Literature DB >> 17229679

Assessment of renal autoregulation.

William A Cupples1, Branko Braam.   

Abstract

The kidney displays highly efficient autoregulation so that under steady-state conditions renal blood flow (RBF) is independent of blood pressure over a wide range of pressure. Autoregulation occurs in the preglomerular microcirculation and is mediated by two, perhaps three, mechanisms. The faster myogenic mechanism and the slower tubuloglomerular feedback contribute both directly and interactively to autoregulation of RBF and of glomerular capillary pressure. Multiple experiments have been used to study autoregulation and can be considered as variants of two basic designs. The first measures RBF after multiple stepwise changes in renal perfusion pressure to assess how a biological condition or experimental maneuver affects the overall pressure-flow relationship. The second uses time-series analysis to better understand the operation of multiple controllers operating in parallel on the same vascular smooth muscle. There are conceptual and experimental limitations to all current experimental designs so that no one design adequately describes autoregulation. In particular, it is clear that the efficiency of autoregulation varies with time and that most current techniques do not adequately address this issue. Also, the time-varying and nonadditive interaction between the myogenic mechanism and tubuloglomerular feedback underscores the difficulty of dissecting their contributions to autoregulation. We consider the modulation of autoregulation by nitric oxide and use it to illustrate the necessity for multiple experimental designs, often applied iteratively.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17229679     DOI: 10.1152/ajprenal.00194.2006

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


  66 in total

1.  Signal transduction in a compliant thick ascending limb.

Authors:  Anita T Layton; Leon C Moore; Harold E Layton
Journal:  Am J Physiol Renal Physiol       Date:  2012-01-18

Review 2.  Connexins and the kidney.

Authors:  Fiona Hanner; Charlotte Mehlin Sorensen; Niels-Henrik Holstein-Rathlou; János Peti-Peterdi
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-02-17       Impact factor: 3.619

3.  Renal nerves dynamically regulate renal blood flow in conscious, healthy rabbits.

Authors:  Alicia M Schiller; Peter R Pellegrino; Irving H Zucker
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-11-04       Impact factor: 3.619

Review 4.  Pharmacological targets in the renal peritubular microenvironment: implications for therapy for sepsis-induced acute kidney injury.

Authors:  Philip R Mayeux; Lee Ann MacMillan-Crow
Journal:  Pharmacol Ther       Date:  2012-01-16       Impact factor: 12.310

Review 5.  Renal autoregulation in health and disease.

Authors:  Mattias Carlström; Christopher S Wilcox; William J Arendshorst
Journal:  Physiol Rev       Date:  2015-04       Impact factor: 37.312

Review 6.  Purinergic signalling in the kidney in health and disease.

Authors:  Geoffrey Burnstock; Louise C Evans; Matthew A Bailey
Journal:  Purinergic Signal       Date:  2013-11-22       Impact factor: 3.765

7.  Renal blood flow and dynamic autoregulation in conscious mice.

Authors:  Radu Iliescu; Radu Cazan; Gerald R McLemore; Marcia Venegas-Pont; Michael J Ryan
Journal:  Am J Physiol Renal Physiol       Date:  2008-06-25

Review 8.  Recent advances in renal hemodynamics: insights from bench experiments and computer simulations.

Authors:  Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2015-02-25

9.  Mathematical modeling of renal hemodynamics in physiology and pathophysiology.

Authors:  Ioannis Sgouralis; Anita T Layton
Journal:  Math Biosci       Date:  2015-03-09       Impact factor: 2.144

10.  Telemetric signal-driven servocontrol of renal perfusion pressure in acute and chronic rat experiments.

Authors:  Min Xia; Pin-Lan Li; Ningjun Li
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-09-24       Impact factor: 3.619

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.