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Am J Physiol Renal Physiol 290: F720-F732, 2006. First published October 11, 2005; doi:10.1152/ajprenal.00205.2005
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Interactions between TGF-dependent and myogenic oscillations in tubular pressure and whole kidney blood flow in both SDR and SHR

Ramakrishna Raghavan,1 Xinnian Chen,1 Kay-Pong Yip,2 Donald J. Marsh,3 and Ki H. Chon1

1Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York; 2Department of Physiology and Biophysics, University South Florida, Tampa, Florida; and 3Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, Rhode Island

Submitted 18 May 2005 ; accepted in final form 4 October 2005

We previously showed that nonlinear interactions between the two renal autoregulatory mechanics (tubuloglomerular feedback and the myogenic mechanism) were observed in the stop flow pressure (SFP) and whole kidney blood flow data from Sprague-Dawley rats (SDR) using time-invariant bispectrum analysis (3, 4). No such nonlinear interactions were observed in either SFP or whole kidney blood flow data obtained from spontaneously hypertensive rats (SHR). We speculated that the failure to detect nonlinear interactions in the SHR data may be related to our observation that these interactions were not continuous and therefore had time-varying characteristics. Thus the absence of such nonlinear interactions may be due to an inappropriate time-invariant method being applied to data that are especially time varying in nature. We examine this possibility in this paper by using a time-varying bispectrum approach, which we developed for this purpose. Indeed, we found significant nonlinear interactions in SHR (n = 18 for SFP; n = 12 for whole kidney blood flow). Moreover, the duration of nonlinear coupling is found statistically to be longer (P = 0.001) in SFP data from either SDR or SHR than it is in whole kidney data from either type of rat. We conclude that nonlinear coupling is present at both the single nephron as well as the whole kidney level for SDR and SHR. In addition, SHR data at the whole kidney level exhibit the most transient nonlinear coupling phenomena.

time-varying bispectrum; nonlinear interactions; tubuloglomerular feedback; phase coupling


Address for reprint requests and other correspondence: K. H. Chon, Dept. of Biomedical Engineering, SUNY at Stony Brook, HSC T18, Rm. 030, Stony Brook, NY 11794-8181 (e-mail: ki.chon{at}sunysb.edu)




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