Literature DB >> 8087081

A dynamic numerical method for models of renal tubules.

H E Layton1, E B Pitman.   

Abstract

We show that an explicit method for solving hyperbolic partial differential equations can be applied to a model of a renal tubule to obtain both dynamic and steady-state solutions. Appropriate implementation of this method eliminates numerical instability arising from reversal of intratubular flow direction. To obtain second-order convergence in space and time, we employ the recently developed ENO (Essentially Non-Oscillatory) methodology. We present examples of computed flows and concentration profiles in representative model contexts. Finally, we indicate briefly how model tubules may be coupled to construct large-scale simulations of the renal counterflow system.

Mesh:

Year:  1994        PMID: 8087081     DOI: 10.1007/bf02460470

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


  14 in total

1.  Three-dimensional anatomy and renal concentrating mechanism. I. Modeling results.

Authors:  A S Wexler; R E Kalaba; D J Marsh
Journal:  Am J Physiol       Date:  1991-03

2.  Electrolyte, urea, and water transport in a two-nephron central core model of the renal medulla.

Authors:  J L Stephenson; Y Zhang; R Tewarson
Journal:  Am J Physiol       Date:  1989-09

3.  Electrolyte transport in a central core model of the renal medulla.

Authors:  J L Stephenson; Y Zhang; A Eftekhari; R Tewarson
Journal:  Am J Physiol       Date:  1987-11

4.  Passive, one-dimensional countercurrent models do not simulate hypertonic urine formation.

Authors:  A S Wexler; R E Kalaba; D J Marsh
Journal:  Am J Physiol       Date:  1987-11

5.  Quantitative analysis of mass and energy balance in non-ideal models of the renal counterflow system.

Authors:  J L Stephenson; R P Tewarson; R Mejia
Journal:  Proc Natl Acad Sci U S A       Date:  1974-05       Impact factor: 11.205

6.  Concentration of urine in a central core model of the renal counterflow system.

Authors:  J L Stephenson
Journal:  Kidney Int       Date:  1972-08       Impact factor: 10.612

7.  On the solution of equations for renal counterflow models.

Authors:  R P Tewarson; J L Stephenson; M Garcia; Y Zhang
Journal:  Comput Biol Med       Date:  1985       Impact factor: 4.589

8.  Three-dimensional anatomy and renal concentrating mechanism. II. Sensitivity results.

Authors:  A S Wexler; R E Kalaba; D J Marsh
Journal:  Am J Physiol       Date:  1991-03

9.  Effectiveness of a salt transport cascade in the renal medulla: computer simulations.

Authors:  P Lory
Journal:  Am J Physiol       Date:  1987-06

10.  Urea transport in a distributed loop model of the urine-concentrating mechanism.

Authors:  H E Layton
Journal:  Am J Physiol       Date:  1990-04
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  5 in total

1.  Signal transduction in a compliant thick ascending limb.

Authors:  Anita T Layton; Leon C Moore; Harold E Layton
Journal:  Am J Physiol Renal Physiol       Date:  2012-01-18

2.  Functional implications of the three-dimensional architecture of the rat renal inner medulla.

Authors:  Anita T Layton; Thomas L Pannabecker; William H Dantzler; Harold E Layton
Journal:  Am J Physiol Renal Physiol       Date:  2010-01-06

3.  Numerical simulation of propagating concentration profiles in renal tubules.

Authors:  E B Pitman; H E Layton; L C Moore
Journal:  Bull Math Biol       Date:  1994-05       Impact factor: 1.758

4.  Feedback-mediated dynamics in a model of a compliant thick ascending limb.

Authors:  Anita T Layton
Journal:  Math Biosci       Date:  2010-10-08       Impact factor: 2.144

5.  Feedback-mediated dynamics in a model of coupled nephrons with compliant thick ascending limbs.

Authors:  Anita T Layton; Matthew Bowen; Amy Wen; Harold E Layton
Journal:  Math Biosci       Date:  2011-02-15       Impact factor: 2.144

  5 in total

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