han, Ji Hye Huh, Eun Y. Lee, Ji C. Bae, Sung W. Chun, Sung H. Yu, Soo H. Kwak, Kyong S. Park, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2022; 24(4): 752.     CrossRef
  • Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea
    Sunmin Park, Chaeyeon Kim, Xuangao Wu
    Diagnostics.2022; 12(1): 212.     CrossRef
  • HOMA-IR as a predictor of Health Outcomes in Patients with Metabolic Risk Factors: A Systematic Review and Meta-analysis
    José G. González-González, Jorge R. Violante-Cumpa, Miguel Zambrano-Lucio, Erick Burciaga-Jimenez, Patricia L. Castillo-Morales, Mariano Garcia-Campa, Ricardo César Solis, Alejandro D González-Colmenero, René Rodríguez-Gutiérrez
    High Blood Pressure & Cardiovascular Prevention.2022; 29(6): 547.     CrossRef
  • A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
    Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Muhammad Anshari
    Mathematics.2022; 10(21): 4027.     CrossRef
  • Osteocalcin is associated with triglyceride glucose index rather than HOMA-IR in men with type 2 diabetes
    Huijie Huang, Ai Wang, Li Cong, Yingjuan Zeng
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The insulin resistance by triglyceride glucose index and risk for dementia: population-based study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Alzheimer's Research & Therapy.2021;[Epub]     CrossRef
  • Association between insulin resistance and lung function trajectory over 4 years in South Korea: community-based prospective cohort
    Sang Hyuk Kim, Hyun Sam Kim, Hyang Ki Min, Sung Woo Lee
    BMC Pulmonary Medicine.2021;[Epub]     CrossRef
  • The triglyceride–glucose index is a more powerful surrogate marker for predicting the prevalence and incidence of type 2 diabetes mellitus than the homeostatic model assessment of insulin resistance
    Hye Min Park, Hye Sun Lee, Yong-Jae Lee, Jun-Hyuk Lee
    Diabetes Research and Clinical Practice.2021; 180: 109042.     CrossRef
  • The effect of 1% glucose loading on metabolism in the elderly patients during remifentanil-induced anesthesia: a randomized controlled trial
    Kohei Fukuta, Asuka Kasai, Noriko Niki, Yuki Ishikawa, Ryosuke Kawanishi, Nami Kakuta, Yoko Sakai, Yasuo M. Tsutsumi, Katsuya Tanaka
    BMC Anesthesiology.2020;[Epub]     CrossRef
  • Suppression of HDAC by sodium acetate rectifies cardiac metabolic disturbance in streptozotocin–nicotinamide-induced diabetic rats
    Kehinde S Olaniyi, Oluwatobi A Amusa, Emmanuel D Areola, Lawrence A Olatunji
    Experimental Biology and Medicine.2020; 245(7): 667.     CrossRef
  • Non-alcoholic steatohepatitis and progression of carotid atherosclerosis in patients with type 2 diabetes: a Korean cohort study
    Hyeok-Hee Lee, Yongin Cho, Young Ju Choi, Byung Wook Huh, Byung-Wan Lee, Eun Seok Kang, Seok Won Park, Bong-Soo Cha, Eun Jig Lee, Yong-ho Lee, Kap Bum Huh
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Triglyceride Glucose-Waist Circumference Better Predicts Coronary Calcium Progression Compared with Other Indices of Insulin Resistance: A Longitudinal Observational Study
    Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Eun Hee Kim, Min Jung Lee, Dong Hyun Yang, Joon-Won Kang, Chang Hee Jung, Joong-Yeol Park, Hong-Kyu Kim, Woo Je Lee
    Journal of Clinical Medicine.2020; 10(1): 92.     CrossRef
  • Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females
    Liong Boy Kurniawan, Bachtiar Syamsir, Ilham Akbar Rahman, Endy Adnan, Tenri Esa, Yuyun Widaningsih, Uleng Bahrun, Mansyur Arif
    Romanian Journal of Internal Medicine.2020; 58(3): 168.     CrossRef
  • Effects of magnitude of visceral adipose tissue reduction: Impact on insulin resistance, hyperleptinemia and cardiometabolic risk in adolescents with obesity after long-term weight-loss therapy
    Raquel Munhoz da Silveira Campos, Deborah Cristina Landi Masquio, Flávia Campos Corgosinho, Danielle Arisa Caranti, Aline de Piano Ganen, Lian Tock, Lila Missae Oyama, Ana Raimunda Dâmaso
    Diabetes and Vascular Disease Research.2019; 16(2): 196.     CrossRef
  • Mediation analysis of dietary habits, nutrient intakes, daily life in the relationship between working hours of Korean shift workers and metabolic syndrome : the sixth (2013 ~ 2015) Korea National Health and Nutrition Examination Survey
    Yoona Kim, Hyeon Hee Kim, Dong Hoon Lim
    Journal of Nutrition and Health.2018; 51(6): 567.     CrossRef
  • The cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean Genome and Epidemiology Study (KOGES)
    Bongyoung Kim, Hyun Young Choi, Wonhee Kim, Chiwon Ahn, Juncheol Lee, Jae Guk Kim, Jihoon Kim, Hyungoo Shin, Jae Myung Yu, Shinje Moon, Taulant Muka
    PLOS ONE.2018; 13(11): e0206994.     CrossRef
Clinical Care/Education
Comparison of Glucose Area Under the Curve Measured Using Minimally Invasive Interstitial Fluid Extraction Technology with Continuous Glucose Monitoring System in Diabetic Patients
Mei Uemura, Yutaka Yano, Toshinari Suzuki, Taro Yasuma, Toshiyuki Sato, Aya Morimoto, Samiko Hosoya, Chihiro Suminaka, Hiromu Nakajima, Esteban C. Gabazza, Yoshiyuki Takei
Diabetes Metab J. 2017;41(4):265-274.   Published online July 31, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.4.265
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AbstractAbstract PDFPubReader   
Background

Continuous glucose monitoring (CGM) is reported to be a useful technique, but difficult or inconvenient for some patients and institutions. We are developing a glucose area under the curve (AUC) monitoring system without blood sampling using a minimally invasive interstitial fluid extraction technology (MIET). Here we evaluated the accuracy of interstitial fluid glucose (IG) AUC measured by MIET in patients with diabetes for an extended time interval and the potency of detecting hyperglycemia using CGM data as a reference.

Methods

Thirty-eight inpatients with diabetes undergoing CGM were enrolled. MIET comprised a pretreatment step using a plastic microneedle array and glucose accumulation step with a hydrogel patch, which was placed on two sites from 9:00 AM to 5:00 PM or from 10:00 PM to 6:00 AM. IG AUC was calculated by accumulated glucose extracted by hydrogel patches using sodium ion as standard.

Results

A significant correlation was observed between the predicted AUC by MIET and CGM in daytime (r=0.76) and nighttime (r=0.82). The optimal cutoff for the IG AUC value of MIET to predict hyperglycemia over 200 mg/dL measured by CGM for 8 hours was 1,067.3 mg·hr/dL with 88.2% sensitivity and 81.5% specificity.

Conclusion

We showed that 8-hour IG AUC levels using MIET were valuable in estimating the blood glucose AUC without blood sampling. The results also supported the concept of using this technique for evaluating glucose excursion and for screening hyperglycemia during 8 hours in patients with diabetes at any time of day.

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  • Efficacy of Postprandial Exercise in Mitigating Glycemic Responses in Overweight Individuals and Individuals with Obesity and Type 2 Diabetes—A Systematic Review and Meta-Analysis
    Jie Kang, Brian M. Fardman, Nicholas A. Ratamess, Avery D. Faigenbaum, Jill A. Bush
    Nutrients.2023; 15(20): 4489.     CrossRef
  • Multifunctional Wearable System that Integrates Sweat‐Based Sensing and Vital‐Sign Monitoring to Estimate Pre‐/Post‐Exercise Glucose Levels
    Yongseok Joseph Hong, Hyunjae Lee, Jaemin Kim, Minha Lee, Hyung Jin Choi, Taeghwan Hyeon, Dae‐Hyeong Kim
    Advanced Functional Materials.2018;[Epub]     CrossRef
Reviews
The Role of Glucagon-Like Peptide-1 Receptor Agonists in Type 2 Diabetes: Understanding How Data Can Inform Clinical Practice in Korea
Seungjoon Oh, Suk Chon, Kyu Jeong Ahn, In-Kyung Jeong, Byung-Joon Kim, Jun Goo Kang
Diabetes Metab J. 2015;39(3):177-187.   Published online June 15, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.177
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AbstractAbstract PDFPubReader   

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) reduce glycosylated hemoglobin (HbA1c, 0.5% to 1.0%), and are associated with moderate weight loss and a relatively low risk of hypoglycemia. There are differences between Asian and non-Asian populations. We reviewed available data on GLP-1RAs, focusing on Korean patients, to better understand their risk/benefit profile and help inform local clinical practice. Control of postprandial hyperglycemia is important in Asians in whom the prevalence of post-challenge hyperglycemia is higher (vs. non-Asians). The weight lowering effects of GLP-1RAs are becoming more salient as the prevalence of overweight and obesity among Korean patients increases. The higher rate of gastrointestinal adverse events amongst Asian patients in clinical trials may be caused by higher drug exposure due to the lower body mass index of the participants (vs. non-Asian studies). Data on the durability of weight loss, clinically important health outcomes, safety and optimal dosing in Korean patients are lacking. Use of GLP-1RAs is appropriate in several patient groups, including patients whose HbA1c is uncontrolled, especially if this is due to postprandial glucose excursions and patients who are overweight or obese due to dietary problems (e.g., appetite control). The potential for gastrointestinal adverse events should be explained to patients at treatment initiation to facilitate the promotion of better compliance.

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  • Safety and Effectiveness of Dulaglutide in the Treatment of Type 2 Diabetes Mellitus: A Korean Real-World Post-Marketing Study
    Jeonghee Han, Woo Je Lee, Kyu Yeon Hur, Jae Hyoung Cho, Byung Wan Lee, Cheol-Young Park
    Diabetes & Metabolism Journal.2024; 48(3): 418.     CrossRef
  • Tolerability and Effectiveness of Switching to Dulaglutide in Patients With Type 2 Diabetes Inadequately Controlled With Insulin Therapy
    Youngsook Kim, Ji Hye Huh, Minyoung Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
Hyperglycemia as a Risk Factor for Cancer Progression
Tae Young Ryu, Jiyoung Park, Philipp E. Scherer
Diabetes Metab J. 2014;38(5):330-336.   Published online October 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.5.330
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AbstractAbstract PDFPubReader   

As the prevalence of diabetes mellitus is substantially increasing worldwide, associated diseases such as renal failure, cardiovascular diseases, fatty liver, and cancers have also increased. A number of cancers such as pancreatic, liver, breast, and female reproductive cancers have shown an increased prevalence and a higher mortality rate in diabetic patients compared to healthy subjects. Thus, this suggests an association between diabetes, especially type 2 diabetes and cancer incidence and progression. Recent studies have suggested that hyperinsulinemia, chronic inflammation and hyperglycemia, all frequently seen in diabetics, may lead to increased tumor growth; the underlying molecular mechanisms of this association are not fully understood. In particular, chronic hyperglycemic episodes could serve as a direct or indirect mediator of the increase in tumor cell growth. Here, we will discuss our current understanding how hyperglycemia and cancer risk may be linked, and what the implications are for the treatment of diabetic cancer patients.

Citations

Citations to this article as recorded by  
  • Enhanced degradation of epidermal growth factor receptor by metformin
    Mayuka Yamagata, Sen Higashi, Noboru Yaida, Akane Ichihara, Manabu Habu, Masaaki Sasaguri, Kazuhiro Tominaga, Hiroshi Takeuchi
    Oral Science International.2024; 21(1): 59.     CrossRef
  • Development and Validation of a Fluorogenic Probe for Lysosomal Zinc Release
    Adarash Kumar Shukla, Ashutosh Mahale, Savita Choudhary, Pravesh Sharma, Onkar Prakash Kulkarni, Anupam Bhattacharya
    ChemBioChem.2024;[Epub]     CrossRef
  • Type 2 diabetes, glycaemic traits and upper gastrointestinal cancer risk: a prospective cohort study
    Luyao Cao, Tianpei Wang, Huizhang Li, Fadoua El Hafa, Xia Zhu, Yuhui Yu, Caiwang Yan, Lingbin Du, Meng Zhu, Guangfu Jin
    Journal of Epidemiology and Community Health.2024; 78(3): 145.     CrossRef
  • Extrahepatic malignancies in metabolic dysfunction‐associated fatty liver disease: A nationwide cohort study
    Min Kyung Park, Moon Haeng Hur, Hye‐Sung Moon, Hyunjae Shin, Sung Won Chung, Sungho Won, Yun Bin Lee, Eun Ju Cho, Jeong‐Hoon Lee, Su Jong Yu, Jung‐Hwan Yoon, Yoon Jun Kim
    Liver International.2024; 44(3): 799.     CrossRef
  • Effects of the Mediterranean Diet on metabolic indices and quality of life in cancer patients: A systematic review and meta-analysis of randomized controlled trials
    Shuai Lu, Xibo Sun, Weihao Zhang, Xiangqi Li, Zhongbao Zhou, Ruixue Xiao, Qingchen Lv, Huazhen Tang, Bing Wang, Jinxiu Qu, Rui Cao, Jia He, Shiwan Wang, Penghui Yang, Zhenpeng Yang, Benqiang Rao
    Journal of Functional Foods.2024; 114: 106074.     CrossRef
  • M1-derived extracellular vesicles polarize recipient macrophages into M2-like macrophages and alter skeletal muscle homeostasis in a hyper-glucose environment
    Stefano Tacconi, Francesco Vari, Carolina Sbarigia, Diana Vardanyan, Serena Longo, Francesco Mura, Federica Angilè, Audrey Jalabert, Ferninand Blangero, Assia Eljaafari, Laurence Canaple, Daniele Vergara, Francesco Paolo Fanizzi, Marco Rossi, Claire Crola
    Cell Communication and Signaling.2024;[Epub]     CrossRef
  • The complex landscape of intracellular signalling in protein modification under hyperglycaemic stress leading to metabolic disorders
    Hamda Khan, Afreen Khanam, Adnan Ahmad Khan, Rizwan Ahmad, Arbab Husain, Safia Habib, Saheem Ahmad, Moinuddin
    The Protein Journal.2024; 43(3): 425.     CrossRef
  • Nuclear translocation of metabolic enzyme PKM2 participates in high glucose-promoted HCC metastasis by strengthening immunosuppressive environment
    Jiali Qian, Chuxin Huang, Mimi Wang, Ying Liu, Yingying Zhao, Miao Li, Xi Zhang, Xiangyu Gao, Yawen Zhang, Yi Wang, Jinya Huang, Jiajun Li, Qiwen Zhou, Rui Liu, Xuanchun Wang, Jiefeng Cui, Yehong Yang
    Redox Biology.2024; 71: 103103.     CrossRef
  • Mitochondrial ALDH2 improves ß‐cell survival and function against doxorubicin‐induced apoptosis by targeting CK2 signaling
    Udayakumar Karunakaran, Eun Yeong Ha, Suma Elumalai, Kyu Chang Won, Jun Sung Moon
    Journal of Diabetes Investigation.2024; 15(6): 684.     CrossRef
  • Macrophages, IL-10, and nitric oxide increase, induced by hyperglycemic conditions, impact the development of murine melanoma B16F10-Nex2
    Tarciso A. Sellani, Samanta L. Tomaz, Jéssica M. Gonçalves, Adriana Lima, Carolina C. de Amat Herbozo, Gabrielli N. Silva, Mônica Gambero, Ieda M. Longo-Maugéri, Karin A. Simon, Hugo P. Monteiro, Elaine G. Rodrigues
    Nitric Oxide.2024; 148: 1.     CrossRef
  • Bidirectional relationship between pancreatic cancer and diabetes mellitus: a comprehensive literature review
    Shady Sapoor, Mahmoud Nageh, Noran Magdy Shalma, Rana Sharaf, Nooran Haroun, Esraa Salama, Tungki Pratama Umar, Sadish Sharma, Reem Sayad
    Annals of Medicine & Surgery.2024;[Epub]     CrossRef
  • Diabetes Risk Reduction Diet (DRRD) and Breast Cancer Risk: A Review
    Motahareh Hasani, Hananeh Ghasemi, Adeleh Khodabakhshi
    Nutrition and Cancer.2024; 76(8): 676.     CrossRef
  • Tobacco-induced hyperglycemia promotes lung cancer progression via cancer cell-macrophage interaction through paracrine IGF2/IR/NPM1-driven PD-L1 expression
    Hyun-Ji Jang, Hye-Young Min, Yun Pyo Kang, Hye-Jin Boo, Jisung Kim, Jee Hwan Ahn, Seung Ho Oh, Jin Hwa Jung, Choon-Sik Park, Jong-Sook Park, Seog-Young Kim, Ho-Young Lee
    Nature Communications.2024;[Epub]     CrossRef
  • Exploring the anti-cancer potential of SGLT2 inhibitors in breast cancer treatment in pre-clinical and clinical studies
    Yasaman Naeimzadeh, Amir Tajbakhsh, Mahnaz Nemati, Jafar Fallahi
    European Journal of Pharmacology.2024; 978: 176803.     CrossRef
  • Modern view of the problem: the influence of obesity as a key component of metabolic syndrome on the development and progression of endometrial cancer
    A. Yu. Pavlov, A. G. Dzidzariya, S. Yu. Kalinchenko, P. V. Muravyeva
    Malignant tumours.2024; 14(2): 75.     CrossRef
  • Cancer risk following onset of type 2 diabetes in New Zealanders with impaired glucose tolerance over 25 years: a matched prospective cohort study
    Zheng Wang, Dahai Yu, Uchechukwu Levi Osuagwu, Karen Pickering, John Baker, Richard Cutfield, Yamei Cai, Brandon J. Orr-Walker, Gerhard Sundborn, Bingjie Qu, Zhanzheng Zhao, David Simmons
    BMC Cancer.2024;[Epub]     CrossRef
  • Dietary-Based Diabetes Risk Score and breast cancer: a prospective evaluation in the SUN project
    Inmaculada Aguilera-Buenosvinos, Miguel A. Martínez-González, Andrea Romanos-Nanclares, Rodrigo Sánchez-Bayona, Carlos E. de Andrea, Ligia J. Domínguez, Estefania Toledo
    Journal of Physiology and Biochemistry.2024;[Epub]     CrossRef
  • Antioxidant, antimutagenic, and hypoglycemic properties of flours by different parts of marolo (Annona crassiflora Mart.) seeds: Film and almond
    Pollyanna Francielli de Oliveira, Patrícia Felix Ávila, Mylena de Melo Carolo dos Santos, Letícia Misuraca Meirelles, Luiz Fernando Ramos, Angélica Pereira Todescato, Maysa do Vale-Oliveira, Flávia Beatriz Custódio, Bruno Martins Dala-Paula
    Food Research International.2024; 196: 115055.     CrossRef
  • The Interlinking Metabolic Association between Type 2 Diabetes Mellitus and Cancer: Molecular Mechanisms and Therapeutic Insights
    Abutaleb Asiri, Ali Al Qarni, Ahmed Bakillah
    Diagnostics.2024; 14(19): 2132.     CrossRef
  • Malignancy risk factors based on endometrial polyp
    Ferhat Cetin, İlkan Kayar, Özer Birge, Goksu Goc
    BMC Women's Health.2024;[Epub]     CrossRef
  • Activation of the WNT7B/β-Catenin Pathway Initiates GLUT1 Expression and Promotes Aerobic Glycolysis in Colorectal Cancer Cells
    Fan Jiang, Zhiju Chen, Xiang Wang, Chuangyu Huang, Yiwei Li, Ning Liu
    Nutrition and Cancer.2024; : 1.     CrossRef
  • Designing of potent anti-diabetic molecules by targeting SIK2 using computational approaches
    Prajisha Jayaprakash, Jayashree Biswal, Raghu Rangaswamy, Jeyaraman Jeyakanthan
    Molecular Diversity.2023; 27(3): 1101.     CrossRef
  • Asprosin in health and disease, a new glucose sensor with central and peripheral metabolic effects
    Mariam Farrag, Djedjiga Ait Eldjoudi, María González-Rodríguez, Alfonso Cordero-Barreal, Clara Ruiz-Fernández, Maurizio Capuozzo, Miguel Angel González-Gay, Antonio Mera, Francisca Lago, Ahmed Soffar, Amina Essawy, Jesus Pino, Yousof Farrag, Oreste Gualil
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • HIPK2 as a Novel Regulator of Fibrosis
    Alessia Garufi, Giuseppa Pistritto, Gabriella D’Orazi
    Cancers.2023; 15(4): 1059.     CrossRef
  • Cancer—A Pragmatic Switch to Combat Metabolic Syndrome?
    John Claras
    Oncology Reviews.2023;[Epub]     CrossRef
  • Could Vaspin Be a Potential Diagnostic Marker in Endometrial Cancer?
    Dominika Pietrzyk, Piotr Tkacz, Mateusz Kozłowski, Sebastian Kwiatkowski, Małgorzata Rychlicka, Ewa Pius-Sadowska, Bogusław Machaliński, Aneta Cymbaluk-Płoska
    International Journal of Environmental Research and Public Health.2023; 20(6): 4999.     CrossRef
  • Diabetes and Cancer
    Jae Won Hong
    The Journal of Korean Diabetes.2023; 24(1): 12.     CrossRef
  • The Sweet Side of HIPK2
    Alessia Garufi, Valerio D’Orazi, Giuseppa Pistritto, Mara Cirone, Gabriella D’Orazi
    Cancers.2023; 15(10): 2678.     CrossRef
  • Glucose-induced CRL4COP1-p53 axis amplifies glycometabolism to drive tumorigenesis
    Yang Su, Yifan Luo, Peitao Zhang, Hong Lin, Weijie Pu, Hongyun Zhang, Huifang Wang, Yi Hao, Yihang Xiao, Xiaozhe Zhang, Xiayun Wei, Siyue Nie, Keren Zhang, Qiuyu Fu, Hao Chen, Niu Huang, Yan Ren, Mingxuan Wu, Billy Kwok Chong Chow, Xing Chen, Wenfei Jin,
    Molecular Cell.2023; 83(13): 2316.     CrossRef
  • SGLT2 Inhibitors as Potential Anticancer Agents
    Debasish Basak, David Gamez, Subrata Deb
    Biomedicines.2023; 11(7): 1867.     CrossRef
  • Diabetes mellitus and cancer
    Jae Won Hong
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(3): 69.     CrossRef
  • Risk Factors of Renal Cell Carcinoma
    云治 秦
    Medical Diagnosis.2023; 13(03): 335.     CrossRef
  • The Role of Meteorin-Like Peptide and Asprosin in Colon Carcinoma
    Elif Onat, Nevin Kocaman, Hilal Balta
    Cureus.2023;[Epub]     CrossRef
  • Diabetes-associated breast cancer is molecularly distinct and shows a DNA damage repair deficiency
    Gatikrushna Panigrahi, Julián Candia, Tiffany H. Dorsey, Wei Tang, Yuuki Ohara, Jung S. Byun, Tsion Zewdu Minas, Amy Zhang, Anuoluwapo Ajao, Ashley Cellini, Harris G. Yfantis, Amy L. Flis, Dean Mann, Olga Ioffe, Xin W. Wang, Huaitian Liu, Christopher A. L
    JCI Insight.2023;[Epub]     CrossRef
  • The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study
    Hang Dong, Honglin Guo, Jing Du, Yiping Cheng, Dawei Wang, Junming Han, Zinuo Yuan, Zhenyu Yao, Ran An, Xiaoqin Wu, Kyle L. Poulsen, Zhixiang Wang, Shanshan Shao, Xiude Fan, Zhen Wang, Jiajun Zhao
    Cancer & Metabolism.2023;[Epub]     CrossRef
  • Dose‐dependent effects of aerobic exercise on clinically relevant biomarkers among healthy women at high genetic risk for breast cancer: A secondary analysis of a randomized controlled study
    Christopher J. Ehret, Shouhao Zhou, Julia C. Tchou, Kathryn H. Schmitz, Kathleen M. Sturgeon
    Cancer Reports.2022;[Epub]     CrossRef
  • Do diabetic complications influence cancer-related events in people with type 2 diabetes? A cohort approach
    Evelyne Liuu, Pierre-Jean Saulnier, Elise Gand, Gautier Defossez, Amélie Jamet, Stéphanie Ragot, Marc Paccalin, Samy Hadjadj
    Diabetes & Metabolism.2022; 48(2): 101289.     CrossRef
  • Unraveling the Role of STK11/LKB1 in Non-small Cell Lung Cancer
    Vikram Sumbly, Ian Landry
    Cureus.2022;[Epub]     CrossRef
  • Impact of Diabetes Mellitus and Its Comorbidities on Elderly Patients Hospitalized in Internal Medicine Wards: Data from the RePoSi Registry
    Christiano Argano, Giuseppe Natoli, Salvatore Mularo, Alessandro Nobili, Marika Lo Monaco, Pier Mannuccio Mannucci, Francesco Perticone, Antonello Pietrangelo, Salvatore Corrao
    Healthcare.2022; 10(1): 86.     CrossRef
  • Type 2 Diabetes and Risk of Early-Onset Colorectal Cancer
    Zitong Li, Hanyu Chen, Cassandra D.L. Fritz, Xiaobin Zheng, Xiaoyu Zong, Katelin B. Nickel, Andrew Tipping, Long H. Nguyen, Andrew T. Chan, Edward L. Giovannucci, Graham A. Colditz, Margaret A. Olsen, Peter T. Campbell, Nicholas O. Davidson, Ryan C. Field
    Gastro Hep Advances.2022; 1(2): 186.     CrossRef
  • Metformin Downregulates the Expression of Epidermal Growth Factor Receptor Independent of Lowering Blood Glucose in Oral Squamous Cell Carcinoma
    Wei-Ming Wang, Si-Si Yang, Shu-Hui Shao, Huan-Quan Nie, Jing Zhang, Tong Su
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Exploring the Impact of the Obesity Paradox on Lung Cancer and Other Malignancies
    Lindsay Joyce Nitsche, Sarbajit Mukherjee, Kareena Cheruvu, Cathleen Krabak, Rohit Rachala, Kalyan Ratnakaram, Priyanka Sharma, Maddy Singh, Sai Yendamuri
    Cancers.2022; 14(6): 1440.     CrossRef
  • Modern Lifestyle, Stress and Metabolism: Possible Risk Factors for Oral Carcinogenesis in the Young Generation
    Monal Yuwanati, Sachin C Sarode, Amol Gadbail, Shailesh Gondivkar, Gargi Sarode
    Future Oncology.2022; 18(15): 1801.     CrossRef
  • Effects of In Vitro Digestion on Anti-α-Amylase and Cytotoxic Potentials of Sargassum spp.
    Sovannary Un, Nguyen Van Quan, La Hoang Anh, Vu Quang Lam, Akiyoshi Takami, Tran Dang Khanh, Tran Dang Xuan
    Molecules.2022; 27(7): 2307.     CrossRef
  • Consumption of “Diabetes Risk Reduction Diet” and Odds of Breast Cancer Among Women in a Middle Eastern Country
    Sara Ebrahimi Mousavi, Amir Bagheri, Sanaz Benisi-Kohansal, Leila Azadbakht, Ahmad Esmaillzadeh
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Fasting Insulin and Risk of Overall and 14 Site-Specific Cancers: Evidence From Genetic Data
    Han Zhang, Doudou Li, Xiaozhuan Liu, Zhongxiao Wan, Zengli Yu, Yuming Wang, Xue Li
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • A Nutritional Metabolism Related Prognostic Scoring System for Patients With Newly Diagnosed Osteosarcoma
    Longqing Li, Zhuangzhuang Li, Xuanhong He, Yang Wang, Minxun Lu, Taojun Gong, Qing Chang, Jingqi Lin, Yi Luo, Li Min, Yong Zhou, Chongqi Tu
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Review of Mendelian Randomization Studies on Endometrial Cancer
    Jian-Zeng Guo, Qi-Jun Wu, Fang-Hua Liu, Chang Gao, Ting-Ting Gong, Gang Li
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • PROBLEMS AND EDUCATIONAL NEEDS RELATED TO PORT CATHETER IN CANCER PATIENTS
    Mehmet Zeki AVCI, Sevda ŞAHİN, Betülay KILIÇ, Hatice SUTCU CICEK
    İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi.2022; 10(3): 849.     CrossRef
  • Association of Physical Activity and Sedentary Behavior With the Risk of Colorectal Cancer
    Sanghyun An, Sungjin Park
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Sleep Disruption and Cancer: Chicken or the Egg?
    Adrian Berisha, Kyle Shutkind, Jeremy C. Borniger
    Frontiers in Neuroscience.2022;[Epub]     CrossRef
  • Role of anti-angiogenic factors in the pathogenesis of breast cancer: A review of therapeutic potential
    Liwei Ruan, Songou Zhang, Xiaozhen Chen, Wenqing Liang, Qiong Xie
    Pathology - Research and Practice.2022; 236: 153956.     CrossRef
  • Cancer-cell-secreted extracellular vesicles suppress insulin secretion through miR-122 to impair systemic glucose homeostasis and contribute to tumour growth
    Minghui Cao, Roi Isaac, Wei Yan, Xianhui Ruan, Li Jiang, Yuhao Wan, Jessica Wang, Emily Wang, Christine Caron, Steven Neben, Denis Drygin, Donald P. Pizzo, Xiwei Wu, Xuxiang Liu, Andrew R. Chin, Miranda Y. Fong, Ziting Gao, Kaizhu Guo, Oluwole Fadare, Ric
    Nature Cell Biology.2022; 24(6): 954.     CrossRef
  • Association between haemoglobin A1c and all-cause and cause-specific mortality in middle-aged and older Koreans: a prospective cohort study
    Bo Mi Song, Jung Hyun Lee, Hae Dong Woo, Mi Jin Cho, Sung Soo Kim
    Nutrition & Metabolism.2022;[Epub]     CrossRef
  • Antidiabetic and Antiradical Effects of Garcinia kola Seeds in Dexamethasone-Induced Hyperglycemic Rats
    Barnabé Lucien Nkono Ya Nkono, Ablassé Rouamba, Mc Jesus Kinyok, Jean Guy Stéphane Omokolo, Balthazar Tchouanka Tcheudi, Benjamin Arnaud Tigui, Paul D. Djomeni Dzeufiet, Sélestin Dongmo Sokeng, Pierre Kamtchouing
    International Journal of Applied & Basic Medical Research.2022; 12(3): 203.     CrossRef
  • The “Diabetes Comorbidome”: A Different Way for Health Professionals to Approach the Comorbidity Burden of Diabetes
    Salvatore Corrao, Giuseppe Natoli, Alessandro Nobili, Pier Mannucci, Francesco Perticone, Vincenzo Arcoraci, Christiano Argano
    Healthcare.2022; 10(8): 1459.     CrossRef
  • New insights into the prognosis of intraocular malignancy: Interventions for association mechanisms between cancer and diabetes
    Lingwen Gu, Guofeng Ma, Cui Li, Jing Lin, Guiqiu Zhao
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Glucose deprivation reduces proliferation and motility, and enhances the anti-proliferative effects of paclitaxel and doxorubicin in breast cell lines in vitro
    Maitham A. Khajah, Sarah Khushaish, Yunus A. Luqmani, Yi-Hsien Hsieh
    PLOS ONE.2022; 17(8): e0272449.     CrossRef
  • Chronic hyperglycemia based on diabetes is independently associated with decreased survival in patients with advanced cancer treated with immune checkpoint inhibitors
    Emre Yekedüz, Elif Berna Köksoy, Sati Coşkun Yazgan, Göktürk Karataş, Filiz Çay Şenler, Güngör Utkan, Hakan Akbulut, Ahmet Demirkazik, Yüksel Ürün
    Anti-Cancer Drugs.2022; 33(10): 1145.     CrossRef
  • HIF-1α Expression Increases Preoperative Concurrent Chemoradiotherapy Resistance in Hyperglycemic Rectal Cancer
    Yi-Jung Huang, Yi-Ting Chen, Chun-Ming Huang, Shih-Hsun Kuo, Yan-You Liao, Wun-Ya Jhang, Shuo-Hung Wang, Chien-Chih Ke, Yu-Hsiang Huang, Chiu-Min Cheng, Ming-Yii Huang, Chih-Hung Chuang
    Cancers.2022; 14(16): 4053.     CrossRef
  • Multifaceted entrancing role of glucose and its analogue, 2-deoxy-D-glucose in cancer cell proliferation, inflammation, and virus infection
    Sananda Dey, Nensina Murmu, Tanushree Mondal, Ishita Saha, Soumendranath Chatterjee, Rahul Manna, Subhash Haldar, Sandeep K. Dash, Tapasree Roy Sarkar, Biplab Giri
    Biomedicine & Pharmacotherapy.2022; 156: 113801.     CrossRef
  • Evaluation of Tissue Expression of Vaspin and Serum Vaspin Concentration as a Prognostic and Risk Factor in Endometrial Cancer
    Mateusz Kozłowski, Dominika Pietrzyk, Małgorzata Rychlicka, Katarzyna Piotrowska, Katarzyna Nowak, Sebastian Kwiatkowski, Aneta Cymbaluk-Płoska
    Cells.2022; 11(20): 3196.     CrossRef
  • Exploring the role of neutrophil-to-lymphocyte ratio and blood chemistry in head and neck adenoid cystic carcinomas treated with carbon ion radiotherapy
    Amelia Barcellini, Giulia Fontana, Daria Maria Filippini, Sara Ronchi, Maria Bonora, Barbara Vischioni, Rossana Ingargiola, Anna Maria Camarda, Pierre Loap, Nadia Facchinetti, Lisa Licitra, Guido Baroni, Ester Orlandi
    Radiotherapy and Oncology.2022; 177: 143.     CrossRef
  • Diabetic hyperglycemia promotes primary tumor progression through glycation-induced tumor extracellular matrix stiffening
    Wenjun Wang, Lauren A. Hapach, Lauren Griggs, Kyra Smart, Yusheng Wu, Paul V. Taufalele, Matthew M. Rowe, Katherine M. Young, Madison E. Bates, Andrew C. Johnson, Nicholas J. Ferrell, Ambra Pozzi, Cynthia A. Reinhart-King
    Science Advances.2022;[Epub]     CrossRef
  • The Relationship between Type 2 Diabetes Mellitus with the Occurrence and Progression of Prostate Cancer
    树森 贾
    Advances in Clinical Medicine.2022; 12(11): 10748.     CrossRef
  • Palliative urinary diversion in patients with malignant ureteric obstruction due to gynaecological cancer
    Tamar Perri, Elad Meller, Gilad Ben-Baruch, Yael Inbar, Sara Apter, Lee Heyman, Zohar Dotan, Jacob Korach
    BMJ Supportive & Palliative Care.2022; 12(e6): e855.     CrossRef
  • Onkodiabetológia I.
    Róbert János Bánhegyi, Andrea Gazdag, Beatrix Rácz, Szilvia Beke, Norbert Fülöp
    Orvosi Hetilap.2022; 163(39): 1535.     CrossRef
  • AGE-RAGE synergy influences programmed cell death signaling to promote cancer
    Bhargav N. Waghela, Foram U. Vaidya, Kishu Ranjan, Abu Sufiyan Chhipa, Budhi Sagar Tiwari, Chandramani Pathak
    Molecular and Cellular Biochemistry.2021; 476(2): 585.     CrossRef
  • Diabetes mellitus and oral cancer/oral potentially malignant disorders: A systematic review and meta‐analysis
    Pablo Ramos‐Garcia, Maria del Mar Roca‐Rodriguez, Manuel Aguilar‐Diosdado, Miguel Angel Gonzalez‐Moles
    Oral Diseases.2021; 27(3): 404.     CrossRef
  • High pre-operative fasting blood glucose levels predict a poor prognosis in patients with pancreatic neuroendocrine tumour
    Yitao Gong, Zhiyao Fan, Pin Zhang, Yunzhen Qian, Qiuyi Huang, Shengming Deng, Guopei Luo, He Cheng, Kaizhou Jin, Quanxing Ni, Xianjun Yu, Chen Liu
    Endocrine.2021; 71(2): 494.     CrossRef
  • Thrombospondin‐4 mediates hyperglycemia‐ and TGF‐beta‐induced inflammation in breast cancer
    Santoshi Muppala, Roy Xiao, Jasmine Gajeton, Irene Krukovets, Dmitriy Verbovetskiy, Olga Stenina‐Adognravi
    International Journal of Cancer.2021; 148(8): 2010.     CrossRef
  • The predictive power of CD3+ T cell infiltration of oral squamous cell tumors is limited to non-diabetic patients
    Gerrit Spanier, Ines Ugele, Felix Nieberle, Luisa Symeou, Sandra Schmidhofer, Almut Brand, Johannes Meier, Steffen Spoerl, Rosemarie Krupar, Petra Rümmele, Peter Siska, Kathrin Renner, Katrin Peter, Michael Gerken, Philipp Beckhove, Torsten E. Reichert, M
    Cancer Letters.2021; 499: 209.     CrossRef
  • Contribution of RAGE axis activation to the association between metabolic syndrome and cancer
    Ma. Eugenia Garay-Sevilla, Armando Gomez-Ojeda, Ileana González, Claudia Luévano-Contreras, Armando Rojas
    Molecular and Cellular Biochemistry.2021; 476(3): 1555.     CrossRef
  • PKC Regulates YAP Expression through Alternative Splicing of YAP 3′UTR Pre-mRNA by hnRNP F
    Wing-Keung Chu, Li-Man Hung, Chun-Wei Hou, Jan-Kan Chen
    International Journal of Molecular Sciences.2021; 22(2): 694.     CrossRef
  • The Taming of Nuclear Factor Erythroid-2-Related Factor-2 (Nrf2) Deglycation by Fructosamine-3-Kinase (FN3K)-Inhibitors-A Novel Strategy to Combat Cancers
    Narasimha M. Beeraka, Venugopal R. Bovilla, Shalini H. Doreswamy, Sujatha Puttalingaiah, Asha Srinivasan, SubbaRao V. Madhunapantula
    Cancers.2021; 13(2): 281.     CrossRef
  • Body Habitus Across the Lifespan and Risk of Pituitary Adenoma
    David J Cote, Timothy R Smith, Ursula B Kaiser, Edward R Laws, Meir J Stampfer
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(4): 1591.     CrossRef
  • Dairy Consumption and Incidence of Breast Cancer in the ‘Seguimiento Universidad de Navarra’ (SUN) Project
    Inmaculada Aguilera-Buenosvinos, Cesar Ignacio Fernandez-Lazaro, Andrea Romanos-Nanclares, Alfredo Gea, Rodrigo Sánchez-Bayona, Jose M. Martín-Moreno, Miguel Ángel Martínez-González, Estefanía Toledo
    Nutrients.2021; 13(2): 687.     CrossRef
  • Hyperglycemia-Induced miR-467 Drives Tumor Inflammation and Growth in Breast Cancer
    Jasmine Gajeton, Irene Krukovets, Santoshi Muppala, Dmitriy Verbovetskiy, Jessica Zhang, Olga Stenina-Adognravi
    Cancers.2021; 13(6): 1346.     CrossRef
  • Prevalent diabetes and risk of total, colorectal, prostate and breast cancers in an ageing population: meta-analysis of individual participant data from cohorts of the CHANCES consortium
    Amina Amadou, Heinz Freisling, Mazda Jenab, Konstantinos K. Tsilidis, Antonia Trichopoulou, Paolo Boffetta, Bethany Van Guelpen, Olatz Mokoroa, Tom Wilsgaard, Frank Kee, Ben Schöttker, José M. Ordóñez-Mena, Satu Männistö, Stefan Söderberg, Roel C. H. Verm
    British Journal of Cancer.2021; 124(11): 1882.     CrossRef
  • Preexisting Type 2 Diabetes and Survival among Patients with Colorectal Cancer
    Chen Yuan, Xuehong Zhang, Ana Babic, Vicente Morales-Oyarvide, Yin Zhang, Stephanie A. Smith-Warner, Kana Wu, Molin Wang, Brian M. Wolpin, Jeffrey A. Meyerhardt, Andrew T. Chan, Frank B. Hu, Charles S. Fuchs, Shuji Ogino, Edward L. Giovannucci, Kimmie Ng
    Cancer Epidemiology, Biomarkers & Prevention.2021; 30(4): 757.     CrossRef
  • Food anticipatory hormonal responses: A systematic review of animal and human studies
    Aleksandrina Skvortsova, Dieuwke S. Veldhuijzen, Iris E.M. Kloosterman, Gustavo Pacheco-López, Andrea W.M. Evers
    Neuroscience & Biobehavioral Reviews.2021; 126: 447.     CrossRef
  • Gut Microbiota and Gynecological Cancers: A Summary of Pathogenetic Mechanisms and Future Directions
    Fulvio Borella, Andrea Roberto Carosso, Stefano Cosma, Mario Preti, Giammarco Collemi, Paola Cassoni, Luca Bertero, Chiara Benedetto
    ACS Infectious Diseases.2021; 7(5): 987.     CrossRef
  • Diabetes and Cancer: Metabolic Association, Therapeutic Challenges, and the Role of Natural Products
    Wamidh H. Talib, Asma Ismail Mahmod, Sara Feras. Abuarab, Eliza Hasen, Amer A. Munaim, Shatha Khaled Haif, Amani Marwan Ayyash, Samar Khater, Intisar Hadi AL-Yasari, Lina T. Al Kury
    Molecules.2021; 26(8): 2179.     CrossRef
  • Diabetes increases the risk of meningioma: A systematic review and meta-analysis of observational studies
    Dongjie Shi, Lei Ao, Hua Yu, Juan Li, Yongzhi Xia, Xuedong Wu, Dahai He, Wenjie Zhong, Haijian Xia
    Cancer Epidemiology.2021; 73: 101946.     CrossRef
  • High glucose: an emerging association between diabetes mellitus and cancer progression
    Suangson Supabphol, Wunchana Seubwai, Sopit Wongkham, Charupong Saengboonmee
    Journal of Molecular Medicine.2021; 99(9): 1175.     CrossRef
  • Normalizing glucose levels reconfigures the mammary tumor immune and metabolic microenvironment and decreases metastatic seeding
    Heba Allah M. Alsheikh, Brandon J. Metge, Chae‐Myeong Ha, Dominique C. Hinshaw, Mateus S.V. Mota, Sarah C. Kammerud, Tshering Lama-Sherpa, Noha Sharafeldin, Adam R. Wende, Rajeev S. Samant, Lalita A. Shevde
    Cancer Letters.2021; 517: 24.     CrossRef
  • The prognostic outcome of ‘type 2 diabetes mellitus and breast cancer’ association pivots on hypoxia-hyperglycemia axis
    Ilhaam Ayaz Durrani, Attya Bhatti, Peter John
    Cancer Cell International.2021;[Epub]     CrossRef
  • Insulin-like Growth Factor 2 mRNA-Binding Protein 2—a Potential Link Between Type 2 Diabetes Mellitus and Cancer
    Junguo Cao, Weijia Yan, Xiujian Ma, Haiyan Huang, Hong Yan
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(10): 2807.     CrossRef
  • Fatty acid synthase mediates high glucose‐induced EGFR activation in oral dysplastic keratinocytes
    David J. Wisniewski, Tao Ma, Abraham Schneider
    Journal of Oral Pathology & Medicine.2021; 50(9): 919.     CrossRef
  • Moringa Oleifera Seed Extract Concomitantly Supplemented with Chemotherapy Worsens Tumor Progression in Mice with Triple Negative Breast Cancer and Obesity
    Elizabeth R. M. Zunica, Shengping Yang, Ann Coulter, Christy White, John P. Kirwan, Linda A. Gilmore
    Nutrients.2021; 13(9): 2923.     CrossRef
  • Investigation of Causal Effect of Type 2 Diabetes Mellitus on Lung Cancer: A Mendelian Randomization Study
    Tongtong Hong, Na Qin, Xiaoyu Zhao, Cheng Wang, Yue Jiang, Hongxia Ma, Juncheng Dai
    Frontiers in Genetics.2021;[Epub]     CrossRef
  • Glucose Intolerance and Cancer Risk: A Community-Based Prospective Cohort Study in Shanghai, China
    Juzhong Ke, Tao Lin, Xiaolin Liu, Kang Wu, Xiaonan Ruan, Yibo Ding, Wenbin Liu, Hua Qiu, Xiaojie Tan, Xiaonan Wang, Xi Chen, Zhitao Li, Guangwen Cao
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Hyperglycemic conditions proliferate triple negative breast cancer cells: role of ornithine decarboxylase
    Caleb C. Capellen, Jose Ortega-Rodas, M. Jane Morwitzer, Hadassha M. N. Tofilau, Matthew Dunworth, Robert A. Casero, Surabhi Chandra
    Breast Cancer Research and Treatment.2021; 190(2): 255.     CrossRef
  • Diabetes Mellitus and Obesity as Risk Factors for Bladder Cancer Prognosis: A Systematic Review and Meta-Analysis
    Yu Lu, Jing Tao
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Breast cancer growth and proliferation is suppressed by the mitochondrial targeted furazano[3,4-b]pyrazine BAM15
    Elizabeth R. M. Zunica, Christopher L. Axelrod, Eunhan Cho, Guillaume Spielmann, Gangarao Davuluri, Stephanie J. Alexopoulos, Martina Beretta, Kyle L. Hoehn, Wagner S. Dantas, Krisztian Stadler, William T. King, Kathryn Pergola, Brian A. Irving, Ingeborg
    Cancer & Metabolism.2021;[Epub]     CrossRef
  • How cancer cells remodel lipid metabolism: strategies targeting transcription factors
    Do-Won Jeong, Seulbee Lee, Yang-Sook Chun
    Lipids in Health and Disease.2021;[Epub]     CrossRef
  • Diabetes and Colorectal Cancer Risk: A New Look at Molecular Mechanisms and Potential Role of Novel Antidiabetic Agents
    Jelena Vekic, Aleksandra Zeljkovic, Aleksandra Stefanovic, Rosaria Vincenza Giglio, Marcello Ciaccio, Manfredi Rizzo
    International Journal of Molecular Sciences.2021; 22(22): 12409.     CrossRef
  • Diet and Obesity-Induced Methylglyoxal Production and Links to Metabolic Disease
    Carlos Hernandez-Castillo, Sarah C. Shuck
    Chemical Research in Toxicology.2021; 34(12): 2424.     CrossRef
  • Оцінка прогнозованого ризику онкологічних захворювань у хворих на цукровий діабет 2-го типу
    T.S. Vatseba, L.K. Sokolova, N.M. Koshel
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2021; 17(1): 86.     CrossRef
  • Can novel adipokines, asprosin and meteorin-like, be biomarkers for malignant mesothelioma?
    N. Kocaman, G. Artaş
    Biotechnic & Histochemistry.2020; 95(3): 171.     CrossRef
  • Metformin attenuates adhesion between cancer and endothelial cells in chronic hyperglycemia by recovery of the endothelial glycocalyx barrier
    Marta Targosz-Korecka, Katarzyna Ewa Malek-Zietek, Damian Kloska, Zenon Rajfur, Ewa Łucja Stepien, Anna Grochot-Przeczek, Marek Szymonski
    Biochimica et Biophysica Acta (BBA) - General Subjects.2020; 1864(4): 129533.     CrossRef
  • Mitigation of Glucolipotoxicity-Induced Apoptosis, Mitochondrial Dysfunction, and Metabolic Stress by N-Acetyl Cysteine in Pancreatic β-Cells
    Arwa Alnahdi, Annie John, Haider Raza
    Biomolecules.2020; 10(2): 239.     CrossRef
  • Antitumour Property of Pterocarpus santalinus Seeds Against DMBA-Induced Breast Cancer in Rats
    Vivek Akhouri, Arun Kumar, Manorma Kumari
    Breast Cancer: Basic and Clinical Research.2020;[Epub]     CrossRef
  • Sensitization of hepatocellular carcinoma cells towards doxorubicin and sorafenib is facilitated by glucose-dependent alterations in reactive oxygen species, P-glycoprotein and DKK4
    Surbhi Chouhan, Snahlata Singh, Dipti Athavale, Pranay Ramteke, Muralidharan Vanuopadath, Bipin G Nair, Sudarslal Sadasivan Nair, Manoj Kumar Bhat
    Journal of Biosciences.2020;[Epub]     CrossRef
  • IGF-1 and hyperglycaemia-induced FOXA1 and IGFBP-2 affect epithelial to mesenchymal transition in prostate epithelial cells
    Rehanna Mansor, Jeff Holly, Rachel Barker, Kalina Biernacka, Hanna Zielinska, Anthony Koupparis, Edward Rowe, Jon Oxley, Alex Sewell, Richard M. Martin, Athene Lane, Lucy Hackshaw-McGeagh, Claire Perks
    Oncotarget.2020; 11(26): 2543.     CrossRef
  • Doxorubicin delivery by polymer nanocarrier based on N-methylglucamine resorcinarene
    Tatiana Yu. Sergeeva, Rezeda K. Mukhitova, Leysan R. Bakhtiozina, Irek R. Nizameev, Marsil K. Kadirov, Anastasia S. Sapunova, Alexandra D. Voloshina, Albina Y. Ziganshina, Igor S. Antipin
    Supramolecular Chemistry.2020; 32(2): 150.     CrossRef
  • Counteracting Chemoresistance with Metformin in Breast Cancers: Targeting Cancer Stem Cells
    Samson Mathews Samuel, Elizabeth Varghese, Lenka Koklesová, Alena Líšková, Peter Kubatka, Dietrich Büsselberg
    Cancers.2020; 12(9): 2482.     CrossRef
  • Metformin in breast cancer: preclinical and clinical evidence
    Anindita De, Gowthamarajan Kuppusamy
    Current Problems in Cancer.2020; 44(1): 100488.     CrossRef
  • The Role of Metabolic Factors in Renal Cancers
    Jacek Rysz, Beata Franczyk, Janusz Ławiński, Robert Olszewski, Anna Gluba-Brzózka
    International Journal of Molecular Sciences.2020; 21(19): 7246.     CrossRef
  • Pre-operative dysglycemia is associated with decreased survival in patients with pancreatic neuroendocrine neoplasms
    Marta Sandini, Oliver Strobel, Thomas Hank, Magdalena Lewosinska, Anna Nießen, Thilo Hackert, Markus W. Büchler, Simon Schimmack
    Surgery.2020; 167(3): 575.     CrossRef
  • Recent advances in cancer chemoprevention with phytochemicals
    Yen-Chun Koh, Chi-Tang Ho, Min-Hsiung Pan
    Journal of Food and Drug Analysis.2020; 28(1): 14.     CrossRef
  • NF-κB and STAT3 co-operation enhances high glucose induced aggressiveness of cholangiocarcinoma cells
    Charupong Saengboonmee, Chatchai Phoomak, Suangson Supabphol, Kyle R. Covington, Oliver Hampton, Chaisiri Wongkham, Richard A. Gibbs, Kazuo Umezawa, Wunchana Seubwai, Marie-Claude Gingras, Sopit Wongkham
    Life Sciences.2020; 262: 118548.     CrossRef
  • The Impact of obesity and diabetes mellitus on pancreatic cancer: Molecular mechanisms and clinical perspectives
    Bao Quoc Lam, Sushant K. Shrivastava, Anju Shrivastava, Sharmila Shankar, Rakesh K. Srivastava
    Journal of Cellular and Molecular Medicine.2020; 24(14): 7706.     CrossRef
  • Chronic Diabetes Complications: The Need to Move beyond Classical Concepts
    Dídac Mauricio, Núria Alonso, Mònica Gratacòs
    Trends in Endocrinology & Metabolism.2020; 31(4): 287.     CrossRef
  • O -GlcNAcylation on LATS2 disrupts the Hippo pathway by inhibiting its activity
    Eunah Kim, Jeong Gu Kang, Min Jueng Kang, Jae Hyung Park, Yeon Jung Kim, Tae Hyun Kweon, Han-Woong Lee, Eek‐hoon Jho, Yong-ho Lee, Seung-Il Kim, Eugene C. Yi, Hyun Woo Park, Won Ho Yang, Jin Won Cho
    Proceedings of the National Academy of Sciences.2020; 117(25): 14259.     CrossRef
  • Circulating free methylglyoxal as a metabolic tumor biomarker in a rat colon adenocarcinoma model
    Philippe Irigaray, Dominique Belpomme
    Molecular and Clinical Oncology.2020;[Epub]     CrossRef
  • Therapeutic effect of Aegle marmelos fruit extract against DMBA induced breast cancer in rats
    Vivek Akhouri, Manorma Kumari, Arun Kumar
    Scientific Reports.2020;[Epub]     CrossRef
  • Biomechanical and Biophysical Properties of Breast Cancer Cells Under Varying Glycemic Regimens
    Diganta Dutta, Xavier-Lewis Palmer, Jose Ortega-Rodas, Vasundhara Balraj, Indrani Ghosh Dastider, Surabhi Chandra
    Breast Cancer: Basic and Clinical Research.2020;[Epub]     CrossRef
  • NLRP3 as Putative Marker of Ipilimumab-Induced Cardiotoxicity in the Presence of Hyperglycemia in Estrogen-Responsive and Triple-Negative Breast Cancer Cells
    Vincenzo Quagliariello, Michelino De Laurentiis, Stefania Cocco, Giuseppina Rea, Annamaria Bonelli, Antonietta Caronna, Maria Cristina Lombari, Gabriele Conforti, Massimiliano Berretta, Gerardo Botti, Nicola Maurea
    International Journal of Molecular Sciences.2020; 21(20): 7802.     CrossRef
  • Glucose Concentration in Cell Culture Medium Influences the BRCA1-Mediated Regulation of the Lipogenic Action of IGF-I in Breast Cancer Cells
    Moses O. Koobotse, Dayane Schmidt, Jeff M. P. Holly, Claire M. Perks
    International Journal of Molecular Sciences.2020; 21(22): 8674.     CrossRef
  • Diabetes, Glycated Hemoglobin, and Risk of Cancer in the UK Biobank Study
    Rita Peila, Thomas E. Rohan
    Cancer Epidemiology, Biomarkers & Prevention.2020; 29(6): 1107.     CrossRef
  • ASSOCIATION OF IRISIN WITH THE OXIDANT-ANTI OXIDANT PARAMETERS IN TYPE 2 DIABETIC PATIENTS ACCORDING TO AGE IN THI-QAR PROVINCE/ IRAQ
    Saad H. Al-Badry, Khalid G. Al-Fartoosi
    International Journal of Research in Science and Technology.2020; 10(01): 10.     CrossRef
  • Metabolomic profiling of blood plasma in patients with primary brain tumours: Basal plasma metabolites correlated with tumour grade and plasma biomarker analysis predicts feasibility of the successful statistical discrimination from healthy subjects – a p
    Eva Baranovičová, Tomáš Galanda, Miroslav Galanda, Jozef Hatok, Branislav Kolarovszki, Romana Richterová, Peter Račay
    IUBMB Life.2019; 71(12): 1994.     CrossRef
  • Metformin as an adjuvant in breast cancer treatment
    Mohsin HK Roshan, Yan K Shing, Nikolai P Pace
    SAGE Open Medicine.2019;[Epub]     CrossRef
  • The added value of fasting blood glucose to serum squamous cell carcinoma antigen for predicting oncological outcomes in cervical cancer patients receiving neoadjuvant chemotherapy followed by radical hysterectomy
    Miao‐Fang Wu, Mei‐Mei Guan, Chang‐Hao Liu, Jie‐Ying Wu, Qun‐Xian Rao, Jing Li
    Cancer Medicine.2019; 8(11): 5068.     CrossRef
  • Visit-to-Visit Hemoglobin A1c Variability Is Associated With Later Cancer Development in Patients With Diabetes Mellitus
    Yuki Saito, Hiroshi Noto, Osamu Takahashi, Daiki Kobayashi
    The Cancer Journal.2019; 25(4): 237.     CrossRef
  • O-GlcNAcylation of GLI transcription factors in hyperglycemic conditions augments Hedgehog activity
    Shamik Das, Sarah K. Bailey, Brandon J. Metge, Ann Hanna, Dominique C. Hinshaw, Mateus Mota, Andres Forero-Torres, John C. Chatham, Rajeev S. Samant, Lalita A. Shevde
    Laboratory Investigation.2019; 99(2): 260.     CrossRef
  • Diabetes and Cancer: Cancer Should Be Screened in Routine Diabetes Assessment
    Sunghwan Suh, Kwang-Won Kim
    Diabetes & Metabolism Journal.2019; 43(6): 733.     CrossRef
  • Herbal Medicines Attenuate PD-L1 Expression to Induce Anti-Proliferation in Obesity-Related Cancers
    Yu-Chen S.H. Yang, Zi-Lin Li, Ya-Jung Shih, James A. Bennett, Jaqueline Whang-Peng, Hung-Yun Lin, Paul J. Davis, Kuan Wang
    Nutrients.2019; 11(12): 2979.     CrossRef
  • Gestational diabetes mellitus and maternal breast cancer risk: a meta-analysis of the literature
    Chuanbo Xie, Wei Wang, Xiuhong Li, Nan Shao, Weidong Li
    The Journal of Maternal-Fetal & Neonatal Medicine.2019; 32(6): 1022.     CrossRef
  • HIPK2 role in the tumor–host interaction: Impact on fibroblasts transdifferentiation CAF‐like
    Alessia Garufi, Gianandrea Traversi, Mara Cirone, Gabriella D'Orazi
    IUBMB Life.2019; 71(12): 2055.     CrossRef
  • Blood glucose, glucose balance, and disease-specific survival after prostate cancer diagnosis in the Finnish Randomized Study of Screening for Prostate Cancer
    Teemu J. Murtola, Samueli M. Sälli, Kirsi Talala, Kimmo Taari, Teuvo L. J. Tammela, Anssi Auvinen
    Prostate Cancer and Prostatic Diseases.2019; 22(3): 453.     CrossRef
  • Reduced chemotherapeutic sensitivity in high glucose condition: implication of antioxidant response
    Alessia Garufi, Gianandrea Traversi, Maria Saveria Gilardini Montani, Valerio D’Orazi, Giuseppa Pistritto, Mara Cirone, Gabriella D’Orazi
    Oncotarget.2019; 10(45): 4691.     CrossRef
  • Hyperglycemia Associated Metabolic and Molecular Alterations in Cancer Risk, Progression, Treatment, and Mortality
    Pranay Ramteke, Ankita Deb, Varsha Shepal, Manoj Kumar Bhat
    Cancers.2019; 11(9): 1402.     CrossRef
  • Flaxseed Lignans as Important Dietary Polyphenols for Cancer Prevention and Treatment: Chemistry, Pharmacokinetics, and Molecular Targets
    S. Franklyn De Silva, Jane Alcorn
    Pharmaceuticals.2019; 12(2): 68.     CrossRef
  • Serum gamma-glutamyltransferase and the overall survival of metastatic pancreatic cancer
    Yuanyuan Xiao, Haijun Yang, Jian Lu, Dehui Li, Chuanzhi Xu, Harvey A. Risch
    BMC Cancer.2019;[Epub]     CrossRef
  • N-acetyl cysteine attenuates oxidative stress and glutathione-dependent redox imbalance caused by high glucose/high palmitic acid treatment in pancreatic Rin-5F cells
    Arwa Alnahdi, Annie John, Haider Raza, M. Firoze Khan
    PLOS ONE.2019; 14(12): e0226696.     CrossRef
  • Targeting receptors of advanced glycation end products (RAGE): Preventing diabetes induced cancer and diabetic complications
    Abu Sufiyan Chhipa, Swapnil P. Borse, Ruma Baksi, Sunali Lalotra, Manish Nivsarkar
    Pathology - Research and Practice.2019; 215(11): 152643.     CrossRef
  • Methylglyoxal, a potent inducer of AGEs, connects between diabetes and cancer
    Justine Bellier, Marie-Julie Nokin, Eva Lardé, Philippe Karoyan, Olivier Peulen, Vincent Castronovo, Akeila Bellahcène
    Diabetes Research and Clinical Practice.2019; 148: 200.     CrossRef
  • Molecular Mechanisms of Cancer-Induced Sleep Disruption
    William H. Walker, Jeremy C. Borniger
    International Journal of Molecular Sciences.2019; 20(11): 2780.     CrossRef
  • Addition of zoledronic acid to neoadjuvant chemotherapy is not beneficial in patients with HER2-negative stage II/III breast cancer: 5-year survival analysis of the NEOZOTAC trial (BOOG 2010-01)
    Stefanie de Groot, Hanno Pijl, Ayoub Charehbili, Saskia van de Ven, Vincent T. H. B. M. Smit, Elma Meershoek-Klein Kranenbarg, Joan B. Heijns, Laurence J. C. van Warmerdam, Lonneke W. Kessels, M. Wouter Dercksen, Manon J. A. E. Pepels, Hanneke W. M. van L
    Breast Cancer Research.2019;[Epub]     CrossRef
  • Assessing the Effect of Various Blood Glucose Levels on 18F-FDG Activity in the Brain, Liver, and Blood Pool
    Ismet Sarikaya, Ali Sarikaya, Prem Sharma
    Journal of Nuclear Medicine Technology.2019; 47(4): 313.     CrossRef
  • Efficacy of Complementary Therapies in the Quality of Life of Breast Cancer Survivors
    Sahar Zaidi, Showket Hussain, Shalini Verma, Zubia Veqar, Asiya Khan, Sheeraz Un Nazir, Neha Singh, Jamal Ali Moiz, Pranay Tanwar, Anurag Srivastava, G. K. Rath, Ravi Mehrotra
    Frontiers in Oncology.2018;[Epub]     CrossRef
  • A Role for Hypocretin/Orexin in Metabolic and Sleep Abnormalities in a Mouse Model of Non-metastatic Breast Cancer
    Jeremy C. Borniger, William H. Walker II, Surbhi, Kathryn M. Emmer, Ning Zhang, Abigail A. Zalenski, Stevie L. Muscarella, Julie A. Fitzgerald, Alexandra N. Smith, Cornelius J. Braam, Tial TinKai, Ulysses J. Magalang, Maryam B. Lustberg, Randy J. Nelson,
    Cell Metabolism.2018; 28(1): 118.     CrossRef
  • Model-based in silico analysis of the PI3K/Akt pathway: the elucidation of cross-talk between diabetes and breast cancer
    Sammia Rehman, Ayesha Obaid, Anam Naz, Amjad Ali, Shahzina Kanwal, Jamil Ahmad
    PeerJ.2018; 6: e5917.     CrossRef
  • Inhibitory Effect of Anoectochilus formosanus Extract on Hyperglycemia-Related PD-L1 Expression and Cancer Proliferation
    Yih Ho, Yan-Fang Chen, Li-Hsuan Wang, Kuang-Yang Hsu, Yu-Tang Chin, Yu-Chen S. H. Yang, Shwu-Huey Wang, Yi-Ru Chen, Ya-Jung Shih, Leroy F. Liu, Kuan Wang, Jacqueline Whang-Peng, Heng-Yuan Tang, Hung-Yun Lin, Hsuan-Liang Liu, Shwu-Jiuan Lin
    Frontiers in Pharmacology.2018;[Epub]     CrossRef
  • Hypoxia driven glycation: Mechanisms and therapeutic opportunities
    Mohammad Imran Khan, Suvasmita Rath, Vaqar Mustafa Adhami, Hasan Mukhtar
    Seminars in Cancer Biology.2018; 49: 75.     CrossRef
  • Metformin reduces glucose intolerance caused by rapamycin treatment in genetically heterogeneous female mice
    Roxanne Weiss, Elizabeth Fernandez, Yuhong Liu, Randy Strong, Adam B. Salmon
    Aging.2018; 10(3): 386.     CrossRef
  • High glucose induces epithelial‑mesenchymal transition and results in the migration and invasion of colorectal cancer cells
    Jiayan Wu, Jiayi Chen, Yang Xi, Fuyan Wang, Hongcun Sha, Lin Luo, Yabin Zhu, Xiaoming Hong, Shizhong Bu
    Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
  • Laminar shear stress inhibits high glucose-induced migration and invasion in human bladder cancer cells
    Yu-Hsiang Lee, Chien-Hsuan Yeh
    In Vitro Cellular & Developmental Biology - Animal.2018; 54(2): 120.     CrossRef
  • Methylglyoxal-derived stress: An emerging biological factor involved in the onset and progression of cancer
    Akeila Bellahcène, Marie-Julie Nokin, Vincent Castronovo, Casper Schalkwijk
    Seminars in Cancer Biology.2018; 49: 64.     CrossRef
  • Extracellular matrix glycation and receptor for advanced glycation end-products activation: a missing piece in the puzzle of the association between diabetes and cancer
    Armando Rojas, Carolina Añazco, Ileana González, Paulina Araya
    Carcinogenesis.2018; 39(4): 515.     CrossRef
  • Good glycaemic control is associated with a better prognosis in breast cancer patients with type 2 diabetes mellitus
    Yen-Lin Chang, Wayne Huey-Herng Sheu, Shih-Yi Lin, Wen-Shyong Liou
    Clinical and Experimental Medicine.2018; 18(3): 383.     CrossRef
  • High glucose contributes to the proliferation and migration of non-small-cell lung cancer cells via GAS5-TRIB3 axis
    Cheng-Zhi Ding, Xu-Feng Guo, Guo-Lei Wang, Hong-Tao Wang, Guang-Hui Xu, Yuan-Yuan Liu, Zhen-Jiang Wu, Yu-Hang Chen, Jiao Wang, Wen-Guang Wang
    Bioscience Reports.2018;[Epub]     CrossRef
  • Challenges and perspectives in the treatment of diabetes associated breast cancer
    Samson Mathews Samuel, Elizabeth Varghese, Sharon Varghese, Dietrich Büsselberg
    Cancer Treatment Reviews.2018; 70: 98.     CrossRef
  • Linking type 2 diabetes and gynecological cancer: an introductory overview
    Emanuela Anastasi, Tiziana Filardi, Sara Tartaglione, Andrea Lenzi, Antonio Angeloni, Susanna Morano
    Clinical Chemistry and Laboratory Medicine (CCLM).2018; 56(9): 1413.     CrossRef
  • Hyperglycaemia and Survival in Solid Tumours: A Systematic Review and Meta-analysis
    R. Barua, A.J. Templeton, B. Seruga, A. Ocana, E. Amir, J.-L. Ethier
    Clinical Oncology.2018; 30(4): 215.     CrossRef
  • Hepatocellular carcinoma-associated hypercholesterolemia: involvement of proprotein-convertase-subtilisin-kexin type-9 (PCSK9)
    Dipti Athavale, Surbhi Chouhan, Vimal Pandey, Shyamananda Singh Mayengbam, Snahlata Singh, Manoj Kumar Bhat
    Cancer & Metabolism.2018;[Epub]     CrossRef
  • An insight on the association of glycation with hepatocellular carcinoma
    Nasimudeen R. Jabir, Saheem Ahmad, Shams Tabrez
    Seminars in Cancer Biology.2018; 49: 56.     CrossRef
  • Risk score system for the prediction of hepatocellular carcinoma in patients with type 2 diabetes: Taiwan Diabetes Study
    Tsai-Chung Li, Chia-Ing Li, Chiu-Shong Liu, Wen-Yuan Lin, Chih-Hsueh Lin, Sing-Yu Yang, Cheng-Chieh Lin
    Seminars in Oncology.2018; 45(5-6): 264.     CrossRef
  • RAGE and Its Ligands: Molecular Interplay Between Glycation, Inflammation, and Hallmarks of Cancer—a Review
    Gowri Palanissami, Solomon F. D. Paul
    Hormones and Cancer.2018; 9(5): 295.     CrossRef
  • Beta-hydroxybutyrate (3-OHB) can influence the energetic phenotype of breast cancer cells, but does not impact their proliferation and the response to chemotherapy or radiation
    Catharina Bartmann, Sudha R. Janaki Raman, Jessica Flöter, Almut Schulze, Katrin Bahlke, Jana Willingstorfer, Maria Strunz, Achim Wöckel, Rainer J. Klement, Michaela Kapp, Cholpon S. Djuzenova, Christoph Otto, Ulrike Kämmerer
    Cancer & Metabolism.2018;[Epub]     CrossRef
  • Obesity, Diabetes and Gastrointestinal Malignancy: The role of Metformin and other Anti-diabetic Therapy
    McFarlane Samy I
    Global Journal of Obesity, Diabetes and Metabolic Syndrome.2018; : 008.     CrossRef
  • Pretreatment glycemic control status is an independent prognostic factor for cervical cancer patients receiving neoadjuvant chemotherapy for locally advanced disease
    Jing Li, Ni-ya Ning, Qun-xian Rao, Rong Chen, Li-juan Wang, Zhong-qiu Lin
    BMC Cancer.2017;[Epub]     CrossRef
  • Differences in risk factors of malignancy between men and women with type 2 diabetes: A retrospective case-control study
    Mariusz Dąbrowski, Elektra Szymańska-Garbacz, Zofia Miszczyszyn, Tadeusz Dereziński, Leszek Czupryniak
    Oncotarget.2017; 8(40): 66940.     CrossRef
  • Beta-glucans and cancer: The influence of inflammation and gut peptide
    Sara Baldassano, Giulia Accardi, Sonya Vasto
    European Journal of Medicinal Chemistry.2017; 142: 486.     CrossRef
  • Enemies or weapons in hands: investigational anti-diabetic drug glibenclamide and cancer risk
    Rui Gao, Tao Yang, Wei Xu
    Expert Opinion on Investigational Drugs.2017; 26(7): 853.     CrossRef
  • Hyperglycemia triggers HIPK2 protein degradation
    Silvia Baldari, Alessia Garufi, Marisa Granato, Laura Cuomo, Giuseppa Pistritto, Mara Cirone, Gabriella D’Orazi
    Oncotarget.2017; 8(1): 1190.     CrossRef
  • Monitoring p53 by MDM2 and MDMX is required for endocrine pancreas development and function in a spatio-temporal manner
    Yiwei Zhang, Shelya X. Zeng, Qian Hao, Hua Lu
    Developmental Biology.2017; 423(1): 34.     CrossRef
  • Modulation of Mammary Stromal Cell Lactate Dynamics by Ambient Glucose and Epithelial Factors
    Nicolas Tobar, Omar Porras, Patricio C. Smith, L. Felipe Barros, Jorge Martínez
    Journal of Cellular Physiology.2017; 232(1): 136.     CrossRef
  • Energy metabolism in glioblastoma stem cells: PPARα a metabolic adaptor to intratumoral microenvironment
    Alessia Fidoamore, Loredana Cristiano, Chiara Laezza, Renato Galzio, Elisabetta Benedetti, Benedetta Cinque, Andrea Antonosante, Michele d’Angelo, Vanessa Castelli, Maria Grazia Cifone, Rodolfo Ippoliti, Antonio Giordano, Annamaria Cimini
    Oncotarget.2017; 8(65): 108430.     CrossRef
  • Hyperglycemia is Associated with Poor Survival in Primary Central Nervous System Lymphoma Patients
    Ayumi Debata, Koichi Yoshida, Kenta Ujifuku, Haruna Yasui, Kensaku Kamada, Daisuke Niino, Takayuki Matsuo
    Tumori Journal.2017; 103(3): 272.     CrossRef
  • Micronucleus, cell-free DNA, and plasma glycan composition in the newborns of healthy and diabetic mothers
    Aleksandra Fucic, Vedrana Guszak, Toma Keser, Jasenka Wagner, Emilja Juretić, Davor Plavec, Ranko Stojković, Olga Gornik, Gordan Lauc
    Mutation Research/Genetic Toxicology and Environmental Mutagenesis.2017; 815: 6.     CrossRef
  • Hyperglycemia exacerbates colon cancer malignancy through hexosamine biosynthetic pathway
    A Vasconcelos-dos-Santos, H F B R Loponte, N R Mantuano, I A Oliveira, I F de Paula, L K Teixeira, J C M de-Freitas-Junior, K C Gondim, N Heise, R Mohana-Borges, J A Morgado-Díaz, W B Dias, A R Todeschini
    Oncogenesis.2017; 6(3): e306.     CrossRef
  • Associations between prediagnostic blood glucose levels, diabetes, and glioma
    Judith Schwartzbaum, Michael Edlinger, Victoria Zigmont, Pär Stattin, Grzegorz A. Rempala, Gabriele Nagel, Niklas Hammar, Hanno Ulmer, Bernhard Föger, Göran Walldius, Jonas Manjer, Håkan Malmström, Maria Feychting
    Scientific Reports.2017;[Epub]     CrossRef
  • Gestational diabetes mellitus may be associated with increased risk of breast cancer
    Yong-Moon Mark Park, Katie M O'Brien, Shanshan Zhao, Clarice R Weinberg, Donna D Baird, Dale P Sandler
    British Journal of Cancer.2017; 116(7): 960.     CrossRef
  • The transcription factor carbohydrate-response element-binding protein (ChREBP): A possible link between metabolic disease and cancer
    Katsumi Iizuka
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2017; 1863(2): 474.     CrossRef
  • The essential role of YAP O-GlcNAcylation in high-glucose-stimulated liver tumorigenesis
    Xiao Zhang, Yongxia Qiao, Qi Wu, Yan Chen, Shaowu Zou, Xiangfan Liu, Guoqing Zhu, Yinghui Zhao, Yuxin Chen, Yongchun Yu, Qiuhui Pan, Jiayi Wang, Fenyong Sun
    Nature Communications.2017;[Epub]     CrossRef
  • Anthocyanins from Purple Corn Ameliorated Tumor Necrosis Factor‐α‐Induced Inflammation and Insulin Resistance in 3T3‐L1 Adipocytes via Activation of Insulin Signaling and Enhanced GLUT4 Translocation
    Diego Luna‐Vital, Matthew Weiss, Elvira Gonzalez de Mejia
    Molecular Nutrition & Food Research.2017;[Epub]     CrossRef
  • Hyperglycaemia and aberrated insulin signalling stimulate tumour progression via induction of the extracellular matrix component hyaluronan
    Sören Twarock, Christina Reichert, Ulrike Peters, Daniel J. Gorski, Katharina Röck, Jens W. Fischer
    International Journal of Cancer.2017; 141(4): 791.     CrossRef
  • Das Karzinom in der Polarität zwischen Stoffwechsel- und Nerven-Sinnes-System – Konsequenzen für die Therapie
    H. Schramm
    Der Merkurstab.2017; 70(3): 221.     CrossRef
  • Addressing the Role of Obesity in Endometrial Cancer Risk, Prevention, and Treatment
    Michaela A. Onstad, Rosemarie E. Schmandt, Karen H. Lu
    Journal of Clinical Oncology.2016; 34(35): 4225.     CrossRef
  • Mechanisms through which diabetes mellitus influences renal cell carcinoma development and treatment: A review of the literature
    Dominika Labochka, Barbara Moszczuk, Wojciech Kukwa, Cezary Szczylik, Anna M. Czarnecka
    International Journal of Molecular Medicine.2016; 38(6): 1887.     CrossRef
  • Cancer Risk in Patients With Empyema
    Chung-Jen Teng, Yu-Wen Hu, Chiu-Mei Yeh, Tzeng-Ji Chen, Chia-Jen Liu
    Medicine.2016; 95(9): e2934.     CrossRef
  • High Glucose Stimulates Tumorigenesis in Hepatocellular Carcinoma Cells Through AGER-Dependent O-GlcNAcylation of c-Jun
    Yongxia Qiao, Xiao Zhang, Yue Zhang, Yulan Wang, Yanfeng Xu, Xiangfan Liu, Fenyong Sun, Jiayi Wang
    Diabetes.2016; 65(3): 619.     CrossRef
  • Association between baseline serum glucose, triglycerides and total cholesterol, and prostate cancer risk categories
    Rhonda Arthur, Henrik Møller, Hans Garmo, Lars Holmberg, Pår Stattin, Håkan Malmstrom, Mats Lambe, Niklas Hammar, Göran Walldius, David Robinson, Ingmar Jungner, Mieke Van Hemelrijck
    Cancer Medicine.2016; 5(6): 1307.     CrossRef
  • Risk factors for cancer development in type 2 diabetes: A retrospective case-control study
    Mariusz Dąbrowski, Elektra Szymańska-Garbacz, Zofia Miszczyszyn, Tadeusz Dereziński, Leszek Czupryniak
    BMC Cancer.2016;[Epub]     CrossRef
  • High-fat Western diet–induced obesity contributes to increased tumor growth in mouse models of human colon cancer
    Ann Marie O'Neill, Christine M. Burrington, Erin A. Gillaspie, Darin T. Lynch, Melissa J. Horsman, Michael W. Greene
    Nutrition Research.2016; 36(12): 1325.     CrossRef
  • Diabetes Pharmacotherapies and Bladder Cancer: A Medicare Epidemiologic Study
    Todd A. Mackenzie, Rebecca Zaha, Jeremy Smith, Margaret R. Karagas, Nancy E. Morden
    Diabetes Therapy.2016; 7(1): 61.     CrossRef
  • Diabetes mellitus stimulates pancreatic cancer growth and epithelial-mesenchymal transition-mediated metastasis via a p38 MAPK pathway
    Lishan Wang, Ying-Ying Bai, Yang Yang, Fangfang Hu, Yonghui Wang, Zeqian Yu, Zhangjun Cheng, Jiahua Zhou
    Oncotarget.2016; 7(25): 38539.     CrossRef
  • Prognostic Significance of Hyperglycemia in Patients with Brain Tumors: a Meta-Analysis
    Hongwei Liu, Zhixiong Liu, Bing Jiang, Xiping Ding, Lei Huo, Xin Wan, Jinfang Liu, Zhenyun Xia
    Molecular Neurobiology.2016; 53(3): 1654.     CrossRef
  • Impact of Hyperglycemia on Outcomes among Patients Receiving Neoadjuvant Chemotherapy for Bulky Early Stage Cervical Cancer
    Jing Li, Miao-fang Wu, Huai-wu Lu, Bing-zhong Zhang, Li-juan Wang, Zhong-qiu Lin, Xing Xie
    PLOS ONE.2016; 11(11): e0166612.     CrossRef
  • Obesity, Inflammation, and Cancer
    Tuo Deng, Christopher J. Lyon, Stephen Bergin, Michael A. Caligiuri, Willa A. Hsueh
    Annual Review of Pathology: Mechanisms of Disease.2016; 11(1): 421.     CrossRef
  • Hyperglycemia, tumorigenesis, and chronic inflammation
    Shu-Chun Chang, Wei-Chung Vivian Yang
    Critical Reviews in Oncology/Hematology.2016; 108: 146.     CrossRef
  • Methylglyoxal, a glycolysis side-product, induces Hsp90 glycation and YAP-mediated tumor growth and metastasis
    Marie-Julie Nokin, Florence Durieux, Paul Peixoto, Barbara Chiavarina, Olivier Peulen, Arnaud Blomme, Andrei Turtoi, Brunella Costanza, Nicolas Smargiasso, Dominique Baiwir, Jean L Scheijen, Casper G Schalkwijk, Justine Leenders, Pascal De Tullio, Elettra
    eLife.2016;[Epub]     CrossRef
  • ZnCl2 sustains the adriamycin-induced cell death inhibited by high glucose
    A Garufi, D Trisciuoglio, M Cirone, G D'Orazi
    Cell Death & Disease.2016; 7(6): e2280.     CrossRef
  • Controlling Malglycemia in Patients Undergoing Treatment for Cancer
    Susan Storey, Veronica Brady, Ashley Leak Bryant, Ellen Davis, Marilyn Hammer, Denise Hershey, Jill Olausson, Jane Seley
    Clinical Journal of Oncology Nursing.2016; 20(1): 92.     CrossRef
  • Metformin, Diabetes, and Survival among U.S. Veterans with Colorectal Cancer
    Jessica K. Paulus, Christina D. Williams, Furha I. Cossor, Michael J. Kelley, Robert E. Martell
    Cancer Epidemiology, Biomarkers & Prevention.2016; 25(10): 1418.     CrossRef
  • Thymic emigration patterns in patients with type 2 diabetes treated with metformin
    Grzegorz Dworacki, Olzhas Urazayev, Yerbol Bekmukhambetov, Saule Iskakova, Bartosz A. Frycz, Paweł P. Jagodziński, Marzena Dworacka
    Immunology.2015; 146(3): 456.     CrossRef
  • Resveratrol in the treatment of pancreatic cancer
    Qinhong Xu, Liang Zong, Xin Chen, Zhengdong Jiang, Ligang Nan, Jiahui Li, Wanxing Duan, Jianjun Lei, Lun Zhang, Jiguang Ma, Xuqi Li, Zheng Wang, Zheng Wu, Qingyong Ma, Zhenhua Ma
    Annals of the New York Academy of Sciences.2015; 1348(1): 10.     CrossRef
  • Effect of hyperglycemia on hepatocellular carcinoma development in diabetes
    Yasuhiro Niwa, Kota Ishikawa, Masatoshi Ishigami, Takashi Honda, Koichi Achiwa, Takako Izumoto, Ryuya Maekawa, Kaori Hosokawa, Atsushi Iida, Yusuke Seino, Yoji Hamada, Hidemi Goto, Yutaka Oiso, Hiroshi Arima, Shin Tsunekawa
    Biochemical and Biophysical Research Communications.2015; 463(3): 344.     CrossRef
  • The insulin-like growth factor I system: Physiological and pathophysiological implication in cardiovascular diseases associated with metabolic syndrome
    Jun Ren, Piero Anversa
    Biochemical Pharmacology.2015; 93(4): 409.     CrossRef
  • Diabetes and risk of cancer
    Toshiya Atsumi
    Diabetology International.2015; 6(3): 190.     CrossRef
  • The influencing factors associated with glycemic control among adult diabetes patients
    Kisook Kim
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(5): 3284.     CrossRef
  • Reply to “Preoperative Evaluation of Pancreatic Adenocarcinoma”
    Siva P. Raman
    American Journal of Roentgenology.2015; 205(2): W226.     CrossRef
New Perspectives on Diabetic Vascular Complications: The Loss of Endogenous Protective Factors Induced by Hyperglycemia
In-Kyung Jeong, George L. King
Diabetes Metab J. 2011;35(1):8-11.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.8
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AbstractAbstract PDFPubReader   

Diabetic vascular complications are among the leading causes of morbidity and mortality in diabetic patients. In the past, many studies have focused on the mechanisms of hyperglycemia-induced chronic vascular complications via the formation of toxic metabolites such as oxidative stress, advanced glycosylated end products, persistent activation of protein kinase C, and increased sorbitol concentrations. However, vascular complications result from imbalances caused by increases in systemic toxic metabolites, such as those that occur under conditions of hyperglycemia and dyslipidemia, and by reductions in endogenous protective factors such as insulin, vascular endothelial growth factor, and platelet derived growth factor. This review outlines some of the evidence supporting the importance of enhancing endogenous regenerative factors.

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  • Ginkgo biloba extracts protect human retinal Müller glial cells from t-BHP induced oxidative damage by activating the AMPK-Nrf2-NQO-1 axis
    Yue Li, Ke Wang, Xue Zhu, Zhengqi Cheng, Ling Zhu, Michael Murray, Fanfan Zhou
    Journal of Pharmacy and Pharmacology.2023; 75(3): 385.     CrossRef
  • Role of platelet-derived growth factor c on endothelial dysfunction in cardiovascular diseases
    Adriana Grismaldo, Luis Sobrevia, Ludis Morales
    Biochimica et Biophysica Acta (BBA) - General Subjects.2022; 1866(10): 130188.     CrossRef
  • Organic Isothiocyanates as Hydrogen Sulfide Donors
    Alma Martelli, Valentina Citi, Lara Testai, Simone Brogi, Vincenzo Calderone
    Antioxidants & Redox Signaling.2020; 32(2): 110.     CrossRef
  • PGC‐1α, a potential therapeutic target against kidney aging
    Gayoung Lee, Md Jamal Uddin, Yoojeong Kim, Minji Ko, Inyoung Yu, Hunjoo Ha
    Aging Cell.2019;[Epub]     CrossRef
  • Glucometabolic characteristics and higher vascular complication risk in Korean patients with type 2 diabetes with non-albumin proteinuria
    Yongin Cho, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-wan Lee
    Journal of Diabetes and its Complications.2019; 33(8): 585.     CrossRef
  • Ameliorative effects of taurine against diabetes: a review
    Inam-u-llah, Fengyuan Piao, Rana Muhammad Aadil, Raheel Suleman, Kaixin Li, Mengren Zhang, Pingan Wu, Muhammad Shahbaz, Zulfiqar Ahmed
    Amino Acids.2018; 50(5): 487.     CrossRef
  • Notoginsenoside Fc attenuates high glucose-induced vascular endothelial cell injury via upregulation of PPAR-γ in diabetic Sprague–Dawley rats
    Jingjing Liu, Chunyu Jiang, Xu Ma, Jianbo Wang
    Vascular Pharmacology.2018; 109: 27.     CrossRef
  • Grape seed proanthocyanidin extract protects the retina against early diabetic injury by activating the Nrf2 pathway
    YAN SUN, CAIMEI XIU, WEI LIU, YUAN TAO, JIANRONG WANG, YI QU
    Experimental and Therapeutic Medicine.2016; 11(4): 1253.     CrossRef
  • Hydrogen peroxide prevents vascular calcification induced ROS production by regulating Nrf-2 pathway
    Wensong Zhang, Yi Li, Hanlu Ding, Yaqin Du, Li Wang
    Renal Failure.2016; 38(7): 1099.     CrossRef
  • TNFSF15 Inhibits Blood Retinal Barrier Breakdown Induced by Diabetes
    Feng Jiang, Qingzhong Chen, Liming Huang, Ying Wang, Zhuhong Zhang, Xiangda Meng, Yuanyuan Liu, Chunjie Mao, Fang Zheng, Jingkai Zhang, Hua Yan
    International Journal of Molecular Sciences.2016; 17(5): 615.     CrossRef
  • Effect of Triflusal on Primary Vascular Dysregulation Compared with Aspirin: A Double-Blind, Randomized, Crossover Trial
    Sanghoon Shin, Kwang-Joon Kim, In-Jeong Cho, Geu-Ru Hong, Yangsoo Jang, Namsik Chung, Young Min Rah, Hyuk-Jae Chang
    Yonsei Medical Journal.2015; 56(5): 1227.     CrossRef
  • NRF2 plays a protective role in diabetic retinopathy in mice
    Zhenhua Xu, Yanhong Wei, Junsong Gong, Hongkwan Cho, James K. Park, Ee-Rah Sung, Hu Huang, Lijuan Wu, Charles Eberhart, James T. Handa, Yunpeng Du, Timothy S. Kern, Rajesh Thimmulappa, Alistair J. Barber, Shyam Biswal, Elia J. Duh
    Diabetologia.2014; 57(1): 204.     CrossRef
  • Inhibition of JNK by compound C66 prevents pathological changes of the aorta in STZ‐induced diabetes
    Yucheng Liu, Yonggang Wang, Xiao Miao, Shanshan Zhou, Yi Tan, Guang Liang, Yang Zheng, Quan Liu, Jian Sun, Lu Cai
    Journal of Cellular and Molecular Medicine.2014; 18(6): 1203.     CrossRef
  • Sulforaphane Attenuation of Type 2 Diabetes-Induced Aortic Damage Was Associated with the Upregulation of Nrf2 Expression and Function
    Yonggang Wang, Zhiguo Zhang, Wanqing Sun, Yi Tan, Yucheng Liu, Yang Zheng, Quan Liu, Lu Cai, Jian Sun
    Oxidative Medicine and Cellular Longevity.2014; 2014: 1.     CrossRef
  • Therapeutic Effect of MG132 on the Aortic Oxidative Damage and Inflammatory Response in OVE26 Type 1 Diabetic Mice
    Xiao Miao, Wenpeng Cui, Weixia Sun, Ying Xin, Bo Wang, Yi Tan, Lu Cai, Lining Miao, Yaowen Fu, Guanfang Su, Yuehui Wang
    Oxidative Medicine and Cellular Longevity.2013; 2013: 1.     CrossRef
  • Risk Factors for the Progression of Intima-Media Thickness of Carotid Arteries: A 2-Year Follow-Up Study in Patients with Newly Diagnosed Type 2 Diabetes
    Sang Ouk Chin, Jin Kyung Hwang, Sang Youl Rhee, Suk Chon, You-Cheol Hwang, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung-Woon Kim, Young Seol Kim, Ja-Heon Kang, In-Kyung Jeong
    Diabetes & Metabolism Journal.2013; 37(5): 365.     CrossRef
  • Downregulation of Nrf2 and HO-1 expression contributes to oxidative stress in type 2 diabetes mellitus: A study in Juana Koslay City, San Luis, Argentina
    Susana Siewert, Irma González, Lucas Santillán, Roberto Lucero, Marta S. Ojeda, María S. Gimenez
    Journal of Diabetes Mellitus.2013; 03(02): 71.     CrossRef
  • The effect of oral prostaglandin analogue on painful diabetic neuropathy: a double‐blind, randomized, controlled trial
    S. Shin, K. J. Kim, H. ‐J. Chang, B. ‐W. Lee, W. ‐I. Yang, B. ‐S. Cha, D. Choi
    Diabetes, Obesity and Metabolism.2013; 15(2): 185.     CrossRef
  • Areca nut procyanidins ameliorate streptozocin-induced hyperglycemia by regulating gluconeogenesis
    Pei-Ling Huang, Chin-Wen Chi, Tsung-Yun Liu
    Food and Chemical Toxicology.2013; 55: 137.     CrossRef
  • Serum glycated albumin predicts the progression of carotid arterial atherosclerosis
    Sun Ok Song, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Atherosclerosis.2012; 225(2): 450.     CrossRef
  • Sulforaphane prevention of diabetes-induced aortic damage was associated with the up-regulation of Nrf2 and its down-stream antioxidants
    Xiao Miao, Yang Bai, Weixia Sun, Wenpeng Cui, Ying Xin, Yuehui Wang, Yi Tan, Lining Miao, Yaowen Fu, Guanfang Su, Lu Cai
    Nutrition & Metabolism.2012;[Epub]     CrossRef
  • Association between EPCs count and rate of coronary revascularization in asymptomatic type 2 diabetic patients
    Hyun Min Kim, Kwang Joon Kim, Jae Hoon Moon, Hye-Jeong Lee, Min Kyung Chae, Hyuk-Jae Chang, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee, Young Jin Kim, Byung-Wan Lee
    Acta Diabetologica.2012; 49(6): 413.     CrossRef
  • Taurine ameliorates hyperglycemia and dyslipidemia by reducing insulin resistance and leptin level in Otsuka Long-Evans Tokushima fatty (OLETF) rats with long-term diabetes
    Kyoung Soo Kim, Da Hee Oh, Jung Yeon Kim, Bong Gn Lee, Jeong Soon You, Kyung Ja Chang, Hyunju Chung, Myung Chul Yoo, Hyung-In Yang, Ja-Heon Kang, Yoo Chul Hwang, Kue Jeong Ahn, Ho-Yeon Chung, In-Kyung Jeong
    Experimental & Molecular Medicine.2012; 44(11): 665.     CrossRef
  • Inhibition of NF-κB prevents high glucose-induced proliferation and plasminogen activator inhibitor-1 expression in vascular smooth muscle cells
    In-Kyung Jeong, Da Hee Oh, Seung-Joon Park, Ja-Heon Kang, Sunshin Kim, Myung-Shik Lee, Myung-Jun Kim, Yoo-Chul Hwang, Kyu Jeong Ahn, Ho-Yeon Chung, Min-Kyung Chae, Hyung-Joon Yoo
    Experimental and Molecular Medicine.2011; 43(12): 684.     CrossRef
Original Articles
The Association of Brachial-Ankle Pulse Wave Velocity with 30-Minute Post-Challenge Plasma Glucose Levels in Korean Adults with No History of Type 2 Diabetes
Eun-Suk Choi, Eun-Jung Rhee, Ji-Hoon Choi, Ji-Cheol Bae, Seung-Hyun Yoo, Won-Jun Kim, Se-Eun Park, Cheol-Young Park, Won-Young Lee, Yong-Kyun Cho, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim
Korean Diabetes J. 2010;34(5):287-293.   Published online October 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.5.287
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AbstractAbstract PDFPubReader   
Background

Acute postprandial hyperglycemia is an important affector for atherosclerosis in subjects with glucose intolerance. We analyzed the relationship of brachial-ankle pulse wave velocity (baPWV) with fasting and post-challenge plasma glucose levels according to different time points during oral glucose tolerance test (OGTT).

Methods

In 663 subjects with fasting hyperglycemia, 75 g OGTT were performed to confirm the glucose tolerant status, and fasting, post-challenge 30-minute and 120-minute glucose levels were measured. Anthropometric measurements were done, and fasting lipid profiles were measured. baPWV were measured in all subjects and the relationship between fasting, 30- and 120-minute post-challenge glucose levels and baPWV were analyzed.

Results

Among the participants, 62.9% were prediabetes and 31.7% were diabetes. Mean baPWV value was significantly higher in subjects with diabetes compared with prediabetes group. In bivariate correlation analyses, age, blood pressure, total cholesterol, low density lipoprotein cholesterol, 30-minute and 120-minute post-challenge glucose levels showed significant positive correlation with baPWV value. In multiple regression analysis, 30-minute post-challenge glucose level was a weak but significant determinant for mean baPWV value even after adjustment for other confounding variables.

Conclusions

Postprandial hyperglycemia, especially 30-minute glucose levels showed significant correlation with baPWV in subjects with fasting hyperglycemia. These results can imply the deleterious effect of acute hyperglycemic excursion on arterial stiffness in subjects with glucose intolerance.

Citations

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  • One-Hour Post-Load Plasma Glucose Levels are Associated with Early Arterial Stiffness in Subjects with Different Glucose Tolerance
    Rui Wang, Xiao-li Liu, Xiao-jiao Jia, Yan Liu, Qiang Lu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1537.     CrossRef
  • The Temporal Pattern of Arterial Stiffness during Aging: A Large-Scale Cross-Sectional Study
    Zhengli Tang, Yuanyuan Lu, Yiming Hao, Robert Morris, Di Kang, Fang Wang, Lin Fan, Weijian Wang, Yiqin Wang, Feng Cheng, Gaetano Santulli
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
  • Newly diagnosed abnormal glucose tolerance determines post-MI prognosis in patients with hospital related hyperglycaemia but without known diabetes
    Sudipta Chattopadhyay, Anish George, Joseph John, Thozhukat Sathyapalan
    Journal of Diabetes and its Complications.2020; 34(4): 107518.     CrossRef
  • The effect of oral glucose tolerance testing on changes in arterial stiffness and blood pressure in elderly women with hypertension and relationships between the stage of diabetes and physical fitness levels
    Jaesong Lee, Wonil Park, Eunsook Sung, Bokbeom Kim, Nahyun Kim, Saejong Park, Chulho Shin, Jonghoon Park
    Physical Activity and Nutrition.2020; 24(4): 34.     CrossRef
  • Two-hour post-challenge glucose is a better predictor of adverse outcome after myocardial infarction than fasting or admission glucose in patients without diabetes
    Sudipta Chattopadhyay, Anish George, Joseph John, Thozhukat Sathyapalan
    Acta Diabetologica.2018; 55(5): 449.     CrossRef
  • Adjustment of the GRACE score by 2-hour post-load glucose improves prediction of long-term major adverse cardiac events in acute coronary syndrome in patients without known diabetes
    Sudipta Chattopadhyay, Anish George, Joseph John, Thozhukat Sathyapalan
    European Heart Journal.2018; 39(29): 2740.     CrossRef
  • Investigating the Effect of Glucose on Aortic Pulse Wave Velocity Using Pancreatic Clamping Methodology
    Houry Puzantian, Karen Teff, Raymond R. Townsend
    Biological Research For Nursing.2015; 17(3): 270.     CrossRef
  • Association between the Postprandial Glucose Levels and Arterial Stiffness Measured According to the Cardio-ankle Vascular Index in Non-diabetic Subjects
    Atsuko Tsuboi, Chikako Ito, Rumi Fujikawa, Hideya Yamamoto, Yasuki Kihara
    Internal Medicine.2015; 54(16): 1961.     CrossRef
  • Insulin Sensitivity and Beta-Cell Function Are Associated with Arterial Stiffness in Individuals without Hypertension
    Chuchen Meng, Min Sun, Zhixiao Wang, Qi Fu, Mengdie Cao, Zhenxin Zhu, Jia Mao, Yun Shi, Wei Tang, Xiaoping Huang, Yu Duan, Tao Yang
    Journal of Diabetes Research.2013; 2013: 1.     CrossRef
  • Urinary adiponectin concentration is positively associated with micro- and macro-vascular complications
    Won Seon Jeon, Ji Woo Park, Namseok Lee, Se Eun Park, Eun Jung Rhee, Won Young Lee, Ki Won Oh, Sung Woo Park, Cheol-Young Park, Byung-Soo Youn
    Cardiovascular Diabetology.2013;[Epub]     CrossRef
The Changes in Early Phase Insulin Secretion in Newly Diagnosed, Drug Naive Korean Prediabetes Subjects
Sang Youl Rhee, Joo Young Kim, Suk Chon, You Cheol Hwang, In Kyung Jeong, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung Woon Kim, Jin-Woo Kim, Young Seol Kim
Korean Diabetes J. 2010;34(3):157-165.   Published online June 30, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.3.157
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AbstractAbstract PDFPubReader   
Background

There have been no systematic observations regarding changes in early phase insulin secretion among Korean prediabetes and early stage type 2 diabetes mellitus (T2DM) patients.

Methods

We conducted 75-g oral glucose tolerance tests (OGTT) in 873 subjects with suspected abnormal glucose tolerance. All subjects were diagnosed as having normal glucose tolerance (NGT), prediabetes (preDM), or T2DM according to the OGTT results and the insulin secretory and insulin resistance indices of each subject were calculated. Additionally, we analyzed the changes in early phase insulin secretion according to changes in fasting (Glc0), post-prandial (Glc120) glucose and HbA1c (A1c) levels.

Results

As compared to subjects with NGT, the insulin secretory indices of the preDM and T2DM subjects progressively declined, and the insulin resistance indices were progressively aggravated. Early phase insulin secretion decreased rapidly according to the increments of Glc0, Glc120 and A1c, and these changes were most prominent in the NGT stage. Compared to the control group, the early phase insulin secretion levels of the preDM or T2DM subjects were less than 50% when Glc0 was over 100 mg/dL, Glc120 was over 145 mg/dL, and A1c was over 5.8%.

Conclusion

This study suggests that progressive beta cell dysfunction in Koreans may be initiated and rapidly aggravated during the period generally designated as 'normal.'

Citations

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  • Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study
    Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2019; 43(1): 49.     CrossRef
  • Differential role of insulin resistance and β-cell function in the development of prediabetes and diabetes in middle-aged and elderly Chinese population
    Xueli Cai, Lili Xia, Yuesong Pan, Dian He, Huiping Zhu, Tiemin Wei, Yan He
    Diabetology & Metabolic Syndrome.2019;[Epub]     CrossRef
  • Effects of Primary Aldosteronism and Different Therapeutic Modalities on Glucose Metabolism
    Mi Kyung Kwak, Jee Yang Lee, Beom-Jun Kim, Seung Hun Lee, Jung-Min Koh
    Journal of Clinical Medicine.2019; 8(12): 2194.     CrossRef
  • Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
    Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim
    Hepatology Research.2018;[Epub]     CrossRef
  • Longitudinal Changes in Insulin Resistance, Beta-Cell Function and Glucose Regulation Status in Prediabetes
    Chul-Hee Kim, Hong-Kyu Kim, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Joong-Yeol Park
    The American Journal of the Medical Sciences.2018; 355(1): 54.     CrossRef
  • Prenatal Dexamethasone Exposure Programs the Development of the Pancreas and the Secretion of Insulin in Rats
    Yu-Chieh Chen, Ying-Hua Huang, Jiunn-Ming Sheen, You-Lin Tain, Hong-Ren Yu, Chih-Cheng Chen, Miao-Meng Tiao, Ho-Chang Kuo, Li-Tung Huang
    Pediatrics & Neonatology.2017; 58(2): 135.     CrossRef
  • Insulin Secretory Capacity and Insulin Resistance in Korean Type 2 Diabetes Mellitus Patients
    Jong-Dai Kim, Won-Young Lee
    Endocrinology and Metabolism.2016; 31(3): 354.     CrossRef
  • The effect of glargine versus glimepiride on pancreatic β-cell function in patients with type 2 diabetes uncontrolled on metformin monotherapy: open-label, randomized, controlled study
    Jun Sung Moon, Kyoung Soo Ha, Ji Sung Yoon, Hyoung Woo Lee, Hyun Chul Lee, Kyu Chang Won
    Acta Diabetologica.2014; 51(2): 277.     CrossRef
  • Association of Obstructive Sleep Apnea and Glucose Metabolism in Subjects With or Without Obesity
    Nan Hee Kim, Nam H. Cho, Chang-Ho Yun, Seung Ku Lee, Dae Wui Yoon, Hyun Joo Cho, Jae Hee Ahn, Ji A. Seo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Chol Shin
    Diabetes Care.2013; 36(12): 3909.     CrossRef
  • Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
    C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
    Diabetic Medicine.2013; 30(9): 1075.     CrossRef
  • Associations among Body Mass Index, Insulin Resistance, and Pancreatic β-Cell Function in Korean Patients with New-Onset Type 2 Diabetes
    Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
    The Korean Journal of Internal Medicine.2012; 27(1): 66.     CrossRef
  • High normal HbA1c levels were associated with impaired insulin secretion without escalating insulin resistance in Japanese individuals: the Toranomon Hospital Health Management Center Study 8 (TOPICS 8)
    Y. Heianza, Y. Arase, K. Fujihara, H. Tsuji, K. Saito, S. D. Hsieh, S. Kodama, H. Shimano, N. Yamada, S. Hara, H. Sone
    Diabetic Medicine.2012; 29(10): 1285.     CrossRef
  • The Prediabetic Period: Review of Clinical Aspects
    Sang Youl Rhee, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2011; 35(2): 107.     CrossRef
  • Predictive characteristics of patients achieving glycaemic control with insulin after sulfonylurea failure
    Y.-H. Lee, B.-W. Lee, S. W. Chun, B. S. Cha, H. C. Lee
    International Journal of Clinical Practice.2011; 65(10): 1076.     CrossRef
  • Early Insulin Secretory Dysfunction in Korean Prediabetic Subjects: Should We Change the Criteria for "Prediabetes?"
    Chul-Hee Kim
    Korean Diabetes Journal.2010; 34(3): 154.     CrossRef
Review
Glycemic Index Revisited.
In Joo Kim
Korean Diabetes J. 2009;33(4):261-266.   Published online August 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.4.261
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AbstractAbstract PDF
The implementation of effective dietary strategies is important for diabetes management. Dietary carbohydrate is the main factor determining blood sugar level, especially in the postprandial period. Carbohydrate-rich diets can have deleterious effects on glycemic control in diabetic patients and may play an important role in the development of cardiovascular diseases. Low glycemic diets have been reported to have beneficial effects for diabetes control and cardiovascular risk factors. However, according to the American Diabetes Association recommendations for medical nutrition therapy, monitoring carbohydrate intake, whether by carbohydrate counting, exchange, or experience-based estimation, remains a key strategy for achieving glycemic control, with the use of the glycemic index and glycemic load recommended only as an auxiliary method that may provide a modest additional benefit for glycemic control over the effects observed when total carbohydrate is considered alone. Recently, an increasing amount of clinical evidence supports the efficacy of low glycemic diets for the management of diabetes. The development of practical methods to apply the glycemic index and glycemic load to the management of diabetes in clinical settings is warranted.

Citations

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  • Validation Study of the Estimated Glycemic Load Model Using Commercially Available Fast Foods
    Miran Lee, Haejin Kang, Sang-Jin Chung, Kisun Nam, Yoo Kyoung Park
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals
    Hosun Lee, Mihyang Um, Kisun Nam, Sang-Jin Chung, Yookyoung Park
    Foods.2021; 10(11): 2626.     CrossRef
  • Effects of macronutrients in mixed meals on postprandial glycemic response
    Mi-Hyeon Park, Sang-Jin Chung, Jae Eun Shim, Sung-Hee Jang, Ki-Sun Nam
    Journal of Nutrition and Health.2018; 51(1): 31.     CrossRef
  • An Adequate Intake of Carbohydrates for Gestational Diabetes Mellitus
    Yun Jung Lee
    The Journal of Korean Diabetes.2017; 18(1): 43.     CrossRef
  • Utility of the Glycemic Index in Practical Diabetes Management
    Jung Hwa Lee
    The Journal of Korean Diabetes.2015; 16(2): 135.     CrossRef
  • Analysis and Evaluation of Glycemic Indices and Glycemic Loads of Frequently Consumed Carbohydrate-Rich Snacks according to Variety and Cooking Method
    Do Yeon Kim, Hansongyi Lee, Eun Young Choi, Hyunjung Lim
    Journal of the Korean Society of Food Science and Nutrition.2015; 44(1): 14.     CrossRef
  • Hypoglycemic Effects of Boiled rice made from Unpolished rice, Job' tear, and Extract From Medicinal Herbs Mixture on Diabetic Rat
    Hyeon-Sun Lee, Hyun-Joo Kong, Eon-Hee Lee, Su-Jung Hwang, Hyeon-A Jung, Mi-Lim Kim, Eun-Mi Choi, Joung-Hyeon Jang, Kyung-Mi Yang
    The Korea Journal of Herbology.2014; 29(3): 59.     CrossRef
  • The Quality Characteristics and Hypoglycemic Effect of Cookies Containing Helianthus tuberosus Powder
    Hwa Yeon Park, Na Young An, Ho Kyung Ryu
    The Korean Journal of Community Living Science.2013; 24(2): 233.     CrossRef
  • A Study of Glycemic Index, Glycemic Load and Food Sources according to Body Mass Index in Female College Students
    Jee-Young Yeon, Eun-Young Kim
    Korean Journal of Community Nutrition.2012; 17(4): 429.     CrossRef
  • Diet Therapy for Postprandial Hyperglycemia in Patients with Diabetes
    Jeong-a Yoo
    Journal of Korean Diabetes.2012; 13(1): 33.     CrossRef
  • A Factor of Fasting Blood Glucose and Dietary Patterns in Korean Adults Using Data From the 2007, 2008 and 2009 Korea National Health and Nutrition Examination Survey
    Kyung Won Paek, Ki Hong Chun, Soo Jin Lee
    Journal of Preventive Medicine and Public Health.2011; 44(2): 93.     CrossRef
  • Breakfast and Health in Adolescents
    Kie Young Park
    Korean Journal of Pediatric Gastroenterology and Nutrition.2011; 14(4): 340.     CrossRef
  • Nutrients and Dish Intake by Fasting Blood Glucose Level
    Jihyun Choi, Hyun-Kyung Moon
    The Korean Journal of Nutrition.2010; 43(5): 463.     CrossRef

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