Therapeutic benefit that can be induced by a pharmaceutical compound p
artly relies upon the profile of its biological action. Evaluation of
the drug-induced effect profile in a given pathological condition begi
ns with the determination of the relevant biological effect related to
the therapeutic benefit, which is not always obvious. Evaluation itse
lf is based on dose-effect relationships as a function of time. During
chronic treatment, such a kinetic profile oscillates between peak and
trough levels. Relationships that can be established between time-dep
endent effect profile and pharmacokinetic data lead to PK-PD mathemati
cal model, whose main objectives are simulation, prediction of effect
and ultimately dose optimisation. The therapeutic implications of the
time-dependent effect profile are well illustrated in the cases of ant
ibiotics, diuretics such as furosemide and anti-hypertensive drugs. Du
ring drug development, PK-PD approaches can be used in the initial cli
nical and even pre-clinical phases and can lead to a better definition
of effective dose ranges, optimisation of large scale clinical trials
or identification of high risk patients. This may favour a reduction
of costs and duration of development. Validation of such an approach i
s easier in well known therapeutic domains but can be more difficult w
ith innovative drugs. The implications of PK-PD approaches can however
, be, limited when the relevant biological or clinical parameter canno
t be assessed, when the cascade of events leading to pharmacological a
nd therapeutic effects is complex or finally when such PK-PD models re
quire a long time to be established during the early phase of drug dev
elopment.