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Updated: Jan 23, 2026

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
Untargeted metabolomic analysis of coronary artery disease patients with diastolic dysfunction show disturbed
Tamkeen Fatima1, Satwat Hashmi2, Ayesha Iqbal1
1Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
Insights
Coronary artery disease patients with diastolic dysfunction show altered levels of fatty acid and glucose oxidation metabolites. Increased fatty acid oxidation and inflammation correlate with diastolic dysfunction severity in these patients.
Area of Science:
- Cardiology
- Metabolomics
- Biochemistry
Background:
- Left ventricular diastolic dysfunction (LVDD) affects 34% of coronary artery disease (CAD) patients and predicts mortality.
- The precise role of CAD in LVDD progression to heart failure remains unclear.
Purpose of the Study:
- To identify differential metabolites in CAD patients with LVDD.
- To elucidate the pathophysiological mechanisms linking CAD, LVDD, and heart failure.
Main Methods:
- Serum samples from 75 CAD patients and 43 healthy controls were analyzed using gas chromatography-mass spectrometry (GC-MS).
- 1547 features were identified, with 1064 annotated.
- Metabolite variations were correlated with echocardiographic parameters (LVDD grade, EF, E/e').
Main Results:
- Fifteen metabolites showed statistically significant differences between CAD patients and controls.
- Up-regulation of fatty acid oxidation products (e.g., oleic, stearic, palmitic, linoleic acids) and glucose oxidation products (galactose, pyruvic, lactic acids) was observed in CAD patients.
- Increased fatty acid oxidation and inflammation correlated with LVDD severity.
Conclusions:
- Metabolic fingerprints provide insight into LVDD pathophysiology in CAD.
- While not identifying novel validated markers, the study links metabolic alterations to diastolic dysfunction severity in CAD.
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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