A wide range of genetic and environmental interactions are involved in the development of coronary artery disease (CAD). Considerable evidence suggests that mitochondrial DNA mutations are associated with heart failure. In this work, we examined the possible mutations in hotspot mitochondrial genes and their association with Iranian patients with coronary artery disease. In this case-control study, nucleotide variations were investigated in 109 patients with coronary atherosclerosis and 105 control subjects with no family history of cardiovascular disease. The molecular analysis of related mitochondrial genes was performed by polymerase chain reaction sequencing. Our results showed 25 nucleotide variations (10 missense mutations, 9 synonymous polymorphisms, and 6 variants in tRNA genes) that for the first time were presented in coronary artery disease. Our results suggest that novel heteroplasmic m.8231 C>A mutation is involved in CAD (p = 0.007). These nucleotide variations suggest the role of mitochondrial mutations as a predisposing factor which in combination with environmental risk factors may affect the pathogenesis of coronary atherosclerosis. So, further investigation is needed for a better understanding of the pathogenesis and predisposing effects of these variations on the disease.
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http://dx.doi.org/10.1007/s12010-020-03275-0 | DOI Listing |
Eur J Radiol
January 2025
Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany. Electronic address:
Objectives: Coronary CT angiography (CCTA) is an excellent tool in ruling out coronary artery disease (CAD) but tends to overestimate especially highly calcified plaques. To reduce diagnostic invasive catheter angiographies (ICA), current guidelines recommend CT-FFR to determine the hemodynamic significance of coronary artery stenosis. Photon-Counting Detector CT (PCCT) revolutionized CCTA and may improve CT-FFR analysis in guiding patients.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
National Heart Center Singapore, Singapore, Singapore.
Aims: To identify differences in CT-derived perivascular (PVAT) and epicardial adipose tissue (EAT) characteristics that may indicate inflammatory status differences between post-treatment acute myocardial infarction (AMI) and stable coronary artery disease (CAD) patients.
Methods And Results: A cohort of 205 post-AMI patients (age 59.8±9.
PLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFCoron Artery Dis
January 2025
Department of Cardiology and Electrotherapy, Silesian Center for Heart Diseases.
Eur J Prev Cardiol
January 2025
Department of Clinical Sciences and Community Health, University of Milan, Via Commenda 19, Milan 20122, Italy.
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