Large scale plasma proteomic profiles improve prediction of idiopathic pulmonary fibrosis in general population.

ABSTRACT:

Background

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease of unknown etiology, with poor prognosis and substantial global economic burden. Circulating proteomics holds promise for unraveling IPF pathogenesis and identifying therapeutic targets. Herein, we aimed to explore the relationship between plasma proteomics and IPF, and evaluate whether proteomics could improve IPF risk prediction.

Methods

This cohort study included 44,306 participants from the UK Biobank. The development cohort, consisting of 39,035 participants from England, was randomly divided into a 7:3 training-testing ratio. The validation cohort included 5,211 participants from Scotland and Wales. Multivariable-adjusted Cox regression models were used to explore associations bet

SUBMITTER: Zhou R 

PROVIDER: S-EPMC12683901 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature