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Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis

BACKGROUND: Adiponectin (ADIPOQ) is an important factor involved in the regulation of both carbohydrate and lipid metabolism. Polymorphisms in the ADIPOQ gene are known to influence an individual’s predisposition to metabolic syndrome and type 2 diabetes. Moreover, women with gestational diabetes me...

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Autores principales: Huang, Lin-Ting, Wu, Shi-Lan, Liao, Xin, Ma, Shu-Juan, Tan, Hong-Zhuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406200/
https://www.ncbi.nlm.nih.gov/pubmed/30863757
http://dx.doi.org/10.12998/wjcc.v7.i5.572
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author Huang, Lin-Ting
Wu, Shi-Lan
Liao, Xin
Ma, Shu-Juan
Tan, Hong-Zhuan
author_facet Huang, Lin-Ting
Wu, Shi-Lan
Liao, Xin
Ma, Shu-Juan
Tan, Hong-Zhuan
author_sort Huang, Lin-Ting
collection PubMed
description BACKGROUND: Adiponectin (ADIPOQ) is an important factor involved in the regulation of both carbohydrate and lipid metabolism. Polymorphisms in the ADIPOQ gene are known to influence an individual’s predisposition to metabolic syndrome and type 2 diabetes. Moreover, women with gestational diabetes mellitus (GDM) are at an increased risk of developing type 2 diabetes. Several studies have been conducted previously to assess the association between ADIPOQ polymorphisms and GDM; however, the results of the association are inconclusive. AIM: To quantitatively evaluate the association between ADIPOQ +45T/G, +276G/T, and -11377C/G polymorphisms and the risk of GDM. METHODS: A systematic search of EMBASE, PubMed, CNKI, Web of Science, and WANFANG DATA was conducted up to October 20, 2018. We calculated merged odds ratios (ORs) with 95% confidence intervals (CIs) using a fixed-effects or random-effects model depending on the between-study heterogeneity to evaluate the association between AIDPOQ +45T/G, +276G/T, and -11377C/G polymorphisms and the risk of GDM. Subgroup analysis was performed by ethnicity. Publication and sensitivity bias analyses were performed to test the robustness of the association. All statistical analyses were conducted using Stata12.0. RESULTS: Nine studies of +45T/G included 1024 GDM cases and 1059 controls, five studies of +276G/T included 590 GDM cases and 595 controls, and five studies of -11377C/G included 722 GDM cases and 791 controls. Pooled ORs indicated that +45T/G increased GDM risk in Asians (allelic model: OR = 1.47, 95%CI: 1.27-1.70, P = 0.000; dominant model: OR = 1.54, 95%CI: 1.27-1.85, P = 0.000; recessive model: OR=2.00, 95%CI: 1.43-2.85, P = 0.000), not in South Americans (allelic model: OR = 1.21, 95%CI: 0.68-2.41, P = 0.510; dominant model: OR = 1.13, 95%CI: 0.59-2.15, P = 0.710; recessive model: OR = 2.18, 95%CI: 0.43-11.07, P = 0.350). There were no significant associations between +276G/T (allelic model: OR = 0.88, 95%CI: 0.74-1.05, P = 0.158; dominant model: OR = 0.91, 95%CI: 0.65-1.26, P = 0.561; recessive model: OR = 0.82, 95%CI: 0.64-1.05, P = 0.118) or -11377C/G (allelic model: OR = 0.96, 95%CI: 0.72-1.26, P = 0.750; dominant model: OR = 1.00, 95%CI: 0.73-1.37, P = 0.980; recessive model: OR = 0.90, 95%CI: 0.61-1.32, P = 0.570) and the risk of GDM. CONCLUSION: Our meta-analysis shows the critical role of the ADIPOQ +45T/G polymorphism in GDM, especially in Asians. Studies focused on delineating ethnicity-specific factors with larger sample sizes are needed.
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spelling pubmed-64062002019-03-12 Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis Huang, Lin-Ting Wu, Shi-Lan Liao, Xin Ma, Shu-Juan Tan, Hong-Zhuan World J Clin Cases Meta-Analysis BACKGROUND: Adiponectin (ADIPOQ) is an important factor involved in the regulation of both carbohydrate and lipid metabolism. Polymorphisms in the ADIPOQ gene are known to influence an individual’s predisposition to metabolic syndrome and type 2 diabetes. Moreover, women with gestational diabetes mellitus (GDM) are at an increased risk of developing type 2 diabetes. Several studies have been conducted previously to assess the association between ADIPOQ polymorphisms and GDM; however, the results of the association are inconclusive. AIM: To quantitatively evaluate the association between ADIPOQ +45T/G, +276G/T, and -11377C/G polymorphisms and the risk of GDM. METHODS: A systematic search of EMBASE, PubMed, CNKI, Web of Science, and WANFANG DATA was conducted up to October 20, 2018. We calculated merged odds ratios (ORs) with 95% confidence intervals (CIs) using a fixed-effects or random-effects model depending on the between-study heterogeneity to evaluate the association between AIDPOQ +45T/G, +276G/T, and -11377C/G polymorphisms and the risk of GDM. Subgroup analysis was performed by ethnicity. Publication and sensitivity bias analyses were performed to test the robustness of the association. All statistical analyses were conducted using Stata12.0. RESULTS: Nine studies of +45T/G included 1024 GDM cases and 1059 controls, five studies of +276G/T included 590 GDM cases and 595 controls, and five studies of -11377C/G included 722 GDM cases and 791 controls. Pooled ORs indicated that +45T/G increased GDM risk in Asians (allelic model: OR = 1.47, 95%CI: 1.27-1.70, P = 0.000; dominant model: OR = 1.54, 95%CI: 1.27-1.85, P = 0.000; recessive model: OR=2.00, 95%CI: 1.43-2.85, P = 0.000), not in South Americans (allelic model: OR = 1.21, 95%CI: 0.68-2.41, P = 0.510; dominant model: OR = 1.13, 95%CI: 0.59-2.15, P = 0.710; recessive model: OR = 2.18, 95%CI: 0.43-11.07, P = 0.350). There were no significant associations between +276G/T (allelic model: OR = 0.88, 95%CI: 0.74-1.05, P = 0.158; dominant model: OR = 0.91, 95%CI: 0.65-1.26, P = 0.561; recessive model: OR = 0.82, 95%CI: 0.64-1.05, P = 0.118) or -11377C/G (allelic model: OR = 0.96, 95%CI: 0.72-1.26, P = 0.750; dominant model: OR = 1.00, 95%CI: 0.73-1.37, P = 0.980; recessive model: OR = 0.90, 95%CI: 0.61-1.32, P = 0.570) and the risk of GDM. CONCLUSION: Our meta-analysis shows the critical role of the ADIPOQ +45T/G polymorphism in GDM, especially in Asians. Studies focused on delineating ethnicity-specific factors with larger sample sizes are needed. Baishideng Publishing Group Inc 2019-03-06 2019-03-06 /pmc/articles/PMC6406200/ /pubmed/30863757 http://dx.doi.org/10.12998/wjcc.v7.i5.572 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Meta-Analysis
Huang, Lin-Ting
Wu, Shi-Lan
Liao, Xin
Ma, Shu-Juan
Tan, Hong-Zhuan
Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis
title Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis
title_full Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis
title_fullStr Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis
title_full_unstemmed Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis
title_short Adiponectin gene polymorphisms and risk of gestational diabetes mellitus: A meta-analysis
title_sort adiponectin gene polymorphisms and risk of gestational diabetes mellitus: a meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406200/
https://www.ncbi.nlm.nih.gov/pubmed/30863757
http://dx.doi.org/10.12998/wjcc.v7.i5.572
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