Abstract

Renal autoregulation of arterial blood pressure requires maintenance of plasma and extracellular fluid volumes. Two mechanisms are thought to be involved in renal autoregulation: the tubuloglomerular feedback (TGF) and a vascular myogenic mechanism. The objective of this project has been to characterize the nonlinear dynamics and the interactions of these autoregulation mechanisms by using induced broadband perturbations of arterial blood pressure and analyzing the resulting blood flow data with nonlinear modeling methodologies. Using the novel methodologies developed in Core Project #1, we were able to quantify the nonlinear dynamics and the interactions between the two regulatory mechanisms (myogenic and TGF). Comparisons of nonlinear models of renal blood pressure and flow data obtained for normotensive rats and spontaneously hypertensive rats show unambiguously that the relative effect of the TGF mechanism is diminished in hypertensive rats and for high-level of forcing. This finding advances our understanding of hypertension and may lead to more effective clinical treatments.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001861-16
Application #
6339180
Study Section
Project Start
2000-09-01
Project End
2001-08-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
16
Fiscal Year
2000
Total Cost
Indirect Cost

  Institution

Name
University of Southern California
Department
Type
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90033

  Publications

Song, Dong; Wang, Haonan; Tu, Catherine Y et al. (2013) Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. J Comput Neurosci 35:335-57
Hoppenbrouwers, Toke; Oliveira, Flavia; Sandarupa, Stanislaus et al. (2012) The development of the circadian heart rate rhythm (CHR) in Asian infants. Early Hum Dev 88:555-61
Wang, Xiaoning; Schumitzky, Alan; D'Argenio, David Z (2007) Nonlinear Random Effects Mixture Models: Maximum Likelihood Estimation via the EM Algorithm. Comput Stat Data Anal 51:6614-6623
Gholmieh, Ghassan; Courellis, Spiros; Marmarelis, Vasilis et al. (2007) Nonlinear dynamic model of CA1 short-term plasticity using random impulse train stimulation. Ann Biomed Eng 35:847-57
Gholmieh, Ghassan; Courellis, Spiros; Dimoka, Angelika et al. (2004) An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings. J Neurosci Methods 136:111-21
Ashjian, Peter; Elbarbary, Amir; Zuk, Patricia et al. (2004) Noninvasive in situ evaluation of osteogenic differentiation by time-resolved laser-induced fluorescence spectroscopy. Tissue Eng 10:411-20
Blasi, Anna; Jo, Javier; Valladares, Edwin et al. (2003) Cardiovascular variability after arousal from sleep: time-varying spectral analysis. J Appl Physiol 95:1394-404
Jo, Javier A; Blasi, Anna; Valladares, Edwin et al. (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome during sleep. Am J Respir Crit Care Med 167:128-36
Belozeroff, Vasily; Berry, Richard B; Khoo, Michael C K (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome. Sleep 26:65-73
Bading, James R; Yoo, Paul B; Fissekis, John D et al. (2003) Kinetic modeling of 5-fluorouracil anabolism in colorectal adenocarcinoma: a positron emission tomography study in rats. Cancer Res 63:3667-74

Showing the most recent 10 out of 84 publications