Differences in dynamic autoregulation of renal blood flow between SHR and WKY rats

Yu Ming Chen*, Niels Henrik Holstein-Rathlou

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

37 Scopus citations

Abstract

In halothane-anes thetized Wistar-Kyoto (WKY) rats the single-nephron blood flow and the proximal tubule pressure oscillate at a frequency of 35-50 mHz because of the operation of the tubuloglomerular feedback (TGF) mechanism. In spontaneously hypertensive rats (SHR) the oscillations are replaced by chaotic fluctuations. We sought to determine whether this change was associated with a change in the dynamic autoregulation of renal blood flow. In halothane-anesthetized 250- to 320-g SHR and WKY rats, renal blood flow was measured during "white noise" forcing of arterial blood pressure. The frequency response of renal vascular admittance was estimated by the method of autoregressive-moving averages. In the frequency band below 60-70 mHz there was a significant difference in the transfer functions between the two strains of rats. This was due mainly to an increased phase difference, but also to a decreased magnitude of the admittance in SHR at frequencies below 20-30 mHz. Above 70 mHz there was no significant difference in the transfer functions. Because TGF is active in the low frequency band (below ~100 mHz), whereas the myogenic mechanism also acts in the higher frequency band, we conclude that the change in the dynamics of TGF leads to a change in the dynamic autoregulation of renal blood flow between SHR and WKY rats. This change results in a more efficient dynamic autoregulation of renal blood flow in the SHR compared with the WKY rats. The functional consequences of this, in terms of the regulation of salt and water excretion, are not presently known.

Original languageEnglish
Pages (from-to)F166-F174
JournalAmerican Journal of Physiology - Renal Fluid and Electrolyte Physiology
Volume264
Issue number1 33-1
StatePublished - 1993
Externally publishedYes

Keywords

  • Autoregressive-moving averages models
  • Dynamic systems
  • Halothane
  • Hypertension
  • Mathematical modeling
  • Systems analysis
  • Tubuloglomerular feedback

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