A computational model of oxygen transport in skeletal muscle for sprouting and splitting modes of angiogenesis

Document Type

Article

Publication Date

7-7-2006

Abstract

Oxygen transport from capillary networks in muscle at a high oxygen consumption rate was simulated using a computational model to assess the relative efficacies of sprouting and splitting modes of angiogenesis. Efficacy was characterized by the volumetric fraction of hypoxic tissue and overall heterogeneity of oxygen distribution at steady state. Oxygen transport was simulated for a three-dimensional vascular network using parameters for rat extensor digitorum longus (EDL) muscle when oxygen consumption by tissue reached 6, 12, and 18 times basal consumption. First, a control network was generated by using straight non-anastomosed capillaries to establish baseline capillarity. Two networks were then constructed simulating either abluminal lateral sprouting or intraluminal splitting angiogenesis such that capillary surface area was equal in both networks. The sprouting network was constructed by placing anastomosed capillaries between straight capillaries of the control network with a higher probability of placement near hypoxic tissue. The splitting network was constructed by splitting capillaries from the control network into two branches at randomly chosen branching points. Under conditions of moderate oxygen consumption (6 times basal), only minor differences in oxygen delivery resulted between the sprouting and splitting networks. At higher consumption levels (12 and 18 times basal), the splitting network had the lowest volume of hypoxic tissue of the three networks. However, when total blood flow in all three networks was made equal, the sprouting network had the lowest volume of hypoxic tissue. This study also shows that under the steady-state conditions the effect of myoglobin (Mb) on oxygen transport was small. © 2005 Elsevier Ltd. All rights reserved.

Identifier

33744504824 (Scopus)

Publication Title

Journal of Theoretical Biology

External Full Text Location

https://doi.org/10.1016/j.jtbi.2005.11.019

e-ISSN

10958541

ISSN

00225193

PubMed ID

16388825

First Page

94

Last Page

108

Issue

1

Volume

241

Grant

HL 79653

Fund Ref

National Institutes of Health

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