Coronary artery disease (CAD) is the leading cause of death globally. Genome-wide association studies (GWASs) have identified more than 95 independent loci that influence CAD risk, most of which reside in non-coding regions of the genome. To interpret these loci, we generated transcriptome and whole-genome datasets using human coronary artery smooth muscle cells (HCASMCs) from 52 unrelated donors, as well as epigenomic datasets using ATAC-seq on a subset of 8 donors. Through systematic comparison with publicly available datasets from GTEx and ENCODE projects, we identified transcriptomic, epigenetic, and genetic regulatory mechanisms specific to HCASMCs. We assessed the relevance of HCASMCs to CAD risk using transcriptomic and epigenomic level analyses. By jointly modeling eQTL and GWAS datasets, we identified five genes (SIPA1, TCF21, SMAD3, FES, and PDGFRA) that may modulate CAD risk through HCASMCs, all of which have relevant functional roles in vascular remodeling. Comparison with GTEx data suggests that SIPA1 and PDGFRA influence CAD risk predominantly through HCASMCs, while other annotated genes may have multiple cell and tissue targets. Together, these results provide tissue-specific and mechanistic insights into the regulation of a critical vascular cell type associated with CAD in human populations.
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http://dx.doi.org/10.1016/j.ajhg.2018.08.001 | DOI Listing |
Am J Ther
January 2025
Division of Cardiology, Ellis Hospital, New York, NY.
Background: In patients with coronary artery disease (CAD) and/or myocardial infarction (MI), anemia is associated with an increased risk of adverse cardiovascular (CV) outcomes. Transfusion goals in such patients remain unclear.
Study Question: A meta-analysis of the available randomized controlled trials (RCTs) was conducted comparing restrictive and liberal transfusion strategies in patients with symptomatic CAD/MI.
Herz
January 2025
Herzzentrum Leipzig, Universitätsklinik für Kardiologie, Strümpellstr. 39, 04289, Leipzig, Deutschland.
Coronary artery disease (CAD) is the leading cause of death worldwide. Acute coronary syndrome (ACS) encompasses a spectrum of diagnoses ranging from unstable angina pectoris to myocardial infarction with and without ST-segment elevation and frequently presents as the first clinical manifestation. It is crucial in this scenario to perform a timely and comprehensive assessment of patients by evaluating the clinical presentation, electrocardiogram and laboratory diagnostics using highly sensitivity cardiac troponin in order to initiate a timely and risk-adapted continuing treatment with immediate or early invasive coronary angiography.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Objectives: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagnostic performance of a recently updated deep learning model (CorEx-2.0) for quantifying coronary stenosis, compared separately with two expert CCTA readers as references.
View Article and Find Full Text PDFEur Heart J
January 2025
Heart, Exercise and Research Trials (HEART) Lab, St. Vincent's Institute of Medical Research, Melbourne, Australia.
There should be no assumption that an athlete is immune to coronary artery disease (CAD), even when traditional cardiovascular (CV) risk factors appear well-managed. Excelling in certain aspects of health does not equate to total CV protection. Recent data from cardiac imaging studies have raised the possibility that long-term, high-volume, high-intensity endurance exercise is associated with coronary atherosclerosis.
View Article and Find Full Text PDFWorldviews Evid Based Nurs
February 2025
School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Background: Coronary artery disease (CAD) is a major health problem of atherosclerotic cardiovascular (CV) disease and early intervention is regarded important. Given the proven effect of a lifestyle intervention with nursing telephone counselling and mHealth use in health care, yet the comparisons of both support are lacking, this study is proposed.
Objectives: This study aimed to compare the effects of a coronary artery disease (CAD) support program using a mobile application versus nurse phone advice on exercise amount and physical and psychological outcomes for clients at risk of CAD.
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