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Fang Y, Zhang J, Ji L, Zhu C, Xiao Y, Gao Q, Song W, Wei L. GLP1R rs3765467 Polymorphism Is Associated with the Risk of Early Onset Type 2 Diabetes. Int J Endocrinol 2023; 2023:8729242. [PMID: 38131033 PMCID: PMC10735718 DOI: 10.1155/2023/8729242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 01/19/2023] [Accepted: 04/18/2023] [Indexed: 12/23/2023] Open
Abstract
Objective To investigate the relationship between glucagon-like peptide-1 receptor gene polymorphisms and susceptibility to early onset type 2 diabetes. Methods Samples from 316 type 2 diabetes patients with early onset type 2 diabetes (n = 137) and late-onset type 2 diabetes (n = 179) and 145 nondiabetic individuals were analyzed. Multiplex PCR combined with resequencing Hi-Reseq technology was used to detect single nucleotide polymorphisms of the glucagon-like peptide-1 receptor gene, and the allele frequency, genotype distribution, and clinical parameters were analyzed between each diabetes subgroup and the control group. Results Sixteen single nucleotide polymorphisms were identified in the exonic region of the glucagon-like peptide-1 receptor gene according to the minor allele frequency (MAF > 0.05) in the participants. Among these, the glucagon-like peptide-1 receptor rs3765467 (G⟶A) mutation was statistically associated with early onset type 2 diabetes. Compared with that of the GG carriers, carriers of genotype AA at rs3765467 had a decreased risk of early onset type 2 diabetes after adjusting for sex and body mass index. In the dominant model, the frequencies of the rs3765467 AA + GA genotype were significantly decreased in the early onset type 2 diabetes group, and carriers of genotype AA + GA at rs3765467 had a decreased risk of early onset type 2 diabetes after adjusting for sex and body mass index. Moreover, fasting C peptide levels were significantly higher in GA + AA genotype carriers than those in GG genotype carriers. Conclusion The glucagon-like peptide 1 receptor rs3765467 polymorphism was significantly associated with age at type 2 diabetes diagnosis and thus may be used as a marker to screen and detect individuals at risk of developing early onset type 2 diabetes.
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Affiliation(s)
- Yunyun Fang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
| | - Jingjing Zhang
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, 999 Hucheng Huan Road, Lingang New City, Shanghai 201306, China
| | - Linlin Ji
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
| | - Chaoyu Zhu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
| | - Yuanyuan Xiao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
| | - Qingge Gao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
| | - Wenjing Song
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
| | - Li Wei
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, Shanghai 200233, China
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Hosseinpour-Niazi S, Mirmiran P, Hosseini S, Hadaegh F, Ainy E, Daneshpour MS, Azizi F. Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review. Nutr J 2022; 21:59. [PMID: 36155628 PMCID: PMC9511734 DOI: 10.1186/s12937-022-00813-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 09/14/2022] [Indexed: 11/12/2022] Open
Abstract
Background Among candidate genes related to type 2 diabetes (T2DM), one of the strongest genes is Transcription factor 7 like 2 (TCF7L2), regarding the Genome-Wide Association Studies. We aimed to conduct a systematic review of the literature on the modification effect of TCF7L2 on the relation between glycemic parameters and lifestyle factors. Methods A systematic literature search was done for relevant publications using electronic databases, including PubMed, EMBASE, Scopus, and Web of Science, from January 1, 2000, to November 2, 2021. Results Thirty-eight studies (16 observational studies, six meal test trials, and 16 randomized controlled trials (RCTs)) were included. Most observational studies had been conducted on participants with non-diabetes showing that TCF7L2 modified the association between diet (fatty acids and fiber) and insulin resistance. In addition, findings from meal test trials showed that, compared to non-risk-allele carriers, consumption of meals with different percentages of total dietary fat in healthy risk-allele carriers increased glucose concentrations and impaired insulin sensitivity. However, ten RCTs, with intervention periods of less than ten weeks and more than one year, showed that TCF7L2 did not modify glycemic parameters in response to a dietary intervention involving different macronutrients. However, two weight loss dietary RCTs with more than 1-year duration showed that serum glucose and insulin levels decreased and insulin resistance improved in non-risk allele subjects with overweight/obesity. Regarding artichoke extract supplementation (ALE), two RCTs observed that ALE supplementation significantly decreased insulin concentration and improved insulin resistance in the TT genotype of the rs7903146 variant of TCF7L2. In addition, four studies suggested that physical activity levels and smoking status modified the association between TCF7L2 and glycemic parameters. However, three studies observed no effect of TCF7L2 on glycemic parameters in participants with different levels of physical activity and smoking status. Conclusion The modification effects of TCF7L2 on the relation between the lifestyle factors (diet, physical activity, and smoking status) and glycemic parameters were contradictory. PROSPERO registration number CRD42020196327 Supplementary Information The online version contains supplementary material available at 10.1186/s12937-022-00813-w.
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Affiliation(s)
- Somayeh Hosseinpour-Niazi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Shabnam Hosseini
- School of Human Nutrition, Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, Quebec, Canada
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elaheh Ainy
- Department of Vice Chancellor Research Affairs, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Adams JD, Egan AM, Laurenti MC, Schembri Wismayer D, Bailey KR, Cobelli C, Dalla Man C, Vella A. The Effect of Diabetes-Associated Variation in TCF7L2 on Postprandial Glucose Metabolism When Glucagon and Insulin Concentrations Are Matched. Metab Syndr Relat Disord 2022; 20:329-335. [PMID: 35442800 PMCID: PMC9419949 DOI: 10.1089/met.2021.0136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Background: The rs7903146 variant in the TCF7L2 gene is associated with defects in postprandial insulin and glucagon secretion and increased risk of type 2 diabetes. However, it is unclear if this variant has effects on glucose metabolism that are independent of islet function. Methods: We studied 54 nondiabetic subjects on two occasions where endogenous hormone secretion was inhibited by somatostatin. Twenty-nine subjects were homozygous for the diabetes-associated allele (TT) and 25 for the diabetes-protective allele (CC) at rs7903146, but otherwise matched for anthropometric characteristics. On 1 day, glucagon infused at a rate of 0.65 ng/kg/min, and at 0 min prevented a fall in glucagon (nonsuppressed day). On the contrary, infusion commenced at 120 min to create a transient fall in glucagon (suppressed day). Subjects received glucose (labeled with [3-3H]-glucose) infused to mimic the systemic appearance of oral glucose. Insulin was infused to mimic a prandial insulin response. Endogenous glucose production (EGP) was measured using the tracer dilution technique. Results: Lack of glucagon suppression increased postchallenge glucose concentrations and impaired EGP suppression. However, in the presence of matched insulin and glucagon concentrations, genetic variation in TCF7L2 did not alter glucose metabolism. Conclusion: These data suggest that genetic variation in TCF7L2 alters glucose metabolism through changes in islet hormone secretion.
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Affiliation(s)
- Jon D Adams
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Aoife M Egan
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Marcello C Laurenti
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Daniel Schembri Wismayer
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Kent R Bailey
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Claudio Cobelli
- Department of Woman and Child's Health and University of Padova, Padova, Italy
| | - Chiara Dalla Man
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Adrian Vella
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
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Podboi ICR, Stephenson S, Pilic L, Graham CAM, King A, Mavrommatis Y. Dietary Intake and TCF7L2 rs7903146 T Allele Are Associated with Elevated Blood Glucose Levels in Healthy Individuals. Lifestyle Genom 2021; 14:117-123. [PMID: 34515148 DOI: 10.1159/000518523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/09/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Type 2 diabetes (T2D) is a leading cause of global mortality with diet and genetics being considered amongst the most significant risk factors. Recently, studies have identified a single polymorphism of the TCF7L2 gene (rs7903146) as the most important genetic contributor. However, no studies have explored this factor in a healthy population and using glycated haemoglobin (HbA1c), which is a reliable long-term indicator of glucose management. This study investigates the association of the genetic polymorphism rs7903146 and dietary intake with T2D risk in a population free of metabolic disease. METHODS T2D risk was assessed using HbA1c plasma concentrations and dietary intake via a validated Food Frequency Questionnaire in 70 healthy participants. RESULTS T allele carriers had higher HbA1c levels than the CC group (32.4 ± 7.2 mmol/mol vs. 30.3 ± 7.6 mmol/mol, p = 0.005). Multiple regression reported associations between diet, genotype and HbA1c levels accounting for 37.1% of the variance in HbA1c (adj. R2 = 0.371, p < 0.001). The following macronutrients, expressed as a median percentage of total energy intake (TEI) in the risk group, were positively associated with HbA1c concentration: carbohydrate (≥39% TEI, p < 0.005; 95% CI 0.030/0.130) protein (≥21% TEI, p < 0.005, 95% CI 0.034/0.141), monounsaturated (≥15% TEI p < 0.05, 95% CI 0.006/0.163) and saturated fatty acids (≥13% TEI; p < 0.05, 95% CI 0.036/0.188). CONCLUSION Carriers of the T allele showed significantly higher levels of HbA1c compared to non-carriers. Dietary intake affected T2D risk to a greater extent than genetic effects of TCF7L2rs7903146 genotype in a healthy population. The study focus on healthy individuals is beneficial due to the applicability of findings for T2D screening.
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Affiliation(s)
| | - Sophie Stephenson
- Faculty of Sport, Allied Health and Performance Sciences/St Mary's University, Twickenham, United Kingdom
| | - Leta Pilic
- Faculty of Sport, Allied Health and Performance Sciences/St Mary's University, Twickenham, United Kingdom
| | | | - Alexandra King
- Faculty of Sport, Allied Health and Performance Sciences/St Mary's University, Twickenham, United Kingdom
| | - Yiannis Mavrommatis
- Faculty of Sport, Allied Health and Performance Sciences/St Mary's University, Twickenham, United Kingdom
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Mathiesen DS, Bagger JI, Hansen KB, Junker AE, Plamboeck A, Harring S, Idorn T, Hornum M, Holst JJ, Jonsson AE, Hansen T, Vilsbøll T, Lund A, Knop FK. No detectable effect of a type 2 diabetes-associated TCF7L2 genotype on the incretin effect. Endocr Connect 2020; 9:1221-1232. [PMID: 33252353 PMCID: PMC7774769 DOI: 10.1530/ec-20-0471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 11/02/2020] [Indexed: 11/25/2022]
Abstract
The T allele of TCF7L2 rs7903146 is a common genetic variant associated with type 2 diabetes (T2D), possibly by modulation of incretin action. In this study, we evaluated the effect of the TCF7L2 rs7903146 T allele on the incretin effect and other glucometabolic parameters in normal glucose tolerant individuals (NGT) and participants with T2D. The rs7903146 variant was genotyped in cohorts of 61 NGT individuals (23 were heterozygous (CT) or homozygous (TT) T allele carriers) and 43 participants with T2D (20 with CT/TT). Participants were previously examined by an oral glucose tolerance test (OGTT) and a subsequent isoglycemic intravenous glucose infusion (IIGI). The incretin effect was assessed by quantification of the difference in integrated beta cell secretory responses during the OGTT and IIGI. Glucose and hormonal levels were measured during experimental days, and from these, indices of beta cell function and insulin sensitivity were calculated. No genotype-specific differences in the incretin effect were observed in the NGT group (P = 0.70) or the T2D group (P = 0.68). NGT T allele carriers displayed diminished glucose-dependent insulinotropic polypeptide response during OGTT (P = 0.01) while T allele carriers with T2D were characterized by lower C-peptide AUC after OGTT (P = 0.04) and elevated glucose AUC after OGTT (P = 0.04). In conclusion, our findings do not exclude that this specific TCF7L2 variant increases the risk of developing T2D via diminished incretin effect, but genotype-related defects were not detectable in these cohorts.
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Affiliation(s)
- David S Mathiesen
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Jonatan I Bagger
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Department of Medicine, Gentofte and Herlev Hospital, University of Copenhagen, Denmark
| | - Katrine B Hansen
- Department of Medicine, Gentofte and Herlev Hospital, University of Copenhagen, Denmark
| | | | - Astrid Plamboeck
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Signe Harring
- Department of Gastroenterology, Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark
| | - Thomas Idorn
- Center for Cancer and Organ Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Mads Hornum
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Cancer and Organ Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Gentofte and Herlev Hospital, University of Copenhagen, Denmark
| | | | | | | | - Tina Vilsbøll
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Novartis Healthcare A/S, Copenhagen, Denmark
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Asger Lund
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Correspondence should be addressed to A Lund or F K Knop: or
| | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Novartis Healthcare A/S, Copenhagen, Denmark
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Gentofte and Herlev Hospital, University of Copenhagen, Denmark
- Correspondence should be addressed to A Lund or F K Knop: or
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Adamska-Patruno E, Samczuk P, Ciborowski M, Godzien J, Pietrowska K, Bauer W, Gorska M, Barbas C, Kretowski A. Metabolomics Reveal Altered Postprandial Lipid Metabolism After a High-Carbohydrate Meal in Men at High Genetic Risk of Diabetes. J Nutr 2019; 149:915-922. [PMID: 31049566 DOI: 10.1093/jn/nxz024] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 12/17/2018] [Accepted: 01/30/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The transcription factor 7-like 2 (TCF7L2) gene confers one of the strongest genetic predispositions to type 2 diabetes, but diabetes development can be modified by diet. OBJECTIVE The aim of our study was to evaluate postprandial metabolic alterations in healthy men with a high genetic risk of diabetes, after two meals with varying macronutrient content. METHODS The study was conducted in 21 homozygous nondiabetic men carrying the high-risk (HR, n = 8, age: 31.2 ± 6.3 y, body mass index (BMI, kg/m2) 28.5 ± 8.1) or low-risk (LR, n = 13, age: 35.2 ± 10.3 y, BMI: 28.1 ± 6.4) genotypes at the rs7901695 locus. During two meal challenge test visits subjects received standardized isocaloric (450 kcal) liquid meals: high-carbohydrate (HC, carbohydrates: 89% of energy) and normo-carbohydrate (NC, carbohydrates: 45% of energy). Fasting (0 min) and postprandial (30, 60, 120, 180 min) plasma samples were analyzed for metabolite profiles through untargeted metabolomics. Metabolic fingerprinting was performed on an ultra-high-performance liquid chromatography (UHPLC) system connected to an iFunnel quadrupole-time-of-flight (Q-TOF) mass spectrometer. RESULTS In HR-genotype men, after the intake of an HC-meal, we noted a significantly lower area under the curves (AUCs) of postprandial plasma concentrations of most of the phospholipids (-37% to -53%, variable importance in the projection (VIP) = 1.2-1.5), lysophospholipids (-29% to -86%, VIP = 1.1-2.6), sphingolipids (-32% to -47%, VIP = 1.1-1.3), as well as arachidonic (-36%, VIP = 1.4) and oleic (-63%, VIP = 1.3) acids, their metabolites: keto- and hydoxy-fatty acids (-38% to -78%, VIP = 1.3-2.5), leukotrienes (-65% to -83%, VIP = 1.4-2.2), uric acid (-59%, VIP = 1.5), and pyroglutamic acid (-65%, VIP = 1.8). The AUCs of postprandial sphingosine concentrations were higher (125-832%, VIP = 1.9-3.2) after the NC-meal, AUCs of acylcarnitines were lower (-21% to -61%, VIP = 1.1-2.4), and AUCs of fatty acid amides were higher (51-508%, VIP = 1.7-3.1) after the intake of both meals. CONCLUSIONS In nondiabetic men carrying the TCF7L2 HR genotype, subtle but detectable modifications in intermediate lipid metabolism are induced by an HC-meal. This trial was registered at www.clinicaltrials.gov as NCT03792685.
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Affiliation(s)
| | - Paulina Samczuk
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Michal Ciborowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Joanna Godzien
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland.,Center for Metabolomics and Bioanalysis (CEMBIO), Universidad CEU San Pablo, Madrid, Spain
| | - Karolina Pietrowska
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Witold Bauer
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Maria Gorska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | - Coral Barbas
- Center for Metabolomics and Bioanalysis (CEMBIO), Universidad CEU San Pablo, Madrid, Spain
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland.,Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
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Adams JD, Vella A. What Can Diabetes-Associated Genetic Variation in TCF7L2 Teach Us About the Pathogenesis of Type 2 Diabetes? Metab Syndr Relat Disord 2018; 16:383-389. [PMID: 29993315 DOI: 10.1089/met.2018.0024] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a polygenic metabolic disorder characterized by hyperglycemia occurring as a result of impaired insulin secretion and/or insulin resistance. Among the various genetic factors associated with T2DM, a common genetic variant within the transcription factor 7-like 2 locus (TCF7L2) confers the greatest genetic risk for development of the disease. However, the mechanism(s) by which TCF7L2 predisposes to diabetes remain uncertain. Here we review the current literature pertaining to the potential mechanisms by which TCF7L2 confers risk of T2DM, using genetic variation as a probe to understand the pathogenesis of the disease.
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Affiliation(s)
- J D Adams
- Endocrine Research Unit, Department of Endocrinology, Diabetes and Nutrition, Mayo Clinic College of Medicine , Rochester, Minnesota
| | - Adrian Vella
- Endocrine Research Unit, Department of Endocrinology, Diabetes and Nutrition, Mayo Clinic College of Medicine , Rochester, Minnesota
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8
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Varghese RT, Man CD, Laurenti MC, Piccinini F, Sharma A, Shah M, Bailey KR, Rizza RA, Cobelli C, Vella A. Performance of individually measured vs population-based C-peptide kinetics to assess β-cell function in the presence and absence of acute insulin resistance. Diabetes Obes Metab 2018; 20:549-555. [PMID: 28862812 PMCID: PMC5946313 DOI: 10.1111/dom.13106] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 08/22/2017] [Accepted: 08/29/2017] [Indexed: 01/07/2023]
Abstract
AIMS To compare the performance of population-based kinetics with that of directly measured C-peptide kinetics when used to calculate β-cell responsivity indices, and to study people with and without acute insulin resistance to ensure that population-based kinetics apply to all conditions where β-cell function is measured. METHODS Somatostatin was used to inhibit endogenous insulin secretion in 56 people without diabetes. Subsequently, a C-peptide bolus was administered and the changing concentrations were used to calculate individual kinetic measures of C-peptide clearance. In addition, the participants were studied on 2 occasions in random order using an oral glucose tolerance test (OGTT). On one occasion, free fatty acid elevation, to cause insulin resistance, was achieved by infusion of Intralipid + heparin. The Disposition Index (DI) was then estimated by the oral minimal model using either population-based or individual C-peptide kinetics. RESULTS There were marked differences in the exchange variables (k 12 and k 21 ) of the model describing C-peptide kinetics, but smaller differences in the fractional clearance; that is, the irreversible loss from the accessible compartment (k 01 ), obtained from population-based estimates compared with experimental measurement. Because it is predominantly influenced by k 01 , DI estimated using individual kinetics correlated well with DI estimated using population-based kinetics. CONCLUSIONS These data support the use of population-based measures of C-peptide kinetics to estimate β-cell function during an OGTT.
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Affiliation(s)
- Ron T. Varghese
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic, 200 1 St SW, 5-194 Joseph, Rochester, Minnesota USA
| | - Chiara Dalla Man
- Department of Information Engineering, Universita’ di Padova, Via Gradenigo 6B, Padova, Italy
| | - Marcello C. Laurenti
- Department of Information Engineering, Universita’ di Padova, Via Gradenigo 6B, Padova, Italy
| | - Francesca Piccinini
- Department of Information Engineering, Universita’ di Padova, Via Gradenigo 6B, Padova, Italy
| | - Anu Sharma
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic, 200 1 St SW, 5-194 Joseph, Rochester, Minnesota USA
| | - Meera Shah
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic, 200 1 St SW, 5-194 Joseph, Rochester, Minnesota USA
| | - Kent R. Bailey
- Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 1 St SW, Rochester, Minnesota USA
| | - Robert A. Rizza
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic, 200 1 St SW, 5-194 Joseph, Rochester, Minnesota USA
| | - Claudio Cobelli
- Department of Information Engineering, Universita’ di Padova, Via Gradenigo 6B, Padova, Italy
| | - Adrian Vella
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic, 200 1 St SW, 5-194 Joseph, Rochester, Minnesota USA
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Abstract
Type 2 diabetes mellitus is a polygenic disease with a variable phenotype. Many genetic associations have been described; however, understanding their underlying pathophysiological role in Type 2 diabetes mellitus is important for development of future therapeutic targets. Here, we review the physiological mechanisms of diabetes-associated variants that affect glycemia.
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Affiliation(s)
- Anu Sharma
- Department of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, Minnesota
| | - Adrian Vella
- Department of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, Minnesota
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10
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Gong R, Chen M, Zhang C, Chen M, Li H. A comparison of gene expression profiles in patients with coronary artery disease, type 2 diabetes, and their coexisting conditions. Diagn Pathol 2017; 12:44. [PMID: 28595632 PMCID: PMC5465468 DOI: 10.1186/s13000-017-0630-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 05/01/2017] [Indexed: 02/07/2023] Open
Abstract
Background To support a hypothesis that there is an intrinsic interplay between coronary artery disease (CAD) and type 2 diabetes (T2D), we used RNA-seq to identify unique gene expression signatures of CAD, T2D, and coexisting conditions. Methods After transcriptome sequencing, differential expression analysis was performed between each disordered state and normal control group. By comparing gene expression profiles of CAD, T2D, and coexisting conditions, common and specific patterns of each disordered state were displayed. To verify the specific gene expression patterns of CAD or T2D, the gene expression data of GSE23561 was extracted. Results A strong overlap of 191 genes across CAD, T2D and coexisting conditions, were mainly involved in a viral infectious cycle, anti-apoptosis, endocrine pancreas development, innate immune response, and blood coagulation. In T2D-specific PPI networks involving 64 genes, TCF7L2 (Degree = 169) was identified as a key gene in T2D development, while in CAD-specific PPI networks involving 64 genes, HIF1A (Degree = 124), SMAD1 (Degree = 112) and SKIL (Degree = 94) were identified as key genes in the CAD development. Interestingly, with the provided expression data from GSE23561, the three genes were all up-regulated in CAD, and SMAD1 and SKIL were specifically differentially expressed in CAD, while HIF1A was differentially expressed in both CAD and T2D, but with opposite trends. Conclusions This study provides some evidences in transcript level to uncover the association of T2D, CAD and coexisting conditions, and may provide novel drug targets and biomarkers for these diseases. Electronic supplementary material The online version of this article (doi:10.1186/s13000-017-0630-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rui Gong
- Department of gerontology, The Third Municipal Hospital of Shijiazhuang City, Shijiazhuang, Hebei province, 050011, China
| | - Menghui Chen
- Department of cardiothoracic surgery, The Third Municipal Hospital of Shijiazhuang City, Shijiazhuang, Hebei province, 050011, China
| | - Cuizhao Zhang
- Medical laboratory technology, The Third Municipal Hospital of Shijiazhuang City, Shijiazhuang, Hebei province, 050011, China
| | - Manli Chen
- Department of gerontology, The Third Municipal Hospital of Shijiazhuang City, Shijiazhuang, Hebei province, 050011, China
| | - Haibin Li
- Department of Cardiology, The Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei province, 050051, China.
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Kristensen PL, Pedersen-Bjergaard U, Due-Andersen R, Høi-Hansen T, Grimmeshave L, Lyssenko V, Groop L, Holst JJ, Vaag AA, Thorsteinsson B. Impact of the TCF7L2 genotype on risk of hypoglycaemia and glucagon secretion during hypoglycaemia. Endocr Connect 2016; 5:53-60. [PMID: 27758844 PMCID: PMC5097143 DOI: 10.1530/ec-16-0050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 10/10/2016] [Indexed: 11/25/2022]
Abstract
INTRODUCTION In healthy carriers of the T allele of the transcription factor 7-like 2 (TCF7L2), fasting plasma glucagon concentrations are lower compared with those with the C allele. We hypothesised that presence of the T allele is associated with a diminished glucagon response during hypoglycaemia and a higher frequency of severe hypoglycaemia (SH) in type 1 diabetes (T1DM). MATERIAL AND METHODS This is a post hoc study of an earlier prospective observational study of SH and four mechanistic studies of physiological responses to hypoglycaemia. 269 patients with T1DM were followed in a one-year observational study. A log-linear negative binomial model was applied with events of SH as dependent variable and TCF7L2 alleles as explanatory variable. In four experimental studies including 65 people, TCF7L2 genotyping was done and plasma glucagon concentration during experimental hypoglycaemia was determined. RESULTS Incidences of SH were TT 0.54, TC 0.98 and CC 1.01 episodes per patient-year with no significant difference between groups. During experimental hypoglycaemia, the TCF7L2 polymorphism did not influence glucagon secretion. DISCUSSION Patients with T1DM carrying the T allele of the TCF7L2 polymorphism do not exhibit diminished glucagon response during hypoglycaemia and are not at increased risk of severe hypoglycaemia compared with carriers of the C allele.
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Affiliation(s)
- Peter L Kristensen
- Department of CardiologyNephrology and Endocrinology, Nordsjællands Hospital, Hillerød, Denmark
| | - Ulrik Pedersen-Bjergaard
- Department of CardiologyNephrology and Endocrinology, Nordsjællands Hospital, Hillerød, Denmark
- Faculty of Health and Medical SciencesUniversity of Copenhagen, Copenhagen, Denmark
| | - Rikke Due-Andersen
- Department of CardiologyNephrology and Endocrinology, Nordsjællands Hospital, Hillerød, Denmark
- Lægerne på EllemarksvejKøge, Denmark
| | - Thomas Høi-Hansen
- Department of CardiologyNephrology and Endocrinology, Nordsjællands Hospital, Hillerød, Denmark
- Department of CardiologyHerlev-Gentofte University Hospital, Herlev, Denmark
| | - Lise Grimmeshave
- Department of CardiologyNephrology and Endocrinology, Nordsjællands Hospital, Hillerød, Denmark
- Novo Nordisk A/SSøborg, Denmark
| | - Valeriya Lyssenko
- Steno Diabetes CenterGentofte, Denmark
- Lund University Diabetes CentreSkåne University Hospital, Malmø, Sweden
| | - Leif Groop
- Lund University Diabetes CentreSkåne University Hospital, Malmø, Sweden
- Finnish Institute for Molecular Medicine (FIMM)Helsinki University, Helsinki, Finland
| | - Jens J Holst
- Faculty of Health and Medical SciencesUniversity of Copenhagen, Copenhagen, Denmark
- Department of Biomedical SciencesNNF Center for Basic Metabolic Research, The Panum Institute, Copenhagen, Denmark
| | - Allan A Vaag
- Faculty of Health and Medical SciencesUniversity of Copenhagen, Copenhagen, Denmark
- Department of EndocrinologyCopenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark
| | - Birger Thorsteinsson
- Department of CardiologyNephrology and Endocrinology, Nordsjællands Hospital, Hillerød, Denmark
- Faculty of Health and Medical SciencesUniversity of Copenhagen, Copenhagen, Denmark
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12
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Abstract
This article describes phenotypes observed in a prediabetic population (i.e. a population with increased risk for type 2 diabetes) from data collected at the University hospital of Tübingen. We discuss the impact of genetic variation on insulin secretion, in particular the effect on compensatory hypersecretion, and the incretin-resistant phenotype of carriers of the gene variant TCF7L2 is described. Imaging studies used to characterise subphenotypes of fat distribution, metabolically healthy obesity and metabolically unhealthy obesity are described. Also discussed are ectopic fat stores in liver and pancreas that determine the phenotype of metabolically healthy and unhealthy fatty liver and the recently recognised phenotype of fatty pancreas. The metabolic impact of perivascular adipose tissue and pancreatic fat is discussed. The role of hepatokines, particularly that of fetuin-A, in the crosstalk between these organs is described. Finally, the role of brain insulin resistance in the development of the different prediabetes phenotypes is discussed.
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Affiliation(s)
- Hans-Ulrich Häring
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.
- Institute of Diabetes Research and Metabolic Diseases (IDM), University of Tübingen, Tübingen, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
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13
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Kang X, Hou A, Wang R, Liu D, Xiang W, Xie Q, Zhang B, Gan L, Zheng W, Miao H. Macrophage TCF-4 co-activates p65 to potentiate chronic inflammation and insulin resistance in mice. Clin Sci (Lond) 2016; 130:1257-68. [PMID: 27129186 DOI: 10.1042/cs20160192] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 04/26/2016] [Indexed: 12/29/2022]
Abstract
Transcription factor 4 (TCF-4) was recently identified as a candidate gene for the cause of type 2 diabetes, although the mechanisms have not been fully elucidated. In the present study, we demonstrated that the TCF-4 transgene in macrophages aggravated high-fat diet (HFD)-induced insulin resistance and chronic inflammation, characterized by the elevation of proinflammatory cytokines in the blood, liver and white adipose tissue, as well as a proinflammatory profile of immune cells in visceral fats in mice. Mechanistically, TCF-4 functioned as a co-activator of p65 to amplify the saturated free fatty acid (FFA)-stimulated promoter activity, mRNA transcription and secretion of proinflammatory cytokines in primary macrophages. Blockage of p65 with a specific interfering RNA or inhibitor could prevent TCF-4-enhanced expression of proinflammatory cytokines in FFA/lipopolysaccharide-treated primary macrophages. The p65 inhibitor could abolish macrophage TCF-4 transgene-aggravated systemic inflammation, glucose intolerance and insulin resistance in HFD-treated mice. In addition, we demonstrated that the mRNA expression of TCF-4 in the peripheral blood monocytes from humans was positively correlated to the levels of interleukin (IL)-1β, tumour necrosis factor α, IL-6 and fasting plasma glucose. In summary, we identified TCF-4 as a co-activator of p65 in the potentiation of proinflammatory cytokine production in macrophages and aggravation of HFD-induced chronic inflammation and insulin resistance in mice.
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14
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Varghese RT, Viegas I, Barosa C, Marques C, Shah M, Rizza RA, Jones JG, Vella A. Diabetes-Associated Variation in TCF7L2 Is Not Associated With Hepatic or Extrahepatic Insulin Resistance. Diabetes 2016; 65:887-92. [PMID: 26822092 PMCID: PMC4806663 DOI: 10.2337/db15-1593] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 01/18/2016] [Indexed: 12/23/2022]
Abstract
A common genetic variation in TCF7L2 is associated with type 2 diabetes. However, the mechanism by which this occurs remains elusive. In addition to affecting insulin secretion, genetic variation at the TCF7L2 locus may alter insulin action or directly modify hepatic glucose metabolism. We sought to determine whether the diabetes-associated variant in this locus (the T allele of rs7903146) increases fasting endogenous glucose production (EGP), and impairs insulin-induced suppression of EGP and insulin-stimulated glucose disappearance. To address this, we studied individuals who were either homozygous for the diabetes-associated allele (TT) at rs7903146 or were homozygous for the protective allele (CC). Subjects were matched for other anthropometric characteristics and were studied using a euglycemic clamp. EGP and glucose uptake were measured using the tracer dilution technique, and the relative contribution of gluconeogenesis to EGP was quantitated using deuterated water corrected for transaldolase exchange. We report that the diabetes-associated variation in TCF7L2 did not associate with fasting EGP, insulin-induced suppression of EGP, and insulin-induced stimulation of glucose uptake. There was no association with the contribution of gluconeogenesis and glycogenolysis to EGP. These data indicate that genetic variation at TCF7L2 does not predispose an individual to type 2 diabetes by altering either hepatic or extrahepatic insulin action.
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Affiliation(s)
- Ron T Varghese
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN
| | - Ivan Viegas
- Center for Neurosciences and Cell Biology, Department of Zoology, University of Coimbra, Coimbra, Portugal
| | - Cristina Barosa
- Center for Neurosciences and Cell Biology, Department of Zoology, University of Coimbra, Coimbra, Portugal
| | - Catia Marques
- Center for Neurosciences and Cell Biology, Department of Zoology, University of Coimbra, Coimbra, Portugal
| | - Meera Shah
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN
| | - Robert A Rizza
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN
| | - John G Jones
- Center for Neurosciences and Cell Biology, Department of Zoology, University of Coimbra, Coimbra, Portugal
| | - Adrian Vella
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN
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