Login / Signup

Metabolomics of World Trade Center-Lung Injury: a machine learning approach.

George CrowleySophia KwonSyed Hissam HaiderErin J CaraherRachel LamDavid E St-JulesMengling LiuDavid J PrezantAnna Nolan
Published in: BMJ open respiratory research (2018)
Analysis of the metabolome of WTC-exposed 9/11 rescue workers has identified biologically plausible pathways associated with loss of lung function. Since metabolites are proximal markers of disease processes, metabolites could capture the complexity of past exposures and better inform treatment. These pathways warrant further mechanistic research.
Keyphrases
  • lung function
  • air pollution
  • machine learning
  • ms ms
  • cystic fibrosis
  • chronic obstructive pulmonary disease
  • mass spectrometry
  • artificial intelligence