Investigation of the linkage between TNF-alfa rs1800629 polymorphism and preeclampsia risk: A meta-analysis

Md Shafiul Hossen; Md Abdul Aziz; Md Abdul Barek; Mohammad Safiqul Islam

doi:10.1016/j.cyto.2024.156499

Investigation of the linkage between TNF-alfa rs1800629 polymorphism and preeclampsia risk: A meta-analysis

Cytokine. 2024 Mar:175:156499. doi: 10.1016/j.cyto.2024.156499. Epub 2024 Jan 10.

Authors

Md Shafiul Hossen¹, Md Abdul Aziz², Md Abdul Barek², Mohammad Safiqul Islam³

Affiliations

¹ Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh; Laboratory of Pharmacogenomics and Molecular Biology, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh.
² Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh; Laboratory of Pharmacogenomics and Molecular Biology, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh; Bangladesh Pharmacogenomics Research Network (BdPGRN), Bangladesh.
³ Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh; Laboratory of Pharmacogenomics and Molecular Biology, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh; Bangladesh Pharmacogenomics Research Network (BdPGRN), Bangladesh. Electronic address: research_safiq@yahoo.com.

PMID: 38199085
DOI: 10.1016/j.cyto.2024.156499

Abstract

Background: Preeclampsia is a serious medical condition that significantly affects expectant mothers. Growing research showed an inconsistent association between TNF-alfa rs1800629 polymorphism and preeclampsia. The current meta-analysis was aimed at examining the potential impact of rs1800629 variant on preeclampsia.

Methods: The Cochrane Library, Google Scholar, PubMed, EMBASE, Web of Science, and other databases were searched extensively to locate and select articles up to October 30, 2023. The PRISMA 2020 recommendations were followed to perform this study. Data analysis was done by using Comprehensive Meta analysis (v 3).

Results: We have included 32 articles containing 35 studies with 3,883 patients and 5,821 controls for qualitative and quantitative data analysis. We found a strong relationship between rs1800629 variant with the increased preeclampsia risk in co-dominant model 1 (OR = 1.33, p = 0.019), co-dominant model 2 (OR = 1.43, p = 0.014), dominant model (OR = 1.25, p = 0.044), over-dominant model (OR = 1.31, p = 0.021), and allelic model (OR = 1.24, p = 0.018). This study also revealed a significantly higher risk among the Asian population in the dominant (OR = 2.31, p = 0.036) and allelic model (OR = 2.02, p = 0.028). For the Caucasian population, an increased association between the rs1800629 variant and preeclampsia risk was reported in co-dominant model 1 (OR = 1.37, p = 0.011), co-dominant model 2 (OR = 1.77, p = 0.007), dominant model (OR = 1.32, p = 0.030), recessive (OR = 1.50, p = 0.047), over-dominant (OR = 1.34, p = 0.009), and allelic model (OR = 1.32, p = 0.004). Though our study showed the protective link of the TNF-alfa polymorphism to the preeclampsia risk among the Black population, no significant outcomes were observed in any genetic models (p > 0.05).

Conclusion: Overall, the present meta-analysis explored a consistent linkage of the TNF-alfa rs1800629 variant to the preeclampsia risk in different ethnic groups. Additional research is required to confirm the precise relationship between the rs1800629 variant and preeclampsia risk.

Keywords: Meta-analysis; Polymorphism; Preeclampsia; Rs1800629; TNF-alfa.

Publication types

Meta-Analysis
Review

MeSH terms

Ethnicity
Female
Genetic Predisposition to Disease*
Humans
Polymorphism, Single Nucleotide
Pre-Eclampsia* / genetics
Tumor Necrosis Factor-alpha* / genetics

Substances

Tumor Necrosis Factor-alpha