Nonlinear system analysis of renal autoregulation in normotensive and hypertensive rats

The authors compared the dynamic characteristics in renal autoregulation of blood flow of normotensive Sprague-Dawley rats (SDR) and spontaneously hypertensive rats (SHR), using both linear and nonlinear systems analysis. Linear analysis yielded only limited information about the differences in dyna...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 1998-03, Vol.45 (3), p.342-353
Main Authors: Chon, K.H., Yu-Ming Chen, Holstein-Rathlou, N.-H., Marmarelis, V.Z.
Format: Article
Language:English
Subjects:
Animals
Arterial blood pressure
Biological and medical sciences
Blood flow
Blood Pressure - physiology
Control system analysis
Errors
Frequency
Fundamental and applied biological sciences. Psychology
Hemodynamics. Rheology
Homeostasis
Hypertension
Hypertension - physiopathology
Information analysis
Kernel
Linear Models
Male
Mathematical models
Models, Biological
Nonlinear dynamical systems
Nonlinear Dynamics
Nonlinear systems
Predictive models
Rats
Rats, Inbred SHR
Rats, Sprague-Dawley
Reference Values
Renal Circulation - physiology
Transfer functions
Vertebrates: cardiovascular system
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Summary:The authors compared the dynamic characteristics in renal autoregulation of blood flow of normotensive Sprague-Dawley rats (SDR) and spontaneously hypertensive rats (SHR), using both linear and nonlinear systems analysis. Linear analysis yielded only limited information about the differences in dynamics between SDR and SHR. The predictive ability, as determined by normalized mean-square errors (NMSE), of a third-order Volterra model is better than for a linear model. This decrease in NMSE with a third-order model from that of a linear model is especially evident at frequencies below 0.2 Hz. Furthermore, NMSE are significantly higher in SHR than SDR, suggesting a more complex nonlinear system in SHR. The contribution of the third-order kernel in describing the dynamics of renal autoregulation in arterial blood pressure and blood flow was found to be important. Moreover, the authors have identified the presence of nonlinear interactions between the oscillatory components of the myogenic mechanism and tubuloglomerular feedback (TGF) at the level of whole kidney blood flow in SDR. An interaction between these two mechanisms had previously been revealed for SDR only at the single nephron level. However, nonlinear interactions between the myogenic and TGF mechanisms are not detected for SHR.
ISSN:0018-9294
1558-2531
DOI:10.1109/10.661159