Lixin Zhu

The paper systematically identifies secondary bile acid production genes across microbial genomes and highlights their associations with diseases.

The paper compares microbiota and metabolome profiles of quiescent Crohn's disease patients with their healthy first-degree relatives to identify biomarkers associated with disease relapse.

The paper identifies eight keystone species in NAFLD gut microbiota using causal inference and dynamic intervention modeling, which can restore microbial composition toward a normal state.

This study develops a drug repositioning platform by integrating anti-fibrosis knowledge and machine learning models to identify potential drugs for fibrosis treatment.