Document Detail

Interactions between TGF-dependent and myogenic oscillations in tubular pressure and whole kidney blood flow in both SDR and SHR.
MedLine Citation:
PMID:  16219915     Owner:  NLM     Status:  MEDLINE    
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.
Ramakrishna Raghavan; Xinnian Chen; Kay-Pong Yip; Donald J Marsh; Ki H Chon
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2005-10-11
Journal Detail:
Title:  American journal of physiology. Renal physiology     Volume:  290     ISSN:  1931-857X     ISO Abbreviation:  Am. J. Physiol. Renal Physiol.     Publication Date:  2006 Mar 
Date Detail:
Created Date:  2006-02-07     Completed Date:  2006-04-10     Revised Date:  2011-04-28    
Medline Journal Info:
Nlm Unique ID:  100901990     Medline TA:  Am J Physiol Renal Physiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  F720-32     Citation Subset:  IM    
Dept. of Biomedical Engineering, State University of New York at Stony Brook, HSC T18, Rm. 030, Stony Brook, NY 11794-8181, USA.
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MeSH Terms
Computer Simulation
Kidney / blood supply*
Kidney Tubules / physiology*,  physiopathology
Models, Biological
Rats, Inbred SHR / physiology*
Rats, Sprague-Dawley / physiology*
Renal Circulation / physiology*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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