Plasma proteomics and lung function in four community-based cohorts

Respir Med. 2021 Jan:176:106282. doi: 10.1016/j.rmed.2020.106282. Epub 2020 Dec 5.

Abstract

Background: Underlying mechanism leading to impaired lung function are incompletely understood.

Objectives: To investigate whether protein profiling can provide novel insights into mechanisms leading to impaired lung function.

Methods: We used four community-based studies (n = 2552) to investigate associations between 79 cardiovascular/inflammatory proteins and forced expiratory volume in 1 s percent predicted (FEV1%) assessed by spirometry. We divided the cohorts into discovery and replication samples and used risk factor-adjusted linear regression corrected for multiple comparison (false discovery rate of 5%). We performed Mendelian randomization analyses using genetic and spirometry data from the UK Biobank (n = 421,986) to assess causality.

Measurements and main results: In cross-sectional analysis, 22 proteins were associated with lower FEV1% in both the discovery and replication sample, regardless of stratification by smoking status. The combined proteomic data cumulatively explained 5% of the variation in FEV1%. In longitudinal analyses (n = 681), higher plasma levels of growth differentiation factor 15 (GDF-15) and interleukin 6 (IL-6) predicted a more rapid 5-year decline in lung function (change in FEV1% per standard deviation of protein level -1.4, (95% CI, -2.5 to -0.3) for GDF-15, and -0.8, (95% CI, -1.5 to -0.2) for IL-6. Mendelian randomization analysis in UK-biobank provided support for a causal effect of increased GDF-15 levels and reduced FEV1%.

Conclusions: Our combined approach identified GDF-15 as a potential causal factor in the development of impaired lung function in the general population. These findings encourage additional studies evaluating the role of GDF-15 as a causal factor for impaired lung function.

Keywords: FEV(1); Mendelian randomization; Protein expression; Proteomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers / blood
  • Cross-Sectional Studies
  • Female
  • Genome-Wide Association Study
  • Growth Differentiation Factor 15 / blood*
  • Humans
  • Interleukin-6 / blood*
  • Linear Models
  • Longitudinal Studies
  • Lung Diseases / diagnosis*
  • Lung Diseases / etiology*
  • Lung Diseases / genetics
  • Lung Diseases / physiopathology*
  • Male
  • Maximal Expiratory Flow Rate
  • Mendelian Randomization Analysis
  • Middle Aged
  • Proteomics*

Substances

  • Biomarkers
  • GDF15 protein, human
  • Growth Differentiation Factor 15
  • IL6 protein, human
  • Interleukin-6