Receptor theory


 * 1) redirectreceptors for many years. Langley and Ehrlich introduced the concept of a receptor that would mediate drug action at the beginning of the 20th century. Clark was the first to quantify drug induced biological responses and propose a model to explain drug mediated receptor activation. Together with Gaddum, Clark was the first to introduce the log concentration–effect curve.

The receptor concept
In 1901 Langley challenged the dominant hypothesis that drugs act at nerve endings by demonstrating that nicotine acted at sympathetic ganglia even after the degeneration of the severed preganglionic nerve endings. In 1905 he introduced the concept of a receptive substance on the surface of skeletal muscle that mediated the action of a drug. It also postulated that these receptive substances were different in different species (citing the fact that nicotine induced muscle paralysis in mammals was absent in crayfish). Around the same time Ehrlich was trying to understand the basis of selectivity of agents. He theoreticised that selectivity was the basis of a preferential distribution of lead and dyes in different body tissues. However, he later modified the theory in order to explain immune reactions and the selectivity of the immune response. Thinking that selectivity was derived from interaction with the tissues themselves Ehrlich envisaged molecules extending from cells that the body could use to distinguish and mount an immune response to foreign objects. However it was only when Ahlquist showed the differential action of adrenaline demonstrating its effects on two distinct receptor populations did the theory of receptor-mediated drug interactions gain acceptance.

Receptor occupancy model
The receptor occupancy model which describe agonist and competitive antagonists were built on the work of Langley, Hill and Clark. The occupancy model was the first model put forward by Clark to explain the activity of drugs at receptors quantified the relationship between drug concentration and observed effect. It is based on mass-action kinetics and attempts to link the action of a drug the proportion of receptors occupied by that drug at equilibrium. In particular that the magnitude of the response is directly proportional to the amount of drug bound and that the maximum response would be elicited once all receptors were occupied at equilibrium. He applied mathematical approaches used in enzyme kinetics systematically to the effects of chemicals on tissues. He showed that for many drugs the relationship between drug concentration and biological effect corresponded to a hyperbolic curve, similar to that representing the adsorption of a gas onto a metal surface and fitted the Hill–Langmuir equation. Clark, together with Gaddum, was the first to introduce the the log concentration–effect curve and described the now-familiar 'parallel shift' of the log concentration–effect curve produced by a competitive antagonist. Attempts to separate the binding phenomenon and activation phenomenon were made by Ariens in 1954 and by Stephenson in 1956 to account for the intrinsic activity (efficacy) of a drug (that is, its ability to induce an effect after binding).

Competitive inhibition models
The development of the classic theory of drug antagonism by Gaddum, Schild and Arunlakshana built on the work of Langley, Hill and Clark. Gaddum described a model for the competitive binding of two ligands to the same receptor in short communication to the Physiological Society in 1937. The description referred only to binding, it was not immediately useful for the analysis of experimental measurements of the effects of antagonists on the response to agonists. It was Schild who made measurement of the equilibrium constant for the binding of an antagonist possible he developed the Schild equation to determine a dose ratio a measure of the potency of a drug. In Schild regression the change in the dose ratio, the ratio of the EC50 of an agonist alone compared to the EC50 in the presence of a competitive antagonist as determined on a dose response curve used to determine the affinity of an antagonist for its receptor.

Agonist models
The flaw in Clarks receptor-occupancy model was that it was insufficient to explain the concept of partial agonist lead to the development of agonist models of drug action by Ariens in 1954 and by Stephenson in 1956 to account for the intrinsic activity (efficacy) of a drug (that is, its ability to induce an effect after binding).

Two state receptor theory
The two-state model of receptor activation described by Black and Leff in 1983 is an alternative model of receptor activation. It proposes that ligand binding results in a change in receptor state from an inactive state to an active one. In this model agonists and inverse agonists are thought to have affinity for different receptor states. or can induce a conformational change to the a different receptor state. Whereas antagonists have no preference in their affinity for a receptor state.

Although it is seductive to assume that the proportional amount of an active receptor state should correlate with the biological response, the experimental evidence for receptor overexpression and spare receptors suggests that the calculation of the net change in the active receptor state is a much better measure for response than is the fractional or proportional change. This is demonstrated by the effects of agonist/ antagonist combinations on the desensitization of receptors. This is also demonstrated by receptors that are activated by overexpression since this requires a change between R and R* that is difficult to understand in terms of a proportional rather than a net change -see links:, and for the molecular model that fits with the mathematical model.

Postulates of receptor theory

 * Receptors must possess structural and steric specificity.
 * Receptors are saturable and finite (limited number of binding sites)
 * Receptors must possess high affinity for its endogenous ligand at physiological concentrations
 * Once the endogenous ligand binds to the receptor, some early recognizable chemical event must occur