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Proteomics Clin Appl. 2015 Jun;9(5-6):610-7. doi: 10.1002/prca.201400195. Epub 2015 May 15.

Urinary proteomic biomarkers to predict cardiovascular events.

Author information

1
Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
2
Royal College of Surgeons in Ireland, Dublin, Ireland.
3
University of Western Australia, Perth, Western Australia.
4
Imperial College London, London, UK.
5
Mosaiques Diagnostics, Hannover, Germany.

Abstract

PURPOSE:

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.

EXPERIMENTAL DESIGN:

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 .

CONCLUSION AND CLINICAL RELEVANCE:

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.

KEYWORDS:

Biomarker; Cardiovascular risk; Urinary proteomics

PMID:
25786980
DOI:
10.1002/prca.201400195
[Indexed for MEDLINE]

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