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Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies

Whether hypertension is associated with −572 C>G or −174 G>C polymorphism in interleukin (IL)-6 genes still remains hazy and ambiguous. We conducted a meta-analysis to offer a more reliable and clearer evaluation about the association. Electronic literature databases including PubMed, Web of S...

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Autores principales: Ma, He, Sun, Guixiang, Wang, Wei, Zhou, Yunti, Liu, Dang, Tong, Yue, Lu, Zhaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718247/
https://www.ncbi.nlm.nih.gov/pubmed/26765421
http://dx.doi.org/10.1097/MD.0000000000002416
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author Ma, He
Sun, Guixiang
Wang, Wei
Zhou, Yunti
Liu, Dang
Tong, Yue
Lu, Zhaojun
author_facet Ma, He
Sun, Guixiang
Wang, Wei
Zhou, Yunti
Liu, Dang
Tong, Yue
Lu, Zhaojun
author_sort Ma, He
collection PubMed
description Whether hypertension is associated with −572 C>G or −174 G>C polymorphism in interleukin (IL)-6 genes still remains hazy and ambiguous. We conducted a meta-analysis to offer a more reliable and clearer evaluation about the association. Electronic literature databases including PubMed, Web of Science, EMBASE, Google Scholar, Chinese National Knowledge Infrastructure and Wanfang database were searched. The study included the following: evaluating associations between −572 C>G or −174 G>C polymorphism in IL-6 gene and hypertension; case-control design; essential information must be offered; precise diagnostic criteria of hypertension; and no language restriction. Patients who met the diagnostic criteria and controls without a history of hypertension were included. Interventions were not available. A quality assessment was conducted using Newcastle-Ottawa scale. Combined odds ratios with 95% confidence intervals were calculated in 5 genetic models. Sources of heterogeneity were explored by subgroup analysis, meta-regression, and Galbraith plots. Finally, test for publication bias was performed to prove the stabilization. Fifteen studies were finally included. Eleven articles were judged high-quality reports. Overall, the −572 C>G polymorphism was proved to be significantly associated with hypertension in 4 genetic models. Subgroup analysis based on ethnicity revealed significant associations in Asian population in recessive model and homozygote comparison. The association in Europeans and Mid-East required further confirmation. No significant association was observed between the −174 G>C polymorphism and hypertension under all of the genetic models. The limitations of the study were the following: restrictive number of eligible studies limited the extrapolation range in subgroup analysis; gene–environment factors could not be described due to lack of data; some relevant studies could not be included because of various reasons. Current researches supported the association between the development of hypertension and the −572 C>G rather than −174 G>C polymorphism. Future well designed epidemiological studies may evaluate the possible gene–environment interactions.
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spelling pubmed-47182472016-02-04 Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies Ma, He Sun, Guixiang Wang, Wei Zhou, Yunti Liu, Dang Tong, Yue Lu, Zhaojun Medicine (Baltimore) 3400 Whether hypertension is associated with −572 C>G or −174 G>C polymorphism in interleukin (IL)-6 genes still remains hazy and ambiguous. We conducted a meta-analysis to offer a more reliable and clearer evaluation about the association. Electronic literature databases including PubMed, Web of Science, EMBASE, Google Scholar, Chinese National Knowledge Infrastructure and Wanfang database were searched. The study included the following: evaluating associations between −572 C>G or −174 G>C polymorphism in IL-6 gene and hypertension; case-control design; essential information must be offered; precise diagnostic criteria of hypertension; and no language restriction. Patients who met the diagnostic criteria and controls without a history of hypertension were included. Interventions were not available. A quality assessment was conducted using Newcastle-Ottawa scale. Combined odds ratios with 95% confidence intervals were calculated in 5 genetic models. Sources of heterogeneity were explored by subgroup analysis, meta-regression, and Galbraith plots. Finally, test for publication bias was performed to prove the stabilization. Fifteen studies were finally included. Eleven articles were judged high-quality reports. Overall, the −572 C>G polymorphism was proved to be significantly associated with hypertension in 4 genetic models. Subgroup analysis based on ethnicity revealed significant associations in Asian population in recessive model and homozygote comparison. The association in Europeans and Mid-East required further confirmation. No significant association was observed between the −174 G>C polymorphism and hypertension under all of the genetic models. The limitations of the study were the following: restrictive number of eligible studies limited the extrapolation range in subgroup analysis; gene–environment factors could not be described due to lack of data; some relevant studies could not be included because of various reasons. Current researches supported the association between the development of hypertension and the −572 C>G rather than −174 G>C polymorphism. Future well designed epidemiological studies may evaluate the possible gene–environment interactions. Wolters Kluwer Health 2016-01-15 /pmc/articles/PMC4718247/ /pubmed/26765421 http://dx.doi.org/10.1097/MD.0000000000002416 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-sa/4.0 This is an open access article distributed under the Creative Commons Attribution-ShareAlike License 4.0, which allows others to remix, tweak, and build upon the work, even for commercial purposes, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-sa/4.0
spellingShingle 3400
Ma, He
Sun, Guixiang
Wang, Wei
Zhou, Yunti
Liu, Dang
Tong, Yue
Lu, Zhaojun
Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies
title Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies
title_full Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies
title_fullStr Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies
title_full_unstemmed Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies
title_short Association Between Interleukin-6 -572 C>G and -174 G>C Polymorphisms and Hypertension: A Meta-analysis of Case-control Studies
title_sort association between interleukin-6 -572 c>g and -174 g>c polymorphisms and hypertension: a meta-analysis of case-control studies
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718247/
https://www.ncbi.nlm.nih.gov/pubmed/26765421
http://dx.doi.org/10.1097/MD.0000000000002416
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