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Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis

Background: To quantitatively estimate the relationship between IL‐1β -511C>T, −31T>C, and +3954C>T polymorphisms and risk of gestational disorders. Methods: In this meta-analysis, eligible publications were searched in Web of Knowledge, MEDLINE, PubMed, Scopus, and Google Scholar databases...

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Autores principales: Harati-Sadegh, Mahdiyeh, Sargazi, Saman, Taheri, Hamed, Arbabi, Narges, Saravani, Ramin, Mirinejad, Shekoufeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214042/
https://www.ncbi.nlm.nih.gov/pubmed/34169037
http://dx.doi.org/10.47176/mjiri.35.25
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author Harati-Sadegh, Mahdiyeh
Sargazi, Saman
Taheri, Hamed
Arbabi, Narges
Saravani, Ramin
Mirinejad, Shekoufeh
author_facet Harati-Sadegh, Mahdiyeh
Sargazi, Saman
Taheri, Hamed
Arbabi, Narges
Saravani, Ramin
Mirinejad, Shekoufeh
author_sort Harati-Sadegh, Mahdiyeh
collection PubMed
description Background: To quantitatively estimate the relationship between IL‐1β -511C>T, −31T>C, and +3954C>T polymorphisms and risk of gestational disorders. Methods: In this meta-analysis, eligible publications were searched in Web of Knowledge, MEDLINE, PubMed, Scopus, and Google Scholar databases (updated April 2020), using appropriate or relevant keywords. Case-control population-based reports were included if provided with genotypic frequencies of both studied groups. Statistical analyses were performed using the MetaGenyo web tool software, where a P value less than 0.05 indicated a significant association. For the assessment of between-study variations, heterogeneity analysis was applied with the I(2) statistics. Results: A total of thirteen studies were included. We observed a significant association between IL‐1β−31T>C polymorphism and reduced risk of gestational disorders under codominant CT vs. CC [OR= 0.74, CI (0.59-0.92)], and dominant CT+TT vs. CC [OR= 0.74, CI (0.60-0.91)] contrasted genetic models. The stratified analysis considering the disease type showed that the 511C>T variant, under the recessive CC vs. CT+TT model, enhanced the risk of preterm birth by 1.29 fold. Conclusion: Our results failed to support an association between two IL‐1β polymorphisms, 511C>T and +3954C>T, with the overall risk of gestational disorders. In contrast, the 31T>C variant reduced the incidence of such diseases. Further studies are encouraged to get more precise estimates of effect sizes.
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spelling pubmed-82140422021-06-23 Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis Harati-Sadegh, Mahdiyeh Sargazi, Saman Taheri, Hamed Arbabi, Narges Saravani, Ramin Mirinejad, Shekoufeh Med J Islam Repub Iran Review Article Background: To quantitatively estimate the relationship between IL‐1β -511C>T, −31T>C, and +3954C>T polymorphisms and risk of gestational disorders. Methods: In this meta-analysis, eligible publications were searched in Web of Knowledge, MEDLINE, PubMed, Scopus, and Google Scholar databases (updated April 2020), using appropriate or relevant keywords. Case-control population-based reports were included if provided with genotypic frequencies of both studied groups. Statistical analyses were performed using the MetaGenyo web tool software, where a P value less than 0.05 indicated a significant association. For the assessment of between-study variations, heterogeneity analysis was applied with the I(2) statistics. Results: A total of thirteen studies were included. We observed a significant association between IL‐1β−31T>C polymorphism and reduced risk of gestational disorders under codominant CT vs. CC [OR= 0.74, CI (0.59-0.92)], and dominant CT+TT vs. CC [OR= 0.74, CI (0.60-0.91)] contrasted genetic models. The stratified analysis considering the disease type showed that the 511C>T variant, under the recessive CC vs. CT+TT model, enhanced the risk of preterm birth by 1.29 fold. Conclusion: Our results failed to support an association between two IL‐1β polymorphisms, 511C>T and +3954C>T, with the overall risk of gestational disorders. In contrast, the 31T>C variant reduced the incidence of such diseases. Further studies are encouraged to get more precise estimates of effect sizes. Iran University of Medical Sciences 2021-02-17 /pmc/articles/PMC8214042/ /pubmed/34169037 http://dx.doi.org/10.47176/mjiri.35.25 Text en © 2021 Iran University of Medical Sciences https://creativecommons.org/licenses/by-nc-sa/1.0/This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Review Article
Harati-Sadegh, Mahdiyeh
Sargazi, Saman
Taheri, Hamed
Arbabi, Narges
Saravani, Ramin
Mirinejad, Shekoufeh
Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis
title Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis
title_full Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis
title_fullStr Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis
title_full_unstemmed Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis
title_short Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis
title_sort relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: an updated meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214042/
https://www.ncbi.nlm.nih.gov/pubmed/34169037
http://dx.doi.org/10.47176/mjiri.35.25
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