Mathematical model indicates nonlinearity of noradrenaline effect on rat renal artery
Language English Country Czech Republic Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
17949245
DOI
10.33549/physiolres.931199
PII: 1199
Knihovny.cz E-resources
- MeSH
- Renal Artery drug effects MeSH
- Time Factors MeSH
- Rats MeSH
- Models, Cardiovascular * MeSH
- Nonlinear Dynamics * MeSH
- Norepinephrine pharmacology MeSH
- Computer Simulation MeSH
- Rats, Wistar MeSH
- Vasoconstriction drug effects MeSH
- Vasoconstrictor Agents pharmacology MeSH
- Dose-Response Relationship, Drug MeSH
- Animals MeSH
- Check Tag
- Rats MeSH
- Male MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Norepinephrine MeSH
- Vasoconstrictor Agents MeSH
The aim of this work is to present the efficacy of a previously introduced computational procedure, developed for evaluation of vascular responsiveness. On this reason, as an example a common study of noradrenaline (NA) effect on a rat renal artery under in vitro conditions was arbitrarily selected. The response of the arterial segment to NA doses (0.1-10 microg) was digitally recorded on a PC and employed to develop mathematical model of NA effect. Using the model, the following NA effect variables were determined: the vessel sensitivity parameter, mean effect time and rate constant, respectively, characterizing the effect intensity, duration, and regression and also classic response variables: the maximal effect and time of the maximal effect. The two-way analysis of variance followed by Bonferroni's test revealed a significant influence of the increasing NA dose on the vessel sensitivity parameter and mean effect time. These findings indicated nonlinearity of processes underlying NA effect on the rat renal artery over the given range of NA doses. The procedure exemplified has the potential for use as an effective adjunct to routine studies of vascular responsiveness as it enables the extraction of meaningful information which cannot by obtained by common manual evaluation procedures.
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