Literature DB >> 17418241

Effect of chaotic vasomotion in skeletal muscle on tissue oxygenation.

Ranjan K Pradhan1, V S Chakravarthy, Anil Prabhakar.   

Abstract

Vasomotion refers to spontaneous variations in the lumen size of small vessels, with a plausible role in regulation of various aspects of microcirculation. We propose a computational model of vasomotion in skeletal muscle in which the pattern of vasomotion is shown to critically determine the efficiency of oxygenation of a muscle fiber. In this model, precapillary sphincters are modeled as nonlinear oscillators. We hypothesize that these sphincters interact via exchange of vasoactive substances. As a consequence, vasomotion is described as a phenomenon associated with a network of nonlinear oscillators. As a specific instance, we model the vasomotion of precapillary sphincters surrounding an active fiber. The sphincters coordinate their rhythms so as to minimize oxygen deficit in the fiber. Our modeling studies indicate that efficient oxygenation of the fiber depends crucially on the mode of interaction among the vasomotions of individual sphincters. While chaotic forms of vasomotion enhanced oxygenation, regular patterns of vasomotion failed to meet the oxygenation demand accurately.

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Year:  2007        PMID: 17418241     DOI: 10.1016/j.mvr.2007.02.004

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  5 in total

Review 1.  Connexins and gap junctions in the EDHF phenomenon and conducted vasomotor responses.

Authors:  Cor de Wit; Tudor M Griffith
Journal:  Pflugers Arch       Date:  2010-04-09       Impact factor: 3.657

2.  Stochasticity of flow through microcirculation as a regulator of oxygen delivery.

Authors:  Viktor V Kislukhin
Journal:  Theor Biol Med Model       Date:  2010-07-09       Impact factor: 2.432

3.  Human internal thoracic artery grafts exhibit severe morphological and functional damage and spasmic vasomotion due to oxidative stress.

Authors:  Levente Kiss; Rita Benko; Endre Kovács; Tamás Szerafin; Katalin Módis; Csaba Szabó; Zsombor Lacza
Journal:  Med Sci Monit       Date:  2011-07

4.  A computational model of neuro-glio-vascular loop interactions.

Authors:  Bankim Subhash Chander; V Srinivasa Chakravarthy
Journal:  PLoS One       Date:  2012-11-20       Impact factor: 3.240

5.  Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model.

Authors:  Ryan T Philips; Karishma Chhabria; V Srinivasa Chakravarthy
Journal:  Front Neural Circuits       Date:  2016-02-26       Impact factor: 3.492

  5 in total

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