Authors
Fuming You, Han Bao, Wentong Li, Hanzhao Zhang, Yang Li, Jiang Li, Mingao Sun, Yuxia Yang, Luomeng Chao
Published in
Probiotics and antimicrobial proteins. Jul 07, 2026. Epub Jul 07, 2026.
Abstract
Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited non-invasive biomarkers and variable responses to probiotics. This study investigates the probiotic potential of Enterococcus hirae Y-HS isolated from healthy beef cattle and its mechanisms in alleviating UC. In vitro probiotic properties of Y-HS were assessed. Public transcriptomic datasets (GSE179285, GSE87466, GSE206285) were analysed to identify differentially expressed genes in UC patients. Machine learning integrated with protein-protein interaction network analysis identified core diagnostic genes. A DSS-induced murine colitis model was established to evaluate Y-HS intervention effects. Y-HS exhibited excellent gastrointestinal tolerance, no haemolytic activity and antibiotic susceptibility. Transcriptomic analysis identified 768 DEGs in UC patients. Machine learning yielded four metabolism-associated signature genes-CYP3A4, UGT1A6, HSD17B6 and SRD5A3-with diagnostic accuracy (AUC 0.72-0.84). In DSS-induced colitis, Y-HS dose-dependently attenuated disease activity, remodelled gut microbiota (increasing Lactobacillus, decreasing Escherichia-Shigella), activated PXR/Nrf2 signalling, upregulated detoxification enzymes (CYP3A4, UGT1A6) and tight junction proteins, while downregulating HSD17B6, SRD5A3 and cleaved caspase-3. These changes were accompanied by reduced pro-inflammatory cytokines and elevated IL-10. E. hirae Y-HS alleviates UC through coordinated modulation of gut microbiota, host metabolism, inflammation and barrier function. The identified metabolic gene signature offers potential non-invasive biomarkers for UC.
PMID:
42412323
Bibliographic data and abstract were imported from PubMed on 07 Jul 2026.
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