Serum Circulating miR-150 is a Predictor of Post-Acute Myocardial Infarction Heart Failure

Xiaoping Lin1, Sichen Zhang2, Zhaoxia Huo3

  • 1Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine.

International Heart Journal
|February 13, 2019
PubMed

Insights

Serum miR-150 levels can predict heart failure after acute myocardial infarction (AMI). Lower miR-150 levels indicate higher risk, improving prediction when combined with BNP. This offers a novel biomarker for post-AMI heart failure.

Area of Science:

  • Cardiology
  • Biomarker Discovery
  • Molecular Diagnostics

Background:

  • Ischemic heart disease and acute myocardial infarction (AMI) are increasing globally, often leading to poor prognosis and heart failure (HF).
  • Predictive biomarkers for post-AMI HF are crucial for timely and effective treatment strategies.
  • Current diagnostic methods may require enhancement for accurate HF prediction post-MI.

Purpose of the Study:

  • To investigate the potential of serum circulating microRNAs (miRs), specifically miR-150, as a predictive biomarker for heart failure (HF) in patients post-acute myocardial infarction (AMI).
  • To evaluate the diagnostic and prognostic value of miR-150, alone and in combination with established biomarkers like BNP, for predicting post-AMI HF.
  • To identify independent predictors of post-AMI HF through multivariate analysis.

Main Methods:

  • Recruitment of 54 post-AMI HF patients, 59 post-AMI non-HF patients, and 59 healthy controls.
  • Screening of eight candidate miRs using real-time quantitative PCR, with a focus on serum miR-150 levels.
  • Analysis of miR-150 association with ejection fraction (EF) and prediction accuracy using Receiver Operating Characteristic (ROC) curve analysis, including combination with BNP.

Main Results:

  • Serum miR-150 levels were significantly lower in the post-AMI HF group compared to the post-AMI non-HF group (P < 0.001).
  • miR-150 levels correlated with ejection fraction (EF) one year post-discharge (P < 0.001).
  • ROC analysis showed miR-150 improved AUC to 0.764 (P < 0.001) for predicting post-AMI HF, with the combination of BNP and miR-150 achieving an AUC of 0.807 (P < 0.001).

Conclusions:

  • Serum circulating miR-150 is a novel and independent biomarker for predicting heart failure following acute myocardial infarction (AMI).
  • The combination of miR-150 and BNP offers enhanced predictive accuracy for post-AMI HF.
  • Further large-scale prospective studies are warranted to validate the clinical utility of miR-150 in managing post-AMI patients.

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