title: Urinary proteomic biomarkers to predict cardiovascular events.
abstract: OBJECTIVE
  We have previously demonstrated associations between the urinary proteome profile and coronary artery disease (CAD) in cross-sectional studies. Here, we evaluate the potential of a urinary proteomic panel as a predictor of CAD in the hypertensive atherosclerotic cardiovascular disease (HACVD) substudy population of the Anglo-Scandinavian Cardiac Outcomes Trial study.
  
  
  METHODS
  Thirty-seven cases with primary CAD endpoint were matched for sex and age to controls who had not reached a CAD endpoint during the study. Spot urine samples were analyzed using CE coupled to Micro-TOF MS. A previously developed 238-marker CE-MS model for diagnosis of CAD (CAD238 ) was assessed for its predictive potential.
  
  
  RESULTS
  Sixty urine samples (32 cases; 28 controls; 88% male, mean age 64 ± 5 years) were analyzed. There was a trend toward healthier values in controls for the CAD model classifier (-0.432 ± 0.326 versus -0.587 ± 0.297, p = 0.170), and the CAD model showed statistical significance on Kaplan-Meier survival analysis p = 0.021. We found 190 individual markers out of 1501 urinary peptides that separated cases and controls (AUC >0.6). Of these, 25 peptides were also components of CAD238 .
  
  
  CONCLUSIONS
  A urinary proteome panel originally developed in a cross-sectional study predicts CAD endpoints independent of age and sex in a well-controlled prospective study.
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
authors: Catriona E
authors: CE
authors: Brown
authors: Royal College of Surgeons in Ireland, Dublin, Ireland.|University of Western Australia, Perth, Western Australia.
authors: Nina S
authors: NS
authors: McCarthy
authors: Imperial College London, London, UK.
authors: Alun D
authors: AD
authors: Hughes
authors: Imperial College London, London, UK.
authors: Peter
authors: P
authors: Sever
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
authors: Angelique
authors: A
authors: Stalmach
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
authors: William
authors: W
authors: Mullen
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
authors: Anna F
authors: AF
authors: Dominiczak
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
authors: Naveed
authors: N
authors: Sattar
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.|Mosaiques Diagnostics, Hannover, Germany.
authors: Harald
authors: H
authors: Mischak
authors: Imperial College London, London, UK.
authors: Simon
authors: S
authors: Thom
authors: Imperial College London, London, UK.
authors: Jamil
authors: J
authors: Mayet
authors: Royal College of Surgeons in Ireland, Dublin, Ireland.
authors: Alice V
authors: AV
authors: Stanton
authors: Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
authors: Christian
authors: C
authors: Delles
mesh_terms: D000368:Aged; D050197:Atherosclerosis / Q000401:mortality / Q000652:urine; D015415:Biomarkers / Q000652:urine; D016022:Case-Control Studies; D003324:Coronary Artery Disease / Q000401:mortality / Q000652:urine*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D006973:Hypertension / Q000401:mortality / Q000652:urine; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D010446:Peptide Fragments / Q000652:urine*; D011446:Prospective Studies; D020543:Proteome / Q000378:metabolism; D040901:Proteomics
chemical_list: D015415:Biomarkers; D010446:Peptide Fragments; D020543:Proteome
keywords: Biomarker; Cardiovascular risk; Urinary proteomics