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Untargeted metabolomic analysis of coronary artery disease patients with diastolic dysfunction show disturbed oxidative pathway.
Fatima, Tamkeen; Hashmi, Satwat; Iqbal, Ayesha; Siddiqui, Amna Jabbar; Sami, Shahid A; Basir, Najeeb; Bokhari, Syeda Saira; Sharif, Hasanat; Musharraf, Syed Ghulam.
Affiliation
  • Fatima T; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
  • Hashmi S; Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
  • Iqbal A; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
  • Siddiqui AJ; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
  • Sami SA; Department of Surgery, Aga Khan University, Karachi, Pakistan.
  • Basir N; Department of Medicine, Aga Khan University, Karachi, Pakistan.
  • Bokhari SS; Department of Medicine, Aga Khan University, Karachi, Pakistan.
  • Sharif H; Department of Surgery, Aga Khan University, Karachi, Pakistan.
  • Musharraf SG; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan. musharraf1977@yahoo.com.
Metabolomics ; 15(7): 98, 2019 06 24.
Article in En | MEDLINE | ID: mdl-31236740
INTRODUCTION: Left ventricular diastolic dysfunction (LVDD) is common in patients with coronary artery disease (CAD) with prevalence estimates of 34% and constitutes a predictor of all-cause mortality. Although diastolic dysfunction is induced by myocardial ischemia and has been shown to alter the clinical course, the role of coronary artery disease in the diastolic dysfunction and its progression into heart failure has not been completely elucidated. OBJECTIVE: The present study was conducted to identify possible metabolites in coronary artery disease patients that are differentially regulated in patients with diastolic dysfunction. METHODS: The serum of CAD (n = 75) patients and young healthy volunteers (n = 43) were analysed by using gas chromatography mass spectrometry (GC-MS) technique. Pre-processing of data results in 1547 features; among them 1064 features were annotated using NIST library. RESULTS AND CONCLUSION: Fifteen metabolites were found to be statistically different between cases and control. Variation in metabolites were identified and correlated with several clinically important echocardiography parameters i.e. LVDD grades, ejection fraction (EF) and E/e' values. The results suggested that metabolic products of fatty acid oxidation and glucose oxidation pathways such as oleic acid, stearic acid, palmitic acid, linoleic acid, galactose, pyruvic and lactic acids are predominantly up regulated in patients with coronary artery disease and severity of diastolic dysfunction appears to be linked to increase in fatty acid oxidation and inflammation. The metabolic fingerprints of these patients give us an insight into the pathophysiological mechanism of diastolic dysfunction in coronary artery disease patients although it did not identify validated novel markers.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Ventricular Dysfunction, Left / Oxidative Stress / Metabolome / Metabolomics Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Metabolomics Year: 2019 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Ventricular Dysfunction, Left / Oxidative Stress / Metabolome / Metabolomics Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Metabolomics Year: 2019 Document type: Article Affiliation country: Country of publication: