Jiang Ying, Wang Jian, Sun Aihua, Zhang Hongxing, Yu Xiaobo, Qin Weijie, Ying Wantao, Li Yanchang, Chang Cheng, Wang Xiaowen, Xie Linhai, Liu Wei, Liu Jialin, Zhang Xiaomei, Yan Qunjiao, Zou Yu, Zhao Chuanping, Sun Haofan, Zhang Jian, Su Shicheng, Gao Qiang, He Fuchu
State Key Laboratory of Medical Proteomics, Research Unit of Proteomics Driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Academy of Military Medical Sciences, Beijing 102206, China.
International Academy of Phronesis Medicine (Guangdong), Guangzhou 510000, China.
Natl Sci Rev. 2025 Jul 14;12(8):nwaf278. doi: 10.1093/nsr/nwaf278. eCollection 2025 Aug.
The concept of 'proteomics-driven precision medicine' highlighted in 2019 emphasized the potential of proteomics to transform precision medicine by offering deeper insights into dynamic biological processes. Since then, this field has seen remarkable advancements, interlinking with key pillars such as protein expression profiling, post-translational modifications, protein-protein interactions and spatial proteomics to transform healthcare. Technological progress has led to the creation of comprehensive reference maps of proteomes, identification of over 90% of human protein-coding genes, and detailed cellular and molecular landscapes within organs. Proteomics has significantly advanced health monitoring and disease surveillance by developing aging models, predicting disease risks with superior protein risk scores, identifying biomarkers for early conditions like dementia, and securing Food and Drug Administration (FDA) approval for multiple cancer biomarkers. By providing deeper insights into the proteome's complexity and dynamics, proteomics is revolutionizing our understanding, diagnosis and treatment of diseases, firmly establishing itself as a cornerstone of precision medicine.
2019年提出的“蛋白质组学驱动的精准医学”概念强调了蛋白质组学通过更深入洞察动态生物学过程来变革精准医学的潜力。从那时起,该领域取得了显著进展,与蛋白质表达谱分析、翻译后修饰、蛋白质-蛋白质相互作用和空间蛋白质组学等关键支柱相互关联,以改变医疗保健。技术进步催生了蛋白质组的综合参考图谱,鉴定出超过90%的人类蛋白质编码基因,并描绘出器官内详细的细胞和分子图景。蛋白质组学通过开发衰老模型、利用卓越的蛋白质风险评分预测疾病风险、识别痴呆等早期病症的生物标志物以及获得美国食品药品监督管理局(FDA)对多种癌症生物标志物的批准,极大地推动了健康监测和疾病监测。通过更深入洞察蛋白质组的复杂性和动态性,蛋白质组学正在彻底改变我们对疾病的理解、诊断和治疗,稳固地确立了其作为精准医学基石的地位。