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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

229
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
229

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Related Experiment Video

Updated: Aug 16, 2025

Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease
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Transcriptomic Profiling Unravels Novel Deregulated Gene Signatures Associated with Acute Myocardial Infarction: A

Sanjay Kumar1, Chun-Ming Shih2,3, Lung-Wen Tsai4,5,6

  • 1Department of Life Science, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park-III, Greater Noida 201310, India.

Genes
|December 23, 2022
PubMed
Summary

Researchers identified novel gene signatures and microRNA-660 (miR-660) involved in protecting heart muscle cells after acute myocardial infarction (AMI). These findings may lead to new treatments for heart damage.

Keywords:
NOTCH1 signalingacute myocardial infarctioncardiovascular diseasedifferential expressed genesweighted gene correlation network analysis

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Area of Science:

  • Cardiovascular Biology
  • Molecular Medicine
  • Genomics

Background:

  • Acute myocardial infarction (AMI) causes significant cardiomyocyte loss, leading to high global morbidity and mortality.
  • Understanding gene expression changes in AMI is crucial for developing effective cardioprotective strategies.
  • Current biomarkers for AMI lack clarity regarding their role in mitigating myocardial injury.

Purpose of the Study:

  • To identify novel gene signatures associated with cardioprotection in acute myocardial infarction.
  • To analyze gene expression datasets from AMI patients and healthy controls to find differentially expressed genes (DEGs).
  • To explore potential therapeutic targets for managing myocardial injury.

Main Methods:

  • Analysis of three independent microarray gene expression datasets (85 AMI patients, 70 controls).
  • Utilized 'GEO2R' for identifying differentially expressed genes (DEGs).
  • Applied Weighted Gene Correlation Network Analysis (WGCNA) to identify key gene modules and biomarkers.
  • Used 'Enrichr' for pathway and gene set enrichment analysis.

Main Results:

  • Identified 91 DEGs in AMI patients, including 22 upregulated and 5 downregulated genes.
  • Found specific deregulated genes like ADORA3, BMP6, VPS8, and GPX3 potentially linked to AMI.
  • WGCNA revealed four highly conserved gene modules across all datasets.
  • Uncovered the involvement of miR-660 and STAT1, known to influence AMI severity.

Conclusions:

  • The identified genes and miR-660 may play a critical role in rescuing cardiomyocytes from severe damage.
  • These findings offer potential targets for developing novel therapeutic strategies for acute myocardial infarction management.
  • Further research into these biomarkers could significantly advance the treatment of heart injury.