Literature DB >> 15766817

Does shear stress modulate both plaque progression and regression in the thoracic aorta? Human study using serial magnetic resonance imaging.

Jolanda J Wentzel1, Roberto Corti, Zahi A Fayad, Paul Wisdom, Frank Macaluso, Mark O Winkelman, Valentin Fuster, Juan J Badimon.   

Abstract

OBJECTIVES: The purpose of this study was to investigate the role of shear stress (SS) in plaque regression.
BACKGROUND: A condition favorable to the development of atherosclerotic lesions is low oscillating SS. In the descending thoracic aorta, the relationship between plaque distribution and SS has never been characterized. The regression of plaque as the result of lipid-lowering therapy is associated with reverse atherogenic mechanisms. Therefore, we investigated the role of SS in plaque regression. Magnetic resonance imaging (MRI) provides a unique opportunity to noninvasively study morphology and hemodynamics.
METHODS: Cross-sectional images of atherosclerotic plaques in the descending thoracic aorta of 10 asymptomatic, hypercholesteremic patients were acquired at baseline and 24 months after starting lipid-lowering therapy by using a black-blood sequence on a 1.5-T clinical MRI system (5 mm x 780 microm x 780 microm). Average wall thickness (WT) was derived per quadrant. The aorta was subdivided in segments 2 cm in length starting 1 cm from the aortic arch.
RESULTS: Average WT decreased with increasing distance from the arch (3.0 +/- 0.7 mm vs. 2.5 +/- 0.3 mm; p < 0.05) and showed a helical pattern from the proximal to distal segments. Phase-contrast MRI was performed in the thoracic aorta of eight healthy volunteers to derive typical average SS distribution. Shear stress predicted the location of WT (r(2) = 0.29, p < 0.05) but did not predict plaque regression. The best predictor of plaque regression was baseline WT.
CONCLUSIONS: Our data showing an association between WT and average low SS locations support the role of local hemodynamics in the development of atherosclerotic lesions in descending thoracic aorta. Furthermore, SS does not seem to be the major predictor for plaque regression by lipid-lowering interventions. Therefore, our data suggest that other mechanisms are involved in the lipid-reversal mechanism.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15766817     DOI: 10.1016/j.jacc.2004.12.026

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  43 in total

1.  A coupled experimental and computational approach to quantify deleterious hemodynamics, vascular alterations, and mechanisms of long-term morbidity in response to aortic coarctation.

Authors:  Arjun Menon; David C Wendell; Hongfeng Wang; Thomas J Eddinger; Jeffrey M Toth; Ronak J Dholakia; Paul M Larsen; Eric S Jensen; John F Ladisa
Journal:  J Pharmacol Toxicol Methods       Date:  2011-11-04       Impact factor: 1.950

2.  Haemodynamic imaging of thoracic stent-grafts by computational fluid dynamics (CFD): presentation of a patient-specific method combining magnetic resonance imaging and numerical simulations.

Authors:  Marco Midulla; Ramiro Moreno; Adil Baali; Ming Chau; Anne Negre-Salvayre; Franck Nicoud; Jean-Pierre Pruvo; Stephan Haulon; Hervé Rousseau
Journal:  Eur Radiol       Date:  2012-05-30       Impact factor: 5.315

3.  3-D intravascular ultrasound (IVUS) and IVUS-palpography: insights into the mechanical behavior of the coronary vessel wall.

Authors:  Paul Schoenhagen
Journal:  Int J Cardiovasc Imaging       Date:  2005-11-30       Impact factor: 2.357

4.  Computational simulations for aortic coarctation: representative results from a sampling of patients.

Authors:  John F LaDisa; C Alberto Figueroa; Irene E Vignon-Clementel; Hyun Jin Kim; Nan Xiao; Laura M Ellwein; Frandics P Chan; Jeffrey A Feinstein; Charles A Taylor
Journal:  J Biomech Eng       Date:  2011-09       Impact factor: 2.097

5.  In vivo IVUS-based 3-D fluid-structure interaction models with cyclic bending and anisotropic vessel properties for human atherosclerotic coronary plaque mechanical analysis.

Authors:  Chun Yang; Richard G Bach; Jie Zheng; Issam Ei Naqa; Pamela K Woodard; Zhongzhao Teng; Kristen Billiar; Dalin Tang
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-26       Impact factor: 4.538

6.  Partial ligation-induced carotid artery occlusion induces leukocyte recruitment and lipid accumulation--a shear stress model of atherosclerosis.

Authors:  Hilda Merino; Sampath Parthasarathy; Dinender K Singla
Journal:  Mol Cell Biochem       Date:  2012-10-03       Impact factor: 3.396

7.  In vivo three-dimensional MR wall shear stress estimation in ascending aortic dilatation.

Authors:  Erik T Bieging; Alex Frydrychowicz; Andrew Wentland; Benjamin R Landgraf; Kevin M Johnson; Oliver Wieben; Christopher J François
Journal:  J Magn Reson Imaging       Date:  2011-03       Impact factor: 4.813

8.  Advanced human carotid plaque progression correlates positively with flow shear stress using follow-up scan data: an in vivo MRI multi-patient 3D FSI study.

Authors:  Chun Yang; Gador Canton; Chun Yuan; Marina Ferguson; Thomas S Hatsukami; Dalin Tang
Journal:  J Biomech       Date:  2010-06-08       Impact factor: 2.712

9.  The Impact of Cardiac Motion on Aortic Valve Flow Used in Computational Simulations of the Thoracic Aorta.

Authors:  David C Wendell; Margaret M Samyn; Joseph R Cava; Mary M Krolikowski; John F LaDisa
Journal:  J Biomech Eng       Date:  2016-09-01       Impact factor: 2.097

10.  A framework for designing patient-specific bioprosthetic heart valves using immersogeometric fluid-structure interaction analysis.

Authors:  Fei Xu; Simone Morganti; Rana Zakerzadeh; David Kamensky; Ferdinando Auricchio; Alessandro Reali; Thomas J R Hughes; Michael S Sacks; Ming-Chen Hsu
Journal:  Int J Numer Method Biomed Eng       Date:  2018-01-25       Impact factor: 2.747

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.