Micronucleus assay for predicting coronary artery disease: A systematic review and meta-analysis

Maria Grazia Andreassi1, Andrea Borghini1, Cecilia Vecoli1

  • 1CNR Institute of Clinical Physiology, Via Moruzzi 1, Pisa, Italy.

Insights

This study found that increased micronuclei (MN) frequencies are associated with coronary artery disease (CAD). The findings suggest a link between DNA damage and the presence and severity of CAD.

Area of Science:

  • Cardiovascular Medicine
  • Genetics
  • Biomarkers

Background:

  • Coronary artery disease (CAD) is a major global health concern, with current diagnostic methods like coronary angiography lacking early detection of vulnerable plaques.
  • Identifying high-risk patients and plaques remains a significant challenge in CAD management.
  • Emerging research indicates DNA damage contributes to the development and progression of atherosclerotic plaques.

Purpose of the Study:

  • To systematically review and discuss existing literature on the association between micronuclei (MN) and angiographically confirmed CAD.
  • To evaluate the utility of the Cytokinesis-block micronucleus (CBMN) assay as a potential biomarker for CAD.

Main Methods:

  • A meta-analysis was conducted on 8 studies published between 2001 and 2017.
  • Studies assessed the association between MN formation and angiographically diagnosed CAD.
  • Data heterogeneity was addressed using statistical analysis (I² = 99.7 %, p < 0.0001).

Main Results:

  • A significant overall increase in MN frequencies was observed in patients with CAD compared to controls (meta-MR = 1.96; 95% CI, 1.5-3.2, p = 0.009).
  • Subgroup analysis indicated higher MN frequencies in both two-vessel (MR = 2.13, 95% CI: 0.9-6.9, p = 0.08) and three-vessel disease (MR = 2.89, 95% CI: 1.84-4.55, P = 0.06).

Conclusions:

  • The meta-analysis provides evidence supporting an association between CBMN assay results and the presence, extent, and severity of CAD.
  • Further large-scale, rigorously designed studies are needed to confirm these findings, considering confounding clinical factors.

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