Literature DB >> 3946612

Frequency domain analysis of renal autoregulation in the rat.

T Sakai, E Hallman, D J Marsh.   

Abstract

The frequency response of renal blood flow was estimated to test our suggestion that autoregulation had one fast and one slow component. Arterial pressure was varied periodically by a pump connected to the distal aorta or aperiodically by stimulating atrial fibrillation. There was only one regulatory mechanism, corresponding to the slow component seen earlier. Two apparent regulators were seen when pressure was measured far from the renal artery (right common carotid), rather than near (superior mesenteric). Simultaneous measurements of pressure in both arteries showed interference of the pressure wave from the heart with pressure waves from the pump in the distal aorta at frequencies near that of the heart rate. Measurements made in the superior mesenteric artery were likely to be correct. The earlier results were in error, and frequency response methods detect only one regulator. Animals made acutely hypertensive behaved similarly. The effect of the regulator appears as a phase shift at frequencies of 0.25 Hz and below and an attenuated flow magnitude at frequencies below 0.1 Hz. This frequency response is consistent with the flow propagation time to the macula densa. We conclude that macula densa feedback was the only flow-regulating mechanism detected.

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Year:  1986        PMID: 3946612     DOI: 10.1152/ajprenal.1986.250.2.F364

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


  7 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.  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

3.  Fluid waves in renal tubules.

Authors:  T Sakai; D A Craig; A S Wexler; D J Marsh
Journal:  Biophys J       Date:  1986-11       Impact factor: 4.033

4.  Nonlinear analysis of renal autoregulation under broadband forcing conditions.

Authors:  V Z Marmarelis; K H Chon; Y M Chen; D J Marsh; N H Holstein-Rathlou
Journal:  Ann Biomed Eng       Date:  1993 Nov-Dec       Impact factor: 3.934

5.  A dynamic model of renal blood flow autoregulation.

Authors:  N H Holstein-Rathlou; D J Marsh
Journal:  Bull Math Biol       Date:  1994-05       Impact factor: 1.758

6.  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

7.  Synchronization in renal microcirculation unveiled with high-resolution blood flow imaging.

Authors:  Dmitry Postnov; Donald J Marsh; Will A Cupples; Niels-Henrik Holstein-Rathlou; Olga Sosnovtseva
Journal:  Elife       Date:  2022-05-06       Impact factor: 8.713

  7 in total

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