000298168 001__ 298168
000298168 005__ 20250224105400.0
000298168 0247_ $$2doi$$a10.1016/j.cell.2024.12.016
000298168 0247_ $$2pmid$$apmid:39837331
000298168 0247_ $$2ISSN$$a0092-8674
000298168 0247_ $$2ISSN$$a1097-4172
000298168 0247_ $$2altmetric$$aaltmetric:173190085
000298168 037__ $$aDKFZ-2025-00187
000298168 041__ $$aEnglish
000298168 082__ $$a610
000298168 1001_ $$aValdés-Mas, Rafael$$b0
000298168 245__ $$aMetagenome-informed metaproteomics of the human gut microbiome, host, and dietary exposome uncovers signatures of health and inflammatory bowel disease.
000298168 260__ $$a[Cambridge, Mass.]$$bCell Press$$c2025
000298168 3367_ $$2DRIVER$$aarticle
000298168 3367_ $$2DataCite$$aOutput Types/Journal article
000298168 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1740390794_28160
000298168 3367_ $$2BibTeX$$aARTICLE
000298168 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000298168 3367_ $$00$$2EndNote$$aJournal Article
000298168 500__ $$a#LA:D480# / 2025 Feb 20;188(4):1062-1083.e36
000298168 520__ $$aHost-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.
000298168 536__ $$0G:(DE-HGF)POF4-314$$a314 - Immunologie und Krebs (POF4-314)$$cPOF4-314$$fPOF IV$$x0
000298168 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000298168 650_7 $$2Other$$abiomarker
000298168 650_7 $$2Other$$adiet
000298168 650_7 $$2Other$$ainflammatory bowel disease
000298168 650_7 $$2Other$$ametagenome-informed metaproteomics
000298168 650_7 $$2Other$$amicrobiome
000298168 7001_ $$aLeshem, Avner$$b1
000298168 7001_ $$aZheng, Danping$$b2
000298168 7001_ $$aCohen, Yotam$$b3
000298168 7001_ $$aKern, Lara$$b4
000298168 7001_ $$aZmora, Niv$$b5
000298168 7001_ $$aHe, Yiming$$b6
000298168 7001_ $$aKatina, Corine$$b7
000298168 7001_ $$aEliyahu-Miller, Shimrit$$b8
000298168 7001_ $$aYosef-Hevroni, Tal$$b9
000298168 7001_ $$aRichman, Liron$$b10
000298168 7001_ $$aRaykhel, Barbara$$b11
000298168 7001_ $$aAllswang, Shira$$b12
000298168 7001_ $$aBetter, Reut$$b13
000298168 7001_ $$aShmueli, Merav$$b14
000298168 7001_ $$0P:(DE-He78)daabfe66389621c1821e260f1793bb79$$aSaftien, Aurelia$$b15$$udkfz
000298168 7001_ $$0P:(DE-He78)7c9176c219a426bec629c655b91ffb60$$aCullin, Nyssa$$b16
000298168 7001_ $$aSlamovitz, Fernando$$b17
000298168 7001_ $$aCiocan, Dragos$$b18
000298168 7001_ $$0P:(DE-He78)bfd25fb9bbf13ba9c868ffc5fb634607$$aOuyang, Kyanna S$$b19$$udkfz
000298168 7001_ $$aMor, Uria$$b20
000298168 7001_ $$aDori-Bachash, Mally$$b21
000298168 7001_ $$aMolina, Shahar$$b22
000298168 7001_ $$aLevin, Yishai$$b23
000298168 7001_ $$aAtarashi, Koji$$b24
000298168 7001_ $$aJona, Ghil$$b25
000298168 7001_ $$0P:(DE-He78)04965ffa43dd78e7f52259c5fceffefa$$aPuschhof, Jens$$b26$$udkfz
000298168 7001_ $$aHarmelin, Alon$$b27
000298168 7001_ $$aStettner, Noa$$b28
000298168 7001_ $$aChen, Minhu$$b29
000298168 7001_ $$aSuez, Jotham$$b30
000298168 7001_ $$aHonda, Kenya$$b31
000298168 7001_ $$aLieb, Wolfgang$$b32
000298168 7001_ $$aBang, Corinna$$b33
000298168 7001_ $$aKori, Michal$$b34
000298168 7001_ $$aMaharshak, Nitsan$$b35
000298168 7001_ $$aMerbl, Yifat$$b36
000298168 7001_ $$aShibolet, Oren$$b37
000298168 7001_ $$aHalpern, Zamir$$b38
000298168 7001_ $$aShouval, Dror S$$b39
000298168 7001_ $$aShamir, Raanan$$b40
000298168 7001_ $$aFranke, Andre$$b41
000298168 7001_ $$aAbdeen, Suhaib K$$b42
000298168 7001_ $$aShapiro, Hagit$$b43
000298168 7001_ $$aSavidor, Alon$$b44
000298168 7001_ $$0P:(DE-He78)725ad944da4e1ea60389fe9dbbed2c7c$$aElinav, Eran$$b45$$eLast author$$udkfz
000298168 773__ $$0PERI:(DE-600)2001951-8$$a10.1016/j.cell.2024.12.016$$gp. S0092867424014296$$n4$$p1062-1083.e36$$tCell$$v188$$x0092-8674$$y2025
000298168 909CO $$ooai:inrepo02.dkfz.de:298168$$pVDB
000298168 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)daabfe66389621c1821e260f1793bb79$$aDeutsches Krebsforschungszentrum$$b15$$kDKFZ
000298168 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)7c9176c219a426bec629c655b91ffb60$$aDeutsches Krebsforschungszentrum$$b16$$kDKFZ
000298168 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)bfd25fb9bbf13ba9c868ffc5fb634607$$aDeutsches Krebsforschungszentrum$$b19$$kDKFZ
000298168 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)04965ffa43dd78e7f52259c5fceffefa$$aDeutsches Krebsforschungszentrum$$b26$$kDKFZ
000298168 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)725ad944da4e1ea60389fe9dbbed2c7c$$aDeutsches Krebsforschungszentrum$$b45$$kDKFZ
000298168 9131_ $$0G:(DE-HGF)POF4-314$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vImmunologie und Krebs$$x0
000298168 9141_ $$y2025
000298168 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2025-01-01$$wger
000298168 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCELL : 2022$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2025-01-01
000298168 915__ $$0StatID:(DE-HGF)9960$$2StatID$$aIF >= 60$$bCELL : 2022$$d2025-01-01
000298168 9202_ $$0I:(DE-He78)D480-20160331$$kD480$$lMikrobiom und Krebs$$x0
000298168 9201_ $$0I:(DE-He78)D480-20160331$$kD480$$lMikrobiom und Krebs$$x0
000298168 980__ $$ajournal
000298168 980__ $$aVDB
000298168 980__ $$aI:(DE-He78)D480-20160331
000298168 980__ $$aUNRESTRICTED