Drug Concentration and Therapeutic Response
Development Team
Principal Investigator Prof. Farhan J Ahmad Jamia Hamdard, New Delhi
Paper Coordinator Dr. Javed Ali Jamia Hamdard, New Delhi
Dr. Shadab Md. School of Pharmacy, Content Writer International Medical University (IMU), Kuala Lumpur, Malaysia
Dr. Sonal Gupta, KL Mehta Dayanand college, Content Reviewer Faridabad
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 0
Drug Concentration and Therapeutic Response Drug Concentration and Therapeutic Response
Content
1. Introduction
2. Dose/Concentration response relationship
3. Types of dose and response relationship
3.1. Potency
3.2. Efficacy
3.3. Selectivity
3.4. Affinity
4. Therapeutic Window
4.1. Therapeutic Index
5. The relationship between drug concentration and pharmacological effects in the whole
animal/human
6. Pharmacodynamic model
7. Onset and Duration of Action
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 1
Drug Concentration and Therapeutic Response I. Introduction
To produce therapeutic/beneficial effect or minor, major, serious and severe toxic effects, drugs
interact with receptors, ion channels, membrane carriers or enzymes in the body; this is called
pharmacodynamics action of drug. The drug-receptor interactions usually occur in the tissue
which is in equilibrium with the unbound drug (not bound to the plasma protein) present in the
plasma. Drugs bind and interact in a structurally specific manner with these protein receptors.
Activation of receptors in response to drug binding leads to activation of a second messenger
system, resulting in a physiological or biochemical response such as changes in intracellular
calcium concentrations leading to muscle contraction or relaxation. There are four main types of
receptor families
i. Ligand-gated ion channels
ii. G-protein-coupled receptors (GPCRs)
iii. Enzyme-linked receptors
iv. Intracellular receptors.
The most common receptors that are targets for drugs are the GPCRs; these are transmembrane
receptors linked to guanosine triphosphate binding proteins (G proteins) which activate second
messenger systems such as adenylyl cyclase (activated by, for example, β-adrenoceptors) or the
inositol triphosphate pathway (activated by, for example, α-adrenoceptors). A drug which binds
to a receptor having affinity, intrinsic activity and produces a maximum effect is called a full
agonist. A drug which binds to receptor, produces intermediate efficacy and produces
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 2
Drug Concentration and Therapeutic Response submaximal response is called as partial agonist. Partial agonists produce a therapeutic effect if
no agonist is present, but can act as antagonists in the presence of a full agonist. Pindolol (β
blocking agent) is a partial agonist, produces a smaller decrease in heart rate than that produced
by pure antagonists such as propranolol. Drugs which bind to receptor but do not have intrinsic
activity and have zero efficacy is called antagonist. Antagonists produce their effects by
counteracting the access of the natural transmitter (agonist) to the same receptor such as atropine
(Antagonist) vs acetylcholine (agonist) on muscarinic receptor. An inverse agonist is a molecule
that binds to the same site as an agonist but produce an opposite response (negative efficacy).
Currently there are several drugs such as haloperidol, chlorpromazine that have inverse agonist
activity at dopamine and serotonin receptors are used clinically.
Antagonists comprises of mainly two subcategories competitive and noncompetitive.
Competitive antagonists involve competition between antagonist and agonist and bind reversibly
to the same receptor site. Antagonist inhibitory effects for the same receptor can be overcome by
addition of a higher concentration of agonist. In the presence of competitive antagonist higher
agonist concentrations are needed to produce the same effect as in absence of antagonist. The
presence of a competitive antagonist causes a rightward shift of the dose response curve of the
agonist. The majority of clinically used drugs act as receptor antagonists are reversible
competitive antagonists. Agonist (Isoproterenol) and the antagonist (Propranolol) are good
example of competitive antagonist. Noncompetitive antagonists can bind irreversibly by covalent
bonds for the same receptor site as the agonist or bind to a different site of same receptor which
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 3
Drug Concentration and Therapeutic Response reduces the binding capability of the agonist by an allosteric mechanism. Due to irreversible
strong binding to receptor site, the effect of a noncompetitive antagonist cannot be reversed even
at high concentration of agonist, because the law of mass action does not apply. The primary
effect of noncompetitive antagonist causes rightward shift of dose response curve and reduction
in the maximal effect produced by the agonist.
There are three other types of drug antagonism. Physiologic antagonism involves when one
drugs antagonises the action of other drug by acting on different receptors and mechanism.
Example: Acetylcholine (vasodilation) and norepinephrine (vasoconstriction) Chemical
antagonism involves when a one drug antagonises another drug by chemical interaction and
leads to a reduced response. Example: Interaction of positively charged drug protamine sulfate
which neutralises the effect of negatively charged drug heparin. Pharmacokinetic antagonism
occur when one drug suppressing or accelerating the effect of a second drug by change in
pharmacokinetics of drug such as increase/decrease in absorption, distribution, metabolism and
elimination. e.g. phenobarbital increases the metabolic degradation of anticoagulant warfarin.
Selectivity in drug action is associated to the structural specificity of drug binding to receptors.
Propranolol binds equally well to β1 and β2 adrenergic receptor, whereas metoprolol and atenolol
bind selectively antagonist at β1- adrenergic receptor. Salbutamol is a selective β2-adrenergic
receptor agonist and in this case, additional selectivity is achieved by inhaling the drug directly
to its site of action in the lungs.
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 4
Drug Concentration and Therapeutic Response II. Dose/Concentration response relationship
Regardless of how a drug effect occurs through binding or chemical interaction, the
concentration of the drug at the site of action controls the effect. However, the relationship
between response and concentration may be complex and is often nonlinear. Generally, when
discussing the drug action at the tissue level, we refer to drug ‘concentration’, while when
referring to drug action in the whole animal/person, we refer to the drug ‘dose’. When a drug is
administered to an animal or human, the relationship between the drug dose, regardless of route
used, and the drug concentration at the cellular level is even more complex.
The concept of the dose-response curve, or concentration-response curve is one of the most
important parts of pharmacology. A dose-response curve describes the relationship between an
effect of a drug and the amount of drug given. Dose-response curves are essential to understand
the drug's safe and hazardous levels, so that the therapeutic index can be determined and dosing
guidelines can be created.
Dose-response curves are charted on an X-Y axis, with the drug dosage measured (usually in
milligrams, micrograms, or grams per kilogram of body-weight for oral exposures or milligrams
per cubic meter of ambient air for inhalation exposures) typically on the X axis and the response
to the medication typically on the Y-axis. When considering responses at the tissue level, the
quantity of drug is expressed as its concentration, usually expressed as a molar concentration,
although where the molecular weight is unknown we would express the concentration as
microgram/nanogram/ ml as appropriate. As the relationship between response and increasing
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 5
Drug Concentration and Therapeutic Response dose or concentration is best described by a logarithmic plot, dose-response curves (or
concentration-response curves) are graphed with the dose or concentration on a logarithmic scale
(X axis) as opposed to a linear scale; in such cases the curve is typically sigmoidal, with the
steepest portion in the middle (This is discussed in more detail in the final section of this module
see material under ‘The relationship between drug concentration and pharmacological effects in
the whole animal/human’)
When evaluating a dose-response curve (or concentration-response curve), one of the main
characteristics is a graded relationship between the response and the dose or concentration; this
means that as the amount of drug given is increased so is the response to the drug. There are
three phases of a dose-response curve (or concentration-response curve). First, the curve is flat as
the quantity of drug given is not sufficiently great to initiate a response. The first point along the
graph where a response above zero (or above the control response) is reached is usually referred
to as a threshold-dose. In the second phase, the curve steadily rises, with each increase in the
drug dose there is also an increased in response. At higher doses, undesired side effects appear
and grow stronger as the dose increases. The more potent a particular substance, the lower the
concentration or dose required to produce an effect. Finally, the curve plateaus at the top,
indicating that any further increases in drug dose will not produce any further increase response
to the drug (Figure 1). This grading of the dose response curve enables your healthcare provider
to tailor their prescription to the individual taking the drug.
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Drug Concentration and Therapeutic Response
Figure 1. Relationship of drug concentration to percentage effect on linear scale and log scale. (EC50 value: Concentration which produces 50% of the drug maximum response)
3. Types of dose and response relationship
A fixed dose administered to a range of individuals will produce a range of concentration
measurements due to pharmacokinetic variability among individuals. These concentrations will
also change over time. In addition to this a range of responses can be determined, both
therapeutic response and toxic effect. It is therefore common to consider concentration-effect
relationships rather than dose-response relationships. The concentration-response relationships
are of two type graded and quantal. A graded concentration response curve are plotted for
responses such as contraction of muscle are determined on a continuous scale. Graded response
curves relate the size of the dose to the intensity of response and hence used in characterizing the
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Drug Concentration and Therapeutic Response actions of drugs. Therefore, the percentage of the group responding to increasing doses is
plotted, a sigmoidal dose-response or graded response curve is constructed. On the other hand,
when a drug is administered to the whole animal, certain types of responses may be all or none.
For example, before immunoassays were developed, the potency of insulin was determined by
administration to mice, where it caused convulsions due to a large reduction in the blood
glucose; in this case, convulsions either occurred or did not occur – this is termed a quantal
response and the relationship is defined as the percentage of animals showing the response and
the dose of the drug. The doses required to produce a specified quantal effect in an individual
population or experimental animals are log normally distributed. The cumulative frequency
distribution of such responses plotted against the log dose produces a gaussian curve.
Equilibrium dissociation constant (KD) are determined experimentally and is measured the
affinity of a drug for a receptor. The equilibrium dissociation constant of the receptor drug
complex, KD, is the ratio of rate constants for the reverse reaction (K2) and forward (k1)
reaction between the drug and receptor and the drug receptor complex. The concentration of a
drug at which receptor occupancy is half of maximum effect. Drugs with a low KD have high
affinity dissociate slowly from receptors. Drugs with a high KD having low affinity dissociate
rapidly from receptors.
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 8
Drug Concentration and Therapeutic Response 3.1. Potency
Potency refers to the amount of drug rrequired to produce a certain response. A drug which
produces a certain effect at 5 mg dosage is ten times more potent than a drug which produces the
same effect at 50 mg dosage. In other words, potency defines as the dose (ED50) or
concentration (EC50) of a drug required to produce 50% of the drugs maximum effect. Relative
potency is more important than absolute potency. EC50 or ED50 value are used to evaluate the
comparing the differences in drug potency. EC50 equals KD when there is a linear relationship
exist between response and receptor occupancy. Often, signal amplification occurs between
response and receptor occupancy which causes EC50 for response being much less (ie,
positioned to the left on the x -axis of the log dose response curve) than KD for receptor
occupancy.
Potency depends on both the efficiency with which drug receptor interaction is coupled to
response and affinity of a drug for its receptor. Potency is inversely related to the dose of drug
required to produce a therapeutic effect. Potency of drug is important in selecting dose of a drug.
Graded dose response curves provide information on the potency of drugs that is different from
the information derived from quantal dose response curves. In a quantal dose response
relationship, the ED50 is the dose at which 50% of individuals exhibit the specified quantal
effect.
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Drug Concentration and Therapeutic Response
Figure 2. Graphical representation of the dose-response curves for a number of drugs (A, B, C and D) differ in their potency but have the same efficacy. In this figure drug A is more potent than drug B, C and D.
3.2. Efficacy
Efficacy or intrinsic activity is the ability of the drug to produce a maximal response when it
binds to the receptor. Conformational changes in receptors because of drug occupancy activate
physiologic events and biochemical that characterize the drug response. In some tissues, agonists
demonstrating high efficacy even when only a small portion of the receptors is occupied.
Difference in drug efficacy can be evaluated by looking at maximal response produced by
different drug. Agonists can also differ in terms of their efficacy. Figure 3 represent four agonists
that differ in their relative efficacy but have same potency. Drug A is the most efficacious, and
Drug D the least efficacious. Drugs B and C that bind to a receptor, but produce less than
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 10
Drug Concentration and Therapeutic Response maximal response are called partial agonists. Figure 4 showed Drug X has greater efficacy per
dosing equivalent and is thus more potent than drug Y or Z. Drugs X and Z have equal efficacy,
indicated by their maximal response (ceiling effect). Drug Y is more potent than drug Z, but its
maximal efficacy is lower.
Figure 3. Graphical representation of dose-response curve for four agonists that differ in efficacy but have same potency. In this figure, Drug A is more efficacious than drug B, C and D.
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 11
Drug Concentration and Therapeutic Response
Figure 4. Showed comparison of dose-response curves in relation to potency and efficacy
3.3. Selectivity refers to a drug’s ability to preferentially produce a particular effect and is
associated to the structural specificity of drug binding to receptors site. Selectivity of drug action
relates to the number of different mechanisms involved. Examples of selective drugs include
cimetidine (an H2-receptor antagonist), atropine (a muscarinic receptor antagonist) and
salbutamol (a β2-adrenoceptor agonist). Cyclooxygenase-2 (COX-2) preferential NSAIDs
demonstrate partial specificity for COX-2, the inducible enzyme formed at sites of inflammation.
By comparison, COX-2 selective NSAIDs are without significant effect on COX-1, the
constitutive enzyme that performs a range of physiologic functions. Nonselective drugs result in
drug effects through several mechanisms of action. For example, chlorpromazine causes
blockade of D2-dopamine receptors, α-adrenergic receptors, and muscarinic receptors. Lack of
receptor selectivity is one cause of side effects; for example, chlorpromazine may cause a dry
mouth by blocking muscarinic receptors in the doses used to treat schizophrenia.
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Drug Concentration and Therapeutic Response 3.4. Affinity of a drug for a receptor describes how tenaciously drug binds to the receptor. The
chemical forces in drug-receptor interactions involved are van der Waal forces, electrostatic
forces and the forces associated with hydrophobic bonds and hydrogen bonds. Variation in the
strength of these forces determines the degree of dissociation and association of the drug and the
receptor. Covalent binding of fluoroquinolones drug acting on bacteria to receptor leads to
formation of an irreversible link is an example of affinity of drug to receptor.
4. Therapeutic Window
The optimal design of a therapeutic dosage regimen is generally established on the basis of
systemic exposure-responses relationships, with the aim of achieving a desired safety–efficacy
balance for a given drug. Therapeutic window (TW), which is typically considered as the
therapeutic range of drug’s plasma concentration associated with safe effective treatment, is an
important parameter in efforts to attain this equilibrium (1). Drugs with a good therapeutic
window are effective in a range of doses that produces therapeutic responses without causing any
significant toxic side effect in patients. The therapeutic window is the ratio of the maximum safe
concentration (MSC) to the minimum effective concentrations (MEC). The concentration of drug
should always lies in between MSC and MEC in order to provide risk free therapeutic success. If
any drug exceeds the MSC then it will surely produce adverse effects; if the drug is unable to
achieve the MEC, this will result in therapeutic failure. The therapeutic window is also termed as
the safety window and can be quantified by the therapeutic index.
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Drug Concentration and Therapeutic Response
Figure 5: Therapeutic window
4.1. Therapeutic Index (TI):
Therapeutic index (TI) describes a relationship between the doses of a drug that causes lethal or
toxic effects with the dose that causes therapeutic effects. It is also referred to as the therapeutic
ratio.
Mathematically you can calculate TI by following way;
Therapeutic Index: LD50/ED50
or
Therapeutic Index: TD50/ED50
Lethal Dose (LD50): the dose required to produce death in 50% of the population). LD values
always refer for animal studies. Lethal doses in humans are hardly calculated.
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Drug Concentration and Therapeutic Response Toxic Dose (TD50): dose required to produce toxic effect in 50% of the individuals.
ED50 is the quantity of a drug that can produce desired therapeutic effects in 50% of the
population. Such types of studies are usually conducted in animal models or patients.
Note: EC50: the drug concentration producing 50% of a maximal effect– used for in vitro studies
only.
Figure 6. Graphical representation of dose-response relationships for producing therapeutic and toxic effects.
Drugs having a wider therapeutic window are safer in comparison to those having low
therapeutic window because minor modification in the dose of such drugs (aspirin,
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 15
Drug Concentration and Therapeutic Response acetaminophen) will not produce toxic effects. Some drugs (for example, digoxin, phenytoin,
lithium) have a narrow therapeutic window resulting frequently in toxicity in therapeutic doses.
Increasing the dose of a drug with a narrow therapeutic window increases the probability of
toxicity. A drug having a TI of 2 or less than 2 would be relatively narrow therapeutic window.
For some drugs, such as cancer chemotherapeutic agents, the therapeutic effect cannot be
achieved without toxicity because the doses required, for example, to kill cancer cells, may also
affect some other rapidly multiplying cells such as those in the skin, bone marrow and
gastrointestinal tract.
The concept of TW can be expressed more precisely in a philosophical manner using a
therapeutic utility curve. Figure 7 shows the weighted probabilities of the various responses
plotted against the logarithm of plasma concentration. By algebraic summing the weighted
possibilities of each response, a curve representing the chance of net therapeutic effects versus
the systemic exposure, or simply a therapeutic utility curve can be obtained. Any range of
plasma concentration, with its corresponding therapeutic utility equal to or higher than the pre-
set values, is defined as the systemic exposure associated with therapeutic success, which is also
known as the TW of the drug. However, owning to the subjective nature of therapeutic utility
curve, the width of TW largely depends on the pre-set value of the therapeutic utility and the
assigned relative weightings of each response.
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Drug Concentration and Therapeutic Response
Figure 7 shows a schematic diagram of the therapeutic utility curve.
The concept of TW based on systemic exposure is depicted in Figure 6. A therapeutic failure is
principally associated with systemic concentration below or above the TW, owing to the absence
of adequate efficacy and the inability of having adequate efficacy without toxicity respectively.
A successful therapy, or an effective therapy with minimal adverse effects, is more likely to be
achieved if the plasma concentration falls within the TW. However, therapeutic and adverse
responses of drug often correlate poorly with plasma concentration, thus adding further
complexity to TW determination. Development of drug tolerance is one classic example of poor
correlation; here, repeated drug exposure leads to the loss of response despite maintenance of
plasma concentration. Another example is the contribution of active metabolites to drug
response, whereby the measurement of plasma concentration of parent drug alone is insufficient
to establish the correlation. It is difficult to correlate the systemic exposure of effective single-
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 17
Drug Concentration and Therapeutic Response dose therapy with its therapeutic effect, for example morphine (to alleviate acute pain) and
nitroglycerin (to relieve angina pectoris). Occasionally, the response to certain drugs may relate
more closely to the duration and dose of therapy, instead of the plasma concentration.
Furthermore, time delays in drug effects can also complicate the relationship between systemic
exposure and response.
Table 1: Therapeutic window of selected drugs, where concentrations above the
therapeutic range will cause toxicity.
Drug Therapeutic Range (µg/mL) Therapeutic range (µmol/L)
Amikacin 15 - 25 25.62 - 42.70
Carbamazepine 5 - 12 21.16 - 50.80
Cyclosporine 0.1 - 0.4 0.08 - 0.33
Digoxin 0.0008 - 0.002 0.00102 - 0.00256
Gentamicin 5 - 10 10.45 - 20.90
Imipramine 0.15 - 0.3 0.53 - 1.07
Lidocaine 1.5 - 5.0 6.40 - 21.34
Quinidine 2 - 5 6.16 - 15.41
Tacrolimus 0.005 - 0.015 0.004 - 0.025
Theophylline 10 - 20 55.50 - 111.00
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 18
Drug Concentration and Therapeutic Response 5. The relationship between drug concentration and pharmacological effects in the whole
animal/human
In pharmacology, relationships between drug dose and response are described using models
based on classical receptor theory. Dose-response curves are constructed by measuring a
response (e.g. contraction of a muscle) at different doses. In clinical pharmacology, a fixed dose
administered to a range of individuals will produce a range of concentration measurements due
to individual pharmacokinetic variability; different individuals absorb, metabolise and excrete
drugs at different rates, with drug concentrations in the body changing over time. It is therefore
common to consider “concentration-effect” relationships rather than dose-response relationships.
In clinical practice, some drugs may be administered at doses that are at the top of the dose-
response curve. In such cases, increasing the dose will not improve response but may increase
the likelihood of toxicity. In contrast, sometimes it is not possible to reach the top of the
concentration-effect curve due to unacceptable toxicity. In such cases, simpler concentration-
effect models, such as linear or log linear models may be adequate to describe the relationship
between drug concentration and effect. There are conditions in which the drug concentration not
a good sign of therapeutic response. These include:-
i. Drugs used at concentrations which give a maximum effect.
ii. Hit and run drugs; some drugs act irreversibly e.g. the effect of aspirin on
cyclooxygenase in platelets or the MAO inhibitors. Termination of these effects relies on
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 19
Drug Concentration and Therapeutic Response synthesis of new platelets or MAO, so that there is no evident relationship between drug
concentration and effect.
iii. Delayed distribution. There are some drug which is slowly distributed at the site of drug
action. The best example is digoxin. Digoxin drug concentrations after an administration
showed a smaller therapeutic response due to delayed distribution. However, after some
time period when drug concentration fall due to redistribution to the site of action, the
therapeutic response increases as compared to initial higher concentration.
iv. The wrong effect can be measured. For example, after the first dose as the warfarin
concentration decreases, the effect of warfarin on prothrombin time increases. The rate of
onset of effect is determined by the rate of fall of existing clotting factors. As we know
that the direct effect of warfarin is on the rate of synthesis of clotting factor. If this is
measured directly than warfarin concentration corelates well with the therapeutic
response.
v. Tachyphylaxis (Acute tolerance) develops. Drug therapeutic effectiveness decreases with
continued use of drug is called tolerance. Amphetamine or cocaine are good examples.
Drug concentrations after a single dose cause a greater therapeutic effect than the same
concentrations used at later time causes less therapeutic effect.
6. Pharmacodynamic (PD) models
Pharmacodynamic models describe the relationship between drug concentration at the site of
action and the effect. PD models use data derived from plasma drug concentration vs. time
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Drug Concentration and Therapeutic Response profile and from the time course of pharmacological effect to predict the pharmacodynamics of
the drug. There are various direct and indirect PD model. In this module, we have explained only
direct PD models. The characteristics of direct models are:-.
i. the drug has a direct effect,
ii. The action of the drug is rapid and
iii. there is a rapid equilibrium of the drug between its site of action and the sampled
biological fluids.
6.1. Linear Concentration-Effect Model
This model assumes that there is a direct linear relationship between the drug concentration and
the effect. For example, linear relationships have been observed when the fall in blood pressure
is plotted against the plasma concentration of a calcium antagonist. Note that the effect could be
an increase or a decrease in a measurement, for example, a calcium antagonist may increase
heart rate whereas a beta blocker reduces heart rate.
E=S.C +E0
where E is the drug response, S is the slope, C is the concentration of drug and E0 is the base
response level without drug
6.2. Log-Linear Concentration-Effect Model
The improvised version of this model, log-linear model is expressed as E=S. log C +E0, showing
that the drug response is directly proportional to the log of the concentration of drug. However,
as described earlier, as drug concentration increases the response reaches a maximum above
Pharmaceutical Biopharmaceutics and Pharmacokinetics sciences Drug Concentration and Therapeutic Response 21
Drug Concentration and Therapeutic Response which there is no further increase in response to further increases in dose. Hence, the models are
only valid within certain ranges of drug concentration; the drug response has to be within the
range 20-80% of the maximum effect.
Figure 8: Graph of response against concentration with log linear portion
6.3. Emax Concentration-Effect Model The Emax model provides a better description of the true nature of the relationship between drug concentration and effect. It can be seen that concentrations of the test drug are increased further,
the increase in response is very small as the effect reaches Emax. E0, the maximum possible
effect (Emax), and the drug concentration producing half
maximal effect (EC50)
E=
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Drug Concentration and Therapeutic Response
6.4. Sigmoidal Emax Concentration-Effect Model A further extension of the Emax model is the “Sigmoidal” Emax model (“Hill equation”), which
contains an additional parameter gamma (γ) is the slope factor of curve to describe the
“steepness” of the concentration-effect curve. This more general equation allows concentration-
effect profiles to vary in shape as seen in figure 9. A steep slope, with γ >1 implies that a small
change in concentration will produce a large change in effect. At the extreme, it is sometimes
reported as an “all or none” response (see profile for γ = 5). A shallow slope indicates that a large
change in concentration will be required to achieve a change in effect. This is often referred to as
a “flat” dose-response relationship (see profile for γ = 0.5). However, “flat” concentration-effect
relationships also occur if the maximum effect has already been reached, e.g.
bendroflumethiazide dose and blood pressure reduction. In that example, an increase in dose has
no effect on the therapeutic response but increases the likelihood of toxic effects.
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Drug Concentration and Therapeutic Response
Figure 9. Sigmoidal E-max model (Hill equation)
In many cases, there is no simple clinical response measurement, such as blood pressure, that can
be directly related to drug concentration. In addition, responses after a single dose may differ
from those observed at steady state (e.g. “first dose effect” of ACE inhibitors). For antibiotics,
anti-cancer drugs and immunosuppressants, “response” may be a clinical parameter, such as
temperature or white cell count, or a percentage probability of clinical success or failure, such as
resolution of the infection, tumour response, tissue rejection or toxicity. Some responses may be
all or none – i.e. death or survival, whereas others may be graded, such as the severity of toxicity
to an anticancer drug.
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Drug Concentration and Therapeutic Response
7. Onset and Duration of Action
A rapid equilibration between drug plasma concentration and its site of action coupled to a rapid onset
and offset of effect will produce an effect-time profile that mimics the drug concentration-time profile.
However, for many drugs there is a delay in such equilibration. The factor which influences duration of
drug action are amount of drug (dose size) and the rate of removal of drug from site of action.
Alternatively the pharmacological response may depend on a time-dependent induction or inhibition of a
biochemical or receptor process. In these cases, the maximum effect does not occur at the time of the
maximum concentration but lags behind. For example, if an antibiotic is given by IV bolus injection to
treat a deep-seated tissue infection, the maximum drug concentration will occur at the time of the
injection. However, it still has to distribute to the tissues and then into the organism to exert its effect on
cell wall or protein synthesis. The onset and duration of the response to warfarin depends both on the
pharmacokinetics of warfarin itself and of the clotting factors. These delays lead to a lag between peak
blood concentration and the peak effect.
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