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The Echocardiographic Parameters of Systolic Function Are Associated with Specific Metabolomic Fingerprints in Obstructive and Non-Obstructive Hypertrophic Cardiomyopathy.
Deidda, Martino; Noto, Antonio; Pasqualucci, Daniele; Fattuoni, Claudia; Barberini, Luigi; Piras, Cristina; Bassareo, Pier Paolo; Porcu, Maurizio; Mercuro, Giuseppe; Dessalvi, Christian Cadeddu.
Afiliación
  • Deidda M; Department of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.
  • Noto A; Department of Biomedical Sciences, University of Cagliari, 09124 Monserrato, Italy.
  • Pasqualucci D; Cardiothoracic Unit, Azienda Ospedaliera Brotzu, 09134 Cagliari, Italy.
  • Fattuoni C; Department of Chemical and Geological Sciences, University of Cagliari, 09124 Monserrato, Italy.
  • Barberini L; Department of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.
  • Piras C; Department of Biomedical Sciences, University of Cagliari, 09124 Monserrato, Italy.
  • Bassareo PP; School of Medicine, Mater Misericordiae University Hospital and Our Lady's Children's Hospital Crumlin, University College of Dublin, D07 R2WY Dublin, Ireland.
  • Porcu M; Cardiothoracic Unit, Azienda Ospedaliera Brotzu, 09134 Cagliari, Italy.
  • Mercuro G; Department of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.
  • Dessalvi CC; Department of Medical Sciences and Public Health, University of Cagliari, 09124 Monserrato, Italy.
Metabolites ; 11(11)2021 Nov 18.
Article en En | MEDLINE | ID: mdl-34822445
The purpose of this study was to assess whether metabolomics, associated with echocardiography, was able to highlight pathophysiological differences between obstructive (OHCM) or non-obstructive (NOHCM) hypertrophic cardiomyopathy. Thirty-one HCM patients underwent standard and advanced echocardiography; a plasma sample was collected for metabolomic analysis. Results. Patients with OHCM compared with subjects with NOHCM had higher values of 2DLVEF (66.5 ± 3.3% vs. 60.6 ± 1.8%, p < 0.01), S wave (7.6 ± 1.1 vs. 6.3 ± 0.7 cm/s, p < 0.01) and 3D global longitudinal strain (17.2 ± 4.2%, vs. 13.4 ± 1.3%, p < 0.05). A 2-group PLS-Discriminant Analysis was performed to verify whether the two HCM groups differed also based on the metabolic fingerprint. A clear clustering was shown (ANOVA p = 0.014). The most discriminating metabolites resulted as follows: in the NOHCM Group, there were higher levels of threitol, aminomalonic acid, and sucrose, while the OHCM Group presented higher levels of amino acids, in particular those branched chains, of intermediates of glycolysis (lactate) and the Krebs cycle (fumarate, succinate, citrate), of fatty acids (arachidonic acid, palmitoleic acid), of ketone bodies (2-OH-butyrate). Our data point out a different systolic function related to a specific metabolic activity in the two HCM phenotypic forms, with specific metabolites associated with better contractility in OHCM.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Metabolites Año: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Metabolites Año: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza