Indirect Response Models account for the pharmacodynamics of numerous drugs
which inhibit or stimulate the production (k(in)) or loss (k(out)) of the
response variable (R). The dose and pharmacokinetics, capacity (S-max, /(ma
x)), and potency (SC50, IC50) factors of the Hill function incorporated in
these models are the primary determinants of overall responsiveness. Howeve
r, the initial or baseline value for the response (R-0 = k(in)/K-out) shoul
d also be considered as an important factor for the net response. Using Ind
irect Response Model III (stimulation of input) as an example, the net area
under the effect curve (AUEC(NET)) can be proportional to the R-0 values.
Such a feature is demonstrated in this report by computer simulations, by e
xamination of the integral of the simulated response vs time profiles, and
with examples from the literature. Also shown is an adjustment of R-0 when
the therapeutic agent is an endogenous substance. These analyses show that
the role of R-0 and k(in) should not be overlooked as determinants of indir
ect responses and source of variation among subjects or patient groups.