Association of peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PPARGC1A) gene polymorphisms and type 2 diabetes mellitus: a meta-analysis

2011 ◽  
Vol 27 (2) ◽  
pp. 177-184 ◽  
Author(s):  
Ying Yang ◽  
Xingbo Mo ◽  
Shufeng Chen ◽  
Xiangfeng Lu ◽  
Dongfeng Gu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Peroxisome Proliferator ◽  
Peroxisome Proliferator Activated Receptor

scholarly journals Role of peroxisome proliferator-activated receptor gamma gene polymorphisms in type 2 diabetes mellitus patients of West Bengal, India

2013 ◽  
Vol 5 (2) ◽  
pp. 188-191 ◽  
Author(s):  
Arup Kumar Pattanayak ◽  
Biswabandhu Bankura ◽  
Nisha Balmiki ◽  
Tapas Kumar Das ◽  
Subhankar Chowdhury ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphisms ◽  
West Bengal ◽  
Peroxisome Proliferator ◽  
Peroxisome Proliferator Activated Receptor

scholarly journals Associations of KCNQ1 Polymorphisms with the Risk of Type 2 Diabetes Mellitus: An Updated Meta-Analysis with Trial Sequential Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xiao-xuan Yu ◽  
Min-qi Liao ◽  
Yu-fei Zeng ◽  
Xu-ping Gao ◽  
Yan-hua Liu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphisms ◽  
Sequential Analysis ◽  
Meta Analysis ◽  
Asian Population ◽  
Trial Sequential Analysis ◽  
Case Control Studies

Background. Previous studies have examined the role of the KQT-like subfamily Q member1 (KCNQ1) gene polymorphisms on the risk of type 2 diabetes mellitus (T2DM), but the findings are inconclusive. Objective. To examine the association between the KCNQ1 gene polymorphisms and the risk of T2DM using an updated meta-analysis with an almost tripled number of studies. Methods. Five electronic databases, such as PubMed and Embase, were searched thoroughly for relevant studies on the associations between seven most studied KCNQ1 gene polymorphisms, including rs2237892, rs2237897, rs2237895, rs2283228, rs231362, rs151290, and rs2074196, and T2DM risk up to September 14, 2019. The summary odds ratios (ORs) with their 95% confidence intervals (CIs) were applied to assess the strength of associations in the random-effects models. We used the trial sequential analysis (TSA) to measure the robustness of the evidence. Results. 49 publications including 55 case-control studies (68,378 cases and 66,673 controls) were finally enrolled. In overall analyses, generally, increased T2DM risk was detected for rs2237892, rs2237895, rs2283228, rs151290, and rs2074196, but not for rs231362 under all genetic models. The ORs and 95% CIs for allelic comparison were 1.23 (1.14-1.33) for rs2237892, 1.21 (1.16-1.27) for rs2237895, 1.27 (1.11-1.46) for rs2237897, 1.25 (1.09-1.42) for rs2283228, 1.14 (1.03-1.27) for rs151290, 1.31 (1.23-1.39) for rs2074196, and 1.16 (0.83, 1.61) for rs231362. Stratified analyses showed that associations for rs2237892, rs2237895, rs2283228, and rs151290 were more evident among Asians than Caucasians. TSA demonstrated that the evidence was sufficient for all polymorphisms in this study. The genotypes of the three SNPs (rs2237892, rs2283228, and rs231362) were significantly correlated with altered KCNQ1 gene expression. Conclusion. This meta-analysis suggested that KCNQ1 gene polymorphisms (rs2237892, rs2283228, rs2237895, rs151290, and rs2074196) might be the susceptible factors for T2DM, especially among Asian population.

scholarly journals The Pattern of Peroxisome Proliferator-activated Receptor Gamma Coactivator 1-alpha Gene Expression in Type-2 Diabetes Mellitus Rat Model Liver: Focus on Exercise

2021 ◽  
Vol 9 (T3) ◽  
pp. 124-128
Author(s):  
Yetty Machrina ◽  
Dharma Lindarto ◽  
Yunita Sari Pane ◽  
Novita Sari Harahap
Keyword(s):  
Gene Expression ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Rat Model ◽  
Moderate Intensity ◽  
Peroxisome Proliferator ◽  
Peroxisome Proliferator Activated Receptor ◽  
Treatment Groups

BACKGROUND: Peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) has an important role in mitochondria biogenesis which generated cellular metabolism. Carbohydrate metabolism in the liver is crucial to maintain plasma blood glucose. AIM: This research aimed to determine the expression of PGC-1α gene in the liver type-2 diabetes mellitus (T2DM) rat model, after treatment with a focus on exercise. METHODS: We used 25 healthy male Wistar rats as subjects. Rats were modified to T2DM models by feeding a high-fat diet and low-dose streptozotocin injection. We divided the rats into five groups, that is, sedentary group as a control and four others as treatment groups. The exercise was assigned for treatment groups by a run on the treadmill as moderate intensity continuous (MIC), highintensity continuous (HIC), slow interval (SI), and fast interval (FI). The treatment groups were exercise throughout 8 weeks with a frequency of 3 times a week. RESULTS: The results showed that expression of PGC-1α gene was lower in all treatment groups compared to controls (p < 0.05). Expression in HIC was higher than MIC (p < 0.05), so was the expression in FI more than SI (p < 0.05). CONCLUSIONS: Exercise affected PGC-1α gene expression in the liver of the T2DM rat model. The expression of PGC-1α was linear with exercise intensity.

Significant Association between Microrna Gene Polymorphisms and Type 2 Diabetes Mellitus Susceptibility in Asian Population: A Meta-Analysis

2020 ◽  
Author(s):  
Zhifang DENG ◽  
Wenqi GAO ◽  
Wei LUO ◽  
Li AI ◽  
Min HU
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Asian Population ◽  
Healthy Population ◽  
Nucleotide Polymorphisms ◽  
Microrna Gene

Background: The gene polymorphisms in microRNA might relate to susceptibility of type 2 diabetes mellitus (T2DM). However, the results of existing studies were inconsistent and obscure. To investigate the precise associations between microRNA gene polymorphisms and T2DM risk, the present meta-analysis was performed. Methods: The literatures were searched from four electronic databases, PubMed, Embase, CNKI and Wanfang. Subsequently, odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were both used to evaluate the associations between two single nucleotide polymorphisms (SNPs) (microRNA146a rs2910164 (G>C), microRNA124a rs531564 (C>G)) and risk of T2DM in Asian population. Results: Totally, there were 4 studies included in our present analysis in the language of English and Chinese. There were partly significant associations between susceptibility of T2DM and SNPs (microRNA146a rs2910164 (G>C), microRNA124a rs531564 (C>G)). The G allele in microRNA146a rs2910164 (G>C) and C allele in microRNA124a rs531564 (C>G) both presented remarkably reduced risk of T2DM when compared with the healthy population. Conclusion: The microRNA146a rs2910164 (G allele) and microRNA124a rs531564 (C allele) might function as protective factors in the pathogenetic process of T2DM in Asian population.

Sign in / Sign up

Export Citation Format

Share Document