Gut and respiratory microbiota landscapes in IgA nephropathy: a cross-sectional study.

ABSTRACT:

Background

IgA nephropathy (IgAN) is intimately linked to mucosal immune responses, with nasopharyngeal and intestinal lymphoid tissues being crucial for its abnormal mucosal immunity. The specific pathogenic bacteria in these sites associated with IgAN, however, remain elusive. Our study employs 16S rRNA sequencing and machine learning (ML) approaches to identify specific pathogenic bacteria in these locations and to investigate common pathogens that may exacerbate IgAN.

Methods

In this cross-sectional analysis, we collected pharyngeal swabs and stool specimens from IgAN patients and healthy controls. We applied 16SrRNA sequencing to identify differential microbial populations. ML algorithms were then used to classify IgAN based on these microbial differences. Spearman corr

SUBMITTER: Yuan X 

PROVIDER: S-EPMC11385635 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature