2007
DOI: 10.1161/01.atv.0000253492.45717.46
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Hemodynamic Shear Stresses in Mouse Aortas

Abstract: Objective-The hemodynamic environment is a determinant of susceptibility to atherosclerosis in the vasculature.Although mouse models are commonly used in atherosclerosis studies, little is known about local variations in wall shear stress (WSS) in the mouse and whether the levels of WSS are comparable to those in humans. The objective of this study was to determine WSS values in the mouse aorta and to relate these to expression of gene products associated with atherosclerosis. Methods and Results-Using micro-C… Show more

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Cited by 279 publications
(270 citation statements)
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“…Many authors have tried to link local disease patterns to focal zones of locally disturbed shear stress using rigid-walled models of either the aortic arch (Assemat et al, 2014;Feintuch et al, 2007;Suo et al, 2007;Yap et al, 2014), the abdominal aorta (Ford et al, 2011;Greve et al, 2006;Trachet et al, 2011b;Willett et al, 2010) or both (Hoi et al, 2011;Huo et al, 2008;Van Doormaal et al, 2014). The findings of publications that focused on regular WSS patterns (Feintuch et al, 2007;Greve et al, 2006;Huo et al, 2008;Suo et al, 2007;Willett et al, 2010;Yap et al, 2014) are not affected much by our results. However, some findings of publications that focused on the oscillatory patterns of WSS (Assemat et al, 2014;Ford et al, 2011;Hoi et al, 2011;Trachet et al, 2011b;Van Doormaal et al, 2014) might need to be re-interpreted.…”
Section: Implications For the Interpretation Of Previously Publishedmentioning
confidence: 44%
See 1 more Smart Citation
“…Many authors have tried to link local disease patterns to focal zones of locally disturbed shear stress using rigid-walled models of either the aortic arch (Assemat et al, 2014;Feintuch et al, 2007;Suo et al, 2007;Yap et al, 2014), the abdominal aorta (Ford et al, 2011;Greve et al, 2006;Trachet et al, 2011b;Willett et al, 2010) or both (Hoi et al, 2011;Huo et al, 2008;Van Doormaal et al, 2014). The findings of publications that focused on regular WSS patterns (Feintuch et al, 2007;Greve et al, 2006;Huo et al, 2008;Suo et al, 2007;Willett et al, 2010;Yap et al, 2014) are not affected much by our results. However, some findings of publications that focused on the oscillatory patterns of WSS (Assemat et al, 2014;Ford et al, 2011;Hoi et al, 2011;Trachet et al, 2011b;Van Doormaal et al, 2014) might need to be re-interpreted.…”
Section: Implications For the Interpretation Of Previously Publishedmentioning
confidence: 44%
“…In order to get access to the pre-disease geometry, the authors virtually removed the plaque from the model. Other studies linked wall shear metrics from transient CFD with plaque progression markers such as presence of fat in the wall (Suo et al, 2007) or the expression of VCAM-1 (Hoi et al, 2011). In these studies, the CFD simulations were performed in another group of animals than the group that was used to determine the progression marker(s).…”
Section: Introductionmentioning
confidence: 99%
“…Multiple mechanisms have been proposed, including altered low-density-lipoprotein cholesterol transportation 20,21 and increased turbulence and wall shear stress, especially in the location of the descending aorta, which has many more branches than the other segments. [22][23][24] For instance, the ascending aorta only has two branches (right and left coronary artery), and the arch has three branches (brachiocephalic, right subclavian, right common carotid). However, the descending aorta has multiple branches, including 11 pairs of posterior intercostal arteries and multiple arteries originating anteriorly, including bronchial, mediastinal, esophageal and pericardial branches as well as superior phrenic arteries.…”
mentioning
confidence: 99%
“…Reported studies for the use of micro-CT include the assessment of induced or implanted disease models [251,252]; screening for anatomical abnormalities and/or changes in live animals [253]; assessing angiogenesis during fracture healing [254]; in morphological studies, for example, the rodent renal vasculature [255,256]; and the assessment of cancer staging for predictions of metastatic relapse [257]. Micro-CT has also branched into the realm of fluid dynamic simulations in, for instance, the mouse aorta [258,259] and assessment of coronary artery disease [260]. Although in vivo micro-CT imaging is still in its infancy, the possible implications and applications of its use in biomedical research is potentially far-reaching.…”
Section: Micro-computed Tomographymentioning
confidence: 99%