Edinburgh Research Explorer

Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD

Research output: Contribution to journalArticle

  • Baljit K Ubhi
  • Kian Kai Cheng
  • Jiyang Dong
  • Tobias Janowitz
  • Duncan Jodrell
  • Ruth Tal-Singer
  • William MacNee
  • David A Lomas
  • John H Riley
  • Julian L Griffin
  • Susan C Connor

Related Edinburgh Organisations

Original languageEnglish
Pages (from-to)3125-33
Number of pages9
JournalMolecular BioSystems
Issue number12
Publication statusPublished - 30 Oct 2012


COPD, a leading cause of mortality is currently assessed by spirometry (forced expiratory volume in 1 second, FEV(1)). However FEV(1) does not correlate with patient mortality. ECLIPSE (Evaluation of Chronic obstructive pulmonary disease to Longitudinally Identify Predictive Surrogate Endpoints) aims to identify biomarkers that correlate with clinically relevant COPD subtypes, and to assess how these may predict disease progression. New methods were developed and validated to evaluate small molecules as potential diagnostic tools in patients with COPD, COPD related cachexia and cancer related cachexia.

    Research areas

  • Aged, Amino Acids, Biological Markers, Body Mass Index, Cachexia, Disease Progression, Female, Humans, Longitudinal Studies, Male, Metabolomics, Middle Aged, Pancreatic Neoplasms, Pulmonary Disease, Chronic Obstructive, Pulmonary Emphysema, Respiratory Function Tests, Severity of Illness Index, Smoking, Tandem Mass Spectrometry, gamma-Aminobutyric Acid

ID: 15020281