Background/Aim: Certain microRNAs (miRs) present in human plasma are candidate biomarkers for cardiovascular diseases, including acute myocardial infarction (AMI). We examined the expression of two cardiac-specific miRs (miR-208b and miR-499) in a Greek pathological population. Materials and Methods: Plasma samples from AMI patients and healthy subjects (controls) were analyzed using TaqMan® MicroRNA assays. Results: The concentration of both miRs was significantly elevated in AMI patients compared to healthy controls. Moreover, receiver-operating characteristic (ROC) curve analysis showed that miR-208b and miR-499 displayed similar properties with the established AMI biomarker cardiac troponin T (cTnT). Conclusion: We showed, for the first time, that these miRs could be used as AMI biomarkers in our population as well. Our data are in agreement with those of studies based on different population groups and further strengthen the observation that plasma levels of circulating miR-208b and miR-499 could serve as potential AMI biomarkers.

Several microRNA (miRNA) polymorphisms have been associated with susceptibility to specific health disorders, including cardiovascular diseases. The aim of the present study was to investigate whether four well-studied miRNA polymorphisms in non-Caucasian populations, namely miR146a G>C (rs2910164), miR149 C>T (rs2292832), miR196a2 C>T (rs11614913) and miR499 A>G (rs3746444), contribute to the risk for the development of premature Coronary Artery Disease (CAD) in the Greek population. We used a case-control study to examine these associations in 400 individuals: 200 CAD patients [including a subgroup of myocardial infraction (MI) patients] and 200 healthy controls, all of Greek origin. MiRNA polymorphisms were genotyped using three different assays: Polymerase chain reaction - restriction fragment length polymorphism (PCR-RFLP), High resolution Melting (HRM) and Sanger sequencing. Two of these polymorphisms, miR196a2 C>T (rs11614913) and miR499 A>G (rs3746444) were found to be strongly associated with increased risk for CAD (p=0.0388 and p=0.0013, respectively) and for MI (p=0.0281 and p=0.0273, respectively). Furthermore, miR146C-miR149C-miR196T-miR499G allele combination appeared to be significantly related to CAD (p=0.0185) and MI (p=0.0337) prevalence. Our results suggest that at least two of the studied polymorphisms, miR196a2 C>T (rs11614913) and miR499 A>G (rs3746444), as well as the miR146C-miR149C-miR196T-miR499G allele combination could represent useful biomarkers of CAD and/or MI susceptibility in the Greek population. These special genetic characteristics, in combination with environmental factors and personal habits, might contribute to CAD and/or MI prevalence.

Circulating cell-free DNA (cf-DNA) is present in human biological fluids, mainly in plasma and serum, originating from cell death, a process that massively takes place during acute myocardial infarction (AMI). In the present study, cf-DNA was assessed by different quantification techniques, in order to determine its levels in patients admitted with AMI. A total of 130 subjects were included in the study: 80 ST elevation myocardial infarction (STEMI) patients and 50 healthy controls. Cf-DNA extracted from plasma was analyzed by: a) Qubit 3.0 with single (ss) and double (ds) stranded DNA assay kits, b) NanoDrop and c) quantitative PCR (qPCR). Cf-DNA levels were recorded elevated in AMI patients compared to those of healthy individuals. Specifically, Qubit 3.0 ss-DNA kit provided the highest cf-DNA concentration values for all the samples analyzed in comparison with ds-DNA assay kit and NanoDrop, approaching the values obtained by qPCR. Cf-DNA augments in massive cell death settings, including AMI, proposing that the quantification of its levels by novel methodologies could contribute to patient diagnosis and clinical management.

Leukemia is a heterogeneous group of hematologic malignancies characterized by the dysfunctional proliferation of white blood cells in the bone marrow. Genetic alterations are important risk factors for the development and progression of leukemia, and their detection is crucial. Although many genetic techniques, including karyotyping, fluorescence in situ hybridization (FISH), and polymerase chain reaction (PCR), have provided valuable information, they all have the limitation of incomplete genomic coverage. The evolution of genomic technologies, including Next Generation Sequencing (NGS) and Third Generation Sequencing (TGS), has enabled a more comprehensive and detailed characterization of the genetic landscape of leukemia. NGS technology has revolutionized leukemia diagnosis, treatment, and minimal residual disease monitoring, and its integration into routine leukemia care will enhance patient outcomes and pave the way for truly personalized medicine.

Cardiovascular diseases (CVDs) are the foremost contributor to global mortality, with a significant inherited factor that has long been recognized but only recently become decipherable. Next-generation sequencing (NGS) has transformed the study of cardiovascular genetics, allowing researchers to move beyond single-gene analyses toward comprehensive assessments of both rare and common genetic variations. This review summarizes how NGS informs clinical practice, from the molecular diagnosis of inherited cardiac disorders and risk prediction using polygenic models to emerging applications in precision therapeutics. It also discusses analytical and ethical challenges and highlights new technologies, such as long-read and single-cell sequencing, that are likely to further advance precision cardiology.