Uncovering Predictive Factors and Interventions for Restoring Microecological Diversity after Antibiotic Disturbance.

ABSTRACT: Antibiotic treatment can lead to a loss of diversity of gut microbiota and may adversely affect gut microbiota composition and host health. Previous studies have indicated that the recovery of gut microbes from antibiotic-induced disruption may be guided by specific microbial species. We expect to predict recovery or non-recovery using these crucial species or other indices after antibiotic treatment only when the gut microbiota changes. This study focused on this prediction problem using a novel ensemble learning framework to identify a set of common and reasonably predictive recovery-associated bacterial species (p-RABs), enabling us to predict the host microbiome recovery status under broad-spectrum antibiotic treatment. Our findings also propose other predictive indicators, suggesting

SUBMITTER: Chen J 

PROVIDER: S-EPMC10536327 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature