Optical Method to Asses Ex-Vivo the Extent of Atherosclerosis in Mouse Aortas

Autor: Luis Jesús Jiménez-Borreguero, Juan Miguel Redondo, Vanesa Esteban Vázquez, Miguel R. Campanero, Antonio M. Santos-Beneit, Susana A. Sánchez, Nerea Méndez-Barbero
Rok vydání: 2013
Předmět:
Zdroj: ResearcherID
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2012.11.1884
Popis: The main cause of Coronary Artery disease, the first cause of death in most industrialized countries, is Atherosclerosis. Atherosclerosis is a chronic inflammatory disease in the walls of arteries, promoted by low density lipoproteins (LDL) without adequate removal of cholesterol. Over the years, the response of the body to the continuous buildup of cholesterol is the formation of a plaque (atheroma) that can obstruct blood flow.Many therapeutic strategies focus on reducing the size of the atheroma and the preclinical studies require methods to measure lesion extension in an accurate, reliable manner. One of the most used methods in mice is called en face. This technique consists of dissecting the aorta, opening it longitudinally to expose the luminal side, and staining it with dyes to reveal lipid-laden plaques. Photographs of the labeled arteries are taken after the staining and the area occupied by the stained structures (atheroma) is determined by using image-processing software. The pitfall of this method is the lack of tri-dimensionality that may lead to misestimation damage extension.Here we show a fast and relatively simple solution for the lack of tri-dimensionality of the en face method by tri-dimensionally imaging the dissected aortas with a femtosecond pulsed infrared (IR) laser. We used mice prone to develop Atherosclerosis (Apoe-/-) having different diets and age and compared the extension of the atheromic damage using en face and our optical method. Our results show the advantages of using volume for assessing atherosclerotic damage quantification and also the potential of the method in the characterization of single atheroma and atherosclerotic damage in preclinical studies.
Databáze: OpenAIRE