A volumetric method for quantifying atherosclerosis in mice by using microCT: comparison to en face
Autor: | Sergio X. Vasquez, Clarence Hale, Brad Johnston, Stephen Kaufman, David M. Weinstein, Matthew D. Silva, Joan Helmering, David Lloyd, James R. Turk, Murielle M. Véniant |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Male
Pathology medicine.medical_specialty Vessel occlusion Aortic Diseases lcsh:Medicine Aorta Thoracic Cardiovascular Mice medicine.artery Plaque volume Medicine Thoracic aorta Animals Cardiovascular Imaging lcsh:Science Mice Knockout Aorta Multidisciplinary business.industry Fibrous cap lcsh:R Reproducibility of Results Atherosclerosis Disease Models Animal medicine.anatomical_structure Metabolic Disorders lcsh:Q Tomography Lipid core business Nuclear medicine Tomography X-Ray Computed Ex vivo Research Article |
Zdroj: | PLoS ONE, Vol 6, Iss 4, p e18800 (2011) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | Precise quantification of atherosclerotic plaque in preclinical models of atherosclerosis requires the volumetric assessment of the lesion(s) while maintaining in situ architecture. Here we use micro-computed tomography (microCT) to detect ex vivo aortic plaque established in three dyslipidemic mouse models of atherosclerosis. All three models lack the low-density lipoprotein receptor (Ldlr(-/-)), each differing in plaque severity, allowing the evaluation of different plaque volumes using microCT technology. From clearly identified lesions in the thoracic aorta from each model, we were able to determine plaque volume (0.04-3.1 mm(3)), intimal surface area (0.5-30 mm(2)), and maximum plaque (intimal-medial) thickness (0.1-0.7 mm). Further, quantification of aortic volume allowed calculation of vessel occlusion by the plaque. To validate microCT for future preclinical studies, we compared microCT data to intimal surface area (by using en face methodology). Both plaque surface area and plaque volume were in excellent correlation between microCT assessment and en face surface area (r(2) = 0.99, p |
Databáze: | OpenAIRE |
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