Microbiome–host gene interactions: Role of Bifidobacterium metabolites in obesity

Background: The gut microbiome (GM) plays a critical role in regulating host metabolism, and its dysbiosis has been closely associated with obesity. This study investigated how Bifidobacterium-derived metabolites influence obesity-related molecular pathways through host–gene interactions. Twenty-eight bioactive metabolites of Bifidobacterium were retrieved from the gutMGene database and analyzed using SwissTargetPrediction. Cross-comparison with 10,019 obesity-associated genes from GeneCards revealed 226 overlapping targets. Network and hub-gene analyses using STRING and Cytoscape (CytoHubba plugin) identified six key regulatory nodes: EGFR, PPARG, ESR1, STAT3, PTGS2, and TLR4. Functional enrichment indicated significant involvement of these genes in lipid metabolism, inflammatory signaling, and insulin resistance (adjusted p < 0.05). The results provide quantitative evidence supporting the role of Bifidobacterium-derived metabolites in modulating host metabolic networks implicated in obesity. These findings suggest that specific bacterial metabolites may serve as candidate molecules for obesity-targeted drug repurposing. Further experimental and clinical validation are warranted to clarify their mechanistic effects and translational potential.

Authors

Institutions

Publication Details

Journal
Microbes and Infectious Diseases /Microbes and Infectious Diseases
Published
2025-11-03
DOI
https://doi.org/10.21608/mid.2025.424260.3226
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

Microbiome–host gene interactions: Role of Bifidobacterium metabolites in obesity

Sarvesh Sabarathinam, Arun Raja, Nila Ganamurali, Aishwarya PM
Microbes and Infectious Diseases /Microbes and Infectious Diseases
Gut microbiota and health
article

Microbiome–host gene interactions: Role of Bifidobacterium metabolites in obesity

Sarvesh Sabarathinam, Arun Raja, Nila Ganamurali, Aishwarya PM
article en

Abstract

Background: The gut microbiome (GM) plays a critical role in regulating host metabolism, and its dysbiosis has been closely associated with obesity. This study investigated how Bifidobacterium-derived metabolites influence obesity-related molecular pathways through host–gene interactions. Twenty-eight bioactive metabolites of Bifidobacterium were retrieved from the gutMGene database and analyzed using SwissTargetPrediction. Cross-comparison with 10,019 obesity-associated genes from GeneCards revealed 226 overlapping targets. Network and hub-gene analyses using STRING and Cytoscape (CytoHubba plugin) identified six key regulatory nodes: EGFR, PPARG, ESR1, STAT3, PTGS2, and TLR4. Functional enrichment indicated significant involvement of these genes in lipid metabolism, inflammatory signaling, and insulin resistance (adjusted p < 0.05). The results provide quantitative evidence supporting the role of Bifidobacterium-derived metabolites in modulating host metabolic networks implicated in obesity. These findings suggest that specific bacterial metabolites may serve as candidate molecules for obesity-targeted drug repurposing. Further experimental and clinical validation are warranted to clarify their mechanistic effects and translational potential.

Microbes and Infectious Diseases /Microbes and Infectious DiseasesVol. 0(0)
Sree Balaji Dental College and Hospital (IN), Vinayaka Missions Medical College and Hospitals (IN), Saveetha University (IN)
Openalex Percentile: Top 71%
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.