Label-free plasma proteomics identifies haptoglobin-related protein as candidate marker of idiopathic pulmonary fibrosis and dysregulation of complement and oxidative pathways

Sci Rep. 2020 May 8;10(1):7787. doi: 10.1038/s41598-020-64759-x.

Abstract

Idiopathic pulmonary fibrosis (IPF) is a lung parenchymal disease of unknown cause usually occurring in older adults. It is a chronic and progressive condition with poor prognosis and diagnosis is largely clinical. Currently, there exist few biomarkers that can predict patient outcome or response to therapies. Together with lack of markers, the need for novel markers for the detection and monitoring of IPF, is paramount. We have performed label-free plasma proteomics of thirty six individuals, 17 of which had confirmed IPF. Proteomics data was analyzed by volcano plot, hierarchical clustering, Partial-least square discriminant analysis (PLS-DA) and Ingenuity pathway analysis. Univariate and multivariate statistical analysis overlap identified haptoglobin-related protein as a possible marker of IPF when compared to control samples (Area under the curve 0.851, ROC-analysis). LXR/RXR activation and complement activation pathways were enriched in t-test significant proteins and oxidative regulators, complement proteins and protease inhibitors were enriched in PLS-DA significant proteins. Our pilot study points towards aberrations in complement activation and oxidative damage in IPF patients and provides haptoglobin-related protein as a new candidate biomarker of IPF.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers
  • Blood Proteins*
  • Case-Control Studies
  • Complement System Proteins / immunology*
  • Complement System Proteins / metabolism
  • Computational Biology / methods
  • Female
  • Haptoglobins / metabolism*
  • Humans
  • Idiopathic Pulmonary Fibrosis / immunology*
  • Idiopathic Pulmonary Fibrosis / metabolism*
  • Idiopathic Pulmonary Fibrosis / pathology
  • Male
  • Oxidative Stress*
  • Proteome
  • Proteomics* / methods
  • ROC Curve
  • Signal Transduction*

Substances

  • Biomarkers
  • Blood Proteins
  • Haptoglobins
  • Proteome
  • Complement System Proteins