Pharmacokinetics-Pharmacodynamics (PK-PD) Modeling: A translational path to brain-targeted drug delivery

05 July 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Pharmacokinetic-pharmacodynamics (PK/PD) modeling has been recognized as an essential tool for the planning and execution of clinical pharmacology investigations throughout the formulation development process. The utilization of PK/PD modeling to optimize dosage recommendations and therapeutic medication monitoring is on the rise, and PK/PD model-based dose individualization is going to play a crucial role in personalized medicine. In recent years, higher costs and low productivity in drug development have got a lot of attention. Fewer than 10% of innovative medications that survive clinical trials are commercialized, while many more fail in preclinical research. Based on preclinical and clinical data, the FDA now defines model-based drug development as a key tool in the assessment of therapeutic efficacy and safety of medications. As successful drug delivery to central nervous system (CNS) diseases has been a tough challenge, effective use of PK/PD models can permit merging data from clinical trials with quantified exposure and provide highly convincing explanations for disparities in the results of distinct investigations. To improve CNS therapies and drug development, details of inter-species and inter-condition variations are needed to enable target site pharmacokinetics and associated CNS effects between disease states. The present review covers the potential of PK/PD modeling in the current scenario of drug development with a special emphasis on CNS-based targeted delivery. Additionally, challenges associated with the field have also been addressed.

Keywords

Pharmacokinetic
Pharmacodynamics
PK/PD models
Brain
Central nervous system
Drug Delivery.

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.