Why the study?
Cardiac dysfunction and heart failure are common in single-ventricle congenital heart disease, but predicting heart failure progression has been limited by incomplete understanding of disease pathogenesis.
Does serum metabolic profiling identify biomarkers that discriminate between failing and non-failing single-ventricle heart disease in pediatric patients?
Does serum metabolic profiling identify biomarkers that discriminate between failing and non-failing single-ventricle heart disease in pediatric patients?
Serum metabolic profiling identified specific circulating metabolites that can discriminate between failing and non-failing single-ventricle heart disease in pediatric patients, offering potential novel biomarkers for risk stratification.
Metabolomics may aid HF risk prediction in single-ventricle patients; hypothesis-generating and requires prospective validation before clinical use.
There are growing numbers of infants and children living with single-ventricle congenital heart disease (SV). However, cardiac dysfunction and, ultimately, heart failure (HF) are common in the SV population and the ability to predict the progression to HF in SV patients has been limited, primarily due to an incomplete understanding of the disease pathogenesis. Here, we tested the hypothesis that non-invasive circulating metabolomic profiles can serve as novel biomarkers in the SV population. We performed systematic metabolomic and pathway analyses on a subset of pediatric SV non-failing (SVNF) and failing (SVHF) serum samples, compared with samples from biventricular non-failing (BVNF) controls. We determined that serum metabolite panels were sufficient to discriminate SVHF subjects from BVNF subjects, as well as SVHF subjects from SVNF subjects. Many of the identified significantly dysregulated metabolites were amino acids, energetic intermediates and nucleotides. Specifically, we identified pyruvate, palmitoylcarnitine, 2-oxoglutarate and GTP as promising circulating biomarkers that could be used for SV risk stratification, monitoring response to therapy and even as novel targets of therapeutic intervention in a population with few other options.
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Silva et al. (2022) studied this question.
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