2022
DOI: 10.1007/978-1-0716-1924-7_3
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Survey of In Vitro Model Systems for Investigation of Key Cellular Processes Associated with Atherosclerosis

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Cited by 3 publications
(2 citation statements)
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“…The identification of key pathways can also form the foundation of drug discovery programs to screen for potent agonists. More mechanistic insights can also be obtained using the full range of in vitro assays on all the different cell types present in atherosclerotic plaques, including macrophages, ECs, and SMCs [160]. Such assays include cell proliferation and migration, foam cell formation, inflammasome activation, endothelial cell dysfunction, and SMC phenotypic shift.…”
Section: Discussionmentioning
confidence: 99%
“…The identification of key pathways can also form the foundation of drug discovery programs to screen for potent agonists. More mechanistic insights can also be obtained using the full range of in vitro assays on all the different cell types present in atherosclerotic plaques, including macrophages, ECs, and SMCs [160]. Such assays include cell proliferation and migration, foam cell formation, inflammasome activation, endothelial cell dysfunction, and SMC phenotypic shift.…”
Section: Discussionmentioning
confidence: 99%
“…With the application of 3.0T high-field magnetic resonance instruments and the maturation of black-blood technology and multi-contrast sequence imaging technology, MRI offers further advantages to other imaging methods, providing greater aid for identifying plaque internal components and evaluation of plaque stability. Black-blood technology, the core technology of high-resolution MR examination of carotid plaque, can cover the duration of blood flow signal in the carotid artery lumen and the adipose tissue signal outside the carotid wall ( 21 ). This allows for clear visualization of the size and shape of carotid plaque, making it easier to distinguish different components in the plaque according to differences in signal intensity, such as LRNC, calcification, and IPH.…”
Section: Imaging Identification Of Vulnerable Carotid Plaquementioning
confidence: 99%