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DƯỢC LÍ Goodman & Gilman's The Pharmacological Basis of Therapeutics 12th, 2010

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48 agonist plus an effective concentration of the antagonist (Figure 3–4A).

As as more antagonist (I) is added, a higher concentration of the agonist

(A) is needed to produce an equivalent response (the half-maximal

or 50%, response is a convenient and accurately determined

level of response).

The extent of the rightward shift of the concentration-dependence

curve is a measure of the affinity of the inhibitor, and a higheraffinity

inhibitor will cause a greater rightward shift than a

lower-affinity inhibitor at the same inhibitor concentration. Using

Equations 3–3 and 3–4, one may write mathematical expressions of

fractional occupancy (f) of the receptor by agonist for the agonist

alone (control) and agonist in the presence of inhibitor.

For the agonist drug (L) alone,

SECTION I

GENERAL PRINCIPLES

For the case of agonist plus antagonist (I),

f

(Equation 3-5)

(Equation 3-6)

Assuming that equal responses result from equal fractional

receptor occupancies in both the absence and presence of antagonist,

one can set the fractional occupancies equal at agonist concentrations

(L and L′) that generate equivalent responses in

Figure 3–4A. Thus,

L

L + K

Simplifying, one gets:

D

f

+ I

=

control

[ L]

=

[ L]

+ K

L′

=

⎛ [] I ⎞

L′ + KD

+

⎜1

K ⎠

L′ [] I − 1 =

L K

(Equation 3-7)

(Equation 3-8)

where all values are known except K i

. Thus, one can determine the

K i

for a reversible, competitive antagonist without knowing the K D

for the agonist and without needing to define the precise relationship

between receptor and response.

PHARMACODYNAMIC VARIABILITY:

INDIVIDUAL AND POPULATION

PHARMACODYNAMICS

Individuals vary in the magnitude of their response to

the same concentration of a single drug or to similar

drugs, and a given individual may not always respond

in the same way to the same drug concentration.

Attempts have been made to define and measure individual

“sensitivity” (or “resistance”) to drugs in the clinical

setting, and progress has been made in understanding

D

[ L]

⎛ [] I ⎞

[ L]

+ KD

+

⎜1

K ⎠

i

i

i

some of the determinants of sensitivity to drugs that act

at specific receptors. Drug responsiveness may change

because of disease or because of previous drug administration.

Receptors are dynamic, and their concentration

and function may be up- or down-regulated by

endogenous and exogenous factors.

Data on the correlation of drug levels with efficacy

and toxicity must be interpreted in the context of

the pharmacodynamic variability in the population (e.g.,

genetics, age, disease, and the presence of co-administered

drugs). The variability in pharmacodynamic response in

the population may be analyzed by constructing a

quantal concentration-effect curve (Figure 3–5A).

The dose of a drug required to produce a specified effect

in 50% of the population is the median effective dose

(ED 50

, Figure 3–5A). In preclinical studies of drugs, the

median lethal dose (LD 50

) is determined in experimental

animals (Figure 3-5B). The LD 50

/ED 50

ratio is an

indication of the therapeutic index, which is a statement

of how selective the drug is in producing its desired

effects versus its adverse effects. A similar term, the

therapeutic window, is the range of steady-state concentrations

of drug that provides therapeutic efficacy with

minimal toxicity (Figure 3–6). In clinical studies, the

dose, or preferably the concentration, of a drug required

to produce toxic effects can be compared with the concentration

required for therapeutic effects in the population

to evaluate the clinical therapeutic index. Since

pharmacodynamic variation in the population may be

marked, the concentration or dose of drug required to

produce a therapeutic effect in most of the population

usually will overlap the concentration required to

produce toxicity in some of the population, even

though the drug’s therapeutic index in an individual

patient may be large. Also, the concentration-percent

curves for efficacy and toxicity need not be parallel,

adding yet another complexity to determination of the

therapeutic index in patients. Finally, no drug produces

a single effect, and the therapeutic index for a drug

will vary depending on the effect being measured.

A clear demonstration of the relation of plasma drug concentration

to efficacy or toxicity is not achievable for many drugs; even

when such a relationship can be determined, it usually predicts only

a probability of efficacy or toxicity. In trials of antidepressant drugs,

such a high proportion of patients respond to placebo that it is difficult

to determine the plasma drug level associated with efficacy.

There is a quantal concentration-response curve for efficacy and

adverse effects (Figure 3–5B); for many drugs, the concentration

that achieves efficacy in all the population may produce adverse

effects in some individuals. Thus, a population therapeutic window

expresses a range of concentrations at which the likelihood of

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