Gut microbiota as a predictive tool for outcomes in IgA nephropathy

肠道菌群作为IgA肾病预后的预测工具

阅读:1

Abstract

Immunoglobulin A nephropathy (IgAN) is characterized by the deposition of glycosylation-deficient IgA1 in the glomeruli and has been linked to the gut-kidney axis. This study aimed to determine if baseline differences in gut microbiota could predict therapeutic responses in IgAN patients. We analyzed fecal microbiomes of 55 biopsy-confirmed IgAN patients and followed them for over 6 months. Patients were classified as responders (n = 39) or nonresponders (n = 16) based on remission status. Fecal microbiomes were profiled using 16S rRNA sequencing, revealing significant microbiota differences. Nonresponders had increased Proteobacteria and Firmicutes, with notable enrichment of opportunistic bacteria like Escherichia-Shigella and Pseudomonas. A predictive classifier based on 24 amplicon sequence variants, with Escherichia-Shigella and Pseudomonas as key contributors, showed high accuracy in identifying nonresponders (AUC 0.9103, p < 0.0001). These findings highlight the role of microbial dysbiosis in IgAN progression and treatment response, suggesting that gut microbiota analysis could guide personalized therapy for IgAN. Future studies with larger cohorts are needed to validate these results and explore microbiome-based treatments.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。