Plasma proteomic signature of frailty in 50,506 adults
Jia, Xueqing; Gao, Weijing; Hagelin, Hampus; Zhao, Yanjie; Zhang, Jingyun; Cao, Xingqi; Zhang, Liming; Wu, Youheng; Ma, Lina; Chen, Liangkai; Sun, Liang; Guo, Huan; Zhang, Cuntai; Jylhävä, Juulia; Hu, Zixin; Hoogendijk, Emiel O.; Hägg, Sara; Liu, Zuyun (2026-05)
Jia, Xueqing
Gao, Weijing
Hagelin, Hampus
Zhao, Yanjie
Zhang, Jingyun
Cao, Xingqi
Zhang, Liming
Wu, Youheng
Ma, Lina
Chen, Liangkai
Sun, Liang
Guo, Huan
Zhang, Cuntai
Jylhävä, Juulia
Hu, Zixin
Hoogendijk, Emiel O.
Hägg, Sara
Liu, Zuyun
05 / 2026
Cell Metabolism
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202606026767
https://urn.fi/URN:NBN:fi:tuni-202606026767
Kuvaus
Peer reviewed
Tiivistelmä
Proteomics enables the systematic elucidation of biological mechanisms underlying frailty. Through a large proteome-wide association study of 2,911 plasma proteins from 50,506 UK Biobank participants, we identified 1,339 proteins significantly associated with frailty, highlighting collagen-containing extracellular matrix and vesicle lumen pathways. Replication in the TwinGene study confirmed partial but consistent associations. Mendelian randomization analyses identified five potentially causal proteins for frailty. Moreover, we developed a proteomic frailty score (PFS) that showed strong predictive performance for 199 incident diseases across 13 categories and broad responsiveness to 84 modifiable risk factors. Longitudinal analyses revealed accelerated PFS progression with advancing age and increasing baseline frailty severity. An online tool ( https://zipoa.shinyapps.io/frailty/ ) was created for public PFS calculation. Finally, we observed a biphasic pattern of frailty-associated proteomic dysregulation across the lifespan, with peaks at ages ∼50 and ∼63. Together, we establish PFS as a biomarker of biological aging while identifying critical windows and molecular targets for frailty interventions.
Kokoelmat
- TUNICRIS-julkaisut [26203]
