Atlas of the plasma proteome in health and disease in 53,026 adults

IF 45.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Cell Pub Date : 2024-11-22 DOI:10.1016/j.cell.2024.10.045
Yue-Ting Deng, Jia You, Yu He, Yi Zhang, Hai-Yun Li, Xin-Rui Wu, Ji-Yun Cheng, Yu Guo, Zi-Wen Long, Yi-Lin Chen, Ze-Yu Li, Liu Yang, Ya-Ru Zhang, Shi-Dong Chen, Yi-Jun Ge, Yu-Yuan Huang, Le-Ming Shi, Qiang Dong, Ying Mao, Jian-Feng Feng, Jin-Tai Yu
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引用次数: 0

Abstract

Large-scale proteomics studies can refine our understanding of health and disease and enable precision medicine. Here, we provide a detailed atlas of 2,920 plasma proteins linking to diseases (406 prevalent and 660 incident) and 986 health-related traits in 53,026 individuals (median follow-up: 14.8 years) from the UK Biobank, representing the most comprehensive proteome profiles to date. This atlas revealed 168,100 protein-disease associations and 554,488 protein-trait associations. Over 650 proteins were shared among at least 50 diseases, and over 1,000 showed sex and age heterogeneity. Furthermore, proteins demonstrated promising potential in disease discrimination (area under the curve [AUC] > 0.80 in 183 diseases). Finally, integrating protein quantitative trait locus data determined 474 causal proteins, providing 37 drug-repurposing opportunities and 26 promising targets with favorable safety profiles. These results provide an open-access comprehensive proteome-phenome resource (https://proteome-phenome-atlas.com/) to help elucidate the biological mechanisms of diseases and accelerate the development of disease biomarkers, prediction models, and therapeutic targets.

Abstract Image

53 026 名成年人健康和疾病时的血浆蛋白质组图谱
大规模蛋白质组学研究可以完善我们对健康和疾病的理解,实现精准医疗。在这里,我们提供了一份详细的图谱,其中包括英国生物库中 53026 人(中位数随访时间:14.8 年)的 2920 种血浆蛋白与疾病(406 种流行性疾病和 660 种偶发性疾病)和 986 种健康相关特征的联系,这是迄今为止最全面的蛋白质组图谱。该图谱揭示了168100种蛋白质-疾病关联和554488种蛋白质-特征关联。超过 650 种蛋白质在至少 50 种疾病中具有共性,超过 1000 种蛋白质表现出性别和年龄异质性。此外,蛋白质在疾病鉴别方面表现出了良好的潜力(183 种疾病的曲线下面积为 0.80)。最后,整合蛋白质定量性状位点数据确定了 474 个因果蛋白质,提供了 37 个药物再利用机会和 26 个具有良好安全性的有前途的靶点。这些结果提供了一个开放存取的综合蛋白质组-表型组资源(https://proteome-phenome-atlas.com/),有助于阐明疾病的生物学机制,加快疾病生物标记物、预测模型和治疗靶点的开发。
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来源期刊
Cell
Cell 生物-生化与分子生物学
CiteScore
110.00
自引率
0.80%
发文量
396
审稿时长
2 months
期刊介绍: Cells is an international, peer-reviewed, open access journal that focuses on cell biology, molecular biology, and biophysics. It is affiliated with several societies, including the Spanish Society for Biochemistry and Molecular Biology (SEBBM), Nordic Autophagy Society (NAS), Spanish Society of Hematology and Hemotherapy (SEHH), and Society for Regenerative Medicine (Russian Federation) (RPO). The journal publishes research findings of significant importance in various areas of experimental biology, such as cell biology, molecular biology, neuroscience, immunology, virology, microbiology, cancer, human genetics, systems biology, signaling, and disease mechanisms and therapeutics. The primary criterion for considering papers is whether the results contribute to significant conceptual advances or raise thought-provoking questions and hypotheses related to interesting and important biological inquiries. In addition to primary research articles presented in four formats, Cells also features review and opinion articles in its "leading edge" section, discussing recent research advancements and topics of interest to its wide readership.
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