Home > Publications database > Metagenome-informed metaproteomics of the human gut microbiome, host, and dietary exposome uncovers signatures of health and inflammatory bowel disease. > print |
001 | 298168 | ||
005 | 20250224105400.0 | ||
024 | 7 | _ | |a 10.1016/j.cell.2024.12.016 |2 doi |
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037 | _ | _ | |a DKFZ-2025-00187 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Valdés-Mas, Rafael |b 0 |
245 | _ | _ | |a Metagenome-informed metaproteomics of the human gut microbiome, host, and dietary exposome uncovers signatures of health and inflammatory bowel disease. |
260 | _ | _ | |a [Cambridge, Mass.] |c 2025 |b Cell Press |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1740390794_28160 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
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336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a #LA:D480# / 2025 Feb 20;188(4):1062-1083.e36 |
520 | _ | _ | |a Host-microbiome-dietary interactions play crucial roles in regulating human health, yet their direct functional assessment remains challenging. We adopted metagenome-informed metaproteomics (MIM), in mice and humans, to non-invasively explore species-level microbiome-host interactions during commensal and pathogen colonization, nutritional modification, and antibiotic-induced perturbation. Simultaneously, fecal MIM accurately characterized the nutritional exposure landscape in multiple clinical and dietary contexts. Implementation of MIM in murine auto-inflammation and in human inflammatory bowel disease (IBD) characterized a 'compositional dysbiosis' and a concomitant species-specific 'functional dysbiosis' driven by suppressed commensal responses to inflammatory host signals. Microbiome transfers unraveled early-onset kinetics of these host-commensal cross-responsive patterns, while predictive analyses identified candidate fecal host-microbiome IBD biomarker protein pairs outperforming S100A8/S100A9 (calprotectin). Importantly, a simultaneous fecal nutritional MIM assessment enabled the determination of IBD-related consumption patterns, dietary treatment compliance, and small intestinal digestive aberrations. Collectively, a parallelized dietary-bacterial-host MIM assessment functionally uncovers trans-kingdom interactomes shaping gastrointestinal ecology while offering personalized diagnostic and therapeutic insights into microbiome-associated disease. |
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650 | _ | 7 | |a biomarker |2 Other |
650 | _ | 7 | |a diet |2 Other |
650 | _ | 7 | |a inflammatory bowel disease |2 Other |
650 | _ | 7 | |a metagenome-informed metaproteomics |2 Other |
650 | _ | 7 | |a microbiome |2 Other |
700 | 1 | _ | |a Leshem, Avner |b 1 |
700 | 1 | _ | |a Zheng, Danping |b 2 |
700 | 1 | _ | |a Cohen, Yotam |b 3 |
700 | 1 | _ | |a Kern, Lara |b 4 |
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700 | 1 | _ | |a Honda, Kenya |b 31 |
700 | 1 | _ | |a Lieb, Wolfgang |b 32 |
700 | 1 | _ | |a Bang, Corinna |b 33 |
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700 | 1 | _ | |a Maharshak, Nitsan |b 35 |
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700 | 1 | _ | |a Shibolet, Oren |b 37 |
700 | 1 | _ | |a Halpern, Zamir |b 38 |
700 | 1 | _ | |a Shouval, Dror S |b 39 |
700 | 1 | _ | |a Shamir, Raanan |b 40 |
700 | 1 | _ | |a Franke, Andre |b 41 |
700 | 1 | _ | |a Abdeen, Suhaib K |b 42 |
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