Literature DB >> 21190949

A mathematical model of the myogenic response to systolic pressure in the afferent arteriole.

Jing Chen1, Ioannis Sgouralis, Leon C Moore, Harold E Layton, Anita T Layton.   

Abstract

Elevations in systolic blood pressure are believed to be closely linked to the pathogenesis and progression of renal diseases. It has been hypothesized that the afferent arteriole (AA) protects the glomerulus from the damaging effects of hypertension by sensing increases in systolic blood pressure and responding with a compensatory vasoconstriction (Loutzenhiser R, Bidani A, Chilton L. Circ Res 90: 1316-1324, 2002). To investigate this hypothesis, we developed a mathematical model of the myogenic response of an AA wall, based on an arteriole model (Gonzalez-Fernandez JM, Ermentrout B. Math Biosci 119: 127-167, 1994). The model incorporates ionic transport, cell membrane potential, contraction of the AA smooth muscle cell, and the mechanics of a thick-walled cylinder. The model represents a myogenic response based on a pressure-induced shift in the voltage dependence of calcium channel openings: with increasing transmural pressure, model vessel diameter decreases; and with decreasing pressure, vessel diameter increases. Furthermore, the model myogenic mechanism includes a rate-sensitive component that yields constriction and dilation kinetics similar to behaviors observed in vitro. A parameter set is identified based on physical dimensions of an AA in a rat kidney. Model results suggest that the interaction of Ca(2+) and K(+) fluxes mediated by voltage-gated and voltage-calcium-gated channels, respectively, gives rise to periodicity in the transport of the two ions. This results in a time-periodic cytoplasmic calcium concentration, myosin light chain phosphorylation, and cross-bridge formation with the attending muscle stress. Furthermore, the model predicts myogenic responses that agree with experimental observations, most notably those which demonstrate that the renal AA constricts in response to increases in both steady and systolic blood pressures. The myogenic model captures these essential functions of the renal AA, and it may prove useful as a fundamental component in a multiscale model of the renal microvasculature suitable for investigations of the pathogenesis of hypertensive renal diseases.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21190949      PMCID: PMC3064127          DOI: 10.1152/ajprenal.00382.2010

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


  38 in total

1.  Myogenic responses of isolated arterioles: test for a rate-sensitive mechanism.

Authors:  M J Davis; P J Sikes
Journal:  Am J Physiol       Date:  1990-12

2.  Latch-bridge model in smooth muscle: [Ca2+]i can quantitatively predict stress.

Authors:  C M Rembold; R A Murphy
Journal:  Am J Physiol       Date:  1990-08

3.  Tubuloglomerular feedback dynamics and renal blood flow autoregulation in rats.

Authors:  N H Holstein-Rathlou; A J Wagner; D J Marsh
Journal:  Am J Physiol       Date:  1991-01

4.  Bifurcation analysis of TGF-mediated oscillations in SNGFR.

Authors:  H E Layton; E B Pitman; L C Moore
Journal:  Am J Physiol       Date:  1991-11

Review 5.  The function of myosin and myosin light chain kinase phosphorylation in smooth muscle.

Authors:  K E Kamm; J T Stull
Journal:  Annu Rev Pharmacol Toxicol       Date:  1985       Impact factor: 13.820

6.  Vascular muscle cell depolarization and activation in renal arteries on elevation of transmural pressure.

Authors:  D R Harder; R Gilbert; J H Lombard
Journal:  Am J Physiol       Date:  1987-10

7.  Tonic force maintenance with reduced shortening velocity in arterial smooth muscle.

Authors:  P F Dillon; R A Murphy
Journal:  Am J Physiol       Date:  1982-01

8.  Voltage oscillations in the barnacle giant muscle fiber.

Authors:  C Morris; H Lecar
Journal:  Biophys J       Date:  1981-07       Impact factor: 4.033

9.  Spontaneous blood pressure fluctuations and renal blood flow dynamics.

Authors:  W A Cupples; P Novak; V Novak; F C Salevsky
Journal:  Am J Physiol       Date:  1996-01

10.  Elevations in arterial pressure induce the formation of spontaneous action potentials and alter neurotransmission in canine ileum arteries.

Authors:  J S Smeda; E E Daniel
Journal:  Circ Res       Date:  1988-06       Impact factor: 17.367

View more
  18 in total

1.  Autoregulation and conduction of vasomotor responses in a mathematical model of the rat afferent arteriole.

Authors:  Ioannis Sgouralis; Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2012-04-11

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.  Calcium dynamics underlying the myogenic response of the renal afferent arteriole.

Authors:  Aurélie Edwards; Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2013-10-30

4.  Mechanical control of cation channels in the myogenic response.

Authors:  Brian E Carlson; Daniel A Beard
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-05-13       Impact factor: 4.733

5.  Conduction of feedback-mediated signal in a computational model of coupled nephrons.

Authors:  Ioannis Sgouralis; Anita T Layton
Journal:  Math Med Biol       Date:  2015-03-19       Impact factor: 1.854

6.  Dominant factors that govern pressure natriuresis in diuresis and antidiuresis: a mathematical model.

Authors:  Robert Moss; Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2014-02-19

7.  Theoretical assessment of renal autoregulatory mechanisms.

Authors:  Ioannis Sgouralis; Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2014-03-12

Review 8.  Delayed graft function in the kidney transplant.

Authors:  A Siedlecki; W Irish; D C Brennan
Journal:  Am J Transplant       Date:  2011-09-19       Impact factor: 8.086

9.  Transfer Function Analysis of Dynamic Blood Flow Control in the Rat Kidney.

Authors:  Ioannis Sgouralis; Vasileios Maroulas; Anita T Layton
Journal:  Bull Math Biol       Date:  2016-05-12       Impact factor: 1.758

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.