Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure

Agata Maciejak1, Marek Kiliszek2, Marcin Michalak3

  • 1Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.

Genome Medicine
|May 19, 2015
PubMed

Insights

Early detection of heart failure (HF) after myocardial infarction is crucial. This study identified specific gene expression changes in peripheral blood mononuclear cells (PBMCs) that predict HF development, offering a potential new diagnostic tool.

Area of Science:

  • Cardiovascular Biology
  • Molecular Diagnostics
  • Genomics

Background:

  • Heart failure (HF) is a leading cause of death in developed nations.
  • Identifying early indicators of HF post-myocardial infarction (MI) is critical for patient outcomes.
  • Understanding transcriptional alterations in early MI can reveal pathways leading to HF.

Purpose of the Study:

  • To identify early, biologically relevant transcripts altered during acute myocardial infarction (MI).
  • To associate specific gene expression profiles with the subsequent development of heart failure (HF) post-MI.
  • To evaluate the potential of identified biomarkers for predicting HF in STEMI patients.

Main Methods:

  • Peripheral blood samples were collected from ST-segment elevation myocardial infarction (STEMI) patients and controls.
  • Microarrays analyzed mRNA levels in peripheral blood mononuclear cells (PBMCs) at multiple time points post-MI.
  • RT-qPCR validated microarray findings in an independent patient cohort.
  • STEMI patients were stratified into HF and non-HF groups based on NT-proBNP and ejection fraction.

Main Results:

  • Significant differences in transcriptional profiles were observed early after STEMI, stabilizing over time.
  • A distinct set of genes, including RNASE1, FMN1, and JDP2, showed significantly different expression on day one between patients who did and did not develop HF.
  • Early upregulation of RNASE1, FMN1, and JDP2 was confirmed in HF patients, correlating with clinical parameters.
  • Receiver operating characteristic (ROC) analysis indicated a good prognostic value for these identified genes.

Conclusions:

  • Gene expression profiles in PBMCs are altered during acute MI and its follow-up period.
  • Early-phase STEMI gene expression changes can differentiate patients who will develop HF.
  • The identified gene expression markers may serve as a valuable tool for early heart failure prognosis.
Abstract

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