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Fan Y, Chow E, Lim CKP, Hou Y, Tsoi STF, Fan B, Lau ESH, Kong APS, Ma RCW, Wu H, Chan JCN, Luk AOY. Comparison of β-Cell Function and Insulin Sensitivity Between Normal-Weight and Obese Chinese With Young-Onset Type 2 Diabetes. Diabetes 2024; 73:953-963. [PMID: 38506952 DOI: 10.2337/db23-0966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
Normal-weight individuals with usual-onset type 2 diabetes have reduced β-cell function and greater insulin sensitivity compared with their obese counterparts. The relative contribution of β-cell dysfunction and insulin resistance to young-onset type 2 diabetes (YOD) among normal-weight individuals is not well established. In 44 individuals with YOD (24 with normal weight and 20 with obesity) and 24 healthy control individuals with normoglycemia (12 with normal weight and 12 with obesity), we conducted 2-h 12 mmol/L hyperglycemic clamps to measure acute (0-10 min) and steady-state (100-120 min) insulin and C-peptide responses, as well as insulin sensitivity index. Normal-weight individuals with YOD had lower acute insulin response, steady-state insulin and C-peptide responses, and a higher insulin sensitivity index compared with their obese counterparts with YOD. Compared with BMI-matched healthy control individuals, normal-weight individuals with YOD had lower acute and steady-state insulin and C-peptide responses but a similar insulin sensitivity index. The impairment of steady-state β-cell response relative to healthy control individuals was more pronounced in normal-weight versus obese individuals with YOD. In conclusion, normal-weight Chinese with YOD exhibited worse β-cell function but preserved insulin sensitivity relative to obese individuals with YOD and BMI-matched healthy individuals with normoglycemia. The selection of glucose-lowering therapy should account for pathophysiological differences underlying YOD between normal-weight and obese individuals. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Yingnan Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Cadmon K P Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Yong Hou
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Sandra T F Tsoi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
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Salvatore T, Galiero R, Caturano A, Rinaldi L, Criscuolo L, Di Martino A, Albanese G, Vetrano E, Catalini C, Sardu C, Docimo G, Marfella R, Sasso FC. Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes. Int J Mol Sci 2022; 24:ijms24010658. [PMID: 36614099 PMCID: PMC9820420 DOI: 10.3390/ijms24010658] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Since early times, being overweight and obesity have been associated with impaired glucose metabolism and type 2 diabetes (T2D). Similarly, a less frequent adult-onset diabetes in low body mass index (BMI) people has been known for many decades. This form is mainly found in developing countries, whereby the largest increase in diabetes incidence is expected in coming years. The number of non-obese patients with T2D is also on the rise among non-white ethnic minorities living in high-income Western countries due to growing migratory flows. A great deal of energy has been spent on understanding the mechanisms that bind obesity to T2D. Conversely, the pathophysiologic features and factors driving the risk of T2D development in non-obese people are still much debated. To reduce the global burden of diabetes, we need to understand why not all obese people develop T2D and not all those with T2D are obese. Moreover, through both an effective prevention and the implementation of an individualized clinical management in all people with diabetes, it is hoped that this will help to reduce this global burden. The purpose of this review is to take stock of current knowledge about the pathophysiology of diabetes not associated to obesity and to highlight which aspects are worthy of future studies.
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Affiliation(s)
- Teresa Salvatore
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Raffaele Galiero
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Alfredo Caturano
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Luca Rinaldi
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Livio Criscuolo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Anna Di Martino
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Gaetana Albanese
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Erica Vetrano
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Christian Catalini
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Celestino Sardu
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Giovanni Docimo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Raffaele Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
- Mediterrannea Cardiocentro, I–80122 Napoli, Italy
| | - Ferdinando Carlo Sasso
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
- Correspondence:
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Hu G. Are insulin sensitivity and β-cell function associated with adverse pregnancy outcomes among women with gestational diabetes? Chin Med J (Engl) 2022; 135:2521-2524. [PMID: 36583913 PMCID: PMC9944686 DOI: 10.1097/cm9.0000000000002383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Indexed: 12/31/2022] Open
Affiliation(s)
- Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
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Vipin VA, Blesson CS, Yallampalli C. Maternal low protein diet and fetal programming of lean type 2 diabetes. World J Diabetes 2022; 13:185-202. [PMID: 35432755 PMCID: PMC8984567 DOI: 10.4239/wjd.v13.i3.185] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/30/2021] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Maternal nutrition is found to be the key factor that determines fetal health in utero and metabolic health during adulthood. Metabolic diseases have been primarily attributed to impaired maternal nutrition during pregnancy, and impaired nutrition has been an immense issue across the globe. In recent years, type 2 diabetes (T2D) has reached epidemic proportion and is a severe public health problem in many countries. Although plenty of research has already been conducted to tackle T2D which is associated with obesity, little is known regarding the etiology and pathophysiology of lean T2D, a variant of T2D. Recent studies have focused on the effects of epigenetic variation on the contribution of in utero origins of lean T2D, although other mechanisms might also contribute to the pathology. Observational studies in humans and experiments in animals strongly suggest an association between maternal low protein diet and lean T2D phenotype. In addition, clear sex-specific disease prevalence was observed in different studies. Consequently, more research is essential for the understanding of the etiology and pathophysiology of lean T2D, which might help to develop better disease prevention and treatment strategies. This review examines the role of protein insufficiency in the maternal diet as the central driver of the developmental programming of lean T2D.
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Affiliation(s)
- Vidyadharan Alukkal Vipin
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States
| | - Chellakkan Selvanesan Blesson
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States
- Family Fertility Center, Texas Children's Hospital, Houston, TX 77030, United States
| | - Chandra Yallampalli
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States
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Redondo MJ, Balasubramanyam A. Toward an Improved Classification of Type 2 Diabetes: Lessons From Research into the Heterogeneity of a Complex Disease. J Clin Endocrinol Metab 2021; 106:e4822-e4833. [PMID: 34291809 PMCID: PMC8787852 DOI: 10.1210/clinem/dgab545] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Accumulating evidence indicates that type 2 diabetes (T2D) is phenotypically heterogeneous. Defining and classifying variant forms of T2D are priorities to better understand its pathophysiology and usher clinical practice into an era of "precision diabetes." EVIDENCE ACQUISITION AND METHODS We reviewed literature related to heterogeneity of T2D over the past 5 decades and identified a range of phenotypic variants of T2D. Their descriptions expose inadequacies in current classification systems. We attempt to link phenotypically diverse forms to pathophysiology, explore investigative methods that have characterized "atypical" forms of T2D on an etiological basis, and review conceptual frameworks for an improved taxonomy. Finally, we propose future directions to achieve the goal of an etiological classification of T2D. EVIDENCE SYNTHESIS Differences among ethnic and racial groups were early observations of phenotypic heterogeneity. Investigations that uncover complex interactions of pathophysiologic pathways leading to T2D are supported by epidemiological and clinical differences between the sexes and between adult and youth-onset T2D. Approaches to an etiological classification are illustrated by investigations of atypical forms of T2D, such as monogenic diabetes and syndromes of ketosis-prone diabetes. Conceptual frameworks that accommodate heterogeneity in T2D include an overlap between known diabetes types, a "palette" model integrated with a "threshold hypothesis," and a spectrum model of atypical diabetes. CONCLUSION The heterogeneity of T2D demands an improved, etiological classification scheme. Excellent phenotypic descriptions of emerging syndromes in different populations, continued clinical and molecular investigations of atypical forms of diabetes, and useful conceptual models can be utilized to achieve this important goal.
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Affiliation(s)
- Maria J Redondo
- Section of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
- Texas Children’s Hospital, Houston, TX 77030, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX 77030, USA
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Bhori M, Rastogi V, Tungare K, Marar T. A review on interplay between obesity, lipoprotein profile and nutrigenetics with selected candidate marker genes of type 2 diabetes mellitus. Mol Biol Rep 2021; 49:687-703. [PMID: 34669123 DOI: 10.1007/s11033-021-06837-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/12/2021] [Indexed: 12/06/2022]
Abstract
BACKGROUND Type 2 diabetes mellitus, a rapidly growing epidemic, and its frequently related complications demand global attention. The two factors commonly attributed to the epidemic are genetic factors and environmental factors. Studies indicate that the genetic makeup at an individual level and the environmental aspects influence the occurrence of the disease. However, there is insufficiency in understanding the mechanisms through which the gene mutations and environmental components individually lead to T2DM. Also, discrepancies have often been noted in the association of gene variants and type 2 diabetes when the gene factor is examined as a sole attribute to the disease. STUDY In this review initially, we have focused on the proposed ways through which CAPN10, FABP2, GLUT2, TCF7L2, and ENPP1 variants lead to T2DM along with the inconsistencies observed in the gene-disease association. The article also emphasizes on obesity, lipoprotein profile, and nutrition as environmental factors and how they lead to T2DM. Finally, the main objective is explored, the environment-gene-disease association i.e. the influence of each environmental factor on the aforementioned specific gene-T2DM relationship to understand if the disease-causing capability of the gene variants is exacerbated by environmental influences. CONCLUSION We found that environmental factors may influence the gene-disease relationship. Reciprocally, the genetic factors may alter the environment-disease relationship. To precisely conclude that the two factors act synergistically to lead to T2DM, more attention has to be paid to the combined influence of the genetic variants and environmental factors on T2DM occurrence instead of studying the influence of the factors separately.
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Affiliation(s)
- Mustansir Bhori
- School of Biotechnology and Bioinformatics, D. Y. Patil Deemed To Be University, Navi Mumbai, 400614, India
| | - Varuni Rastogi
- School of Biotechnology and Bioinformatics, D. Y. Patil Deemed To Be University, Navi Mumbai, 400614, India
| | - Kanchanlata Tungare
- School of Biotechnology and Bioinformatics, D. Y. Patil Deemed To Be University, Navi Mumbai, 400614, India.
| | - Thankamani Marar
- School of Biotechnology and Bioinformatics, D. Y. Patil Deemed To Be University, Navi Mumbai, 400614, India
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Park JM, Park DH, Song Y, Kim JO, Choi JE, Kwon YJ, Kim SJ, Lee JW, Hong KW. Understanding the genetic architecture of the metabolically unhealthy normal weight and metabolically healthy obese phenotypes in a Korean population. Sci Rep 2021; 11:2279. [PMID: 33500527 PMCID: PMC7838176 DOI: 10.1038/s41598-021-81940-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/14/2021] [Indexed: 01/30/2023] Open
Abstract
Understanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometabolic diseases. Here, we conducted genome-wide association studies (GWASs) to identify the MUHNW and MHO genetic indices. The study dataset comprised genome-wide single-nucleotide polymorphism genotypes and epidemiological data from 49,915 subjects categorised into four phenotypes-metabolically healthy normal weight (MHNW), MUHNW, MHO, and metabolically unhealthy obese (MUHO). We conducted two GWASs using logistic regression analyses and adjustments for confounding variables (model 1: MHNW versus MUHNW and model 2: MHO versus MUHO). GCKR, ABCB11, CDKAL1, LPL, CDKN2B, NT5C2, APOA5, CETP, and APOC1 were associated with metabolically unhealthy phenotypes among normal weight individuals (model 1). LPL, APOA5, and CETP were associated with metabolically unhealthy phenotypes among obese individuals (model 2). The genes common to both models are related to lipid metabolism (LPL, APOA5, and CETP), and those associated with model 1 are related to insulin or glucose metabolism (GCKR, CDKAL1, and CDKN2B). This study reveals the genetic architecture of the MUHNW and MHO phenotypes in a Korean population-based cohort. These findings could help identify individuals at a high metabolic risk in normal weight and obese populations and provide potential novel targets for the management of metabolically unhealthy phenotypes.
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Affiliation(s)
- Jae-Min Park
- grid.15444.300000 0004 0470 5454Department of Family Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju‐ro, Gangnam-gu, Seoul, 06273 Korea ,grid.15444.300000 0004 0470 5454Department of Medicine, Graduate School of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722 Korea
| | - Da-Hyun Park
- Theragen Bio Co., Ltd., 145 Gwanggyo-ro, Suwon-si, Gyeonggi-do 16229 Korea
| | - Youhyun Song
- grid.15444.300000 0004 0470 5454Department of Family Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju‐ro, Gangnam-gu, Seoul, 06273 Korea
| | - Jung Oh Kim
- Theragen Bio Co., Ltd., 145 Gwanggyo-ro, Suwon-si, Gyeonggi-do 16229 Korea
| | - Ja-Eun Choi
- Theragen Bio Co., Ltd., 145 Gwanggyo-ro, Suwon-si, Gyeonggi-do 16229 Korea
| | - Yu-Jin Kwon
- grid.15444.300000 0004 0470 5454Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, 363 Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do 16995 Korea
| | - Seong-Jin Kim
- Theragen Bio Co., Ltd., 145 Gwanggyo-ro, Suwon-si, Gyeonggi-do 16229 Korea
| | - Ji-Won Lee
- grid.15444.300000 0004 0470 5454Department of Family Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju‐ro, Gangnam-gu, Seoul, 06273 Korea
| | - Kyung-Won Hong
- Theragen Bio Co., Ltd., 145 Gwanggyo-ro, Suwon-si, Gyeonggi-do 16229 Korea
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Benberin VV, Vochshenkova TA, Abildinova GZ, Borovikova AV, Nagimtayeva AA. Polymorphic genetic markers and how they are associated with clinical and metabolic indicators of type 2 diabetes mellitus in the Kazakh population. J Diabetes Metab Disord 2021; 20:131-140. [PMID: 34178825 DOI: 10.1007/s40200-020-00720-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 12/28/2020] [Indexed: 10/22/2022]
Abstract
Background Type 2 diabetes mellitus is a serious public health problem worldwide. The aim of the study was to analyze the relationship of eight polymorphic gene variants with the development of clinical-metabolic rates of type 2 diabetes mellitus inside Kazakh population. Materials and methods 139 patients with type 2 diabetes mellitus and 100 patients in the control group were examined. Genotyping of polymorphisms of candidate genes was carried out on a next generation QuantStudio 12 K Flex unit. Results Gene TCF7L2 locus rs7901695 and rs7903146, gene KCNQ1 locus rs2237892, rs7756992, and gene CDKAL1 locus rs7754840 demonstrated statistically significant associations with glucose metabolism, lipid profile and body mass index (BMI) in type 2 DM inside the population. Statistically significant difference in anthropometric and biochemical measures of rs17584499, rs4712523 and rs163184 has not been revealed. Conclusions Genetic polymorphisms that influence pancreatic gland beta-cells insulin release and secretion associate with metabolic and anthropometric measures definitive for type 2 DM in Kazakh population.
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Affiliation(s)
- Valeriy V Benberin
- Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Tamara A Vochshenkova
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Gulshara Zh Abildinova
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Anna V Borovikova
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Almagul A Nagimtayeva
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
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Aamir AH, Ul-Haq Z, Fazid S, Shah BH, Raza A, Jawa A, Mahar SA, Ahmad I, Qureshi FM, Heald AH. Type 2 diabetes prevalence in Pakistan: what is driving this? Clues from subgroup analysis of normal weight individuals in diabetes prevalence survey of Pakistan. Cardiovasc Endocrinol Metab 2020; 9:159-164. [PMID: 33225231 PMCID: PMC7673776 DOI: 10.1097/xce.0000000000000212] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 05/18/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a global health tissue. We determined factors relating to the likelihood of developing T2DM in normal BMI individuals. METHODOLOGY This was a cross-sectional community-based representative survey, of people aged ≥20 years in Pakistan, using HBA1c as the screening tool. The prevalence of T2DM/prediabetes in people having normal BMI together with associated risk factors was estimated. RESULTS Of 6824 normal BMI individuals, there was still a high prevalence of T2DM 14.92% and in underweight at 10.14% (overall prevalence 16.96%). Corresponding rates for prediabetes for the normal BMI category: 9.79% and underweight 8.99%. Multivariate logistic regression modeling for normal BMI individuals, showed a significantly increased risk of T2DM with increasing age (odds ratio [OR] 2.1, 3.3, 4.5 and 4.8, P < 0.001 for 31-40, 41-50, 51-60 and 61 years and above respectively, compared to age decade 20-30 years). Similarly, there was a significantly high risk of T2DM with lower education level [OR for no vs graduate 2.4, 95% confidence interval (CI) 1.5-3.8]. There was a significantly increased risk of T2DM in individuals having a positive family history [OR 4.3 (95% CI 7.0-11.5)]. Overall the influence of overweight/obese on T2DM occurrence (20% increased risk) was much less than in other regions of the world. CONCLUSION There are higher than expected rates of T2DM/prediabetes in Pakistani ethnicity normal BMI individuals. Targeted screening of older individuals with historical lack of educational opportunity, with a family history of T2DM even if of normal BMI may result in a significant benefit in the Pakistan population.
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Affiliation(s)
- Azizul Hasan Aamir
- Department of Diabetes, Endocrinology and Metabolic Diseases, Hayatabad Medical Complex
| | - Zia Ul-Haq
- Institute of Public Health and Social Sciences, Khyber Medical University, Peshawar, Pakistan
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Sheraz Fazid
- Institute of Public Health and Social Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Basharat Hussain Shah
- Institute of Public Health and Social Sciences, Khyber Medical University, Peshawar, Pakistan
| | | | - Ali Jawa
- Pakistan Institute of Medical Sciences, Islamabad
| | | | | | | | - Adrian H. Heald
- The School of Medicine and Manchester Academic Sciences Centre, University of Manchester, Manchester
- Salford Royal Hospital, Salford, UK
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Abstract
An etiologically based classification of diabetes is needed to account for the heterogeneity of type 1 and type 2 diabetes (T1D and T2D) and emerging forms of diabetes worldwide. It may be productive for both classification and clinical discovery to consider variant forms of diabetes as a spectrum. Maturity onset diabetes of youth and neonatal diabetes serve as models for etiologically defined, rare forms of diabetes in the spectrum. Ketosis-prone diabetes is a model for more complex forms, amenable to phenotypic dissection. Bioinformatic approaches such as clustering analyses of large datasets and multi-omics investigations of rare and atypical phenotypes are promising avenues to explore and define new subgroups of diabetes.
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Affiliation(s)
- Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, Texas 77030, USA;
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11
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Baik I, Park SI. Associations of alcohol consumption and physical activity with lean type 2 diabetes mellitus among Korean adults: A prospective cohort study. PLoS One 2020; 15:e0238641. [PMID: 32881937 PMCID: PMC7470281 DOI: 10.1371/journal.pone.0238641] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 08/20/2020] [Indexed: 12/20/2022] Open
Abstract
Data on the association between alcohol consumption and the risk of type 2 diabetes mellitus (T2DM) have accumulated, but little has been reported about this association in terms of lean T2DM. The present study analyzed 10-year longitudinal data to investigate the association between alcohol consumption and T2DM risk among lean individuals. This prospective study included 2,366 male and female Koreans aged 40–69 years who were free of DM and had a body mass index (BMI) <23 kg/m2 during the baseline period between 2001 and 2012. Information on alcohol consumption, BMI, and incident cases of T2DM were identified by interviews and health examinations. To analyze the association between alcohol consumption and T2DM risk, Cox proportional hazard regression analysis was used. Alcohol drinkers consuming at least 16 g/day of alcohol (2 units/day) who maintained a BMI <23 kg/m2 over 10 years had a significantly higher T2DM risk even after controlling for BMI and potential risk factors. Compared with lifetime abstainers, multivariate hazard ratios (HR) [95% confidence interval] of T2DM were 1.74 [1.02, 2.95] for 16–30 g/day, 2.09 [1.16, 3.77] for 31–60 g/day, and 1.94 [1.07, 3.51] for >60g/day among alcohol drinkers. No protective effect of moderate alcohol consumption <16 g/day on T2DM risk was observed. Age, parental history of DM, and physical inactivity were also significant risk factors for lean T2DM. Alcohol consumption of at least 2 units/day increased T2DM risk among lean individuals. Abstaining from alcohol and physical activity may be beneficial for the prevention of lean T2DM.
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Affiliation(s)
- Inkyung Baik
- Department of Foods and Nutrition, College of Science and Technology, Kookmin University, Seoul, Republic of Korea
- * E-mail:
| | - Sang Ick Park
- Center for Biomedical Sciences, Korea National Institute of Health, Cheongju, Republic of Korea
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Sirdah MM, Reading NS. Genetic predisposition in type 2 diabetes: A promising approach toward a personalized management of diabetes. Clin Genet 2020; 98:525-547. [PMID: 32385895 DOI: 10.1111/cge.13772] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 05/04/2020] [Accepted: 05/04/2020] [Indexed: 02/06/2023]
Abstract
Diabetes mellitus, also known simply as diabetes, has been described as a chronic and complex endocrine metabolic disorder that is a leading cause of death across the globe. It is considered a key public health problem worldwide and one of four important non-communicable diseases prioritized for intervention through world health campaigns by various international foundations. Among its four categories, Type 2 diabetes (T2D) is the commonest form of diabetes accounting for over 90% of worldwide cases. Unlike monogenic inherited disorders that are passed on in a simple pattern, T2D is a multifactorial disease with a complex etiology, where a mixture of genetic and environmental factors are strong candidates for the development of the clinical condition and pathology. The genetic factors are believed to be key predisposing determinants in individual susceptibility to T2D. Therefore, identifying the predisposing genetic variants could be a crucial step in T2D management as it may ameliorate the clinical condition and preclude complications. Through an understanding the unique genetic and environmental factors that influence the development of this chronic disease individuals can benefit from personalized approaches to treatment. We searched the literature published in three electronic databases: PubMed, Scopus and ISI Web of Science for the current status of T2D and its associated genetic risk variants and discus promising approaches toward a personalized management of this chronic, non-communicable disorder.
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Affiliation(s)
- Mahmoud M Sirdah
- Division of Hematology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Biology Department, Al Azhar University-Gaza, Gaza, Palestine
| | - N Scott Reading
- Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA.,Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA
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13
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Wang X, Wu J, Wu Y, Wang M, Wang Z, Wu T, Chen D, Tang X, Qin X, Wu Y, Hu Y. Pleiotropic Effects of a KCNQ1 Variant on Lipid Profiles and Type 2 Diabetes: A Family-Based Study in China. J Diabetes Res 2020; 2020:8278574. [PMID: 32016123 PMCID: PMC6982365 DOI: 10.1155/2020/8278574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 01/03/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE The genetic variant rs2237895, located in the Potassium Voltage-Gated Channel Subfamily Q Member 1 (KCNQ1) gene, has been replicated to be associated with type 2 diabetes mellitus (T2DM) susceptibility, but the relationship with lipids is conflicting. Furthermore, the common genetic predisposition to T2DM and lipids was not fully detected. METHODS In total, 5839 individuals (2220 were T2DM patients) across 2885 families were included. The effect of rs2237895 on T2DM and lipids was estimated using linear regression and logistic regression models after adjustment for multiple covariates. Mediation analysis was then used to test whether KCNQ1 participated in T2DM pathogenesis via lipid-mediated pathways. RESULTS Per allele-C of rs2237895 was associated with 17% (11-23%, P < 0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%. CONCLUSION KCNQ1 had pleiotropic effects on lipids and T2DM, and the unexpected genetic effect on association of HDL-C with T2DM was observed, indicating the different pathways to lipids and T2DM. Further research studies are needed to verify potential biological mechanisms.
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Affiliation(s)
- Xiaowen Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Yao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Zijing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Dafang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Xun Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
- Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China
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14
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Cho SB, Kim SC, Chung MG. Identification of novel population clusters with different susceptibilities to type 2 diabetes and their impact on the prediction of diabetes. Sci Rep 2019; 9:3329. [PMID: 30833619 PMCID: PMC6399283 DOI: 10.1038/s41598-019-40058-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 02/05/2019] [Indexed: 01/10/2023] Open
Abstract
Type 2 diabetes is one of the subtypes of diabetes. However, previous studies have revealed its heterogeneous features. Here, we hypothesized that there would be heterogeneity in its development, resulting in higher susceptibility in some populations. We performed risk-factor based clustering (RFC), which is a hierarchical clustering of the population with profiles of five known risk factors for type 2 diabetes (age, gender, body mass index, hypertension, and family history of diabetes). The RFC identified six population clusters with significantly different prevalence rates of type 2 diabetes in the discovery data (N = 10,023), ranging from 0.09 to 0.44 (Chi-square test, P < 0.001). The machine learning method identified six clusters in the validation data (N = 215,083), which also showed the heterogeneity of prevalence between the clusters (P < 0.001). In addition to the prevalence of type 2 diabetes, the clusters showed different clinical features including biochemical profiles and prediction performance with the risk factors. SOur results seem to implicate a heterogeneous mechanism in the development of type 2 diabetes. These results will provide new insights for the development of more precise management strategy for type 2 diabetes.
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Affiliation(s)
- Seong Beom Cho
- Division of Biomedical Informatics, National Institute of Health, KCDC, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
| | - Sang Cheol Kim
- Division of Biomedical Informatics, National Institute of Health, KCDC, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea
| | - Myung Guen Chung
- Division of Biomedical Informatics, National Institute of Health, KCDC, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea
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15
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Epigenome-wide methylation differences in a group of lean and obese women - A HUNT Study. Sci Rep 2018; 8:16330. [PMID: 30397228 PMCID: PMC6218540 DOI: 10.1038/s41598-018-34003-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 10/07/2018] [Indexed: 01/04/2023] Open
Abstract
Knowledge of epigenetically regulated biomarkers linked to obesity development is still scarce. Improving molecular understanding of the involved factors and pathways would improve obesity phenotype characterization and reveal potentially relevant targets for obesity intervention. The Illumina Infinium HumanMethylation450 BeadChip was used in a leucocyte epigenome-wide association study (EWAS) to quantify differential DNA methylation in 60 lean compared with 60 obese young women. Replication was done in monozygotic twins discordant for obesity. At adolescence and adulthood, the two weight groups differed significantly in obesity-related traits and metabolic risk factors. Differential hypomethylation was overrepresented in obese compared to lean women. In the adjusted model, the EWAS revealed 10 differentially methylated CpG sites linked to 8 gene loci – COX6A1P2/FGD2, SBNO2, TEX41, RPS6KA2, IGHE/IGHG1/IGHD, DMAP1, SOCS3, and SETBP1– and an enhancer locus at chromosome 2 (2p25.1). The sites linked to TEX41, IGHE/IGHG1/IGHD, DMAP1, and SETBP1 were novel findings, while COX6A1P/FGD2, SBNO2, RPS6KA2, and SOCS3 had been identified previously with concordant direction of effects. RPS6KA2, DMAP1, and SETBP1 were replicated in the BMI-discordant monozygotic twin cohort using the FDR of 5%.
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16
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Lu CC, Chen YT, Chen SY, Hsu YM, Lin CC, Tsao JW, Juan YN, Yang JS, Tsai FJ. Hematopoietically expressed homeobox gene is associated with type 2 diabetes in KK Cg-A y/J mice and a Taiwanese Han Chinese population. Exp Ther Med 2018; 16:185-191. [PMID: 29896239 PMCID: PMC5995076 DOI: 10.3892/etm.2018.6152] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 11/29/2017] [Indexed: 12/12/2022] Open
Abstract
Diabetes mellitus (DM) is a chronic disease. The KK Cg-Ay/J (KK-Ay) mouse is an animal model to study type 2 diabetes mellitus (T2D) disease. The present study assessed the expression of hematopoietically expressed homeobox (HHEX) protein in liver tissues of different age groups of mice (6, 16 and 42 weeks) by immunohistochemistry (IHC). The results demonstrated a significant decrease in the percentage of HHEX-positive cells in KK-Ay mice as compared with that in KK-α/α control mice. Furthermore, in Taiwan's Han Chinese population, genotypic and allelic frequency distributions of the rs61862780 single-nucleotide polymorphism (SNP) in the HHEX gene were investigated. The results demonstrated that in the rs61862780 SNP of the 3′-untranslated region (UTR) of HHEX, the frequency of the CC genotype was higher in patients (6.0%) than in controls (2.7%), while the TT genotype frequency was about equal. In the same SNP, the frequency of the C allele was higher in patients (21.0%) than in controls (17.3%), while the T allele frequency was about equal. These results may pave the road for exploring the KK-Ay mouse model and the HHEX SNP rs61862780, which was correlated with the susceptibility to T2D in a Chinese population. Based on these findings, an association of HHEX gene expression with pathological features of T2D was indicated.
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Affiliation(s)
- Chi-Cheng Lu
- Department of Pharmacy, Buddhist Tzu Chi General Hospital, Hualien 97002, Taiwan, R.O.C
| | - Yng-Tay Chen
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C.,Human Genetics Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Shih-Yin Chen
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C.,Human Genetics Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Yuan-Man Hsu
- Department of Biological Science and Technology, China Medical University, Taichung 40402, Taiwan, R.O.C
| | - Chyi-Chyang Lin
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Je-Wei Tsao
- School of Pharmacy, China Medical University, Taichung 40402, Taiwan, R.O.C
| | - Yu-Ning Juan
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Jai-Sing Yang
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Fuu-Jen Tsai
- Human Genetics Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C.,Department of Medical Genetics, China Medical University Hospital, Taichung 40447, Taiwan, R.O.C.,School of Chinese Medicine, China Medical University, Taichung 40402, Taiwan, R.O.C
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17
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Noordam R, Zwetsloot CPA, de Mutsert R, Mook-Kanamori DO, Lamb HJ, de Roos A, de Koning EJP, Rosendaal FR, Willems van Dijk K, van Heemst D. Interrelationship of the rs7903146 TCF7L2 gene variant with measures of glucose metabolism and adiposity: The NEO study. Nutr Metab Cardiovasc Dis 2018; 28:150-157. [PMID: 29174029 DOI: 10.1016/j.numecd.2017.10.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 10/07/2017] [Accepted: 10/09/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND AIMS We investigated the interrelationship of rs7903146-T in TCF7L2 with measures of glucose metabolism and measures of adiposity. METHODS AND RESULTS This cross-sectional analysis was conducted in 5744 middle-aged participants (mean (standard deviation [SD]) age is 55.9 (6.0) years) from the Netherlands Epidemiology of Obesity (NEO) Study. Associations between rs7903146-T and Type 2 diabetes mellitus (T2D) were assessed with logistic regression. Additive (per-allele) associations with measures of glucose metabolism (e.g., fasting insulin) and adiposity (e.g., body mass index [BMI]) were examined with multivariable linear regression. In the total study population, rs7903146-T was associated with a higher risk of T2D (additive odds ratio: 1.42; 95% confidence interval: 1.17; 1.72), and specifically with T2D treated with insulin analogs (2.31 [1.19; 4.46]). After exclusion of participants treated with glucose-lowering medication, rs7903146-T was associated with lower mean insulin concentration (additive mean difference: -0.07 SD [-0.14; 0.00]), but not with higher mean glucose concentration (0.03 SD [-0.01; 0.07]). Furthermore, rs7903146-T was associated with, among other measures of adiposity, a lower mean BMI (-0.04 SD [-0.09; -0.00]), and a lower mean total body fat (-0.04 SD [-0.08; -0.00]). The association between rs7903146-T and T2D increased after adjustment for BMI (odds ratio: 1.51 [1.24; 1.86]); the association between rs7903146-T and fasting insulin diminished after adjustment (-0.05 SD [-0.11; 0.02]). CONCLUSION rs7903146-T is associated with a decreased insulin concentration and increased risk of T2D with opposing effects of adjustment for adiposity.
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Affiliation(s)
- R Noordam
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
| | - C P A Zwetsloot
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - H J Lamb
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A de Roos
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - E J P de Koning
- Department of Internal Medicine, Section Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands; Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - K Willems van Dijk
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Internal Medicine, division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - D van Heemst
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
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18
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Nikitin AG, Potapov VY, Brovkina OI, Koksharova EO, Khodyrev DS, Philippov YI, Michurova MS, Shamkhalova MS, Vikulova OK, Smetanina SA, Suplotova LA, Kononenko IV, Kalashnikov VY, Smirnova OM, Mayorov AY, Nosikov VV, Averyanov AV, Shestakova MV. Association of polymorphic markers of genes FTO, KCNJ11, CDKAL1, SLC30A8, and CDKN2B with type 2 diabetes mellitus in the Russian population. PeerJ 2017; 5:e3414. [PMID: 28717589 PMCID: PMC5511504 DOI: 10.7717/peerj.3414] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 05/14/2017] [Indexed: 01/11/2023] Open
Abstract
Background The association of type 2 diabetes mellitus (T2DM) with the KCNJ11, CDKAL1, SLC30A8, CDKN2B, and FTO genes in the Russian population has not been well studied. In this study, we analysed the population frequencies of polymorphic markers of these genes. Methods The study included 862 patients with T2DM and 443 control subjects of Russian origin. All subjects were genotyped for 10 single nucleotide polymorphisms (SNPs) of the genes using real-time PCR (TaqMan assays). HOMA-IR and HOMA-β were used to measure insulin resistance and β-cell secretory function, respectively. Results The analysis of the frequency distribution of polymorphic markers for genes KCNJ11, CDKAL1, SLC30A8 and CDKN2B showed statistically significant associations with T2DM in the Russian population. The association between the FTO gene and T2DM was not statistically significant. The polymorphic markers rs5219 of the KCNJ11 gene, rs13266634 of the SLC30A8 gene, rs10811661 of the CDKN2B gene and rs9465871, rs7756992 and rs10946398 of the CDKAL1 gene showed a significant association with impaired glucose metabolism or impaired β-cell function. Conclusion In the Russian population, genes, which affect insulin synthesis and secretion in the β-cells of the pancreas, play a central role in the development of T2DM.
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Affiliation(s)
- Aleksey G Nikitin
- Federal Research Clinical Center for Specialized Types of Health Care and Medical Technologies of Federal Medical and Biology Agency, Moscow, Russian Federation
| | - Viktor Y Potapov
- Clinic of New Medical Technologies "Archimedes", Moscow, Russian Federation
| | - Olga I Brovkina
- Federal Research Clinical Center for Specialized Types of Health Care and Medical Technologies of Federal Medical and Biology Agency, Moscow, Russian Federation
| | | | - Dmitry S Khodyrev
- Federal Research Clinical Center for Specialized Types of Health Care and Medical Technologies of Federal Medical and Biology Agency, Moscow, Russian Federation
| | | | | | | | - Olga K Vikulova
- Endocrinology Research Centre, Moscow, Russian Federation.,I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | | | | | - Irina V Kononenko
- Endocrinology Research Centre, Moscow, Russian Federation.,I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | | | - Olga M Smirnova
- Endocrinology Research Centre, Moscow, Russian Federation.,I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | - Alexander Y Mayorov
- Endocrinology Research Centre, Moscow, Russian Federation.,I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | - Valery V Nosikov
- State Research Institute of Genetics and Selection of Industrial Microorganisms, Moscow, Russian Federation
| | - Alexander V Averyanov
- Federal Research Clinical Center for Specialized Types of Health Care and Medical Technologies of Federal Medical and Biology Agency, Moscow, Russian Federation
| | - Marina V Shestakova
- Endocrinology Research Centre, Moscow, Russian Federation.,I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
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19
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Affiliation(s)
- Jian-Ping Weng
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA
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20
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Corella D, Coltell O, Sorlí JV, Estruch R, Quiles L, Martínez-González MÁ, Salas-Salvadó J, Castañer O, Arós F, Ortega-Calvo M, Serra-Majem L, Gómez-Gracia E, Portolés O, Fiol M, Díez Espino J, Basora J, Fitó M, Ros E, Ordovás JM. Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic Risk Scores. Nutrients 2016; 8:E793. [PMID: 27929407 PMCID: PMC5188448 DOI: 10.3390/nu8120793] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 11/17/2016] [Accepted: 11/17/2016] [Indexed: 11/24/2022] Open
Abstract
Nutrigenetic studies analyzing gene-diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2-rs7903146 is one of the most influential variants in T2D-genetic risk scores (GRS). Therefore, to increase the predictive value (PV) of GRS it is necessary to first see whether the included polymorphisms have heterogeneous effects. We comprehensively investigated gene-obesity interactions between the TCF7L2-rs7903146 C > T polymorphism on T2D (prevalence and incidence) and analyzed other T2D-polymorphisms in a sub-sample. We studied 7018 PREDIMED participants at baseline and longitudinally (8.7 years maximum follow-up). Obesity significantly interacted with the TCF7L2-rs7903146 on T2D prevalence, associations being greater in non-obese subjects. Accordingly, we prospectively observed in non-T2D subjects (n = 3607) that its association with T2D incidence was stronger in non-obese (HR: 1.81; 95% CI: 1.13-2.92, p = 0.013 for TT versus CC) than in obese subjects (HR: 1.01; 95% CI: 0.61-1.66; p = 0.979; p-interaction = 0.048). Accordingly, TCF7L2-PV was higher in non-obese subjects. Additionally, we created obesity-specific GRS with ten T2D-polymorphisms and demonstrated for the first time their higher strata-specific PV. In conclusion, we provide strong evidence supporting the need for considering obesity when analyzing the TCF7L2 effects and propose the use of obesity-specific GRS for T2D.
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Affiliation(s)
- Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Computer Languages and Systems, School of Technology and Experimental Sciences, Universitat Jaume I, 12071 Castellón, Spain.
| | - Jose V Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Internal Medicine, Hospital Clinic, IDIBAPS, 08036 Barcelona, Spain.
| | - Laura Quiles
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-Navarra Institute for Health Research (IdisNa), 31009 Pamplona, Spain.
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, University Rovira i Virgili, 43003 Reus, Spain.
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Cardiology, Hospital Txagorritxu, 01009 Vitoria, Spain.
| | - Manuel Ortega-Calvo
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Centro de Salud Las Palmeritas, 41003 Sevilla, Spain.
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain.
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Epidemiology, School of Medicine, University of Malaga, 29071 Malaga, Spain.
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Palma Institute of Health Research (IdISPa), Hospital Son Espases, 07014 Palma de Mallorca, Spain.
| | - Javier Díez Espino
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-Navarra Institute for Health Research (IdisNA)-Servicio Navarro de Salud-Osasunbidea, 31009 Pamplona, Spain.
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, University Rovira i Virgili, 43003 Reus, Spain.
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, 08036 Barcelona, Spain.
| | - José M Ordovás
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA.
- Department of Cardiovascular Epidemiology and Population Genetics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid 28029-IMDEA Alimentación, 28049 Madrid, Spain.
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Chikowore T, van Zyl T, Feskens EJM, Conradie KR. Predictive utility of a genetic risk score of common variants associated with type 2 diabetes in a black South African population. Diabetes Res Clin Pract 2016; 122:1-8. [PMID: 27744072 DOI: 10.1016/j.diabres.2016.09.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 09/21/2016] [Accepted: 09/22/2016] [Indexed: 01/24/2023]
Abstract
AIMS To determine the predictive utility of polygenic risk scores of common variants associated with type 2 diabetes derived from the European and Asian ethnicities among a black South African population. METHOD Our study was a case-control study nested within the Prospective Urban and Rural Epidemiological (PURE) study of 178 male and female cases, matched for age and gender with 178 controls. Four types of genetic risk scores (GRS) were developed from 66 selected SNPs. These comprised of beta cell related variants (GRSb), variants which had significant associations with T2D in our study (GRSn), variants from the trans-ethnic meta-analysis (GRStrans) and all the 66 selected SNPs (GRSt). RESULTS Of the GRS's, only GRSn was associated with increased risk of T2D as indicated by an OR (95CI) of 1.21 (1.02-1.43) p-value=0.015. Stratified analysis of age and BMI, indicated the GRSn to be significantly associated with T2D among the non-obese and participants less than 50years. The area under the ROC of the T2D risk factors only was 0.652 (p value<0.001) and with the addition of GRSn it was 0.665 (p value<0.001). CONCLUSIONS The GRS of European and Asian derived variants have limited clinical utility in the black South African population. The inclusion of population specific variants in the GRS is pivotal.
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Affiliation(s)
- Tinashe Chikowore
- Centre for Excellence in Nutrition, North-West University, Potchefstroom, North West Province 2520, South Africa.
| | - Tertia van Zyl
- Centre for Excellence in Nutrition, North-West University, Potchefstroom, North West Province 2520, South Africa
| | - Edith J M Feskens
- Wageningen University, Division of Human Nutrition, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Karin R Conradie
- Centre for Excellence in Nutrition, North-West University, Potchefstroom, North West Province 2520, South Africa
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22
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Erratum: Medicine, Volume 95, Issue 23: Erratum. Medicine (Baltimore) 2016; 95:e0916. [PMID: 31265603 PMCID: PMC4956773 DOI: 10.1097/01.md.0000489580.04709.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
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