scholarly journals Detection of low-frequency oscillations in renal blood flow

2009 ◽  
Vol 297 (1) ◽  
pp. F155-F162 ◽  
Author(s):  
K. L. Siu ◽  
B. Sung ◽  
W. A. Cupples ◽  
L. C. Moore ◽  
K. H. Chon
Keyword(s):  
Blood Flow ◽  
Transfer Function ◽  
Renal Blood Flow ◽  
Experimental Approach ◽  
Low Frequency ◽  
Tubuloglomerular Feedback ◽  
Resonant Peak ◽  
The Third ◽  
Transfer Function Analysis ◽  
Autoregulatory Mechanism

Detection of the low-frequency (LF; ∼0.01 Hz) component of renal blood flow, which is theorized to reflect the action of a third renal autoregulatory mechanism, has been difficult due to its slow dynamics. In this work, we used three different experimental approaches to detect the presence of the LF component of renal autoregulation using normotensive and spontaneously hypertensive rats (SHR), both anesthetized and unanesthetized. The first experimental approach utilized a blood pressure forcing in the form of a chirp, an oscillating perturbation with linearly increasing frequency, to elicit responses from the LF autoregulatory component in anesthetized normotensive rats. The second experimental approach involved collection and analysis of spontaneous blood flow fluctuation data from anesthetized normotensive rats and SHR to search for evidence of the LF component in the form of either amplitude or frequency modulation of the myogenic and tubuloglomerular feedback mechanisms. The third experiment used telemetric recordings of arterial pressure and renal blood flow from normotensive rats and SHR for the same purpose. Our transfer function analysis of chirp signal data yielded a resonant peak centered at 0.01 Hz that is greater than 0 dB, with the transfer function gain attenuated to lower than 0 dB at lower frequencies, which is a hallmark of autoregulation. Analysis of the data from the second experiments detected the presence of ∼0.01-Hz oscillations only with isoflurane, albeit at a weaker strength compared with telemetric recordings. With the third experimental approach, the strength of the LF component was significantly weaker in the SHR than in the normotensive rats. In summary, our detection via the amplitude modulation approach of interactions between the LF component and both tubuloglomerular feedback and the myogenic mechanism, with the LF component having an identical frequency to that of the resonant gain peak, provides evidence that 0.01-Hz oscillations may represent the third autoregulatory mechanism.

High-NaCl intake impairs dynamic autoregulation of renal blood flow in ANG II-infused rats

2010 ◽  
Vol 299 (5) ◽  
pp. R1142-R1149 ◽  
Author(s):  
Aso Saeed ◽  
Gerald F. DiBona ◽  
Niels Marcussen ◽  
Gregor Guron
Keyword(s):  
Blood Flow ◽  
Transfer Function ◽  
Renal Blood Flow ◽  
Function Analysis ◽  
Feedback Mechanism ◽  
Tubuloglomerular Feedback ◽  
Ang Ii ◽  
Frequency Range ◽  
Sprague Dawley ◽  
Transfer Function Analysis

The aim of this study was to investigate dynamic autoregulation of renal blood flow (RBF) in ANG II-infused rats and the influence of high-NaCl intake. Sprague-Dawley rats received ANG II (250 ng·kg−1·min−1 sc) or saline vehicle (sham) for 14 days after which acute renal clearance experiments were performed during thiobutabarbital anesthesia. Rats ( n = 8–10 per group) were either on a normal (NNa; 0.4% NaCl)- or high (HNa; 8% NaCl)-NaCl diet. Separate groups were treated with 4-hydroxy-2,2,6,6-tetramethylpiperidine-1-oxyl (tempol; 1 M in drinking water). Transfer function analysis from arterial pressure to RBF in the frequency domain was used to examine the myogenic response (MR; 0.06–0.09 Hz) and the tubuloglomerular feedback mechanism (TGF; 0.03–0.06 Hz). MAP was elevated in ANG II-infused rats compared with sham groups ( P < 0.05). RBF in ANG II HNa was reduced vs. sham NNa and sham HNa (6.0 ± 0.3 vs. 7.9 ± 0.3 and 9.1 ± 0.3 ml·min−1·g kidney wt−1, P < 0.05). transfer function gain in ANG II HNa was significantly elevated in the frequency range of the MR (1.26 ± 0.50 dB, P < 0.05 vs. all other groups) and in the frequency range of the TGF (−0.02 ± 0.50 dB, P < 0.05 vs. sham NNa and sham HNa). Gain values in the frequency range of the MR and TGF were significantly reduced by tempol in ANG II-infused rats on HNa diet. In summary, the MR and TGF components of RBF autoregulation were impaired in ANG II HNa, and these abnormalities were attenuated by tempol, suggesting a pathogenetic role for superoxide in the impaired RBF autoregulatory response.

A novel mechanism of renal blood flow autoregulation and the autoregulatory role of A1 adenosine receptors in mice

2007 ◽  
Vol 293 (5) ◽  
pp. F1489-F1500 ◽  
Author(s):  
Armin Just ◽  
William J. Arendshorst
Keyword(s):  
Blood Flow ◽  
Renal Blood Flow ◽  
Adenosine Receptors ◽  
Time Course ◽  
Tubuloglomerular Feedback ◽  
The Third ◽  
A1 Adenosine Receptors ◽  
The Impact ◽  
Renal Blood Flow Autoregulation

Autoregulation of renal blood flow (RBF) is mediated by a fast myogenic response (MR; ∼5 s), a slower tubuloglomerular feedback (TGF; ∼25 s), and potentially additional mechanisms. A1 adenosine receptors (A1AR) mediate TGF in superficial nephrons and contribute to overall autoregulation, but the impact on the other autoregulatory mechanisms is unknown. We studied dynamic autoregulatory responses of RBF to rapid step increases of renal artery pressure in mice. MR was estimated from autoregulation within the first 5 s, TGF from that at 5–25 s, and a third mechanism from 25–100 s. Genetic deficiency of A1AR (A1AR−/−) reduced autoregulation at 5–25 s by 50%, indicating a residual fourth mechanism resembling TGF kinetics but independent of A1AR. MR and third mechanism were unaltered in A1AR−/−. Autoregulation in A1AR−/− was faster at 5–25 than at 25–100 s suggesting two separate mechanisms. Furosemide in wild-type mice (WT) eliminated the third mechanism and enhanced MR, indicating TGF-MR interaction. In A1AR−/−, furosemide did not further impair autoregulation at 5–25 s, but eliminated the third mechanism and enhanced MR. The resulting time course was the same as during furosemide in WT, indicating that A1AR do not affect autoregulation during furosemide inhibition of TGF. We conclude that at least one novel mechanism complements MR and TGF in RBF autoregulation, that is slower than MR and TGF and sensitive to furosemide, but not mediated by A1AR. A fourth mechanism with kinetics similar to TGF but independent of A1AR and furosemide might also contribute. A1AR mediate classical TGF but not TGF-MR interaction.

scholarly journals Dynamic relationship between sympathetic nerve activity and renal blood flow: a frequency domain approach

2001 ◽  
Vol 281 (1) ◽  
pp. R206-R212 ◽  
Author(s):  
Sarah-Jane Guild ◽  
Paul C. Austin ◽  
Michael Navakatikyan ◽  
John V. Ringwood ◽  
Simon C. Malpas
Keyword(s):  
Blood Flow ◽  
Transfer Function ◽  
Renal Blood Flow ◽  
Sympathetic Nerve ◽  
Sympathetic Nerve Activity ◽  
Nerve Activity ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Dynamic Relationship ◽  
Transfer Function Analysis

Blood pressure displays an oscillation at 0.1 Hz in humans that is well established to be due to oscillations in sympathetic nerve activity (SNA). However, the mechanisms that control the strength or frequency of this oscillation are poorly understood. The aim of the present study was to define the dynamic relationship between SNA and the vasculature. The sympathetic nerves to the kidney were electrically stimulated in six pentobarbital-sodium anesthetized rabbits, and the renal blood flow response was recorded. A pseudo-random binary sequence (PRBS) was applied to the renal nerves, which contains equal spectral power at frequencies in the range of interest (<1 Hz). Transfer function analysis revealed a complex system composed of low-pass filter characteristics but also with regions of constant gain. A model was developed that accounted for this relationship composed of a 2 zero/4 pole transfer function. Although the position of the poles and zeros varied among animals, the model structure was consistent. We also found the time delay between the stimulus and the RBF responses to be consistent among animals (mean 672 ± 22 ms). We propose that the identification of the precise relationship between SNA and renal blood flow (RBF) is a fundamental and necessary step toward understanding the interaction between SNA and other physiological mediators of RBF.

scholarly journals Continuously measured renal blood flow does not increase in diabetes if nitric oxide synthesis is blocked

2008 ◽  
Vol 295 (5) ◽  
pp. F1449-F1456 ◽  
Author(s):  
Tracy D. Bell ◽  
Gerald F. DiBona ◽  
Rachel Biemiller ◽  
Michael W. Brands
Keyword(s):  
Nitric Oxide ◽  
Blood Flow ◽  
Renal Blood Flow ◽  
Function Analysis ◽  
Control Period ◽  
Power Spectra ◽  
Tubuloglomerular Feedback ◽  
Left Renal Artery ◽  
Renal Vasculature ◽  
Transfer Function Analysis

This study used 16 h/day measurement of renal blood flow (RBF) and arterial pressure (AP) to determine the role of nitric oxide (NO) in mediating the renal vasodilation caused by onset of type 1 diabetes. The AP and RBF power spectra were used to determine the autoregulatory efficiency of the renal vasculature. Rats were instrumented with artery and vein catheters and a Transonic flow probe on the left renal artery and were divided randomly into four groups: control (C), diabetes (D), control plus nitro-l-arginine methyl ester (l-NAME; CL), and diabetes plus l-NAME (DL). Mean AP averaged 90 ± 1 and 121 ± 1 mmHg in the D and DL groups, respectively, during the control period, and RBF averaged 5.9 ± 1.2 and 5.7 ± 0.7 ml/min, respectively. Respective C and CL groups were not different. Onset of diabetes (streptozotocin 40 mg/kg iv) in D rats increased RBF gradually, but it averaged 55% above control by day 14. In DL rats, on the other hand, RBF remained essentially constant, tracking with RBF in the nondiabetic C and CL groups for the 2-wk period. Diabetes did not change mean AP in any group. Transfer function analysis revealed impaired dynamic autoregulation of RBF overall, including the frequency range of tubuloglomerular feedback (TGF), and l-NAME completely prevented those changes as well. These data strongly support a role for NO in causing renal vasodilation in diabetes and suggest that an effect of NO to blunt RBF autoregulation may play an important role.

scholarly journals Renal nerves dynamically regulate renal blood flow in conscious, healthy rabbits

2016 ◽  
Vol 310 (2) ◽  
pp. R156-R166 ◽  
Author(s):  
Alicia M. Schiller ◽  
Peter R. Pellegrino ◽  
Irving H. Zucker
Keyword(s):  
Blood Flow ◽  
Phase Shift ◽  
Renal Blood Flow ◽  
Renal Denervation ◽  
Function Analysis ◽  
Extracellular Fluid ◽  
Low Frequency ◽  
Renal Nerves ◽  
Physiological Regulation ◽  
Transfer Function Analysis

Despite significant clinical interest in renal denervation as a therapy, the role of the renal nerves in the physiological regulation of renal blood flow (RBF) remains debated. We hypothesized that the renal nerves physiologically regulate beat-to-beat RBF variability (RBFV). This was tested in chronically instrumented, healthy rabbits that underwent either bilateral surgical renal denervation (DDNx) or a sham denervation procedure (INV). Artifact-free segments of RBF and arterial pressure (AP) from calmly resting, conscious rabbits were used to extract RBFV and AP variability for time-domain, frequency-domain, and nonlinear analysis. Whereas steady-state measures of RBF, AP, and heart rate did not statistically differ between groups, DDNx rabbits had greater RBFV than INV rabbits. AP-RBF transfer function analysis showed greater admittance gain in DDNx rabbits than in INV rabbits, particularly in the low-frequency (LF) range where systemic sympathetic vasomotion gives rise to AP oscillations. In the LF range, INV rabbits exhibited a negative AP-RBF phase shift and low coherence, consistent with the presence of an active control system. Neither of these features were present in the LF range of DDNx rabbits, which showed no phase shift and high coherence, consistent with a passive, Ohm's law pressure-flow relationship. Renal denervation did not significantly affect nonlinear RBFV measures of chaos, self-affinity, or complexity, nor did it significantly affect glomerular filtration rate or extracellular fluid volume. Cumulatively, these data suggest that the renal nerves mediate LF renal sympathetic vasomotion, which buffers RBF from LF AP oscillations in conscious, healthy rabbits.

Mechanisms of renal blood flow autoregulation: dynamics and contributions

2007 ◽  
Vol 292 (1) ◽  
pp. R1-R17 ◽  
Author(s):  
Armin Just
Keyword(s):  
Blood Flow ◽  
Renal Blood Flow ◽  
Regulatory Mechanism ◽  
Slow Component ◽  
Tubular Reabsorption ◽  
Tubuloglomerular Feedback ◽  
Ang Ii ◽  
The Third ◽  
Proximal Tubular ◽  
Proximal Tubular Reabsorption

Autoregulation of renal blood flow (RBF) is caused by the myogenic response (MR), tubuloglomerular feedback (TGF), and a third regulatory mechanism that is independent of TGF but slower than MR. The underlying cause of the third regulatory mechanism remains unclear; possibilities include ATP, ANG II, or a slow component of MR. Other mechanisms, which, however, exert their action through modulation of MR and TGF are pressure-dependent change of proximal tubular reabsorption, resetting of RBF and TGF, as well as modulating influences of ANG II and nitric oxide (NO). MR requires < 10 s for completion in the kidney and normally follows first-order kinetics without rate-sensitive components. TGF takes 30–60 s and shows spontaneous oscillations at 0.025–0.033 Hz. The third regulatory component requires 30–60 s; changes in proximal tubular reabsorption develop over 5 min and more slowly for up to 30 min, while RBF and TGF resetting stretch out over 20–60 min. Due to these kinetic differences, the relative contribution of the autoregulatory mechanisms determines the amount and spectrum of pressure fluctuations reaching glomerular and postglomerular capillaries and thereby potentially impinge on filtration, reabsorption, medullary perfusion, and hypertensive renal damage. Under resting conditions, MR contributes ∼50% to overall RBF autoregulation, TGF 35–50%, and the third mechanism < 15%. NO attenuates the strength, speed, and contribution of MR, whereas ANG II does not modify the balance of the autoregulatory mechanisms.

Effect of captopril on fluctuations of blood pressure and renal blood flow in rats

1993 ◽  
Vol 264 (1) ◽  
pp. F37-F44 ◽  
Author(s):  
J. He ◽  
D. J. Marsh
Keyword(s):  
Blood Pressure ◽  
Blood Flow ◽  
Transfer Function ◽  
Renal Blood Flow ◽  
Transfer Functions ◽  
Moving Average ◽  
Mean Value ◽  
Tubuloglomerular Feedback ◽  
Frequency Resolution ◽  
Arterial Blood

Arterial blood pressure and renal blood flow (RBF) fluctuations in rats were studied by autoregressive (AR) and autoregressive-moving average (ARMA) modeling. These estimation procedures provided greater sensitivity and frequency resolution than classic fast Fourier transform (FFT)-based methods and also require shorter observation periods. We estimated the transfer function of RBF autoregulation to test whether inhibition of angiotensin-converting enzyme impairs whole kidney dynamic autoregulation. The transfer function in control animals measured with the ARMA method was similar to transfer functions obtained previously, using FFT methods. Because of better frequency resolution, we also detected an oscillation in RBF at 50 mHz, the same frequency as an oscillation in tubular pressure and glomerular filtration rate that had been attributed to tubuloglomerular feedback (TGF), but that FFT methods had not previously found in whole kidney blood flow. Captopril increased the amplitude of RBF fluctuations and increased the gain of the transfer function at frequencies below 100 mHz, a frequency bandwidth previously associated with TGF. The increased gain indicates that TGF operates less effectively to mediate dynamic autoregulation when angiotensin conversion is inhibited. Gain at frequencies greater than 100 mHz, previously ascribed to the myogenic mechanism, was not affected by captopril. These results show that angiotensin, by modulating TGF, reduces fluctuations of RBF about the mean value.

Tubuloglomerular feedback dynamics and renal blood flow autoregulation in rats

1991 ◽  
Vol 260 (1) ◽  
pp. F53-F68 ◽  
Author(s):  
N. H. Holstein-Rathlou ◽  
A. J. Wagner ◽  
D. J. Marsh
Keyword(s):  
Blood Flow ◽  
Arterial Pressure ◽  
Renal Blood Flow ◽  
Slow Component ◽  
Broad Band ◽  
Experimental Results ◽  
Tubuloglomerular Feedback ◽  
Single Frequency ◽  
Vascular Control ◽  
Arterial Blood

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.

scholarly journals Autoregulation of renal blood flow in the conscious dog and the contribution of the tubuloglomerular feedback

1998 ◽  
Vol 506 (1) ◽  
pp. 275-290 ◽  
Author(s):  
Armin Just ◽  
Uwe Wittmann ◽  
Heimo Ehmke ◽  
Hartmut R. Kirchheim
Keyword(s):  
Blood Flow ◽  
Renal Blood Flow ◽  
Tubuloglomerular Feedback ◽  
Conscious Dog
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