Non-invasive assessment of pulse wave velocity in mice by means of ultrasound images

Lascio, Nicole Di; Stea, Francesco; Kusmic, Claudia; Sicari, Rosa; Faita, Francesco

doi:10.1016/j.atherosclerosis.2014.08.033

Cited by 51 publications

(52 citation statements)

References 31 publications

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“…During diastole, the velocity values are not zero. Similar results were obtained in mice using ultrasound imaging [33]. The average flow rate increases with increasing viscosity in the free pumping regions [34].…”

Section: Results Of Pulsatile L-mldv In the Carotid Arterysupporting

confidence: 82%

“…(3). The heart rate was approximately 250 bpm, which is normal for mice under anesthesia [33]. During diastole, the velocity values are not zero.…”

Section: Results Of Pulsatile L-mldv In the Carotid Arterymentioning

confidence: 96%

“…14(c) shows the temporal change in velocity measured at the position indicated by the asterisk in Fig. 14(a), which is seen to have the triangular waveform typical of an artery [33,39]. The heart rate was approximately 300 bpm, which is normal for a mouse under anesthesia [33].…”

Section: Blood Flow Measurement In a Micro-flow Channelmentioning

confidence: 96%

See 2 more Smart Citations

High-resolution in-situ LDV monitoring system for measuring velocity distribution in blood vessel

Kyoden

Abe

Ishida

et al. 2015

Optics Communications

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Section: Results Of Pulsatile L-mldv In the Carotid Arterysupporting

confidence: 82%

“…(3). The heart rate was approximately 250 bpm, which is normal for mice under anesthesia [33]. During diastole, the velocity values are not zero.…”

Section: Results Of Pulsatile L-mldv In the Carotid Arterymentioning

confidence: 96%

See 1 more Smart Citation

High-resolution in-situ LDV monitoring system for measuring velocity distribution in blood vessel

Kyoden

Abe

Ishida

et al. 2015

Optics Communications

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“…The standard clinical methodology to measure vessel stiffness and predict CVD is pulse wave velocity (PWV) testing, which is typically performed using ultrasound (Kohn and Lampi et al ., 2015; Laurent et al , 2006; Mitchell et al , 2010; Van Bortel et al , 2012). PWV values have been shown to increase with age and decrease with exercise (Di Lascio et al , 2014; Gu et al , 2014a; Steppan et al , 2014). However, while PWV is important in the prediction of the development of CVD, it is an indirect measure of bulk vessel stiffness and many studies attribute bulk mechanical properties to the medial layer (Kohn and Lampi et al ., 2015; Shadwick, 1999).…”

Section: Introductionmentioning

confidence: 99%

Mechanical heterogeneities in the subendothelial matrix develop with age and decrease with exercise

Kohn

Chen

Cheng

et al. 2016

Journal of Biomechanics

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Arterial stiffening occurs with age and is associated with lack of exercise. Notably both age and lack of exercise are major cardiovascular risk factors. While it is well established that bulk arterial stiffness increases with age, more recent data suggest that the intima, the innermost arterial layer, also stiffens during aging. Micro-scale mechanical characterization of individual layers is important because cells primarily sense the matrix that they are in contact with and not necessarily the bulk stiffness of the vessel wall. To investigate the relationship between age, exercise, and subendothelial matrix stiffening, atomic force microscopy was utilized here to indent the subendothelial matrix of the thoracic aorta from young, aged-sedentary, and aged-exercised mice, and elastic modulus values were compared to conventional pulse wave velocity measurements. The subendothelial matrix elastic modulus was elevated in aged-sedentary mice compared to young or aged-exercised mice, and the macro-scale stiffness of the artery was found to linearly correlate with the subendothelial matrix elastic modulus. Notably, we also found that with age, there exists an increase in the point-to-point variations in modulus across the subendothelial matrix, indicating non-uniform stiffening. Importantly, this heterogeneity is reversible with exercise. Given that vessel stiffening is known to cause aberrant endothelial cell behavior, and the spatial heterogeneities we find exist on a length scale much smaller than the size of a cell, these data suggest that further investigation in the heterogeneity of the subendothelial matrix elastic modulus is necessary to fully understand the effects of physiological matrix stiffening on cell function.

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“…The relatively recent introduction of high-frequency ultrasound in small animal research has thus enabled our study. 19 From the geometric data, the observed characteristics of blood pressure and WSS at arterial branching may suggest the existence of a homeostatic regulatory mechanism, which could be taken as a geometric adaption of the vasculature to channel blood flow into the branching artery in an energyefficient manner. As would be expected, there are variations in the magnitudes of mean WSS between the animals, attributable to differences in local geometry and the measured flow conditions.…”

Section: Discussionmentioning

confidence: 99%

Characterization of Hemodynamics in Great Arteries of Wild-Type Mouse Using Computational Fluid Dynamics Based on Ultrasound Images

Chen

Zhou

et al. 2016

Ultrasound Quarterly

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Hemodynamic factors in cardiovascular system are hypothesized to play a significant role in causing structural heart development. It is thus important to improve our understanding of velocity characteristics and parameters. We present such a study on wild-type mouse to characterize the vessel geometry, flow pattern, and wall shear stress in great arteries. Microultrasound imaging for small animals was used to measure blood boundary and velocity of the great arteries. Subsequently, specimens' flow boundary conditions were used for 3-dimensional reconstructions of the great artery and aortic arch dimensions, and blood flow velocity data were input into subject-specific computational fluid dynamics for modeling hemodynamics. Measurement by microultrasound imaging showed that blood velocities in the great artery and aortic arch had strong correlations with vascular sizes, whereas blood pressure had a weak trend in relation to vascular size. Wall shear stress magnitude increased when closer to arterial branches and reduced proximally in the aortic root and distally in the descending aorta, and the parameters were related to the fluid mechanics in branches in some degree. We developed a method to investigate fluid mechanics in mouse arteries, using a combination of microultrasound and computational fluid dynamics, and demonstrated its ability to reveal detailed geometric, kinematic, and fluid mechanics parameters.

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Non-invasive assessment of pulse wave velocity in mice by means of ultrasound images

Cited by 51 publications

References 31 publications

High-resolution in-situ LDV monitoring system for measuring velocity distribution in blood vessel

High-resolution in-situ LDV monitoring system for measuring velocity distribution in blood vessel

Mechanical heterogeneities in the subendothelial matrix develop with age and decrease with exercise

Characterization of Hemodynamics in Great Arteries of Wild-Type Mouse Using Computational Fluid Dynamics Based on Ultrasound Images

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