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Myocardial infarction complexity: A multi-omics approach.

Xiaolan Liu1, Lulu Wang1, Yan Wang1

  • 1School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|November 26, 2023
PubMed
Summary
This summary is machine-generated.

Myocardial infarction (MI) research uses advanced

Keywords:
BiomarkerMulti-omicsMyocardial infarctionPathway

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Area of Science:

  • Cardiovascular Research
  • Genomics and Omics Studies

Background:

  • Myocardial infarction (MI) is a leading cause of cardiovascular disease, driven by coronary artery thrombus formation.
  • Current diagnostic and prognostic methods for MI have limitations, necessitating deeper understanding of its pathogenesis.
  • Genomics and related omics technologies offer powerful tools for identifying novel MI biomarkers.

Purpose of the Study:

  • To review the application of genomics, proteomics, transcriptomics, and metabolomics in myocardial infarction research.
  • To explore integrated multi-omics approaches for elucidating MI mechanisms.
  • To identify key metabolites and proteins involved in MI pathogenesis.

Main Methods:

  • Comprehensive review of existing genomics, proteomics, transcriptomics, and metabolomics studies on MI.
  • Utilized STRING and Metascape platforms for integrated protein-protein interaction and multi-omics analysis.
  • Investigated metabolites and proteins implicated in MI pathogenesis.

Main Results:

  • Omics technologies are crucial for uncovering complex mechanisms underlying myocardial infarction.
  • Integrated analysis identified key proteins and metabolites involved in MI.
  • Multi-omics approaches enhance the understanding of MI pathogenesis.

Conclusions:

  • Omics research, including genomics and multi-omics, holds significant promise for advancing myocardial infarction understanding.
  • Continued exploration of omics data will likely yield new diagnostic and prognostic biomarkers for MI.
  • Future research directions in MI should leverage integrated omics strategies.