Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Article category

Page Path
HOME > Article category > Article category
2141 Article category
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Basic Research
Long Non-Coding RNA TUG1 Attenuates Insulin Resistance in Mice with Gestational Diabetes Mellitus via Regulation of the MicroRNA-328-3p/SREBP-2/ERK Axis
Xuwen Tang, Qingxin Qin, Wenjing Xu, Xuezhen Zhang
Diabetes Metab J. 2023;47(2):267-286.   Published online January 19, 2023
DOI: https://doi.org/10.4093/dmj.2021.0216
  • 2,781 View
  • 187 Download
  • 6 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Long non-coding RNAs (lncRNAs) have been illustrated to contribute to the development of gestational diabetes mellitus (GDM). In the present study, we aimed to elucidate how lncRNA taurine upregulated gene 1 (TUG1) influences insulin resistance (IR) in a high-fat diet (HFD)-induced mouse model of GDM.
Methods
We initially developed a mouse model of HFD-induced GDM, from which islet tissues were collected for RNA and protein extraction. Interactions among lncRNA TUG1/microRNA (miR)-328-3p/sterol regulatory element binding protein 2 (SREBP-2) were assessed by dual-luciferase reporter assay. Fasting blood glucose (FBG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), HOMA pancreatic β-cell function (HOMA-β), insulin sensitivity index for oral glucose tolerance tests (ISOGTT) and insulinogenic index (IGI) levels in mouse serum were measured through conducting gain- and loss-of-function experiments.
Results
Abundant expression of miR-328 and deficient expression of lncRNA TUG1 and SREBP-2 were characterized in the islet tissues of mice with HFD-induced GDM. LncRNA TUG1 competitively bound to miR-328-3p, which specifically targeted SREBP-2. Either depletion of miR-328-3p or restoration of lncRNA TUG1 and SREBP-2 reduced the FBG, FINS, HOMA-β, and HOMA-IR levels while increasing ISOGTT and IGI levels, promoting the expression of the extracellular signal-regulated kinase (ERK) signaling pathway-related genes, and inhibiting apoptosis of islet cells in GDM mice. Upregulation miR-328-3p reversed the alleviative effects of SREBP-2 and lncRNA TUG1 on IR.
Conclusion
Our study provides evidence that the lncRNA TUG1 may prevent IR following GDM through competitively binding to miR-328-3p and promoting the SREBP-2-mediated ERK signaling pathway inactivation.

Citations

Citations to this article as recorded by  
  • Diabetes and diabetic associative diseases: An overview of epigenetic regulations of TUG1
    Mohammed Ageeli Hakami
    Saudi Journal of Biological Sciences.2024; 31(5): 103976.     CrossRef
  • Effect of Tinospora cordifolia on gestational diabetes mellitus and its complications
    Ritu Rani, Havagiray Chitme, Avinash Kumar Sharma
    Women & Health.2023; 63(5): 359.     CrossRef
  • Therapeutic Effect of Tinospora cordifolia (Willd) Extracts on Letrozole-Induced Polycystic Ovarian Syndrome and its Complications in Murine Model
    Ritu Rani, Avinash Kumar Sharma, Havagiray R Chitme
    Clinical Medicine Insights: Endocrinology and Diabetes.2023;[Epub]     CrossRef
  • The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes
    Dong Gao, Liping Ren, Yu-Duo Hao, Nalini Schaduangrat, Xiao-Wei Liu, Shi-Shi Yuan, Yu-He Yang, Yan Wang, Watshara Shoombuatong, Hui Ding
    Briefings in Bioinformatics.2023;[Epub]     CrossRef
  • lncRNA TUG1 as potential novel biomarker for prognosis of cardiovascular diseases
    Habib Haybar, Narjes Sadat Sadati, Daryush Purrahman, Mohammad Reza Mahmoudian-Sani, Najmaldin Saki
    Epigenomics.2023; 15(23): 1273.     CrossRef
Reviews
Drug/Regimen
Machine Learning Approach to Drug Treatment Strategy for Diabetes Care
Kazuya Fujihara, Hirohito Sone
Diabetes Metab J. 2023;47(3):325-332.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0349
  • 65,535 View
  • 242 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Globally, the number of people with diabetes mellitus has quadrupled in the past three decades, and approximately one in 11 adults worldwide have diabetes mellitus. Since both microvascular and macrovascular diseases in patients with diabetes predispose them to a lower quality of life as well as higher rates of mortality, managing blood glucose levels is of clinical relevance in diabetes care. Many classes of antihyperglycemic drugs are currently approved to treat hyperglycemia in patients with type 2 diabetes mellitus, with several new drugs having been developed during the last decade. Diabetes-related complications have been reduced substantially worldwide. Prioritization of therapeutic agents varies according to national guidelines. However, since the characteristics of participants in clinical trials differ from patients in actual clinical practice, it is difficult to apply the results of such trials to clinical practice. Machine learning approaches became highly topical issues in medicine along with rapid technological innovations in the fields of information and communication in the 1990s. However, adopting these technologies to support decision-making regarding drug treatment strategies for diabetes care has been slow. This review summarizes data from recent studies on the choice of drugs for type 2 diabetes mellitus focusing on machine learning approaches.

Citations

Citations to this article as recorded by  
  • Exploring antioxidant activities and inhibitory effects against α‐amylase and α‐glucosidase of Elaeocarpus braceanus fruits: insights into mechanisms by molecular docking and molecular dynamics
    Hong Li, Yuanyue Zhang, Zhijia Liu, Chaofan Guo, Maurizio Battino, Shengbao Cai, Junjie Yi
    International Journal of Food Science & Technology.2024; 59(1): 343.     CrossRef
  • 3D Convolutional Neural Networks for Predicting Protein Structure for Improved Drug Recommendation
    Pokkuluri Kiran Sree, SSSN Usha Devi N
    EAI Endorsed Transactions on Pervasive Health and Technology.2024;[Epub]     CrossRef
Cardiovascular Risk/Epidemiology
Intensified Multifactorial Intervention in Patients with Type 2 Diabetes Mellitus
Takayoshi Sasako, Toshimasa Yamauchi, Kohjiro Ueki
Diabetes Metab J. 2023;47(2):185-197.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0325
  • 4,995 View
  • 356 Download
  • 8 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   ePub   
In the management of diabetes mellitus, one of the most important goals is to prevent its micro- and macrovascular complications, and to that end, multifactorial intervention is widely recommended. Intensified multifactorial intervention with pharmacotherapy for associated risk factors, alongside lifestyle modification, was first shown to be efficacious in patients with microalbuminuria (Steno-2 study), then in those with less advanced microvascular complications (the Anglo-Danish-Dutch Study of Intensive Treatment In People with Screen Detected Diabetes in Primary Care [ADDITION]-Europe and the Japan Diabetes Optimal Treatment study for 3 major risk factors of cardiovascular diseases [J-DOIT3]), and in those with advanced microvascular complications (the Nephropathy In Diabetes-Type 2 [NID-2] study and Diabetic Nephropathy Remission and Regression Team Trial in Japan [DNETT-Japan]). Thus far, multifactorial intervention led to a reduction in cardiovascular and renal events, albeit not necessarily significant. It should be noted that not only baseline characteristics but also the control status of the risk factors and event rates during intervention among the patients widely varied from one trial to the next. Further evidence is needed for the efficacy of multifactorial intervention in a longer duration and in younger or elderly patients. Moreover, now that new classes of antidiabetic drugs are available, it should be addressed whether strict and safe glycemic control, alongside control of other risk factors, could lead to further risk reductions in micro- and macrovascular complications, thereby decreasing all-cause mortality in patients with type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Exploring mechanisms underlying diabetes comorbidities and strategies to prevent vascular complications
    Takayoshi Sasako
    Diabetology International.2024; 15(1): 34.     CrossRef
  • Targeting ERS-mitophagy in hippocampal neurons to explore the improvement of memory by tea polyphenols in aged type 2 diabetic rats
    Wenjuan Feng, Chenhui Lv, Le Cheng, Xin Song, Xuemin Li, Haoran Xie, Shuangzhi Chen, Xi Wang, Lushan Xue, Cheng Zhang, Jie Kou, Lili Wang, Haifeng Zhao
    Free Radical Biology and Medicine.2024; 213: 293.     CrossRef
  • Risk of Dementia Among Patients With Diabetes in a Multidisciplinary, Primary Care Management Program
    Kailu Wang, Shi Zhao, Eric Kam-Pui Lee, Susan Zi-May Yau, Yushan Wu, Chi-Tim Hung, Eng-Kiong Yeoh
    JAMA Network Open.2024; 7(2): e2355733.     CrossRef
  • Causes of In-Hospital Death and Pharmaceutical Associations with Age of Death during a 10-Year Period (2011–2020) in Individuals with and without Diabetes at a Japanese Community General Hospital
    Minae Hosoki, Taiki Hori, Yousuke Kaneko, Kensuke Mori, Saya Yasui, Seijiro Tsuji, Hiroki Yamagami, Saki Kawata, Tomoyo Hara, Shiho Masuda, Yukari Mitsui, Kiyoe Kurahashi, Takeshi Harada, Shingen Nakamura, Toshiki Otoda, Tomoyuki Yuasa, Akio Kuroda, Itsur
    Journal of Clinical Medicine.2024; 13(5): 1283.     CrossRef
  • External validation of a minimal-resource model to predict reduced estimated glomerular filtration rate in people with type 2 diabetes without diagnosis of chronic kidney disease in Mexico: a comparison between country-level and regional performance
    Camilla Sammut-Powell, Rose Sisk, Ruben Silva-Tinoco, Gustavo de la Pena, Paloma Almeda-Valdes, Sonia Citlali Juarez Comboni, Susana Goncalves, Rory Cameron
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Gut Microbiota Targeted Approach by Natural Products in Diabetes Management: An Overview
    Priyanka Sati, Praveen Dhyani, Eshita Sharma, Dharam Chand Attri, Arvind Jantwal, Rajni Devi, Daniela Calina, Javad Sharifi-Rad
    Current Nutrition Reports.2024;[Epub]     CrossRef
  • Cardiovascular Risk Reduction in Type 2 Diabetes: Further Insights into the Power of Weight Loss and Exercise
    Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(3): 302.     CrossRef
  • Sarcopenia: Loss of mighty armor against frailty and aging
    Takayoshi Sasako, Kohjiro Ueki
    Journal of Diabetes Investigation.2023; 14(10): 1145.     CrossRef
Basic Research
Heterogeneity of Islet Cells during Embryogenesis and Differentiation
Shugo Sasaki, Takeshi Miyatsuka
Diabetes Metab J. 2023;47(2):173-184.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0324
  • 3,683 View
  • 247 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFPubReader   ePub   
Diabetes is caused by insufficient insulin secretion due to β-cell dysfunction and/or β-cell loss. Therefore, the restoration of functional β-cells by the induction of β-cell differentiation from embryonic stem (ES) and induced-pluripotent stem (iPS) cells, or from somatic non-β-cells, may be a promising curative therapy. To establish an efficient and feasible method for generating functional insulin-producing cells, comprehensive knowledge of pancreas development and β-cell differentiation, including the mechanisms driving cell fate decisions and endocrine cell maturation is crucial. Recent advances in single-cell RNA sequencing (scRNA-seq) technologies have opened a new era in pancreas development and diabetes research, leading to clarification of the detailed transcriptomes of individual insulin-producing cells. Such extensive high-resolution data enables the inference of developmental trajectories during cell transitions and gene regulatory networks. Additionally, advancements in stem cell research have not only enabled their immediate clinical application, but also has made it possible to observe the genetic dynamics of human cell development and maturation in a dish. In this review, we provide an overview of the heterogeneity of islet cells during embryogenesis and differentiation as demonstrated by scRNA-seq studies on the developing and adult pancreata, with implications for the future application of regenerative medicine for diabetes.

Citations

Citations to this article as recorded by  
  • Newly discovered knowledge pertaining to glucagon and its clinical applications
    Dan Kawamori, Shugo Sasaki
    Journal of Diabetes Investigation.2023; 14(7): 829.     CrossRef
Basic Research
The Link between Mitochondrial Dysfunction and Sarcopenia: An Update Focusing on the Role of Pyruvate Dehydrogenase Kinase 4
Min-Ji Kim, Ibotombi Singh Sinam, Zerwa Siddique, Jae-Han Jeon, In-Kyu Lee
Diabetes Metab J. 2023;47(2):153-163.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0305
  • 4,800 View
  • 366 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   ePub   
Sarcopenia, defined as a progressive loss of muscle mass and function, is typified by mitochondrial dysfunction and loss of mitochondrial resilience. Sarcopenia is associated not only with aging, but also with various metabolic diseases characterized by mitochondrial dyshomeostasis. Pyruvate dehydrogenase kinases (PDKs) are mitochondrial enzymes that inhibit the pyruvate dehydrogenase complex, which controls pyruvate entry into the tricarboxylic acid cycle and the subsequent adenosine triphosphate production required for normal cellular activities. PDK4 is upregulated in mitochondrial dysfunction-related metabolic diseases, especially pathologic muscle conditions associated with enhanced muscle proteolysis and aberrant myogenesis. Increases in PDK4 are associated with perturbation of mitochondria-associated membranes and mitochondrial quality control, which are emerging as a central mechanism in the pathogenesis of metabolic disease-associated muscle atrophy. Here, we review how mitochondrial dysfunction affects sarcopenia, focusing on the role of PDK4 in mitochondrial homeostasis. We discuss the molecular mechanisms underlying the effects of PDK4 on mitochondrial dysfunction in sarcopenia and show that targeting mitochondria could be a therapeutic target for treating sarcopenia.

Citations

Citations to this article as recorded by  
  • Synthesis, activatory effects, molecular docking and ADME studies as rabbit muscle pyruvate kinase activators of ureido phenyl substituted 1,4-dihydropyridine derivatives
    Mustafa Oğuzhan Kaya, Tuna Demirci, Ümit Çalışır, Oğuzhan Özdemir, Yeşim Kaya, Mustafa Arslan
    Research on Chemical Intermediates.2024; 50(1): 437.     CrossRef
  • Unraveling the causes of sarcopenia: Roles of neuromuscular junction impairment and mitochondrial dysfunction
    Yanmei Miao, Leiyu Xie, Jiamei Song, Xing Cai, Jinghe Yang, Xinglong Ma, Shaolin Chen, Peng Xie
    Physiological Reports.2024;[Epub]     CrossRef
  • Metabolic clues to aging: exploring the role of circulating metabolites in frailty, sarcopenia and vascular aging related traits and diseases
    Zonghao Qian, Yuzhen Huang, Yucong Zhang, Ni Yang, Ziwei Fang, Cuntai Zhang, Le Zhang
    Frontiers in Genetics.2024;[Epub]     CrossRef
  • Inhibition of Pyruvate Dehydrogenase Kinase 4 Protects Cardiomyocytes from lipopolysaccharide-Induced Mitochondrial Damage by Reducing Lactate Accumulation
    Tangtian Chen, Qiumin Xie, Bin Tan, Qin Yi, Han Xiang, Rui Wang, Qin Zhou, Bolin He, Jie Tian, Jing Zhu, Hao Xu
    Inflammation.2024;[Epub]     CrossRef
  • Effect of resistance training plus enriched probiotic supplement on sestrin2, oxidative stress, and mitophagy markers in elderly male Wistar rats
    Majid Mohabbat, Hamid Arazi
    Scientific Reports.2024;[Epub]     CrossRef
  • Neuroprotective Effects and Therapeutic Potential of Dichloroacetate: Targeting Metabolic Disorders in Nervous System Diseases
    Yue Zhang, Meiyan Sun, Hongxiang Zhao, Zhengyan Wang, Yanan Shi, Jianxin Dong, Kaifang Wang, Xi Wang, Xingyue Li, Haiyan Qi, Xiaoyong Zhao
    International Journal of Nanomedicine.2023; Volume 18: 7559.     CrossRef
Technology/Device
Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
Jee Hee Yoo, Jae Hyeon Kim
Diabetes Metab J. 2023;47(1):27-41.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0271
  • 6,125 View
  • 380 Download
  • 10 Web of Science
  • 15 Crossref
AbstractAbstract PDFPubReader   ePub   
Continuous glucose monitoring (CGM) technology has evolved over the past decade with the integration of various devices including insulin pumps, connected insulin pens (CIPs), automated insulin delivery (AID) systems, and virtual platforms. CGM has shown consistent benefits in glycemic outcomes in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) treated with insulin. Moreover, the combined effect of CGM and education have been shown to improve glycemic outcomes more than CGM alone. Now a CIP is the expected future technology that does not need to be worn all day like insulin pumps and helps to calculate insulin doses with a built-in bolus calculator. Although only a few clinical trials have assessed the effectiveness of CIPs, they consistently show benefits in glycemic outcomes by reducing missed doses of insulin and improving problematic adherence. AID systems and virtual platforms made it possible to achieve target glycosylated hemoglobin in diabetes while minimizing hypoglycemia, which has always been challenging in T1DM. Now fully automatic AID systems and tools for diabetes decisions based on artificial intelligence are in development. These advances in technology could reduce the burden associated with insulin treatment for diabetes.

Citations

Citations to this article as recorded by  
  • Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System
    Kyung-Soo Kim, Seung-Hwan Lee, Won Sang Yoo, Cheol-Young Park
    Diabetes Technology & Therapeutics.2024; 26(4): 222.     CrossRef
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • Recent advances in the precision control strategy of artificial pancreas
    Wuyi Ming, Xudong Guo, Guojun Zhang, Yinxia Liu, Yongxin Wang, Hongmei Zhang, Haofang Liang, Yuan Yang
    Medical & Biological Engineering & Computing.2024;[Epub]     CrossRef
  • Digital Health in Diabetes and Cardiovascular Disease
    Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H. Kim, Seth S. Martin
    Endocrine Research.2024; : 1.     CrossRef
  • Glycemic Outcomes During Early Use of the MiniMed™ 780G Advanced Hybrid Closed-Loop System with Guardian™ 4 Sensor
    Toni L. Cordero, Zheng Dai, Arcelia Arrieta, Fang Niu, Melissa Vella, John Shin, Andrew S. Rhinehart, Jennifer McVean, Scott W. Lee, Robert H. Slover, Gregory P. Forlenza, Dorothy I. Shulman, Rodica Pop-Busui, James R. Thrasher, Mark S. Kipnes, Mark P. Ch
    Diabetes Technology & Therapeutics.2023; 25(9): 652.     CrossRef
  • Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
    Jun Sung Moon
    Diabetes & Metabolism Journal.2023; 47(3): 345.     CrossRef
  • APSec1.0: Innovative Security Protocol Design with Formal Security Analysis for the Artificial Pancreas System
    Jiyoon Kim, Jongmin Oh, Daehyeon Son, Hoseok Kwon, Philip Virgil Astillo, Ilsun You
    Sensors.2023; 23(12): 5501.     CrossRef
  • Advances and Development of Electronic Neural Interfaces
    Xue Jiaxiang, Liu Zhixin
    Journal of Computing and Natural Science.2023; : 147.     CrossRef
  • Continuous Glucose Monitoring (CGM) and Metabolic Control in a Cohort of Patients with Type 1 Diabetes and Coeliac Disease
    Flavia Amaro, Maria Alessandra Saltarelli, Marina Primavera, Marina Cerruto, Stefano Tumini
    Endocrines.2023; 4(3): 595.     CrossRef
  • Comparison of Glycemia Risk Index with Time in Range for Assessing Glycemic Quality
    Ji Yoon Kim, Jee Hee Yoo, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2023; 25(12): 883.     CrossRef
  • The Benefits Of Continuous Glucose Monitoring In Pregnancy
    Jee Hee Yoo, Jae Hyeon Kim
    Endocrinology and Metabolism.2023; 38(5): 472.     CrossRef
  • The Growing Challenge of Diabetes Management in an Aging Society
    Seung-Hwan Lee
    Diabetes & Metabolism Journal.2023; 47(5): 630.     CrossRef
  • Recent advances in artificial intelligence-assisted endocrinology and diabetes
    Ioannis T. Oikonomakos, Ranjit M. Anjana, Viswanathan Mohan, Charlotte Steenblock, Stefan R. Bornstein
    Exploration of Endocrine and Metabolic Disease.2023; 1(1): 16.     CrossRef
  • An Observational Pilot Study of a Tailored Environmental Monitoring and Alert System for Improved Management of Chronic Respiratory Diseases
    Mohammed Alotaibi, Fady Alnajjar, Badr A Alsayed, Tareq Alhmiedat, Ashraf M Marei, Anas Bushnag, Luqman Ali
    Journal of Multidisciplinary Healthcare.2023; Volume 16: 3799.     CrossRef
  • Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
    Jee Hee Yoo, Jae Hyeon Kim
    The Journal of Korean Diabetes.2023; 24(4): 190.     CrossRef
Basic Research
Multiple Roles of Sirtuin 6 in Adipose Tissue Inflammation
Eun Ju Bae, Byung-Hyun Park
Diabetes Metab J. 2023;47(2):164-172.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0270
  • 3,682 View
  • 229 Download
  • 4 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Adipose tissue (AT) inflammation is strongly associated with obesity-induced insulin resistance. When subjected to metabolic stress, adipocytes become inflamed and secrete a plethora of cytokines and chemokines, which recruit circulating immune cells to AT. Although sirtuin 6 (Sirt6) is known to control genomic stabilization, aging, and cellular metabolism, it is now understood to also play a pivotal role in the regulation of AT inflammation. Sirt6 protein levels are reduced in the AT of obese humans and animals and increased by weight loss. In this review, we summarize the potential mechanism of AT inflammation caused by impaired action of Sirt6 from the immune cells’ point of view. We first describe the properties and functions of immune cells in obese AT, with an emphasis on discrete macrophage subpopulations which are central to AT inflammation. We then highlight data that links Sirt6 to functional phenotypes of AT inflammation. Importantly, we discuss in detail the effects of Sirt6 deficiency in adipocytes, macrophages, and eosinophils on insulin resistance or AT browning. In our closing perspectives, we discuss emerging issues in this field that require further investigation.

Citations

Citations to this article as recorded by  
  • The Role of Increased Expression of Sirtuin 6 in the Prevention of Premature Aging Pathomechanisms
    Adrianna Dzidek, Olga Czerwińska-Ledwig, Małgorzata Żychowska, Wanda Pilch, Anna Piotrowska
    International Journal of Molecular Sciences.2023; 24(11): 9655.     CrossRef
  • Exploring the Influence of Age, Gender and Body Mass Index on Colorectal Cancer Location
    Dorel Popovici, Cristian Stanisav, Sorin Saftescu, Serban Negru, Radu Dragomir, Daniel Ciurescu, Razvan Diaconescu
    Medicina.2023; 59(8): 1399.     CrossRef
Original Article
Metabolic Risk/Epidemiology
Metabolic Dysfunction-Associated Fatty Liver Disease and Mortality: A Population-Based Cohort Study
Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
Diabetes Metab J. 2023;47(2):220-231.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2021.0327
  • 65,535 View
  • 282 Download
  • 9 Web of Science
  • 10 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated whether metabolic dysfunction-associated fatty liver disease (MAFLD) is associated with an elevated risk of all-cause and cardiovascular mortality using a large-scale health examination cohort.
Methods
A total of 394,835 subjects in the Kangbuk Samsung Health Study cohort were enrolled from 2002 to 2012. Participants were categorized by the presence of nonalcoholic fatty liver disease (NAFLD) and MAFLD as follows: normal subjects; patients with both NAFLD and MAFLD; patients with NAFLD only; and patients with MAFLD only. Cox proportional hazards models were used to analyze the risk of mortality.
Results
During a median 5.7 years of follow-up, 20.69% was patients with both NAFLD and MAFLD, 1.51% was patients with NAFLD only, and 4.29% was patients with MAFLD only. All-cause and cardiovascular death was higher in patients with MAFLD than those without MAFLD (P<0.001, respectively). In patients with MAFLD only, the hazard ratio (HR) of all-cause and cardiovascular death was 1.35 (95% confidence interval [CI], 1.13 to 1.60) and 1.90 (95% CI, 1.26 to 2.88) after adjusting for age, which lost its statistical significance by multivariable adjustments. Compared to patients with less than two components of metabolic dysfunction, patients with more than two components of metabolic dysfunction were a higher risk of cardiovascular death (HR, 2.05; 95% CI, 1.25 to 3.38) and only women with more than two components of metabolic dysfunction were a higher risk of all-cause death (HR, 1.44; 95% CI, 1.02 to 2.03).
Conclusion
MAFLD criteria could identify a high-risk group for all-cause and cardiovascular death.

Citations

Citations to this article as recorded by  
  • Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
    Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
    Metabolism.2024; 152: 155789.     CrossRef
  • Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMJ.2024; : e076388.     CrossRef
  • Sex differences in mortality and liver‐related events in non‐alcoholic fatty liver disease: A systematic review and meta‐analysis
    Huimin Zhou, Haiyan Chen, Hanxiao Lu, Bo Wu, Shuo Zhang, Yuanlong Gu, Guangwen Zhou, Jie Xiang, Jun Yang
    Liver International.2024;[Epub]     CrossRef
  • Association between dietary carbohydrate to fiber ratio and metabolic dysfunction associated fatty liver disease in adults: evidence from the NHANES 2017–2020
    Zhenmin Liu, Taiyong Fang
    Journal of Health, Population and Nutrition.2024;[Epub]     CrossRef
  • Comparison of Outcomes Between Metabolic Dysfunction-Associated Fatty Liver Disease and Non-alcoholic Fatty Liver Disease: A Meta-Analysis
    Ghazala S Virk, Jaahnavi Vajje, Nausheen K Virk, Raam Mannam, Wajeeh Rehman, Naglaa G Ghobriel , Irfan-ud-din Mian, Muhammad Usama
    Cureus.2023;[Epub]     CrossRef
  • Trends in prevalence and all-cause mortality of metabolic dysfunction-associated fatty liver disease among adults in the past three decades: Results from the NHANES study
    Zhi-Qin Xie, Hong-Xia Li, Bing-Kun Wang, Zhao-Ming Yang, Zi-Yu Zhang, Wen-Liang Tan, Wen-Xin Li, Qing-Bin Wang, Lei Yang, Hong-Kai Zhuang, Chen-Wei Tang, Chang-Zhen Shang, Ya-Jin Chen
    European Journal of Internal Medicine.2023; 110: 62.     CrossRef
  • Comparing the Mortality Risk between Metabolic Dysfunction-Associated Fatty Liver Disease and Non-Alcoholic Fatty Liver Disease
    Han Na Jung, Chang Hee Jung
    Diabetes & Metabolism Journal.2023; 47(2): 198.     CrossRef
  • Increased expression of sodium-glucose cotransporter 2 and O-GlcNAcylation in hepatocytes drives non-alcoholic steatohepatitis
    Hye Jin Chun, Eun Ran Kim, Minyoung Lee, Da Hyun Choi, Soo Hyun Kim, Eugene Shin, Jin-Hong Kim, Jin Won Cho, Dai Hoon Han, Bong-Soo Cha, Yong-ho Lee
    Metabolism.2023; 145: 155612.     CrossRef
  • Current understanding and future perspectives on the impact of changing NAFLD to MAFLD on global epidemiology and clinical outcomes
    Karl Vaz, Daniel Clayton-Chubb, Ammar Majeed, John Lubel, David Simmons, William Kemp, Stuart K. Roberts
    Hepatology International.2023; 17(5): 1082.     CrossRef
  • Mitochondrial Quality Control: Its Role in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
    Soyeon Shin, Jaeyoung Kim, Ju Yeon Lee, Jun Kim, Chang-Myung Oh
    Journal of Obesity & Metabolic Syndrome.2023; 32(4): 289.     CrossRef
Response
Advanced Liver Fibrosis Is Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease (Diabetes Metab J 2022;46:630-9)
Da Hea Seo, So Hun Kim
Diabetes Metab J. 2022;46(6):956-957.   Published online November 24, 2022
DOI: https://doi.org/10.4093/dmj.2022.0381
[Original]
  • 1,640 View
  • 101 Download
PDFPubReader   ePub   
Letter
Editorial
Oldies but Goodies: Thiazolidinedione as an Insulin Sensitizer with Cardioprotection
Eun-Hee Cho
Diabetes Metab J. 2022;46(6):827-828.   Published online November 24, 2022
DOI: https://doi.org/10.4093/dmj.2022.0372
  • 1,707 View
  • 153 Download
  • 3 Web of Science
  • 3 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Diabetes: a review of its pathophysiology, and advanced methods of mitigation
    Sarika Gupta, Nitin Sharma, Sandeep Arora, Saurabh Verma
    Current Medical Research and Opinion.2024; : 1.     CrossRef
  • Lobeglitazone, a novel thiazolidinedione, for secondary prevention in patients with ischemic stroke: a nationwide nested case-control study
    Joonsang Yoo, Jimin Jeon, Minyoul Baik, Jinkwon Kim
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Molecular Processes Involved in the Shared Pathways between Cardiovascular Diseases and Diabetes
    Julita Tokarek, Emilian Budny, Maciej Saar, Kamila Stańczak, Ewa Wojtanowska, Ewelina Młynarska, Jacek Rysz, Beata Franczyk
    Biomedicines.2023; 11(10): 2611.     CrossRef
Review
Guideline/Fact Sheet
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon, on Behalf of the Committee of Clinical Practice Guideline of Korean Diabetes Association
Diabetes Metab J. 2022;46(6):819-826.   Published online November 24, 2022
DOI: https://doi.org/10.4093/dmj.2022.0364
  • 4,219 View
  • 268 Download
  • 4 Web of Science
  • 7 Crossref
AbstractAbstract PDFPubReader   ePub   
Diabetes screening serves to identify individuals at high-risk for diabetes who have not yet developed symptoms and to diagnose diabetes at an early stage. Globally, the prevalence of diabetes is rapidly increasing. Furthermore, obesity and/or abdominal obesity, which are major risk factors for type 2 diabetes mellitus (T2DM), are progressively increasing, particularly among young adults. Many patients with T2DM are asymptomatic and can accompany various complications at the time of diagnosis, as well as chronic complications develop as the duration of diabetes increases. Thus, proper screening and early diagnosis are essential for diabetes care. Based on reports on the changing epidemiology of diabetes and obesity in Korea, as well as growing evidence from new national cohort studies on diabetes screening, the Korean Diabetes Association has updated its clinical practice recommendations regarding T2DM screening. Diabetes screening is now recommended in adults aged ≥35 years regardless of the presence of risk factors, and in all adults (aged ≥19) with any of the risk factors. Abdominal obesity based on waist circumference (men ≥90 cm, women ≥85 cm) was added to the list of risk factors.

Citations

Citations to this article as recorded by  
  • Oxidative Balance Score and New-Onset Type 2 Diabetes Mellitus in Korean Adults without Non-Alcoholic Fatty Liver Disease: Korean Genome and Epidemiology Study-Health Examinees (KoGES-HEXA) Cohort
    Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
    Antioxidants.2024; 13(1): 107.     CrossRef
  • Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
    Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
    Diabetes Therapy.2024; 15(2): 547.     CrossRef
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     CrossRef
  • Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis
    Shanhu Qiu, Xue Cai, Yan Liang, Wenji Chen, Duolao Wang, Zilin Sun, Bo Xie, Tongzhi Wu
    Diabetes Research and Clinical Practice.2023; 197: 110562.     CrossRef
  • Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
    Jun Sung Moon
    The Journal of Korean Diabetes.2023; 24(1): 1.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
Editorial
Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring
Sang-Man Jin
Diabetes Metab J. 2022;46(5):675-676.   Published online September 19, 2022
DOI: https://doi.org/10.4093/dmj.2022.0307
  • 1,999 View
  • 173 Download
PDFPubReader   ePub   
Response
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802)
Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin
Diabetes Metab J. 2022;46(5):815-816.   Published online September 19, 2022
DOI: https://doi.org/10.4093/dmj.2022.0296
[Original]
  • 2,441 View
  • 118 Download
  • 9 Web of Science
  • 1 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Current Insights on the Use of Insulin and the Potential Use of Insulin Mimetics in Targeting Insulin Signalling in Alzheimer’s Disease
    Amy Woodfield, Tatiana Gonzales, Erik Helmerhorst, Simon Laws, Philip Newsholme, Tenielle Porter, Giuseppe Verdile
    International Journal of Molecular Sciences.2022; 23(24): 15811.     CrossRef
Corrigendum
New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
Diabetes Metab J. 2022;46(5):817-818.   Published online September 19, 2022
DOI: https://doi.org/10.4093/dmj.2022.0295
Corrects: Diabetes Metab J 2022;46(4):517
  • 2,035 View
  • 143 Download
  • 1 Web of Science
  • 1 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Remnant Cholesterol, a Valuable Biomarker for Assessing Arteriosclerosis and Cardiovascular Risk: A Systematic Review
    Xiang Chen, Li-Hua Li
    Cureus.2023;[Epub]     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal