Recent insights into human bronchial proteomics - how are we progressing and what is next?

Expert Rev Proteomics. 2018 Feb;15(2):113-130. doi: 10.1080/14789450.2017.1417847. Epub 2017 Dec 20.

Abstract

The human respiratory system is highly prone to diseases and complications. Many lung diseases, including lung cancer (LC), tuberculosis (TB), and chronic obstructive pulmonary disease (COPD) have been among the most common causes of death worldwide. Cystic fibrosis (CF), the most common genetic disease in Caucasians, has adverse impacts on the lungs. Bronchial proteomics plays a significant role in understanding the underlying mechanisms and pathogenicity of lung diseases and provides insights for biomarker and therapeutic target discoveries. Areas covered: We overview the recent achievements and discoveries in human bronchial proteomics by outlining how some of the different proteomic techniques/strategies are developed and applied in LC, TB, COPD, and CF. Also, the future roles of bronchial proteomics in predictive proteomics and precision medicine are discussed. Expert commentary: Much progress has been made in bronchial proteomics. Owing to the advances in proteomics, we now have better ability to isolate proteins from desired cellular compartments, greater protein separation methods, more powerful protein detection technologies, and more sophisticated bioinformatic techniques. These all contributed to our further understanding of lung diseases and for biomarker and therapeutic target discoveries.

Keywords: COPD; Lung cancer; cystic fibrosis; mass spectrometry; precision medicine; predictive proteomics; tuberculosis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Biomarkers / metabolism
  • Bronchi / metabolism*
  • Bronchial Diseases / diagnosis
  • Bronchial Diseases / metabolism*
  • Humans
  • Lung Diseases / diagnosis
  • Lung Diseases / metabolism*
  • Molecular Diagnostic Techniques / methods*
  • Precision Medicine / methods
  • Proteomics / methods*

Substances

  • Biomarkers