Biological Cybernetics

, Volume 56, Issue 5–6, pp 419–429 | Cite as

Endogenous agonists may change the concentration-response curves of exogenous agonists: Source of quantitative information about the endogenous tone

  • T. J. Feuerstein
  • J. Bammert
  • D. K. Meyer
Article

Abstract

The “pharmacological dogma” that competitive antagonists cause parallel shifts to the right with sustained maximum effect of semi-logarithmic concentration-response curves of exogenous agonists may not be true if an endogenous agonist is present in the preparation. In this case, the antagonist and the exogenous agonist interfere in a complex way with an existing circuit of regulation between the response and the endogenous agonist. In consequence, it is difficult to determine the true shift in the concentration-response curves as induced by the antagonist, since a deviation of the curves in a non-parallel manner can be observed. The extent of this deviation may be used to learn more about the variables involved.

The present paper discusses this phenomenon: The regulatory circuit of the (auto)receptor modulated release of neutrotransmitters is used as an example. Paired samples of data are analysed in this example. Since the extent of the non-parallel deviation also depends on the manner in which the paired samples are mathematically linked, two different ways of data evaluation have been used. A theoretical model of the relation between receptor activation and response is proposed which allows to evaluate experimental concentration-response curves by means of non-linear regression analysis. This evaluation yields quantitative information on the parameters of the regulatory circuit: the concentration of the endogenous agonist, itsKD value and the true shift of the concentration-response curve caused by the applied antagonist.

Keywords

Regression Analysis Theoretical Model Data Evaluation Receptor Activation Paired Sample 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1987

Authors and Affiliations

  • T. J. Feuerstein
    • 1
  • J. Bammert
    • 2
  • D. K. Meyer
    • 3
  1. 1.Neurologische UniversitätsklinikFreiburgGermany
  2. 2.GottenheimGermany
  3. 3.Institut für Pharmakologie und Toxikologie der Universität FreiburgFreiburgGermany

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