Wang X, Qiao X, Zenere A, Barde S, Wang J, Zhong W
Genome Biol. 27 (1) 7 [2025-12-27; online 2025-12-27]
Understanding human blood metabolites is essential for deciphering systemic physiology and disease mechanisms, yet remains challenging due to diverse origins and dynamic regulation. In this study, we develop HUBMet ( https://hubmet.app.bio-it.tech/home ), an open-access web server that includes 3,950 metabolites and 129,814 metabolite-protein associations, with four analytical modules: Over-Representation Analysis (ORA) for enrichment analysis; Metabolite Set Enrichment Analysis (MSEA) for quantitative data analysis; Tissue Specificity Analysis (TSA) for assessing metabolite-tissue relevance; Metabolite-Protein Network Analysis (MPNet) for identifying key metabolite-protein associations and functional modules. HUBMet's utility is demonstrated through a COVID-19 case study revealing metabolic signatures associated with disease severity.
PubMed 41455991
DOI 10.1186/s13059-025-03922-x
Crossref 10.1186/s13059-025-03922-x
pmc: PMC12838415
pii: 10.1186/s13059-025-03922-x