Back

Ultra-sensitivity metaproteomics redefines the gut dark metaproteome, uncovering host-microbiome interactions and drug targets in intestinal inflammatory diseases.

Xian, F.; Brenek, M.; Krisp, C.; Aguanno, D.; Urbauer, E.; Srikumar, T.; Ravi Kumar, R. K.; Liu, Q.; Barry, A. M.; Ma, B.; Krieger, J.; Haller, D.; Schmidt, M.; Gomez Varela, D.

2025-01-10 microbiology
10.1101/2024.04.22.590295 bioRxiv
Show abstract

The gut microbiome is a complex ecosystem with significant inter-individual variability determined by hundreds of low-abundant species as revealed by genomic methods. Functional redundancy demands direct quantification of microbial biological functions to understand their influence on host physiology. This functional landscape remains unexplored due to limited sensitivity in metaproteomics methods. We present uMetaP, an ultra-sensitive metaproteomic solution combining advanced LC-MS technologies with a novel FDR- controlled de novo strategy. uMetaP improves the taxonomic detection limit of the gut "dark metaproteome" by 5,000-fold with exceptional quantification precision and accuracy. In a mouse model of colonic injury, uMetaP extended metagenomics findings and identified host functions and microbial metabolic networks linked to disease. We obtained orthogonal validation using transcriptomic data from biopsies of 204 Crohns patients and presented the concept of a "druggable metaproteome". Among the drug-protein interactions discovered are treatments for intestinal inflammatory diseases, showcasing uMetaPs potential for disease diagnostics and data-driven drug repurposing strategies.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.