TL;DR
This study provides a genomics-informed, hypothesis-generating framework that prioritizes candidate microbe–metabolite–host relationships in UC for future experimental validation.
Sepsis-associated intestinal injury involves barrier dysfunction and altered microbial metabolism, but microbiota-associated metabolites have not been systematically prioritized. We integrated curated microbe-metabolite and host-gene records, ligand-based target prediction, disease-gene databases, protein-protein inter...
A systems biology approach integrating gut microbial metabolite annotation, metabolite-associated gene identification, transcriptomics validation, network topology analysis, immune infiltration profiling, and single-cell transcriptomic datasets to investigate potential metabolite-host interactions associated with lung...
The findings provide a system-level framework describing the associations between dysbiosis-relevant host pathways, CRC-related regulatory networks, and immune responses and represent hypothesis-generating host candidates for further mechanistic and clinical validation.
This study first constructs a “gut microbiota-metabolite-hub gene” axis in IBD, providing a computational framework for microbiota-targeted precision therapy, and identifying C5AR1/KDM2A/HCAR3 as computationally predicted diagnostic biomarkers and 1,3-Diphenylpropan-2-Ol/3-Indolepropionic Acid as candidate intervention...
The gut microbiota and its metabolites may be associated with the immune microenvironment and tumor progression in CESC, potentially involving the MIF signaling axis.
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.
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