Beata Burzynska
Polish Academy of Sciences | Poland
Title: Transcriptomic biomarkers based approach for predicting the risk of heart failure development in post-infarction patients with the use of the ddPCR method
Biography
Biography: Beata Burzynska
Abstract
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 HF development.
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.