Literature DB >> 17524429

A computational model that links non-periodic vasomotion to enhanced oxygenation in skeletal muscle.

Ranjan K Pradhan1, V S Chakravarthy.   

Abstract

We propose a model of a capillary network in which chaotic capillary activity is crucial for efficient oxygenation of a muscle fiber. Tissue oxygenation by microcirculation is controlled by a complex pattern of opening and closing of precapillary sphincters, a phenomenon known as vasomotion. We model the individual precapillary sphincter as a non-linear oscillator that exhibits perfectly periodic vasomotion in isolation. The precapillary sphincters surrounding an active fiber are considered as a network; specific modes of interaction within this network result in complex patterns of vasomotion. In our model, efficient oxygenation of the fiber depends crucially on the mode of interaction among the vasomotions of the individual capillaries. Network interactions that lead to chaotic vasomotion are found to be essential for meeting the tissue oxygen demands precisely. Interactions that cause regular rhythmic patterns of vasomotion fail to meet oxygenation demands accurately.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17524429     DOI: 10.1016/j.mbs.2007.02.010

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  3 in total

1.  Edward F. Adolph Distinguished Lecture. Contemporary model of muscle microcirculation: gateway to function and dysfunction.

Authors:  David C Poole
Journal:  J Appl Physiol (1985)       Date:  2019-05-16

Review 2.  Is Vasomotion in Cerebral Arteries Impaired in Alzheimer's Disease?

Authors:  Luigi Yuri Di Marco; Eszter Farkas; Chris Martin; Annalena Venneri; Alejandro F Frangi
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

3.  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

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.