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Introduction: Cardiovascular diseases are the most important cause of mortality
in developed countries. Despite continuous advances in diagnosis and treatment,
heart failure (HF) remains a serious medical, social and economic problem. An
acute myocardial infarction (AMI) is an event in coronary artery disease often
leading to the development of heart failure. Classic risk factors of HF only partially
explain why some patients suffer later from decompensation of the left ventricle,
whereas others function quite well.
Aim: The aim of our study was to identify distinct biomarkers that correlate with
Methodology: We collected blood samples from AMI patients on admission (1st
day of AMI). Clinical evaluation was performed after six months of AMI and
patients were divided into HF (n=37), non-HF (n=26) and moderate-HF groups
(n=119). Microarrays were used to analyze individual gene expression profiles
of the patients. Seven differentially expressed transcripts that best discriminate
between HF, non-HF and moderate-HF patients were selected. Microarray results
were validated by the ddPCR method using blood RNA. Reference values were
obtained for all transcripts and all groups of patients and the HF prognosis risk
score was calculated.
Results & Conclusion: The obtained results show that the identified gene
expression changes at the early phase of AMI allow differentiating patients who
developed HF from those who did not and that they may serve as a convenient
tool contributing to the prognosis of heart failure.
Beata Burzynska has completed her PhD from Warsaw University of Life Sciences, Poland. She is a PI at the Department of Genetics, Institute of Biochemistry and Biophysics, Polish Academy of Sciences. She conducted Post-doctoral Training at the Louisiana State University Health Sciences Center. She has published more than 40 papers in SCI journals and has been serving as a Board Member of the Committee on Biotechnology, Polish Academy of Sciences.