Serum Metabolomic Profiling for Acute Myocardial Infarction Based on Nuclear Magnetic Resonance Spectroscopy

Area of Science:

• Cardiovascular metabolomics
• Biomarker discovery
• Nuclear Magnetic Resonance (NMR) spectroscopy

Background:

• Acute myocardial infarction (AMI) poses a significant global health burden, necessitating improved diagnostic tools.
• Current diagnostic methods for AMI face limitations in speed and accuracy, highlighting the need for novel biomarkers.
• Early and precise diagnosis of AMI is crucial for effective patient management and prognosis.

Purpose of the Study:

• To identify differential serum metabolites in AMI patients compared to healthy controls using 1H NMR.
• To explore the metabolic pathways associated with AMI.
• To validate the diagnostic potential of identified metabolites for AMI.

Main Methods:

• Serum samples from 32 AMI patients and 42 healthy controls were analyzed using 1H NMR spectroscopy.
• Multivariate data analysis was employed for biomarker identification and screening.
• Metabolic pathway analysis was performed using MetaboAnalyst 5.0.
• Spearman correlation analysis assessed biomarker relationships with clinical variables.
• Receiver operating characteristic (ROC) curves were used to evaluate diagnostic performance.

Main Results:

• Thirteen representative metabolites were identified as potential AMI biomarkers.
• Ten metabolites were upregulated, and three were downregulated in AMI patients compared to controls.
• Coordinated metabolic reprogramming was observed in energy, amino acid, and lipid metabolism.
• A diagnostic model based on key metabolites demonstrated effective discrimination between AMI patients and healthy controls.

Conclusions:

• Metabolomic signatures of AMI were revealed, offering insights into disease pathophysiology.
• Novel potential biomarkers for early AMI diagnosis were identified.
• The findings provide a foundation for metabolomics research in cardiovascular diseases and potential clinical applications.