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Dose-response-time modelling: Second-generation turnover model with integral feedback control.

Robert Andersson1, Mats Jirstrand2, Lambertus Peletier3

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European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences
|November 4, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a dose-response-time (DRT) model for analyzing nicotinic acid (NiAc) and free fatty acid (FFA) interactions. The model successfully predicts adaptation to NiAc, demonstrating DRT analysis utility even without exposure data.

Keywords:
Biophase modelsFeedback controlFree fatty acids (FFA)Nicotinic acid (NiAc)ToleranceTurnover

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Area of Science:

  • Pharmacology
  • Pharmacokinetics
  • Biomathematics

Background:

  • Nicotinic acid (NiAc) significantly impacts free fatty acid (FFA) levels.
  • Understanding the dynamic interaction between NiAc and FFA is crucial for therapeutic applications.
  • Previous models have limitations in capturing long-term adaptive responses.

Purpose of the Study:

  • To develop and validate a dose-response-time (DRT) model for NiAc-FFA interactions.
  • To demonstrate the utility of DRT analysis independent of exposure data.
  • To incorporate advanced feedback control mechanisms into the NiAc-FFA model.

Main Methods:

  • Utilized a large preclinical biomarker dataset of NiAc-FFA time courses.
  • Developed a second-generation NiAc/FFA model with integral and moderator feedback control.
  • Employed new numerical algorithms based on sensitivity equations for parameter optimization in a mixed-effects model.

Main Results:

  • The integral feedback control accurately captured 90% adaptation to NiAc infusion over 10 days.
  • The adaptation process half-life prediction interval was 3.5-12 days.
  • Pharmacodynamic parameter estimates were consistent with exposure-driven analyses, validating the DRT approach.

Conclusions:

  • The DRT modeling approach is a viable alternative for analyzing drug-biomarker dynamics when exposure data are unavailable.
  • The developed NiAc/FFA model with integral feedback effectively describes adaptive responses.
  • Advanced numerical methods enhance the robustness and efficiency of DRT model parameter estimation.