Literature DB >> 1992780

Tubuloglomerular feedback dynamics and renal blood flow autoregulation in rats.

N H Holstein-Rathlou1, A J Wagner, D J Marsh.   

Abstract

To decide whether tubuloglomerular feedback (TGF) can account for renal autoregulation, we tested predictions of a TGF simulation. Broad-band and single-frequency perturbations were applied to arterial pressure; arterial blood pressure, renal blood flow and proximal tubule pressure were measured. Data were analyzed by linear systems analysis. Broad-band forcings of arterial pressure were also applied to the model to compare experimental results with simulations. With arterial pressure as the input and tubular pressure, renal blood flow, or renal vascular resistance as outputs, the model correctly predicted gain and phase only in the low-frequency range. Experimental results revealed a second component of vascular control active at 100-150 mHz that was not predicted by the simulation. Forcings at single frequencies showed that the system behaves linearly except in the band of 33-50 mHz in which, in addition, there are autonomous oscillations in TGF. Higher amplitude forcings in this band were attenuated by autoregulatory mechanisms, but low-amplitude forcings entrained the autonomous oscillations and provoked amplified oscillations in blood flow, showing an effect of TGF on whole kidney blood flow. We conclude that two components can be detected in the dynamic regulation of renal blood flow, i.e., a slow component that represents TGF and a faster component that most likely represents an intrinsic vascular myogenic mechanism.

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Year:  1991        PMID: 1992780     DOI: 10.1152/ajprenal.1991.260.1.F53

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  22 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.  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

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

Authors:  Jing Chen; Ioannis Sgouralis; Leon C Moore; Harold E Layton; Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2010-12-29

Review 4.  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

5.  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 6.  Integrated control of Na transport along the nephron.

Authors:  Lawrence G Palmer; Jürgen Schnermann
Journal:  Clin J Am Soc Nephrol       Date:  2014-08-06       Impact factor: 8.237

7.  Knockout of Dual-Specificity Protein Phosphatase 5 Protects Against Hypertension-Induced Renal Injury.

Authors:  Chao Zhang; Xiaochen He; Sydney R Murphy; Huawei Zhang; Shaoxun Wang; Ying Ge; Wenjun Gao; Jan M Williams; Aron M Geurts; Richard J Roman; Fan Fan
Journal:  J Pharmacol Exp Ther       Date:  2019-05-22       Impact factor: 4.030

8.  Autoregulation of renal blood flow in the conscious dog and the contribution of the tubuloglomerular feedback.

Authors:  A Just; U Wittmann; H Ehmke; H R Kirchheim
Journal:  J Physiol       Date:  1998-01-01       Impact factor: 5.182

Review 9.  Regional renal blood flow in normal and disease states.

Authors:  M C Regan; L S Young; J Geraghty; J M Fitzpatrick
Journal:  Urol Res       Date:  1995

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

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