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Why Do High-Risk Patients Develop or Not Develop Coronary Artery Disease? Metabolic Insights from the CAPIRE Study.
Deidda, Martino; Noto, Antonio; Cadeddu Dessalvi, Christian; Andreini, Daniele; Andreotti, Felicita; Ferrannini, Eleuterio; Latini, Roberto; Maggioni, Aldo P; Magnoni, Marco; Mercuro, Giuseppe.
Afiliação
  • Deidda M; Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.
  • Noto A; Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.
  • Cadeddu Dessalvi C; Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.
  • Andreini D; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Andreotti F; Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, 20138 Milan, Italy.
  • Ferrannini E; Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
  • Latini R; CNR Institute of Clinical Physiology, 56124 Pisa, Italy.
  • Maggioni AP; Mario Negri Institute of Pharmacological Research-IRCCS, 20156 Milan, Italy.
  • Magnoni M; ANMCO Research Center, Heart Care Foundation, 50121 Florence, Italy.
  • Mercuro G; Maria Cecilia Hospital, GVM Care&Research, 48033 Cotignola, Italy.
  • On Behalf Of The Capire Investigators; IRCCS Ospedale San Raffaele, Università Vita-Salute San Raffaele, 20132 Milan, Italy.
Metabolites ; 12(2)2022 01 27.
Article em En | MEDLINE | ID: mdl-35208197
ABSTRACT
Traditional cardiovascular (CV) risk factors (RFs) and coronary artery disease (CAD) do not always show a direct correlation. We investigated the metabolic differences in a cohort of patients with a high CV risk profile who developed, or did not develop, among those enrolled in the Coronary Atherosclerosis in Outlier

Subjects:

Protective and Novel Individual Risk Factors Evaluation (CAPIRE) study. We studied 112 subjects with a high CV risk profile, subdividing them according to the presence (CAD/High-RFs) or absence of CAD (No-CAD/High-RFs), assessed by computed tomography angiography. The metabolic differences between the two groups were identified by gas chromatography-mass spectrometry. Characteristic patterns and specific metabolites emerged for each of the two phenotypic groups high concentrations of pyruvic acid, pipecolic acid, p-cresol, 3-aminoisobutyric acid, isoleucine, glyceric acid, lactic acid, sucrose, phosphoric acid, trimethylamine-N-oxide, 3-hydroxy-3-methylglutaric acid, erythritol, 3-hydroxybutyric acid, glucose, leucine, and glutamic acid; and low concentrations of cholesterol, hypoxanthine, glycerol-3-P, and cysteine in the CAD/High-RFs group vs the No-CAD/High-RFs group. Our results show the existence of different metabolic profiles between patients who develop CAD and those who do not, despite comparable high CV risk profiles. A specific cluster of metabolites, rather than a single marker, appears to be able to identify novel predisposing or protective mechanisms towards CAD beyond classic CVRFs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Metabolites Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Metabolites Ano de publicação: 2022 Tipo de documento: Article