Characteristics of gut microbiota and metabolites in patients with metabolic dysfunction-associated steatotic liver disease and colorectal adenoma

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become one of the most prevalent chronic liver conditions worldwide, with its incidence steadily rising. However, the underlying mechanisms linking MASLD to colorectal adenoma remain unclear, and the role of gut microbiota and metabolites in this association requires further investigation. This study aims to characterise the gut microbiota and metabolites in patients with MASLD and colorectal adenoma. A cohort of 58 MASLD patients was enrolled and stratified into two groups based on colorectal adenoma status: the MASLD with colorectal adenoma group (M-CA group, n = 30) and the MASLD without colorectal adenoma group (M-NCA group, n = 28). The gut microbial ecosystem in the M-CA group showed significant dysregulation, evidenced by a decreased Gut Microbiome Health Index (GMHI) and significantly increased Microbiome Dysbiosis Index (MDI). Linear Discriminant Analysis Effect Size (LEfSe) identified 75 differentially abundant microbial taxa between groups, with Bacteroides vulgatus, Bacteroides ovatus, uncultured bacterium of norank genus of Muribaculaceae family, Muribaculaceae, and norank of Muribaculaceae family being significantly enriched in the M-CA group, representing potential microbial biomarkers for this cohort. Partial Least Squares Discriminant Analysis (PLS-DA) screened 116 differential metabolites. When combined with Random Forest (RF), Support Vector Machine (SVM) and Least Absolute Shrinkage and Selection Operator (LASSO) machine learning algorithms, 16 significantly identified biomarkers were discovered. The joint analysis of both omics revealed that variations in differential metabolite levels were associated with changes in specific microbiota abundances. Kyoto encyclopedia of genes and genomes (KEGG) functional prediction analysis indicated that the coordinated alterations in metabolites and microbiota may collectively influence multiple metabolic pathways, including lipid metabolism, xenobiotics biodegradation and metabolism, amino acid metabolism, carbohydrate metabolism, biosynthesis of other secondary metabolites and nucleotide metabolism. This study revealed that patients with MASLD and colorectal adenoma exhibited significant alterations in the gut microbiota composition and metabolic profile, indicating potential impacts on associated metabolic pathways. These findings provided novel insights and a foundation for future research into potential intervention strategies for this clinical complication.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-27
DOI
https://doi.org/10.1038/s41598-026-45782-w
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

Characteristics of gut microbiota and metabolites in patients with metabolic dysfunction-associated steatotic liver disease and colorectal adenoma

Mengyao Zheng, Xuancheng Xie, Ming Zhao, Zhao Xiang et al.
Scientific Reports
Gut microbiota and health
article

Characteristics of gut microbiota and metabolites in patients with metabolic dysfunction-associated steatotic liver disease and colorectal adenoma

Mengyao Zheng, Xuancheng Xie, Ming Zhao, Zhao Xiang, jinhui yang, Ying Zhou, Wen Fu, Yuting Li, Weibo Guo
article en

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become one of the most prevalent chronic liver conditions worldwide, with its incidence steadily rising. However, the underlying mechanisms linking MASLD to colorectal adenoma remain unclear, and the role of gut microbiota and metabolites in this association requires further investigation. This study aims to characterise the gut microbiota and metabolites in patients with MASLD and colorectal adenoma. A cohort of 58 MASLD patients was enrolled and stratified into two groups based on colorectal adenoma status: the MASLD with colorectal adenoma group (M-CA group, n = 30) and the MASLD without colorectal adenoma group (M-NCA group, n = 28). The gut microbial ecosystem in the M-CA group showed significant dysregulation, evidenced by a decreased Gut Microbiome Health Index (GMHI) and significantly increased Microbiome Dysbiosis Index (MDI). Linear Discriminant Analysis Effect Size (LEfSe) identified 75 differentially abundant microbial taxa between groups, with Bacteroides vulgatus, Bacteroides ovatus, uncultured bacterium of norank genus of Muribaculaceae family, Muribaculaceae, and norank of Muribaculaceae family being significantly enriched in the M-CA group, representing potential microbial biomarkers for this cohort. Partial Least Squares Discriminant Analysis (PLS-DA) screened 116 differential metabolites. When combined with Random Forest (RF), Support Vector Machine (SVM) and Least Absolute Shrinkage and Selection Operator (LASSO) machine learning algorithms, 16 significantly identified biomarkers were discovered. The joint analysis of both omics revealed that variations in differential metabolite levels were associated with changes in specific microbiota abundances. Kyoto encyclopedia of genes and genomes (KEGG) functional prediction analysis indicated that the coordinated alterations in metabolites and microbiota may collectively influence multiple metabolic pathways, including lipid metabolism, xenobiotics biodegradation and metabolism, amino acid metabolism, carbohydrate metabolism, biosynthesis of other secondary metabolites and nucleotide metabolism. This study revealed that patients with MASLD and colorectal adenoma exhibited significant alterations in the gut microbiota composition and metabolic profile, indicating potential impacts on associated metabolic pathways. These findings provided novel insights and a foundation for future research into potential intervention strategies for this clinical complication.

Scientific Reports
Central South University (CN), Kunming Medical University (CN), Xishuangbanna Tropical Botanical Garden (CN), First People's Hospital of Yunnan Province (CN), Public Health Clinical Center of Chengdu (CN), Third Xiangya Hospital (CN)
Good health and well-being
Openalex Percentile: Top 6%
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.