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Volume 35(1); February 2011
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Gestational Diabetes in Korea: Incidence and Risk Factors of Diabetes in Women with Previous Gestational Diabetes
Hak Chul Jang
Diabetes Metab J. 2011;35(1):1-7.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.1
  • 18,890 View
  • 51 Download
  • 52 Crossref
AbstractAbstract PDFPubReader   

Korean women with a history of gestational diabetes mellitus (GDM) have a 3.5 times greater risk of developing postpartum diabetes than the general population. The incidence of type 2 diabetes mellitus in early postpartum is reported as 10-15% in Korean women. A prospective follow-up study on Korean women with GDM showed that approximately 40% of women with previous GDM were expected to develop diabetes within 5 years postpartum. Independent risk factors for the development of diabetes in Korean women with previous GDM are pre-pregnancy body weight, gestational age at diagnosis, antepartum hyperglycemia on oral glucose tolerance test, low insulin response to oral glucose load, and family history of diabetes. Women with postpartum diabetes have greater body mass indexes, body weight, and waist circumferences than women with normal glucose tolerance. Multiple logistic regression analysis has revealed that waist circumference is the strongest obesity index along with systolic blood pressure and that triglyceride levels are a major independent risk factor for developing diabetes. These results in Korean women with previous GDM underline the importance of postpartum testing in Korean women diagnosed with GDM, and demonstrate that impaired B-cell function, obesity, and especially visceral obesity, are associated with the development of diabetes.

Citations

Citations to this article as recorded by  
  • Antenatal factors and risk of postpartum hyperglycemia in women with gestational diabetes mellitus: A central India prospective cohort study
    Nilajkumar Bagde, Madhuri Bagde, Vijayalakshmi Shanbhag, Pragati Trigunait, Nagma Sheikh, Sarita Agrawal
    Journal of Family Medicine and Primary Care.2024; 13(1): 59.     CrossRef
  • Long-term Outcomes of Gestational Diabetes Mellitus, a Retrospective Cohort Study
    Alper İleri, Hande İleri, Can Ata, Ayşe Rabia Şenkaya, Umut Gök Balcı
    Anatolian Journal of Medicine.2023; 32(1): 21.     CrossRef
  • Risk of Gestational Diabetes and Pregnancy-Induced Hypertension with a History of Polycystic Ovary Syndrome: A Nationwide Population-Based Cohort Study
    Seung-Woo Yang, Sang-Hee Yoon, Myounghwan Kim, Yong-Soo Seo, Jin-Sung Yuk
    Journal of Clinical Medicine.2023; 12(5): 1738.     CrossRef
  • Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review
    Yitayeh Belsti, Lisa Moran, Demelash Woldeyohannes Handiso, Vincent Versace, Rebecca Goldstein, Aya Mousa, Helena Teede, Joanne Enticott
    Current Diabetes Reports.2023; 23(9): 231.     CrossRef
  • The Incidence and Management of Type 2 Diabetes Mellitus After Gestational Diabetes Mellitus
    Chinyere L Ikoh Rph., Roland Tang Tinong
    Cureus.2023;[Epub]     CrossRef
  • Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?
    Sedat Akgöl, Mehmet Şükrü Budak, Süleyman Cemil Oğlak, Fatma Ölmez, Mehmet Emin Dilek, Serhat Kartal
    Journal of Obstetrics and Gynaecology Research.2022; 48(3): 634.     CrossRef
  • The role of plasminogen activator inhibitor-1 in gynecological and obstetrical diseases: An update review
    Jiaqi Zhai, Zijian Li, Yue Zhou, Xiuhua Yang
    Journal of Reproductive Immunology.2022; 150: 103490.     CrossRef
  • Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • Specificities of the Diabetic Population in French Guiana: The Health Barometer Survey
    Nadia Sabbah, Mickael. Massicard , Nacher Mathieu
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study
    Mi Jin Choi, Jimi Choi, Chae Weon Chung
    Endocrinology and Metabolism.2022; 37(1): 112.     CrossRef
  • Early pregnancy body mass index and gestational weight gain: A mediating or moderating factor for short stature and risk of gestational diabetes mellitus?
    Heng Yaw Yong, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, Zulida Rejali, Yvonne Yee Siang Tee, Jacques Bindels, Eline M. van der Beek, Mohammad Asghari Jafarabadi
    PLOS ONE.2022; 17(8): e0272253.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
    Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(6): 890.     CrossRef
  • Longitudinal Changes of High Molecular Weight Adiponectin are Associated with Postpartum Development of Type 2 Diabetes Mellitus in Patients with Gestational Diabetes Mellitus
    Dong-Hwa Lee, Jung Ah Lim, Jung Hee Kim, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
    Endocrinology and Metabolism.2021; 36(1): 114.     CrossRef
  • Vitamin D Deficiency at Mid-Pregnancy Is Associated with a Higher Risk of Postpartum Glucose Intolerance in Women with Gestational Diabetes Mellitus
    Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
    Endocrinology and Metabolism.2020; 35(1): 97.     CrossRef
  • Long-Term Postpartum Outcomes of Insulin Resistance and β-cell Function in Women with Previous Gestational Diabetes Mellitus
    Zhirong Miao, Honghua Wu, Liu Ren, Nan Bu, Lili Jiang, Huixia Yang, Junqing Zhang, Xiaohui Guo
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Oral Glucose Tolerance Testing Allows Better Prediction of Diabetes in Women with a History of Gestational Diabetes Mellitus
    Tae Jung Oh, Yeong Gi Kim, Sunyoung Kang, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Hak C. Jang, Joon-Seok Hong, Nam H. Cho
    Diabetes & Metabolism Journal.2019; 43(3): 342.     CrossRef
  • Maternal abdominal subcutaneous fat thickness as a simple predictor for gestational diabetes mellitus
    Mehmet Sukru Budak, Ilker Kahramanoglu, Salvatore Giovanni Vitale, Sedat Akgol, Mehmet Emin Dilek, Serhat Kartal, Salvatore Caruso, Bekir Kahveci, Mehmet Obut, Muhammed Hanifi Bademkiran, Antonio Cianci
    Journal of Perinatal Medicine.2019; 47(6): 605.     CrossRef
  • Associations between higher egg consumption during pregnancy with lowered risks of high blood pressure and gestational diabetes mellitus
    Alireza Milajerdi, Hatav Tehrani, Fahimeh Haghighatdoost, Bagher Larijani, Pamela J. Surkan, Leila Azadbakht
    International Journal for Vitamin and Nutrition Research.2018; 88(3-4): 166.     CrossRef
  • Gestational diabetes with diabetes and prediabetes risks: a large observational study
    Yun Shen, Peng Wang, Leishen Wang, Shuang Zhang, Huikun Liu, Weiqin Li, Nan Li, Wei Li, Junhong Leng, Jing Wang, Huiguang Tian, Cuilin Zhang, Jaakko Tuomilehto, Xilin Yang, Zhijie Yu, Gang Hu
    European Journal of Endocrinology.2018; 179(1): 51.     CrossRef
  • Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system
    Min Kyoung Kim, Seung Mi Lee, Sung-Hee Bae, Hyun Joo Kim, Nam Gu Lim, Seok-Jun Yoon, Jin Yong Lee, Min-Woo Jo
    International Journal for Equity in Health.2018;[Epub]     CrossRef
  • The Effect of Common and Possible Risk Factors’ Co-occurrence to the Development of Gestational Diabetes Mellitus
    Eren Gürkan, Emre Dirican, Neşe Bülbül
    Ankara Medical Journal.2018;[Epub]     CrossRef
  • Postpartum risk of diabetes and predictive factors for glucose intolerance in East Asian women with gestational diabetes
    Hiromi Inoue, Ko Ishikawa, Kenji Takeda, Akina Kobayashi, Kenichi Kurita, Jin Kumagai, Hidetaka Yokoh, Koutaro Yokote
    Diabetes Research and Clinical Practice.2018; 140: 1.     CrossRef
  • Prevalence and risk factors for gestational diabetes mellitus according to the Diabetes in Pregnancy Study Group India in comparison to Internationa Association of the Diabetes and Pregnancy Study Groups in El-Minya, Egypt
    Ghada M. El Sagheer, Lamia Hamdi
    The Egyptian Journal of Internal Medicine.2018; 30(3): 131.     CrossRef
  • Prevention of type 2 diabetes mellitus in women with previous gestational diabetes mellitus
    Joon Ho Moon, Soo Heon Kwak, Hak C. Jang
    The Korean Journal of Internal Medicine.2017; 32(1): 26.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Incidence and Contributing Factors of Persistent Hyperglycemia at 6–12 Weeks Postpartum in Iranian Women with Gestational Diabetes: Results from LAGA Cohort Study
    Sedigheh Nouhjah, Hajieh Shahbazian, Nahid Shahbazian, Alireza Jahanshahi, Shayesteh Jahanfar, Bahman Cheraghian
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • The effect of high-intensity breastfeeding on postpartum glucose tolerance in women with recent gestational diabetes
    Ichiro Yasuhi, Tomoko Soda, Hiroshi Yamashita, Atsuko Urakawa, Mihoko Izumi, Yukari Kugishima, Yasushi Umezaki
    International Breastfeeding Journal.2017;[Epub]     CrossRef
  • Perinatal Outcomes according to Screening Timing in Gestational Diabetic Women with Family History of Diabetes
    Han-Sung Kwon, Seo-Yeon Kim, JiEun Park, Han-Sung Hwang, In-Sook Sohn
    Perinatology.2017; 28(4): 151.     CrossRef
  • Predictors of type 2 diabetes among Taiwanese women with prior gestational diabetes mellitus
    Pei‐Chao Lin, Chich‐Hsiu Hung, Ruei‐Dian Huang, Te‐Fu Chan
    Japan Journal of Nursing Science.2016; 13(1): 3.     CrossRef
  • Prevalence of Gestational Diabetes Mellitus in Korea: A National Health Insurance Database Study
    Bo Kyung Koo, Joon Ho Lee, Jimin Kim, Eun Jin Jang, Chang-Hoon Lee, Noel Christopher Barengo
    PLOS ONE.2016; 11(4): e0153107.     CrossRef
  • Diagnostic value of haemoglobin A1c in post‐partum screening of women with gestational diabetes mellitus
    K.‐S. Kim, S.‐K. Kim, Y.‐W. Cho, S. W. Park
    Diabetic Medicine.2016; 33(12): 1668.     CrossRef
  • Patterns of Diagnosis and Risk Factors for Type 2 Diabetes in Women with a History of Gestational Diabetes Mellitus
    Mi Jin Choi, Chae Weon Chung
    Perspectives in Nursing Science.2016; 13(1): 17.     CrossRef
  • Risk factors for postpartum glucose intolerance in women with gestational diabetes mellitus
    Nobue Kojima, Kenji Tanimura, Masashi Deguchi, Mayumi Morizane, Yushi Hirota, Wataru Ogawa, Hideto Yamada
    Gynecological Endocrinology.2016; 32(10): 803.     CrossRef
  • Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus
    Nam H. Cho, Chang Ho Ahn, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Boyd E. Metzger, Hak C. Jang
    Medicine.2016; 95(35): e4582.     CrossRef
  • Insulin resistance and lipid profile during an oral glucose tolerance test in women with and without gestational diabetes mellitus
    ZX. Liang, Y. Wu, XY. Zhu, Q. Fang, DQ. Chen
    Journal of Obstetrics and Gynaecology.2016; 36(3): 337.     CrossRef
  • Fasting and 2-hour plasma glucose, and HbA1c in pregnancy and the postpartum risk of diabetes among Chinese women with gestational diabetes
    Huikun Liu, Shuang Zhang, Leishen Wang, Junhong Leng, Weiqin Li, Nan Li, Min Li, Yijuan Qiao, Huiguang Tian, Jaakko Tuomilehto, Xilin Yang, Zhijie Yu, Gang Hu
    Diabetes Research and Clinical Practice.2016; 112: 30.     CrossRef
  • Glucose tolerance status of Asian Indian women with gestational diabetes at 6weeks to 1year postpartum (WINGS-7)
    Balaji Bhavadharini, Ranjit Mohan Anjana, Manni Mohanraj Mahalakshmi, Kumar Maheswari, Arivudainambi Kayal, Ranjit Unnikrishnan, Harish Ranjani, Lyudmil Ninov, Sonak D. Pastakia, Sriram Usha, Belma Malanda, Anne Belton, Ram Uma, Viswanathan Mohan
    Diabetes Research and Clinical Practice.2016; 117: 22.     CrossRef
  • Identification of Genetic Variants of Gestational Diabetes in South Indians
    Sekar Kanthimathi, Manickam Chidambaram, Samuel Liju, Balaji Bhavadharini, Dhanasekaran Bodhini, Visvanathan Gnana Prakash, Anandakumar Amutha, Aruyerchelvan Bhavatharini, Ranjit Mohan Anjana, Viswanathan Mohan, Venkatesan Radha
    Diabetes Technology & Therapeutics.2015; 17(7): 462.     CrossRef
  • Changing relative contribution of abdominal obesity and a family history of diabetes on prevalence of diabetes mellitus in Korean men and women aged 30–49 years from 2001 to 2010 从2001至2010年在韩国30–49岁年龄段的男性与女性中腹型肥胖以及糖尿病家族史对糖尿病患病率相对贡献度的变化
    Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Kyong Soo Park, Min Kyong Moon
    Journal of Diabetes.2015; 7(4): 465.     CrossRef
  • Gestational diabetes: Linking epidemiology, excessive gestational weight gain, adverse pregnancy outcomes, and future metabolic syndrome
    Celeste Durnwald
    Seminars in Perinatology.2015; 39(4): 254.     CrossRef
  • Prepregnancy body mass index and weight change on postpartum diabetes risk among gestational diabetes women
    Huikun Liu, Cuiping Zhang, Shuang Zhang, Leishen Wang, Junhong Leng, Dongdong Liu, Han Fang, Weiqin Li, Zhijie Yu, Xilin Yang, Ling Dong, Gang Hu
    Obesity.2014; 22(6): 1560.     CrossRef
  • Gestational Diabetes Mellitus in Korean Women: Similarities and Differences from Other Racial/Ethnic Groups
    Catherine Kim
    Diabetes & Metabolism Journal.2014; 38(1): 1.     CrossRef
  • Risk Factors for Progression to Postpartum Diabetes Mellitus and Perinatal Complications in Women with Gestational Diabetes Mellitus
    Su jeong Kim, Hyunji Chun, Eun-Hee Jang, Joune Seup Lee, MeeKyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    The Journal of Korean Diabetes.2014; 15(2): 116.     CrossRef
  • The influence of weight gain patterns in pregnancy on fetal growth using cluster analysis in an obese and nonobese population
    S. Galjaard, A. Pexsters, R. Devlieger, I. Guelinckx, Y. Abdallah, C. Lewis, B. van Calster, T. Bourne, D. Timmerman, J. Luts
    Obesity.2013; 21(7): 1416.     CrossRef
  • Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score
    Soo Heon Kwak, Sung Hee Choi, Kyunga Kim, Hye Seung Jung, Young Min Cho, Soo Lim, Nam H. Cho, Seong Yeon Kim, Kyong Soo Park, Hak C. Jang
    Diabetologia.2013; 56(12): 2556.     CrossRef
  • Obstetricians, Perhaps It’s Time to Change Lenses
    Yap Seng Chong, Sir Sabaratnam Arulkumaran
    Annals of the Academy of Medicine, Singapore.2013; 42(2): 61.     CrossRef
  • Finding Genetic Risk Factors of Gestational Diabetes
    Soo Heon Kwak, Hak C. Jang, Kyong Soo Park
    Genomics & Informatics.2012; 10(4): 239.     CrossRef
  • Association of Variations in TPH1 and HTR2B with Gestational Weight Gain and Measures of Obesity
    Soo Heon Kwak, Byoung Lae Park, Hail Kim, Michael S. German, Min Jin Go, Hye Seung Jung, Bo Kyong Koo, Young Min Cho, Sung Hee Choi, Yoon Shin Cho, Hyoung Doo Shin, Hak C. Jang, Kyong Soo Park
    Obesity.2012; 20(1): 233.     CrossRef
  • A Genome-Wide Association Study of Gestational Diabetes Mellitus in Korean Women
    Soo Heon Kwak, Sung-Hoon Kim, Young Min Cho, Min Jin Go, Yoon Shin Cho, Sung Hee Choi, Min Kyong Moon, Hye Seung Jung, Hyoung Doo Shin, Hyun Min Kang, Nam H. Cho, In Kyu Lee, Seong Yeon Kim, Bok-Ghee Han, Hak C. Jang, Kyong Soo Park
    Diabetes.2012; 61(2): 531.     CrossRef
  • Comparative analysis of current diagnostic criteria for gestational diabetes mellitus
    Mariya V Boyadzhieva, Iliana Atanasova, Sabina Zacharieva, Tsvetalina Tankova, Violeta Dimitrova
    Obstetric Medicine.2012; 5(2): 71.     CrossRef
  • The Epidemiology of Diabetes in Korea
    Dae Jung Kim
    Diabetes & Metabolism Journal.2011; 35(4): 303.     CrossRef
New Perspectives on Diabetic Vascular Complications: The Loss of Endogenous Protective Factors Induced by Hyperglycemia
In-Kyung Jeong, George L. King
Diabetes Metab J. 2011;35(1):8-11.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.8
  • 6,207 View
  • 33 Download
  • 24 Crossref
AbstractAbstract PDFPubReader   

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

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  • Role of platelet-derived growth factor c on endothelial dysfunction in cardiovascular diseases
    Adriana Grismaldo, Luis Sobrevia, Ludis Morales
    Biochimica et Biophysica Acta (BBA) - General Subjects.2022; 1866(10): 130188.     CrossRef
  • Ginkgo biloba extracts protect human retinal Müller glial cells from t-BHP induced oxidative damage by activating the AMPK-Nrf2-NQO-1 axis
    Yue Li, Ke Wang, Xue Zhu, Zhengqi Cheng, Ling Zhu, Michael Murray, Fanfan Zhou
    Journal of Pharmacy and Pharmacology.2022;[Epub]     CrossRef
  • Organic Isothiocyanates as Hydrogen Sulfide Donors
    Alma Martelli, Valentina Citi, Lara Testai, Simone Brogi, Vincenzo Calderone
    Antioxidants & Redox Signaling.2020; 32(2): 110.     CrossRef
  • PGC‐1α, a potential therapeutic target against kidney aging
    Gayoung Lee, Md Jamal Uddin, Yoojeong Kim, Minji Ko, Inyoung Yu, Hunjoo Ha
    Aging Cell.2019;[Epub]     CrossRef
  • Glucometabolic characteristics and higher vascular complication risk in Korean patients with type 2 diabetes with non-albumin proteinuria
    Yongin Cho, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-wan Lee
    Journal of Diabetes and its Complications.2019; 33(8): 585.     CrossRef
  • Ameliorative effects of taurine against diabetes: a review
    Inam-u-llah, Fengyuan Piao, Rana Muhammad Aadil, Raheel Suleman, Kaixin Li, Mengren Zhang, Pingan Wu, Muhammad Shahbaz, Zulfiqar Ahmed
    Amino Acids.2018; 50(5): 487.     CrossRef
  • Notoginsenoside Fc attenuates high glucose-induced vascular endothelial cell injury via upregulation of PPAR-γ in diabetic Sprague–Dawley rats
    Jingjing Liu, Chunyu Jiang, Xu Ma, Jianbo Wang
    Vascular Pharmacology.2018; 109: 27.     CrossRef
  • Grape seed proanthocyanidin extract protects the retina against early diabetic injury by activating the Nrf2 pathway
    YAN SUN, CAIMEI XIU, WEI LIU, YUAN TAO, JIANRONG WANG, YI QU
    Experimental and Therapeutic Medicine.2016; 11(4): 1253.     CrossRef
  • Hydrogen peroxide prevents vascular calcification induced ROS production by regulating Nrf-2 pathway
    Wensong Zhang, Yi Li, Hanlu Ding, Yaqin Du, Li Wang
    Renal Failure.2016; 38(7): 1099.     CrossRef
  • TNFSF15 Inhibits Blood Retinal Barrier Breakdown Induced by Diabetes
    Feng Jiang, Qingzhong Chen, Liming Huang, Ying Wang, Zhuhong Zhang, Xiangda Meng, Yuanyuan Liu, Chunjie Mao, Fang Zheng, Jingkai Zhang, Hua Yan
    International Journal of Molecular Sciences.2016; 17(5): 615.     CrossRef
  • Effect of Triflusal on Primary Vascular Dysregulation Compared with Aspirin: A Double-Blind, Randomized, Crossover Trial
    Sanghoon Shin, Kwang-Joon Kim, In-Jeong Cho, Geu-Ru Hong, Yangsoo Jang, Namsik Chung, Young Min Rah, Hyuk-Jae Chang
    Yonsei Medical Journal.2015; 56(5): 1227.     CrossRef
  • NRF2 plays a protective role in diabetic retinopathy in mice
    Zhenhua Xu, Yanhong Wei, Junsong Gong, Hongkwan Cho, James K. Park, Ee-Rah Sung, Hu Huang, Lijuan Wu, Charles Eberhart, James T. Handa, Yunpeng Du, Timothy S. Kern, Rajesh Thimmulappa, Alistair J. Barber, Shyam Biswal, Elia J. Duh
    Diabetologia.2014; 57(1): 204.     CrossRef
  • Inhibition of JNK by compound C66 prevents pathological changes of the aorta in STZ‐induced diabetes
    Yucheng Liu, Yonggang Wang, Xiao Miao, Shanshan Zhou, Yi Tan, Guang Liang, Yang Zheng, Quan Liu, Jian Sun, Lu Cai
    Journal of Cellular and Molecular Medicine.2014; 18(6): 1203.     CrossRef
  • Sulforaphane Attenuation of Type 2 Diabetes-Induced Aortic Damage Was Associated with the Upregulation of Nrf2 Expression and Function
    Yonggang Wang, Zhiguo Zhang, Wanqing Sun, Yi Tan, Yucheng Liu, Yang Zheng, Quan Liu, Lu Cai, Jian Sun
    Oxidative Medicine and Cellular Longevity.2014; 2014: 1.     CrossRef
  • Therapeutic Effect of MG132 on the Aortic Oxidative Damage and Inflammatory Response in OVE26 Type 1 Diabetic Mice
    Xiao Miao, Wenpeng Cui, Weixia Sun, Ying Xin, Bo Wang, Yi Tan, Lu Cai, Lining Miao, Yaowen Fu, Guanfang Su, Yuehui Wang
    Oxidative Medicine and Cellular Longevity.2013; 2013: 1.     CrossRef
  • Risk Factors for the Progression of Intima-Media Thickness of Carotid Arteries: A 2-Year Follow-Up Study in Patients with Newly Diagnosed Type 2 Diabetes
    Sang Ouk Chin, Jin Kyung Hwang, Sang Youl Rhee, Suk Chon, You-Cheol Hwang, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung-Woon Kim, Young Seol Kim, Ja-Heon Kang, In-Kyung Jeong
    Diabetes & Metabolism Journal.2013; 37(5): 365.     CrossRef
  • Downregulation of Nrf2 and HO-1 expression contributes to oxidative stress in type 2 diabetes mellitus: A study in Juana Koslay City, San Luis, Argentina
    Susana Siewert, Irma González, Lucas Santillán, Roberto Lucero, Marta S. Ojeda, María S. Gimenez
    Journal of Diabetes Mellitus.2013; 03(02): 71.     CrossRef
  • The effect of oral prostaglandin analogue on painful diabetic neuropathy: a double‐blind, randomized, controlled trial
    S. Shin, K. J. Kim, H. ‐J. Chang, B. ‐W. Lee, W. ‐I. Yang, B. ‐S. Cha, D. Choi
    Diabetes, Obesity and Metabolism.2013; 15(2): 185.     CrossRef
  • Areca nut procyanidins ameliorate streptozocin-induced hyperglycemia by regulating gluconeogenesis
    Pei-Ling Huang, Chin-Wen Chi, Tsung-Yun Liu
    Food and Chemical Toxicology.2013; 55: 137.     CrossRef
  • Serum glycated albumin predicts the progression of carotid arterial atherosclerosis
    Sun Ok Song, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Atherosclerosis.2012; 225(2): 450.     CrossRef
  • Sulforaphane prevention of diabetes-induced aortic damage was associated with the up-regulation of Nrf2 and its down-stream antioxidants
    Xiao Miao, Yang Bai, Weixia Sun, Wenpeng Cui, Ying Xin, Yuehui Wang, Yi Tan, Lining Miao, Yaowen Fu, Guanfang Su, Lu Cai
    Nutrition & Metabolism.2012;[Epub]     CrossRef
  • Association between EPCs count and rate of coronary revascularization in asymptomatic type 2 diabetic patients
    Hyun Min Kim, Kwang Joon Kim, Jae Hoon Moon, Hye-Jeong Lee, Min Kyung Chae, Hyuk-Jae Chang, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee, Young Jin Kim, Byung-Wan Lee
    Acta Diabetologica.2012; 49(6): 413.     CrossRef
  • Taurine ameliorates hyperglycemia and dyslipidemia by reducing insulin resistance and leptin level in Otsuka Long-Evans Tokushima fatty (OLETF) rats with long-term diabetes
    Kyoung Soo Kim, Da Hee Oh, Jung Yeon Kim, Bong Gn Lee, Jeong Soon You, Kyung Ja Chang, Hyunju Chung, Myung Chul Yoo, Hyung-In Yang, Ja-Heon Kang, Yoo Chul Hwang, Kue Jeong Ahn, Ho-Yeon Chung, In-Kyung Jeong
    Experimental & Molecular Medicine.2012; 44(11): 665.     CrossRef
  • Inhibition of NF-κB prevents high glucose-induced proliferation and plasminogen activator inhibitor-1 expression in vascular smooth muscle cells
    In-Kyung Jeong, Da Hee Oh, Seung-Joon Park, Ja-Heon Kang, Sunshin Kim, Myung-Shik Lee, Myung-Jun Kim, Yoo-Chul Hwang, Kyu Jeong Ahn, Ho-Yeon Chung, Min-Kyung Chae, Hyung-Joon Yoo
    Experimental and Molecular Medicine.2011; 43(12): 684.     CrossRef
Sulwon Lecture 2009
The Search for Genetic Risk Factors of Type 2 Diabetes Mellitus
Kyong Soo Park
Diabetes Metab J. 2011;35(1):12-22.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.12
  • 4,746 View
  • 58 Download
  • 23 Crossref
AbstractAbstract PDFPubReader   

Type 2 diabetes mellitus (T2DM) is caused by complex interplay between multiple genetic and environmental factors. The three major approaches used to identify the genetic susceptibility include candidate gene approach, familial linkage analysis and genome- wide association analysis. Recent advance in genome-wide association studies have greatly improved our understanding of the pathophysiology of T2DM. As of the end of 2010, there are more than 40 confirmed T2DM-associated genetic loci. Most of the T2DM susceptibility genes were implicated in decreased β-cell function. However, these genetic variations have a modest effect and their combination only explains less than 10% of the T2DM heritability. With the advent of the next-generation sequencing technology, we will soon identify rare variants of larger effect as well as causal variants. These advances in understanding the genetics of T2DM will lead to the development of new therapeutic and preventive strategies and individualized medicine.

Citations

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  • Diabetes: Risk factor and translational therapeutic implications for Alzheimer's disease
    Jeffrey Cummings, Andrew Ortiz, Janelle Castellino, Jefferson Kinney
    European Journal of Neuroscience.2022; 56(9): 5727.     CrossRef
  • Association of gene polymorphisms with body weight changes in prediabetic patients
    Farida V. Valeeva, Mariya S. Medvedeva, Kamilya B. Khasanova, Elena V. Valeeva, Tatyana A. Kiseleva, Emiliya S. Egorova, Craig Pickering, Ildus I. Ahmetov
    Molecular Biology Reports.2022; 49(6): 4217.     CrossRef
  • Analysis of the association of FTO, PPARG and PPARGC1A gene polymorphisms with carbohydrate metabolism disorders
    Farida V. Valeeva, Kamilya B. Khasanova, Elizaveta A. Sozinova, Tatyana A. Kiseleva, Elena V. Valeeva, Emiliya S. Egorova, Ildus I. Ahmetov
    Kazan medical journal.2022; 103(4): 592.     CrossRef
  • Associations between new and old anthropometric indices with type 2 diabetes mellitus and risk of metabolic complications: a cross-sectional analytical study
    Parichehr Amiri, Ahmad Zare Javid, Leila Moradi, Neda Haghighat, Rahim Moradi, Hossein Bavi Behbahani, Milad Zarrin, Hadi Bazyar
    Jornal Vascular Brasileiro.2021;[Epub]     CrossRef
  • When will individuals meet their personalized probabilities? A philosophical note on risk prediction
    Olaf M. Dekkers, Jesse M. Mulder
    European Journal of Epidemiology.2020; 35(12): 1115.     CrossRef
  • From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
    Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
    Medicina.2019; 55(9): 546.     CrossRef
  • Systematic analysis of genes and diseases using PheWAS-Associated networks
    Ali Khosravi, Morteza Kouhsar, Bahram Goliaei, B. Jayaram, Ali Masoudi-Nejad
    Computers in Biology and Medicine.2019; 109: 311.     CrossRef
  • Protective effects of asiatic acid in a spontaneous type 2 diabetic mouse model
    Wen Sun, Guangyuan Xu, Xuan Guo, Guangbin Luo, Lili Wu, Yi Hou, Xiangyu Guo, Jingxin Zhou, Tunhai Xu, Lingling Qin, Yixin Fan, Li Han, Motlalepula Matsabisa, Xuesheng Ma, Tonghua Liu
    Molecular Medicine Reports.2017; 16(2): 1333.     CrossRef
  • Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population
    Bo Kyung Koo, Min Kyong Moon
    Diabetes & Metabolism Journal.2016; 40(3): 175.     CrossRef
  • Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes
    Donghe Li, Sungho Won
    Genomics & Informatics.2016; 14(4): 160.     CrossRef
  • Genetic polymorphisms associated with overweight and obesity in uncontrolled Type 2 diabetes mellitus
    Nor Bahirah Kasim, Hasniza Zaman Huri, Shireene Ratna Vethakkan, Luqman Ibrahim, Bashar Mudhaffar Abdullah
    Biomarkers in Medicine.2016; 10(4): 403.     CrossRef
  • A multicenter clinical study to determine the efficacy of a novel fenugreek seed (Trigonella foenum-graecum) extract (Fenfuro™) in patients with type 2 diabetes
    Narsingh Verma, Kauser Usman, Naresh Patel, Arvind Jain, Sudhir Dhakre, Anand Swaroop, Manashi Bagchi, Pawan Kumar, Harry G. Preuss, Debasis Bagchi
    Food & Nutrition Research.2016; 60(1): 32382.     CrossRef
  • Association between -308G/A TNFA Polymorphism and Susceptibility to Type 2 Diabetes Mellitus: A Systematic Review
    Geisa Izetti Luna, Izabel Cristina Rodrigues da Silva, Mauro Niskier Sanchez
    Journal of Diabetes Research.2016; 2016: 1.     CrossRef
  • Metabolomics – the complementary field in systems biology: a review on obesity and type 2 diabetes
    Mohamad Hafizi Abu Bakar, Mohamad Roji Sarmidi, Kian-Kai Cheng, Abid Ali Khan, Chua Lee Suan, Hasniza Zaman Huri, Harisun Yaakob
    Molecular BioSystems.2015; 11(7): 1742.     CrossRef
  • Predictive modeling for incident and prevalent diabetes risk evaluation
    Katya L Masconi, Justin Basile Echouffo-Tcheugui, Tandi E Matsha, Rajiv T Erasmus, Andre Pascal Kengne
    Expert Review of Endocrinology & Metabolism.2015; 10(3): 277.     CrossRef
  • Polymorphism of gene UBE2E2 and the risk of developing diabetes type 2
    Elena Vladimirovna Kazakova, Yanhui Wu, Meijun Chen, Tongtong Wang, Lulu Sun, Hong Qiao
    Diabetes mellitus.2015; 18(3): 46.     CrossRef
  • The Architecture of Risk for Type 2 Diabetes: Understanding Asia in the Context of Global Findings
    Noraidatulakma Abdullah, John Attia, Christopher Oldmeadow, Rodney J. Scott, Elizabeth G. Holliday
    International Journal of Endocrinology.2014; 2014: 1.     CrossRef
  • Translational medicine as a new clinical tool and application which improves metabolic diseases: perspectives from 2012 Sino‐American symposium on clinical and translational medicine
    Lin Shi, Elena López Villar, Chengshui Chen
    Clinical and Translational Medicine.2014;[Epub]     CrossRef
  • Frequency of Fat Mass and Obesity-Associated Gene rs9939609 and Peroxisome Proliferator-Activated Receptor Gamma 2 Gene rs1801282 Polymorphisms among Trinidadian Neonates of Different Ethnicities and Their Relationship to Anthropometry at Birth
    Candace E. Cuthbert, D. Dan Ramdath, Jerome E. Foster
    Lifestyle Genomics.2014; 7(1): 39.     CrossRef
  • Genetics of type 2 diabetes and potential clinical implications
    Soo Heon Kwak, Kyong Soo Park
    Archives of Pharmacal Research.2013; 36(2): 167.     CrossRef
  • Genetics in Diabetes Mellitus - Contribution to the Classification and Management
    Jeesuk Yu
    Annals of Pediatric Endocrinology & Metabolism.2012; 17(4): 211.     CrossRef
  • Genome-wide association studies with metabolomics
    Jerzy Adamski
    Genome Medicine.2012; 4(4): 34.     CrossRef
  • Typ-2-Diabetes-assoziierte Gene
    J. Kriebel, H. Grallert, T. Illig
    Der Diabetologe.2012; 8(1): 26.     CrossRef
Editorial
What Is the Optimal Monotherapy in Korean Drug-Naïve Type 2 Diabetic Patients?: The Practical Evidence of Antidiabetic Monotherapy Study
Ji Hun Choi, Won-Young Lee
Diabetes Metab J. 2011;35(1):23-25.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.23
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PDFPubReader   
Original Articles
Comparison of the Efficacy of Glimepiride, Metformin, and Rosiglitazone Monotherapy in Korean Drug-Naïve Type 2 Diabetic Patients: The Practical Evidence of Antidiabetic Monotherapy Study
Kun Ho Yoon, Jeong Ah Shin, Hyuk Sang Kwon, Seung Hwan Lee, Kyung Wan Min, Yu Bae Ahn, Soon Jib Yoo, Kyu Jeung Ahn, Sung Woo Park, Kwan Woo Lee, Yeon Ah Sung, Tae Sun Park, Min Seon Kim, Yong Ki Kim, Moon Suk Nam, Hye Soon Kim, Ie Byung Park, Jong Suk Park, Jeong Taek Woo, Ho Young Son
Diabetes Metab J. 2011;35(1):26-33.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.26
  • 55,892 View
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  • 31 Crossref
AbstractAbstract PDFPubReader   
Background

Although many anti-diabetic drugs have been used to control hyperglycemia for decades, the efficacy of commonly-used oral glucose-lowering agents in Korean type 2 diabetic patients has yet to be clearly demonstrated.

Methods

We evaluated the efficacy of glimepiride, metformin, and rosiglitazone as initial treatment for drug-naïve type 2 diabetes mellitus patients in a 48-week, double-blind, randomized controlled study that included 349 Korean patients. Our primary goal was to determine the change in HbA1c levels from baseline to end point. Our secondary goal was to evaluate changes in fasting plasma glucose (FPG) levels, body weight, frequency of adverse events, and the proportion of participants achieving target HbA1c levels.

Results

HbA1c levels decreased from 7.8% to 6.9% in the glimepiride group (P<0.001), from 7.9% to 7.0% in the metformin group (P<0.001), and from 7.8% to 7.0% (P<0.001) in the rosiglitazone group. Glimepiride and rosiglitazone significantly increased body weight and metformin reduced body weight during the study period. Symptomatic hypoglycemia was more frequent in the glimepiride group and diarrhea was more frequent in the metformin group.

Conclusion

The efficacy of glimepiride, metformin, and rosiglitazone as antidiabetic monotherapies in drug-naïve Korean type 2 diabetic patients was similar in the three groups, with no statistical difference. This study is the first randomized controlled trial to evaluate the efficacy of commonly-used oral hypoglycemic agents in Korean type 2 diabetic patients. An additional subgroup analysis is recommended to obtain more detailed information.

Citations

Citations to this article as recorded by  
  • Ketogenic Diet Intervention on Metabolic and Psychiatric Health in Bipolar and Schizophrenia: A Pilot Trial
    Shebani Sethi, Diane Wakeham, Terence Ketter, Farnaz Hooshmand, Julia Bjornstad, Blair Richards, Eric Westman, Ronald M Krauss, Laura Saslow
    Psychiatry Research.2024; 335: 115866.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • The forgotten type 2 diabetes mellitus medicine: rosiglitazone
    Bo Xu, Aoxiang Xing, Shuwei Li
    Diabetology International.2022; 13(1): 49.     CrossRef
  • Real-world comparison of mono and dual combination therapies of metformin, sulfonylurea, and dipeptidyl peptidase-4 inhibitors using a common data model
    Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Sang Soo Kim, Eun-Hee Cho, Tae Sun Park
    Medicine.2022; 101(8): e28823.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
  • A RANDOMISED, PROSPECTIVE, PARALLELAND OPEN LABEL STUDY TO COMPARE EFFICACY AND SAFETY OF METFORMIN PLUS ROSUVASTATIN AND GLIMEPIRIDE PLUS ROSUVASTATIN IN PATIENTS OF COEXISTING NON-ALCOHOLIC FATTY LIVER DISEASE (NAFLD) AND TYPE 2 DIABETES MELLITUS (T2DM)
    Prabhsimran kaur, Gurpreet Kaur Randhawa, Surinder Kumar Salwan
    INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH.2021; : 46.     CrossRef
  • Impact of sitagliptin combination therapy and hypoglycemia in Japanese patients with type 2 diabetes: a multi-center retrospective observational cohort study
    Tomoyuki Saito, Hirotoshi Ohmura, Shuko Nojiri, Hiroyuki Daida
    Journal of Pharmaceutical Health Care and Sciences.2020;[Epub]     CrossRef
  • 2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea
    Mee Kyoung Kim, Seung-Hyun Ko, Bo-Yeon Kim, Eun Seok Kang, Junghyun Noh, Soo-Kyung Kim, Seok-O Park, Kyu Yeon Hur, Suk Chon, Min Kyong Moon, Nan-Hee Kim, Sang Yong Kim, Sang Youl Rhee, Kang-Woo Lee, Jae Hyeon Kim, Eun-Jung Rhee, SungWan Chun, Sung Hoon Yu
    Diabetes & Metabolism Journal.2019; 43(4): 398.     CrossRef
  • Oral Hypoglycemic Agents for Patients with Type 2 Diabetes Mellitus
    Seung-Hyun Ko
    The Journal of Korean Diabetes.2019; 20(3): 142.     CrossRef
  • Monotherapy in Type 2 Diabetes Mellitus Patients 2017: A Position Statement of the Korean Diabetes Association
    Sang Youl Rhee
    The Journal of Korean Diabetes.2018; 19(1): 15.     CrossRef
  • Failure of monotherapy in clinical practice in patients with type 2 diabetes: The Korean National Diabetes Program
    Ja Young Jeon, Soo Jin Lee, Sieun Lee, Soo Jin Kim, Seung Jin Han, Hae Jin Kim, Dae Jung Kim, Young Seol Kim, Jeong Taek Woo, Kyu Jeung Ahn, Moonsuk Nam, Sei Hyun Baik, Yongsoo Park, Kwan‐Woo Lee
    Journal of Diabetes Investigation.2018; 9(5): 1144.     CrossRef
  • Women are less likely than men to achieve optimal glycemic control after 1 year of treatment: A multi-level analysis of a Korean primary care cohort
    Seung-Ah Choe, Joo Yeong Kim, Young Sun Ro, Sung-Il Cho, Antonio Palazón-Bru
    PLOS ONE.2018; 13(5): e0196719.     CrossRef
  • Monotherapy in Patients with Type 2 Diabetes Mellitus
    Sang Youl Rhee, Hyun Jin Kim, Seung-Hyun Ko, Kyu-Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 349.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Monotherapy in patients with type 2 diabetes mellitus
    Sang Youl Rhee, Hyun Jin Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 959.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Insulin Secretory Capacity and Insulin Resistance in Korean Type 2 Diabetes Mellitus Patients
    Jong-Dai Kim, Won-Young Lee
    Endocrinology and Metabolism.2016; 31(3): 354.     CrossRef
  • Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013
    Seung-Hyun Ko, Dae-Jung Kim, Jong-Heon Park, Cheol-Young Park, Chang Hee Jung, Hyuk-Sang Kwon, Joong-Yeol Park, Kee-Ho Song, Kyungdo Han, Ki-Up Lee, Kyung-Soo Ko
    Medicine.2016; 95(27): e4018.     CrossRef
  • Clinical Practice Guideline 2015: Oral Hypoglycemic Agents for Patients with Type 2 Diabetes
    Seung-Hyun Ko
    The Journal of Korean Diabetes.2016; 17(2): 83.     CrossRef
  • Efficacy and safety of teneligliptin, a dipeptidyl peptidase‐4 inhibitor, combined with metformin in Korean patients with type 2 diabetes mellitus: a 16‐week, randomized, double‐blind, placebo‐controlled phase III trial
    M. K. Kim, E.‐J. Rhee, K. A. Han, A. C. Woo, M.‐K. Lee, B. J. Ku, C. H. Chung, K.‐A. Kim, H. W. Lee, I. B. Park, J. Y. Park, H. C. Chul Jang, K. S. Park, W. I. Jang, B. Y. Cha
    Diabetes, Obesity and Metabolism.2015; 17(3): 309.     CrossRef
  • Effect of Yanggyuksanhwa-Tang on non-insulin-dependent diabetes mellitus unresponsive to oral hypoglycemic agents: A case report
    Jiman Kim, Seungwon Kwon
    Chinese Journal of Integrative Medicine.2015; 21(2): 157.     CrossRef
  • Efficacy of glimepiride/metformin fixed‐dose combination vs metformin uptitration in type 2 diabetic patients inadequately controlled on low‐dose metformin monotherapy: A randomized, open label, parallel group, multicenter study in Korea
    Hye‐soon Kim, Doo‐man Kim, Bong‐soo Cha, Tae Sun Park, Kyoung‐ah Kim, Dong‐lim Kim, Choon Hee Chung, Jeong‐hyun Park, Hak Chul Jang, Dong‐seop Choi
    Journal of Diabetes Investigation.2014; 5(6): 701.     CrossRef
  • Evaluation of the Association between the Use of Oral Anti-hyperglycemic Agents and Hypoglycemia in Japan by Data Mining of the Japanese Adverse Drug Event Report (JADER) Database
    Ryogo Umetsu, Yuri Nishibata, Junko Abe, Yukiya Suzuki, Hideaki Hara, Hideko Nagasawa, Yasutomi Kinosada, Mitsuhiro Nakamura
    YAKUGAKU ZASSHI.2014; 134(2): 299.     CrossRef
  • Comparative efficacy of glimepiride and metformin in monotherapy of type 2 diabetes mellitus: meta-analysis of randomized controlled trials
    Hongmei Zhu, Shuang Zhu, Xiuqian Zhang, Yang Guo, Yunzhen Shi, Zhimin Chen, Siu-wai Leung
    Diabetology & Metabolic Syndrome.2013;[Epub]     CrossRef
  • A Comparative Study of the Effects of a Dipeptidyl Peptidase-IV Inhibitor and Sulfonylurea on Glucose Variability in Patients with Type 2 Diabetes with Inadequate Glycemic Control on Metformin
    Hun-Sung Kim, Jeong-Ah Shin, Seung-Hwan Lee, Eun-Sook Kim, Jae-Hyoung Cho, Ho-Young Son, Kun-Ho Yoon
    Diabetes Technology & Therapeutics.2013; 15(10): 810.     CrossRef
  • Glycemic Effectiveness of Metformin-Based Dual-Combination Therapies with Sulphonylurea, Pioglitazone, or DPP4-Inhibitor in Drug-Naïve Korean Type 2 Diabetic Patients
    Young Ki Lee, Sun Ok Song, Kwang Joon Kim, Yongin Cho, Younjeong Choi, Yujung Yun, Byung-Wan Lee, Eun-Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes & Metabolism Journal.2013; 37(6): 465.     CrossRef
  • Metformin Based Dual-Combination Therapies in Drug Naïve Type 2 Diabetic Patients
    Dong-Lim Kim
    Diabetes & Metabolism Journal.2013; 37(6): 429.     CrossRef
  • Assessing Relative Bioactivity of Chemical Substances Using Quantitative Molecular Network Topology Analysis
    Anna Edberg, Daniel Soeria-Atmadja, Jonas Bergman Laurila, Fredrik Johansson, Mats G. Gustafsson, Ulf Hammerling
    Journal of Chemical Information and Modeling.2012; 52(5): 1238.     CrossRef
  • Efficacy and safety of ginsam, a vinegar extract from Panax ginseng, in type 2 diabetic patients: Results of a double‐blind, placebo‐controlled study
    Ji Won Yoon, Seon Mee Kang, Jason L Vassy, Hayley Shin, Yun Hee Lee, Hwa Young Ahn, Sung Hee Choi, Kyong Soo Park, Hak Chul Jang, Soo Lim
    Journal of Diabetes Investigation.2012; 3(3): 309.     CrossRef
  • What Is the Optimal Monotherapy in Korean Drug-Naïve Type 2 Diabetic Patients?: The Practical Evidence of Antidiabetic Monotherapy Study
    Ji Hun Choi, Won-Young Lee
    Diabetes & Metabolism Journal.2011; 35(1): 23.     CrossRef
  • Predictive characteristics of patients achieving glycaemic control with insulin after sulfonylurea failure
    Y.-H. Lee, B.-W. Lee, S. W. Chun, B. S. Cha, H. C. Lee
    International Journal of Clinical Practice.2011; 65(10): 1076.     CrossRef
Exercise Treadmill Test in Detecting Asymptomatic Coronary Artery Disease in Type 2 Diabetes Mellitus
Mee Kyoung Kim, Ki Hyun Baek, Ki Ho Song, Hyuk Sang Kwon, Jung Min Lee, Moo Il Kang, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Kwang Woo Lee
Diabetes Metab J. 2011;35(1):34-40.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.34
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AbstractAbstract PDFPubReader   
Background

The present study was designed to develop criteria for screening patients with type 2 diabetes mellitus (T2DM) for asymptomatic coronary artery disease (CAD).

Methods

A total of 213 patients with T2DM without typical angina or chest pain were studied between 2002 and 2007. We also evaluated 53 patients with T2DM who had reported chest discomfort using an exercise treadmill test (ETT).

Results

Thirty-one of the 213 asymptomatic patients had positive ETT results. We performed coronary angiography on 23 of the 31 patients with a positive ETT and found that 11 of them had significant coronary stenosis. The main differences between the patients with significant stenosis and those with a negative ETT were age (63.1±9.4 vs. 53.7±10.1 years, P=0.008) and duration of diabetes (16.0±7.5 vs. 5.5±5.7 years, P<0.001). The positive predictive value (PPV) of the ETT was calculated to be 47.8%. The PPV of the ETT increased to 87.5% in elderly patients (≥60 years) with a long duration of diabetes (≥10 years). The latter value is similar to that of patients with T2DM who presented with chest discomfort or exertional dyspnea. The PPV of the ETT in symptomatic patients was 76.9%.

Conclusion

In the interest of cost-effectiveness, screening for asymptomatic CAD could be limited to elderly patients with a duration of diabetes ≥10 years.

Citations

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  • Duke Treadmill Score Predicts Coronary Artery Disease Severity in Diabetics and Non-Diabetics
    Muhammad Khalil, Muhammad Shafique Arshad, Asma Zafar Khawaja, Iffat Aqeel, . Hidayatullah, Mahboob Ur Rehman, Sumeet Kumar, Shoaib Ahmed
    Pakistan Journal of Health Sciences.2023; : 126.     CrossRef
  • Anatomical and Neuromuscular Factors Associated to Non-Contact Anterior Cruciate Ligament Injury
    Marc Dauty, Vincent Crenn, Bastien Louguet, Jérôme Grondin, Pierre Menu, Alban Fouasson-Chailloux
    Journal of Clinical Medicine.2022; 11(5): 1402.     CrossRef
  • Prevalence of asymptomatic silent myocardial ischemia among type 2 diabetes mellitus patients in Bangalore - A hospital-based cross-sectional study
    NagappaH Handargal, ShristiJ Shetty
    Journal of the Practice of Cardiovascular Sciences.2021; 7(3): 207.     CrossRef
  • Influence of sex on the incidence of potential coronary artery disease and long-term outcomes in asymptomatic patients with diabetes mellitus
    Chisato Sato, Kohei Wakabayashi, Naoko Ikeda, Yuki Honda, Ken Sato, Toshiaki Suzuki, Keita Shibata, Kaoru Tanno
    IJC Heart & Vasculature.2020; 27: 100504.     CrossRef
  • Gauging the Positive Predictive Value of Exercise Tolerance Test Using Angiographic Evaluation: A Cross-Sectional Analysis From a Developing Country
    Ismail Khan, Maria Hasan, Javeria Hasan, Ali Imran Dhillon, Moosa Khan, Mehwish Kaneez
    Cureus.2020;[Epub]     CrossRef
  • EVALUATION OF SILENT MYOCARDIAL ISCHEMIA IN ASYMPTOMATIC TYPE 2 DIABETES MELLITUS PATIENTS BY TREAD MILL TEST IN TERTIARY CARE CENTER IN SOUTH INDIA
    Malepati Sai Sarath Reddy, Uma Mylandlahalli Anandkumar, Srinivasa Rao
    Journal of Evolution of Medical and Dental Sciences.2019; 8(10): 740.     CrossRef
  • Breathlessness and Restrictive Lung Disease: An Important Diabetes-Related Feature in Patients with Type 2 Diabetes
    Stefan Kopf, Jan B. Groener, Zoltan Kender, Thomas Fleming, Maik Brune, Christin Riedinger, Nadine Volk, Esther Herpel, Dominik Pesta, Julia Szendrödi, Mark O. Wielpütz, Hans-Ulrich Kauczor, Hugo A. Katus, Michael Kreuter, Peter P. Nawroth
    Respiration.2018; 96(1): 29.     CrossRef
  • Comparison of the presence of fragmented QRS complexes in the inferior versus the anterior leads for predicting coronary artery disease severity
    Mehmet Eyuboglu, Ugur Kucuk, Omer Senarslan, Bahri Akdeniz
    Revista Portuguesa de Cardiologia.2017; 36(2): 89.     CrossRef
  • Comparison of the presence of fragmented QRS complexes in the inferior versus the anterior leads for predicting coronary artery disease severity
    Mehmet Eyuboglu, Ugur Kucuk, Omer Senarslan, Bahri Akdeniz
    Revista Portuguesa de Cardiologia (English Edition).2017; 36(2): 89.     CrossRef
  • High serum YKL-40 level positively correlates with coronary artery disease
    Yan Jin, Jia-Ning Cao, Chun-Xia Wang, Qiu-Ting Feng, Xin-He Ye, Xin Xu, Cheng-Jian Yang
    Biomarkers in Medicine.2017; 11(2): 133.     CrossRef
  • Fragmented QRS Is Associated with Improved Predictive Value of Exercise Treadmill Testing in Patients with Intermediate Pretest Likelihood of Significant Coronary Artery Disease
    Eyyup Tusun, Abdulselam Ilter, Feyzullah Besli, Emre Erkus, Ibrahim Halil Altiparmak, Mehmet Bozbay
    Annals of Noninvasive Electrocardiology.2016; 21(2): 196.     CrossRef
  • Use of imaging and clinical data to screen for cardiovascular disease in asymptomatic diabetics
    Carlos Henrique Reis Esselin Rassi, Timothy W. Churchill, Carlos A. Fernandes Tavares, Mateus Guimaraes Fahel, Fabricia P. O. Rassi, Augusto H. Uchida, Bernardo L. Wajchenberg, Antonio C. Lerario, Edward Hulten, Khurram Nasir, Márcio S. Bittencourt, Carlo
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Obese sedentary patients with dyspnoea on exertion who are at low risk for coronary artery disease by clinical criteria have a very low prevalence of coronary artery disease
    J. T. Bruckel, G. Larsen, M. R. Benson
    Clinical Obesity.2014; 4(3): 143.     CrossRef
  • Potential association between coronary artery disease and the inflammatory biomarker YKL-40 in asymptomatic patients with type 2 diabetes mellitus
    Hyun Min Kim, Byung-Wan Lee, Young-Mi Song, Won Jin Kim, Hyuk-Jae Chang, Dong-Hoon Choi, Hee Tae Yu, EunSeok Kang, Bong Soo Cha, Hyun Chul Lee
    Cardiovascular Diabetology.2012;[Epub]     CrossRef
  • Exercise Treadmill Test for Evaluation of Cardiovascular Disease in Diabetic Patients
    Ju Youn Kim, Mee Kyoung Kim, Woo-Baek Chung
    The Journal of Korean Diabetes.2012; 13(4): 182.     CrossRef
Basal C-peptide Level as a Surrogate Marker of Subclinical Atherosclerosis in Type 2 Diabetic Patients
Sung-Tae Kim, Byung-Joon Kim, Dong-Mee Lim, In-Geol Song, Jang-Han Jung, Kang-Woo Lee, Keun-Young Park, Youn-Zoo Cho, Dae-Ho Lee, Gwan-Pyo Koh
Diabetes Metab J. 2011;35(1):41-49.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.41
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  • 21 Crossref
AbstractAbstract PDFPubReader   
Background

Recent studies have revealed that C-peptide induces smooth muscle cell proliferation and causes human atherosclerotic lesions in diabetic patients. The present study was designed to examine whether the basal C-peptide levels correlate with cardiovascular risk in type 2 diabetes mellitus (T2DM) patients.

Methods

Data was obtained from 467 patients with T2DM from two institutions who were followed for four years. The medical findings of all patients were reviewed, and patients with creatinine >1.4 mg/dL, any inflammation or infection, hepatitis, or type 1 DM were excluded. The relationships between basal C-peptide and other clinical values were statistically analyzed.

Results

A simple correlation was found between basal C-peptide and components of metabolic syndrome (MS). Statistically basal C-peptide levels were significantly higher than the three different MS criteria used in the present study, the Adult Treatment Panel III (ATP III) of the National Cholesterol Education Program's (NCEP's), World Health Organization (WHO), and the International Diabetes Federation (IDF) criteria (NCEP-ATP III, P=0.001; IDF, P<0.001; WHO, P=0.029). The multiple regression analysis between intima-media thickness (IMT) and clinical values showed that basal C-peptide significantly correlated with IMT (P=0.043), while the analysis between the 10-year coronary heart disease risk by the United Kingdom Prospective Diabetes Study risk engine and clinical values showed that basal C-peptide did not correlate with IMT (P=0.226).

Conclusion

Basal C-peptide is related to cardiovascular predictors (IMT) of T2DM, suggesting that basal C-peptide does provide a further indication of cardiovascular disease.

Citations

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    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 2617.     CrossRef
  • Blood C‐peptide concentration as a proxy marker of cardiovascular disease: An observational cross‐sectional study
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    Health Science Reports.2023;[Epub]     CrossRef
  • The impact of insulin induced lipohypertrophy on carotid intima-media thickness in patients with type 2 diabetes mellitus
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  • Human C-peptide is a ligand of the elastin-receptor-complex and therewith central to human vascular remodelling and disease in metabolic syndrome
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    Min Liu, Li Ao, Xinyu Hu, Jianning Ma, Kena Bao, Ye Gu, Jing Zhao, Weiping Huang
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  • Serum C peptide and carotid intima-medial thickness are independent markers of glucose intolerance among patients with ischemic cerebrovascular stroke
    Nearmeen M. Rashad, Ghada M. Samir, Hanan M. Sabry, Nesreen M. Mohy, Shereen M. El Shabrawy
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  • Biomarker potential of C-peptide for screening of insulin resistance in diabetic and non-diabetic individuals
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    Saudi Journal of Biological Sciences.2018; 25(8): 1729.     CrossRef
  • SERUM C-PEPTIDE LEVEL IN OBESE AND NON-OBESE PATIENTS WITH TYPE 2 DIABETES MELLITUS
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  • Mechanisms of action and therapeutic potential of proinsulin C-peptide
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    Journal of Evolutionary Biochemistry and Physiology.2017; 53(3): 180.     CrossRef
  • Hemolysis Affects C‐Peptide Immunoassay
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    Journal of Clinical Laboratory Analysis.2016; 30(6): 1232.     CrossRef
  • Lipid and inflammatory biomarker profiles in early insulin resistance
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    Acta Diabetologica.2016; 53(6): 905.     CrossRef
  • C-Peptide Is Independently Associated with an Increased Risk of Coronary Artery Disease in T2DM Subjects: A Cross-Sectional Study
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    PLOS ONE.2015; 10(6): e0127112.     CrossRef
  • C-peptide as a risk factor of coronary artery disease in the general population
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    Diabetes and Vascular Disease Research.2015; 12(3): 199.     CrossRef
  • Gender differences in the association of insulin resistance and high-sensitivity c-reactive protein in obese adolescents
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  • Cytokinome Profile of Patients with Type 2 Diabetes and/or Chronic Hepatitis C Infection
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    PLoS ONE.2012; 7(6): e39486.     CrossRef
  • Serum glycated albumin predicts the progression of carotid arterial atherosclerosis
    Sun Ok Song, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Atherosclerosis.2012; 225(2): 450.     CrossRef
  • C-Peptide: A New Mediator of Atherosclerosis in Diabetes
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  • Letter: Basal C-peptide Level as a Surrogate Marker of Subclinical Atherosclerosis in Type 2 Diabetes Patients (Diabetes Metab J 2011;35:41-9)
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    Diabetes & Metabolism Journal.2011; 35(2): 188.     CrossRef
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A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
Diabetes Metab J. 2011;35(1):50-57.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.50
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AbstractAbstract PDFPubReader   
Background

Advanced information technology can be used when developing diagnostic and treatment strategies to provide better care for diabetic patients. However, the levels of need and demand for the use of technological advances have not been investigated in diabetic patients. We proposed and developed an individualized, ubiquitous (U)-healthcare service using advanced information technology for more effective glucose control. Prior to our service initiation, we surveyed patient needs and other pertinent information.

Methods

During August 2009, we conducted a 34-item questionnaire survey among patients with diabetes who were older than 40 years in two certain hospitals in Korea.

Results

The mean age of the 228 participants was 61.2±9 years, and males made up 49.1% of the sample. Seventy-one percent replied that they wanted individualized healthcare service, and they also wanted their health information to be delivered through mobile devices such as a cellular phone or a personal digital assistant (40.4%). Most patients had never heard of U-healthcare services (81.1%); however, after explaining the concept, 71.1% of participants responded that they would use the service if it was provided. Despite their willingness, participants were concerned about technical difficulty in using the service (26.3%) as well as the cost of the service (29.8%).

Conclusion

The current study suggests that more than 70% of diabetic patients are interested in using U-healthcare services. To encourage widespread use, the application program or device of U-healthcare services should be simple, easy to use and affordable while also including a policy for the protection of private information.

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  • Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
    Agmasie Damtew Walle, Tigist Andargie Ferede, Adamu Ambachew Shibabaw, Sisay Maru Wubante, Habtamu Alganeh Guadie, Chalachew Msganaw Yehula, Addisalem Workie Demsash
    BMJ Health & Care Informatics Online.2023; 30(1): e100761.     CrossRef
  • Development and Operation of a Video Teleconsultation System Using Integrated Medical Equipment Gateway: a National Project for Workers in Underserved Areas
    Hyun Sang Park, Kwang il Kim, Jae Young Soh, Young Ho Hyun, Bang Eun Lee, Jong Hwa Lee, Jung Gwon Jo, Han Chae Lee, Hwa Sun Kim
    Journal of Medical Systems.2020;[Epub]     CrossRef
  • Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population
    Sireen Abdul Rahim Shilbayeh, Sahar Abd El Rahman Ismail, Meihua Qian
    Cogent Psychology.2020;[Epub]     CrossRef
  • Smart Care Based on Telemonitoring and Telemedicine for Type 2 Diabetes Care: Multi-Center Randomized Controlled Trial
    Ji Yun Jeong, Jae-Han Jeon, Kwi-Hyun Bae, Yeon-Kyung Choi, Keun-Gyu Park, Jung-Guk Kim, Kyu Chang Won, Bong Soo Cha, Chul Woo Ahn, Dong Won Kim, Chang Hee Lee, In-Kyu Lee
    Telemedicine and e-Health.2018; 24(8): 604.     CrossRef
  • Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
    Hun-Sung Kim, So Jung Yang, Yoo Jin Jeong, Young-Eun Kim, Seok-Won Hong, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2017; 41(3): 213.     CrossRef
  • Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study
    Tomomi Shibuta, Kayo Waki, Nobuko Tomizawa, Ayumi Igarashi, Noriko Yamamoto-Mitani, Satoko Yamaguchi, Hideo Fujita, Shigeko Kimura, Katsuhito Fujiu, Hironori Waki, Yoshihiko Izumida, Takayoshi Sasako, Masatoshi Kobayashi, Ryo Suzuki, Toshimasa Yamauchi, T
    BMJ Open Diabetes Research & Care.2017; 5(1): e000322.     CrossRef
  • Evaluating the Effect of Web-Based Iranian Diabetic Personal Health Record App on Self-Care Status and Clinical Indicators: Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Hamed Tabesh, Mahmood Tara
    JMIR Medical Informatics.2016; 4(4): e32.     CrossRef
  • Development, Validation, and Evaluation of Web-Based Iranian Diabetic Personal Health Record: Rationale for and Protocol of a Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Mahmood Tara
    JMIR Research Protocols.2016; 5(1): e39.     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
  • Environment and Its Influence on Health and Demographics in South Korea
    Ramiro Bravo Santisteban, Young Kim, Umar Farooq, Tae-Seong Kim, Sekyoung Youm, Seung-Hun Park
    International Journal of Environmental Research and Public Health.2016; 13(2): 183.     CrossRef
  • U-Healthcare Center Service in Busan City, South Korea: An Empirical Analysis and the Results of 1 Year of Service
    Ramiro D. Bravo Santisteban, Sekyoung Youm, Seung-Hun Park
    Telemedicine and e-Health.2015; 21(10): 774.     CrossRef
  • Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare
    Mi Jung Rho, Kun Ho Yoon, Hun-Sung Kim, In Young Choi
    Multimedia Tools and Applications.2015; 74(7): 2483.     CrossRef
  • An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises
    Hsueh-Chun Lin, Shu-Yin Chiang, Kai Lee, Yao-Chiang Kan
    Sensors.2015; 15(1): 2181.     CrossRef
  • Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
    Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee, Ju Han Kim
    Healthcare Informatics Research.2015; 21(4): 244.     CrossRef
  • New Directions in Chronic Disease Management
    Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
    Endocrinology and Metabolism.2015; 30(2): 159.     CrossRef
  • Using mobile phones in healthcare management for the elderly
    Hun-Sung Kim, Kye-Hwa Lee, Hyunah Kim, Ju Han Kim
    Maturitas.2014; 79(4): 381.     CrossRef
  • Future Prospects of Health Management Systems Using Cellular Phones
    Hun-Sung Kim, Yunji Hwang, Jae-Ho Lee, Hye Young Oh, Yi-Jun Kim, Hyeon Yoon Kwon, Hyoseung Kang, Hyunah Kim, Rae Woong Park, Ju Han Kim
    Telemedicine and e-Health.2014; 20(6): 544.     CrossRef
  • Exploring the Relationship Among User Satisfaction, Compliance, and Clinical Outcomes of Telemedicine Services for Glucose Control
    Mi Jung Rho, Si Ra Kim, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Seong K. Mun, In Young Choi
    Telemedicine and e-Health.2014; 20(8): 712.     CrossRef
  • Impact of Information Technology on the Therapy of Type-1 Diabetes: A Case Study of Children and Adolescents in Germany
    Rolf-Dietrich Berndt, Claude Takenga, Petra Preik, Sebastian Kuehn, Luise Berndt, Herbert Mayer, Alexander Kaps, Ralf Schiel
    Journal of Personalized Medicine.2014; 4(2): 200.     CrossRef
  • Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users
    Jaebeom Lee, Mi Jung Rho
    Healthcare Informatics Research.2013; 19(3): 167.     CrossRef
  • Telerehabilitation Needs: A Bidirectional Survey of Health Professionals and Individuals with Spinal Cord Injury in South Korea
    Jongbae Kim, Shinyoung Lim, Jayeon Yun, Da-hye Kim
    Telemedicine and e-Health.2012; 18(9): 713.     CrossRef
  • Development of a smartphone-based diabetes self-care management system
    Sang Youl Rhee, Jeong-taek Woo, Young Seol Kim, Young Kil Choi
    Personalized Medicine Universe.2012; 1(1): 85.     CrossRef
  • Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
    Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
    Journal of Medical Internet Research.2011; 13(3): e65.     CrossRef
Insulin Secretion and Incretin Hormone Concentration in Women with Previous Gestational Diabetes Mellitus
Sung Hoon Yu, Bongjun Cho, Yejin Lee, Eunhye Kim, Sung Hee Choi, Soo Lim, Ka Hee Yi, Young Joo Park, Kyong Soo Park, Hak Chul Jang
Diabetes Metab J. 2011;35(1):58-64.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.58
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AbstractAbstract PDFPubReader   
Background

We examined the change in the levels of incretin hormone and effects of glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide 1 (GLP-1) on insulin secretion in women with previous gestational diabetes (pGDM).

Methods

A 75-g oral glucose tolerance test (OGTT) was conducted on 34 women with pGDM. In addition, 11 women with normal glucose tolerance, matched for age, height and weight, were also tested. The insulin, GIP, GLP-1, and glucagon concentrations were measured, and their anthropometric and biochemical markers were also measured.

Results

Among 34 women with pGDM, 18 had normal glucose tolerance, 13 had impaired glucose tolerance (IGT) and 1 had diabetes. No significant differences were found in GLP-1 concentration between the pGDM and control group. However, a significantly high level of glucagon was present in the pGDM group at 30 minutes into the OGTT. The GIP concentration was elevated at 30 minutes and 60 minutes in the pGDM group. With the exception of the 30-minute timepoint, women with IGT had significantly high blood glucose from 0 to 120 minutes. However, there was no significant difference in insulin or GLP-1 concentration. The GIP level was significantly high from 0 to 90 minutes in patients diagnosed with IGT.

Conclusion

GLP-1 secretion does not differ between pGDM patients and normal women. GIP was elevated, but that does not seem to induce in increase in insulin secretion. Therefore, we conclude that other factors such as heredity and environment play important roles in the development of type 2 diabetes.

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  • Association of GLP-1 secretion with parameters of glycemic control in women after gestational diabetes mellitus
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  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Simulation of Oral Glucose Tolerance Tests and the Corresponding Isoglycemic Intravenous Glucose Infusion Studies for Calculation of the Incretin Effect
    Myeungseon Kim, Tae Jung Oh, Jung Chan Lee, Karam Choi, Min Young Kim, Hee Chan Kim, Young Min Cho, Sungwan Kim
    Journal of Korean Medical Science.2014; 29(3): 378.     CrossRef
  • Metabolic, hormonal characteristics and genetic variants of TCF7L2 associated with development of gestational diabetes mellitus in Mexican women
    Ruth Reyes‐López, Elva Pérez‐Luque, Juan Manuel Malacara
    Diabetes/Metabolism Research and Reviews.2014; 30(8): 701.     CrossRef
  • Reduced postprandial GLP‐1 responses in women with gestational diabetes mellitus
    L. Bonde, T. Vilsbøll, T. Nielsen, J. I. Bagger, J. A. Svare, J. J. Holst, S. Larsen, F. K. Knop
    Diabetes, Obesity and Metabolism.2013; 15(8): 713.     CrossRef
  • Women with normal glucose tolerance and a history of gestational diabetes show significant impairment of β-cell function at normal insulin sensitivity
    P. Molęda, K. Homa, K. Safranow, Z. Celewicz, A. Fronczyk, L. Majkowska
    Diabetes & Metabolism.2013; 39(2): 155.     CrossRef
Decreased Expression and Induced Nucleocytoplasmic Translocation of Pancreatic and Duodenal Homeobox 1 in INS-1 Cells Exposed to High Glucose and Palmitate
Gyeong Ryul Ryu, Jun Mo Yoo, Esder Lee, Seung-Hyun Ko, Yu-Bae Ahn, Ki-Ho Song
Diabetes Metab J. 2011;35(1):65-71.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.65
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AbstractAbstract PDFPubReader   
Background

Type 2 diabetes mellitus (T2DM) is often accompanied by increased levels of circulating fatty acid. Elevations in fatty acids and glucose for prolonged periods of time have been suggested to cause progressive dysfunction or apoptosis of pancreatic beta cells in T2DM. However, the precise mechanism of this adverse effect is not well understood.

Methods

INS-1 rat-derived insulin-secreting cells were exposed to 30 mM glucose and 0.25 mM palmitate for 48 hours.

Results

The production of reactive oxygen species increased significantly. Pancreatic and duodenal homeobox 1 (Pdx1) expression was down-regulated, as assessed by reverse transcription-polymerase chain reaction and Western blot analyses. The promoter activities of insulin and Pdx1 were also diminished. Of note, there was nucleocytoplasmic translocation of Pdx1, which was partially prevented by treatment with an antioxidant, N-acetyl-L-cysteine.

Conclusion

Our data suggest that prolonged exposure of beta cells to elevated levels of glucose and palmitate negatively affects Pdx1 expression via oxidative stress.

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  • Nrf2 Activation Protects Mouse Beta Cells from Glucolipotoxicity by Restoring Mitochondrial Function and Physiological Redox Balance
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    Oxidative Medicine and Cellular Longevity.2019; 2019: 1.     CrossRef
  • Early overnutrition reduces Pdx1 expression and induces β cell failure in Swiss Webster mice
    Maria M. Glavas, Queenie Hui, Eva Tudurí, Suheda Erener, Naomi L. Kasteel, James D. Johnson, Timothy J. Kieffer
    Scientific Reports.2019;[Epub]     CrossRef
  • Anti-diabetic effect of mulberry leaf polysaccharide by inhibiting pancreatic islet cell apoptosis and ameliorating insulin secretory capacity in diabetic rats
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    International Immunopharmacology.2014; 22(1): 248.     CrossRef
  • The Furan Fatty Acid Metabolite CMPF Is Elevated in Diabetes and Induces β Cell Dysfunction
    Kacey J. Prentice, Lemieux Luu, Emma M. Allister, Ying Liu, Lucy S. Jun, Kyle W. Sloop, Alexandre B. Hardy, Li Wei, Weiping Jia, I. George Fantus, Douglas H. Sweet, Gary Sweeney, Ravi Retnakaran, Feihan F. Dai, Michael B. Wheeler
    Cell Metabolism.2014; 19(4): 653.     CrossRef
Repeated Gene Transfection Impairs the Engraftment of Transplanted Porcine Neonatal Pancreatic Cells
Min Koo Seo, Cheng-Lin Sun, Ji-Won Kim, Kun-Ho Yoon, Suk Kyeong Lee
Diabetes Metab J. 2011;35(1):72-79.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.72
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AbstractAbstract PDFPubReader   
Background

Previously, we reported that neonatal porcine pancreatic cells transfected with hepatocyte growth factor (HGF) gene in an Epstein-Barr virus (EBV)-based plasmid (pEBVHGF) showed improved proliferation and differentiation compared to those of the control. In this study, we examined if pancreatic cells transfected repeatedly with pEBVHGF can be successfully grafted to control blood glucose in a diabetes mouse model.

Methods

Neonatal porcine pancreatic cells were cultured as a monolayer and were transfected with pEBVHGF every other day for a total of three transfections. The transfected pancreatic cells were re-aggregated and transplanted into kidney capsules of diabetic nude mice or normal nude mice. Blood glucose level and body weight were measured every other day after transplantation. The engraftment of the transplanted cells and differentiation into beta cells were assessed using immunohistochemistry.

Results

Re-aggregation of the pancreatic cells before transplantation improved engraftment of the cells and facilitated neovascularization of the graft. Right before transplantation, pancreatic cells that were transfected with pEBVHGF and then re-aggregated showed ductal cell marker expression. However, ductal cells disappeared and the cells underwent fibrosis in a diabetes mouse model two to five weeks after transplantation; these mice also did not show controlled blood glucose levels. Furthermore, pancreatic cells transplanted into nude mice with normal blood glucose showed poor graft survival regardless of the type of transfected plasmid (pCEP4, pHGF, or pEBVHGF).

Conclusion

For clinical application of transfected neonatal porcine pancreatic cells, further studies are required to develop methods of overcoming the damage for the cells caused by repeated transfection and to re-aggregate them into islet-like structures.

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  • Successful xenotransplantation with re‐aggregated and encapsulated neonatal pig liver cells for treatment of mice with acute liver failure
    Dong‐Sik Ham, Min‐Sang Song, Heon‐Seok Park, Marie Rhee, Hae Kyung Yang, Seung‐Hwan Lee, Ji‐Won Kim, Eun‐Sun Jung, Kun‐Ho Yoon
    Xenotransplantation.2015; 22(4): 249.     CrossRef
  • Glycated Albumin Causes Pancreatic β-Cells Dysfunction Through Autophagy Dysfunction
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    Endocrinology.2013; 154(8): 2626.     CrossRef
  • Prevalence, Awareness, and Control of Hypertension among Diabetic Koreans
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    Diabetes & Metabolism Journal.2011; 35(4): 337.     CrossRef
Autoimmune Hypoglycemia in a Patient with Characterization of Insulin Receptor Autoantibodies
Suk Chon, Moon Chan Choi, Yun Jung Lee, You Cheol Hwang, In-Kyung Jeong, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-Taek Woo, Sung-Woon Kim, Jin-Woo Kim, Young Seol Kim
Diabetes Metab J. 2011;35(1):80-85.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.80
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AbstractAbstract PDFPubReader   
Background

Type B insulin resistance syndrome is a manifestation of autoantibodies to the insulin receptor that results in severe hyperglycemia and acanthosis nigricans. However, the mechanisms by which these autoantibodies induce hypoglycemia are largely unknown. In this paper, we report the case of patient with type B insulin resistance syndrome who presented with frequent severe fasting hypoglycemia and acanthosis nigricans.

Methods

To evaluate the mechanism of hypoglycemia, we measured the inhibition of insulin binding to erythrocytes and IM9 lymphocytes in a sample of the patient's dialyzed serum before and after immunosuppressive therapy.

Results

In the patient's pre-treatment serum IgG, the binding of 125I-insulin to erythrocytes was markedly inhibited in a dose-dependent manner until the cold insulin level reached 10-9 mol/L. We also observed dose-dependent inhibition of insulin binding to IM9 lymphocytes, which reached approximately 82% inhibition and persisted even when diluted 1:20. After treatment with glucocorticoids, insulin-erythrocyte binding activity returned to between 70% and 80% of normal, while the inhibition of insulin-lymphocyte binding was reduced by 17%.

Conclusion

We treated a patient with type B insulin resistance syndrome showing recurrent fasting hypoglycemia with steroids and azathioprine. We characterized the patient's insulin receptor antibodies by measuring the inhibition of insulin binding.

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  • Systematic Review—Type B Insulin Resistance With Isolated Hypoglycemia and Suppressed Insulin
    Natasha Brown, Marianne S Elston
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  • Type B insulin resistance syndrome: a systematic review
    Luizianne Mariano Martins, Virgínia Oliveira Fernandes, Manuela Montenegro Dias de Carvalho, Daniel Duarte Gadelha, Paulo Cruz de Queiroz, Renan Magalhães Montenegro
    Archives of Endocrinology and Metabolism.2020;[Epub]     CrossRef
  • Autoimmune hypoglycemia
    Marina Y. Yukina, Diana A. Davtyan, Ekaterina A. Troshina, Nurana F. Nuralieva
    Obesity and metabolism.2018; 15(3): 9.     CrossRef
  • Unique pharmacology of a novel allosteric agonist/sensitizer insulin receptor monoclonal antibody
    Simon A. Hinke, Anne M. Cieniewicz, Thomas Kirchner, Katharine D'Aquino, Rupesh Nanjunda, Jason Aligo, Robert Perkinson, Philip Cooper, Ken Boayke, Mark L. Chiu, Steve Jarantow, Eilyn R. Lacy, Yin Liang, Dana L. Johnson, Jean M. Whaley, Russell B. Lingham
    Molecular Metabolism.2018; 10: 87.     CrossRef
  • Combined Immunosuppressive Therapy Induces Remission in Patients With Severe Type B Insulin Resistance: A Prospective Cohort Study
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Letter
Letter: A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients (Korean Diabetes J 2010;34:359-67)
Eun-Jung Rhee
Diabetes Metab J. 2011;35(1):86-87.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.86
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Citations

Citations to this article as recorded by  
  • Discovery of a New Role of Human Resistin in Hepatocyte Low-Density Lipoprotein Receptor Suppression Mediated in Part by Proprotein Convertase Subtilisin/Kexin Type 9
    Michelle Melone, Larissa Wilsie, Oksana Palyha, Alison Strack, Shirya Rashid
    Journal of the American College of Cardiology.2012; 59(19): 1697.     CrossRef
Response
Response: A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients (Korean Diabetes J 2010;34:359-67)
Dong Kyun Kim, Sa Rah Lee, Min Sik Kim, Suk Hyang Bae, Jin Yeon Hwang, Jung-Min Kim, Sung Hwan Suh, Hye-Jeong Lee, Mi Kyoung Park, Duk Kyu Kim
Diabetes Metab J. 2011;35(1):88-89.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.88
  • 3,818 View
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Diabetes Metab J : Diabetes & Metabolism Journal