Circulating Acylcarnitines Associated with Hypertrophic Cardiomyopathy Severity: an Exploratory Cross-Sectional Study in MYBPC3 Founder Variant Carriers
Year: 2023
Type: article
Study design: Observational Study
Abstract: Hypertrophic cardiomyopathy (HCM) is a relatively common genetic heart disease characterised by myocardial hypertrophy. HCM can cause outflow tract obstruction, sudden cardiac death and heart failure, but severity is highly variable. In this exploratory cross-sectional study, circulating acylcarnitines were assessed as potential biomarkers in 124 MYBPC3 founder variant carriers (59 with severe HCM, 26 with mild HCM and 39 phenotype-negative [G + P-]). Elastic net logistic regression identified eight acylcarnitines associated with HCM severity. C3, C4, C6-DC, C8:1, C16, C18 and C18:2 were significantly increased in severe HCM compared to G + P-, and C3, C6-DC, C8:1 and C18 in mild HCM compared to G + P-. In multivariable linear regression, C6-DC and C8:1 correlated to log-transformed maximum wall thickness (coefficient 5.01, p = 0.005 and coefficient 0.803, p = 0.007, respectively), and C6-DC to log-transformed ejection fraction (coefficient -2.50, p = 0.004). Acylcarnitines seem promising biomarkers for HCM severity, however prospective studies are required to determine their prognostic value.
Institutions: Utrecht University, University Medical Center Utrecht, Netherlands Heart Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam Cardiovascular Sciences, University College London, University Medical Center Groningen, University of Groningen, Amsterdam University Medical Centers, University of Amsterdam, Radboud University Medical Center, Amsterdam UMC Location Vrije Universiteit Amsterdam, Erasmus MC, Health Data Research UK
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,190
Awards: G1600948910, G1636117445, Predicting patient relevant outcomes in people with diabetes through integration of electronic healthcare records, genomics and machine learning, G2241828063, G3708580702, Accelerator Award, Evaluating combination therapeutics for CVD prevention using Mendelian randomisation and phenome-wide scans, G5605945002, G8264949757
OpenAlex ID: W4379508996
