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Segmental differences in the orientation of smooth muscle cells in the tunica media of porcine aortae

Citace:
TONAR, Z., KOCHOVÁ, P., CIMRMAN, R., PERKTOLD, J., WITTER, K. Segmental differences in the orientation of smooth muscle cells in the tunica media of porcine aortae. Biomechanics and Modeling in Mechanobiology, 2015, roč. 14, č. 2, s. 315-332. ISSN: 1617-7959
Druh: ČLÁNEK
Jazyk publikace: eng
Anglický název: Segmental differences in the orientation of smooth muscle cells in the tunica media of porcine aortae
Rok vydání: 2015
Autoři: Doc. MUDr. et Mgr. Zbyněk Tonar Ph.D. , Ing. Petra Kochová Ph.D. , Ing. Robert Cimrman Ph.D. , Josef Perktold , Dr.med.vet. Kirsti Witter Ph.D:
Abstrakt EN: The orientation of vascular smooth muscle cells of porcine aortae was assessed to test the widely accepted assumption that these smooth muscle cells are arranged in two helices. We used tangential histological sections of 82 samples of five anatomical segments of thoracic and abdominal porcine aortae and three age groups in animals ranging in age from 5-210 days. The distribution of the orientation of smooth muscle cell nuclei in five proximodistal segments of the porcine aortae was determined using an algorithm that fitted a mixture of one to five von Mises probability distributions of the data retrieved from histological micrographs. Automated tracking of the nuclei was confirmed by and consistent with manual histological analysis. The orientation of the vascular smooth muscle cells was successfully fitted using two von Mises distributions in most of the samples with different ages, wall thicknesses, and anatomical positions, which corresponds to two populations of vascular smooth muscle cells. A minor fraction of samples also required a tertiary von Mises distribution to describe the orientation of the smooth muscle cell nuclei. The distribution of vascular smooth muscle cells in five aortic segments ranging from the thoracic ascending aorta to the abdominal intrarenal aorta exhibited similar main directions but different shapes. These results are consistent with the widely used model of two muscular helices intermingling in the arterial wall. Furthermore, we calculated the central angles of symmetry and the mean value of angles between the two assumed smooth muscle directions. We also successfully approximated the orientation of the smooth muscle cells using a mixture of von Mises distributions and our open source software named dist_mixtures. This method is openly available to researchers who are interested in mathematically assessing the orientation of cell nuclei in various tissues.
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