Metabolomics Study Revealing the Potential Risk and Predictive Value of Fragmented QRS for Acute Myocardial

Jiankang Li1, Wenting Duan2, Lin Wang3

  • 1Institute of Medical Research, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an 710072, Shaanxi, China.

Insights

Nonobstructive coronary artery disease (NOCAD) patients face high acute myocardial infarction (AMI) risks. Metabolomics identified key serum metabolites and fragmented QRS (fQRS) that predict AMI prognosis after percutaneous coronary intervention (PCI).

Area of Science:

  • Cardiology
  • Metabolomics
  • Biochemistry

Background:

  • Nonobstructive coronary artery disease (NOCAD) patients exhibit elevated risks for acute myocardial infarction (AMI).
  • Fragmented QRS (fQRS) on electrocardiograms shows predictive value for AMI outcomes post-percutaneous coronary intervention (PCI).

Purpose of the Study:

  • To identify differential serum metabolites distinguishing NOCAD from AMI patients.
  • To elucidate the prognostic value of identified metabolites and fQRS in AMI patients undergoing PCI.
  • To clarify the underlying mechanisms linking fQRS to AMI prognosis.

Main Methods:

  • A cohort of 254 participants (136 NOCAD, 118 AMI) was analyzed.
  • Comprehensive serum metabolomics was performed using UPLC-Q/TOF-MS.
  • Multivariate statistical analyses, including OPLS-DA, and hazard ratio calculations were employed.

Main Results:

  • Twenty-three differential metabolites were identified between NOCAD and AMI patients.
  • Four specific metabolites (acetylglycine, threoninyl-glycine, glutarylglycine, nonanoylcarnitine) differentiated fQRS from non-fQRS in AMI patients.
  • Hazard ratios indicated associations between these metabolites and risks of cardiac death, recurrent angina, readmissions, and major adverse cardiovascular events.

Conclusions:

  • Novel differential metabolites were identified that distinguish NOCAD from AMI.
  • Metabolites and fQRS provide prognostic insights for AMI patients post-PCI, potentially clarifying fQRS's predictive mechanism.
  • Findings offer new perspectives on risks and prognosis in AMI, aiding clinical management.