Guiding Dyslipidemia Treatment: A Population Pharmacokinetic-Pharmacodynamic Framework for Obicetrapib.

cardiovascular model informed drug development modeling and simulation pharmacodynamics pharmacometrics population pharmacokinetics

Journal

Journal of clinical pharmacology
ISSN: 1552-4604
Titre abrégé: J Clin Pharmacol
Pays: England
ID NLM: 0366372

Informations de publication

Date de publication:
08 May 2024
Historique:
received: 22 02 2024
accepted: 03 04 2024
medline: 9 5 2024
pubmed: 9 5 2024
entrez: 9 5 2024
Statut: aheadofprint

Résumé

Obicetrapib is a selective inhibitor of cholesteryl ester transfer protein that is currently in phase 3 of development for the treatment of dyslipidemia as adjunct therapy. The purpose of this study was to comprehensively characterize the pharmacokinetic (PK) and pharmacodynamic (PD) disposition of obicetrapib. Data from 7 clinical trials conducted in healthy adults and those with varying degrees of dyslipidemia were included for model development. The structural model that best described obicetrapib PK was a 3-compartment model with 4-compartment transit absorption and first-order elimination. Body weight was the only covariate found to significantly explain observed variability and was therefore included using allometric scaling on all disposition parameters. For a typical patient weighing 75 kg, the estimated apparent total body clearance and apparent volume of distribution of the central compartment was 0.81 L/h and 36.1 L, respectively. The final PK model parameters were estimated with good precision and were ultimately leveraged to sequentially inform 2 turnover models that describe obicetrapib's effect on low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) concentrations. The maximum stimulatory effect of obicetrapib on LDL-C loss was estimated to be 1.046, while the maximum inhibitory effect of obicetrapib on HDL-C loss was 0.691. This corresponds to a predicted typical maximum percent change from baseline LDL-C and HDL-C of 51.1% and 224%, respectively. The final sequential model described obicetrapib PKPD well and was ultimately able to both demonstrate evidence of internal consistency and support decision-making throughout the development lifecycle.

Identifiants

pubmed: 38720593
doi: 10.1002/jcph.2448
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024, The American College of Clinical Pharmacology.

Références

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Auteurs

Allison Dunn (A)

Center for Translational Medicine, School of Pharmacy, University of Maryland, Baltimore, MD, USA.

Marc Ditmarsch (M)

NewAmsterdam Pharma B.V., Naarden, The Netherlands.

John J P Kastelein (JJP)

NewAmsterdam Pharma B.V., Naarden, The Netherlands.
Academic Medical Center, Amsterdam, The Netherlands.

Douglas Kling (D)

NewAmsterdam Pharma B.V., Naarden, The Netherlands.

Annie Neild (A)

NewAmsterdam Pharma B.V., Naarden, The Netherlands.

Michael H Davidson (MH)

NewAmsterdam Pharma B.V., Naarden, The Netherlands.

Joga Gobburu (J)

Center for Translational Medicine, School of Pharmacy, University of Maryland, Baltimore, MD, USA.

Classifications MeSH