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Raghubeer S, Matsha TE. Methylenetetrahydrofolate (MTHFR), the One-Carbon Cycle, and Cardiovascular Risks. Nutrients 2021; 13:nu13124562. [PMID: 34960114 PMCID: PMC8703276 DOI: 10.3390/nu13124562] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 12/07/2021] [Accepted: 12/15/2021] [Indexed: 02/06/2023] Open
Abstract
The 5-10-methylenetetrahydrofolate reductase (MTHFR) enzyme is vital for cellular homeostasis due to its key functions in the one-carbon cycle, which include methionine and folate metabolism and protein, DNA, and RNA synthesis. The enzyme is responsible for maintaining methionine and homocysteine (Hcy) balance to prevent cellular dysfunction. Polymorphisms in the MTHFR gene, especially C677T, have been associated with various diseases, including cardiovascular diseases (CVDs), cancer, inflammatory conditions, diabetes, and vascular disorders. The C677T MTHFR polymorphism is thought to be the most common cause of elevated Hcy levels, which is considered an independent risk factor for CVD. This polymorphism results in an amino acid change from alanine to valine, which prevents optimal functioning of the enzyme at temperatures above 37 °C. Many studies have been conducted to determine whether there is an association between the C677T polymorphism and increased risk for CVD. There is much evidence in favour of this association, while several studies have concluded that the polymorphism cannot be used to predict CVD development or progression. This review discusses current research regarding the C677T polymorphism and its relationship with CVD, inflammation, diabetes, and epigenetic regulation and compares the evidence provided for and against the association with CVD.
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Sarah EH, El Omri N, Ibrahimi A, El Jaoudi R. Metabolic and genetic studies of glimepiride and metformin and their association with type 2 diabetes. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Zhu L, Huang Q, Xie Z, Kang M, Ding H, Chen B, Chen Y, Liu C, Wang Y, Tang W. PPARGC1A rs3736265 G>A polymorphism is associated with decreased risk of type 2 diabetes mellitus and fasting plasma glucose level. Oncotarget 2018; 8:37308-37320. [PMID: 28418876 PMCID: PMC5514910 DOI: 10.18632/oncotarget.16307] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 02/13/2017] [Indexed: 12/21/2022] Open
Abstract
It has been reported that peroxisome proliferator-activated receptor gamma (PPARG) and peroxisome proliferator-activated receptor gamma co-activator 1 (PPARGC1) family (e.g. PPARGC1A and PPARGC1B) are key agents in the development and pathophysiology of type 2 diabetes mellitus (T2DM). In this study, we designed a case-control study and selected PPARG rs1801282 C>G, PPARG rs3856806 C>T, PPARGC1A rs8192678 C>T, PPARGC1A rs2970847 C>T, PPARGC1A rs3736265 G>A, PPARGC1B rs7732671 G>C and PPARGC1B rs17572019 G>A polymorphisms to assess the relationship between these polymorphisms and T2DM using the SNPscan method. A total of 502 T2DM patients and 784 non-diabetic controls were enrolled. We found that PPARGC1A rs3736265 G>A polymorphism was correlated with a borderline decreased susceptibility of T2DM. In a subgroup analysis by age, sex, alcohol use, smoking status and body mass index, a significantly decreased risk of T2DM in <65 years and female groups was found. Haplotype comparison analysis indicated that CTTCGGG and CTCTGGG haplotypes with the order of PPARG rs1801282 C>G, PPARG rs3856806 C>T, PPARGC1A rs8192678 C>T, PPARGC1A rs2970847 C>T, PPARGC1A rs3736265 G>A, PPARGC1B rs7732671 G>C and PPARGC1B rs17572019 G>A polymorphisms in gene position significantly increased the risk of T2DM. However, CCCCACA haplotype conferred a decreased risk to T2DM. We also found that PPARGC1A rs3736265 A allele decreased the level of fasting plasma glucose (FPG), while increased the level of Triglyceride. In conclusion, Our findings suggest that variants of PPARGC1A rs3736265 G>A polymorphism decrease the level of FPG, improving the expectation of study in individual's prevention strategies to T2DM.
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Affiliation(s)
- Li Zhu
- Department of Nephrology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Qiuyu Huang
- Department of Cardiac Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Zhiqiang Xie
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Mingqiang Kang
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Hao Ding
- Department of Respiratory Disease, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Boyang Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Yu Chen
- Department of Medical Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian Province, China
| | - Chao Liu
- Department of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Yafeng Wang
- Department of Cardiology, The People's Hospital of Xishuangbanna Dai Autonomous Prefecture, Jinghong, Yunnan Province, China
| | - Weifeng Tang
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
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Zhao F, Mamatyusupu D, Wang Y, Fang H, Wang H, Gao Q, Dong H, Ge S, Yu X, Zhang J, Wu L, Song M, Wang W. The Uyghur population and genetic susceptibility to type 2 diabetes: potential role for variants in CAPN10, APM1 and FUT6 genes. J Cell Mol Med 2016; 20:2138-2147. [PMID: 27374856 PMCID: PMC5082412 DOI: 10.1111/jcmm.12911] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/20/2016] [Indexed: 02/06/2023] Open
Abstract
Genome‐wide association studies have successfully identified over 70 loci associated with the risk of type 2 diabetes mellitus (T2DM) in multiple populations of European ancestry. However, the risk attributable to an individual variant is modest and does not yet provide convincing evidence for clinical utility. Association between these established genetic variants and T2DM in general populations is hitherto understudied in the isolated populations, such as the Uyghurs, resident in Hetian, far southern Xinjiang Uyghur Autonomous Region, China. In this case–control study, we genotyped 13 single‐nucleotide polymorphisms (SNPs) at 10 genes associated with diabetes in 130 cases with T2DM and 135 healthy controls of Uyghur, a Chinese minority ethnic group. Three of the 13 SNPs demonstrated significant association with T2DM in the Uyghur population. There were significant differences between the T2DM patients and controls in the risk allele distributions of rs3792267 (CAPN10) (P = 0.002), rs1501299 (APM1) (P = 0.017), and rs3760776 (FUT6) (P = 0.031). Allelic carriers of rs3792267‐A, rs1501299‐T, and rs3760776‐T had a 2.24‐fold [OR (95% CI): 1.35–3.71], 0.59‐fold [OR (95% CI): 0.39–0.91], 0.57‐fold [OR (95% CI): 0.34–0.95] increased risk for T2DM respectively. We further confirmed that the cumulative risk allelic scores calculated from the 13 susceptibility loci for T2DM differed significantly between the T2DM patients and controls (P = 0.001), and the effect of obesity/overweight on T2DM was only observed in the subjects with a combined risk allelic score under a value of 17. This study observed that the SNPs rs3792267 in CAPN10, rs1501299 in APM1, and rs3760776 in FUT6 might serve as potential susceptible biomarkers for T2DM in Uyghurs. The cumulative risk allelic scores of multiple loci with modest individual effects are also significant risk factors in Uyghurs for T2DM, particularly among non‐obese individuals. This is the first investigation having observed/found genetic variations on genetic loci functionally linked with glycosylation associated with the risk of T2DM in a Uyghur population.
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Affiliation(s)
- Feifei Zhao
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Dolikun Mamatyusupu
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Youxin Wang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Honghong Fang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hao Wang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qing Gao
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hao Dong
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Siqi Ge
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xinwei Yu
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lijuan Wu
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Manshu Song
- School of Public Health, Capital Medical University, Beijing, China. .,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Wei Wang
- School of Public Health, Capital Medical University, Beijing, China. .,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China. .,School of Medical Sciences, Edith Cowan University, Joondalup, WA, Australia.
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Assmann TS, Duarte GCK, Rheinheimer J, Cruz LA, Canani LH, Crispim D. The TCF7L2 rs7903146 (C/T) polymorphism is associated with risk to type 2 diabetes mellitus in Southern-Brazil. ACTA ACUST UNITED AC 2015; 58:918-25. [PMID: 25627047 DOI: 10.1590/0004-2730000003510] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Accepted: 09/14/2014] [Indexed: 02/26/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the association between the rs7903146 (C/T) polymorphism in the TCF7L2 gene and type 2 diabetes mellitus, in a Southern-Brazilian population. MATERIALS AND METHODS The TCF7L2 rs7903146 polymorphism was genotyped in 953 type 2 diabetic patients and 535 non-diabetic subjects. All subjects were white. The polymorphism was genotyped by Real-Time PCR using TaqMan MGB probes (Life Technologies). Odds ratios (OR) and 95% confidence intervals (CI) were calculated for additive, recessive and dominant inheritance models. RESULTS Genotype and allele frequencies of the rs7903146 polymorphism differed significantly between type 2 diabetic patients and non-diabetic subjects (P = 0.001 and P = 0.0001, respectively). The frequency of the minor allele was 38% in type 2 diabetes group and 31% in non-diabetic subjects, and this allele was significantly associated with type 2 diabetes risk (OR = 1.42, 95% CI 1.15 - 1.76 for the dominant model of inheritance). Moreover, the T/T genotype was associated with a higher risk for type 2 diabetes (OR = 1.83, 95% CI 1.3-2.5) than the presence of only one copy of the T allele (OR = 1.31, 95% CI 1.1-1.6). Both results were adjusted for age and gender. CONCLUSIONS Our results confirm the association between the TCF7L2 rs7903146 polymorphism and increase risk for type 2 diabetes in Southern-Brazil.
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Affiliation(s)
- Taís S Assmann
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Guilherme C K Duarte
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Jakeline Rheinheimer
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Lavínia A Cruz
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Luís H Canani
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Daisy Crispim
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
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Nanfa D, Sobngwi E, Atogho-Tiedeu B, Noubiap JJN, Donfack OS, Mofo EPM, Guewo-Fokeng M, Nguimmo Metsadjio A, Ndonwi Ngwa E, Pokam Fosso P, Djahmeni E, Djokam-Dadjeu R, Evehe MS, Aminkeng F, Mbacham WF, Mbanya JC. Association between the TCF7L2 rs12255372 (G/T) gene polymorphism and type 2 diabetes mellitus in a Cameroonian population: a pilot study. Clin Transl Med 2015; 4:17. [PMID: 25995831 PMCID: PMC4434239 DOI: 10.1186/s40169-015-0058-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2015] [Accepted: 04/01/2015] [Indexed: 01/22/2023] Open
Abstract
Background To study the relationship between the rs12255372 (G/T) polymorphism of the transcription factor 7-like 2 (TCF7L2) and type 2 diabetes mellitus (T2DM) in a Cameroonian population. Methods This case–control study included 60 T2DM patients and 60 healthy normoglycemic controls, all unrelated and of Cameroonian origin, aged above 40 years (range 40–87). The Restriction Fragment Length Polymorphism - Polymerase Chain Reaction (RFLP-PCR) was used for genotyping. Results The T allele frequency was significantly higher in the diabetic group (0.44) than in the control group (0.17). This allele was significantly associated to a greater risk of developing T2DM as compared to the G allele (OR = 3.92, 95% CI 2.04 – 7.67, p < 0.0001). The codominant (additive) model explained best the risk of developing the disease, as the TT genotype was significantly associated to T2DM when compared to the GG genotype (OR = 4.45, 95% CI 1.64 – 12.83, p = 0.0014). By logistic regression adjusted for age, this OR was 4.33 (95% CI: 1.57 – 11.92, p = 0.005). Conclusion Our findings suggest that the rs12255372 (G/T) polymorphism of the TCF7L2 gene is an important risk factor for T2DM in the Cameroonian population.
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Affiliation(s)
- Dieudonne Nanfa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Eugene Sobngwi
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon ; Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon ; National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon
| | - Barbara Atogho-Tiedeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Jacques N Noubiap
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa ; Medical Diagnostic Center, Yaoundé, Cameroon
| | - Olivier Sontsa Donfack
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Edith Pascale Mato Mofo
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Elvis Ndonwi Ngwa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Priscille Pokam Fosso
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Eric Djahmeni
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
| | - Rosine Djokam-Dadjeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Marie-Solange Evehe
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Folefac Aminkeng
- The Canadian Pharmacogenomics Network for Drug Safety (CPNDS), Center for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Wilfred F Mbacham
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Public Health Research Biotechnologies, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon ; Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon ; National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon
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Guewo-Fokeng M, Sobngwi E, Atogho-Tiedeu B, Donfack OS, Noubiap JJN, Ngwa EN, Mato-Mofo EP, Fosso PP, Djahmeni E, Djokam-Dadjeu R, Evehe MS, Aminkeng F, Mbacham WF, Mbanya JC. Contribution of the TCF7L2 rs7903146 (C/T) gene polymorphism to the susceptibility to type 2 diabetes mellitus in Cameroon. J Diabetes Metab Disord 2015; 14:26. [PMID: 25897419 PMCID: PMC4403887 DOI: 10.1186/s40200-015-0148-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 03/08/2015] [Indexed: 01/08/2023]
Abstract
Background Data on the genetic variants for type 2 diabetes mellitus (T2DM) in sub-Saharan African populations are very scarce. This study aimed to investigate the association of transcription factor 7-like (TCF7L2) with T2DM in a Cameroonian population and explore possible genotype-phenotype correlation. Methods This is a case–control study involving 37 T2DM patients and 37 non-diabetic volunteers of Cameroonian ethnicity aged 40 years old and above. We collected clinical and biological data to determine phenotypic traits. TCF7L2 was analyzed by genotyping for rs7903146 (C/T) using PCR-RFLP. Biochemical analyses were performed using a spectrophotometer with Chronolab kits. Statistical analyses were carried out using IBM SPSS, PS and Quanto. Results TCF7L2 was associated with T2DM in this Cameroonian population (p = 0.013 for alleles, and p = 0.013 for genotypes). The risk allele was C (9.5% patients vs. 0% healthy controls, OR = 16.56) and the protective allele was T (90.5% patients vs. 100.0% healthy controls, OR = 0.06). The risk genotype was C/T (18.9% patients vs. 0% healthy controls, OR = 18.44), while the protective genotype was T/T (81.1% patients vs. 100.0% healthy controls, OR = 0.054). The statistical power was 99.99%. TCF7L2 was not preferentially associated with a specific disease phenotype. Conclusion TCF7L2 is associated with T2DM in this Cameroonian population. The association is not dependent on a specific T2DM phenotype. Clinical genetic testing for TCF7L2 can help to predict the occurrence of T2DM in Cameroon.
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Affiliation(s)
- Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Eugene Sobngwi
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon ; Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon ; National Obesity Center, Yaoundé Central Hospital, University of Yaoundé 1, Yaoundé, Cameroon
| | - Barbara Atogho-Tiedeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Olivier Sontsa Donfack
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Jacques N Noubiap
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa ; Medical Diagnostic Center, Yaoundé, Cameroon
| | - Elvis Ndonwi Ngwa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Edith Pascale Mato-Mofo
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Priscille Pokam Fosso
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Eric Djahmeni
- National Obesity Center, Yaoundé Central Hospital, University of Yaoundé 1, Yaoundé, Cameroon
| | - Rosine Djokam-Dadjeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Marie-Solange Evehe
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Folefac Aminkeng
- The Canadian Pharmacogenomics Network for Drug Safety (CPNDS), Center for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Wilfred F Mbacham
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Public Health Research Biotechnologies, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon ; Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon ; National Obesity Center, Yaoundé Central Hospital, University of Yaoundé 1, Yaoundé, Cameroon
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Sortica DA, Buffon MP, Souza BM, Nicoletto BB, Santer A, Assmann TS, Crispim D, Canani LH. Association between the ENPP1 K121Q polymorphism and risk of diabetic kidney disease: a systematic review and meta-analysis. PLoS One 2015; 10:e0118416. [PMID: 25794151 PMCID: PMC4368055 DOI: 10.1371/journal.pone.0118416] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Accepted: 01/16/2015] [Indexed: 01/05/2023] Open
Abstract
The potential association between the K121Q (A/C, rs1044498) polymorphism in the ectonucleotide pyrophosphatase/phosphodiesterase (ENPP1) gene and risk of diabetic kidney disease (DKD) has been investigated. Nevertheless, the effect of this variant on DKD risk is still under debate, and conflicting results have been reported. To this date, no meta-analysis has evaluated the association of the K121Q polymorphism with DKD. This paper describes the first meta-analysis conducted to evaluate whether the ENPP1K121Q polymorphism is associated with DKD. A literature search was conducted to identify all case-control or cross-sectional studies that evaluated associations between the ENPP1K121Q polymorphism and DKD. Pooled odds ratios (OR) and 95% confidence intervals (95% CI) were calculated for allele contrast, additive, dominant and recessive inheritance models. Seven studies were eligible for inclusion in the meta-analysis, providing data on 3571 type 1 or type 2 diabetic patients (1606 cases with DKD and 1965 diabetic controls without this complication). No significant heterogeneity was observed among the studies included in the meta-analysis when assuming different inheritance models (I² < 50% or P > 0.10 for the entire sample and after stratification by ethnicity). Meta-analysis results revealed significant associations between the K121Q polymorphism and risk of DKD in Asians and Europeans when assuming the different inheritance models analyzed. The most powerful association was observed for the additive model (OR = 1.74, 95% CI 1.27-2.38 for the total sample). In conclusion, the present meta-analysis detected a significant association between the ENPP1K121Q polymorphism and increased susceptibility of DKD in European and Asian populations.
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Affiliation(s)
- Denise Alves Sortica
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Marjorie Piucco Buffon
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Bianca Marmontel Souza
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Bruna Bellicanta Nicoletto
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Andressa Santer
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Tais Silveira Assmann
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Daisy Crispim
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luis Henrique Canani
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- * E-mail:
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Golshani H, Haghani K, Dousti M, Bakhtiyari S. Association of TNF-α 308 G/A Polymorphism With Type 2 Diabetes: A Case-Control Study in the Iranian Kurdish Ethnic Group. Osong Public Health Res Perspect 2015; 6:94-9. [PMID: 25938018 PMCID: PMC4411339 DOI: 10.1016/j.phrp.2015.01.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 11/20/2014] [Accepted: 01/15/2015] [Indexed: 12/03/2022] Open
Abstract
Objectives Tumor necrosis factor-α (TNF-α) plays roles in the development of obesity, insulin resistance, and possibility of Type 2 diabetes mellitus (T2DM). The objective of the current study was to evaluate the association of TNF-α promoter−308 G/A polymorphism with T2DM. Methods In all, 1038 patients with T2DM and 1023 normoglycemic controls were included in this study. All participants were genotyped using the polymerase chain reaction-restriction fragment length polymorphism method. Genotypic and allelic frequencies were then analyzed in each group. Serum lipids, fasting glucose, fasting serum insulin, homeostatic model assessment of insulin resistance, and hemoglogin A1c levels were determined by conventional methods. Results The allelic frequency of the A allele was significantly different between case and control participants (p = 0.006). Genotypes GA and AA were found to be significantly associated with 2.24- and 3.18-fold increased risk for T2DM, respectively. Similarly, the dominant model of -308 G/A polymorphism was found to have a higher risk for T2DM (odds ratio = 2.34, p = 0.001). Individuals with T2DM carrying the GA + AA genotypes of -308 G/A variation had significantly lower fasting plasma insulin than those carrying GG genotype. Conclusion Our findings revealed that there is an association between the TNF-α promoter -308 G/A polymorphism and T2DM in this population.
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Affiliation(s)
- Hasan Golshani
- Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran
| | - Karimeh Haghani
- Department of Clinical Biochemistry, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Majid Dousti
- Department of Parasitology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Salar Bakhtiyari
- Department of Clinical Biochemistry, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
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Traissac P, Pradeilles R, El Ati J, Aounallah-Skhiri H, Eymard-Duvernay S, Gartner A, Béji C, Bougatef S, Martin-Prével Y, Kolsteren P, Delpeuch F, Ben Romdhane H, Maire B. Abdominal vs. overall obesity among women in a nutrition transition context: geographic and socio-economic patterns of abdominal-only obesity in Tunisia. Popul Health Metr 2015; 13:1. [PMID: 25745363 PMCID: PMC4350904 DOI: 10.1186/s12963-015-0035-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Accepted: 01/13/2015] [Indexed: 01/31/2023] Open
Abstract
Background Most assessments of the burden of obesity in nutrition transition contexts rely on body mass index (BMI) only, even though abdominal adiposity might be specifically predictive of adverse health outcomes. In Tunisia, a typical country of the Middle East and North Africa (MENA) region, where the burden of obesity is especially high among women, we compared female abdominal vs. overall obesity and its geographic and socio-economic cofactors, both at population and within-subject levels. Methods The cross-sectional study used a stratified, three-level, clustered sample of 35- to 70-year-old women (n = 2,964). Overall obesity was BMI = weight/height2 ≥ 30 kg/m2 and abdominal obesity waist circumference ≥ 88 cm. We quantified the burden of obesity for overall and abdominal obesity separately and their association with place of residence (urban/rural, the seven regions that compose Tunisia), plus physiological and socio-economic cofactors by logistic regression. We studied the within-subject concordance of the two obesities and estimated the prevalence of subject-level “abdominal-only” obesity (AO) and “overall-only” obesity (OO) and assessed relationships with the cofactors by multinomial logistic regression. Results Abdominal obesity was much more prevalent (60.4% [57.7-63.0]) than overall obesity (37.0% [34.5-39.6]), due to a high proportion of AO status (25.0% [22.8-27.1]), while the proportion of OO was small (1.6% [1.1-2.2]). We found mostly similar associations between abdominal and overall obesity and all the cofactors except that the regional variability of abdominal obesity was much larger than that of overall obesity. There were no adjusted associations of AO status with urban/rural area of residence (P = 0.21), education (P = 0.97) or household welfare level (P = 0.94) and only non-menopausal women (P = 0.093), lower parity women (P = 0.061) or worker/employees (P = 0.038) were somewhat less likely to be AO. However, there was a large residual adjusted regional variability of AO status (from 16.6% to 34.1%, adjusted P < 0.0001), possibly of genetic, epigenetic, or developmental origins. Conclusion Measures of abdominal adiposity need to be included in population-level appraisals of the burden of obesity, especially among women in the MENA region. The causes of the highly prevalent abdominal-only obesity status among women require further investigation.
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Affiliation(s)
- Pierre Traissac
- IRD (Institut de Recherche pour le Développement), NUTRIPASS Unit, IRD-UM-SupAgro, 911 av. Agropolis, 34394 Montpellier, France
| | - Rebecca Pradeilles
- IRD (Institut de Recherche pour le Développement), NUTRIPASS Unit, IRD-UM-SupAgro, 911 av. Agropolis, 34394 Montpellier, France
| | - Jalila El Ati
- INNTA (National Institute of Nutrition and Food Technology), 11 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia ; SURVEN (Nutrition Surveillance and Epidemiology in Tunisia) Research Laboratory, 11 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia
| | - Hajer Aounallah-Skhiri
- SURVEN (Nutrition Surveillance and Epidemiology in Tunisia) Research Laboratory, 11 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia ; INSP (National Institute of Public Health), 5-7 rue de Khartoum, 1002 Tunis, Tunisia ; Faculty of Medicine, Tunis El Manar University, 15 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia
| | - Sabrina Eymard-Duvernay
- IRD (Institut de Recherche pour le Développement), NUTRIPASS Unit, IRD-UM-SupAgro, 911 av. Agropolis, 34394 Montpellier, France
| | - Agnès Gartner
- IRD (Institut de Recherche pour le Développement), NUTRIPASS Unit, IRD-UM-SupAgro, 911 av. Agropolis, 34394 Montpellier, France
| | - Chiraz Béji
- INNTA (National Institute of Nutrition and Food Technology), 11 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia
| | - Souha Bougatef
- INSP (National Institute of Public Health), 5-7 rue de Khartoum, 1002 Tunis, Tunisia
| | - Yves Martin-Prével
- IRD (Institut de Recherche pour le Développement), NUTRIPASS Unit, IRD-UM-SupAgro, 911 av. Agropolis, 34394 Montpellier, France
| | - Patrick Kolsteren
- ITM (Institute of Tropical Medicine), 155 Nationalestraat, 2000 Antwerp, Belgium
| | - Francis Delpeuch
- SURVEN (Nutrition Surveillance and Epidemiology in Tunisia) Research Laboratory, 11 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia
| | - Habiba Ben Romdhane
- Epidemiology and Prevention of Cardiovascular Diseases Research Laboratory, Faculty of Medicine, 15 rue Jebel Lakhdar, Bab Saadoun, 1007 Tunis, Tunisia
| | - Bernard Maire
- IRD (Institut de Recherche pour le Développement), NUTRIPASS Unit, IRD-UM-SupAgro, 911 av. Agropolis, 34394 Montpellier, France
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