Abstract
The functional characterization of host-gut microbiome interactions remains limited by the sensitivity of current metaproteomic approaches. Here, we present uMetaP, an ultra-sensitive workflow combining advanced LC-MS technologies with an FDR-validated de novo sequencing strategy, novoMP. uMetaP markedly expands functional coverage and improves the taxonomic detection limit of the gut dark metaproteome by 5000-fold, enabling precise detection and quantification of low-abundance microbial and host proteins. Applied to a mouse model of intestinal injury, uMetaP revealed host-microbiome functional networks underlying tissue damage, beyond genomic findings. Orthogonal validation using transcriptomic data from Crohn’s disease patients confirmed key host protein alterations. Furthermore, we introduce the concept of a druggable metaproteome, mapping functional targets within the host and microbiota. By redefining the sensitivity limits of metaproteomics, uMetaP provides a highly valuable framework for advancing microbiome research and developing therapeutic strategies for microbiome-related diseases.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 6644 |
| Seitenumfang | 16 |
| Fachzeitschrift | Nature Communications |
| Jahrgang | 16 |
| DOIs | |
| Publikationsstatus | Elektronische Veröffentlichung vor Drucklegung - 18 Juli 2025 |
Fördermittel
We thank Elisabeth Clifford (Division of Pharmacology & Toxicology, University of Vienna, Austria) for assistance during sample preparation. We thank Astrid Horn, Ph.D. (Centre for Microbiology and Environmental Systems Science, Division of Microbial Ecology, Austria) for suggestions regarding bacterial counting. We thank Vadim Demichev for the discussions related to DIA-NN analysis. We thank Biognosys AG for the 1-month free license of Spectronaut. This research was funded in whole or in part by the University of Vienna and by the Austrian Science Fund (FWF; 10.55776/P35856 and 10.55776/P36554 to M.S.). E.U., D.A., and D.H. were funded by Deutsche Forschungsgemeinschaft (DFG; 395357507 and 469152594). For open access purposes, the author has applied a CC BY public copyright license to any author accepted manuscript version arising from this submission. The computational results presented have been achieved in part using the Vienna Scientific Cluster (VSC). M.S. received research awards and travel support from the German Pain Society (DGSS) both of which were sponsored by Astellas Pharma GmbH (Germany). M.S. received research awards from the Austrian Pain Society. M.S. received a one-time consulting honorarium from Grunenthal GmbH (Germany). None of these sources influenced the content of this study, and M.S. declares no conflict of interest. D.G.V. and M.S. have an ongoing scientific collaboration with Bruker (Center of Excellence for Metaproteomics, University of Vienna\u2014Bruker). F.X., M.B., E.U., R.K.R.K., A.M.B., D.A., D.H., M.S., and D.G.V. declare no competing interests. C.K., J.K., and T.S. are employees of Bruker Daltonics GmbH & Co., and Q.L. and B.M. are employees of Rapid Novor.
ÖFOS 2012
- 106037 Proteomik
- 106059 Mikrobiomforschung