Literature DB >> 8681323

Chaos and non-linear phenomena in renal vascular control.

K P Yip1, N H Holstein-Rathlou.   

Abstract

Renal autoregulation of blood flow depends on the functions of the tubuloglomerular feedback (TGF) system and the myogenic response of the afferent arteriole. Studies of the dynamic aspects of these control mechanisms at the level of both the single nephron and the whole kidney have revealed a variety of non-linear phenomena. In halothane-anesthetized, normotensive rats the TGF system oscillates regularly at 2-3 cycles/min because of the non-linearities and the time delays within the feedback system. Oscillations are present in single nephron blood flow, tubular pressure and flow, and in the tubular solute concentrations. Nephrons deriving their afferent arteriole from the same cortical radial artery are entrained, and consequently oscillate at the same frequency. Experimental studies have shown that the synchronization is due to an interaction of the TGF between nephrons. A necessary condition for the interaction is that the nephrons derive their blood supply from the same cortical radial artery. Development of hypertension is associated with a shift from periodic oscillations of tubular pressure to random-like fluctuations. Numerical analyses indicate that these fluctuations are an example of deterministic chaos. Experimental studies show that the development of hypertension is associated with an increase in strength of the interaction between nephrons. Mathematical models suggest that an increased nephron-nephron interaction could cause a bifurcation in the dynamics of TGF from periodic oscillations to deterministic chaos. In addition to the TGF mediated oscillation, experimental studies have also demonstrated the presence of a faster oscillation, this having a frequency of 120-160 mHz. This is caused by a mechanism intrinsic to the vascular wall, and presumably represents the well-known phenomenon of vasomotion. Using newly developed non-linear analytical methods non-linear interactions between vasomotion and the TGF mediated oscillation were detected both in single nephron and in whole kidney blood flow. The physiological significance of these non-linear phenomena in renal vascular control is discussed.

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Year:  1996        PMID: 8681323

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  7 in total

1.  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

2.  Remanent cell traction force in renal vascular smooth muscle cells induced by integrin-mediated mechanotransduction.

Authors:  Lavanya Balasubramanian; Chun-Min Lo; James S K Sham; Kay-Pong Yip
Journal:  Am J Physiol Cell Physiol       Date:  2013-01-16       Impact factor: 4.249

Review 3.  A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.

Authors:  Anastasia Korolj; Hau-Tieng Wu; Milica Radisic
Journal:  Biomaterials       Date:  2019-07-15       Impact factor: 12.479

4.  Analysis of nonstationarity in renal autoregulation mechanisms using time-varying transfer and coherence functions.

Authors:  Ki H Chon; Yuru Zhong; Leon C Moore; Niels H Holstein-Rathlou; William A Cupples
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-05-21       Impact factor: 3.619

Review 5.  Renal autoregulation and blood pressure management in circulatory shock.

Authors:  Emiel Hendrik Post; Jean-Louis Vincent
Journal:  Crit Care       Date:  2018-03-22       Impact factor: 9.097

6.  β-Blockade attenuates renal blood flow in experimental endotoxic shock by reducing perfusion pressure.

Authors:  Lex M van Loon; Gerard A Rongen; Johannes G van der Hoeven; Peter H Veltink; Joris Lemson
Journal:  Physiol Rep       Date:  2019-12

7.  Chaos and Hyperchaos in a Model of Ribosome Autocatalytic Synthesis.

Authors:  Vitaly A Likhoshvai; Vladislav V Kogai; Stanislav I Fadeev; Tamara M Khlebodarova
Journal:  Sci Rep       Date:  2016-12-12       Impact factor: 4.379

  7 in total

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