Dynamic and prognostic proteomic associations with FEV₁ decline in chronic obstructive pulmonary disease.

ABSTRACT:

Rationale

Identification and validation of circulating biomarkers for lung function decline in COPD remains an unmet need.

Objective

Identify prognostic and dynamic plasma protein biomarkers of COPD progression.

Methods

We measured plasma proteins using SomaScan from two COPD-enriched cohorts, the Subpopulations and Intermediate Outcomes Measures in COPD Study (SPIROMICS) and Genetic Epidemiology of COPD (COPDGene), and one population-based cohort, Multi-Ethnic Study of Atherosclerosis (MESA) Lung. Using SPIROMICS as a discovery cohort, linear mixed models identified baseline proteins that predicted future change in FEV₁ (prognostic model) and proteins whose expression changed with change in lung function (dynamic model). Findings were replicated in COPDGen

SUBMITTER: Ruvuna L 

PROVIDER: S-EPMC11326337 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature