A human pan-disease blood atlas of the circulating proteome

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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Publication Details

Journal
Science
Published
2025-10-09
DOI
https://doi.org/10.1126/science.adx2678
Citations
18
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
13.61

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article

A human pan-disease blood atlas of the circulating proteome

Martin Höglund, Helena Janols, Kristoffer Strålin, Søren Brage et al.
18 citations
Science
Advanced Proteomics Techniques and Applications
13.61
article

A human pan-disease blood atlas of the circulating proteome

Martin Höglund, Helena Janols, Kristoffer Strålin, Søren Brage, Fredrik Pontén, Joy Roy, Jan Mulder, Fredrik Edfors, Levent Doğanay, Ingrid E. Lundberg, Lynn M. Butler, Antonella Notarnicola, Tobias Sjöblom, Per Venge, Murat Dayangaç, Tomas Olsson, Göran M.L. Bergström, Karin Stålberg, Lingqi Meng, Leonid Padyukov, Anders Gummesson, Sara Cajander, Linn Fagerberg, Christian Unge, Josefin Kenrick, Christopher Sundling, Wen Zhong, Karin Gunnarsson, Umit Haluk Yeşilkaya, Ulf Gyllensten, Oscar E. Simonson, Murat Akyıldız, Jakob Woessmann, Sophia Björkander, Cecilia Lindskog, Anna Bergström, Jochen M. Schwenk, Adil Mardinoğlu, Anders Sönnerborg, Hasan Türkez, Fredric Johansson, Maximilian Julius Lautenbach, Iva Gunnarsson, Tadepally Lakshmikanth, Karlis Pauksens, Elisa Pin, Per Oksvold, Kalle von Feilitzen, Thanadol Sutantiwanichkul, Hanna Danielsson, Miklós Lipcsey, Lovisa Skoglund, Erik Melén, Anna Färnert, Anne‐Sophie Merritt, Sara Falck‐Jones, Hong Yang, Rebecka Hultgren, Martin Zwahlen, Elisabet Svenungsson, Marie Wahren‐Herlenius, Natallia Rameika, Gizem Dinler Doğanay, Marika Kvarnström, David Kotol, Anette Johnsson, Begum Horuluoglu, Klara Sondén, Anton Reepalu, Yasin Hasan Balcıoğlu, Mathias Uhlén, Inger Kull, Andreas Hober, Henrik Lindman, Gunilla Enblad, Malin Enblad, Khue Hua Tran-Minh, Cheng Zhang, Jonas Sundén‐Cullberg, Κωνσταντίνος Αντωνόπουλος, Ulrika Liljedahl, Anna Smed‐Sörensen, Meng Yuan, Lars Klareskog, Meltem Sen, Mikael Åberg, Petter Brodin, Antti Siika, María Jesús Iglesias, Göran Hesselager, Marie Holmqvist, Fernanda Costa Svedman, Anna Norrby‐Teglund, Jacob Odeberg, Fredrik Piehl, Peter Nilsson, Åsa Sivertsson, María Bueno Álvez, Jessica Nordlund, Sofia Bergström, Evelina Sjöstedt, Piotr Nowak, Laura González‐Aguilera, Müjdat Zeybel, Mattias Svensson, Mattias Forsberg, Emil Johansson, Helén Nilsson Sköld, Ozlem Altay, M. Nguyen, Emmanouil Apostolakis
article en
18 citations

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.

ScienceVol. 390(6779)
Linköping University (SE), Uppsala University (SE), Bahçeşehir University (TR), Beth Israel Deaconess Medical Center (US), Karolinska University Hospital (SE), Koç University (TR), Harvard University (US), King's College London (GB), Lund University (SE), Örebro University (SE), Science for Life Laboratory (SE), Sahlgrenska University Hospital (SE), Hammersmith Hospital (GB), Danderyds sjukhus (SE), Karolinska Institutet (SE), Istanbul Medipol University (TR), Bakırköy Psychiatric Hospital (TR), Thermo Fisher Scientific (Sweden) (SE), Stockholm South General Hospital (SE), Region Västra Götaland (SE), Sachs' Children and Youth Hospital (SE), Skåne University Hospital (SE), Acıbadem Kadıköy Hospital (TR), MRC London Institute of Medical Sciences (GB), University of Bergen (NO), Istanbul Technical University (TR), Atatürk University (TR), UiT The Arctic University of Norway (NO), KTH Royal Institute of Technology (SE), University of Gothenburg (SE)
Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Science for Life Laboratory
Openalex Percentile: Top 1%
Advanced Proteomics Techniques and Applications
13.61
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