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Genetics paired with CT angiography in the setting of atherosclerosis
1Los Angeles Biomedical Research Institute.
Insights
Coronary artery disease (CAD) is a major global health issue. This review explores advanced noninvasive cardiac imaging and genetic sequencing to better detect and understand atherosclerosis, improving CAD patient care.
Area of Science:
- Cardiovascular Medicine
- Medical Imaging
- Genetics
Background:
- Coronary artery disease (CAD) remains a leading cause of global mortality.
- Atherosclerotic plaques causing coronary artery narrowing are the primary cause of CAD.
- Subclinical atherosclerosis detection is crucial for early intervention.
Purpose of the Study:
- To review advanced noninvasive cardiac imaging techniques for detecting atherosclerosis phenotypes.
- To highlight state-of-the-art genotyping techniques for CAD translational research.
- To discuss the clinical integration of genetics and imaging in CAD management.
Main Methods:
- Cardiac CT angiography
- Noninvasive computed fractional flow reserve
- Intravascular ultrasound
- Next-generation sequencing
- Bioinformatics analysis
Main Results:
- Noninvasive imaging enables detection of coronary artery calcification, plaque burden, and stenosis.
- High-throughput genotyping facilitates genetic insights into CAD.
- Combined genetic and imaging data offer a comprehensive view of atherosclerosis.
Conclusions:
- Advanced imaging and genetic technologies are revolutionizing CAD detection and study.
- Integrating genetics with noninvasive imaging enhances understanding of coronary artery atherosclerosis.
- These advancements hold significant promise for improving clinical practice and patient outcomes in CAD.
Abstract:
Coronary artery disease (CAD) continues to be the leading cause of morbidity and mortality globally. Although the etiological mechanisms for CAD have not been fully elucidated, however, most would agree that atherosclerotic plaques progressively narrow the coronary arteries are the earliest manifestations and the principal cause of CAD. The emergence of revolutionary imaging technologies such as cardiac CT angiography, noninvasive computed fractional flow reserve and intravascular ultrasound provided the possibility of detecting and monitoring phenotypes associated with subclinical atherosclerosis. Meanwhile, with the widespread use of high-throughput genotyping pipeline such as next-generation sequencing, combined with big data-driven solutions in bioinformatics, translating the emerging genetic technologies into clinical practice and, therefore, provide valuable insight into the CAD study. In this review, we briefly describe the latest noninvasive cardiac imaging techniques for atherosclerosis-related phenotypes' detection, mainly focusing on the coronary artery calcification, plaque burden and stenosis. Furthermore, we highlight the state-of-the-art genotyping techniques and its application in the field of CAD translational study. Finally, we discuss the clinical relevance of genetics paired with noninvasive imaging in the setting of coronary artery atherosclerosis.
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