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Identification of a Multiplex Biomarker Panel for Hypertrophic Cardiomyopathy Using Quantitative Proteomics and Machine Learning
Affiliation:3. UCL MRC Unit for Lifelong Health and Ageing, 1–19 Torrington Place, Fitzrovia, London WC1E 7HB, UK;4. Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St. Bartholomew''s Hospital, West Smithfield, London, EC1A 7BE, UK;5. Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK;6. Institute of Child Health, University College London, London, WC1N 1EH, UK;12. Biostatistics Joint Research Office, University College London, Gower Street, London, WC1E 6BT, UK;8. Department of Perioperative Medicine, St. Bartholomew''s Hospital and Barts Heart Center, West Smithfield, London, EC1A 7BE, UK;9. William Harvey Research Institute, Charterhouse Square, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
Abstract:
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  • Highlights
    • •Quantitative proteomics and machine learning to study plasma biomarkers in HCM.
    • •Six peptides are increased in plasma of LVH+ HCM compared to controls.
    • •Peptide biomarkers correlate with imaging markers of phenotype severity.
    • •Peptide biomarkers correlate with the estimated sudden cardiac death risk.
    Keywords:Cardiovascular Disease  Cardiovascular Function or Biology  Diagnostic  Mass Spectrometry  Multiple Reaction Monitoring
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