A human pan-disease blood atlas of the circulating proteome.

Álvez MB, Bergström S, Kenrick J, Johansson E, Åberg M, Akyildiz M, Altay O, Sköld H, Antonopoulos K, Apostolakis E, Balcioglu YH, Bergström A, Bergström G, Björkander S, Brage SE, Brodin P, Butler L, Cajander S, Danielsson H, Dayangac M, Dinler-Doganay G, Doğanay L, Enblad G, Enblad M, Fagerberg L, Falck-Jones S, Färnert A, Forsberg M, Gonzalez L, Gummesson A, Gunnarsson K, Gunnarsson I, Gyllensten U, Hesselager G, Hober A, Höglund M, Holmqvist M, Horuluoglu B, Hultgren R, Iglesias MJ, Janols H, Johansson F, Johnsson A, Klareskog L, Kotol D, Kull I, Kvarnström M, Lautenbach MJ, Liljedahl U, Lindman H, Lindskog C, Lipcsey M, Lundberg IE, Mardinoglu A, Melén E, Meng L, Merritt A, Mulder J, Nguyen MT, Nordlund J, Norrby-Teglund A, Notarnicola A, Nowak P, Odeberg J, Oksvold P, Olsson T, Padyukov L, Pauksens K, Piehl F, Pin E, Pontén F, Rameika N, Reepalu A, Roy J, Schwenk JM, Sen M, Siika A, Simonson OE, Sivertsson Å, Sjöblom T, Sjöstedt E, Skoglund L, Smed-Sörensen A, Sondén K, Sönnerborg A, Stålberg K, Strålin K, Sundén-Cullberg J, Sundling C, Sutantiwanichkul T, Svedman FC, Svensson M, Svenungsson E, Lakshmikanth T, Tran-Minh KH, Türkez H, Unge C, Venge P, Wahren-Herlenius M, Woessmann J, Yang H, Yeşilkaya UH, Yuan M, Zeybel M, Zhang C, Zhong W, Zwahlen M, von Feilitzen K, Nilsson P, Edfors F, Uhlén M

Science - (-) eadx2678 [2025-10-09; online 2025-10-09]

The human blood proteome provides a holistic readout of health states through the assessment of thousands of circulating proteins. Here, 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 BMI, 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 8,262 individuals and up to 5,416 proteins, serves as an online resource for exploring disease-specific protein profiles and advancing precision medicine research.

Autoimmunity and Serology Profiling [Service]

NGI Proteomics [Collaborative]

NGI Short read [Collaborative]

NGI Uppsala (SNP&SEQ Technology Platform) [Collaborative]

National Genomics Infrastructure [Collaborative]

PubMed 41066540

DOI 10.1126/science.adx2678

Crossref 10.1126/science.adx2678


Publications 9.5.1