Related Experiment Video
Updated: Sep 15, 2025

Analysis of Fecal Microbiota Dynamics in Lupus-Prone Mice Using a Simple, Cost-Effective DNA Isolation Method
Published on: May 2, 2022
Multi-omics analysis reveals gut microbiota-metabolite interactions and their association with liver function in
Qi Wang1,2,3,4,5, Li-Na Sun1,2,3,4, Han Shi1,2,3,4
1Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
Background:
Autoimmune liver diseases, including primary biliary cholangitis (PBC), autoimmune hepatitis (AIH), and their overlap syndrome (OS), involve immune-mediated liver injury, with OS occurring in 1.2%-25% of PBC patients. OS carries a higher risk of cirrhosis, hepatocellular carcinoma, and reduced survival. While its pathogenesis remains unclear, gut microbiota dysbiosis and serum metabolite alterations may play key roles. This study uses 16S rRNA sequencing and liquid chromatography-mass spectrometry (LC-MS) metabolomics to compare gut microbiota and serum metabolites among PBC, AIH, and OS patients, and explores their associations with liver function.
Aim:
To differentiate OS from PBC and AIH based on gut microbiota, serum metabolites, and liver function.
Methods:
Gut microbiota profiles were analyzed using 16S rRNA sequencing, while untargeted serum metabolomics was conducted via LC-MS. Comparative analyses were performed to identify differences in microbial composition and serum metabolite levels among PBC, AIH, and OS groups. Correlation analyses and network visualization techniques were applied to elucidate the interactions among liver function parameters, gut microbiota, and serum metabolites in OS patients.
Results:
Compared to patients with PBC or AIH, OS patients demonstrated significantly reduced microbial diversity and richness. Notable taxonomic shifts included decreased abundances of Firmicutes, Bacteroidetes, and Actinobacteria, alongside increased levels of Proteobacteria and Verrucomicrobia. Distinct serum metabolites, such as pentadecanoic acid and aminoimidazole carboxamide ribonucleotide, were identified in OS patients. Correlation analysis revealed that aspartate aminotransferase (AST) levels were negatively associated with the bacterial genus Fusicatenibacter and the metabolite L-Tyrosine. A microbial-metabolite network diagram further confirmed a strong association between Fusicatenibacter and L-Tyrosine in OS patients.
Conclusion:
OS patients show decreased gut microbiota diversity and unique serum metabolites. Multi-omics linked AST, Fusicatenibacter, and L-Tyrosine, revealing OS mechanisms and diagnostic potential.
More Related Videos
11:22Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
09:52A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
Published on: January 10, 2025
Related Concept Videos
Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy
Diagnostic studies
A colonoscopy is the definitive screening test, distinguishing ulcerative colitis from other colon diseases with similar symptoms. During a colonoscopy test, inflamed mucosa with exudate ulcerations can be observed, and biopsies are taken to determine the histologic characteristics of the...
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...