Literature DB >> 29519169

Bundling arrows: improving translational CNS drug development by integrated PK/PD-metabolomics.

W J van den Brink1, T Hankemeier1, P H van der Graaf1,2, E C M de Lange1.   

Abstract

INTRODUCTION: Diseases of the Central Nervous System (CNS) affect millions of people worldwide, with the number of people affected quickly growing. Unfortunately, the successful development of CNS-acting drugs is less than 10%, and this is attributed to the complexity of the CNS, unexpected side effects, difficulties in penetrating the blood-brain barrier and lack of biomarkers. Areas covered: Herein, the authors first review how pharmacokinetic/pharmacodynamic (PK/PD) models are designed to predict the dose-dependent time course of effect, and how they are used to translate drug effects from animal to man. Then, the authors discuss how pharmacometabolomics gives insight into system-wide pharmacological effects and why it is a promising method to study interspecies differences. Finally, the authors advocate the application of PK/PD-metabolomics modeling to advance translational CNS drug development by discussing its opportunities and challenges. Expert opinion: It is envisioned that PK/PD-metabolomics will increase our understanding of CNS drug effects and improve translational CNS drug development, thereby increasing success rates. The successful future development of this concept will require multi-level and longitudinal biomarker evaluation over a large dose range, multi-tissue biomarker evaluation, and the generation of a proof of principle by application to multiple CNS drugs in multiple species.

Entities:  

Keywords:  Biomarkers; CNS drug development; PK/PD modeling; interspecies scaling; pharmacometabolomics; systems pharmacology

Mesh:

Substances:

Year:  2018        PMID: 29519169     DOI: 10.1080/17460441.2018.1446935

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  3 in total

1.  Blood-Based Biomarkers of Quinpirole Pharmacology: Cluster-Based PK/PD and Metabolomics to Unravel the Underlying Dynamics in Rat Plasma and Brain.

Authors:  Willem J van den Brink; Robin Hartman; Dirk-Jan van den Berg; Gunnar Flik; Belén Gonzalez-Amoros; Nanda Koopman; Jeroen Elassais-Schaap; Piet Hein van der Graaf; Thomas Hankemeier; Elizabeth C M de Lange
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-01-24

2.  Quantitative Systems Pharmacology for Neuroscience Drug Discovery and Development: Current Status, Opportunities, and Challenges.

Authors:  Hugo Geerts; John Wikswo; Piet H van der Graaf; Jane P F Bai; Chris Gaiteri; David Bennett; Susanne E Swalley; Edgar Schuck; Rima Kaddurah-Daouk; Katya Tsaioun; Mary Pelleymounter
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-11-24

3.  Application of machine learning to predict reduction in total PANSS score and enrich enrollment in schizophrenia clinical trials.

Authors:  Jagdeep T Podichetty; Rebecca M Silvola; Violeta Rodriguez-Romero; Richard F Bergstrom; Majid Vakilynejad; Robert R Bies; Robert E Stratford
Journal:  Clin Transl Sci       Date:  2021-05-03       Impact factor: 4.689

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.