Circulating metabolome does not predict development of aortic stenosis

Abstract

Abstract Background Calcific aortic valve disease (CAVD) is the most common valvular heart disease in Western world. CAVD is ranging from mild aortic valve sclerosis to severe obstructive aortic stenosis (AS). The development of AS has been associated with several risk factors including age, sex and hypertension. However, there is limited knowledge about factors that predict the development of aortic stenosis. Purpose We investigated if the circulating metabolite profile can predict the development of aortic stenosis in Finnish males. Methods We did a non-targeted LC-MS metabolomics analysis to baseline (1984–1989) serum samples from a prospective population-based Kuopio Ischemic Heart Disease risk factor study (KIHD) cohort of 2682 random Finnish males aged from 42 to 60 years. During the follow-up (until year 2020), 53 subjects developed either moderate (peak flow gradient 36–64mmHg or mean flow gradient 20–40mmHg) or severe aortic valvular stenosis (peak flow gradient over 64mmHg or mean gradient over 40mmHg). The AS patients were collected from the KIHD database using appropriate ICD-10 -codes for aortic valvular disease (from baseline to the end of the year 2017) and the diagnosis was checked manually using hospital medical records of the individuals. Results The AS patients seemed to have altered lipid metabolism and possibly altered composition of gut microbiota, since several acylcarnitines (e.g. octanoylcarnitine [Cohen's d=−0.40], decanoylcarnitine [d=−0.43], layroylcarnitine [d=−0.41], and oleoylcarnitine [d=−0.40]), and branched chain amino acids (BCAA, e.g. leucine [d=0.39], and isoleucine [d=0.49]) had p-values below 0.05. However, after correction for multiple testing, there were no significant differences between the cases and controls. Conclusions The present preliminary results, in need of verification with a larger set of samples, suggest that subjects, who will later develop AS might have reduced levels of acylcarnitines and increased levels of BCAA when compared to matched controls. However, these changes do not have large effects sizes and are likely not good candidates for biomarkers to predict future diagnosis of AS. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): The Finnish Cultural Foundation, The Finnish Foundation for Cardiovascular Research.