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在盐敏感大鼠(SDR)和自发性高血压大鼠(SHR)中,肾小管压力和全肾血流量中转化生长因子(TGF)依赖性与肌源性振荡之间的相互作用。

Interactions between TGF-dependent and myogenic oscillations in tubular pressure and whole kidney blood flow in both SDR and SHR.

作者信息

Raghavan Ramakrishna, Chen Xinnian, Yip Kay-Pong, Marsh Donald J, Chon Ki H

机构信息

Dept. of Biomedical Engineering, State University of New York at Stony Brook, HSC T18, Rm. 030, Stony Brook, NY 11794-8181, USA.

出版信息

Am J Physiol Renal Physiol. 2006 Mar;290(3):F720-32. doi: 10.1152/ajprenal.00205.2005. Epub 2005 Oct 11.

DOI:10.1152/ajprenal.00205.2005
PMID:16219915
Abstract

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.

摘要

我们之前的研究表明,使用时不变双谱分析方法,在来自Sprague-Dawley大鼠(SDR)的停流压力(SFP)和全肾血流数据中观察到了两种肾自动调节机制(肾小管-肾小球反馈和肌源性机制)之间的非线性相互作用(3,4)。而在自发性高血压大鼠(SHR)的SFP或全肾血流数据中均未观察到此类非线性相互作用。我们推测,在SHR数据中未能检测到非线性相互作用,可能与我们观察到这些相互作用并非连续且具有时变特性有关。因此,此类非线性相互作用的缺失,可能是由于将一种不恰当的时不变方法应用于本质上具有特别时变特性的数据所致。在本文中,我们通过使用一种为此目的而开发的时变双谱方法来检验这种可能性。实际上,我们在SHR中发现了显著的非线性相互作用(SFP数据中n = 18;全肾血流数据中n = 12)。此外,统计发现,无论是SDR还是SHR的SFP数据中,非线性耦合的持续时间都比两种大鼠的全肾数据中的持续时间更长(P = 0.001)。我们得出结论,对于SDR和SHR,在单个肾单位以及全肾水平均存在非线性耦合。此外,全肾水平的SHR数据表现出最短暂的非线性耦合现象。

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