Investigation of the underlying mechanism of rifampicin-induced hepatotoxicity and neurotoxicity in mice by untargeted metabolomics and gut microbiota approach

Rifampicin (RIF) remains a first-line antituberculosis agent. However, its usefulness is limited by its hepatotoxicity and potential neurotoxicity. The aim of this study was to investigate the association between dysbiosis of gut microbiota and dysregulation of liver and brain metabolites in mice induced by treatment with RIF. Microbiota analysis (16S rRNA gene sequencing) using fecal samples and untargeted metabolomic analysis using liver and brain tissues were performed to investigate the mechanism in RIF-induced hepatotoxicity and neurotoxicity. A total of 32 and 27 metabolites were altered in the liver and brain of mice, respectively. Based on the gut microbiota analysis, Proteobacteria and Verrucomicrobia (at the phylum level), as well as Akkermansia, Allobaculum, and Lactobacillus (at the genus level) were markedly changed in the 240 mg/kg RIF group versus the controls. The pathway analysis indicated that energy metabolism and important nutrients metabolism were disrupted, leading to inflammatory response and oxidative stress. To our knowledge, this is the first study demonstrating an alteration of gut microbiota and metabolites in the liver and brain of mice after exposure to RIF. This evidence may provide a direction for investigating the mechanism underlying the hepatotoxicity and neurotoxicity induced by treatment with RIF.

Authors

Institutions

Publication Details

Journal
Toxicology Mechanisms and Methods
Published
2026-02-24
DOI
https://doi.org/10.1080/15376516.2026.2632678
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the underlying mechanism of rifampicin-induced hepatotoxicity and neurotoxicity in mice by untargeted metabolomics and gut microbiota approach

Lina Tao, Jiuli Yuan, Xiaoyu Qu, Yanjiao Li et al.
Toxicology Mechanisms and Methods
Gut microbiota and health
article

Investigation of the underlying mechanism of rifampicin-induced hepatotoxicity and neurotoxicity in mice by untargeted metabolomics and gut microbiota approach

Lina Tao, Jiuli Yuan, Xiaoyu Qu, Yanjiao Li, Wei Zhou
article en

Abstract

Rifampicin (RIF) remains a first-line antituberculosis agent. However, its usefulness is limited by its hepatotoxicity and potential neurotoxicity. The aim of this study was to investigate the association between dysbiosis of gut microbiota and dysregulation of liver and brain metabolites in mice induced by treatment with RIF. Microbiota analysis (16S rRNA gene sequencing) using fecal samples and untargeted metabolomic analysis using liver and brain tissues were performed to investigate the mechanism in RIF-induced hepatotoxicity and neurotoxicity. A total of 32 and 27 metabolites were altered in the liver and brain of mice, respectively. Based on the gut microbiota analysis, Proteobacteria and Verrucomicrobia (at the phylum level), as well as Akkermansia, Allobaculum, and Lactobacillus (at the genus level) were markedly changed in the 240 mg/kg RIF group versus the controls. The pathway analysis indicated that energy metabolism and important nutrients metabolism were disrupted, leading to inflammatory response and oxidative stress. To our knowledge, this is the first study demonstrating an alteration of gut microbiota and metabolites in the liver and brain of mice after exposure to RIF. This evidence may provide a direction for investigating the mechanism underlying the hepatotoxicity and neurotoxicity induced by treatment with RIF.

Toxicology Mechanisms and Methods
Jilin University (CN), First Hospital of Jilin University (CN)
Openalex Percentile: Top 42%
Gut microbiota and health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.