Time-varying properties of renal autoregulatory mechanisms.

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Time-varying properties of renal autoregulatory mechanisms. / Zou, Rui; Cupples, Will A; Yip, K P; Chon, Ki H; Holstein-Rathlou, N.-H.

I: IEEE Transactions on Biomedical Engineering, Bind 49, Nr. 10, 2002, s. 1112-20.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Zou, R, Cupples, WA, Yip, KP, Chon, KH & Holstein-Rathlou, N-H 2002, 'Time-varying properties of renal autoregulatory mechanisms.' IEEE Transactions on Biomedical Engineering, bind 49, nr. 10, s. 1112-20. https://doi.org/10.1109/TBME.2002.803601

APA

Zou, R., Cupples, W. A., Yip, K. P., Chon, K. H., & Holstein-Rathlou, N-H. (2002). Time-varying properties of renal autoregulatory mechanisms. IEEE Transactions on Biomedical Engineering, 49(10), 1112-20. https://doi.org/10.1109/TBME.2002.803601

Vancouver

Zou R, Cupples WA, Yip KP, Chon KH, Holstein-Rathlou N-H. Time-varying properties of renal autoregulatory mechanisms. IEEE Transactions on Biomedical Engineering. 2002;49(10):1112-20. https://doi.org/10.1109/TBME.2002.803601

Author

Zou, Rui ; Cupples, Will A ; Yip, K P ; Chon, Ki H ; Holstein-Rathlou, N.-H. / Time-varying properties of renal autoregulatory mechanisms. I: IEEE Transactions on Biomedical Engineering. 2002 ; Bind 49, Nr. 10. s. 1112-20.

Bibtex

@article{cdc3f860ab6211ddb5e9000ea68e967b,
title = "Time-varying properties of renal autoregulatory mechanisms.",
abstract = "In order to assess the possible time-varying properties of renal autoregulation, time-frequency and time-scaling methods were applied to renal blood flow under broad-band forced arterial blood pressure fluctuations and single-nephron renal blood flow with spontaneous oscillations obtained from normotensive (Sprague-Dawley, Wistar, and Long-Evans) rats, and spontaneously hypertensive rats. Time-frequency analyses of normotensive and hypertensive blood flow data obtained from either the whole kidney or the single-nephron show that indeed both the myogenic and tubuloglomerular feedback (TGF) mechanisms have time-varying characteristics. Furthermore, we utilized the Renyi entropy to measure the complexity of blood-flow dynamics in the time-frequency plane in an effort to discern differences between normotensive and hypertensive recordings. We found a clear difference in Renyi entropy between normotensive and hypertensive blood flow recordings at the whole kidney level for both forced (p < 0.037) and spontaneous arterial pressure fluctuations (p < 0.033), and at the single-nephron level (p < 0.008). Especially at the single-nephron level, the mean Renyi entropy is significantly larger for hypertensive than normotensive rats, suggesting more complex dynamics in the hypertensive condition. To further evaluate whether or not the separation of dynamics between normotensive and hypertensive rats is found in the prescribed frequency ranges of the myogenic and TGF mechanisms, we employed multiresolution wavelet transform. Our analysis revealed that exclusively over scale ranges corresponding to the frequency intervals of the myogenic and TGF mechanisms, the widths of the blood flow wavelet coefficients fall into disjoint sets for normotensive and hypertensive rats. The separation of the scales at the myogenic and TGF frequency ranges is distinct and obtained with 100{\%} accuracy. However, this observation remains valid only for the whole kidney blood pressure/flow data. The results suggest that understanding of the time-varying properties of the two mechanisms is required for a complete description of renal autoregulation.",
author = "Rui Zou and Cupples, {Will A} and Yip, {K P} and Chon, {Ki H} and N.-H. Holstein-Rathlou",
note = "Keywords: Algorithms; Animals; Blood Pressure; Carotid Arteries; Feedback; Fourier Analysis; Homeostasis; Hypertension, Renal; Models, Biological; Nephrons; Rats; Rats, Long-Evans; Rats, Wistar; Renal Circulation; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes; Time Factors",
year = "2002",
doi = "10.1109/TBME.2002.803601",
language = "English",
volume = "49",
pages = "1112--20",
journal = "I E E E Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "Institute of Electrical and Electronics Engineers",
number = "10",

}

RIS

TY - JOUR

T1 - Time-varying properties of renal autoregulatory mechanisms.

AU - Zou, Rui

AU - Cupples, Will A

AU - Yip, K P

AU - Chon, Ki H

AU - Holstein-Rathlou, N.-H.

N1 - Keywords: Algorithms; Animals; Blood Pressure; Carotid Arteries; Feedback; Fourier Analysis; Homeostasis; Hypertension, Renal; Models, Biological; Nephrons; Rats; Rats, Long-Evans; Rats, Wistar; Renal Circulation; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes; Time Factors

PY - 2002

Y1 - 2002

N2 - In order to assess the possible time-varying properties of renal autoregulation, time-frequency and time-scaling methods were applied to renal blood flow under broad-band forced arterial blood pressure fluctuations and single-nephron renal blood flow with spontaneous oscillations obtained from normotensive (Sprague-Dawley, Wistar, and Long-Evans) rats, and spontaneously hypertensive rats. Time-frequency analyses of normotensive and hypertensive blood flow data obtained from either the whole kidney or the single-nephron show that indeed both the myogenic and tubuloglomerular feedback (TGF) mechanisms have time-varying characteristics. Furthermore, we utilized the Renyi entropy to measure the complexity of blood-flow dynamics in the time-frequency plane in an effort to discern differences between normotensive and hypertensive recordings. We found a clear difference in Renyi entropy between normotensive and hypertensive blood flow recordings at the whole kidney level for both forced (p < 0.037) and spontaneous arterial pressure fluctuations (p < 0.033), and at the single-nephron level (p < 0.008). Especially at the single-nephron level, the mean Renyi entropy is significantly larger for hypertensive than normotensive rats, suggesting more complex dynamics in the hypertensive condition. To further evaluate whether or not the separation of dynamics between normotensive and hypertensive rats is found in the prescribed frequency ranges of the myogenic and TGF mechanisms, we employed multiresolution wavelet transform. Our analysis revealed that exclusively over scale ranges corresponding to the frequency intervals of the myogenic and TGF mechanisms, the widths of the blood flow wavelet coefficients fall into disjoint sets for normotensive and hypertensive rats. The separation of the scales at the myogenic and TGF frequency ranges is distinct and obtained with 100% accuracy. However, this observation remains valid only for the whole kidney blood pressure/flow data. The results suggest that understanding of the time-varying properties of the two mechanisms is required for a complete description of renal autoregulation.

AB - In order to assess the possible time-varying properties of renal autoregulation, time-frequency and time-scaling methods were applied to renal blood flow under broad-band forced arterial blood pressure fluctuations and single-nephron renal blood flow with spontaneous oscillations obtained from normotensive (Sprague-Dawley, Wistar, and Long-Evans) rats, and spontaneously hypertensive rats. Time-frequency analyses of normotensive and hypertensive blood flow data obtained from either the whole kidney or the single-nephron show that indeed both the myogenic and tubuloglomerular feedback (TGF) mechanisms have time-varying characteristics. Furthermore, we utilized the Renyi entropy to measure the complexity of blood-flow dynamics in the time-frequency plane in an effort to discern differences between normotensive and hypertensive recordings. We found a clear difference in Renyi entropy between normotensive and hypertensive blood flow recordings at the whole kidney level for both forced (p < 0.037) and spontaneous arterial pressure fluctuations (p < 0.033), and at the single-nephron level (p < 0.008). Especially at the single-nephron level, the mean Renyi entropy is significantly larger for hypertensive than normotensive rats, suggesting more complex dynamics in the hypertensive condition. To further evaluate whether or not the separation of dynamics between normotensive and hypertensive rats is found in the prescribed frequency ranges of the myogenic and TGF mechanisms, we employed multiresolution wavelet transform. Our analysis revealed that exclusively over scale ranges corresponding to the frequency intervals of the myogenic and TGF mechanisms, the widths of the blood flow wavelet coefficients fall into disjoint sets for normotensive and hypertensive rats. The separation of the scales at the myogenic and TGF frequency ranges is distinct and obtained with 100% accuracy. However, this observation remains valid only for the whole kidney blood pressure/flow data. The results suggest that understanding of the time-varying properties of the two mechanisms is required for a complete description of renal autoregulation.

U2 - 10.1109/TBME.2002.803601

DO - 10.1109/TBME.2002.803601

M3 - Journal article

VL - 49

SP - 1112

EP - 1120

JO - I E E E Transactions on Biomedical Engineering

JF - I E E E Transactions on Biomedical Engineering

SN - 0018-9294

IS - 10

ER -

ID: 8420348