A two-step deconvolution-analysis-informed population pharmacodynamic modeling approach for drugs targeting pulsatile endogenous compounds

Journal of Pharmacokinetics and Pharmacodynamics
Michiel J van EsdonkJ Stevens

Abstract

Pharmacodynamic modeling of pulsatile endogenous compounds (e.g. growth hormone [GH]) is currently limited to the identification of a low number of pulses. Commonly used pharmacodynamic models are not able to capture the complexity of pulsatile secretion and therefore non-compartmental analyses are performed to extract summary statistics (mean, AUC, Cmax). The aim of this study was to develop a new quantification method that deals with highly variable pulsatile data by using a deconvolution-analysis-informed population pharmacodynamic modeling approach. Pulse frequency and pulse times were obtained by deconvolution analysis of 24 h GH profiles. The estimated pulse times then informed a non-linear mixed effects population pharmacodynamic model in NONMEM V7.3. The population parameter estimates were used to perform simulations that show agonistic and antagonistic drug effects on the secretion of GH. Additionally, a clinical trial simulation shows the application of this method in the quantification of a hypothetical drug effect that inhibits GH secretion. The GH profiles were modeled using a turnover compartment in which the baseline secretion, kout, pulse secretion width, amount at time point 0 and pulse amplitude were estimated...Continue Reading

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Citations

Oct 30, 2018·The Journal of Clinical Endocrinology and Metabolism·Wadim M I de BoonJacobus Burggraaf
Mar 5, 2021·Journal of Pharmacokinetics and Pharmacodynamics·Michiel J van Esdonk, Jasper Stevens

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Software Mentioned

NONMEM
R
R Studio
Pirana
AutoDecon
NLME

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