A human pan-disease blood atlas of the circulating proteome
Alvez, Maria Bueno, Bergstrom, Sofia, Kenrick, Josefin, Johansson, Emil, Aberg, Mikael, Akyildiz, Murat, Altay, Ozlem, Skold, Hilda, Antonopoulos, Konstantinos, Apostolakis, Emmanouil, Balcioglu, Yasin Hasan, Bergstrom, Anna, Bergstrom, Goran, Bjorkander, Sophia, Brage, Suzanne Egyhazi, Brodin, Petter, Butler, Lynn, Cajander, Sara, Danielsson, Hanna, Dayangac, Murat, Dinler-Doganay, Gizem, Doganay, Levent, Enblad, Gunilla, Enblad, Malin, Fagerberg, Linn, Falck-Jones, Sara, Farnert, Anna, Forsberg, Mattias, Gonzalez, Laura, Gummesson, Anders, Gunnarsson, Karin, Gunnarsson, Iva, Gyllensten, Ulf, Hesselager, Goran, Hober, Andreas, Hoglund, Martin, Holmqvist, Marie, Horuluoglu, Begum, Hultgren, Rebecka, Iglesias, Maria Jesus, Janols, Helena, Johansson, Fredric, Johnsson, Anette, Klareskog, Lars, Kotol, David, Kull, Inger, Kvarnstrom, Marika, Lautenbach, Maximilian Julius, Liljedahl, Ulrika, Lindman, Henrik, Lindskog, Cecilia, Lipcsey, Miklos, Lundberg, Ingrid E., Mardinoglu, Adil, Melen, Erik, Meng, Lingqi, Merritt, Anne-Sophie, Mulder, Jan, Nguyen, Mai Thi-Huyen, Nordlund, Jessica, Norrby-Teglund, Anna, Notarnicola, Antonella, Nowak, Piotr, Odeberg, Jacob, Oksvold, Per, Olsson, Tomas, Padyukov, Leonid, Pauksens, Karlis, Piehl, Fredrik, Pin, Elisa, Ponten, Fredrik, Rameika, Natallia, Reepalu, Anton, Roy, Joy, Schwenk, Jochen M., Sen, Meltem, Siika, Antti, Simonson, Oscar E., Sivertsson, Asa, Sjoblom, Tobias, Sjostedt, Evelina, Skoglund, Lovisa, Smed-Sorensen, Anna, Sonden, Klara, Sonnerborg, Anders, Stalberg, Karin, Stralin, Kristoffer, Sunden-Cullberg, Jonas, Sundling, Christopher, Sutantiwanichkul, Thanadol, Svedman, Fernanda Costa, Svensson, Mattias, Svenungsson, Elisabet, Lakshmikanth, Tadepally, Tran-Minh, Khue Hua, Turkez, Hasan, Unge, Christian, Venge, Per, Wahren-Herlenius, Marie, Woessmann, Jakob, Yang, Hong, Yesilkaya, Umit Haluk, Yuan, Meng, Zeybel, Mujdat, Zhang, Cheng, Zhong, Wen, Zwahlen, Martin, Von Feilitzen, Kalle, Nilsson, Peter, Edfors, Fredrik, Uhlen, Mathias
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.
- Journal
- SCIENCE
- Year
- 2025
- Volume
- 390
- Issue
- 6779
- ISSN
- 0036-8075
- eISSN
- 1095-9203
- DOI
- 10.1126/science.adx2678
- WoS UID
- WOS:001643421200001