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Protein Biomarkers of New-Onset Cardiovascular Disease: Prospective Study From the Systems Approach to Biomarker Research in Cardiovascular Disease Initiative

Arteriosclerosis, thrombosis, and vascular biology, 2014-04, Vol.34 (4), p.939-945 [Peer Reviewed Journal]

2014 American Heart Association, Inc. ;ISSN: 1079-5642 ;EISSN: 1524-4636 ;DOI: 10.1161/ATVBAHA.113.302918 ;PMID: 24526693

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  • Title:
    Protein Biomarkers of New-Onset Cardiovascular Disease: Prospective Study From the Systems Approach to Biomarker Research in Cardiovascular Disease Initiative
  • Author: Yin, Xiaoyan ; Subramanian, Subha ; Hwang, Shih-Jen ; O’Donnell, Christopher J ; Fox, Caroline S ; Courchesne, Paul ; Muntendam, Pieter ; Gordon, Neal ; Adourian, Aram ; Juhasz, Peter ; Larson, Martin G ; Levy, Daniel
  • Subjects: Aged ; Biomarkers - blood ; Blood Proteins - analysis ; Case-Control Studies ; Decision Support Techniques ; Female ; Humans ; Incidence ; Male ; Mass Spectrometry ; Massachusetts - epidemiology ; Middle Aged ; Myocardial Infarction - blood ; Myocardial Infarction - epidemiology ; Prognosis ; Prospective Studies ; Proteomics - methods ; Risk Assessment ; Risk Factors ; Systems Biology - methods
  • Is Part Of: Arteriosclerosis, thrombosis, and vascular biology, 2014-04, Vol.34 (4), p.939-945
  • Description: OBJECTIVE—Incorporation of novel plasma protein biomarkers may improve current models for prediction of atherosclerotic cardiovascular disease (ASCVD) risk. APPROACH AND RESULTS—We used discovery mass spectrometry (MS) to determine plasma concentrations of 861 proteins in 135 myocardial infarction (MI) cases and 135 matched controls. Then, we measured 59 markers by targeted MS in 336 ASCVD case–control pairs. Associations with MI or ASCVD were tested in single-marker and multiple-marker analyses adjusted for established ASCVD risk factors. Twelve single markers from discovery MS were associated with MI incidence (at P<0.01), adjusting for clinical risk factors. Seven proteins in aggregate (cyclophilin A, cluster of differentiation 5 molecule [CD5] antigen-like, cell-surface glycoprotein mucin cell surface associated protein 18 [MUC-18], collagen-α 1 [XVIII] chain, salivary α-amylase 1, C-reactive protein, and multimerin-2) were highly associated with MI (P<0.0001) and significantly improved its prediction compared with a model with clinical risk factors alone (C-statistic of 0.71 versus 0.84). Through targeted MS, 12 single proteins were predictors of ASCVD (at P<0.05) after adjusting for established risk factors. In multiple-marker analyses, 4 proteins in combination (α-1–acid glycoprotein 1, paraoxonase 1, tetranectin, and CD5 antigen-like) predicted incident ASCVD (P<0.0001) and moderately improved the C-statistic from the model with clinical covariates alone (C-statistic of 0.69 versus 0.73). CONCLUSIONS—Proteomics profiling identified single- and multiple-marker protein panels that are associated with new-onset ASCVD and may lead to a better understanding of underlying disease mechanisms. Our findings include many novel protein biomarkers that, if externally validated, may improve risk assessment for MI and ASCVD.
  • Publisher: United States: American Heart Association, Inc
  • Language: English
  • Identifier: ISSN: 1079-5642
    EISSN: 1524-4636
    DOI: 10.1161/ATVBAHA.113.302918
    PMID: 24526693
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    MEDLINE
    Alma/SFX Local Collection
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