Observational studyMolecular & cellular proteomics : MCP2020
Identification of a Multiplex Biomarker Panel for Hypertrophic Cardiomyopathy Using Quantitative Proteomics and Machine Learning.
Observational study in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Phenotypic Spectrum of Subclinical Sarcomere-Related Hypertrophic Cardiomyopathy and Transition to Overt Disease.Circulation. Genomic and precision medicine · 2024Pooled it
- Blood-based biomarkers for the prediction of hypertrophic cardiomyopathy prognosis: a systematic review and meta-analysis.ESC heart failure · 2022Pooled it
- Proteomic Analysis of Valsartan for Attenuating Disease Evolution in Early Sarcomeric Hypertrophic Cardiomyopathy (VANISH) Clinical Trial.Circulation. Heart failure · 2025Trial
- Investigation of plasma-derived extracellular vesicles in hypertrophic cardiomyopathy patients.iScience · 2026Article
- Understanding Pathophysiological Complexity of Feline Hypertrophic Cardiomyopathy Using SWATH-MS Plasma Proteomics.Animals : an open access journal from MDPI · 2026Article
- The Latest Advances in Omics Technology for Assessing Tissue Damage: Implications for the Study of Sudden Cardiac Death.International journal of molecular sciences · 2025Review
- Matrisome remodeling in the myocardium of hypertrophic cardiomyopathy; novel targets for molecular diagnostics.Frontiers in cell and developmental biology · 2025Review
- Putative role of TMEM165 in congenital cardiomyopathies.Frontiers in molecular neuroscience · 2025Review
- Metabolomics and lipidomics of plasma biomarkers for tuberculosis diagnostics using UHPLC-HRMS.Frontiers in cellular and infection microbiology · 2025Article
- Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using plasma proteomics profiling.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Integrative proteomic and metabolomic elucidation of cardiomyopathy with in vivo and in vitro models and clinical samples.Molecular therapy : the journal of the American Society of Gene Therapy · 2024Review
- Proteomic Characterisation of Heart Failure Reveals a Unique Molecular Phenotype for Hypertrophic Cardiomyopathy.Biomedicines · 2024Article
- Proteomics analysis of coronary atherosclerotic heart disease with different Traditional Chinese Medicine syndrome types before and after percutaneous coronary intervention.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Article
- Novel Multiplexed Plasma Biomarker Panel Has Diagnostic and Prognostic Potential in Children With Hypertrophic Cardiomyopathy.Circulation. Genomic and precision medicine · 2024Article
- Biomarkers and Proteomics in Sarcomeric Hypertrophic Cardiomyopathy in the Young-FGF-21 Highly Associated with Overt Disease.Journal of cardiovascular development and disease · 2024Article
- Circulating microRNA as promising biomarkers in hypertrophic cardiomyopathy: can advanced cardiac magnetic resonance unlock new insights in research?Experimental biology and medicine (Maywood, N.J.) · 2024Review
- Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics.Heart (British Cardiac Society) · 2023Article
- The role of glycolytic metabolic pathways in cardiovascular disease and potential therapeutic approaches.Basic research in cardiology · 2023Review
- A Multiplexed Urinary Biomarker Panel Has Potential for Alzheimer's Disease Diagnosis Using Targeted Proteomics and Machine Learning.International journal of molecular sciences · 2023Article
- Detection of subclinical hypertrophic cardiomyopathy.Nature reviews. Cardiology · 2023Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 3 countries.
Funding
Abstract
Hypertrophic cardiomyopathy (HCM) is defined by pathological left ventricular hypertrophy (LVH). It is the commonest inherited cardiac condition and a significant number of high risk cases still go undetected until a sudden cardiac death (SCD) event. Plasma biomarkers do not currently feature in the assessment of HCM disease progression, which is tracked by serial imaging, or in SCD risk stratification, which is based on imaging parameters and patient/family history. There is a need for new HCM plasma biomarkers to refine disease monitoring and improve patient risk stratification. To identify new plasma biomarkers for patients with HCM, we performed exploratory myocardial and plasma proteomics screens and subsequently developed a multiplexed targeted liquid chromatography-tandem/mass spectrometry-based assay to validate the 26 peptide biomarkers that were identified. The association of discovered biomarkers with clinical phenotypes was prospectively tested in plasma from 110 HCM patients with LVH (LVH+ HCM), 97 controls, and 16 HCM sarcomere gene mutation carriers before the development of LVH (subclinical HCM). Six peptides (aldolase fructose-bisphosphate A, complement C3, glutathione S-transferase omega 1, Ras suppressor protein 1, talin 1, and thrombospondin 1) were increased significantly in the plasma of LVH+ HCM compared with controls and correlated with imaging markers of phenotype severity: LV wall thickness, mass, and percentage myocardial scar on cardiovascular magnetic resonance imaging. Using supervised machine learning (ML), this six-biomarker panel differentiated between LVH+ HCM and controls, with an area under the curve of ≥ 0.87. Five of these peptides were also significantly increased in subclinical HCM compared with controls. In LVH+ HCM, the six-marker panel correlated with the presence of nonsustained ventricular tachycardia and the estimated five-year risk of sudden cardiac death. Using quantitative proteomic approaches, we have discovered six potentially useful circulating plasma biomarkers related to myocardial substrate changes in HCM, which correlate with the estimated sudden cardiac death risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.