The Dose Adjustment for Normal Eating (DAFNE) programme of intensive insulin therapy for type 1 diabetes provides a structured educational intervention to improve glycemic control, reduce hypoglycemia and improve quality of life. Enhancement of self-management skills is a key element of DAFNE and patients acquire detailed skills in insulin dose adjustment. Following DAFNE training, patients report improved confidence in their ability to manage their own insulin dosing, but generally still seek and require the assistance of health professionals when making substantial changes to their insulin regimens. Some DAFNE trained patients may be able to assist their peers in aspects of diabetes management within a group environment, but widespread introduction of the expert patient/peer educator role in the self-management of type 1 diabetes, in particular related to insulin dose management, would require formal and detailed evaluation, preferably in randomized controlled clinical trials, before being introduced into routine clinical practice.

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Citations to this article as recorded by  

• Factors Associated With Resilience During Long-Term Hemodialysis
  Pedro García-Martínez, Rafa Ballester-Arnal, Kavita Gandhi-Morar, María D. Temprado-Albalat, Eladio Collado-Boira, Carlos Saus-Ortega, Jesús Castro-Calvo
  Nursing Research.2023; 72(1): 58.     CrossRef
• Association Between Management of Continuous Subcutaneous Basal Insulin Administration and HbA1C
  Harry Rubin-Falcone, Ian Fox, Emily Hirschfeld, Lynn Ang, Rodica Pop-Busui, Joyce M. Lee, Jenna Wiens
  Journal of Diabetes Science and Technology.2022; 16(5): 1120.     CrossRef
• Perceived Stress in Relation to Quality of Life and Resilience in Patients with Advanced Chronic Kidney Disease Undergoing Hemodialysis
  Pedro García-Martínez, Rafael Ballester-Arnal, Kavita Gandhi-Morar, Jesús Castro-Calvo, Vicente Gea-Caballero, Raúl Juárez-Vela, Carlos Saus-Ortega, Raimunda Montejano-Lozoya, Eva María Sosa-Palanca, María del Rosario Gómez-Romero, Eladio Collado-Boira
  International Journal of Environmental Research and Public Health.2021; 18(2): 536.     CrossRef
• Determinants of blood glucose control among people with Type 2 diabetes in a regional hospital in Ghana
  Sampson Kafui Djonor, Ignatius Terence Ako-Nnubeng, Ewurama Ampadu Owusu, Kwadwo Owusu Akuffo, Pricillia Nortey, Eldad Agyei-Manu, Anthony Danso-Appiah, Lakshmi Pulakat
  PLOS ONE.2021; 16(12): e0261455.     CrossRef
• Recent advances in type 1 diabetes
  Mervyn Kyi, John M Wentworth, Alison J Nankervis, Spiros Fourlanos, Peter G Colman
  Medical Journal of Australia.2015; 203(7): 290.     CrossRef

The vascular endothelium is a dynamic structure responsible for the separation and regulated movement of biological material between circulation and interstitial fluid. Hormones and nutrients can move across the endothelium either via a transcellular or paracellular route. Transcellular endothelial transport is well understood and broadly acknowledged to play an important role in the normal and abnormal physiology of endothelial function. However, less is known about the role of the paracellular route. Although the concept of endothelial dysfunction in diabetes is now widely accepted, we suggest that alterations in paracellular transport should be studied in greater detail and incorporated into this model. In this review we provide an overview of endothelial paracellular permeability and discuss its potential importance in contributing to the development of diabetes and associated complications. Accordingly, we also contend that if better understood, altered endothelial paracellular permeability could be considered as a potential therapeutic target for diabetes.

Citations

Citations to this article as recorded by  

• Use of 2-dimensional cell monolayers and 3-dimensional microvascular networks on microfluidic devices shows that iron increases transendothelial adiponectin flux via inducing ROS production
  Nanyoung Yoon, Seunggyu Kim, Hye Kyoung Sung, Thanh Q. Dang, Jessie S. Jeon, Gary Sweeney
  Biochimica et Biophysica Acta (BBA) - General Subjects.2021; 1865(2): 129796.     CrossRef
• Adiponectin Synthesis, Secretion and Extravasation from Circulation to Interstitial Space
  Simone C. da Silva Rosa, Meilian Liu, Gary Sweeney
  Physiology.2021; 36(3): 134.     CrossRef
• Tracking adiponectin biodistribution via fluorescence molecular tomography indicates increased vascular permeability after streptozotocin-induced diabetes
  Nanyoung Yoon, Keith Dadson, Thanh Dang, Teresa Chu, Nina Noskovicova, Boris Hinz, Adeline Raignault, Eric Thorin, Seunggyu Kim, Jessie S. Jeon, James Jonkman, Trevor D. McKee, Justin Grant, Jeffrey D. Peterson, Scott P. Kelly, Gary Sweeney
  American Journal of Physiology-Endocrinology and Metabolism.2019; 317(5): E760.     CrossRef
• Overview of the Components of Cardiac Metabolism
  Elizabeth A. Hausner, Susan A. Elmore, Xi Yang
  Drug Metabolism and Disposition.2019; 47(6): 673.     CrossRef
• Emerging Roles of Vascular Endothelium in Metabolic Homeostasis
  Xinchun Pi, Liang Xie, Cam Patterson
  Circulation Research.2018; 123(4): 477.     CrossRef
• Transendothelial movement of adiponectin is restricted by glucocorticoids
  Thanh Q Dang, Nanyoung Yoon, Helen Chasiotis, Emily C Dunford, Qilong Feng, Pingnian He, Michael C Riddell, Scott P Kelly, Gary Sweeney
  Journal of Endocrinology.2017; 234(2): 101.     CrossRef
• Insulin access to skeletal muscle is impaired during the early stages of diet‐induced obesity
  Josiane L. Broussard, Ana V.B. Castro, Malini Iyer, Rebecca L. Paszkiewicz, Isaac Asare Bediako, Lidia S. Szczepaniak, Edward W. Szczepaniak, Richard N. Bergman, Cathryn M. Kolka
  Obesity.2016; 24(9): 1922.     CrossRef
• Temporal and Molecular Analyses of Cardiac Extracellular Matrix Remodeling following Pressure Overload in Adiponectin Deficient Mice
  Keith Dadson, Subat Turdi, Stellar Boo, Boris Hinz, Gary Sweeney, Nikolaos Frangogiannis
  PLOS ONE.2015; 10(4): e0121049.     CrossRef

The expansion of life-style related diseases, such as metabolic syndrome (MS) and type 2 diabetes mellitus (T2DM), appears to be unstoppable. It is also difficult to cease their complications in spite of many antidiabetic medications or intervention of public administration. We and our collaborators found that physical medicine using simultaneous stimulation of heat with mild electric current activates heat shock response, thereby reducing visceral adiposity, insulin resistance, chronic inflammation and improving glucose homeostasis in mice models of T2DM, as well as in humans with MS or T2DM. This combination therapy exerts novel action on insulin signaling, β-cell protection and body compositions, and may provide a new therapeutic alternative in diabetic treatment strategy.

Citations

Citations to this article as recorded by  

• Proteostasis defects: Medicinal challenges of imperfect aging & neurodegeneration
  Prashant Kumar, Akash Choudhary, Sumit Kinger, Yuvraj Anandrao Jagtap, Ankur Rakesh Dubey, Ravi Kumar Gutti, Deepak Chitkara, Anil K. Suresh, Amit Mishra
  Translational Medicine of Aging.2023; 7: 87.     CrossRef
• New opportunities of therapeutic hyperthermia (literature review)
  Orazakhmet K. Kurpeshev
  Russian Journal of Physiotherapy, Balneology and Rehabilitation.2022; 20(5): 429.     CrossRef
• eIF3j inhibits translation of a subset of circular RNAs in eukaryotic cells
  Zhenxing Song, Jiamei Lin, Rui Su, Yu Ji, Ruirui Jia, Shi Li, Ge Shan, Chuan Huang
  Nucleic Acids Research.2022; 50(20): 11529.     CrossRef
• Are Heat Shock Proteins an Important Link between Type 2 Diabetes and Alzheimer Disease?
  Joanne Elizabeth Rowles, Kevin Noel Keane, Thiago Gomes Heck, Vinicius Cruzat, Giuseppe Verdile, Philip Newsholme
  International Journal of Molecular Sciences.2020; 21(21): 8204.     CrossRef
• The effect of passive heating on heat shock protein 70 and interleukin-6: A possible treatment tool for metabolic diseases?
  S. H. Faulkner, S. Jackson, G. Fatania, C. A. Leicht
  Temperature.2017; 4(3): 292.     CrossRef
• Emerging Role of Nitric Oxide and Heat Shock Proteins in Insulin Resistance
  Marisa Nile Molina, León Ferder, Walter Manucha
  Current Hypertension Reports.2016;[Epub]     CrossRef
• αB-crystallin and HspB2 deficiency is protective from diet-induced glucose intolerance
  Daniel J. Toft, Miles Fuller, Matthew Schipma, Feng Chen, Vincent L. Cryns, Brian T. Layden
  Genomics Data.2016; 9: 10.     CrossRef
• DNAJB3/HSP-40 cochaperone improves insulin signaling and enhances glucose uptake in vitro through JNK repression
  Mohamed Abu-Farha, Preethi Cherian, Irina Al-Khairi, Ali Tiss, Abdelkrim Khadir, Sina Kavalakatt, Samia Warsame, Mohammed Dehbi, Kazem Behbehani, Jehad Abubaker
  Scientific Reports.2015;[Epub]     CrossRef
• Reduced nuclear protein 1 expression improves insulin sensitivity and protects against diet-induced glucose intolerance through up-regulation of heat shock protein 70
  H.C. Barbosa-Sampaio, R. Drynda, B. Liu, A.M. Rodriguez De Ledesma, C. Malicet, J.L. Iovanna, P.M. Jones, D.S. Muller, S.J. Persaud
  Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2015; 1852(5): 962.     CrossRef
• Mild Electrical Stimulation Increases Stress Resistance and Suppresses Fat Accumulation via Activation of LKB1-AMPK Signaling Pathway in C. elegans
  Shingo Matsuyama, Masataka Moriuchi, Mary Ann Suico, Shuichiro Yano, Saori Morino-Koga, Tsuyoshi Shuto, Kunitoshi Yamanaka, Tatsuya Kondo, Eiichi Araki, Hirofumi Kai, Deyu Fang
  PLoS ONE.2014; 9(12): e114690.     CrossRef

Citations

Citations to this article as recorded by  

• Associations between dietary patterns and renal impairment in individuals with diabetes: a cross‐sectional study
  Ziling Ding, Xingzhe Wu, Chao Liu, Ruixue Ying, Yi Zhang, Shiqi Zhang, Qiu Zhang, Honglin Hu, Fang Dai
  Journal of Human Nutrition and Dietetics.2024; 37(1): 193.     CrossRef
• Determinants of diabetic nephropathy among adult diabetic patients on follow-up at public hospitals in Addis Ababa, Ethiopia: A case-control study
  Diriba Etana Tola, Zenebu Begna Bayissa, Tamene Abera Desissa, Lencho Kajela Solbana, Azeb Haile Tesfaye, Bikila Fufa Eba
  SAGE Open Medicine.2024;[Epub]     CrossRef
• Kidney Health Plan 2033 in Korea: bridging the gap between the present and the future
  Do Hyoung Kim, Young Youl Hyun, Jin Joo Cha, Sua Lee, Hyun Kyung Lee, Jong Wook Choi, Su-Hyun Kim, Sang Youb Han, Cheol Whee Park, Eun Young Lee, Dae Ryong Cha, Sung Gyun Kim, Chun Soo Lim, Sun-Hee Park
  Kidney Research and Clinical Practice.2024; 43(1): 8.     CrossRef
• Risk Factors of Microalbuminuria among Patients with Type 2 Diabetes Mellitus in Korea: A Cross-Sectional Study Based on 2019–2020 Korea National Health and Nutrition Examination Survey Data
  Eun Sook Bae, Jung Yi Hur, Hyung Soon Jang, Jeong Suk Kim, Hye Seung Kang
  International Journal of Environmental Research and Public Health.2023; 20(5): 4169.     CrossRef
• CORRELATION OF VASCULAR ENDOTHELIAL FUNCTION AND INFLAMMATORY FACTORS WITH RENAL FUNCTION IN PATIENTS WITH DIABETIC NEPHROPATHY
  A. Y. Mammadzada, Sh. G. Ismayilova, Sh. S. Ibrahimova, N. I. Huseynova, L. A. Huseyn
  World of Medicine and Biology.2023; 19(85): 129.     CrossRef
• Synopsis of the Korean Society of Nephrology 2023 Practical Recommendations for the Management of Diabetic Kidney Disease
  Sungjin Chung
  The Korean Journal of Medicine.2023; 98(6): 270.     CrossRef
• 3-Hydroxybutyrate Ameliorates the Progression of Diabetic Nephropathy
  Jeeyoun Jung, Woo Yeong Park, Yun Jin Kim, Mikyung Kim, Misun Choe, Kyubok Jin, Ji Hae Seo, Eunyoung Ha
  Antioxidants.2022; 11(2): 381.     CrossRef
• Development and Validation of a Model That Predicts the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study
  Jing Yang, Sheng Jiang
  International Journal of General Medicine.2022; Volume 15: 5089.     CrossRef
• Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
  Nam Hoon Kim, Nan Hee Kim
  Diabetes & Metabolism Journal.2022; 46(4): 543.     CrossRef
• Development and assessment of diabetic nephropathy prediction model using hub genes identified by weighted correlation network analysis
  Xuelian Zhang, Yao Wang, Zhaojun Yang, Xiaoping Chen, Jinping Zhang, Xin Wang, Xian Jin, Lili Wu, Xiaoyan Xing, Wenying Yang, Bo Zhang
  Aging.2022; 14(19): 8095.     CrossRef
• Neutrophil–lymphocyte ratio as an inflammatory biomarker of diabetic nephropathy among type 2 diabetes mellitus patients: A comparative cross-sectional study
  Mesfin Zewude Gurmu, Solomon Genet, Solomon Tebeje Gizaw, Teka Obsa Feyisa, Natesan Gnanasekaran
  SAGE Open Medicine.2022; 10: 205031212211402.     CrossRef
• Did Sejong the Great have ankylosing spondylitis? The oldest documented case of ankylosing spondylitis
  JiHwan Lee
  International Journal of Rheumatic Diseases.2021; 24(2): 203.     CrossRef
• Protective effects of klotho on palmitate-induced podocyte injury in diabetic nephropathy
  Jeong Suk Kang, Seung Seob Son, Ji-Hye Lee, Seong Woo Lee, Ah Reum Jeong, Eun Soo Lee, Seung-Kuy Cha, Choon Hee Chung, Eun Young Lee, Partha Mukhopadhyay
  PLOS ONE.2021; 16(4): e0250666.     CrossRef
• Nomogram for the prediction of diabetic nephropathy risk among patients with type 2 diabetes mellitus based on a questionnaire and biochemical indicators: a retrospective study
  Yuhong Hu, Rong Shi, Ruohui Mo, Fan Hu
  Aging.2020; 12(11): 10317.     CrossRef
• Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction
  Hee-Sung Ahn, Jong Ho Kim, Hwangkyo Jeong, Jiyoung Yu, Jeonghun Yeom, Sang Heon Song, Sang Soo Kim, In Joo Kim, Kyunggon Kim
  International Journal of Molecular Sciences.2020; 21(12): 4236.     CrossRef
• Urine E-cadherin: A Marker for Early Detection of Kidney Injury in Diabetic Patients
  Michael Koziolek, Gerhard A. Mueller, Gry H. Dihazi, Klaus Jung, Constanze Altubar, Manuel Wallbach, Ivana Markovic, Dirk Raddatz, Olaf Jahn, Hülya Karaköse, Christof Lenz, Henning Urlaub, Abdelhi Dihazi, Abdellatif El El Meziane, Hassan Dihazi
  Journal of Clinical Medicine.2020; 9(3): 639.     CrossRef
• Study of serum pentraxin 3 level in patients with diabetic nephropathy
  Alaaeldin Abdelsalam Dawood, Mai Ashraf Kamel, Thoria Ahmed Omar, Ahmed Ahmed Mohammed Agaba
  The Egyptian Journal of Internal Medicine.2020;[Epub]     CrossRef
• Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting
  Junetae Kim, Sangwon Lee, Eugene Hwang, Kwang Sun Ryu, Hanseok Jeong, Jae Wook Lee, Yul Hwangbo, Kui Son Choi, Hyo Soung Cha
  Journal of Medical Internet Research.2020; 22(12): e18418.     CrossRef
• Long-term effects of various types of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on changes in glomerular filtration rate in Korea
  Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
  Frontiers of Medicine.2019; 13(6): 713.     CrossRef
• Plasma endoglin in Type2 diabetic patients with nephropathy
  Ahmed S. Doghish, Atef A. Bassyouni, Mohamed H. Mahfouz, Heba G. Abd El-Aziz, Rania Y. Zakaria
  Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(1): 764.     CrossRef
• Cigarette smoking as a risk factor for diabetic nephropathy: A systematic review and meta-analysis of prospective cohort studies
  Dan Liao, Liang Ma, Jing Liu, Ping Fu, Noël C. Barengo
  PLOS ONE.2019; 14(2): e0210213.     CrossRef
• Risk factors for diabetic nephropathy complications in community patients with type 2 diabetes mellitus in Shanghai: Logistic regression and classification tree model analysis
  Jieqiong Lou, Limei Jing, Hui Yang, Fei Qin, Wen Long, Rong Shi
  The International Journal of Health Planning and Management.2019; 34(3): 1013.     CrossRef
• Predictive Factors for Efficacy of AST-120 Treatment in Diabetic Nephropathy: a Prospective Single-Arm, Open-Label, Multi-Center Study
  You-Cheol Hwang, Se Won Kim, Kyu Yeon Hur, Bong-Soo Cha, In Joo Kim, Tae Sun Park, Sei Hyun Baik, Kun Ho Yoon, Kwan Woo Lee, In Kyu Lee, Moon-Kyu Lee
  Journal of Korean Medical Science.2019;[Epub]     CrossRef
• Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease
  Ji Hye Huh, Minyoung Lee, So Young Park, Jae Hyeon Kim, Byung-Wan Lee
  Diabetes & Metabolism Journal.2018; 42(3): 215.     CrossRef
• Meta‑analysis of the benefit of sitagliptin treatment in patients with type 2 diabetes complicated with incipient nephropathy
  Wei Liu, Jiangyi Yu, Qianhua Yan, Lijuan Wang, Nan Li, Wei Xiong
  Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
• MicroRNA‐326‐3p ameliorates high glucose and ox‐LDL‐IC‐ induced fibrotic injury in renal mesangial cells by targeting FcγRIII
  Yiting Wang, Rui Zhang, Junlin Zhang, Fang Liu
  Nephrology.2018; 23(11): 1031.     CrossRef
• The Global Epidemiology of Diabetes and Kidney Disease
  Digsu N. Koye, Dianna J. Magliano, Robert G. Nelson, Meda E. Pavkov
  Advances in Chronic Kidney Disease.2018; 25(2): 121.     CrossRef
• Evaluation of the association between the number of natural teeth and anemia among Korean adults using nationally representative data
  Kyungdo Han, Jun‐Beom Park
  Journal of Periodontology.2018; 89(10): 1184.     CrossRef
• Correlation of vascular endothelial function and coagulation factors with renal function and inflammatory factors in patients with diabetic nephropathy
  Jie Sun, Caiyan Liu
  Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
• Cigarette smoking and risk of albuminuria in patients with type 2 diabetes: a systematic review and meta-analysis of observational studies
  Haili Xu, Jinliu Suo, Jing Lian
  International Urology and Nephrology.2018; 50(5): 911.     CrossRef
• Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
  Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
  Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
• Association between the number of natural teeth and diabetic retinopathy among type 2 diabetes mellitus
  Su Jeong Song, Kyungdo Han, Seong-su Lee, Jun-Beom Park
  Medicine.2017; 96(47): e8694.     CrossRef
• Arterial Stiffness Is More Associated with Albuminuria than Decreased Glomerular Filtration Rate in Patients with Type 2 Diabetes Mellitus: The REBOUND Study
  Jong Ho Kim, Sang Soo Kim, In Joo Kim, Bo Hyun Kim, Ja Young Park, Chang Won Lee, Ji Hye Suk, Sun Hae Shin, Sung Pyo Son, Min Chul Kim, Jun Hyeob Ahn, Kwang Jae Lee, Min Jung Kwon, Soon Hee Lee, Jeong Hyun Park
  Journal of Diabetes Research.2017; 2017: 1.     CrossRef
• Determinants of diabetic nephropathy in Ayder Referral Hospital, Northern Ethiopia: A case-control study
  Solomon Hintsa, Lamessa Dube, Mebrahtu Abay, Teklit Angesom, Abdulhalik Workicho, Petter Bjornstad
  PLOS ONE.2017; 12(4): e0173566.     CrossRef
• Comparison between Atorvastatin and Rosuvastatin in Renal Function Decline among Patients with Diabetes
  Eugene Han, Gyuri Kim, Ji-Yeon Lee, Yong-ho Lee, Beom Seok Kim, Byung-Wan Lee, Bong-Soo Cha, Eun Seok Kang
  Endocrinology and Metabolism.2017; 32(2): 274.     CrossRef
• Association between underweight and tooth loss among Korean adults
  In-Seok Song, Kyungdo Han, Jae-Jun Ryu, Jun-Beom Park
  Scientific Reports.2017;[Epub]     CrossRef
• Variability in glycated albumin levels predicts the progression of diabetic nephropathy
  Su Bin Park, Sang Soo Kim, In Joo Kim, Yoon Jeong Nam, Kang Hee Ahn, Jong Ho Kim, Yun Kyung Jeon, Bo Hyun Kim, Sang Heon Song, Ihm Soo Kwak, Eun Kyung Lee, Yong Ki Kim
  Journal of Diabetes and its Complications.2017; 31(6): 1041.     CrossRef
• Low serum bilirubin level predicts the development of chronic kidney disease in patients with type 2 diabetes mellitus
  Kang Hee Ahn, Sang Soo Kim, Won Jin Kim, Jong Ho Kim, Yun Jeong Nam, Su Bin Park, Yun Kyung Jeon, Bo Hyun Kim, In Joo Kim, Yong Ki Kim
  The Korean Journal of Internal Medicine.2017; 32(5): 875.     CrossRef
• Periodontitis is associated with diabetic retinopathy in non-obese adults
  Su Jeong Song, Seong-su Lee, Kyungdo Han, Jun-Beom Park
  Endocrine.2017; 56(1): 82.     CrossRef
• Baseline Cardiovascular Characteristics of Adult Patients with Chronic Kidney Disease from the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD)
  Hyoungnae Kim, Tae-Hyun Yoo, Kyu Hun Choi, Kook-Hwan Oh, Joongyub Lee, Soo Wan Kim, Tae Hee Kim, Suah Sung, Seung Hyeok Han
  Journal of Korean Medical Science.2017; 32(2): 231.     CrossRef
• Addition of nonalbumin proteinuria to albuminuria improves prediction of type 2 diabetic nephropathy progression
  Jong Ho Kim, Seo Young Oh, Eun Heui Kim, Min Jin Lee, Yun Kyung Jeon, Bo Hyun Kim, Jin Mi Kim, Yong Ki Kim, Sang Soo Kim, In Joo Kim
  Diabetology & Metabolic Syndrome.2017;[Epub]     CrossRef
• Smoking and the risk of diabetic nephropathy in patients with type 1 and type 2 diabetes: a meta-analysis of observational studies
  Ning Jiang, Feng Huang, Xiurong Zhang
  Oncotarget.2017; 8(54): 93209.     CrossRef
• Treatment of diabetic kidney disease: current and future targets
  Mi-Kyung Kim
  The Korean Journal of Internal Medicine.2017; 32(4): 622.     CrossRef
• Analysis and comparison of the cost-effectiveness of statins according to the baseline low-density lipoprotein cholesterol level in Korea
  Y. J. Jeong, H. Kim, S. J. Baik, T. M. Kim, S. J. Yang, S.-H. Lee, J.-H. Cho, H. Lee, H. W. Yim, I. Y. Choi, K.-H. Yoon, H.-S. Kim
  Journal of Clinical Pharmacy and Therapeutics.2017; 42(3): 292.     CrossRef
• Mechanistic Insight and Management of Diabetic Nephropathy: Recent Progress and Future Perspective
  Rui Xue, Dingkun Gui, Liyang Zheng, Ruonan Zhai, Feng Wang, Niansong Wang
  Journal of Diabetes Research.2017; 2017: 1.     CrossRef
• Nonalbuminuric Renal Insufficiency: Can It Be a Novel Category of Diabetic Nephropathy?
  Masami Tanaka, Hiroshi Itoh
  Endocrinology and Metabolism.2016; 31(4): 533.     CrossRef
• Current Challenges in Diabetic Nephropathy: Early Diagnosis and Ways to Improve Outcomes
  Sang Soo Kim, Jong Ho Kim, In Joo Kim
  Endocrinology and Metabolism.2016; 31(2): 245.     CrossRef
• Functional mechanisms for diabetic nephropathy-associated genetic variants
  Chengxin Gong, Yonghu Xu, Yongfang Fan, Xingzi Liu, Chaopeng Xiong, Luling He, Changle Liu, Shenqiang Rao, Wen Xiao, Lu Ding, Lan Tang, Fangfang Hu, Mengqi Xiong, Mei Yang, Shangdong Liang, Hong Xu
  Genes & Genomics.2016; 38(7): 595.     CrossRef
• Factors Influencing Intention to Receive Examination of Diabetes Complications
  Yi-Lin Hsieh, Fang-Hsin Lee, Chien-Liang Chen, Ming-Fong Chang, Pei-Hsuan Han
  Asian Nursing Research.2016; 10(4): 289.     CrossRef
• Associations between the number of natural teeth and renal dysfunction
  Hye Min Choi, Kyungdo Han, Yong Gyu Park, Jun-Beom Park
  Medicine.2016; 95(34): e4681.     CrossRef
• Decreased plasma α-Klotho predict progression of nephropathy with type 2 diabetic patients
  Sang Soo Kim, Sang Heon Song, In Joo Kim, Eun Young Lee, Su Mi Lee, Choon Hee Chung, Ihm Soo Kwak, Eun Kyung Lee, Yong Ki Kim
  Journal of Diabetes and its Complications.2016; 30(5): 887.     CrossRef
• The Association Between Smoking Tobacco After a Diagnosis of Diabetes and the Prevalence of Diabetic Nephropathy in the Korean Male Population
  Hyungseon Yeom, Jung Hyun Lee, Hyeon Chang Kim, Il Suh
  Journal of Preventive Medicine and Public Health.2016; 49(2): 108.     CrossRef
• Effects of Small Dense LDL in Diabetic Nephropathy in Females with Type 2 Diabetes Mellitus
  Seongyul Ryu, Youngwoo Kim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Hyun Baek, Ki-Ho Song, Kyung-Jin Yun
  Journal of Lipid and Atherosclerosis.2016; 5(1): 11.     CrossRef
• Translational genomics for human diseases: toward a new era of precision medicine
  Yoon Shin Cho, Ki Wha Chung, Nam-Soo Kim
  Genes & Genomics.2016; 38(7): 573.     CrossRef
• Lipoprotein(a) predicts a new onset of chronic kidney disease in people with Type 2 diabetes mellitus
  J.‐S. Yun, Y.‐B. Ahn, K.‐H. Song, K.‐D. Yoo, Y.‐M. Park, H.‐W. Kim, S.‐H. Ko
  Diabetic Medicine.2016; 33(5): 639.     CrossRef
• The association between abnormal heart rate variability and new onset of chronic kidney disease in patients with type 2 diabetes: A ten-year follow-up study
  Jae-Seung Yun, Yu-Bae Ahn, Ki-Ho Song, Ki-Dong Yoo, Hyung-Wook Kim, Yong-Moon Park, Seung-Hyun Ko
  Diabetes Research and Clinical Practice.2015; 108(1): 31.     CrossRef
• Central obesity is an independent risk factor for microalbuminuria in both the general Korean women and nondiabetic nonhypertensive subpopulation: Association of microalbuminuria and metabolic syndrome from the Korea National Health and Nutrition Examinat
  John Hoon Rim, Yong-ho Lee, Bong-Soo Cha, Sang-Guk Lee, Jeong-Ho Kim
  Clinica Chimica Acta.2015; 448: 74.     CrossRef
• Diabetic Kidney Disease: From Epidemiology to Clinical Perspectives
  Cheol Whee Park
  Diabetes & Metabolism Journal.2014; 38(4): 252.     CrossRef

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• Inadvertent intramuscular injection risk with subcutaneous insulin injections and risk predictors in adults: a cross-sectional sonographic study
  U. A. Liyanage, Y. Mathangasinghe, C. K. Liyanage, E. S. Wijewickrama, D. Mahathanthila, A. J. Dharmawansa, S. Jeyerajesingham, D. S. Warapitiya, M. D. M. S. Wijayabandara, B. C. T. A. N. W. M. R. C. S. Kempitiya, A. Aravinthan, L. M. D. T. Jayasekara, N.
  International Journal of Diabetes in Developing Countries.2023; 43(5): 731.     CrossRef
• COVID-19 vaccination and the skin to deltoid muscle distance in adults with diabetes
  Marjan Doppen, Ali Mirjalili, Matire Harwood, Allie Eathorne, Irene Braithwaite, Jonathan Bong, Louis Kirton, Ruth Semprini, Mark Weatherall, Alex Semprini, Ciléin Kearns, Melissa Black, Stacey Kung, Michaela Walton, Richard Beasley, Thomas Hills
  Vaccine: X.2023; 13: 100248.     CrossRef
• Integration of capillaric strain sensors toward recognition of human movements
  Hudson Gasvoda, Nick Cmager, Rana Altay, Ju Young Lee, I. Emre Araci
  Sensors & Diagnostics.2023; 2(1): 212.     CrossRef
• What variables should inform needle length choice for deltoid intramuscular injection? A systematic review
  Ciléin Kearns, Claire Houghton, Emily Dickinson, Lee Hatter, Pepa Bruce, Srinidhi Krishnamoorthy, Mark Weatherall, Thomas Hills, Marjan Doppen, Seyed Ali Mirjalili, Richard Beasley
  BMJ Open.2023; 13(1): e063530.     CrossRef
• Investigation of appropriate needle length considering skin thickness with the real injection posture for insulin injections in diabetic patients
  Aya Torii-Goto, Kana Hirai, Yuri Inukai, Yoshimi Hoshina, Kazumi Shiomi, Junko Ito, Masae Yoshikawa
  Journal of Pharmaceutical Health Care and Sciences.2023;[Epub]     CrossRef
• Machine Learning-Based Prediction of Abdominal Subcutaneous Fat Thickness During Pregnancy
  Moon Sook Hwang, Eunjeong Song, Jeonghee Ahn, Seungmi Park
  Metabolic Syndrome and Related Disorders.2023; 21(9): 479.     CrossRef
• Human continuous glucose monitors for measurement of glucose in dairy cows
  M.K.H. Byrd, A.G. Arneson, D.R. Soffa, J.W. Stewart, M.L. Rhoads
  JDS Communications.2022; 3(1): 78.     CrossRef
• A finite element model of abdominal human tissue for improving the accuracy in insulin absorption assessment: A feasibility study
  Pasquale Arpaia, Davide Cuneo, Sabrina Grassini, Francesca Mancino, Simone Minucci, Nicola Moccaldi, Isabella Sannino
  Measurement: Sensors.2021; 18: 100218.     CrossRef
• Abdominal skin subcutaneous fat thickness over the gestational period in Korean pregnant women: a descriptive observational study
  Moon Sook Hwang
  Korean Journal of Women Health Nursing.2021; 27(4): 318.     CrossRef
• User experience for manual injection of 2 mL viscous solutions is enhanced by a new prefillable syringe with a staked 8 mm ultra-thin wall needle
  Aurélie Pager, Anne Combedazou, Karen Guerrero, Tzvetelina Tzvetkova-Chevolleau, Didier Morel, Cécile Frolet, Stanislav Glezer
  Expert Opinion on Drug Delivery.2020; 17(10): 1485.     CrossRef
• Evaluating the Impact of Human Factors and Pen Needle Design on Insulin Pen Injection
  Christopher Rini, Bruce C. Roberts, Didier Morel, Rick Klug, Benjamin Selvage, Ronald J. Pettis
  Journal of Diabetes Science and Technology.2019; 13(3): 533.     CrossRef
• Subcutaneous Injection of Drugs: Literature Review of Factors Influencing Pain Sensation at the Injection Site
  Iris Usach, Rafael Martinez, Teodora Festini, José-Esteban Peris
  Advances in Therapy.2019; 36(11): 2986.     CrossRef
• The Injection Technique Factor: What You Don’t Know or Teach Can Make a Difference
  Laurence J. Hirsch, Kenneth W. Strauss
  Clinical Diabetes.2019; 37(3): 227.     CrossRef
• Factors associated with removal difficulties of etonogestrel-containing contraceptive implants (Nexplanon ® )
  Julien Chevreau, David Krief, Osama Abou Arab, Mickaël Zitoun, Arthur Foulon, Fabrice Sergent, Jean Gondry
  European Journal of Obstetrics & Gynecology and Reproductive Biology.2018; 224: 81.     CrossRef
• Insulin Injection Technique in China Compared with the Rest of the World
  Zhenqiang Song, Xiaohui Guo, Linong Ji, Xiao Huang, Laurence J. Hirsch, Kenneth W. Strauss
  Diabetes Therapy.2018; 9(6): 2357.     CrossRef
• Ultrasound-guided measurement of skin and subcutaneous tissue thickness in children with diabetes and recommendations for giving insulin injections
  Soo Ting Joyce Lim, Yuen Ching Angela Hui, Pei Kwee Lim, Chin Choo Evelyn Lim, Yen Yen Chia, Rashida Farhad Vasanwala
  Journal of Clinical & Translational Endocrinology.2018; 12: 26.     CrossRef
• Comment on the New Indian Injection Technique Recommendations: Critical Appraisal of the Real-World Implementation of the Current Guidelines
  Felice Strollo, Sandro Gentile
  Diabetes Therapy.2017; 8(3): 507.     CrossRef
• Worldwide Injection Technique Questionnaire Study
  Anders H. Frid, Laurence J. Hirsch, Astrid R. Menchior, Didier R. Morel, Kenneth W. Strauss
  Mayo Clinic Proceedings.2016; 91(9): 1212.     CrossRef
• Skin and subcutaneous tissue thickness at insulin injection sites in Chinese diabetes patients: Clinical implications
  W. Wang, X. Guo, G. Shen, G. Bai, Z. Wei, J. Liu, L. Hirsch, K. Strauss
  Diabetes & Metabolism.2016; 42(5): 374.     CrossRef
• New Insulin Delivery Recommendations
  Anders H. Frid, Gillian Kreugel, Giorgio Grassi, Serge Halimi, Debbie Hicks, Laurence J. Hirsch, Mike J. Smith, Regine Wellhoener, Bruce W. Bode, Irl B. Hirsch, Sanjay Kalra, Linong Ji, Kenneth W. Strauss
  Mayo Clinic Proceedings.2016; 91(9): 1231.     CrossRef
• Le tissu sous-cutané et l’insuline : Une cohabitation délicate Revue de la littérature
  K. Strauss, S. Halimi
  Médecine des Maladies Métaboliques.2015; 9(5): 504.     CrossRef
• Subcutaneous Injection Depth Does Not Affect the Pharmacokinetics or Glucodynamics of Insulin Lispro in Normal Weight or Healthy Obese Subjects
  Amparo de la Peña, Kwee P. Yeo, Helle Linnebjerg, Edward Catton, Shobha Reddy, Patricia Brown-Augsburger, Linda Morrow, Debra A. Ignaut
  Journal of Diabetes Science and Technology.2015; 9(4): 824.     CrossRef

Citations

Citations to this article as recorded by  

• The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis
  Flemming Witt Udsen, Stine Hangaard, Clara Bender, Jonas Andersen, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Sisse Laursen
  Journal of Diabetes Science and Technology.2023; 17(3): 782.     CrossRef
• Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes
  Kristin J Konnyu, Sharlini Yogasingam, Johanie Lépine, Katrina Sullivan, Mostafa Alabousi, Alun Edwards, Michael Hillmer, Sathya Karunananthan, John N Lavis, Stefanie Linklater, Braden J Manns, David Moher, Sameh Mortazhejri, Samir Nazarali, P. Alison Pap
  Cochrane Database of Systematic Reviews.2023;[Epub]     CrossRef
• Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
  Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
  Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
• Evaluation of nurse‐led social media intervention for diabetes self‐management: A mixed‐method study
  Su Hyun Kim, Younghee Kim, Sookyung Choi, Bomin Jeon
  Journal of Nursing Scholarship.2022; 54(5): 569.     CrossRef
• ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes in adolescence
  John W. Gregory, Fergus J. Cameron, Kriti Joshi, Mirjam Eiswirth, Christopher Garrett, Katharine Garvey, Shivani Agarwal, Ethel Codner
  Pediatric Diabetes.2022; 23(7): 857.     CrossRef
• Diabetes Self-Management Education and Support to Improve Outcomes for Children and Young Adults With Type 1 Diabetes: An Umbrella Review of Systematic Reviews
  Latika Rohilla, Sukhpal Kaur, Mona Duggal, Prahbhjot Malhi, Bhavneet Bharti, Devi Dayal
  The Science of Diabetes Self-Management and Care.2021; 47(5): 332.     CrossRef
• Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis
  María Begoña Martos-Cabrera, Almudena Velando-Soriano, Laura Pradas-Hernández, Nora Suleiman-Martos, Guillermo A. Cañadas-De la Fuente, Luis Albendín-García, José L. Gómez-Urquiza
  Journal of Clinical Medicine.2020; 9(3): 693.     CrossRef
• Are We Ready to Treat Our Diabetes Patients Using Social Media? Yes, We Are
  Goran Petrovski, Marija Zivkovic
  Journal of Diabetes Science and Technology.2019; 13(2): 171.     CrossRef
• Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials
  Huidi Tchero, Pauline Kangambega, Christine Briatte, Solenne Brunet-Houdard, Gerald-Reparate Retali, Emmanuel Rusch
  Telemedicine and e-Health.2019; 25(7): 569.     CrossRef
• Distal technologies and type 1 diabetes management
  Danny C Duke, Samantha Barry, David V Wagner, Jane Speight, Pratik Choudhary, Michael A Harris
  The Lancet Diabetes & Endocrinology.2018; 6(2): 143.     CrossRef
• Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study
  Yiyu Zhang, Xia Li, Shuoming Luo, Chaoyuan Liu, Fang Liu, Zhiguang Zhou
  JMIR mHealth and uHealth.2018; 6(9): e11400.     CrossRef
• An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial
  Gyuri Kim, Ji Cheol Bae, Byoung Kee Yi, Kyu Yeon Hur, Dong Kyung Chang, Moon-Kyu Lee, Jae Hyeon Kim, Sang-Man Jin
  BMC Medical Informatics and Decision Making.2017;[Epub]     CrossRef
• Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies
  Shaun W. H. Lee, Leanne Ooi, Yin K. Lai
  Frontiers in Pharmacology.2017;[Epub]     CrossRef
• Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials
  Da Tao, Tieyan Wang, Tieshan Wang, Shuang Liu, Xingda Qu
  Journal of the American Medical Informatics Association.2017; 24(5): 1014.     CrossRef
• Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
  Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
  Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
• Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies
  Dejun Su, Chelsea McBride, Junmin Zhou, Megan S Kelley
  Journal of Telemedicine and Telecare.2016; 22(6): 333.     CrossRef
• Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
  Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
  Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
• Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials
  Dejun Su, Junmin Zhou, Megan S. Kelley, Tzeyu L. Michaud, Mohammad Siahpush, Jungyoon Kim, Fernando Wilson, Jim P. Stimpson, José A. Pagán
  Diabetes Research and Clinical Practice.2016; 116: 136.     CrossRef
• Adherence to Glycemic Monitoring in Diabetes
  Susana R. Patton
  Journal of Diabetes Science and Technology.2015; 9(3): 668.     CrossRef
• Internet-Based Mentoring Program for Patients with Type 1 Diabetes
  Sun-Hye Ko, Seung-Hyun Ko
  Diabetes & Metabolism Journal.2014; 38(2): 107.     CrossRef

Citations

Citations to this article as recorded by  

• Association of vaspin rs2236242 gene polymorphism with serum vaspin level, insulin resistance and diabetes in an Iranian diabetic/pre-diabetic population
  Maria Hosseini, Masoumeh Nezhadali, Mehdi Hedayati
  Journal of Medical Biochemistry.2021; 40(1): 33.     CrossRef
• Adipokines in vascular calcification
  Xuan Xiao, Yi-Zhang Liu, Zhe-Bin Cheng, Jia-Xiang Sun, Yi-Duo Shao, Shun-Lin Qu, Liang Huang, Chi Zhang
  Clinica Chimica Acta.2021; 516: 15.     CrossRef
• Vaspin in atherosclerotic disease and cardiovascular risk in axial spondyloarthritis: a genetic and serological study
  Javier Rueda-Gotor, Raquel López-Mejías, Sara Remuzgo-Martínez, Verónica Pulito-Cueto, Alfonso Corrales, Leticia Lera-Gómez, Virginia Portilla, Íñigo González-Mazón, Ricardo Blanco, Rosa Expósito, Cristina Mata, Javier Llorca, Vanesa Hernández-Hernández,
  Arthritis Research & Therapy.2021;[Epub]     CrossRef
• Review: Vaspin (SERPINA12) Expression and Function in Endocrine Cells
  Patrycja Kurowska, Ewa Mlyczyńska, Monika Dawid, Małgorzata Jurek, Dominika Klimczyk, Joelle Dupont, Agnieszka Rak
  Cells.2021; 10(7): 1710.     CrossRef
• The Role of Anti-Inflammatory Adipokines in Cardiometabolic Disorders: Moving beyond Adiponectin
  Han Na Jung, Chang Hee Jung
  International Journal of Molecular Sciences.2021; 22(24): 13529.     CrossRef
• Pathophysiology of Type 2 Diabetes Mellitus
  Unai Galicia-Garcia, Asier Benito-Vicente, Shifa Jebari, Asier Larrea-Sebal, Haziq Siddiqi, Kepa B. Uribe, Helena Ostolaza, César Martín
  International Journal of Molecular Sciences.2020; 21(17): 6275.     CrossRef
• Associations between vaspin rs2236242 gene polymorphism, walking time and the risk of metabolic syndrome
  E Suliga, D Kozieł, E Cieśla, D Rębak, M Wawszczak, W Adamus-Białek, E Naszydłowska, A Piechowska, S Głuszek
  Balkan Journal of Medical Genetics.2019; 22(1): 41.     CrossRef
• Vaspin promotes insulin sensitivity in elderly muscle and is upregulated in obesity
  Thomas Nicholson, Chris Church, Kostas Tsintzas, Robert Jones, Leigh Breen, Edward T Davis, David J Baker, Simon W Jones
  Journal of Endocrinology.2019; 241(1): 31.     CrossRef
• Anti-Atherogenic Effects of Vaspin on Human Aortic Smooth Muscle Cell/Macrophage Responses and Hyperlipidemic Mouse Plaque Phenotype
  Kengo Sato, Remina Shirai, Maho Yamaguchi, Tomoyuki Yamashita, Koichiro Shibata, Taisuke Okano, Yusaku Mori, Taka-aki Matsuyama, Hatsue Ishibashi-Ueda, Tsutomu Hirano, Takuya Watanabe
  International Journal of Molecular Sciences.2018; 19(6): 1732.     CrossRef
• Are Vaspin and Omentin-1 Related to Insulin Resistance, Blood Pressure and Inflammation in NAFLD Patients?
  Fereshteh Aliasghari, Azimeh Izadi, Masoumeh Jabbari, Bahareh Imani, Bahram Pourghassem Gargari, Foad Asjodi, Sara Ebrahimi
  Journal of Medical Biochemistry.2018; 37(4): 470.     CrossRef
• Novel adipokines vaspin and irisin as risk biomarkers for cardiovascular diseases in type 2 diabetes mellitus
  Dalia H. El-Lebedy, Alshaymaa A. Ibrahim, Ingy O. Ashmawy
  Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2018; 12(5): 643.     CrossRef
• Abdominal fat deposits determined by magnetic resonance imaging in relation to leptin and vaspin levels as well as insulin resistance in the general adult population
  F Genske, J-P Kühn, M Pietzner, G Homuth, W Rathmann, H J Grabe, H Völzke, H Wallaschofski, N Friedrich
  International Journal of Obesity.2018; 42(2): 183.     CrossRef
• Obesity risk prediction among women of Upper Egypt: The impact of serum vaspin and vaspin rs2236242 gene polymorphism
  Soad M. Abdel Ghany, Ayat A. Sayed, Sahar E.M. El-Deek, Hala M. ElBadre, Marwa A. Dahpy, Medhat A. Saleh, Hanan Sharaf El-Deen, Mohamed H. Mustafa
  Gene.2017; 626: 140.     CrossRef
• Circulating omentin-1 might be associated with metabolic health status in different phenotypes of body size
  Shahab Alizadeh, Khadijeh Mirzaei, Chonur Mohammadi, Seyed Ali Keshavarz, Zhila Maghbooli
  Archives of Endocrinology and Metabolism.2017; 61(6): 567.     CrossRef
• Changes in four plasma adipokines before and after sleep in OSAS patients
  Ting Xu, Yong Lin, Siqing Sun, Qiang Zhang
  The Clinical Respiratory Journal.2017; 11(6): 968.     CrossRef
• Association of circulating adipokines with metabolic dyslipidemia in obese versus non-obese individuals
  Mehran Rahimlou, Khadijeh Mirzaei, Seyed Ali Keshavarz, Arash Hossein-nezhad
  Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2016; 10(1): S60.     CrossRef
• The levels of visceral adipose tissue-derived serpin, omentin-1 and tumor necrosis factor-α in the gingival crevicular fluid of obese patients following periodontal therapy
  Umut Balli, Seyma Bozkurt Dogan, Figen Ongoz Dede, Erdim Sertoglu, Gonca Cayır Keles
  Journal of Oral Science.2016; 58(4): 465.     CrossRef
• The Role of Vaspin in the Development of Metabolic and Glucose Tolerance Disorders and Atherosclerosis
  Rumyana Dimova, Tsvetalina Tankova
  BioMed Research International.2015; 2015: 1.     CrossRef
• Letter: Association of Vaspin with Metabolic Syndrome: The Pivotal Role of Insulin Resistance (Diabetes Metab J2014;38:143-9)
  Sung Hee Choi
  Diabetes & Metabolism Journal.2014; 38(3): 240.     CrossRef
• Response: Association of Vaspin with Metabolic Syndrome: The Pivotal Role of Insulin Resistance (Diabetes Metab J2014;38:143-9)
  Alireza Esteghamati, Sina Noshad, Mostafa Mousavizadeh, Ali Zandieh, Manouchehr Nakhjavani
  Diabetes & Metabolism Journal.2014; 38(3): 242.     CrossRef

Citations

Citations to this article as recorded by  

• Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test
  Heeyoung Kang, Juhyeon Kim, Minkyeong Kim, Jin Hyun Kim, Gu Seob Roh, Soo Kyoung Kim
  Neurological Sciences.2024;[Epub]     CrossRef
• Cognitive screening among older adults with diabetes across diverse clinic settings
  Deepashree Gupta, Holly Wilhalme, Gabriela Sauder, Tannaz Moin
  Diabetes Research and Clinical Practice.2023; 196: 110184.     CrossRef
• Occurrence of mild cognitive impairment with hyperinsulinaemia in Africans with advanced type 2 diabetes mellitus
  J. Bashir, I.U. Yarube
  IBRO Neuroscience Reports.2022; 12: 182.     CrossRef
• Risk factors for cognitive decline in type 2 diabetes mellitus patients in Brazil: a prospective observational study
  Ana Cristina Ravazzani de Almeida Faria, Joceline Franco Dall’Agnol, Aline Maciel Gouveia, Clara Inácio de Paiva, Victoria Chechetto Segalla, Cristina Pellegrino Baena
  Diabetology & Metabolic Syndrome.2022;[Epub]     CrossRef
• The TELE-DD project on treatment nonadherence in the population with type 2 diabetes and comorbid depression
  Juan Francisco Roy, María Luisa Lozano del Hoyo, Fernando Urcola-Pardo, Alicia Monreal-Bartolomé, Diana Cecilia Gracia Ruiz, María Mercedes Gómez Borao, Ana Belén Artigas Alcázar, José Pedro Martínez Casbas, Alexandra Aceituno Casas, María Teresa Andaluz
  Scientific Reports.2021;[Epub]     CrossRef
• Potential roles of Glucagon-like peptide-1 and its analogues in cognitive impairment associated with type 2 diabetes mellitus
  Zi-Wei Yu, Rong Liu, Xin Li, Ying Wang, Yu-Hong Fu, Hui-Yao Li, Yue Yuan, Xin-Yuan Gao
  Mechanisms of Ageing and Development.2020; 190: 111294.     CrossRef
• Predictors of Quality of Life among Older People with Mild Cognitive Impairment Attending Urban Primary Care Clinics
  Alexander Lourdes Samy, Shahrul Bahyah Kamaruzzaman, Saroja Krishnaswamy, Wah-Yun Low
  Clinical Gerontologist.2020; 43(4): 441.     CrossRef
• Influence of the Mediterranean and Ketogenic Diets on Cognitive Status and Decline: A Narrative Review
  Federica Vinciguerra, Marco Graziano, Maria Hagnäs, Lucia Frittitta, Andrea Tumminia
  Nutrients.2020; 12(4): 1019.     CrossRef
• ASSOCIATION BETWEEN CHANGES IN THE PSYCHOLOGICAL STATUS AND METABOLIC DISORDERS IN WOMEN WITH ARTERIAL HYPERTENSION, OBESITY AND LEFT VENTRICULAR DIASTOLIC DYSFUNCTION
  N. M. Kyrychenko
  Bulletin of Problems Biology and Medicine.2020; 4(2): 102.     CrossRef
• Insulin resistance is a risk factor for mild cognitive impairment in elderly adults with T2DM
  Hongjun Zhao, Chenglong Wu, Xiaoping Zhang, Liping Wang, Jianhong Sun, Fuyuan Zhuge
  Open Life Sciences.2019; 14(1): 255.     CrossRef
• Oral diabetes medication and risk of dementia in elderly patients with type 2 diabetes
  Ju Young Kim, Young Sook Ku, Hyun Jeong Kim, Nga Thi Trinh, Woorim Kim, Bomi Jeong, Tae Young Heo, Myung Koo Lee, Kyung Eun Lee
  Diabetes Research and Clinical Practice.2019; 154: 116.     CrossRef
• Biomarkers for cognitive decline in patients with diabetes mellitus: evidence from clinical studies
  Xue Zhao, Qing Han, You Lv, Lin Sun, Xiaokun Gang, Guixia Wang
  Oncotarget.2018; 9(7): 7710.     CrossRef
• Low education and lack of spousal relationship are associated with dementia in older adults with diabetes mellitus in Nigeria
  Abdulkareem J. Yusuf, Olusegun Baiyewu, Adamu G. Bakari, Sani B. Garko, Mohammed E.‐B. Jibril, Aishatu M. Suleiman, Haruna M. Muktar, Micheal A. Amedu
  Psychogeriatrics.2018; 18(3): 216.     CrossRef
• Prevalence and risk factors of cognitive dysfunction in patients with type 2 diabetes mellitus receiving care in a reference hospital in Cameroon: a cross-sectional study
  Zainab I. Abba, Yannick Mboue-Djieka, Yacouba N. Mapoure, Cyrille Nkouonlack, Henry N. Luma, Simeon-Pierre Choukem
  International Journal of Diabetes in Developing Countries.2018; 38(2): 158.     CrossRef
• Cognitive impairment among type 2 diabetes mellitus patients at Jimma University Specialized Hospital, Southwest Ethiopia
  Dagnew Baye, Desalegn Wolide Amare, Mossie Andualem
  Journal of Public Health and Epidemiology.2017; 9(11): 300.     CrossRef
• Association of metabolic syndrome and 25‐hydroxyvitamin D with cognitive impairment among elderly Koreans
  Eun Young Lee, Su Jin Lee, Kyoung Min Kim, Young Mi Yun, Bo Mi Song, Jong Eun Kim, Hyeon Chang Kim, Yumie Rhee, Yoosik Youm, Chang Oh Kim
  Geriatrics & Gerontology International.2017; 17(7): 1069.     CrossRef
• Serum uric acid and impaired cognitive function in community-dwelling elderly in Beijing
  Shuangling Xiu, Zheng Zheng, Shaochen Guan, Jin Zhang, Jinghong Ma, Piu Chan
  Neuroscience Letters.2017; 637: 182.     CrossRef
• Assessment of relationship on excess arsenic intake from drinking water and cognitive impairment in adults and elders in arsenicosis areas
  Jiayong Liu, Yanhui Gao, Hongxu Liu, Jing Sun, Yang Liu, Junhua Wu, Dandan Li, Dianjun Sun
  International Journal of Hygiene and Environmental Health.2017; 220(2): 424.     CrossRef
• An Update on Type 2 Diabetes Mellitus as a Risk Factor for Dementia
  Wei Li, Edgar Huang
  Journal of Alzheimer's Disease.2016; 53(2): 393.     CrossRef
• Current status of managing diabetes mellitus in Korea
  Kyoung Hwa Ha, Dae Jung Kim
  The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
• Type 2 diabetes mellitus is associated with brain atrophy and hypometabolism in the ADNI cohort
  Wei Li, Shannon L. Risacher, Edgar Huang, Andrew J. Saykin
  Neurology.2016; 87(6): 595.     CrossRef
• Cardiovascular risk factors and cognitive decline in older people with type 2 diabetes
  Insa Feinkohl, Markéta Keller, Christine M. Robertson, Joanne R. Morling, Stela McLachlan, Brian M. Frier, Ian J. Deary, Mark W. J. Strachan, Jackie F. Price
  Diabetologia.2015; 58(7): 1637.     CrossRef
• Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol
  Eduardo De la Cruz-Cano, Carlos Alfonso Tovilla-Zarate, Emilio Reyes-Ramos, Thelma Beatriz Gonzalez-Castro, Isela Juarez-Castro, Maria Lilia López-Narváez, Ana Fresan
  F1000Research.2015; 4: 7.     CrossRef

Citations

Citations to this article as recorded by  

• Impact of Uncontrolled Diabetes Mellitus on Blood Cells Indices and Plasma Components in Patients Without Nephropathy
  Hisham Ali Waggiallah, Hala Elsir Khair, Rania Saad Suliman, Humood Al Shmrany, Elturabi Elsayed Elkhider, Mudathir Mohamed Ahmed Eltayeb, Nermen Abdelftah Mohamed Ma, Yousif Mohammed Elmosaad
  Pakistan Journal of Biological Sciences.2023; 26(5): 279.     CrossRef
• Effects of statin therapy on mean platelet volume in patients with risk of cardiovascular diseases: a systematic review and meta-analysis
  Shuaifei Ji, Babo Zhang, Xianda Wang, Heng Shi, Lixin Yu, Xiaocheng Wang
  Bioscience Reports.2019;[Epub]     CrossRef
• The relationship between mean platelet volume and diabetic retinopathy: a systematic review and meta-analysis
  ShuaiFei Ji, Jie Zhang, XiuDe Fan, XiQiang Wang, XiaoNa Ning, BaBo Zhang, Heng Shi, Hong Yan
  Diabetology & Metabolic Syndrome.2019;[Epub]     CrossRef
• Platelets volume indexes and cardiovascular risk factors
  Thaís Resende Batista, Roberta Carvalho de Figueiredo, Danyelle Romana Alves Rios
  Revista da Associação Médica Brasileira.2018; 64(6): 554.     CrossRef