Analysis by proteomics reveals unique circulatory proteins in idiopathic pulmonary fibrosis

Yuben P. Moodley, Tamera J. Corte, Brian G. Oliver, Ian N. Glaspole, Andreja Livk, Jason Ito, Kirsten Peters, Richard Lipscombe, Tammy Casey, Dino B.A. Tan

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)

Abstract

Background and objective: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic disease that has a poor 3-year median survival rate with unclear pathophysiology. Radiological features include bibasal, subpleural fibrosis and honeycombing while its pathology is characterized by fibroblastic foci and honeycombing. Proteomic analysis of circulating molecules in plasma may identify factors that characterize IPF and may assist in the diagnosis, prognostication and determination of pathogenic pathways in this condition. Methods: Two independent quantitative proteomic techniques were used, isobaric tags for relative and absolute quantitation (iTRAQ) and multiple reaction monitoring (MRM), to identify differentially expressed plasma proteins in a group of IPF patients in comparison to healthy controls with normal lung function matched for age and gender. Results: Five proteins were identified to be differentially expressed in IPF compared to healthy controls (upregulation of platelet basic protein and downregulation of actin, cytoplasmic 2, antithrombin-III, extracellular matrix protein-1 and fibronectin). Conclusion: This study further validates the combinational use of non-targeted discovery proteomics (iTRAQ) with targeted quantitation by mass spectrometry (MRM) of soluble biomarkers to identify potentially important molecules and pathways for pulmonary diseases such as IPF.

Original languageEnglish
Pages (from-to)1111-1114
Number of pages4
JournalRespirology
Volume24
Issue number11
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • idiopathic pulmonary fibrosis
  • isobaric tags for relative and absolute quantitation
  • multiple reaction monitoring
  • proteomics

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