Xianfeng Zeng

The paper shows that modifying microbial community composition, specifically overexpressing bile acid metabolic genes in Lactobacillus strains, can alter bile acid pool size and composition in mice.

The paper uses a single-strain dropout screen in a defined microbial community to show how removing specific strains affects community composition and metabolic output.

This study identifies PTER as the taurine N-acetyltransferase/hydrolase, showing its role in regulating N-acetyltaurine levels and linking it to energy balance and metabolic phenotypes.

The paper quantifies nutrient preferences of gut bacteria in mice using isotope tracing and finds dietary fiber, protein, and host-derived metabolites drive microbial growth.

The paper introduces NetID, a global network optimization method for annotating untargeted metabolomics data, identifying novel metabolites in yeast and mouse datasets.

This study quantifies metabolic fluxes of circulating metabolites in mice using isotope tracing and mass spectrometry to identify major metabolic cycles and their tissue-specific contributions.