Metabolic profiles identify circulating biomarkers associated with heart failure in young single ventricle patients

被引:8
作者
O'Connell, Thomas M. [1 ,2 ,3 ]
Logsdon, David L. [2 ,3 ]
Mitscher, Gloria [4 ,5 ]
Payne, R. Mark [4 ,5 ]
机构
[1] Indiana Univ Sch Med, Dept Otolaryngol Head & Neck Surg, 1300 W Michigan St,Suite 400, Indianapolis, IN 46202 USA
[2] Indiana Univ Sch Med, Dept Anat Cell Biol & Physiol, Indianapolis, IN 46202 USA
[3] Indiana Univ Sch Med, Indiana Ctr Musculoskeletal Hlth, Indianapolis, IN 46202 USA
[4] Indiana Univ Sch Med, Dept Pediat, Div Cardiol, Indianapolis, IN 46202 USA
[5] Indiana Univ Sch Med, Dept Pediat, Herman B Wells Ctr Pediat Res, Indianapolis, IN 46202 USA
关键词
Single ventricle; Metabolomics; Heart failure; Biomarker; Children; LONG-TERM OUTCOMES; BILE-ACIDS; FOLLOW-UP; DISEASE; CHILDREN; SERUM; RISK;
D O I
10.1007/s11306-021-01846-8
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Children and young adults with single ventricle (SV) heart disease frequently develop heart failure (HF) that is intractable and difficult to treat. Our understanding of the molecular and biochemical reasons underlying this is imperfect. Thus, there is an urgent need for biomarkers that predict outcome and provide a rational basis for treatment, and advance our understanding of the basis of HF. Objective We sought to determine if a metabolomic approach would provide biochemical signatures of HF in SV children and young adults. If significant, these analytes might serve as biomarkers to predict outcome and inform on the biological mechanism(s) of HF. Methods We applied a multi-platform metabolomics approach composed of mass spectrometry (MS) and nuclear magnetic resonance (NMR) which yielded 495 and 26 metabolite measurements respectively. The plasma samples came from a cross-sectional set of young SV subjects, ages 2-19 years with ten control (Con) subjects and 16 SV subjects. Of the SV subjects, nine were diagnosed as congestive HF (SVHF), and 7 were not in HF. Metabolomic data were correlated with clinical status to determine if there was a signature associated with HF. Results There were no differences in age, height, weight or sex between the 3 cohorts. However, statistical analysis of the metabolomic profiles using ANOVA revealed 44 metabolites with significant differences between cohorts including 41 profiled by MS and 3 by NMR. These metabolites included acylcarnitines, amino acids, and bile acids, which distinguished Con from all SV subjects. Furthermore, metabolite profiles could distinguish between SV and SVHF subjects. Conclusion These are the first data to demonstrate a clear metabolomic signature associated with HF in children and young adults with SV. Larger studies are warranted to determine if these findings are predictive of progression to HF in time to provide intervention.
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页数:10
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