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Dataset Information

Protein biomarkers of interstitial lung abnormalities in relatives of patients with pulmonary fibrosis.


ABSTRACT:

Rationale

First-degree relatives of patients with pulmonary fibrosis (referred to here as relatives) are at high risk for interstitial lung abnormalities (ILA), highlighting the need for biomarkers for risk prediction. We aimed to identify blood proteins associated with and predictive of ILA among relatives of patients with pulmonary fibrosis.

Methods

Relatives enrolled in two independent cohorts had protein levels measured using an aptamer-based proteomic platform. ILA were assessed with computed tomography scans as per Fleischner Society recommendations. Protein associations with ILA were assessed using regression. Significant proteins were used with clinical variables to detect ILA.

Results

Of 237 relatives from two independent cohorts, 26% had ILA. Seven proteins

SUBMITTER: Rose JA 

PROVIDER: S-EPMC12138028 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature