Literature DB >> 1061122

Model of solute and water movement in the kidney.

J L Stephenson, R Mejia, R P Tewarson.   

Abstract

Finite difference equations describing salt and water movement in a model of the mammalian kidney have been solved numerically by an extension of the Newton-Raphson method used for the medullary counterflow system. The method permits both steady-state and transient solutions. It has been possible to simulate behavior of the whole kidney as a function of hydrostatic pressures in renal artery, vein, and pelvis; protein and other solute concentrations in arterial blood; and phenomenological equations describing transport of solute and water across nephron and capillary walls. With the model it has been possible to compute concentrations, flows, and hydrostatic pressures in the various nephron segments and in cortical and medullary capillaries and interstitium. In a general way, calculations on the model have met intuitive expectations. In addition, they have reemphasized the critical dependence of renal function on the hydraulic and solute permeabilities of glomerular, postglomerular, and medullary capillaries. These studies provide additional support for our thesis that the functional unit of the kidney is not the single nephron, but a nephrovascular unit consisting of a group of nephrons and their tightly coupled vasculature.

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Year:  1976        PMID: 1061122      PMCID: PMC335879          DOI: 10.1073/pnas.73.1.252

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  5 in total

1.  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

2.  Concentrating engines and the kidney. I. Central core model of the renal medulla.

Authors:  J L Stephenson
Journal:  Biophys J       Date:  1973-06       Impact factor: 4.033

3.  Concentrating engines and the kidney. II. Multisolute central core systems.

Authors:  J L Stephenson
Journal:  Biophys J       Date:  1973-06       Impact factor: 4.033

4.  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

5.  Countercurrent multiplication system without active transport in inner medulla.

Authors:  J P Kokko; F C Rector
Journal:  Kidney Int       Date:  1972-10       Impact factor: 10.612

  5 in total
  13 in total

1.  Electrolyte transport across a simple epithelium. Steady-state and transient analysis.

Authors:  A M Weinstein; J L Stephenson
Journal:  Biophys J       Date:  1979-08       Impact factor: 4.033

Review 2.  Systems biology of kidney diseases.

Authors:  John Cijiang He; Peter Y Chuang; Avi Ma'ayan; Ravi Iyengar
Journal:  Kidney Int       Date:  2011-08-31       Impact factor: 10.612

3.  Concentrating engines and the kidney. III. Canonical mass balance equation for multinephron models of the renal medulla.

Authors:  J L Stephenson
Journal:  Biophys J       Date:  1976-11       Impact factor: 4.033

Review 4.  Mammalian renal modifications in dry environments.

Authors:  G K Mbassa
Journal:  Vet Res Commun       Date:  1988       Impact factor: 2.459

5.  Distribution and microstructure of intrarenal arteries in Bactrian camels (Camelus Bactrianus).

Authors:  Hui Li; Yan Cui; Yali Wang; Haiyu Qiu; Seth Yaw Afedo; Yufeng Huang; Xuefeng Bai
Journal:  Histol Histopathol       Date:  2019-09-19       Impact factor: 2.303

6.  Performance of one- and two-dimensional models for a slow flow system in a long, permeable tubule.

Authors:  K Morrish
Journal:  J Math Biol       Date:  1986       Impact factor: 2.259

7.  Distribution of Henle's loops may enhance urine concentrating capability.

Authors:  H E Layton
Journal:  Biophys J       Date:  1986-05       Impact factor: 4.033

8.  Renal countercurrent system: role of collecting duct convergence and pelvic urea predicted from a mathematical model.

Authors:  P Lory; A Gilg; M Horster
Journal:  J Math Biol       Date:  1983       Impact factor: 2.259

9.  Dynamic simulation of the renal medulla.

Authors:  G L Barrett; J S Packer
Journal:  Med Biol Eng Comput       Date:  1983-05       Impact factor: 2.602

10.  Analysis of the transient behavior of kidney models.

Authors:  J L Stephenson
Journal:  Bull Math Biol       Date:  1978       Impact factor: 1.758

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