Recent progress in metabolomic analysis of acute coronary syndrome: a narrative review

Jiaqi Liu1, Tingmiao Li1, Xin Qi1

  • 1Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China.

Insights

Metabolomics research identifies key metabolites like tryptophan and glutamine as potential biomarkers for acute coronary syndrome (ACS). These findings aid in diagnosing ACS and understanding how drugs modify metabolic pathways for better treatment.

Area of Science:

  • Cardiovascular Medicine
  • Metabolomics
  • Biomarker Discovery

Background:

  • Acute coronary syndrome (ACS) is a prevalent cardiovascular disease with high morbidity and mortality.
  • ACS is primarily caused by vulnerable plaque rupture or erosion, leading to thrombotic events and myocardial damage.
  • Identifying reliable biomarkers and understanding metabolic pathway modifications are crucial for ACS management.

Purpose of the Study:

  • To review literature on metabolomic biomarkers for acute coronary syndrome (ACS).
  • To explore the modification of ACS-related metabolic pathways through drug interventions.
  • To provide clarity on potential diagnostic and prognostic biomarkers for ACS identified to date.

Main Methods:

  • Literature review conducted using PubMed.
  • Inclusion of English articles from January 1, 2014, to December 3, 2024.
  • Focus on clinical trials, randomized controlled trials, and metabolomics studies in ACS.

Main Results:

  • Metabolomic analysis reveals significant alterations in amino acids, lipids, and carbohydrates in ACS patients.
  • Tryptophan and glutamine are identified as potential diagnostic biomarkers for ACS.
  • Mannitol and ceramide show promise as prognostic biomarkers for ACS.

Conclusions:

  • Metabolomics-based studies offer significant potential for identifying ACS-related metabolic features.
  • These findings can enhance the discovery of biomarkers for ACS diagnosis and prognosis.
  • Metabolomics aids in understanding drug therapy mechanisms for ACS.
Abstract

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