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肠道微生物群与IgA肾病之间的因果关系:来自孟德尔随机化和微生物组验证的证据

Causal relationships between gut microbiota and IgA nephropathy: evidence from Mendelian randomization and microbiome validation.

作者信息

Wang Xin, Liu Jiong, Huoshen Wuda, Liu Jing, Qiao Xue, Zhang Hong, Zhou Xu-Jie

机构信息

Renal Division, Peking University First Hospital, Beijing, China.

Kidney Genetics Center, Peking University Institute of Nephrology, Beijing, China.

出版信息

Ren Fail. 2025 Dec;47(1):2522979. doi: 10.1080/0886022X.2025.2522979. Epub 2025 Jun 25.

Abstract

BACKGROUND

Emerging evidence links gut microbiota strongly with IgA Nephropathy (IgAN). However, the causal role of specific gut microbiota in IgAN remains unclear. This study used a two-sample Mendelian randomization (MR) approach, validated with 16S rRNA datasets, to identify these causal relationships.

METHODS

We performed MR analysis using genetic instruments for 412 gut microbiota taxa from genome-wide association studies (GWAS) as exposures and IgAN GWAS data as outcomes. The inverse-variance weighted method was used as the primary analysis, supplemented by MR-Egger regression, weighted median methods, and Cochran's Q test to assess pleiotropy and heterogeneity. Significant findings were validated using reverse, multivariable, and mediation MR analyses. Results were validated using genus-level 16S rRNA datasets with batch correction (ConQuR), and microbial function was inferred PICRUSt2.

RESULTS

Three gut microbiota species were protective against IgAN: (OR = 0.64,  = .002), (OR = 0.75,  = .040), and (OR = 0.68,  = .040). Six species were associated with increased IgAN risk, including (OR = 1.32,  = .030) and (OR = 1.52,  = .040). After multiple-testing correction, significant associations persisted for ( = .043), ( = .035), and ( = .002). Sensitivity analyses confirmed robust results without pleiotropy or heterogeneity. Genus-level validation confirmed consistent microbial shifts. Functional predictions showed upregulation of carbohydrate/fatty acid metabolism and downregulation of the urea cycle.

CONCLUSIONS

This study reveals specific gut microbes and metabolic pathways potentially driving IgAN, offering novel biomarkers and therapeutic targets for microbiome-based interventions.

摘要

背景

越来越多的证据表明肠道微生物群与IgA肾病(IgAN)密切相关。然而,特定肠道微生物群在IgAN中的因果作用仍不清楚。本研究采用两样本孟德尔随机化(MR)方法,并结合16S rRNA数据集进行验证,以确定这些因果关系。

方法

我们使用全基因组关联研究(GWAS)中412种肠道微生物分类群的遗传工具作为暴露因素,IgAN的GWAS数据作为结果进行MR分析。采用逆方差加权法作为主要分析方法,并辅以MR-Egger回归、加权中位数法和Cochran's Q检验来评估多效性和异质性。使用反向、多变量和中介MR分析对显著结果进行验证。结果使用经过批次校正(ConQuR)的属水平16S rRNA数据集进行验证,并通过PICRUSt2推断微生物功能。

结果

三种肠道微生物对IgAN具有保护作用:(比值比=0.64,P=0.002),(比值比=0.75,P=0.040),以及(比值比=0.68,P=0.040)。六种微生物与IgAN风险增加相关,包括(比值比=1.32,P=0.030)和(比值比=1.52,P=0.040)。经过多重检验校正后,(P=0.043)、(P=0.035)和(P=0.002)的显著关联仍然存在。敏感性分析证实了结果的稳健性,不存在多效性或异质性。属水平验证证实了一致微生物变化。功能预测显示碳水化合物/脂肪酸代谢上调,尿素循环下调。

结论

本研究揭示了可能驱动IgAN的特定肠道微生物和代谢途径,为基于微生物群的干预提供了新的生物标志物和治疗靶点。

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