Utility of miRNA biomarkers in patients with acute myocardial infarction (UNIAMI)—results from a prospective pilot study - Report - MDSpire

Utility of miRNA biomarkers in patients with acute myocardial infarction (UNIAMI)—results from a prospective pilot study

  • By

  • Chakradhara Rao S. Uppugunduri

  • Koustav Sarkar

  • Oishi Mukherjee

  • Kaviya Manoharan

  • Iyshwarya B. K

  • Melvin George

  • June 11, 2026

  • 0 min

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Clinical Report: Exploring the Role of miRNA Biomarkers in Acute Myocardial Infarction Patients

Overview

This study investigates the expression of circulating microRNAs (miRNAs) in patients with acute myocardial infarction (AMI) compared to stable coronary artery disease (CAD) patients and healthy controls. Significant upregulation and downregulation of specific miRNAs were identified, indicating their potential as biomarkers for AMI.

Background

Acute myocardial infarction (AMI) is a major global health concern, particularly in South Asian populations where it occurs at an earlier age and with greater severity. The identification of reliable biomarkers for early diagnosis and prognosis of AMI is crucial for improving patient outcomes. Circulating microRNAs (miRNAs) have emerged as promising non-invasive biomarkers that may enhance our understanding of the molecular mechanisms underlying AMI.

Data Highlights

miRNAExpression Changep-value
let-7bUpregulated< 0.05
let-7c-5pUpregulated< 0.05
miR-24-1Upregulated< 0.05
miR-342-3pUpregulated< 0.05
miR-362-3pUpregulated< 0.05
miR-4485-3pDownregulated< 0.05
miR-494-3pDownregulated< 0.05
miR-939Downregulated< 0.05
miR-4505Downregulated< 0.05

Key Findings

  • Significant upregulation of let-7b, let-7c-5p, miR-24-1, miR-342-3p, and miR-362-3p in AMI patients.
  • Downregulation of miR-4485-3p, miR-494-3p, miR-939, and miR-4505 in AMI patients.
  • Distinct segregation of AMI cases from CAD patients in clustering analyses.
  • Pathway enrichment analysis implicated ECM–receptor interaction, platelet activation, and PI3K/AKT signaling in AMI.
  • ROC analysis showed miR-4485-3p with an AUC of 1.000, indicating excellent discriminatory performance.
  • No significant expression differences for miR-3195 and miR-6780b-5p between CAD and AMI patients.

Clinical Implications

The findings suggest that circulating miRNAs could serve as valuable biomarkers for the early diagnosis and prognosis of AMI, particularly in South Asian populations. Clinicians may consider integrating miRNA profiling into diagnostic pathways to enhance patient management strategies.

Conclusion

This study underscores the potential of circulating miRNAs as biomarkers for AMI, highlighting their role in reflecting key molecular processes associated with the condition. Further research is warranted to validate these findings and explore their clinical applications.

Related Resources & Content

  1. Frontiers in Cardiovascular Medicine, 2026 -- Early detection value of miR-29a in patients with acute myocardial infarction
  2. Clinical Research in Cardiology, 2017 -- Reduced levels of circulating microRNAs in heart failure patients correlate with atherosclerotic conditions and increased rates of cardiovascular rehospitalization
  3. Basic Research in Cardiology, 2018 -- Targeting Inflammatory Cells and Their Non-Coding RNAs for Myocardial Infarction Treatment
  4. Clinical Research in Cardiology, 2023 -- Evaluating the Prognostic Value of a Multi-Biomarker Approach in Individuals with Suspected Myocardial Infarction
  5. 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes - American College of Cardiology
  6. The diagnostic value of microrna-499 in acute myocardial infarction: A systematic review and meta-analysis - PMC
  7. Addressing myocardial infarction in South-Asian populations: risk factors and machine learning approaches | npj Cardiovascular Health
  8. 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes
  9. The diagnostic value of microrna-499 in acute myocardial infarction: A systematic review and meta-analysis
  10. Addressing myocardial infarction in South-Asian populations: risk factors and machine learning approaches | npj Cardiovascular Health

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