Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Previous issues

Page Path
HOME > Browse > Previous issues
13 Previous issues
Filter
Filter
Article category
Keywords
Authors
Funded articles
Volume 38(6); December 2014
Prev issue Next issue
In Memoriam
In Memoriam
Moon-Gi Choi
Diabetes Metab J. 2014;38(6):405-405.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.405
  • 2,207 View
  • 31 Download
PDFPubReader   
Reviews
A Gut Feeling to Cure Diabetes: Potential Mechanisms of Diabetes Remission after Bariatric Surgery
Young Min Cho
Diabetes Metab J. 2014;38(6):406-415.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.406
  • 5,319 View
  • 58 Download
  • 52 Web of Science
  • 41 Crossref
AbstractAbstract PDFPubReader   

A cure for type 2 diabetes was once a mere dream but has now become a tangible and achievable goal with the unforeseen success of bariatric surgery in the treatment of both obesity and type 2 diabetes. Popular bariatric procedures such as Roux-en-Y gastric bypass and sleeve gastrectomy exhibit high rates of diabetes remission or marked improvement in glycemic control. However, the mechanism of diabetes remission following these procedures is still elusive and appears to be very complex and encompasses multiple anatomical and physiological changes. In this article, calorie restriction, improved β-cell function, improved insulin sensitivity, and alterations in gut physiology, bile acid metabolism, and gut microbiota are reviewed as potential mechanisms of diabetes remission after Roux-en-Y gastric bypass and sleeve gastrectomy.

Citations

Citations to this article as recorded by  
  • The Effect of Diet Composition on the Post-operative Outcomes of Roux-en-Y Gastric Bypass in Mice
    Matthew Stevenson, Ankita Srivastava, Maria Nacher, Christopher Hall, Thomas Palaia, Jenny Lee, Chaohui Lisa Zhao, Raymond Lau, Mohamed A. E. Ali, Christopher Y. Park, Florencia Schlamp, Sean P. Heffron, Edward A. Fisher, Collin Brathwaite, Louis Ragolia
    Obesity Surgery.2024; 34(3): 911.     CrossRef
  • A Matched Comparative Analysis of Type-2 Diabetes Mellitus Remission Between Roux-en-Y Gastric Bypass and Sleeve Gastrectomy
    Karl Hage, Pearl Ma, Wissam Ghusn, Kayla Ikemiya, Andres Acosta, Robert A. Vierkant, Barham K. Abu Dayyeh, Kelvin D. Higa, Omar M. Ghanem
    Surgical Innovation.2024; 31(2): 148.     CrossRef
  • Sex-Specific Changes in Body Composition Following Metabolic and Bariatric Surgery Are Associated with the Remission of Metabolic Syndrome
    Xianhao Yi, Weizheng Li, Guohui Wang, Pengzhou Li, Xulong Sun, Haibo Tang, Beibei Cui, Jiapu Ling, Ping Luo, Zhibing Fu, Hui Zhou, Liyong Zhu, Shaihong Zhu
    Obesity Surgery.2023; 33(9): 2780.     CrossRef
  • East Asian perspectives in metabolic and bariatric surgery
    Tae Jung Oh, Hyuk‐Joon Lee, Young Min Cho
    Journal of Diabetes Investigation.2022; 13(5): 756.     CrossRef
  • Long-Term Trajectories in Weight and Health Outcomes Following Multidisciplinary Publicly Funded Bariatric Surgery in Patients with Clinically Severe Obesity (≥ 3 Associated Comorbidities): A Nine-Year Prospective Cohort Study in Australia
    Michelle M.C. Tan, Xingzhong Jin, Craig Taylor, Adrian K. Low, Philip Le Page, David Martin, Ang Li, David Joseph, Nic Kormas
    Journal of Clinical Medicine.2022; 11(15): 4466.     CrossRef
  • Impact of Bariatric Surgery in Reducing Macrovascular Complications in Severely Obese T2DM Patients
    Salman Hussain, Mohd Shahnawaz Khan, Mohammad Chand Jamali, Ali Nasir Siddiqui, Gaurav Gupta, Md Sarfaraj Hussain, Fohad Mabood Husain
    Obesity Surgery.2021; 31(5): 1929.     CrossRef
  • Vertical sleeve gastrectomy induces distinctive transcriptomic responses in liver, fat and muscle
    Chang Ho Ahn, Eun Hye Choi, Hyunjung Lee, Woochan Lee, Jong-Il Kim, Young Min Cho
    Scientific Reports.2021;[Epub]     CrossRef
  • Which predictors could effect on remission of type 2 diabetes mellitus after the metabolic surgery: A general perspective of current studies?
    Gamze Akkus, Tamer Tetiker
    World Journal of Diabetes.2021; 12(8): 1312.     CrossRef
  • Impact of Metabolic Surgery on Type-2 Diabetes Remission
    Cejana de Abrantes Figueiredo Baiocchi, Diana Aristótelis Rocha de Sá
    Current Diabetes Reviews.2021;[Epub]     CrossRef
  • Ileal Transposition Increases Pancreatic β Cell Mass and Decreases β Cell Senescence in Diet-Induced Obese Rats
    Chang Ho Ahn, Eun Hye Choi, Tae Jung Oh, Young Min Cho
    Obesity Surgery.2020; 30(5): 1849.     CrossRef
  • Does Reconstruction Type After Gastric Resection Matters for Type 2 Diabetes Improvement?
    Mariana Costa, Artur Trovão Lima, Tiago Morais, Rui F. Almeida, Mário Nora, Marta Guimarães, Mariana P. Monteiro
    Journal of Gastrointestinal Surgery.2020; 24(6): 1269.     CrossRef
  • Epidemiology, pathophysiology and etiology of obesity in children and adolescents
    Jessica Kerns, Martin Fisher
    Current Problems in Pediatric and Adolescent Health Care.2020; 50(9): 100869.     CrossRef
  • Obesity in Adolescents and Youth: The Case for and against Bariatric Surgery
    Ahmed Khattab, Mark A. Sperling
    The Journal of Pediatrics.2019; 207: 18.     CrossRef
  • Outcomes of Bariatric Surgery Versus Medical Management for Type 2 Diabetes Mellitus: a Meta-Analysis of Randomized Controlled Trials
    Zhamak Khorgami, Saeed Shoar, Alan A. Saber, C. Anthony Howard, Goodarz Danaei, Guido M. Sclabas
    Obesity Surgery.2019; 29(3): 964.     CrossRef
  • Validating Risk Prediction Models of Diabetes Remission After Sleeve Gastrectomy
    Shih-Chiang Shen, Weu Wang, Ka-Wai Tam, Hsin-An Chen, Yen-Kuang Lin, Shih-Yun Wang, Ming-Te Huang, Yen-Hao Su
    Obesity Surgery.2019; 29(1): 221.     CrossRef
  • Long-term diabetes outcomes after bariatric surgery—managing medication withdrawl
    Pedro Souteiro, Sandra Belo, Daniela Magalhães, Jorge Pedro, João Sérgio Neves, Sofia Castro Oliveira, Paula Freitas, Ana Varela, Davide Carvalho
    International Journal of Obesity.2019; 43(11): 2217.     CrossRef
  • What is type 2 diabetes?
    Maria Daniela Hurtado, Adrian Vella
    Medicine.2019; 47(1): 10.     CrossRef
  • Intestinal Glucose Absorption Was Reduced by Vertical Sleeve Gastrectomy via Decreased Gastric Leptin Secretion
    Jinpeng Du, Chaojie Hu, Jie Bai, Miaomiao Peng, Qingbo Wang, Ning Zhao, Yu Wang, Guobin Wang, Kaixiong Tao, Geng Wang, Zefeng Xia
    Obesity Surgery.2018; 28(12): 3851.     CrossRef
  • Non-pharmacological Treatment Options in the Management of Diabetes Mellitus
    Arkiath V Raveendran
    European Endocrinology.2018; 14(2): 31.     CrossRef
  • Ileal transposition rapidly improves glucose tolerance and gradually improves insulin resistance in non-obese type 2 diabetic rats
    Hengliang Zhu, Huaiming Wang, Zhihai Zheng, Bailiang Ye, Xiaojiao Ruan, Xiaofeng Zheng, Guoxin Li
    Gastroenterology Report.2018; 6(4): 291.     CrossRef
  • Small Intestinal Bypass Induces a Persistent Weight-Loss Effect and Improves Glucose Tolerance in Obese Rats
    Jiaqing Cao, Quan Ren, Cai Tan, Jinyuan Duan
    Obesity Surgery.2017; 27(7): 1859.     CrossRef
  • Diabetes improvement and resolution following laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a systematic review of randomized controlled trials
    Emma Osland, Rossita Mohamad Yunus, Shahjahan Khan, Breda Memon, Muhammed Ashraf Memon
    Surgical Endoscopy.2017; 31(4): 1952.     CrossRef
  • The Long-Term Effects of Bariatric Surgery on Type 2 Diabetes Remission, Microvascular and Macrovascular Complications, and Mortality: a Systematic Review and Meta-Analysis
    Binwu Sheng, Khoa Truong, Hugh Spitler, Lu Zhang, Xuetao Tong, Liwei Chen
    Obesity Surgery.2017; 27(10): 2724.     CrossRef
  • Long-term effects of duodenojejunal bypass on diabetes in Otsuka Long–Evans Tokushima Fatty rats
    Sang Kuon Lee, Oh-Joo Kwon, Hae Myung Jeon, Say-June Kim
    Asian Journal of Surgery.2017; 40(4): 262.     CrossRef
  • Interaction Between Atypical Antipsychotics and the Gut Microbiome in a Bipolar Disease Cohort
    Stephanie A. Flowers, Simon J. Evans, Kristen M. Ward, Melvin G. McInnis, Vicki L. Ellingrod
    Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy.2017; 37(3): 261.     CrossRef
  • THE ROLE OF THE SLEEVE GASTRECTOMY AND THE MANAGEMENT OF TYPE 2 DIABETES
    Taíse FUCHS, Marcelo LOUREIRO, Gabriela Heloise BOTH, Heloise Helena SKRABA, Thaís Andrade COSTA-CASAGRANDE
    ABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo).2017; 30(4): 283.     CrossRef
  • Attenuated secretion of glucose-dependent insulinotropic polypeptide (GIP) does not alleviate hyperphagic obesity and insulin resistance in ob/ob mice
    Satoko Shimazu-Kuwahara, Norio Harada, Shunsuke Yamane, Erina Joo, Akiko Sankoda, Timothy J. Kieffer, Nobuya Inagaki
    Molecular Metabolism.2017; 6(3): 288.     CrossRef
  • Adipose tissue supports normalization of macrophage and liver lipid handling in obesity reversal
    Maayan Vatarescu, Sapir Bechor, Yulia Haim, Tal Pecht, Tanya Tarnovscki, Noa Slutsky, Ori Nov, Hagit Shapiro, Avishai Shemesh, Angel Porgador, Nava Bashan, Assaf Rudich
    Journal of Endocrinology.2017; 233(3): 293.     CrossRef
  • Sleeve Gastrectomy Alters Intestinal Permeability in Diet-Induced Obese Mice
    Claire Blanchard, François Moreau, Julien Chevalier, Audrey Ayer, Damien Garcon, Lucie Arnaud, Jean-Paul Pais de Barros, Thomas Gautier, Michel Neunlist, Bertrand Cariou, Cédric Le May
    Obesity Surgery.2017; 27(10): 2590.     CrossRef
  • Long-term Follow-up for Type 2 Diabetes Mellitus after Gastrectomy in Non-morbidly Obese Patients with Gastric Cancer: the Legitimacy of Onco-metabolic Surgery
    Tae-Hoon Lee, Chang Min Lee, Sungsoo Park, Do Hyun Jung, You Jin Jang, Jong-Han Kim, Seong-Heum Park, Young-Jae Mok
    Journal of Gastric Cancer.2017; 17(4): 283.     CrossRef
  • Preoperative Beta Cell Function Is Predictive of Diabetes Remission After Bariatric Surgery
    Pedro Souteiro, Sandra Belo, João Sérgio Neves, Daniela Magalhães, Rita Bettencourt Silva, Sofia Castro Oliveira, Maria Manuel Costa, Ana Saavedra, Joana Oliveira, Filipe Cunha, Eva Lau, César Esteves, Paula Freitas, Ana Varela, Joana Queirós, Davide Carv
    Obesity Surgery.2017; 27(2): 288.     CrossRef
  • Ileal Transposition Decreases Plasma Lipopolysaccharide Levels in Association with Increased L Cell Secretion in Non-obese Non-diabetic Rats
    Tae Jung Oh, Hyuk-Joon Lee, Young Min Cho
    Obesity Surgery.2016; 26(6): 1287.     CrossRef
  • The Mechanism of Metabolic Surgery: Gastric Center Hypothesis
    Jiangfan Zhu, Radheshyam Gupta, Mahmood Safwa
    Obesity Surgery.2016; 26(7): 1639.     CrossRef
  • Lipids and bariatric procedures Part 2 of 2: scientific statement from the American Society for Metabolic and Bariatric Surgery (ASMBS), the National Lipid Association (NLA), and Obesity Medicine Association (OMA)
    Harold Bays, Shanu N. Kothari, Dan E. Azagury, John M. Morton, Ninh T. Nguyen, Peter H. Jones, Terry A. Jacobson, David E. Cohen, Carl Orringer, Eric C. Westman, Deborah B. Horn, Wendy Scinta, Craig Primack
    Surgery for Obesity and Related Diseases.2016; 12(3): 468.     CrossRef
  • Metabolic Surgery for Type 2 Diabetes Mellitus: Experience from Asia
    Wei-Jei Lee, Lwin Aung
    Diabetes & Metabolism Journal.2016; 40(6): 433.     CrossRef
  • Improved glucose metabolism following bariatric surgery is associated with increased circulating bile acid concentrations and remodeling of the gut microbiome
    Lukasz Kaska, Tomasz Sledzinski, Agnieszka Chomiczewska, Agnieszka Dettlaff-Pokora, Julian Swierczynski
    World Journal of Gastroenterology.2016; 22(39): 8698.     CrossRef
  • In Vivo Models for Incretin Research: From the Intestine to the Whole Body
    Tae Jung Oh
    Endocrinology and Metabolism.2016; 31(1): 45.     CrossRef
  • Contribution of the distal small intestine to metabolic improvement after bariatric/metabolic surgery: Lessons from ileal transposition surgery
    Tae Jung Oh, Chang Ho Ahn, Young Min Cho
    Journal of Diabetes Investigation.2016; 7(S1): 94.     CrossRef
  • EFFECTS OF LONG-TERM ROUX-EN-Y GASTRIC BYPASS ON BODY WEIGHT AND CLINICAL METABOLIC COMORBIDITIES IN BARIATRIC SURGERY SERVICE OF A UNIVERSITY HOSPITAL
    Cátia Ferreira da SILVA, Larissa COHEN, Luciana d'Abreu SARMENTO, Felipe Monnerat Marino ROSA, Eliane Lopes ROSADO, João Régis Ivar CARNEIRO, Antônio Augusto Peixoto de SOUZA, Fernanda Cristina Carvalho Mattos MAGNO
    ABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo).2016; 29( suppl 1): 20.     CrossRef
  • Medication Use Among Patients Prior to Bariatric Surgery
    Jennifer Padden Elliott, Erica L. Gray, Jessie Yu, Melissa A. Kalarchian
    Bariatric Surgical Practice and Patient Care.2015; 10(3): 105.     CrossRef
  • Changes in the salivary protein profile of morbidly obese women either previously subjected to bariatric surgery or not
    Elsa Lamy, Carla Simões, Lénia Rodrigues, Ana Rodrigues Costa, Rui Vitorino, Francisco Amado, Célia Antunes, Isabel do Carmo
    Journal of Physiology and Biochemistry.2015; 71(4): 691.     CrossRef
Current Concepts in Diabetic Retinopathy
Su Jeong Song, Tien Yin Wong
Diabetes Metab J. 2014;38(6):416-425.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.416
  • 5,389 View
  • 50 Download
  • 38 Web of Science
  • 35 Crossref
AbstractAbstract PDFPubReader   

For the past several decades, tremendous efforts have been made to decrease the complications of diabetes, including diabetic retinopathy. New diagnostic modalities like ultrawide field fundus fluorescein angiography and spectral domain optical coherence tomography has allowed more accurate diagnosis of early diabetic retinopathy and diabetic macular edema. Antivascular endothelial growth factors are now extensively used to treat diabetic retinopathy and macular edema with promising results. There remains uncertainty over the long term effects and the socioeconomic costs of these agents.

Citations

Citations to this article as recorded by  
  • Ocular microvascular alteration in patients with myocardial infarction—a new OCTA study
    Jun-Yi Wu, Jin-Yu Hu, Qian-Min Ge, San-Hua Xu, Jie Zou, Min Kang, Ping Ying, Hong Wei, Qian Ling, Liang-Qi He, Cheng Chen, Yi Shao
    Scientific Reports.2024;[Epub]     CrossRef
  • Aldose Reductase as a Key Target in the Prevention and Treatment of Diabetic Retinopathy: A Comprehensive Review
    Alexandra-Ioana Dănilă, Laura Andreea Ghenciu, Emil Robert Stoicescu, Sorin Lucian Bolintineanu, Roxana Iacob, Mihai-Alexandru Săndesc, Alexandra Corina Faur
    Biomedicines.2024; 12(4): 747.     CrossRef
  • Correlation Between Thyroid-Related Hormones and Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients with Normal Thyroid Function: A Retrospective Study
    Mei Xiao, Guangwen Luo, Zhaowei Zhang, Yanfen Liu, Rui Gong, Jianghuan Ke
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 1481.     CrossRef
  • Novel risk score model for non-proliferative diabetic retinopathy based on untargeted metabolomics of venous blood
    Xinyu Wang, Shu Yang, Guangyan Yang, Jialong Lin, Pengfei Zhao, Jingyun Ding, Hongyan Sun, Ting Meng, Ming Ming Yang, Lin Kang, Zhen Liang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Diabetic Retinopathy: An Overview on Mechanisms, Pathophysiology and Pharmacotherapy
    Prawej Ansari, Noushin Tabasumma, Nayla Nuren Snigdha, Nawfal Hasan Siam, Rachana V. N. R. S. Panduru, Shofiul Azam, J. M. A. Hannan, Yasser H. A. Abdel-Wahab
    Diabetology.2022; 3(1): 159.     CrossRef
  • Effect of retinol and α-tocopherol supplementation on photoreceptor and retinal ganglion cell apoptosis in diabetic rats model
    Andi Muhammad Ichsan, Agussalim Bukhari, Subehan Lallo, Upik Anderiani Miskad, Andi Afdal Dzuhry, Itzar Chaidir Islam, Habibah Setyawati Muhiddin
    International Journal of Retina and Vitreous.2022;[Epub]     CrossRef
  • Diabetic retinopathy risk prediction in patients with type 2 diabetes mellitus using a nomogram model
    Qian Wang, Ni Zeng, Hongbo Tang, Xiaoxia Yang, Qu Yao, Lin Zhang, Han Zhang, Ying Zhang, Xiaomei Nie, Xin Liao, Feng Jiang
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Dietary glutamic acid and aspartic acid as biomarkers for predicting diabetic retinopathy
    So Young Park, Jieun Kim, Jung Il Son, Sang Youl Rhee, Do-Yeon Kim, Suk Chon, Hyunjung Lim, Jeong-Taek Woo
    Scientific Reports.2021;[Epub]     CrossRef
  • Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
    Sang Youl Rhee, Eun Sung Jung, Dong Ho Suh, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee
    Scientific Reports.2021;[Epub]     CrossRef
  • Dysbiosis in the Gut Microbiome in Streptozotocin-Induced Diabetes Rats and Follow-Up During Retinal Changes
    Shalem Raj Padakandla, Taraprasad Das, Gumpili Sai Prashanthi, Kiran Kumar Angadi, S. Sreenivasa Reddy, G. Bhanuprakash Reddy, Sisinthy Shivaji
    Investigative Opthalmology & Visual Science.2021; 62(10): 31.     CrossRef
  • Importance of medication adherence in treatment needed diabetic retinopathy
    Chia-Chen Kao, Hui-Min Hsieh, Daniel Yu Lee, Kun-Pin Hsieh, Shwu-Jiuan Sheu
    Scientific Reports.2021;[Epub]     CrossRef
  • Targeting Netrin-1 and -4 as a Novel Diagnostic Parameter and Treatment Option for Diabetic Retinopathy


    Kaleab Alemayehu Zewdie, Muluken Altaye Ayza, Bekalu Amare, Ebrahim M. Yimer
    Clinical Ophthalmology.2020; Volume 14: 1741.     CrossRef
  • Lipoprotein(a) and Apolipoproteins as Predictors for Diabetic Retinopathy and Its Severity in Adults With Type 2 Diabetes: A Case-Cohort Study
    Fatemeh Moosaie, Reza Mohamadhosseinzadeh Davatgari, Fatemeh Dehghani Firouzabadi, Sadaf Esteghamati, Niloofar Deravi, Alipasha Meysamie, Pegah Khaloo, Manouchehr Nakhjavani, Alireza Esteghamati
    Canadian Journal of Diabetes.2020; 44(5): 414.     CrossRef
  • Microfluidic Immunosensor for Point-of-Care-Testing of Beta-2-Microglobulin in Tear
    Surjendu Maity, Subhradip Ghosh, Tamanna Bhuyan, Dipankar Das, Dipankar Bandyopadhyay
    ACS Sustainable Chemistry & Engineering.2020; 8(25): 9268.     CrossRef
  • Correlations of blood lipids with early changes in macular thickness in patients with diabetes
    J. Liang, W. Lei, J. Cheng
    Journal Français d'Ophtalmologie.2019; 42(3): 276.     CrossRef
  • Evaluation of microvascular changes in the perifoveal vascular network using optical coherence tomography angiography (OCTA) in type I diabetes mellitus: a large scale prospective trial
    Javier Zarranz-Ventura, Marina Barraso, Anibal Alé-Chilet, Teresa Hernandez, Cristian Oliva, Jesus Gascón, Anna Sala-Puigdollers, Marc Figueras-Roca, Irene Vinagre, Emilio Ortega, Enric Esmatjes, Alfredo Adan
    BMC Medical Imaging.2019;[Epub]     CrossRef
  • Hyperglycemia Induces Neutrophil Extracellular Traps Formation Through an NADPH Oxidase-Dependent Pathway in Diabetic Retinopathy
    Luoziyi Wang, Xin Zhou, Yizhou Yin, Yuxin Mai, Desai Wang, Xuedong Zhang
    Frontiers in Immunology.2019;[Epub]     CrossRef
  • The relationship of dietary fish intake to diabetic retinopathy and retinal vascular caliber in patients with type 2 diabetes
    Jacqueline Chua, Ai-Ru Chia, Miao Li Chee, Ryan Eyn Kidd Man, Gavin Siew Wei Tan, Ecosse L. Lamoureux, Tien Yin Wong, Mary Foong-Fong Chong, Leopold Schmetterer
    Scientific Reports.2018;[Epub]     CrossRef
  • Intravitreal pro-inflammatory cytokines in non-obese diabetic mice: Modelling signs of diabetic retinopathy
    Odunayo O. Mugisho, Ilva D. Rupenthal, David M. Squirrell, Sarah J. Bould, Helen V. Danesh-Meyer, Jie Zhang, Colin R. Green, Monica L. Acosta, Alfred S Lewin
    PLOS ONE.2018; 13(8): e0202156.     CrossRef
  • Correlation Analysis between Foveal Avascular Zone and Peripheral Ischemic Index in Diabetic Retinopathy: A Pilot Study
    Alessandro Rabiolo, Maria Vittoria Cicinelli, Eleonora Corbelli, Giovanni Baldin, Adriano Carnevali, Rosangela Lattanzio, Lea Querques, Francesco Bandello, Giuseppe Querques
    Ophthalmology Retina.2018; 2(1): 46.     CrossRef
  • Plasma glutamine and glutamic acid are potential biomarkers for predicting diabetic retinopathy
    Sang Youl Rhee, Eun Sung Jung, Hye Min Park, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee
    Metabolomics.2018;[Epub]     CrossRef
  • Clinical Characteristics of Patients with Newly Diagnosed Diabetic Macular Edema in Turkey: A Real-Life Registry Study—TURK-DEM
    Bora Eldem, Sengul Ozdek, Ali Osman Saatci, Emin Ozmert, Esat Ulay, Gulsah Nomak
    Journal of Ophthalmology.2017; 2017: 1.     CrossRef
  • Letter: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404)
    Jae-Seung Yun
    Diabetes & Metabolism Journal.2017; 41(6): 492.     CrossRef
  • Targeting VEGF in eye neovascularization: What's new?
    Marialaura Amadio, Stefano Govoni, Alessia Pascale
    Pharmacological Research.2016; 103: 253.     CrossRef
  • Actualización de la retinopatía diabética para médicos de atención primaria: hacia una mejora de la medicina telemática
    J.E. Muñoz de Escalona-Rojas, A. Quereda-Castañeda, O. García-García
    SEMERGEN - Medicina de Familia.2016; 42(3): 172.     CrossRef
  • Anatomical effects of dexamethasone intravitreal implant in diabetic macular oedema: a pooled analysis of 3-year phase III trials
    Ronald P Danis, Srinivas Sadda, Xiao-Yan Li, Harry Cui, Yehia Hashad, Scott M Whitcup
    British Journal of Ophthalmology.2016; 100(6): 796.     CrossRef
  • Association between LEKR1‐CCNL1 and IGSF21‐KLHDC7A gene polymorphisms and diabetic retinopathy of type 2 diabetes mellitus in the Chinese Han population
    Xiaohui Lin, Jihong Wang, Lixia Yun, Shuhong Jiang, Langen Li, Xiaohai Chen, Zhen Li, Qiang Lu, Yihui Zhang, Xiaocheng Ma
    The Journal of Gene Medicine.2016; 18(10): 282.     CrossRef
  • Current Challenges in Diabetic Retinopathy: Are We Really Doing Better?
    Jae Hyuck Lee, Su Jeong Song
    Endocrinology and Metabolism.2016; 31(2): 254.     CrossRef
  • Nanosystems based on siRNA silencing HuR expression counteract diabetic retinopathy in rat
    Marialaura Amadio, Alessia Pascale, Sarha Cupri, Rosario Pignatello, Cecilia Osera, Velia D⿿Agata, Agata Grazia D⿿Amico, Gian Marco Leggio, Barbara Ruozi, Stefano Govoni, Filippo Drago, Claudio Bucolo
    Pharmacological Research.2016; 111: 713.     CrossRef
  • Lipoprotein(a) predicts the development of diabetic retinopathy in people with type 2 diabetes mellitus
    Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A. Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
    Journal of Clinical Lipidology.2016; 10(2): 426.     CrossRef
  • Nanoengineering of therapeutics for retinal vascular disease
    Nivriti Gahlaut, Sandra Suarez, Md. Imam Uddin, Andrew Y. Gordon, Stephanie M. Evans, Ashwath Jayagopal
    European Journal of Pharmaceutics and Biopharmaceutics.2015; 95: 323.     CrossRef
  • Functional outcome of macular edema in different retinal disorders
    Oren Tomkins-Netzer, Filis Ismetova, Asaf Bar, Sophie Seguin-Greenstein, Michal Kramer, Sue Lightman
    Progress in Retinal and Eye Research.2015; 48: 119.     CrossRef
  • Recent developments in ocular drug delivery
    Hongming Chen
    Journal of Drug Targeting.2015; 23(7-8): 597.     CrossRef
  • Potential New Modes of Treatment of Neurotrophic Keratopathy
    Ryoji Yanai, Teruo Nishida, Tai-Ichiro Chikama, Naoyuki Morishige, Naoyuki Yamada, Koh-Hei Sonoda
    Cornea.2015; 34(Supplement): S121.     CrossRef
  • What have we learnt about the management of diabetic macular edema in the antivascular endothelial growth factor and corticosteroid era?
    Aniruddha Agarwal, Salman Sarwar, Yasir J. Sepah, Quan D. Nguyen
    Current Opinion in Ophthalmology.2015; 26(3): 177.     CrossRef
Therapeutic Approaches for Preserving or Restoring Pancreatic β-Cell Function and Mass
Kyong Yeun Jung, Kyoung Min Kim, Soo Lim
Diabetes Metab J. 2014;38(6):426-436.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.426
  • 6,257 View
  • 117 Download
  • 20 Web of Science
  • 19 Crossref
AbstractAbstract PDFPubReader   

The goal for the treatment of patients with diabetes has today shifted from merely reducing glucose concentrations to preventing the natural decline in β-cell function and delay the progression of disease. Pancreatic β-cell dysfunction and decreased β-cell mass are crucial in the development of diabetes. The β-cell defects are the main pathogenesis in patients with type 1 diabetes and are associated with type 2 diabetes as the disease progresses. Recent studies suggest that human pancreatic β-cells have a capacity for increased proliferation according to increased demands for insulin. In humans, β-cell mass has been shown to increase in patients showing insulin-resistance states such as obesity or in pregnancy. This capacity might be useful for identifying new therapeutic strategies to reestablish a functional β-cell mass. In this context, therapeutic approaches designed to increase β-cell mass might prove a significant way to manage diabetes and prevent its progression. This review describes the various β-cell defects that appear in patients with diabetes and outline the mechanisms of β-cell failure. We also review common methods for assessing β-cell function and mass and methodological limitations in vivo. Finally, we discuss the current therapeutic approaches to improve β-cell function and increase β-cell mass.

Citations

Citations to this article as recorded by  
  • Polychlorinated biphenyls exposure and type 2 diabetes: Molecular mechanism that causes insulin resistance and islet damage
    Qiuli Shan, Jingyu Liu, Fan Qu, Anhui Chen, Wenxing He
    Environmental Toxicology.2024; 39(4): 2466.     CrossRef
  • Beta‐cell function in type 2 diabetes (T2DM): Can it be preserved or enhanced?
    Laure Sayyed Kassem, Aman Rajpal, Margarita Victoria Barreiro, Faramarz Ismail‐Beigi
    Journal of Diabetes.2023; 15(10): 817.     CrossRef
  • Preliminary Evaluation of Potential Properties of Three Probiotics and Their Combination with Prebiotics on GLP-1 Secretion and Type 2 Diabetes Alleviation
    Ran Xiao, Ran Wang, Shusen Li, Xiaohong Kang, Yimei Ren, Erna Sun, Chenyuan Wang, Jingjing He, Jing Zhan, Wen Yi Kang
    Journal of Food Quality.2022; 2022: 1.     CrossRef
  • Preservation effect of imeglimin on pancreatic β-cell mass: Noninvasive evaluation using 111In-exendin-4 SPECT/CT imaging and the perspective of mitochondrial involvements
    Muhammad Fauzi, Takaaki Murakami, Hiroyuki Fujimoto, Ainur Botagarova, Kentaro Sakaki, Sakura Kiyobayashi, Masahito Ogura, Nobuya Inagaki
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effects of boschnaloside from Boschniakia rossica on dysglycemia and islet dysfunction in severely diabetic mice through modulating the action of glucagon-like peptide-1
    Lie-Chwen Lin, Lin-Chien Lee, Cheng Huang, Chiung-Tong Chen, Jen-Shin Song, Young-Ji Shiao, Hui-Kang Liu
    Phytomedicine.2019; 62: 152946.     CrossRef
  • The Potential of Hibiscus sabdariffa Linn in Inducing Glucagon-Like Peptide-1 via SGLT-1 and GLPR in DM Rats
    Neng Tine Kartinah, Fadilah Fadilah, Ermita Ilyas Ibrahim, Yuliana Suryati
    BioMed Research International.2019; 2019: 1.     CrossRef
  • Efficacy of short‑term intensive treatment with insulin pump to improve islet β‑cell function in newly diagnosed type 2 diabetes via inhibition of oxidative stress
    Hai‑Tong Liu, Yan Gao
    Experimental and Therapeutic Medicine.2019;[Epub]     CrossRef
  • When metformin is not enough: Pros and cons of SGLT2 and DPP‐4 inhibitors as a second line therapy
    Angelo Avogaro, Elías Delgado, Ildiko Lingvay
    Diabetes/Metabolism Research and Reviews.2018;[Epub]     CrossRef
  • Metformin prevents glucotoxicity by alleviating oxidative and ER stress–induced CD36 expression in pancreatic beta cells
    Jun Sung Moon, Udayakumar Karunakaran, Suma Elumalai, In-Kyu Lee, Hyoung Woo Lee, Yong-Woon Kim, Kyu Chang Won
    Journal of Diabetes and its Complications.2017; 31(1): 21.     CrossRef
  • The variability in beta‐cell function in placebo‐treated subjects with type 2 diabetes: application of the weight‐HbA1c‐insulin‐glucose (WHIG) model
    Janna K. Duong, Willem de Winter, Steve Choy, Nele Plock, Himanshu Naik, Walter Krauwinkel, Sandra A.G. Visser, Katia M. Verhamme, Miriam C. Sturkenboom, B.H. Stricker, Meindert Danhof
    British Journal of Clinical Pharmacology.2017; 83(3): 487.     CrossRef
  • Regulation of pancreatic β-cell function and mass dynamics by prostaglandin signaling
    Bethany A. Carboneau, Richard M. Breyer, Maureen Gannon
    Journal of Cell Communication and Signaling.2017; 11(2): 105.     CrossRef
  • Effects of low intensity laser acupoint irradiation on inhibiting islet beta-cell apoptosis in rats with type 2 diabetes
    Guoxin Xiong, Leilei Xiong, Xinzhong Li
    Laser Physics.2016; 26(9): 095605.     CrossRef
  • Effects of continuous positive airway pressure treatment on glucose metabolism in patients with obstructive sleep apnea
    Elisabet Martínez-Ceron, Isabel Fernández-Navarro, Francisco Garcia-Rio
    Sleep Medicine Reviews.2016; 25: 121.     CrossRef
  • Efficacy and safety of teneligliptin, a novel dipeptidyl peptidase‐4 inhibitor, in Korean patients with type 2 diabetes mellitus: a 24‐week multicentre, randomized, double‐blind, placebo‐controlled phase III trial
    S. Hong, C.‐Y. Park, K. A. Han, C. H. Chung, B. J. Ku, H. C. Jang, C. W. Ahn, M.‐K. Lee, M. K. Moon, H. S. Son, C. B. Lee, Y.‐W. Cho, S.‐W. Park
    Diabetes, Obesity and Metabolism.2016; 18(5): 528.     CrossRef
  • Senp2 expression was induced by chronic glucose stimulation in INS1 cells, and it was required for the associated induction of Ccnd1 and Mafa
    Hye Seung Jung, Yu Mi Kang, Ho Seon Park, Byung Yong Ahn, Hakmo Lee, Min Joo Kim, Jin Young Jang, Sun-Whe Kim
    Islets.2016; 8(6): 207.     CrossRef
  • ANTIDIABETIC EVALUATION OF CHONEMORPHA MACROPHYLLA ROOTS BY IN VIVO METHODS USING MALE WISTAR ALBINO RATS AND ITS MECHANISM OF ACTION
    K. R. Krishna Kumar, K. K. Srinivasan
    INDIAN DRUGS.2016; 53(12): 42.     CrossRef
  • Comparative gene expression profiles in pancreatic islets associated with agouti yellow mutation and PACAP overexpression in mice
    Kazuya Ikeda, Shuhei Tomimoto, Soken Tsuchiya, Ken-ichi Hamagami, Norihito Shintani, Yukihiko Sugimoto, Atsushi Ichikawa, Atsushi Kasai, Takanobu Nakazawa, Kazuki Nagayasu, Atsuko Hayata-Takano, Akemichi Baba, Hitoshi Hashimoto
    Biochemistry and Biophysics Reports.2015; 2: 179.     CrossRef
  • Therapeutic efficacy of umbilical cord-derived mesenchymal stem cells in patients with type 2 diabetes
    LI-XUE GUAN, HUI GUAN, HAI-BO LI, CUI-AI REN, LIN LIU, JIN-JIN CHU, LONG-JUN DAI
    Experimental and Therapeutic Medicine.2015; 9(5): 1623.     CrossRef
  • p13 overexpression in pancreatic β-cells ameliorates type 2 diabetes in high-fat-fed mice
    Shintaro Higashi, Kazuhiko Katagi, Norihito Shintani, Kazuya Ikeda, Yukihiko Sugimoto, Soken Tsuchiya, Naoki Inoue, Shota Tanaka, Mai Koumoto, Atsushi Kasai, Takanobu Nakazawa, Atsuko Hayata-Takano, Ken-Ichi Hamagami, Shuhei Tomimoto, Takuya Yoshida, Tada
    Biochemical and Biophysical Research Communications.2015; 461(4): 612.     CrossRef
Editorial
Is GDF15 a Novel Biomarker to Predict the Development of Prediabetes or Diabetes?
Kyu Yeon Hur
Diabetes Metab J. 2014;38(6):437-438.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.437
  • 2,692 View
  • 29 Download
  • 7 Web of Science
  • 7 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • Identification of potential lncRNAs and co-expressed mRNAs in gestational diabetes mellitus by RNA sequencing
    Tao Li, Die Hu, Yunhui Gong
    The Journal of Maternal-Fetal & Neonatal Medicine.2024; 35(25): 5125.     CrossRef
  • Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases
    Ana Luisa Cardoso, Adelaide Fernandes, Juan Antonio Aguilar-Pimentel, Martin Hrabě de Angelis, Joana Ribeiro Guedes, Maria Alexandra Brito, Saida Ortolano, Giovambattista Pani, Sophia Athanasopoulou, Efstathios S. Gonos, Markus Schosserer, Johannes Grilla
    Ageing Research Reviews.2018; 47: 214.     CrossRef
  • Increased serum levels of MIC1/GDF15 correlated with bone erosion in spondyloarthritis
    Yingyu Song, Yang Cui, Xiao Zhang, Haobo Lin, Guangfeng Zhang, Hui Zeng, Yonghan Zeng
    Medicine.2018; 97(51): e13733.     CrossRef
  • Mechanisms regulating intestinal barrier integrity and its pathological implications
    Chaithanya Chelakkot, Jaewang Ghim, Sung Ho Ryu
    Experimental & Molecular Medicine.2018; 50(8): 1.     CrossRef
  • Multi–omic analysis of signalling factors in inflammatory comorbidities
    Hui Xiao, Krzysztof Bartoszek, Pietro Lio’
    BMC Bioinformatics.2018;[Epub]     CrossRef
  • Letter: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J2014;38:472-9)
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2015; 39(1): 82.     CrossRef
  • Response: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J2014;38:472-9)
    Jun Hwa Hong, Bon Jeong Ku, Minho Shong
    Diabetes & Metabolism Journal.2015; 39(1): 84.     CrossRef
Original Articles
Arterial Stiffness by Aerobic Exercise Is Related with Aerobic Capacity, Physical Activity Energy Expenditure and Total Fat but not with Insulin Sensitivity in Obese Female Patients with Type 2 Diabetes
Ji Yeon Jung, Kyung Wan Min, Hee Jung Ahn, Hwi Ryun Kwon, Jae Hyuk Lee, Kang Seo Park, Kyung Ah Han
Diabetes Metab J. 2014;38(6):439-448.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.439
  • 4,818 View
  • 33 Download
  • 9 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   
Background

Arterial stiffness is an important factor in atherosclerosis. Thus we examined whether aerobic exercise could reduce arterial stiffness in obese women with type 2 diabetes without diabetic complication.

Methods

A total of 35 women with type 2 diabetes (body mass index, 26.6±2.8 kg/m2; age, 56.4±1.9 years; duration of diabetes, 4.7±4.8 years) were assigned to aerobic exercise group (AEG) or control group (CG). AEG completed a 12-week exercise program (3.6 to 5.2 metabolic equivalents, 3 day/week, 60 min/day), with their exercise activities monitored by accelerometers. We measured abdominal total fat area (TFA), visceral fat area (VFA), and subcutaneous fat area (SFA) by computed tomography, insulin sensitivity by insulin tolerance test (KITT), and augmentation index (AIx) by SphygmoCor at baseline and at the end of the 12-week program.

Results

The AIx was improved in the AEG compared with the CG (P<0.001). The percent change of AIx had significant correlation with the improvement of physical activity energy expenditure (PAEE), aerobic capacity, TFA, and SFA (r=-0.416, P=0.013; r=0.560, P<0.001; r=0.489, P=0.003; r=0.531, P=0.001, respectively), but not with insulin sensitivity, energy intake, or VFA.

Conclusion

Improvement in aortic stiffness by aerobic exercise is related with the improvement of aerobic capacity, PAEE, and total fat but not with insulin sensitivity or energy intake in obese women with type 2 diabetes.

Citations

Citations to this article as recorded by  
  • Relationship between objectively measured physical activity and subclinical cardiovascular disease: a systematic review
    Aparna Narendrula, Ellen Brinza, Christine Horvat Davey, Chris T Longenecker, Allison R Webel
    BMJ Open Sport & Exercise Medicine.2024; 10(1): e001596.     CrossRef
  • Aerobic training reduces pancreatic fat content and improves β‐cell function: A randomized controlled trial using IDEAL‐IQ magnetic resonance imaging
    Min Li, Qidong Zheng, Joshua D. Miller, Panpan Zuo, Xiaodan Yuan, Jitao Feng, Chao Liu, Shan Bao, Qingqing Lou
    Diabetes/Metabolism Research and Reviews.2022;[Epub]     CrossRef
  • Effect of aerobic exercise on waist circumference in adults with overweight or obesity: A systematic review and meta‐analysis
    Alex Armstrong, Klaus Jungbluth Rodriguez, Angelo Sabag, Yorgi Mavros, Helen M. Parker, Shelley E. Keating, Nathan A. Johnson
    Obesity Reviews.2022;[Epub]     CrossRef
  • Aortic waveform responses to insulin in late versus early chronotype with metabolic syndrome
    Mary‐Margaret E. Remchak, Emily M. Heiston, Anna Ballantyne, Brielle L. Dotson, Steven K. Malin
    Physiological Reports.2022;[Epub]     CrossRef
  • Exercise and ectopic fat in type 2 diabetes: A systematic review and meta-analysis
    A. Sabag, K.L. Way, S.E. Keating, R.N. Sultana, H.T. O’Connor, M.K. Baker, V.H. Chuter, J. George, N.A. Johnson
    Diabetes & Metabolism.2017; 43(3): 195.     CrossRef
  • Arterial Stiffness Measured with the Cuff Oscillometric Method Is Predictive of Exercise Capacity in Patients with Cardiac Diseases
    Yasushi Tazawa, Nobuyoshi Mori, Yoshiko Ogawa, Osamu Ito, Masahiro Kohzuki
    The Tohoku Journal of Experimental Medicine.2016; 239(2): 127.     CrossRef
Effectiveness of 3-Day Continuous Glucose Monitoring for Improving Glucose Control in Type 2 Diabetic Patients in Clinical Practice
Soo Kyoung Kim, Hye Jeong Kim, Taehun Kim, Kyu Yeon Hur, Sun Wook Kim, Moon-Kyu Lee, Yong-Ki Min, Kwang-Won Kim, Jae Hoon Chung, Jae Hyeon Kim
Diabetes Metab J. 2014;38(6):449-455.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.449
  • 4,941 View
  • 38 Download
  • 16 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to investigate whether adjusting diabetic treatment regimens according to the information obtained from a continuous glucose monitoring system (CGMS) might lead to improved glycemic control in patients with type 2 diabetes.

Methods

We reviewed the medical charts of 172 patients who used the CGMS for 1 year starting in December 2008 and the records of 1,500 patients who visited their regular outpatient clinics during December 2008. Of these patients, a total of 65 CGMS patients and 301 regular outpatients (control group) were enrolled in the study after propensity score matching. There were no differences in baseline glycated hemoglobin (HbA1c), age, and duration of diabetes between the CGMS and the control groups after propensity score matching. The changes in the HbA1c levels from baseline to 6 months were calculated.

Results

The CGMS group showed a significant improvement in the HbA1c level compared to the control group at 3 months (7.9%±1.6% vs. 7.4%±1.2%, P=0.001) and at 6 months (7.4%±1.2% vs. 7.9%±1.6%, P=0.010). There were significant differences in the treatment modality changes between the CGMS group and the control group.

Conclusion

Using a 3-day CGMS was advantageous for improving glucose control in patients with type 2 diabetes and may help these patients to optimize glycemic control in clinical practice.

Citations

Citations to this article as recorded by  
  • Biological and Clinical Impacts of Glucose Metabolism in Pancreatic Ductal Adenocarcinoma
    Zhao Liu, Hiromitsu Hayashi, Kazuki Matsumura, Norio Uemura, Yuta Shiraishi, Hiroki Sato, Hideo Baba
    Cancers.2023; 15(2): 498.     CrossRef
  • Professional continuous glucose monitoring in patients with diabetes mellitus: A systematic review and meta‐analysis
    Sergio Di Molfetta, Irene Caruso, Angelo Cignarelli, Annalisa Natalicchio, Sebastio Perrini, Luigi Laviola, Francesco Giorgino
    Diabetes, Obesity and Metabolism.2023; 25(5): 1301.     CrossRef
  • American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus
    George Grunberger, Jennifer Sherr, Myriam Allende, Thomas Blevins, Bruce Bode, Yehuda Handelsman, Richard Hellman, Rosemarie Lajara, Victor Lawrence Roberts, David Rodbard, Carla Stec, Jeff Unger
    Endocrine Practice.2021; 27(6): 505.     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
  • A head‐to‐head comparison of personal and professional continuous glucose monitoring systems in people with type 1 diabetes: Hypoglycaemia remains the weak spot
    Othmar Moser, Marlene Pandis, Felix Aberer, Harald Kojzar, Daniel Hochfellner, Hesham Elsayed, Melanie Motschnig, Thomas Augustin, Philipp Kreuzer, Thomas R. Pieber, Harald Sourij, Julia K. Mader
    Diabetes, Obesity and Metabolism.2019; 21(4): 1043.     CrossRef
  • Glucose monitoring in diabetes: from clinical studies to real‐world practice
    Rebecca C Sagar, Afroze Abbas, Ramzi Ajjan
    Practical Diabetes.2019; 36(2): 57.     CrossRef
  • The Effectiveness of Continuous Glucose Monitoring in Patients with Type 2 Diabetes: A Systematic Review of Literature and Meta-analysis
    Cindy Park, Quang A. Le
    Diabetes Technology & Therapeutics.2018; 20(9): 613.     CrossRef
  • Effects of Dapagliflozin on 24-Hour Glycemic Control in Patients with Type 2 Diabetes: A Randomized Controlled Trial
    Robert R. Henry, Poul Strange, Rong Zhou, Jeremy Pettus, Leon Shi, Sergey B. Zhuplatov, Traci Mansfield, David Klein, Arie Katz
    Diabetes Technology & Therapeutics.2018; 20(11): 715.     CrossRef
  • Clinical and economic benefits of professional CGM among people with type 2 diabetes in the United States: analysis of claims and lab data
    Joseph A. Sierra, Mona Shah, Max S. Gill, Zachery Flores, Hiten Chawla, Francine R. Kaufman, Robert Vigersky
    Journal of Medical Economics.2018; 21(3): 225.     CrossRef
  • Role of continuous glucose monitoring for type 2 in diabetes management and research
    Robert Vigersky, Maneesh Shrivastav
    Journal of Diabetes and its Complications.2017; 31(1): 280.     CrossRef
  • Assessing the Therapeutic Utility of Professional Continuous Glucose Monitoring in Type 2 Diabetes Across Various Therapies: A Retrospective Evaluation
    Jothydev Kesavadev, Robert Vigersky, John Shin, Pradeep Babu Sadasivan Pillai, Arun Shankar, Geethu Sanal, Gopika Krishnan, Sunitha Jothydev
    Advances in Therapy.2017; 34(8): 1918.     CrossRef
  • Use of Continuous Glucose Monitoring in Youth-Onset Type 2 Diabetes
    Christine L. Chan
    Current Diabetes Reports.2017;[Epub]     CrossRef
  • The efficacy and safety of adding either vildagliptin or glimepiride to ongoing metformin therapy in patients with type 2 diabetes mellitus
    Gyuri Kim, Sewon Oh, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee
    Expert Opinion on Pharmacotherapy.2017; 18(12): 1179.     CrossRef
  • Morning Spot Urine Glucose-to-Creatinine Ratios Predict Overnight Urinary Glucose Excretion in Patients With Type 2 Diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Sun Hee Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Jeong-Ho Kim, Byung-Wan Lee
    Annals of Laboratory Medicine.2017; 37(1): 9.     CrossRef
  • The Contemporary Role of Masked Continuous Glucose Monitoring in a Real-Time World
    Ian Blumer
    Journal of Diabetes Science and Technology.2016; 10(3): 790.     CrossRef
  • Glycemic Variability: How Do We Measure It and Why Is It Important?
    Sunghwan Suh, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2015; 39(4): 273.     CrossRef
The Glycated Albumin to Glycated Hemoglobin Ratio Might Not Be Associated with Carotid Atherosclerosis in Patients with Type 1 Diabetes
Wonjin Kim, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Diabetes Metab J. 2014;38(6):456-463.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.456
  • 4,218 View
  • 33 Download
  • 9 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

The ratio of glycated albumin to glycated hemoglobin (GA/A1c) is known to be elevated in subjects with type 2 diabetes mellitus (T2DM) who had decreased insulin secretion. Additionally, the carotid intima media thickness (IMT) is greater in T2DM patients with higher GA/A1c ratios. We investigated whether increased GA/A1c ratio and IMT are also associated in type 1 diabetes mellitus (T1DM), which is characterized by lack of insulin secretory capacity.

Methods

In this cross-sectional study, we recruited 81 T1DM patients (33 men, 48 women; mean age 44.1±13.0 years) who underwent carotid IMT, GA, and HbA1c measurements.

Results

The mean GA/A1c ratio was 2.90. Based on these results, we classified the subjects into two groups: group I (GA/A1c ratio <2.90, n=36) and group II (GA/A1c ratio ≥2.90, n=45). Compared with group I, the body mass indexes (BMIs), waist circumferences, and IMTs were lower in group II. GA/A1c ratio was negatively correlated with BMI, urine albumin to creatinine ratio (P<0.001 for both), and both the mean and maximal IMT (P=0.001, both). However, after adjusting the confounding factors, we observed that IMT was no longer associated with GA/A1c ratio.

Conclusion

In contrast to T2DM, IMT was not significantly related to GA/A1c ratio in the subjects with T1DM. This suggests that the correlations between GA/A1c ratio and the parameters known to be associated with atherosclerosis in T2DM could be manifested differently in T1DM. Further studies are needed to investigate these relationships in T1DM.

Citations

Citations to this article as recorded by  
  • Glycated Albumin and Glycated Albumin/HbA1c Predict the Progression of Coronavirus Disease 2019 from Mild to Severe Disease in Korean Patients with Type 2 Diabetes
    Jeongseon Yoo, Youngah Choi, Shin Ae Park, Ji Yeon Seo, Chul Woo Ahn, Jaehyun Han
    Journal of Clinical Medicine.2022; 11(9): 2327.     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
  • Significant liver fibrosis assessed using liver transient elastography is independently associated with low bone mineral density in patients with non-alcoholic fatty liver disease
    Gyuri Kim, Kwang Joon Kim, Yumie Rhee, Sung-Kil Lim, Salvatore Petta
    PLOS ONE.2017; 12(7): e0182202.     CrossRef
  • Determinants of Preclinical Atherosclerosis Are Different in Type 1 and Type 2 Diabetic Women
    P. PIŤHOVÁ, K. ŠTECHOVÁ, J. PIŤHA, V. LÁNSKÁ, M. KVAPIL
    Physiological Research.2016; : 219.     CrossRef
  • Characteristics Predictive for a Successful Switch from Insulin Analogue Therapy to Oral Hypoglycemic Agents in Patients with Type 2 Diabetes
    Gyuri Kim, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Byung-Wan Lee
    Yonsei Medical Journal.2016; 57(6): 1395.     CrossRef
  • Visceral adiposity is associated with altered myocardial glucose uptake measured by 18FDG-PET in 346 subjects with normal glucose tolerance, prediabetes, and type 2 diabetes
    Gyuri Kim, Kwanhyeong Jo, Kwang Joon Kim, Yong-ho Lee, Eugene Han, Hye-jin Yoon, Hye Jin Wang, Eun Seok Kang, Mijin Yun
    Cardiovascular Diabetology.2015;[Epub]     CrossRef
  • Glycated albumin and the risk of micro- and macrovascular complications in subjects with Type 1 Diabetes
    Hye-jin Yoon, Yong-ho Lee, So Ra Kim, Tyler Hyungtaek Rim, Eun Young Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Byung-Wan Lee
    Cardiovascular Diabetology.2015;[Epub]     CrossRef
  • Comparison of Candidate Pairs of Hydrolytic Enzymes for Spectrophotometric-dual-enzyme-simultaneous-assay
    Hongbo Liu, Mei Yuan, Xiaolan Yang, Xiaolei Hu, Juan Liao, Jizheng Dang, Yanling Xie, Jun Pu, Yuanli Li, Chang-Guo Zhan, Fei Liao
    Analytical Sciences.2015; 31(5): 421.     CrossRef
  • Glycated Albumin Levels in Patients with Type 2 Diabetes Increase Relative to HbA1cwith Time
    Hye-jin Yoon, Yong-ho Lee, Kwang Joon Kim, So Ra Kim, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Byung-Wan Lee
    BioMed Research International.2015; 2015: 1.     CrossRef
  • Association of hemoglobin A1c and glycated albumin with carotid atherosclerosis in community-dwelling Japanese subjects: the Hisayama Study
    Naoko Mukai, Toshiharu Ninomiya, Jun Hata, Yoichiro Hirakawa, Fumie Ikeda, Masayo Fukuhara, Taeko Hotta, Masafumi Koga, Udai Nakamura, Dongchon Kang, Takanari Kitazono, Yutaka Kiyohara
    Cardiovascular Diabetology.2015;[Epub]     CrossRef
A Cross-Sectional Study of the Phenotypes of Obesity and Insulin Resistance in Adults with Down Syndrome
Diego Real de Asua, Pedro Parra, Ramón Costa, Fernando Moldenhauer, Carmen Suarez
Diabetes Metab J. 2014;38(6):464-471.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.464
  • 3,691 View
  • 47 Download
  • 24 Web of Science
  • 24 Crossref
AbstractAbstract PDFPubReader   
Background

Despite the confluence of multiple cardiovascular risk factors, subclinical atherosclerotic damage and cardiovascular events remain extremely rare in adults with Down syndrome (DS). We aim to determine the prevalence of obesity and metabolic disorders in an adult cohort with DS and to compare our findings with adults without DS.

Methods

Cross-sectional study of 51 consecutively selected adults with DS living in the community and 51 healthy controls in an outpatient clinic of a tertiary care hospital in Madrid, Spain. Epidemiological data (age and gender), anthropometric data (body mass index and waist-to-height ratio), coexisting clinical conditions, and laboratory data (fasting glucose, insulin, glycated hemoglobin, creatinine, thyroid hormones, vitamins, and lipid profile) were measured and compared between the groups.

Results

Adults with DS were significantly younger and more often men with a higher prevalence of overweight and obesity than controls. Their waist-to-height ratio was higher, and they more frequently had abdominal obesity. The results of an analysis adjusted for age and gender revealed no differences in fasting insulin levels, homeostatic model assessment indexes, or lipid profile between adults with DS and controls.

Conclusion

Adults with DS presented a high prevalence of overweight and obesity. However, we found no differences in lipid profile, prevalence of insulin resistance, or metabolic syndrome between adults with DS and controls.

Citations

Citations to this article as recorded by  
  • Obesity, diabetes and their metabolic correlates in middle‐aged adults with Down syndrome
    J. A. Luchsinger, D. Pang, S. J. Krinsky‐McHale, N. Schupf, J. H. Lee, W. Silverman, W. B. Zigman
    Journal of Intellectual Disability Research.2024; 68(3): 212.     CrossRef
  • Differentiation of the body build and posture in the population of people with intellectual disabilities and Down Syndrome: a systematic review
    Eliza Gaweł, Diana Celebańska, Anna Zwierzchowska
    BMC Public Health.2024;[Epub]     CrossRef
  • Cardiometabolic profiles in children and adults with overweight and obesity and down syndrome
    Nicolas M. Oreskovic, Nicole T. Baumer, Chiara Di Camillo, Michelle Cornachia, Catherine Franklin, Sarah J. Hart, Priya S. Kishnani, Andrew McCormick, Anna L. Milliken, Vasiliki Patsiogiannis, Katherine G. Pawlowski, Stephanie L. Santoro, Sabrina Sargado,
    American Journal of Medical Genetics Part A.2023; 191(3): 813.     CrossRef
  • Long-Term Effects of SARS-CoV-2 in the Brain: Clinical Consequences and Molecular Mechanisms
    Ann-Charlotte Granholm
    Journal of Clinical Medicine.2023; 12(9): 3190.     CrossRef
  • Cut‐off points for isometric handgrip and low limb explosive strength in relation to indicators of overweight/obesity in people with intellectual disabilities: analysis by age groups
    P. Ferrero‐Hernández, C. Farías‐Valenzuela, G. Ferrari, S. Espoz‐Lazo, S. Álvarez‐Arangua, P. Valdivia‐Moral
    Journal of Intellectual Disability Research.2023; 67(11): 1124.     CrossRef
  • Metabolic Diseases and Down Syndrome: How Are They Linked Together?
    Manon Moreau, Soukaina Benhaddou, Rodolphe Dard, Stefania Tolu, Rim Hamzé, François Vialard, Jamileh Movassat, Nathalie Janel
    Biomedicines.2021; 9(2): 221.     CrossRef
  • Effects of Motor-Games-Based Concurrent Training Program on Body Composition Indicators of Chilean Adults with Down Syndrome
    Claudio Farías-Valenzuela, Cristian Cofré-Bolados, Gerson Ferrari, Sebastián Espoz-Lazo, Giovanny Arenas-Sánchez, Sebastián Álvarez-Arangua, Alexis Espinoza-Salinas, Pedro Valdivia-Moral
    Sustainability.2021; 13(10): 5737.     CrossRef
  • PNPLA3 gene polymorphism is associated with liver steatosis in children with Down syndrome
    Diletta Valentini, Antonella Mosca, Chiara Di Camillo, Annalisa Crudele, Maria Rita Sartorelli, Vittorio Scoppola, Luigi Tarani, Alberto Villani, Massimiliano Raponi, Antonio Novelli, Anna Alisi
    Nutrition, Metabolism and Cardiovascular Diseases.2020; 30(9): 1564.     CrossRef
  • Co‐occurring medical conditions in adults with Down syndrome: A systematic review toward the development of health care guidelines. Part II
    George Capone, Mary Stephens, Stephanie Santoro, Brian Chicoine, Peter Bulova, Moya Peterson, Joan Jasien, Anna Jo Smith
    American Journal of Medical Genetics Part A.2020; 182(7): 1832.     CrossRef
  • Adults with Down syndrome challenge another paradigm: When aging no longer entails arterial hypertension
    Emilia Roy‐Vallejo, José María Galván‐Román, Fernando Moldenhauer, Diego Real de Asúa
    The Journal of Clinical Hypertension.2020; 22(7): 1127.     CrossRef
  • Metabolic syndrome and its components in people with intellectual disability: a meta‐analysis
    D. Vancampfort, F. Schuch, T. Van Damme, J. Firth, S. Suetani, B. Stubbs, D. Van Biesen
    Journal of Intellectual Disability Research.2020; 64(10): 804.     CrossRef
  • Evaluation of biochemical and hematological parameters in adults with Down syndrome
    David de Gonzalo-Calvo, Isabel Barroeta, Madalina Nicoleta Nan, José Rives, Diana Garzón, María Carmona-Iragui, Bessy Benejam, Laura Videla, Susana Fernández, Miren Altuna, Sílvia Valldeneu, Rafael Blesa, Alberto Lleó, Francisco Blanco-Vaca, Juan Fortea,
    Scientific Reports.2020;[Epub]     CrossRef
  • Meta-analysis of metabolites involved in bioenergetic pathways reveals a pseudohypoxic state in Down syndrome
    Laszlo Pecze, Elisa B. Randi, Csaba Szabo
    Molecular Medicine.2020;[Epub]     CrossRef
  • Diurnal cortisol and obesity in adolescents with and without Down syndrome
    E. A. Pitchford, R. E. Hasson, J. E. Hornyak, J. C. Lumeng, K. E. Peterson, D. A. Ulrich
    Journal of Intellectual Disability Research.2019; 63(12): 1401.     CrossRef
  • Cardiometabolic Risk and Body Composition in Youth With Down Syndrome
    Sheela N. Magge, Babette S. Zemel, Mary E. Pipan, Samuel S. Gidding, Andrea Kelly
    Pediatrics.2019;[Epub]     CrossRef
  • Acanthosis nigricans and the metabolic syndrome
    Ayse Serap Karadağ, Yi You, Retno Danarti, Safaa Al-Khuzaei, WenChieh Chen
    Clinics in Dermatology.2018; 36(1): 48.     CrossRef
  • Co‐occurring medical conditions in adults with Down syndrome: A systematic review toward the development of health care guidelines
    George T. Capone, Brian Chicoine, Peter Bulova, Mary Stephens, Sarah Hart, Blythe Crissman, Andrea Videlefsky, Katherine Myers, Nancy Roizen, Anna Esbensen, Moya Peterson, Stephanie Santoro, Jason Woodward, Barry Martin, David Smith
    American Journal of Medical Genetics Part A.2018; 176(1): 116.     CrossRef
  • Recomendaciones para la atención a los adultos con síndrome de Down. Revisión de la literatura
    M. González-Cerrajero, M. Quero-Escalada, F. Moldenhauer, C. Suárez Fernández
    Medicina de Familia. SEMERGEN.2018; 44(5): 342.     CrossRef
  • Systematic review and meta-analysis shows a specific micronutrient profile in people with Down Syndrome: Lower blood calcium, selenium and zinc, higher red blood cell copper and zinc, and higher salivary calcium and sodium
    Amene Saghazadeh, Maryam Mahmoudi, Atefeh Dehghani Ashkezari, Nooshin Oliaie Rezaie, Nima Rezaei, Jacobus P. van Wouwe
    PLOS ONE.2017; 12(4): e0175437.     CrossRef
  • Cardiovascular and general health status of adults with Trisomy 21
    Samuel A. Hayes, Shelby Kutty, Joshua Thomas, Joyce T. Johnson, Anji T. Yetman
    International Journal of Cardiology.2017; 241: 173.     CrossRef
  • Feasibility of Assessing Diet with a Mobile Food  Record for Adolescents and Young Adults with  Down Syndrome
    Katherine Bathgate, Jill Sherriff, Helen Leonard, Satvinder Dhaliwal, Edward Delp, Carol Boushey, Deborah Kerr
    Nutrients.2017; 9(3): 273.     CrossRef
  • Coenzyme Q10 and pro-inflammatory markers in children with Down syndrome: clinical and biochemical aspects
    Moushira E. Zaki, Hala T. El-Bassyouni, Angie M.S. Tosson, Eman Youness, Jihan Hussein
    Jornal de Pediatria (Versão em Português).2017; 93(1): 100.     CrossRef
  • Coenzyme Q10 and pro-inflammatory markers in children with Down syndrome: clinical and biochemical aspects
    Moushira E. Zaki, Hala T. El-Bassyouni, Angie M.S. Tosson, Eman Youness, Jihan Hussein
    Jornal de Pediatria.2017; 93(1): 100.     CrossRef
  • Retrospective Study of Obesity in Children with Down Syndrome
    Janet S. Basil, Stephanie L. Santoro, Lisa J. Martin, Katherine Wusik Healy, Barbara A. Chini, Howard M. Saal
    The Journal of Pediatrics.2016; 173: 143.     CrossRef
GDF15 Is a Novel Biomarker for Impaired Fasting Glucose
Jun Hwa Hong, Hyo Kyun Chung, Hye Yoon Park, Kyong-Hye Joung, Ju Hee Lee, Jin Gyu Jung, Koon Soon Kim, Hyun Jin Kim, Bon Jeong Ku, Minho Shong
Diabetes Metab J. 2014;38(6):472-479.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.472
  • 5,647 View
  • 78 Download
  • 69 Web of Science
  • 64 Crossref
AbstractAbstract PDFPubReader   
Background

Growth differentiation factor-15 (GDF15) is a protein that belongs to the transforming growth factor β superfamily. An elevated serum level of GDF15 was found to be associated with type 2 diabetes mellitus (T2DM). T2DM is an inflammatory disease that progresses from normal glucose tolerance (NGT) to impaired fasting glucose (IFG). Hence, we aimed to validate the relationship between GDF15 and IFG.

Methods

The participants were divided into the following three groups: NGT (n=137), IFG (n=29), and T2DM (n=75). The controls and T2DM outpatients visited the hospital for routine health check-ups. We used fasting blood glucose to detect IFG in nondiabetic patients. We checked the body mass index (BMI), C-reactive protein level, metabolic parameters, and fasting serum GDF15 level.

Results

Age, BMI, triglyceride, insulin, glucose, homeostatic model assessment-insulin resistance (HOMA-IR), and GDF15 levels were elevated in the IFG and T2DM groups compared to the NGT group. In the correlation analysis between metabolic parameters and GDF15, age and HOMA-IR had a significant positive correlation with GDF15 levels. GDF15 significantly discriminated between IFG and NGT, independent of age, BMI, and HOMA-IR. The serum levels of GDF15 were more elevated in men than in women. As a biomarker for IFG based on the receiver operating characteristic curve analysis, the cutoff value of GDF15 was 510 pg/mL in males and 400 pg/mL in females.

Conclusion

GDF15 had a positive correlation with IR independent of age and BMI, and the serum level of GDF15 was increased in the IFG and T2DM groups. GDF15 may be a novel biomarker for detecting IFG in nondiabetic patients.

Citations

Citations to this article as recorded by  
  • Effect of a 6-Week Carbohydrate-Reduced High-Protein Diet on Levels of FGF21 and GDF15 in People With Type 2 Diabetes
    Michael M Richter, Mads N Thomsen, Mads J Skytte, Sasha A S Kjeldsen, Amirsalar Samkani, Jan Frystyk, Faidon Magkos, Jens J Holst, Sten Madsbad, Thure Krarup, Steen B Haugaard, Nicolai J Wewer Albrechtsen
    Journal of the Endocrine Society.2024;[Epub]     CrossRef
  • Serum Growth Differentiation Factor 15 Levels Predict the Incidence of Frailty among Patients with Cardiometabolic Diseases
    Kazuhito Oba, Joji Ishikawa, Yoshiaki Tamura, Yasunori Fujita, Masafumi Ito, Ai Iizuka, Yoshinori Fujiwara, Remi Kodera, Kenji Toyoshima, Yuko Chiba, Masashi Tanaka, Atsushi Araki
    Gerontology.2024; 70(5): 517.     CrossRef
  • Growth differentiation factor 15 and malnutrition in older adults
    Nazanin Rostami, Blanca Fabre-Estremera, Antonio Buño-Soto, José R Banegas, Fernando Rodríguez-Artalejo, Rosario Ortolá
    The Journal of nutrition, health and aging.2024; 28(6): 100230.     CrossRef
  • Evaluation of the relation between subclinical systolic dysfunction defined by four-dimensional speckle-tracking echocardiography and growth differentiation factor-15 levels in patients with acromegaly
    Busra Firlatan, Ugur Nadir Karakulak, Vedat Hekimsoy, Burcin Gonul Iremli, Incilay Lay, Deniz Yuce, Selcuk Dagdelen, Giray Kabakci, Tomris Erbas
    Hormones.2024;[Epub]     CrossRef
  • Nausea, vomiting and conflict in pregnancy
    Bernard J Crespi
    Evolution, Medicine, and Public Health.2024; 12(1): 75.     CrossRef
  • Exploration of meteorin-like peptide (metrnl) predictors in type 2 diabetic patients: the potential role of irisin, and other biochemical parameters
    Yaser Khajebishak, Amir Hossein Faghfouri, Ali Soleimani, Sadra Madani, Laleh Payahoo
    Hormone Molecular Biology and Clinical Investigation.2023; 44(2): 127.     CrossRef
  • Relationship between meteorin-like peptide (Metrnl) serum levels and inflammatory cytokines, oxidative stress biomarkers and body composition parameters in type 2 diabetes patients
    Yaser Khajebishak, Sadra Madani, Amir Hossein Faghfouri, Ali Soleimani, Sara Ilaei, Said Peyrovi, Laleh Payahoo
    Nutrition & Food Science.2023; 53(5): 861.     CrossRef
  • Effects of acute exercise and exercise training on plasma GDF15 concentrations and associations with appetite and cardiometabolic health in individuals with overweight or obesity – A secondary analysis of a randomized controlled trial
    Jonas Salling Quist, Anders Bue Klein, Kristine Færch, Kristine Beaulieu, Mads Rosenkilde, Anne Sofie Gram, Anders Sjödin, Signe Torekov, Bente Stallknecht, Christoffer Clemmensen, Martin Bæk Blond
    Appetite.2023; 182: 106423.     CrossRef
  • Significant increase of serum extracellular vesicle-packaged growth differentiation factor 15 in type 2 diabetes mellitus: a cross-sectional study
    Wen Zhao, Xinwei Li, Xinxin Li, Lu Peng, Yu Li, Yunhui Du, Jianxun He, Yanwen Qin, Huina Zhang
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Association between growth differentiation factor 15 levels and gestational diabetes mellitus: A combined analysis
    Yi-Cheng Lu, Song-Liang Liu, Yu-Shan Zhang, Fei Liang, Xiao-Yan Zhu, Yue Xiao, Jing Wang, Cong Ding, Sudipta Banerjee, Jie-Yun Yin, Qiu-Ping Ma
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Metformin triggers a kidney GDF15-dependent area postrema axis to regulate food intake and body weight
    Song-Yang Zhang, Kyla Bruce, Zahra Danaei, Rosa J.W. Li, Daniel R. Barros, Rachel Kuah, Yu-Mi Lim, Laura H. Mariani, David Z. Cherney, Jennifer F.M. Chiu, Heather N. Reich, Tony K.T. Lam
    Cell Metabolism.2023; 35(5): 875.     CrossRef
  • Growth differentiation factor 15 (GDF-15) in endocrinology
    Pedro Iglesias, Ramona A. Silvestre, Juan J. Díez
    Endocrine.2023; 81(3): 419.     CrossRef
  • Identification of biomarkers for glycaemic deterioration in type 2 diabetes
    Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, A
    Nature Communications.2023;[Epub]     CrossRef
  • Metabolic syndrome and Growth Differentiation Factor 15 in older adults
    Adrián Carballo-Casla, Esther García-Esquinas, Antonio Buño-Soto, Ellen A. Struijk, Esther López-García, Fernando Rodríguez-Artalejo, Rosario Ortolá
    GeroScience.2022; 44(2): 867.     CrossRef
  • Associations between GDF15 Levels and Pre-Diabetes in Non-Obese Subjects
    Hao-Chang Hung, Hung-Tsung Wu, Ching-Han Lin, Hsuan-Wen Chou, Horng-Yih Ou, Chih-Jen Chang
    Journal of Investigative Medicine.2022; 70(1): 79.     CrossRef
  • Growth Differentiation Factor-15 as a Biomarker of Obese Pre-diabetes and Type 2 Diabetes Mellitus in Indian Subjects: A Case-control Study
    Dipayan Roy, Purvi Purohit, Anupama Modi, Manoj Khokhar, Ravindra Kumar Gayaprasad Shukla, Ramkaran Chaudhary, Shrimanjunath Sankanagoudar, Praveen Sharma
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Growth Differentiation Factor 15 Protects SH-SY5Y Cells From Rotenone-Induced Toxicity by Suppressing Mitochondrial Apoptosis
    Peizheng Li, Hongbo Lv, Bohan Zhang, Ruonan Duan, Xiufang Zhang, Pengfei Lin, Chengyuan Song, Yiming Liu
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • GDF-15 as a Therapeutic Target of Diabetic Complications Increases the Risk of Gallstone Disease: Mendelian Randomization and Polygenic Risk Score Analysis
    Lili Yu, Yajing Zhou, Lijuan Wang, Xuan Zhou, Jing Sun, Jiarui Xiao, Xiaolin Xu, Susanna C. Larsson, Shuai Yuan, Xue Li
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Sex-specific modulation of circulating growth differentiation factor-15 in patients with type 2 diabetes and/or obesity
    Mohamed Asrih, Flore Sinturel, Richard Dubos, Idris Guessous, Zoltan Pataky, Charna Dibner, François R Jornayvaz, Karim Gariani
    Endocrine Connections.2022;[Epub]     CrossRef
  • Raised circulating soluble growth differentiation factor 15 is negatively associated with testosterone level in hypogonadic men with type 2 diabetes
    Yufeng Mei, Yongnan Lyu, Juan Le, Di Li, Hang Liu, Zhiming Zhao, Yan Li
    Diabetes/Metabolism Research and Reviews.2022;[Epub]     CrossRef
  • NCAM1 and GDF15 are biomarkers of Charcot-Marie-Tooth disease in patients and mice
    Matthew J Jennings, Alexia Kagiava, Leen Vendredy, Emily L Spaulding, Marina Stavrou, Denisa Hathazi, Anika Grüneboom, Vicky De Winter, Burkhard Gess, Ulrike Schara, Oksana Pogoryelova, Hanns Lochmüller, Christoph H Borchers, Andreas Roos, Robert W Burges
    Brain.2022; 145(11): 3999.     CrossRef
  • Metformin and growth differentiation factor 15 (GDF15) in type 2 diabetes mellitus: A hidden treasure
    Hayder M. Al‐kuraishy, Ali I. Al‐Gareeb, Athanasios Alexiou, Marios Papadakis, Eman Hassan Nadwa, Sarah M. Albogami, Mohammed Alorabi, Hebatallah M. Saad, Gaber El‐Saber Batiha
    Journal of Diabetes.2022; 14(12): 806.     CrossRef
  • GDF15 is an exercise-induced hepatokine regulated by glucagon and insulin in humans
    Peter Plomgaard, Jakob S. Hansen, Logan K. Townsend, Anders Gudiksen, Niels H. Secher, Jens O. Clemmesen, Rene K. Støving, Jens P. Goetze, David C. Wright, Henriette Pilegaard
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • A study of serum growth differentiation factor 15 in Indian women with and without gestational diabetes mellitus in the third trimester of pregnancy and its association with pro-inflammatory markers and glucose metabolism
    Sudipta Banerjee, Rana Bhattacharjee, Amitabh Sur, Pieu Adhikary, Subhankar Chowdhury
    Diabetology International.2021; 12(3): 254.     CrossRef
  • Growth Differentiation Factor 15 is a Cancer Cell-Induced Mitokine That Primes Thyroid Cancer Cells for Invasiveness
    Yea Eun Kang, Jin Man Kim, Mi Ae Lim, Seong Eun Lee, Shinae Yi, Jung Tae Kim, Chan Oh, Lihua Liu, Yanli Jin, Seung-Nam Jung, Ho-Ryun Won, Jae Won Chang, Jeong Ho Lee, Hyun Jung Kim, Hyun Yong Koh, Sangmi Jun, Sun Wook Cho, Minho Shong, Bon Seok Koo
    Thyroid.2021; 31(5): 772.     CrossRef
  • The GDF15-GFRAL Pathway in Health and Metabolic Disease: Friend or Foe?
    Samuel N. Breit, David A. Brown, Vicky Wang-Wei Tsai
    Annual Review of Physiology.2021; 83(1): 127.     CrossRef
  • Associations of GDF-15 and GDF-15/adiponectin ratio with odds of type 2 diabetes in the Chinese population
    Xiaoying Wu, Wenting Xuan, Lili You, Hong Lian, Feng Li, Xiaoyun Zhang, Qingyu Chen, Kan Sun, Chaogang Chen, Mingtong Xu, Yan Li, Li Yan, Xiuwei Zhang, Meng Ren
    Endocrine.2021; 72(2): 423.     CrossRef
  • Decreased serum growth differentiation factor 15 levels after lifestyle intervention in patients with newly diagnosed type 2 diabetes mellitus
    Xingxing He, Jiaorong Su, Xiaojing Ma, Jingyi Lu, Yufei Wang, Jun Yin, Yuqian Bao, Gang Hu, Jian Zhou
    Obesity Medicine.2021; 24: 100345.     CrossRef
  • The anti-diabetic effects of NAG-1/GDF15 on HFD/STZ-induced mice
    Pattawika Lertpatipanpong, Jaehak Lee, Ilju Kim, Thomas Eling, Seung Yeon Oh, Je Kyung Seong, Seung Joon Baek
    Scientific Reports.2021;[Epub]     CrossRef
  • The Regulation of Circulating Hepatokines by Fructose Ingestion in Humans
    Michael M Richter, Peter Plomgaard
    Journal of the Endocrine Society.2021;[Epub]     CrossRef
  • GDF15: emerging biology and therapeutic applications for obesity and cardiometabolic disease
    Dongdong Wang, Emily A. Day, Logan K. Townsend, Djordje Djordjevic, Sebastian Beck Jørgensen, Gregory R. Steinberg
    Nature Reviews Endocrinology.2021; 17(10): 592.     CrossRef
  • High Fat, High Sugar Diet and DJOS Bariatric Surgery Influence Plasma Levels of Fetuin-B, Growth Differentiation Factor-15, and Pentraxin 3 in Diet-Induced Obese Sprague–Dawley Rats
    Jakub Poloczek, Monika Tarnawska, Elżbieta Chełmecka, Piotr Łaszczyca, Janusz Gumprecht, Dominika Stygar
    Nutrients.2021; 13(10): 3632.     CrossRef
  • Serum growth differentiation factor 15 level is associated with muscle strength and lower extremity function in older patients with cardiometabolic disease
    Kazuhito Oba, Joji Ishikawa, Yoshiaki Tamura, Yasunori Fujita, Masafumi Ito, Ai Iizuka, Yoshinori Fujiwara, Remi Kodera, Ayumi Toba, Kenji Toyoshima, Yuko Chiba, Seijiro Mori, Masashi Tanaka, Hideki Ito, Kazumasa Harada, Atsushi Araki
    Geriatrics & Gerontology International.2020; 20(10): 980.     CrossRef
  • Growth differentiation factor 15 (GDF-15) is a potential biomarker of both diabetic kidney disease and future cardiovascular events in cohorts of individuals with type 2 diabetes: a proteomics approach
    Axel C. Carlsson, Christoph Nowak, Lars Lind, Carl Johan Östgren, Fredrik H. Nyström, Johan Sundström, Juan Jesus Carrero, Ulf Riserus, Erik Ingelsson, Tove Fall, Johan Ärnlöv
    Upsala Journal of Medical Sciences.2020; 125(1): 37.     CrossRef
  • Elevated Plasma Growth and Differentiation Factor 15 Is Associated With Slower Gait Speed and Lower Physical Performance in Healthy Community-Dwelling Adults
    Richard D Semba, Marta Gonzalez-Freire, Toshiko Tanaka, Angelique Biancotto, Pingbo Zhang, Michelle Shardell, Ruin Moaddel, Luigi Ferrucci, Anne Newman
    The Journals of Gerontology: Series A.2020; 75(1): 175.     CrossRef
  • Circulating Cardiac Biomarkers in Diabetes Mellitus: A New Dawn for Risk Stratification—A Narrative Review
    Alexander E. Berezin, Alexander A. Berezin
    Diabetes Therapy.2020; 11(6): 1271.     CrossRef
  • Deterioration of Sleep Quality According to Glycemic Status
    Myung Haeng Hur, Mi-Kyoung Lee, Kayeon Seong, Jun Hwa Hong
    Diabetes & Metabolism Journal.2020; 44(5): 679.     CrossRef
  • Effects of plant and animal high protein diets on immune-inflammatory biomarkers: A 6-week intervention trial
    Mariya Markova, Liselot Koelman, Silke Hornemann, Olga Pivovarova, Stephanie Sucher, Juergen Machann, Natalia Rudovich, Ralph Thomann, Rosemarie Schneeweiss, Sascha Rohn, Andreas F.H. Pfeiffer, Krasimira Aleksandrova
    Clinical Nutrition.2020; 39(3): 862.     CrossRef
  • Effect of sleeve gastrectomy on plasma growth differentiation factor-15 (GDF15) in human
    Ponnie Robertlee Dolo, Libin Yao, Peng Peng Liu, Jason Widjaja, Song Meng, Chao Li, Xiaocheng Zhu
    The American Journal of Surgery.2020; 220(3): 725.     CrossRef
  • Prognostication of clinical outcomes in diabetes mellitus: Emerging role of cardiac biomarkers
    Alexander E. Berezin
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(2): 995.     CrossRef
  • Effect of bariatric surgery on plasma GDF15 in humans
    Maximilian Kleinert, Kirstine N. Bojsen-Møller, Nils B. Jørgensen, Maria S. Svane, Christoffer Martinussen, Bente Kiens, Jørgen F.P. Wojtaszewski, Sten Madsbad, Erik A. Richter, Christoffer Clemmensen
    American Journal of Physiology-Endocrinology and Metabolism.2019; 316(4): E615.     CrossRef
  • Regulation of Systemic Glucose Homeostasis by T Helper Type 2 Cytokines
    Yea Eun Kang, Hyun Jin Kim, Minho Shong
    Diabetes & Metabolism Journal.2019; 43(5): 549.     CrossRef
  • GDF15 reflects beta cell function in obese patients independently of the grade of impairment of glucose metabolism
    M.H. Schernthaner-Reiter, B.K. Itariu, M. Krebs, M. Promintzer-Schifferl, T.M. Stulnig, A. Tura, C.H. Anderwald, M. Clodi, B. Ludvik, G. Pacini, A. Luger, G. Vila
    Nutrition, Metabolism and Cardiovascular Diseases.2019; 29(4): 334.     CrossRef
  • Growth differentiation factor 15: A novel biomarker with high clinical potential
    Stéphanie Desmedt, Valérie Desmedt, Leen De Vos, Joris R. Delanghe, Reinhart Speeckaert, Marijn M. Speeckaert
    Critical Reviews in Clinical Laboratory Sciences.2019; 56(5): 333.     CrossRef
  • Hepatokines—a novel group of exercise factors
    Cora Weigert, Miriam Hoene, Peter Plomgaard
    Pflügers Archiv - European Journal of Physiology.2019; 471(3): 383.     CrossRef
  • Association between MIC-1 and Type 2 Diabetes: A Combined Analysis
    Jianan Lu, Yue Zhang, Xingxuan Dong, Jiawen Lu, Chen Zhang, Jieyu Liu, Qingzhou Yu, Haoyue Teng, Qingkui Yao, Jieyun Yin, Liqiang Qin
    Disease Markers.2019; 2019: 1.     CrossRef
  • The mitochondrial unfolded protein response and mitohormesis: a perspective on metabolic diseases
    Hyon-Seung Yi, Joon Young Chang, Minho Shong
    Journal of Molecular Endocrinology.2018; 61(3): R91.     CrossRef
  • Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases
    Ana Luisa Cardoso, Adelaide Fernandes, Juan Antonio Aguilar-Pimentel, Martin Hrabě de Angelis, Joana Ribeiro Guedes, Maria Alexandra Brito, Saida Ortolano, Giovambattista Pani, Sophia Athanasopoulou, Efstathios S. Gonos, Markus Schosserer, Johannes Grilla
    Ageing Research Reviews.2018; 47: 214.     CrossRef
  • Serum Meteorin-like protein levels decreased in patients newly diagnosed with type 2 diabetes
    Ju Hee Lee, Yea Eun Kang, Ji Min Kim, Sorim Choung, Kyong Hye Joung, Hyun Jin Kim, Bon Jeong Ku
    Diabetes Research and Clinical Practice.2018; 135: 7.     CrossRef
  • Growth differentiation factor 15 predicts advanced fibrosis in biopsy‐proven non‐alcoholic fatty liver disease
    Bo Kyung Koo, Sung Hee Um, Dong Soo Seo, Sae Kyung Joo, Jeong Mo Bae, Jeong Hwan Park, Mee Soo Chang, Jung Ho Kim, Jieun Lee, Won‐Il Jeong, Won Kim
    Liver International.2018; 38(4): 695.     CrossRef
  • Serum Growth Differentiation Factor 15 in Parkinson Disease
    Xiaomei Yao, Dong Wang, Lei Zhang, Lingling Wang, Zhenxiang Zhao, Si Chen, Xiaotang Wang, Tao Yue, Yiming Liu
    Neurodegenerative Diseases.2017; 17(6): 251.     CrossRef
  • GDF15 deficiency exacerbates chronic alcohol- and carbon tetrachloride-induced liver injury
    Hyo Kyun Chung, Jung Tae Kim, Hyeon-Woo Kim, Minjoo Kwon, So Yeon Kim, Minho Shong, Koon Soon Kim, Hyon-Seung Yi
    Scientific Reports.2017;[Epub]     CrossRef
  • Growth differentiation factor 15 as a predictor of adverse renal outcomes in patients with immunoglobulin A nephropathy
    Ki R. Na, Yoo H. Kim, Hyo K. Chung, Min‐Kyung Yeo, Young R. Ham, Jin Y. Jeong, Koon S. Kim, Kang W. Lee, Dae E. Choi
    Internal Medicine Journal.2017; 47(12): 1393.     CrossRef
  • GDF15 contributes to radiation-induced senescence through the ROS-mediated p16 pathway in human endothelial cells
    Hyejin Park, Chun-Ho Kim, Jae-Hoon Jeong, Myungjin Park, Kwang Seok Kim
    Oncotarget.2016; 7(9): 9634.     CrossRef
  • GDF-15 and Hepcidin Levels in Nonanemic Patients with Impaired Glucose Tolerance
    Mehmet Muhittin Yalcin, Alev Eroglu Altinova, Mujde Akturk, Ozlem Gulbahar, Emre Arslan, Damla Ors Sendogan, Ilhan Yetkin, Fusun Balos Toruner
    Journal of Diabetes Research.2016; 2016: 1.     CrossRef
  • Cardiac‐Secreted Factors as Peripheral Metabolic Regulators and Potential Disease Biomarkers
    Colleen M. Dewey, Kathryn M. Spitler, Jessica M. Ponce, Duane D. Hall, Chad E. Grueter
    Journal of the American Heart Association.2016;[Epub]     CrossRef
  • Determinants of growth differentiation factor 15 in patients with stable and acute coronary artery disease. A prospective observational study
    Serdar Farhan, Matthias K. Freynhofer, Ivan Brozovic, Veronika Bruno, Birgit Vogel, Ioannis Tentzeris, Sabina Baumgartner-Parzer, Kurt Huber, Alexandra Kautzky-Willer
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Effect of Atorvastatin on Growth Differentiation Factor-15 in Patients with Type 2 Diabetes Mellitus and Dyslipidemia
    Ji Min Kim, Min Kyung Back, Hyon-Seung Yi, Kyong Hye Joung, Hyun Jin Kim, Bon Jeong Ku
    Diabetes & Metabolism Journal.2016; 40(1): 70.     CrossRef
  • Association between Growth Differentiation Factor 15 (GDF15) and Cardiovascular Risk in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Min Young Shin, Ji Min Kim, Yea Eun Kang, Min Kyeong Kim, Kyong Hye Joung, Ju Hee Lee, Koon Soon Kim, Hyun Jin Kim, Bon Jeong Ku, Minho Shong
    Journal of Korean Medical Science.2016; 31(9): 1413.     CrossRef
  • Comparison of Transcriptome Between Type 2 Diabetes Mellitus and Impaired Fasting Glucose
    Ying Cui, Wen Chen, Jinfeng Chi, Lei Wang
    Medical Science Monitor.2016; 22: 4699.     CrossRef
  • Letter: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J2014;38:472-9)
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2015; 39(1): 82.     CrossRef
  • Relationship between hepcidin and GDF15 in anemic patients with type 2 diabetes without overt renal impairment
    Jun Hwa Hong, Yeon-Kyung Choi, Byong-Keol Min, Kang Seo Park, Kayeon Seong, In Kyu Lee, Jung Guk Kim
    Diabetes Research and Clinical Practice.2015; 109(1): 64.     CrossRef
  • Response: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J2014;38:472-9)
    Jun Hwa Hong, Bon Jeong Ku, Minho Shong
    Diabetes & Metabolism Journal.2015; 39(1): 84.     CrossRef
  • Is GDF15 a Novel Biomarker to Predict the Development of Prediabetes or Diabetes?
    Kyu Yeon Hur
    Diabetes & Metabolism Journal.2014; 38(6): 437.     CrossRef
Brief Report
Glycated Hemoglobin Value for Fasting Plasma Glucose of 126 mg/dL in Korean: The 2011 Korea National Health and Nutrition Examination Survey
Jung Min Kim, Jae Won Hong, Jong Chul Won, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(6):480-483.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.480
  • 4,724 View
  • 35 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract PDFPubReader   

We aimed to estimate the cutoff value of glycated hemoglobin (HbA1c, A1c) for fasting plasma glucose (FPG) of 126 mg/dL in the Korean adult population, using the 2011 Korea National Health and Nutrition Examination Survey. A total of 5,421 participants without a history of diabetes and over 19 years of age were included in the analysis. A point-wise area under the receiver operating characteristic curve was used to estimate the optimal A1c cutoff value. A1c threshold of 6.1% produced the highest sum of sensitivity (85.2%) and specificity (90.5%) for FPG of 126 mg/dL (area under the curve, 0.941, P<0.001). A1c of 6.5% produced a sensitivity of 67.7% and specificity of 98.0% for FPG of 126 mg/dL. Considering A1c as one of three criteria for the diagnosis of diabetes and the specificity of an A1c cutoff of 6.5%, the current diagnostic criteria of A1c≥6.5% might be acceptable in the Korean adult population.

Citations

Citations to this article as recorded by  
  • The Effect of an Empowerment Program on the Perceived Risk and Physical Health of Patients With Coronary Artery Disease
    Zeinab Ghasemzadeh Kuchi, Masoomeh Zakerimoghadam, Maryam Esmaeili, Babak Geraiely
    Holistic Nursing Practice.2020; 34(3): 163.     CrossRef
  • Morning Spot Urine Glucose-to-Creatinine Ratios Predict Overnight Urinary Glucose Excretion in Patients With Type 2 Diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Sun Hee Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Jeong-Ho Kim, Byung-Wan Lee
    Annals of Laboratory Medicine.2017; 37(1): 9.     CrossRef
  • Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm
    Diabetes & Metabolism Journal.2016; 40(2): 167.     CrossRef
  • Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?
    Dong-Lim Kim, Sun-Doo Kim, Suk Kyeong Kim, Sooyoun Park, Kee-Ho Song
    Diabetes & Metabolism Journal.2016; 40(2): 118.     CrossRef
  • Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetes Research and Clinical Practice.2016; 113: 23.     CrossRef
  • Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
    G Danaei, S Fahimi, Y Lu, B Zhou, K Hajifathalian, M Di Cesare, WC Lo, B Reis-Santos, MJ Cowan, JE Shaw, J Bentham, JK Lin, H Bixby, D Magliano, P Bovet, JJ Miranda, YH Khang, GA Stevens, LM Riley, MK Ali, M Ezzati, ZA Abdeen, KA Kadir, M Abu-Rmeileh, B A
    The Lancet Diabetes & Endocrinology.2015; 3(8): 624.     CrossRef
  • The Optimal Cutoff Value of Glycated Hemoglobin for Detection of Diabetic Retinopathy
    Jung Min Kim, Dong-Jun Kim
    Diabetes & Metabolism Journal.2015; 39(1): 16.     CrossRef
Letter
Response

Diabetes Metab J : Diabetes & Metabolism Journal