PLA2R1 和 HLA DQA1 基因的 10 个多态性与原发性膜性肾病风险的关系:一项 Meta 分析和一项 Meta 回归。

IF 3.4 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Biomarker Insights Pub Date : 2024-06-10 eCollection Date: 2024-01-01 DOI:10.1177/11772719241259602
Tarak Dhaouadi, Awatef Riahi, Taïeb Ben Abdallah, Yousr Gorgi, Imen Sfar
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引用次数: 0

摘要

背景:尽管已有多项研究评估了磷脂酶A2受体(PLA2R)和HLA-DQA1 SNPs与原发性膜性肾病(PMN)的相关性,但结果并不一致,而且需要调查研究间的异质性:本综述旨在总结 PLA2R 和 HLA-DQA1 基因中 10 个 SNPs 对原发性膜性肾病易感性影响的现有数据,并通过亚组分析和元回归研究不同研究之间的异质性:本研究根据系统综述和荟萃分析的PRISMA指南进行:通过PubMed、EMBASE、Web of science和Scopus数据库对2024年1月10日之前发表的所有论文中符合条件的研究进行了电子文献检索。针对以下 10 个 SNPs 进行了元分析、亚组分析和元回归:rs4664308、rs3749117、rs3749119、rs35771982、rs3828323、rs16844715、rs1511223、rs6757188、rs2715918 和 rs2187668:综合分析显示,以下等位基因会显著增加 PMN 风险:rs4664308*A、rs3749117*T、rs3749119*C、rs35771982*G、rs3828323*C、rs16844715*C、rs1511223*A、rs2715918*A 和 rs2187668*A,所有 P 值均为 P = .007。此外,元回归显示,大多数被研究的 SNPs 的效应大小与白蛋白、24 小时蛋白尿、血清肌酐和 eGFR 水平有显著相关性。因此,PLA2R 和 HLA-DQA1 SNPs 对 PMN 风险的影响在重症患者中更为明显:这项荟萃分析表明,PLA2R 和 HLA-DQA1 基因的 10 个 SNPs 中,有 9 个与 PMN 风险增加有关。异质性可能是由于几乎所有SNPs的疾病表现和HLA-DQA1 rs2187668 SNP的种族不同造成的:本综述已在 PROSPERO 上注册:CRD42024506729。可从以下网址获取:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024506729。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of 10 Polymorphisms in PLA2R1 and HLA DQA1 Genes with Primary Membranous Nephropathy Risk: A Meta-Analysis and a Meta-Regression.

Background: Although, several studies have assessed the association of the phospholipase A2 receptor (PLA2R) and HLA-DQA1 SNPs with primary membranous nephropathy (PMN), results were inconsistent and between-studies heterogeneity needs to be investigated.

Objectives: The aim of this review was to summarize existing data on the contribution of 10 SNPs in the PLA2R and HLA-DQA1 genes to PMN susceptibility and to investigate the between-studies heterogeneity by subgroup analyses and meta-regressions.

Design: This study was performed according to the PRISMA guidelines for systematic reviews and meta-analyses.

Data sources and methods: An electronic literature search for eligible studies among all papers published prior to January 10, 2024, was conducted through PubMed, EMBASE, Web of science and Scopus databases. Meta-analyses together with subgroup analyses and meta-regressions were performed for the 10 following SNPs: rs4664308, rs3749117, rs3749119, rs35771982, rs3828323, rs16844715, rs1511223, rs6757188, rs2715918, and rs2187668.

Results: Combined analyses revealed a significant increase in PMN risk conferred by the following alleles: rs4664308*A, rs3749117*T, rs3749119*C, rs35771982*G, rs3828323*C, rs16844715*C, rs1511223*A, rs2715918*A, and rs2187668*A, all P-values < .001. Moreover, the PLA2R-rs4664308/HLA-DQA1-rs2187668 interaction was significantly associated with an increased PMN risk, P < .001. However, there was a substantial between-studies heterogeneity for some SNPs. Subgroup analyses by ethnicity for the 9 PLA2R SNPs did not show any cross-ethnic disparity. Inversely, the risk conferred by the HLA-DQA1 rs2187668*A allele was significantly higher in Caucasians (OR [95% CI] = 3.929 [3.251-4.748]) than in Asians (OR [95% CI] = 2.537 [1.94-3.318], P = .007. Besides, meta-regressions revealed for the majority of investigated SNPs significant correlations of the effect size with albumin, 24-hours proteinuria, serum creatinine, and eGFR levels. Hence, the influence on PMN risk conferred by the PLA2R and HLA-DQA1 SNPs was rather noted in patients with a severe disease.

Conclusion: This meta-analysis showed that 9 out of the 10 investigated SNPs in PLA2R and HLA-DQA1 genes were associated with increased PMN risk. Heterogeneity could be due to disparate patient groups in terms of disease presentation for almost all SNPs, and ethnicity for the HLA-DQA1 rs2187668 SNP.

Registration: This review has been registered on PROSPERO: CRD42024506729. Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024506729.

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来源期刊
Biomarker Insights
Biomarker Insights MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.00
自引率
0.00%
发文量
26
审稿时长
8 weeks
期刊介绍: An open access, peer reviewed electronic journal that covers all aspects of biomarker research and clinical applications.
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