Human gut flagellome profiling using FlaPro reveals TLR5-related phenotype-specific alterations in IBD.
This paper links specific features of the gut bacterial flagellome to TLR5-driven immune activation and reports a disease-associated shift in flagellin profiles in Crohn’s disease and ulcerative colitis, suggesting potential microbiome markers relevant to IBD inflammation.
Researchers (microbiome, immunology), translational clinicians, and informed patients following microbiome biomarker research.
What To Know
What To Know This study describes FlaPro, a computational pipeline that identifies and functionally annotates bacterial flagellins in human gut microbiome data by predicting their ability to bind and stimulate Toll-like receptor 5 (TLR5).
Using FlaPro on an IBD multi-omics cohort, the authors report lower flagellome diversity and a shift toward a higher proportion of TLR5-stimulatory (versus silent) flagellins in both Crohn’s disease and ulcerative colitis at genomic and transcriptional levels.
The workflow and code are openly available from the authors’ GitHub repository, enabling other researchers to apply the method to additional cohorts.
Who Should Pay Attention Researchers studying microbiome–immune interactions, biomarker discovery, and TLR5-related pathways; clinicians and translational researchers interested in mechanistic microbiome markers for IBD; patients and advocates curious about microbiome research directions.
Keep In Mind This record is an abstract-level journal article (structured-content depth: abstract). Findings reflect computational analyses and associations in cohort data rather than clinical interventions.
The tool’s functional predictions are model-based and rely on training from experimentally characterized flagellins; further experimental validation and replication in independent cohorts will be needed before clinical use or diagnostic application.
Results are based on computational classification (FlaPro) applied to multi-omics cohort data; predictions are model-derived and require further experimental validation and independent replication.
