2018
DOI: 10.1371/journal.pone.0201379
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Combining in vivo and in vitro biomechanical data reveals key roles of perivascular tethering in central artery function

Abstract: Considerable insight into effectors of cardiovascular function can be gleaned from controlled studies on mice, especially given the diverse models that are available. Toward this end, however, there is a need for consistent and complementary methods of in vivo and in vitro data analysis, synthesis, and interpretation. The overall objective of this study is twofold. First, we present new semi-automated methods to quantify in vivo measurements of vascular function in anesthetized mice as well as new approaches t… Show more

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Cited by 44 publications
(30 citation statements)
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“…Another limitation is that current analysis neglected the effects of perivascular tethering on the outer surface of the FPA wall, which likely affected the assessment of physiologic stressstretch conditions. Additional experiments are needed to quantify perivascular tethering effects (Ferruzzi et al 2018) in human FPAs, and to determine whether they change with age and disease. While these and other limitations are being addressed, current analysis provides a better understanding of the effects associated with flattening of the FPA specimens during planar biaxial testing, and offers a set of adjusted constitutive parameters that can be used to model the physiologic FPA behavior in subjects of different ages.…”
Section: Discussionmentioning
confidence: 99%
“…Another limitation is that current analysis neglected the effects of perivascular tethering on the outer surface of the FPA wall, which likely affected the assessment of physiologic stressstretch conditions. Additional experiments are needed to quantify perivascular tethering effects (Ferruzzi et al 2018) in human FPAs, and to determine whether they change with age and disease. While these and other limitations are being addressed, current analysis provides a better understanding of the effects associated with flattening of the FPA specimens during planar biaxial testing, and offers a set of adjusted constitutive parameters that can be used to model the physiologic FPA behavior in subjects of different ages.…”
Section: Discussionmentioning
confidence: 99%
“…An exemplary PW Doppler scan and corresponding flow profile traces are shown in Figure A and B. VevoLAB software was used to analyze M‐mode cardiac cycles (~9 per image) and extract PW Doppler images. A custom MATLAB script was used to isolate and average PW Doppler cardiac cycles (~10–30 per image) in order to compute the systolic transvalvular pressure gradient and peak systolic velocity (PSV) (Ferruzzi et al ). Ejection fraction to velocity ratio (EFVR), a metric used as an indicator of valve disease, was calculated as EFVR = (ejection fraction)/(4*(PSV) 2 ) (Cattaneo et al ).…”
Section: Methodsmentioning
confidence: 99%
“…AV jet velocity profiles were estimated by aortic pulsed-wave Doppler imaging. A custom MATLAB script was implemented to determine the maximum systolic velocity and mean pressure gradient [31]. Three images were analyzed per mouse yielding a total of~100 cardiac cycles that were quantified and averaged to reliably quantify AV hemodynamic characteristics.…”
Section: Echocardiographymentioning
confidence: 99%