Publication: A human pan-disease blood atlas of the circulating proteome
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Álvez, MBIIBergström, SIIKenrick, JIIJohansson, EIIÅberg, MIIAkyildiz, MIIAltay, OIISköld, HIIAntonopoulos, KIIApostolakis, EIIBalcioglu, YHIIBergström, AIIBergström, GIIBjörkander, SIIBrage, SEIIBrodin, PIIButler, LIICajander, SIIDanielsson, HIIDayangac, MIIDinler-Doganay, GIIDoğanay, LIIEnblad, GIIEnblad, MIIFagerberg, LIIFalck-Jones, SIIFärnert, AIIForsberg, MIIGonzalez, LIIGummesson, AIIGunnarsson, KIIGunnarsson, IIIGyllensten, UIIHesselager, GIIHober, AIIHöglund, MIIHolmqvist, MIIHoruluoglu, BIIHultgren, RIIIglesias, MJIIJanols, HIIJohansson, FIIJohnsson, AIIKlareskog, LIIKotol, DIIKull, IIIKvarnström, MIILautenbach, MJIILiljedahl, UIILindman, HIILindskog, CIILipcsey, MIILundberg, IEIIMardinoglu, AIIMelén, EIIMeng, LIIMerritt, ASIIMulder, JIINguyen, MTIINordlund, JIINorrby-Teglund, AIINotarnicola, AIINowak, PIIOdeberg, JIIOksvold, PIIOlsson, TIIPadyukov, LIIPauksens, KIIPiehl, FIIPin, EIIPontén, FIIRameika, NIIReepalu, AIIRoy, JIISchwenk, JMIISen, MIISiika, AIISimonson, OEIISivertsson, ÅIISjöblom, TIISjöstedt, EIISkoglund, LIISmed-Sörensen, AIISondén, KIISönnerborg, AIIStålberg, KIIStrålin, KIISundén-Cullberg, JIISundling, CIISutantiwanichkul, TIISvedman, FCIISvensson, MIISvenungsson, EIILakshmikanth, TIITran-Minh, KHIITürkez, HIIUnge, CIIVenge, PIIWahren-Herlenius, MIIWoessmann, JIIYang, HongIIYeşilkaya, Umit HalukIIYuan, MengIIZhang, ChengIIZhong, WenIIZwahlen, MartinIIvon Feilitzen, KalleIINilsson, PeterIIEdfors, FredrikIIUhlén,Mathias
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Abstract
The human blood proteome provides a holistic readout of health states through the assessment of thousands of circulating proteins. In this study, we present a pan-disease resource to enable the study of diverse disease phenotypes within a harmonized proteomics dataset. By profiling protein concentrations across 59 diseases and healthy cohorts, we identified proteins associated with age, sex, and body mass index, as well as disease-specific signatures. This study highlights shared and distinct protein patterns across conditions, demonstrating the power of a unified proteomics approach to uncover biological insights. The dataset, covering 8262 individuals and up to 5416 proteins, serves as an online resource for exploring disease-specific protein profiles and advancing precision medicine research.
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American Association for the Advancement of Science (AAAS)
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Science
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10.1126/science.adx2678
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CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)
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Except where otherwise noted, this item's license is described as CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)