Why Do High-Risk Patients Develop or Not Develop Coronary Artery Disease? Metabolic Insights from the CAPIRE Study.

atherosclerosis cardiovascular risk factors coronary artery diseases metabolomics

Journal

Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790

Informations de publication

Date de publication:
27 01 2022
Historique:
received: 21 12 2021
revised: 19 01 2022
accepted: 21 01 2022
entrez: 25 2 2022
pubmed: 26 2 2022
medline: 26 2 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35208197
pii: metabo12020123
doi: 10.3390/metabo12020123
pmc: PMC8876355
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Martino Deidda (M)

Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.

Antonio Noto (A)

Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.

Christian Cadeddu Dessalvi (C)

Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.

Daniele Andreini (D)

Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, 20138 Milan, Italy.

Felicita Andreotti (F)

Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.

Eleuterio Ferrannini (E)

CNR Institute of Clinical Physiology, 56124 Pisa, Italy.

Roberto Latini (R)

Mario Negri Institute of Pharmacological Research-IRCCS, 20156 Milan, Italy.

Aldo P Maggioni (AP)

ANMCO Research Center, Heart Care Foundation, 50121 Florence, Italy.
Maria Cecilia Hospital, GVM Care&Research, 48033 Cotignola, Italy.

Marco Magnoni (M)

IRCCS Ospedale San Raffaele, Università Vita-Salute San Raffaele, 20132 Milan, Italy.

Giuseppe Mercuro (G)

Department of Medical Sciences and Public Health, University of Cagliari, 09042 Monserrato, Italy.

Classifications MeSH