该课题组提出了一种泛疾病抗性，以便在协调的蛋白质组学数据集内研究多种疾病表型。通过分析59种疾病和健康队列中的蛋白质浓度，研究小组确定了与年龄、性别、BMI以及疾病特异性特征相关的蛋白质。这项研究强调了不同条件下共享和独特的蛋白质模式，展示了统一的蛋白质组学方法在揭示生物学见解方面的力量。该数据集涵盖8,262个人和多达5,416种蛋白质，可作为探索疾病特异性蛋白质谱和推进精准医学研究的在线平台。
研究人员表示，人类血液蛋白质组通过评估循环蛋白质的需求，提供了健康状态的整体读数。
附：英文原文
Title: A human pan-disease blood atlas of the circulating proteome
Author: María Bueno álvez, Sofia Bergstrm, Josefin Kenrick, Emil Johansson, Mikael berg, Murat Akyildiz, Ozlem Altay, Hilda Skld, Konstantinos Antonopoulos, Emmanouil Apostolakis, Yasin Hasan Balcioglu, Anna Bergstrm, Gran Bergstrm, Sophia Bjrkander, Suzanne Egyhazi Brage, Petter Brodin, Lynn Butler, Sara Cajander, Hanna Danielsson, Murat Dayangac, Gizem Dinler-Doganay, Levent Doanay, Gunilla Enblad, Malin Enblad, Linn Fagerberg, Sara Falck-Jones, Anna Frnert, Mattias Forsberg, Laura Gonzalez, Anders Gummesson, Karin Gunnarsson, Iva Gunnarsson, Ulf Gyllensten, Gran Hesselager, Andreas Hober, Martin Hglund, Marie Holmqvist, Begum Horuluoglu, Rebecka Hultgren, Maria Jesus Iglesias, Helena Janols, Fredric Johansson, Anette Johnsson, Lars Klareskog, David Kotol, Inger Kull, Marika Kvarnstrm, Maximilian Julius Lautenbach, Ulrika Liljedahl, Henrik Lindman, Cecilia Lindskog, Miklos Lipcsey, Ingrid E Lundberg, Adil Mardinoglu, Erik Melén, Lingqi Meng, Anne-Sophie Merritt, Jan Mulder, Mai Thi-Huyen Nguyen, Jessica Nordlund, Anna Norrby-Teglund, Antonella Notarnicola, Piotr Nowak, Jacob Odeberg, Per Oksvold, Tomas Olsson, Leonid Padyukov, Karlis Pauksens, Fredrik Piehl, Elisa Pin, Fredrik Pontén, Natallia Rameika, Anton Reepalu, Joy Roy, Jochen M. Schwenk, Meltem Sen, Antti Siika, Oscar E. Simonson, sa Sivertsson, Tobias Sjblom, Evelina Sjstedt, Lovisa Skoglund, Anna Smed-Srensen, Klara Sondén, Anders Snnerborg, Karin Stlberg, Kristoffer Strlin, Jonas Sundén-Cullberg, Christopher Sundling, Thanadol Sutantiwanichkul, Fernanda Costa Svedman, Mattias Svensson, Elisabet Svenungsson, Tadepally Lakshmikanth, Khue Hua Tran-Minh, Hasan Türkez, Christian Unge, Per Venge, Marie Wahren-Herlenius, Jakob Woessmann, Hong Yang, Umit Haluk Yeilkaya, Meng Yuan, Mujdat Zeybel, Cheng Zhang, Wen Zhong, Martin Zwahlen, Kalle von Feilitzen, Peter Nilsson, Fredrik Edfors, Mathias Uhlén
Issue&Volume: 2025-10-09
Abstract: 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.
DOI: adx2678
Source: https://www.science.org/doi/10.1126/science.adx2678