Literature DB >> 8087077

A dynamic model of renal blood flow autoregulation.

N H Holstein-Rathlou1, D J Marsh.   

Abstract

To test whether a mathematical model combining dynamic models of the tubuloglomerular feedback (TGF) mechanism and the myogenic mechanism was sufficient to explain dynamic autoregulation of renal blood flow, we compared model simulations with experimental data. To assess the dynamic characteristics of renal autoregulation, a broad band perturbation of the arterial pressure was employed in both the simulations and the experiments. Renal blood flow and tubular pressure were used as response variables in the comparison. To better approximate the situation in vivo where a large number of individual nephrons act in parallel, each simulation was performed with 125 parallel versions of the model. The key parameters of the 125 versions of the model were chosen randomly within the physiological range. None of the constituent models, i.e., the TGF and the myogenic, could alone reproduce the experimental observations. However, in combination they reproduced most of hte features of the various transfer functions calculated from the experimental data. The major discrepancy was the presence of a bimodal distribution of the admittance phase in the simulations. This is not consistent with most of the experimental data, which shows a unimodal curve for the admittance phase. The ability of the model to reproduce the experimental data supports the hypothesis that dynamic autoregulation of renal blood flow is due to the combined action of TGF and the myogenic response.

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Year:  1994        PMID: 8087077     DOI: 10.1007/bf02460465

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


  20 in total

1.  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

2.  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

3.  Feedback mediation of SNGFR autoregulation in hydropenic and DOCA- and salt-loaded rats.

Authors:  L C Moore; J Schnermann; S Yarimizu
Journal:  Am J Physiol       Date:  1979-07

4.  Renal autoregulation: models combining tubuloglomerular feedback and myogenic response.

Authors:  K Aukland; A H Oien
Journal:  Am J Physiol       Date:  1987-04

5.  Frequency domain analysis of renal autoregulation in the rat.

Authors:  T Sakai; E Hallman; D J Marsh
Journal:  Am J Physiol       Date:  1986-02

6.  Periodic changes in blood flow in the in vivo rat kidney.

Authors:  P Eggert; V Thiemann; C Weiss
Journal:  Pflugers Arch       Date:  1979-10       Impact factor: 3.657

7.  Segmental effects of norepinephrine and angiotensin II on isolated renal microvessels.

Authors:  R M Edwards
Journal:  Am J Physiol       Date:  1983-05

8.  Pulse wave propagation in rat renal tubules: implications for GFR autoregulation.

Authors:  D K Young; D J Marsh
Journal:  Am J Physiol       Date:  1981-05

9.  Tubuloglomerular feedback and autoregulation in spontaneously hypertensive rats.

Authors:  F H Daniels; W J Arendshorst; R G Roberds
Journal:  Am J Physiol       Date:  1990-06

10.  Oscillations in the proximal intratubular pressure: a mathematical model.

Authors:  N H Holstein-Rathlou; P P Leyssac
Journal:  Am J Physiol       Date:  1987-03
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  9 in total

Review 1.  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

2.  Renal blood flow and dynamic autoregulation in conscious mice.

Authors:  Radu Iliescu; Radu Cazan; Gerald R McLemore; Marcia Venegas-Pont; Michael J Ryan
Journal:  Am J Physiol Renal Physiol       Date:  2008-06-25

Review 3.  Modeling transport in the kidney: investigating function and dysfunction.

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

4.  A nonlinear model for myogenic regulation of blood flow to bone: equilibrium states and stability characteristics.

Authors:  T P Harrigan
Journal:  Ann Biomed Eng       Date:  1996 Mar-Apr       Impact factor: 3.934

5.  Parametric transfer function analysis and modeling of blood flow autoregulation in the optic nerve head.

Authors:  Jintao Yu; Yi Liang; Simon Thompson; Grant Cull; Lin Wang
Journal:  Int J Physiol Pathophysiol Pharmacol       Date:  2014-03-13

Review 6.  Ocular hemodynamics and glaucoma: the role of mathematical modeling.

Authors:  Alon Harris; Giovanna Guidoboni; Julia C Arciero; Annahita Amireskandari; Leslie A Tobe; Brent A Siesky
Journal:  Eur J Ophthalmol       Date:  2013 Mar-Apr       Impact factor: 2.597

7.  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

Review 8.  Renal autoregulation: new perspectives regarding the protective and regulatory roles of the underlying mechanisms.

Authors:  Rodger Loutzenhiser; Karen Griffin; Geoffrey Williamson; Anil Bidani
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2006-05       Impact factor: 3.619

Review 9.  Tubuloglomerular Feedback Synchronization in Nephrovascular Networks.

Authors:  Tayyaba Zehra; William A Cupples; Branko Braam
Journal:  J Am Soc Nephrol       Date:  2021-04-08       Impact factor: 14.978

  9 in total

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