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Associations between tumor necrosis factor-α and interleukin-6 polymorphisms and unexplained recurrent spontaneous abortion risk

Authors :
Meirong He
Yunlu Ping
Xiaoxuan Zhao
Hongwei Guo
Yuepeng Jiang
Xiaoling Feng
Source :
Medicine
Publication Year :
2019
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2019.

Abstract

To evaluate the associations between Tumor necrosis factor-α (TNF-α)(-238G>A) and Interleukin-6 (IL-6)(-174G>C) polymorphism and risk of unexplained recurrent spontaneous abortion (URSA). Correlated case-control studies were collected by computer retrieval. A meta-analysis was conducted by Stata 12.0 software to analysis the strength of association between polymorphism of TNF-α -238G>A and IL-6 -174G>C and URSA. Twenty-one articles with twenty-two studies were included, of which 12 and 10 studies were respectively related to mutation of TNF-α -238G>A, IL-6 -174G>C and URSA. The integrated results showed that the TNF-α-238G>A gene mutation was significantly correlated with the risk of URSA under homozygote model (AA vs GG;OR 1.533,95% CI 1.022–2.301) and recessive model (AA vs GG+AG;OR 1.571,95%CI 1.050–2.350)(P A under heterozygote model (AG vs GG;OR 0.963,95% CI 0.816–1.137), dominant model (AA+AG vs GG; OR 1.031,95%CI 0.880–1.209) and additive model (A vs G;OR 1.046,95%CI 0.909–1.203)(P > .05). The results of subgroup analysis based on ethnicity showed that -238G>A was significantly correlated with the risk of URSA in Asians under all gene models except for heterozygote model (AG vs GG; OR 1.129,95% CI 0.857–1.487) (P C and URSA under all gene models (P .05), which is identical to subgroup analysis based on ethnicity. It is of great guiding significance for screening out and preventing URSA among high-risk women to test on TNF-α -238G>A and IL-6 -174G>C under gene models mentioned above which are highly associated with the risk of URSA, which can act as biological markers for URSA.

Details

ISSN :
15365964 and 00257974
Volume :
98
Database :
OpenAIRE
Journal :
Medicine
Accession number :
edsair.doi.dedup.....3b16fe2c2eef805717686777dd054e88