Literature DB >> 17411271

Vascular coupling induces synchronization, quasiperiodicity, and chaos in a nephron tree.

Donald J Marsh1, Olga V Sosnovtseva, Erik Mosekilde, Niels-Henrik Holstein-Rathlou.   

Abstract

The paper presents a study of synchronization phenomena in a system of 22 nephrons supplied with blood from a common cortical radial artery. The nephrons are assumed to interact via hemodynamic and vascularly propagated coupling, both mediated by vascular connections. Using anatomic and physiological criteria, the nephrons are divided into groups: cortical nephrons and medullary nephrons with short, intermediate and long Henle loops. Within each of these groups the delay parameters of the internal feedback regulation are given a random component to represent the internephron variability. For parameters that generate simple limit cycle dynamics in the pressure and flow regulation of single nephrons, the ensemble of coupled nephrons showed steady state, quasiperiodic or chaotic dynamics, depending on the interaction strengths and the arterial blood pressure. When the solutions were either quasiperiodic or chaotic, cortical nephrons synchronized to a single frequency, but the longer medullary nephrons formed two clusters with different frequencies. Under no physiologically realistic combination of parameters did all nephrons assume a common frequency. Our results suggest a greater variability in the nephron dynamics than is apparent from measurements performed on cortical nephrons only. This variability may explain the development of chaotic dynamics in tubular pressure records from hypertensive rats.

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Year:  2007        PMID: 17411271     DOI: 10.1063/1.2404774

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  14 in total

1.  C-type period-doubling transition in nephron autoregulation.

Authors:  Jakob L Laugesen; Erik Mosekilde; Niels-Henrik Holstein-Rathlou
Journal:  Interface Focus       Date:  2010-12-01       Impact factor: 3.906

Review 2.  Renal autoregulation in health and disease.

Authors:  Mattias Carlström; Christopher S Wilcox; William J Arendshorst
Journal:  Physiol Rev       Date:  2015-04       Impact factor: 37.312

3.  Electrotonic vascular signal conduction and nephron synchronization.

Authors:  Donald J Marsh; Ildiko Toma; Olga V Sosnovtseva; Janos Peti-Peterdi; Niels-Henrik Holstein-Rathlou
Journal:  Am J Physiol Renal Physiol       Date:  2008-12-30

4.  Nephron blood flow dynamics measured by laser speckle contrast imaging.

Authors:  Niels-Henrik Holstein-Rathlou; Olga V Sosnovtseva; Alexey N Pavlov; William A Cupples; Charlotte Mehlin Sorensen; Donald J Marsh
Journal:  Am J Physiol Renal Physiol       Date:  2010-11-03

Review 5.  Modeling transport in the kidney: investigating function and dysfunction.

Authors:  Aurélie Edwards
Journal:  Am J Physiol Renal Physiol       Date:  2009-11-04

6.  Coupling-induced complexity in nephron models of renal blood flow regulation.

Authors:  Jakob L Laugesen; Olga V Sosnovtseva; Erik Mosekilde; Niels-Henrik Holstein-Rathlou; Donald J Marsh
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-02-10       Impact factor: 3.619

7.  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

Review 8.  Mathematical modeling of kidney transport.

Authors:  Anita T Layton
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-07-12

9.  Mathematical modeling of renal hemodynamics in physiology and pathophysiology.

Authors:  Ioannis Sgouralis; Anita T Layton
Journal:  Math Biosci       Date:  2015-03-09       Impact factor: 2.144

Review 10.  Theoretical models for regulation of blood flow.

Authors:  Timothy W Secomb
Journal:  Microcirculation       Date:  2008-11       Impact factor: 2.628

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