Literature DB >> 23081729

Dynamics of nephron-vascular network.

D D Postnov1, D E Postnov, D J Marsh, N-H Holstein-Rathlou, O V Sosnovtseva.   

Abstract

The paper presents a modeling study of the spatial dynamics of a nephro-vascular network consisting of individual nephrons connected via a tree-like vascular branching structure. We focus on the effects of nonlinear mechanisms that are responsible for the formation of synchronous patterns in order to learn about processes not directly amenable to experimentation. We demonstrate that: (i) the nearest nephrons are synchronized in-phase due to a vascular propagated electrical coupling, (ii) the next few branching levels display a formation of phase-shifted patterns due to hemodynamic coupling and mode elimination, and (iii) distantly located areas show asynchronous behavior or, if all nephrons and branches are perfectly identical, an infinitely long transient behavior. These results contribute to the understanding of mechanisms responsible for the highly dynamic and limited synchronization observed among groups of nephrons despite of the fairly strong interaction between the individual units.

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Year:  2012        PMID: 23081729     DOI: 10.1007/s11538-012-9781-6

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Architecture of the rat nephron-arterial network: analysis with micro-computed tomography.

Authors:  Donald J Marsh; Dmitry D Postnov; Douglas J Rowland; Anthony S Wexler; Olga V Sosnovtseva; Niels-Henrik Holstein-Rathlou
Journal:  Am J Physiol Renal Physiol       Date:  2017-04-19

2.  Synchronization in renal microcirculation unveiled with high-resolution blood flow imaging.

Authors:  Dmitry Postnov; Donald J Marsh; Will A Cupples; Niels-Henrik Holstein-Rathlou; Olga Sosnovtseva
Journal:  Elife       Date:  2022-05-06       Impact factor: 8.713

3.  Synchronized renal blood flow dynamics mapped with wavelet analysis of laser speckle flowmetry data.

Authors:  Alexey R Brazhe; Donald J Marsh; Niels-Henrik Holstein-Rathlou; Olga Sosnovtseva
Journal:  PLoS One       Date:  2014-09-12       Impact factor: 3.240

4.  Modeling of Kidney Hemodynamics: Probability-Based Topology of an Arterial Network.

Authors:  Dmitry D Postnov; Donald J Marsh; Dmitry E Postnov; Thomas H Braunstein; Niels-Henrik Holstein-Rathlou; Erik A Martens; Olga Sosnovtseva
Journal:  PLoS Comput Biol       Date:  2016-07-22       Impact factor: 4.475

  4 in total

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