Related Experiment Video
Updated: Mar 2, 2026
07:41
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
Published on: June 5, 2017
10.4K
A two-step deconvolution-analysis-informed population pharmacodynamic modeling approach for drugs targeting pulsatile
Michiel J van Esdonk1,2, Jacobus Burggraaf3,4, Piet H van der Graaf3,5
1Division of Pharmacology, Cluster Systems Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. m.j.van.esdonk@lacdr.leidenuniv.nl.
Journal of Pharmacokinetics and Pharmacodynamics
|May 13, 2017
Summary
This study introduces a novel pharmacodynamic modeling approach to accurately quantify pulsatile secretion of endogenous compounds like growth hormone (GH). The method improves analysis of complex, variable data, enabling better drug effect quantification.
Area of Science:
- Pharmacology
- Physiology
- Biostatistics
Background:
- Current pharmacodynamic models struggle to accurately capture pulsatile secretion of endogenous compounds like growth hormone (GH), limiting detailed analysis.
- Existing methods often rely on non-compartmental analyses, providing only summary statistics and missing the nuances of pulsatile dynamics.
Purpose of the Study:
- To develop and validate a new quantification method for highly variable pulsatile data using deconvolution analysis-informed population pharmacodynamic modeling.
- To enable precise estimation of pulse characteristics and drug effects on endogenous pulsatile secretion.
Main Methods:
- Utilized deconvolution analysis on 24-hour GH profiles to determine pulse frequency and timing.
- Employed a non-linear mixed-effects population pharmacodynamic model (NONMEM V7.3) informed by estimated pulse times.
- Incorporated a turnover compartment model to estimate baseline secretion, pulse width, and amplitude, identifying total body water as a covariate.
Main Results:
- The developed model successfully fitted and quantified highly variable individual 24-hour GH profiles.
- Population parameters were estimated with high precision (2-5% relative standard errors).
- Simulations demonstrated the model's capability to visualize drug effects on GH secretion and quantify inhibition.
Conclusions:
- The novel deconvolution-analysis-informed population pharmacodynamic modeling approach effectively quantifies pulsatile endogenous compound secretion.
- This method offers a significant advancement for analyzing complex biological data and assessing drug impacts on hormonal systems.
- The model is adaptable for quantifying drug effects on other endogenous pulsatile compounds beyond GH.
Related Concept Videos
01:12Analysis of Population Pharmacokinetic Data
872
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
872
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
379
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
379
01:14Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
602
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
602
01:14Model Approaches for Pharmacokinetic Data: Compartment Models
654
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
654
01:25Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview
420
Drug administration can occur through various routes, each of which may result in a different process of elimination. This process is often mixed with nonlinear and linear processes. It's important to understand that a single drug can be metabolized into different metabolites through parallel processes.
For instance, consider the metabolism of sodium salicylate. This compound is metabolized into two distinct substances: a glucuronide and a glycine conjugate. The rate of conjugation depends...
For instance, consider the metabolism of sodium salicylate. This compound is metabolized into two distinct substances: a glucuronide and a glycine conjugate. The rate of conjugation depends...
420
01:14Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
51
The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
51