Aim: The present study was designed to investigate whether the three-apolipoprotein (AI, B, E) gene polymorphisms were related to alter their plasma protein levels and hence associated to coronary artery disease (CAD).
Methods: We determined distribution of MspI apo AI, EcoRI apo B, HhaI apo E gene polymorphisms, plasma apolipoproteins and lipids levels among 150 patients having CAD admitted to the Department of Cardiology, N.R.S. Medical College & Hospital, Kolkata, India during June 2010-June 2012 and 150 age sex matched healthy controls.
Results: We found that ApoAI concentration of studied population was significantly different in each genotypes of -75 G/A apo AI (p < 0.0001) gene polymorphism. A significant association was found in multivariate analysis for the genotypes with apo E4 allele [odds ratio (OR): 3.639; 95% confidence interval (CI): 1.019-12.995, p = 0.040] with four conventional risk factors (i.e. smoking, low-density lipoprotein, ApoAI and ApoB) with CAD. In contrast E2 allele has reverse effect, but the genotypes with apo E2 allele was no longer significant in the multivariate model (OR: 1.788; 95% CI: 0.400-8.001, p = 0.447) where as being significant in univariate analysis (OR: 0.219; 95% CI: 0.087-0.552, p = 0.001).
Conclusions: Our findings suggest that the polymorphisms apo AI MspI and apo B EcoRI do not seem to affect CAD. But the genotype with E4 allele of apo E gene independent of other risk factors is associated with this disease.
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http://dx.doi.org/10.1016/j.ihj.2013.10.003 | 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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