Assessing the causal relationship between gut microbiota and diabetic nephropathy: insights from two-sample Mendelian randomization

The causal association between gut microbiota (GM) and the development of diabetic nephropathy (DN) remains uncertain. We sought to explore this potential association using two-sample Mendelian randomization (MR) analysis. Genome-wide association study (GWAS) data for GM were obtained from the MiBio...

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Bibliographic Details
Published in:Frontiers in endocrinology (Lausanne) 2024-03, Vol.15, p.1329954-1329954
Main Authors: Fang, Yipeng, Zhang, Yunfei, Liu, Qian, Zheng, Zenan, Ren, Chunhong, Zhang, Xin
Format: Article
Language:English
Subjects:
causal inference
diabetic kidney disease
Endocrinology
eubacterium
intestinal flora
Mendelian randomization
MiBioGen
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Summary:The causal association between gut microbiota (GM) and the development of diabetic nephropathy (DN) remains uncertain. We sought to explore this potential association using two-sample Mendelian randomization (MR) analysis. Genome-wide association study (GWAS) data for GM were obtained from the MiBioGen consortium. GWAS data for DN and related phenotypes were collected from the FinngenR9 and CKDGen databases. The inverse variance weighted (IVW) model was used as the primary analysis model, supplemented by various sensitivity analyses. Heterogeneity was assessed using Cochran's Q test, while horizontal pleiotropy was evaluated through MR-Egger regression and the MR-PRESSO global test. Reverse MR analysis was conducted to identify any reverse causal effects. Our analysis identified twenty-five bacterial taxa that have a causal association with DN and its related phenotypes (p < 0.05). Among them, only the showed a significant causal association with type 1 DN (p < Bonferroni-adjusted p-value). Our findings remained consistent regardless of the analytical approach used, with all methods indicating the same direction of effect. No evidence of heterogeneity or horizontal pleiotropy was observed. Reverse MR analysis did not reveal any causal associations. This study established a causal association between specific GM and DN. Our findings contribute to current understanding of the role of GM in the development of DN, offering potential insights for the prevention and treatment strategies for this condition.
ISSN:1664-2392
1664-2392
DOI:10.3389/fendo.2024.1329954