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Bage IJ, Kamalanathan S, Selvarajan S, Sahoo J, Mathaiyan J, Naik D. Peroxisome Proliferator-Activated Receptor α and γ Gene Polymorphisms among South Indian Patients with Diabetic Dyslipidaemia. Indian J Endocrinol Metab 2023; 27:118-126. [PMID: 37292073 PMCID: PMC10245317 DOI: 10.4103/ijem.ijem_451_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/02/2023] [Accepted: 02/15/2023] [Indexed: 06/10/2023] Open
Abstract
Background Peroxisome proliferator-activated receptors (PPAR) α and γ genes play an important role in dyslipidaemia of T2DM. Aims To estimate the frequency distribution of PPAR α and γ gene polymorphisms in South Indian T2DM patients with dyslipidaemia compared to healthy controls. Normative frequencies of SNPs were established and compared with data for 1000 genome populations. Methods Eligible 382 cases and 336 age and sex-matched controls were enrolled. Six SNPs in PPARα [rs1800206 C>G (Leu162Val), rs4253778 G>C, rs135542 T>C] and PPARγ [rs3856806 (C>T), rs10865710 (C>G), rs1805192 C>G (Pro12Ala)] genes were selected for genotyping. Results The allele and gene frequencies did not significantly differ between the diabetic dyslipidaemia cases and healthy controls. However, they were significantly different from that of 1000 genome populations except for rs1800206 C>G (Leu162Val) and rs1805192 C>G (Pro12Ala). Conclusion The studied polymorphisms in PPARα and PPARγ genes are not associated with diabetic dyslipidaemia among South Indian patients.
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Affiliation(s)
- Isaac J. Bage
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sadishkumar Kamalanathan
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sandhiya Selvarajan
- Department of Clinical Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Jayaprakash Sahoo
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Jayanthi Mathaiyan
- Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Dukhabandhu Naik
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
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Jan A, Ali S, Muhammad B, Arshad A, Shah Y, Bahadur H, Khan H, Khuda F, Akbar R, Ijaz K. Decoding type 2 diabetes mellitus genetic risk variants in Pakistani Pashtun ethnic population using the nascent whole exome sequencing and MassARRAY genotyping: A case-control association study. PLoS One 2023; 18:e0281070. [PMID: 36730981 PMCID: PMC9882913 DOI: 10.1371/journal.pone.0281070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 01/14/2023] [Indexed: 02/04/2023] Open
Abstract
Genome-wide association studies have greatly increased the number of T2DM associated risk variants but most of them have focused on populations of European origin. There is scarcity of such studies in developing countries including Pakistan. High prevalence of T2DM in Pakistani population prompted us to design this study. We have devised a two stage (the discovery stage and validation stage) case-control study in Pashtun ethnic population in which 500 T2DM cases and controls each have been recruited to investigate T2DM genetic risk variants. In discovery stage Whole Exome Sequencing (WES) was used to identify and suggest T2DM pathogenic SNPs, based on SIFT and Polyphen scores; whereas in validation stage the selected variants were confirmed for T2DM association using MassARRAY genotyping and appropriate statistical tests. Results of the study showed the target positive association of rs1801282/PPARG (OR = 1.24, 95%Cl = 1.20-1.46, P = 0.010), rs745975/HNF4A (OR = 1.30, 95%Cl = 1.06-1.38, P = 0.004), rs806052/GLIS3 (OR = 1.32, 95%Cl = 1.07-1.66, P = 0.016), rs8192552/MTNR1B (OR = 1.53, 95%Cl = 0.56-1.95, P = 0.012) and rs1805097/IRS-2 (OR = 1.27, 95%Cl = 1.36-1.92, P = 0.045), with T2DM; whereas rs6415788/GLIS3, rs61788900/NOTCH2, rs61788901/NOTCH2 and rs11810554/NOTCH2 (P>0.05) showed no significant association. Identification of genetic risk factors/variants can be used in defining high risk subjects assessment, and disease prevention.
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Affiliation(s)
- Asif Jan
- Department of Pharmacy, University of Peshawar, Peshawar, Pakistan
- * E-mail: (ZU); (AJ)
| | - Sajid Ali
- Department of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan
| | - Basir Muhammad
- Atomic Energy Cancer Hospital, Swat Institute of Nuclear Medicine, Oncology & Radiotherapy, Swat, Pakistan
| | - Amina Arshad
- Rashid Latif College of Pharmacy, Lahore, Pakistan
| | - Yasar Shah
- Department of Pharmacy, Abdul Wali Khan University, Mardan, Pakistan
| | - Haji Bahadur
- Institute of Pharmaceutical Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Hamayun Khan
- Department of Pharmacy, University of Peshawar, Peshawar, Pakistan
| | - Fazli Khuda
- Department of Pharmacy, University of Peshawar, Peshawar, Pakistan
| | - Rani Akbar
- Department of Pharmacy, Abdul Wali Khan University, Mardan, Pakistan
| | - Kiran Ijaz
- Institute of Pharmaceutical Sciences, Khyber Medical University, Peshawar, Pakistan
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Aisyah R, Sadewa AH, Patria SY, Wahab A. The PPARGC1A Is the Gene Responsible for Thrifty Metabolism Related Metabolic Diseases: A Scoping Review. Genes (Basel) 2022; 13:1894. [PMID: 36292779 PMCID: PMC9601628 DOI: 10.3390/genes13101894] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/13/2022] [Accepted: 10/15/2022] [Indexed: 07/29/2023] Open
Abstract
The "thrifty genotype" hypothesis has thus far described the relationship between specific genes and the population's resilience to food scarcity circumstances, but its link to the widespread prevalence of genetic diseases and metabolic syndrome has not been adequately mapped. The purpose of the study was to discover genes responsible for thrifty metabolism. A systematic search with keywords was performed for relevant titles. This study used the article's database published by Pubmed, Proquest, and EBSCO from January, 2009 to September, 2022. Out of 418 papers screened for eligibility, the final evaluation determined that five studies should be included in the analysis. Results indicated that PPARGC1A Gly482Ser led to high BMI in the Tongans population but was unrelated to the onset of type 2 diabetes mellitus, but this was not the case in the Maori population. Significantly differing frequencies of PPAR C1431T and Pro12Ala gene polymorphisms were observed in the Iranian population. GWAS identification of additional genes in Asian and European populations did not produce consistent findings. As a summary, PPARGC1A Gly482Ser addresses as the gene responsible for thrifty metabolism in the Pacific population although some studies show inconsistent results.
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Affiliation(s)
- Riandini Aisyah
- Department of Molecular Biology, Faculty of Medicine, Universitas Muhammadiyah Surakarta, Surakarta 57169, Indonesia
- Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
| | - Ahmad Hamim Sadewa
- Department of Biochemistry, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
| | - Suryono Yudha Patria
- Division of Pediatric Endocrinology, Department of Pediatrics, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
| | - Abdul Wahab
- Department of Biostatistics, Epidemiology and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
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4
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Rehman K, Tahir A, Niaz S, Shabbir S, Jabeen K, Faheem A, Akash MSH. Frequency of PPAR-γ, FTO and ABCC8 genetic variation in Pakistani cardiovascular smokers. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:42611-42620. [PMID: 32712935 DOI: 10.1007/s11356-020-10226-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 07/20/2020] [Indexed: 06/11/2023]
Abstract
Smoking is considered as one of the major reasons behind genetic variations in cardiometabolic disorders. However, effect of nicotine via smoking on Pakistani population still needs to be elucidated. This study was aimed to investigate genetic variation among PPAR-γ, FTO, and ABCC8 genes in cardiometabolic patients along with their biochemical parameters. A total of 472 CVD patients were enrolled in this study and divided into three groups; n = 144 for PPAR-γ (C/G) variation and n = 164 in each group to investigate FTO (T/A) and ABCC8 (G/T) variation, respectively. Polymorphisms within groups were identified by using Tetra and/or Tri ARM-PCR. This study showed positive association among genetic polymorphisms in PPAR-γ, FTO, and ABCC8 groups with altered metabolic parameters in CVD patients. Findings showed that smoking is major contributory factor for genetic polymorphism that was strongly associated with elevated blood glucose and serum TGs accompanying PPAR-γ, FTO, and ABCC8 genetic polymorphism in 25%, 24%, and 20% in smokers and 11%, 10%, and 5% in non-smoker CVD patients, respectively. However, highest polymorphism occurred in PPAR-γ both in smokers and non-smoker CVD patients that show that smoking-mediated gene polymorphism might be a contributory factor in provoking CVD risk approximately twice in smokers as compared to that in non-smoker CVD patients.
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Affiliation(s)
- Kanwal Rehman
- Department of Pharmacy, University of Agriculture, Faisalabad, Pakistan
- Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Ayesha Tahir
- Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Sania Niaz
- Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Sara Shabbir
- Department of Pharmacy, University of Agriculture, Faisalabad, Pakistan
| | - Komal Jabeen
- Department of Pharmacy, University of Agriculture, Faisalabad, Pakistan
- Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Amna Faheem
- Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
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Sarhangi N, Sharifi F, Hashemian L, Hassani Doabsari M, Heshmatzad K, Rahbaran M, Jamaldini SH, Aghaei Meybodi HR, Hasanzad M. PPARG (Pro12Ala) genetic variant and risk of T2DM: a systematic review and meta-analysis. Sci Rep 2020; 10:12764. [PMID: 32728045 PMCID: PMC7391673 DOI: 10.1038/s41598-020-69363-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 07/06/2020] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a complex disease caused by the interaction between genetic and environmental factors. A growing number of evidence suggests that the peroxisome proliferator-activated receptor gamma (PPARG) gene plays a major role in T2DM development. Meta-analysis of genetic association studies is an efficient tool to gain a better understanding of multifactorial diseases and potentially to provide valuable insights into gene-disease interactions. The present study was focused on assessing the association between Pro12Ala variation in the PPARG and T2DM risk through a comprehensive meta-analysis. We searched PubMed, WoS, Embase, Scopus and ProQuest from 1990 to 2017. The fixed-effect or random-effect model was used to evaluate the pooled odds ratios (ORs) and 95% confidence intervals (CIs) depending on the heterogeneity among studies. The sources of heterogeneity and publication bias among the included studies were assessed using I2 statistics and Egger's tests. A total of 73 studies, involving 62,250 cases and 69,613 controls were included. The results showed that the minor allele (G) of the rs1801282 variant was associated with the decreased risk of T2DM under different genetic models. Moreover, the protective effect of minor allele was detected to be significantly more in some ethnicities including the European (18%), East Asian (20%), and South East Asian (18%). And the reduction of T2DM risk in Ala12 carriers was stronger in individuals from North Europe rather than Central and South Europe. Our findings indicated that the rs1801282 variant may contribute to decrease of T2DM susceptibility in different ancestries.
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Affiliation(s)
- Negar Sarhangi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Leila Hashemian
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Maryam Hassani Doabsari
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Katayoun Heshmatzad
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Marzieh Rahbaran
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Seyed Hamid Jamaldini
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Mandana Hasanzad
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran. .,Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran.
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6
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Rehman K, Jabeen K, Awan FR, Hussain M, Saddique MA, Akash MSH. Biochemical investigation of rs1801282 variations in PPAR-γ gene and its correlation with risk factors of diabetes mellitus in coronary artery disease. Clin Exp Pharmacol Physiol 2020; 47:1517-1529. [PMID: 32416637 DOI: 10.1111/1440-1681.13339] [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: 02/08/2020] [Revised: 04/19/2020] [Accepted: 05/10/2020] [Indexed: 12/17/2022]
Abstract
We aimed to investigate the association of single nucleotide polymorphism of Pro/Ala (rs1801282) in peroxisome proliferator-activated receptor-gamma (PPAR-γ) gene with risk factors of diabetes mellitus (DM) in cardiovascular disease (CVD) patients. We recruited 244 participants from Faisalabad Institute of Cardiology and Department of Cardiology, Sargodha District Head Quarter Teaching Hospital, Pakistan. Out of 244 participants, 144 cases were CVD patients and 100 were healthy controls. CVD patients were further divided into 111 coronary artery disease (CAD) and 33 cardiomyopathy (CMP) patients. Assessment of variant specific polymorphism/mutation of Pro/Pro and Pro/Ala genotypes was done through amplification refractory mutation system polymerase chain reaction (ARMS-PCR). Further, serum biomarkers were measured to investigate the association among risk factors of DM and Pro/Ala polymorphism in PPAR-γ gene. About 31.5% Pro/Ala genotype was found in CVD patients out of which 22.5% were CAD patients and 9% were CMP patients. As a result, obesity, hypertension and smoking (35%, 23%, 21%, respectively) were observed to be the most critical risk factors accompanying Pro/Ala mutation in PPAR-γ particularly in CAD patients as compared to that in CMP patients. A similar pattern of association was observed among the elevated levels of glucose, cholesterol, triglyceride and ALT with Pro/Ala mutation in CAD patients. Further, CAD patients using ACE inhibitors (18%) and β-blockers (13%) were found to be the carriers of Pro/Ala genotype and also showed significant increase in glucose level. This study suggests that hyperglycaemia in CAD patients particularly obese, smokers and hypertensives having Pro/Ala polymorphism in PPAR-γ gene are at high risk of developing DM as clearly observed by hyperglycaemia in CAD patients.
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Affiliation(s)
- Kanwal Rehman
- Department of Pharmacy, University of Agriculture, Faisalabad, Pakistan.,Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Komal Jabeen
- Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Fazli Rabbi Awan
- Laboratory of Human Molecular Genetics and Metabolic Disorders, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Misbah Hussain
- Laboratory of Human Molecular Genetics and Metabolic Disorders, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
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7
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Association of PPAR Alpha Intron 7 G/C, PPAR Gamma 2 Pro12Ala, and C161T Polymorphisms with Serum Fetuin-A Concentrations. PPAR Res 2017; 2017:7636019. [PMID: 28781590 PMCID: PMC5525087 DOI: 10.1155/2017/7636019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 05/24/2017] [Accepted: 06/06/2017] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Both peroxisome activator proteins (PPARs) and fetuin-A play a role in lipid and glucose metabolism. AIMS We investigated whether PPARα intron 7 G2468/C and PPARγ2 Pro12Ala and PPARγ exon 6 C161T polymorphisms are associated with serum fetuin-A concentrations. PATIENTS AND METHODS The PPARα intron 7 G/C polymorphism was studied in cohort 1 (79 reference individuals, 165 postinfarction patients). The two PPARγ polymorphisms were investigated in cohort 2 (162 reference individuals, 165 postinfarction patients). Fetuin-A levels and PPAR polymorphisms were determined by radial immunodiffusion and polymerase chain reaction-restriction fragment length polymorphism techniques. RESULTS The C allele variant of PPARα intron 7 G2467C was associated with higher fetuin-A levels (p = 0.018). Postinfarction status (p = 0.001), PPARα intron 7 GG/GC/CC genotypes (p = 0.032), and the C allele (p = 0.021) were the strongest determinants of fetuin-A concentration in a multiple regression model. Higher fetuin-A levels were associated with the Pro variant of PPARγ2 (p = 0.047). Postinfarction status (p = 0.041) and BMI (p < 0.001) but not PPARγ2 Pro were the strongest determinants of fetuin-A concentrations. PPARγ exon 6 C161T genotypes were not associated with fetuin-A levels. CONCLUSIONS Fetuin-A was determined mainly by the PPARα intron 7C allele and postinfarction status in cohort 1 and the BMI and postinfarction in cohort 2. The PPARα intron 7C and PPARγ2 Pro variants are associated with fetuin-A levels.
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Lv X, Zhang L, Sun J, Cai Z, Gu Q, Zhang R, Shan A. Interaction between peroxisome proliferator-activated receptor gamma polymorphism and obesity on type 2 diabetes in a Chinese Han population. Diabetol Metab Syndr 2017; 9:7. [PMID: 28123453 PMCID: PMC5248486 DOI: 10.1186/s13098-017-0205-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Accepted: 01/13/2017] [Indexed: 01/06/2023] Open
Abstract
AIMS The aim of this study was to investigate the association of four single nucleotide polymorphisms (SNPs) of peroxisome proliferator-activated receptor gamma (PPARG) with type 2 diabetes mellitus (T2DM) risk and additional role of gene-obesity interaction. METHODS Four SNPs were selected for genotyping in the case-control study: rs1805192, rs709158, rs3856806 and rs4684847. Generalized multifactor dimensionality reduction (GMDR) model and logistic regression was used to examine the interaction between SNP and obesity on T2DM, odds ratio (OR) and 95% confident interval (95% CI) were calculated. RESULTS T2DM risk was significantly higher in individuals with rs1805192-G allele (p < 0.05). The carriers of G allele of the rs1805192 polymorphism revealed increased T2DM risk than those with CC variants (CG + GG versus CC, adjusted OR (95% CI) 1.76 (1.45-2.06), p < 0.001). T2DM risk was also significantly higher in individuals with rs3856806-T allele (p < 0.05). The carriers of T allele of the rs3856806 polymorphism revealed increased T2DM risk than those with CC variants (CT + TT versus CC, adjusted OR (95% CI) 1.25 (1.17-1.76), p < 0.001). There was a significant two-locus model (p = 0.0107) involving rs1805192 and obesity. Obese subjects with CG or GG genotype have the highest T2DM risk, compared to subjects with CC genotype and normal BMI (OR 2.40, 95% CI 1.68-3.63). CONCLUSIONS Our results support an important association between rs1805192 and rs3856806 minor allele (G allele) of PPARG and increased T2DM risk, the interaction analysis shown a combined effect of G- obesity interaction between rs1805192 and obesity on increased T2DM risk.
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Affiliation(s)
- Xiaohui Lv
- Shenzhen Futian District Traditional Chinese Medicine Hospital, No. 6001 in North Central Avenue, Futian District, Shenzhen, 518033 Guangdong China
| | - Li Zhang
- Shenzhen Futian District Traditional Chinese Medicine Hospital, No. 6001 in North Central Avenue, Futian District, Shenzhen, 518033 Guangdong China
| | - Jiayu Sun
- Shenzhen Futian District Traditional Chinese Medicine Hospital, No. 6001 in North Central Avenue, Futian District, Shenzhen, 518033 Guangdong China
| | - Zhigang Cai
- Shenzhen Futian District Traditional Chinese Medicine Hospital, No. 6001 in North Central Avenue, Futian District, Shenzhen, 518033 Guangdong China
| | - Qing Gu
- Shenzhen Futian District Traditional Chinese Medicine Hospital, No. 6001 in North Central Avenue, Futian District, Shenzhen, 518033 Guangdong China
| | - Ruipeng Zhang
- Key Lab for New Drugs Research of TCM, Research Institute of Tsinghua University in Shenzhen, Shenzhen, Guangdong China
| | - Aiyun Shan
- Shenzhen Futian District Traditional Chinese Medicine Hospital, No. 6001 in North Central Avenue, Futian District, Shenzhen, 518033 Guangdong China
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Yako YY, Guewo-Fokeng M, Balti EV, Bouatia-Naji N, Matsha TE, Sobngwi E, Erasmus RT, Echouffo-Tcheugui JB, Kengne AP. Genetic risk of type 2 diabetes in populations of the African continent: A systematic review and meta-analyses. Diabetes Res Clin Pract 2016; 114:136-50. [PMID: 26830076 DOI: 10.1016/j.diabres.2016.01.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 11/27/2015] [Accepted: 01/03/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Type 2 diabetes (T2D) is growing faster in Africa than anywhere else, driven by the dual effects of genetic and environmental factors. We conducted a systematic review and meta-analyses of published studies on genetic markers of T2D in populations within Africa. METHODS Multiple databases were searched for studies of genetic variants associated with T2D in populations living in Africa. Studies reporting on the association of a genetic marker with T2D or indicators of glycaemia were included. Data were extracted on study design and characteristics, genetic determinants, effect estimates of associations with T2D. FINDINGS Overall, 100 polymorphisms in 57 genes have been investigated in relation with T2D in populations within Africa, in 60 studies. Almost all studies used the candidate gene approach, with >88% published during 2006-2014 and 70% (42/60) originating from Tunisia and Egypt. Polymorphisms in ACE, AGRP, eNOS, GSTP1, HSP70-2, MC4R, MTHFR, PHLPP, POL1, TCF7L2, and TNF-α gene were found to be associated with T2D, with overlapping effect on various cardiometabolic traits. The polymorphisms investigated in multiple studies mostly had consistent effects across studies, with only modest or no statistical heterogeneity. Effect sizes were modestly significant [e.g., odd ratio 1.49 (95%CI 1.33-1.66) for TCF7L2 (rs7903146)]. Underpowered genome-wide studies revealed no diabetes risk loci specific to African populations. INTERPRETATION Current evidence on the genetic markers of T2D in African populations mostly originate from North African countries, is overall scanty and largely insufficient to reliably inform the genetic architecture of T2D across Africa.
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Affiliation(s)
- Yandiswa Y Yako
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaounde I, Yaounde, Cameroon
| | - Eric V Balti
- Diabetes Research Center, Faculty of Medicine and Pharmacy, Brussels Free University, Brussels, Belgium
| | - Nabila Bouatia-Naji
- INSERM UMR970 Paris Cardiovascular Research Center, 56 rue Leblanc F-75015 Paris, France; Paris Descartes University, PRES Paris Sorbonne, 12 rue de l'école de medecine F75006 Paris, France
| | - Tandi E Matsha
- Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Eugene Sobngwi
- Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS), University of Stellenbosch, Cape Town, South Africa
| | - Justin B Echouffo-Tcheugui
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Medicine, MedStar Health System, Baltimore, MD, USA
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa; The George Institute for Global Health, The University of Sydney, Sydney, NSW, Australia.
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10
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Li Q, Qiao Y, Wang C, Zhang G, Zhang X, Xu L. Associations between two single-nucleotide polymorphisms (rs1801278 and rs2943641) of insulin receptor substrate 1 gene and type 2 diabetes susceptibility: a meta-analysis. Endocrine 2016; 51:52-62. [PMID: 26582067 DOI: 10.1007/s12020-015-0770-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 10/05/2015] [Indexed: 01/11/2023]
Abstract
The objective of the study is to assess the association between rs1801278 and rs2943641 of insulin receptor substrate 1 gene (IRS1) and the susceptibility to type 2 diabetes. A literature search strategy was conducted to identify all references lists of relevant studies. The fixed or random effect model was used to calculate the pooled ORs on the basis of heterogeneity. Further analyses were performed to explore the sources of heterogeneity by sensitivity analysis, meta-regression analysis, and subgroup analysis. There was significant association between rs1801278 and type 2 diabetes risk in recessive model (AA vs. GA + GG, p = 0.043) and codominant model (AA vs. GG, p = 0.007). Subgroup analysis showed that the association between rs1801278 and type 2 diabetes risk was significant in dominant model (GA + AA vs. GG, p = 0.044), codominant model (GA vs. GG, p = 0.039), codominant model (AA vs. GG, p = 0.044), overdominant model (GG + AA vs. GA, p = 0.037) in Asian and codominant model (AA vs. GG, p = 0.039) in Caucasian of rs1801278. The association between rs2943641 and type 2 diabetes risk was significant in codominant model (CT vs. CC, p = 0.023) in Caucasian. This meta-analysis suggests that rs1801278 may play a role in type 2 diabetes risk, especially in Asian. It also indicates that rs2943641 may be associated with type 2 diabetes risk in Caucasian. Further larger studies should be performed to warrant confirmation.
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Affiliation(s)
- Qiuyan Li
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yuandong Qiao
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Chuntao Wang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Guangfa Zhang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Xuelong Zhang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Lidan Xu
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China.
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Yako YY, Madubedube JH, Kengne AP, Erasmus RT, Pillay TS, Matsha TE. Contribution of ENPP1, TCF7L2, and FTO polymorphisms to type 2 diabetes in mixed ancestry ethnic population of South Africa. Afr Health Sci 2015; 15:1149-60. [PMID: 26958016 DOI: 10.4314/ahs.v15i4.14] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Transcription factor 7-like 2 gene (TCF7L2), fat mass and obesity-associated gene (FTO), and ectonucleotide pyrophosphatase/phosphodiesterase gene (ENPP1) are known risk loci for type 2 diabetes (T2DM) mostly in European populations. OBJECTIVES To assess the association of these genes with T2DM risk in a South African mixed-ancestry population. METHODS Five hundred and sixty six participants were genotyped for ENPP1-rs997509 and -rs1044498, FTO-9941349 and -rs3751812, TCF7L2-rs12255372 and -rs7903146 polymorphisms using Taqman genotyping assays and validated by automated sequencing to assess the association of the polymorphisms with cardiometabolic traits. RESULTS In logistic regression models adjusted for age, sex, body mass index (BMI) and insulin resistance, minor allele of rs997509 was associated with a higher risk of prevalent T2DM under a recessive model [odd ratio 4.60 (95% confidence interval: 1.07 to 19.86); p = 0.040].Under additive model, the rs7903146 [1.43 (1.00 to 2.04); p= 0.053] and rs9941349 [1.43 (1.00 to 2.04); p = 0.052] minor alleles showed marginally significant associations with a high risk of T2DM. However, only the rs7903146 alleles (p=0.011) and genotypes (p=0.025) distributions were statistically significantly different between diabetic and non-diabetic individuals. CONCLUSION Our findings demonstrate that ENPP1, TCF7L2, and FTO may predispose to T2DM in the mixed-ancestry population.
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Affiliation(s)
- Yandiswa Y Yako
- Department of Surgery, Faculty of Health Sciences, University of Witwatersrand, South Africa
| | - Jabulisile H Madubedube
- Department of Biomedical Sciences Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
| | - Tahir S Pillay
- Institute for Cellular and Molecular Medicine, Molecular Endocrinology, University of Pretoria
| | - Tandi E Matsha
- Department of Biomedical Sciences Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
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12
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Tang W, Wang Y, Jiang H, Liu C, Dong C, Chen S, Kang M, Gu H. Insulin receptor substrate-1 (IRS-1) rs1801278G>A polymorphism is associated with polycystic ovary syndrome susceptibility: a meta-analysis. Int J Clin Exp Med 2015; 8:17451-17460. [PMID: 26770335 PMCID: PMC4694235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2015] [Accepted: 10/03/2015] [Indexed: 06/05/2023]
Abstract
The correlation between insulin receptor substrate-1 (IRS-1) rs1801278G>A polymorphism and polycystic ovary syndrome (PCOS) has been widely studied. However, the results of these studies are conflicting. The current study provides an assessment of the association between the genetic susceptibilities of IRS-1 rs1801278G>A polymorphism and PCOS. A comprehensive meta-analysis was carried out in over 4,555 subjects included in twenty publications which were published up to June 26, 2015. Our findings suggested that the IRS-1 rs1801278G>A genotype was correlated with the susceptibility of PCOS in the allele comparison, heterozygote comparison and the dominant genetic model. In the dominant genetic model, variant A allele carriers (AA+GA) of IRS-1 rs1801278G>A polymorphism increased the susceptibility of PCOS comparing to the homozygote GG [odds ratio (OR)=1.82, 95% confidence interval (CI) 1.30-2.53 for AA+GA vs. GG]. The analysis by different ethnicity groups highlighted that Caucasian population (OR=1.96, 95% CI 1.26-3.04 for AA+GA vs. GG) had significant increased PCOS susceptibility. Bias diagnosis indicated there are slight publication biases in some genetic models, suggesting that these findings should be interpreted with very caution. In summary, our findings suggested that IRS-1 rs1801278G>A polymorphism may be a risk factor for PCOS.
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Affiliation(s)
- Weifeng Tang
- Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu UniversityZhenjiang, Jiangsu Province, China
| | - Yafeng Wang
- Department of Cardiology, The People’s Hospital of Xishuangbanna Dai Autonomous PrefectureJinghong, Yunnan Province, China
| | - Heping Jiang
- Department of Emergency, Affiliated Jintan People’s Hospital of Jiangsu UniversityJintan, China
| | - Chao Liu
- Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu UniversityZhenjiang, Jiangsu Province, China
| | - Changqing Dong
- Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu UniversityZhenjiang, Jiangsu Province, China
| | - Shuchen Chen
- Department of Thoracic Surgery, Affiliated Union Hospital, Fujian Medical UniversityFuzhou, Fujian Province, China
| | - Mingqiang Kang
- Department of Thoracic Surgery, Affiliated Union Hospital, Fujian Medical UniversityFuzhou, Fujian Province, China
| | - Haiyong Gu
- Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu UniversityZhenjiang, Jiangsu Province, China
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Dong C, Zhou H, Shen C, Yu LG, Ding Y, Zhang YH, Guo ZR. Role of peroxisome proliferator-activated receptors gene polymorphisms in type 2 diabetes and metabolic syndrome. World J Diabetes 2015; 6:654-661. [PMID: 25987964 PMCID: PMC4434087 DOI: 10.4239/wjd.v6.i4.654] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 12/27/2014] [Accepted: 02/11/2015] [Indexed: 02/06/2023] Open
Abstract
Metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) are the serious public health problems worldwide. Moreover, it is estimated that MetS patients have about five-fold greater risk of the T2DM development compared with people without the syndrome. Peroxisome proliferator-activated receptors are a subgroup of the nuclear hormone receptor superfamily of ligand-activated transcription factors which play an important role in the pathogenesis of MetS and T2DM. All three members of the peroxisome proliferator-activated receptor (PPAR) nuclear receptor subfamily, PPARα, PPARβ/δ and PPARγ are critical in regulating insulin sensitivity, adipogenesis, lipid metabolism, and blood pressure. Recently, more and more studies indicated that the gene polymorphism of PPARs, such as Leu162Val and Val227Ala of PPARα, +294T > C of PPARβ/δ, Pro12Ala and C1431T of PPARγ, are significantly associated with the onset and progressing of MetS and T2DM in different population worldwide. Furthermore, a large body of evidence demonstrated that the glucose metabolism and lipid metabolism were influenced by gene-gene interaction among PPARs genes. However, given the complexity pathogenesis of metabolic disease, it is unlikely that genetic variation of a single locus would provide an adequate explanation of inter-individual differences which results in diverse clinical syndromes. Thus, gene-gene interactions and gene-environment interactions associated with T2DM and MetS need future comprehensive studies.
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Vergotine Z, Kengne AP, Erasmus RT, Yako YY, Matsha TE. Rare mutations of peroxisome proliferator-activated receptor gamma: frequencies and relationship with insulin resistance and diabetes risk in the mixed ancestry population from South Africa. Int J Endocrinol 2014; 2014:187985. [PMID: 25197274 PMCID: PMC4150434 DOI: 10.1155/2014/187985] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 07/16/2014] [Indexed: 11/17/2022] Open
Abstract
Background. Genetic variants in the nuclear transcription receptor, PPARG, are associated with cardiometabolic traits, but reports remain conflicting. We determined the frequency and the clinical relevance of PPARG SNPs in an African mixed ancestry population. Methods. In a cross-sectional study, 820 participants were genotyped for rs1800571, rs72551362, rs72551363, rs72551364, and rs3856806, using allele-specific TaqMan technology. The homeostatic model assessment of insulin (HOMA-IR), β-cells function (HOMA-B%), fasting insulin resistance index (FIRI), and the quantitative insulin-sensitivity check index (QUICKI) were calculated. Results. No sequence variants were found except for the rs3856806. The frequency of the PPARG-His447His variant was 23.8% in the overall population group, with no difference by diabetes status (P = 0.215). The His447His allele T was associated with none of the markers of insulin resistance overall and by diabetes status. In models adjusted for 2-hour insulin, the T allele was associated with lower prevalent diabetes risk (odds ratio 0.56 (95% CI 0.31-0.95)). Conclusion. Our study confirms the almost zero occurrences of known rare PPARG SNPs and has shown for the first time in an African population that one of the common SNPs, His447His, may be protective against type 2 diabetes.
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Affiliation(s)
- Z. Vergotine
- Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa
- Division of Chemical Pathology, Stellenbosch University, Cape Town 7505, South Africa
| | - A. P. Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council and University of Cape Town, Cape Town 7505, South Africa
| | - R. T. Erasmus
- Division of Chemical Pathology, Stellenbosch University, Cape Town 7505, South Africa
| | - Y. Y. Yako
- Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa
| | - T. E. Matsha
- Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa
- *T. E. Matsha:
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