A microbiota–substrate–metabolite–target network suggests AKT1-associated links between gut microbiota-derived metabolites and osteoporosis

OBJECTIVE: To build a computational, hypothesis-generating framework that links gut microbiota-related metabolites with osteoporosis (OP) while retaining upstream microbial source and substrate information, and to prioritize candidate host targets, pathways, and modules for subsequent testing. METHODS: Metabolites and human intestinal host targets were obtained from gutMGene and structures from PubChem; candidate targets were predicted with SEA and SwissTargetPrediction, and osteoporosis targets from CTD, GeneCards, and OMIM. Shared targets were analyzed by protein-protein interaction networks, GO and KEGG enrichment, a layered microbiota-substrate-metabolite-target network, ADMET profiling, and molecular docking. The candidate hubs were further tested for differential expression in three independent human Gene Expression Omnibus (GEO) datasets. RESULTS: Forty-eight shared targets were identified, with TP53, AKT1, IL6, TNF, and IL1B among the most connected candidate hubs and no single target dominant across complementary centrality metrics. The layered network comprised 121 nodes and 150 edges and yielded 479 directed candidate paths-a graph-theoretical enumeration of layered connectivity rather than independently validated chains-highlighting tryptophan-indole and flavonoid modules. Independently, AKT1 and TP53 were upregulated in osteoporotic bone-marrow mesenchymal stem cells (log2FC 1.59 and 1.55; FDR 0.0099 and 0.037), whereas hub expression was weak or heterogeneous in circulating immune cells, and docking offered only qualitative structural plausibility. CONCLUSION: The source-preserving M-S-M-T framework prioritizes candidate multi-target links between gut microbiota-derived metabolites and OP-related inflammatory and bone-remodeling pathways, with AKT1 as one, rather than the unique, candidate signaling hub; independent transcriptomic data provide convergent but cell-type-specific support, and functional validation remains required.

Authors

Institutions

Publication Details

Journal
International Microbiology
Published
2026-09-23
DOI
https://doi.org/10.1007/s10123-026-00899-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

A microbiota–substrate–metabolite–target network suggests AKT1-associated links between gut microbiota-derived metabolites and osteoporosis

Wenxing Zeng, Yitao Liao, Xuanyu Xie, Zhichao Qin et al.
International Microbiology
Gut microbiota and health
article

A microbiota–substrate–metabolite–target network suggests AKT1-associated links between gut microbiota-derived metabolites and osteoporosis

Wenxing Zeng, Yitao Liao, Xuanyu Xie, Zhichao Qin, Yuan Gong, Xian Zhang, Chao Li
article en

Abstract

OBJECTIVE: To build a computational, hypothesis-generating framework that links gut microbiota-related metabolites with osteoporosis (OP) while retaining upstream microbial source and substrate information, and to prioritize candidate host targets, pathways, and modules for subsequent testing. METHODS: Metabolites and human intestinal host targets were obtained from gutMGene and structures from PubChem; candidate targets were predicted with SEA and SwissTargetPrediction, and osteoporosis targets from CTD, GeneCards, and OMIM. Shared targets were analyzed by protein-protein interaction networks, GO and KEGG enrichment, a layered microbiota-substrate-metabolite-target network, ADMET profiling, and molecular docking. The candidate hubs were further tested for differential expression in three independent human Gene Expression Omnibus (GEO) datasets. RESULTS: Forty-eight shared targets were identified, with TP53, AKT1, IL6, TNF, and IL1B among the most connected candidate hubs and no single target dominant across complementary centrality metrics. The layered network comprised 121 nodes and 150 edges and yielded 479 directed candidate paths-a graph-theoretical enumeration of layered connectivity rather than independently validated chains-highlighting tryptophan-indole and flavonoid modules. Independently, AKT1 and TP53 were upregulated in osteoporotic bone-marrow mesenchymal stem cells (log2FC 1.59 and 1.55; FDR 0.0099 and 0.037), whereas hub expression was weak or heterogeneous in circulating immune cells, and docking offered only qualitative structural plausibility. CONCLUSION: The source-preserving M-S-M-T framework prioritizes candidate multi-target links between gut microbiota-derived metabolites and OP-related inflammatory and bone-remodeling pathways, with AKT1 as one, rather than the unique, candidate signaling hub; independent transcriptomic data provide convergent but cell-type-specific support, and functional validation remains required.

International Microbiology
Nanjing University of Chinese Medicine (CN)
Zero hunger
Openalex Percentile: Top 19%
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.