Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees

Xue, Yidan ORCID: https://orcid.org/0000-0001-9532-8671, Georgakopoulou, Theodosia, van der Wijk, Anne-Eva, Józsa, Tamás I., van Bavel, Ed and Payne, Stephen J. 2022. Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees. PLoS Computational Biology 18 (8) , e1010166. 10.1371/journal.pcbi.1010166

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Abstract

The microvasculature plays a key role in oxygen transport in the mammalian brain. Despite the close coupling between cerebral vascular geometry and local oxygen demand, recent experiments have reported that microvascular occlusions can lead to unexpected distant tissue hypoxia and infarction. To better understand the spatial correlation between the hypoxic regions and the occlusion sites, we used both in vivo experiments and in silico simulations to investigate the effects of occlusions in cerebral penetrating arteriole trees on tissue hypoxia. In a rat model of microembolisation, 25 μm microspheres were injected through the carotid artery to occlude penetrating arterioles. In representative models of human cortical columns, the penetrating arterioles were occluded by simulating the transport of microspheres of the same size and the oxygen transport was simulated using a Green’s function method. The locations of microspheres and hypoxic regions were segmented, and two novel distance analyses were implemented to study their spatial correlation. The distant hypoxic regions were found to be present in both experiments and simulations, and mainly due to the hypoperfusion in the region downstream of the occlusion site. Furthermore, a reasonable agreement for the spatial correlation between hypoxic regions and occlusion sites is shown between experiments and simulations, which indicates the good applicability of in silico models in understanding the response of cerebral blood flow and oxygen transport to microemboli.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Publisher:	Public Library of Science
ISSN:	1553-734X
Last Modified:	12 Jan 2024 15:45
URI:	https://orca.cardiff.ac.uk/id/eprint/165292

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