Delineating gene-environment effects using virtual twins of patients treated with clozapine.
Journal
CPT: pharmacometrics & systems pharmacology
ISSN: 2163-8306
Titre abrégé: CPT Pharmacometrics Syst Pharmacol
Pays: United States
ID NLM: 101580011
Informations de publication
Date de publication:
02 2023
02 2023
Historique:
revised:
11
10
2022
received:
04
07
2022
accepted:
13
10
2022
pubmed:
26
11
2022
medline:
18
2
2023
entrez:
25
11
2022
Statut:
ppublish
Résumé
Studies that focus on individual covariates, while ignoring their interactions, may not be adequate for model-informed precision dosing (MIPD) in any given patient. Genetic variations that influence protein synthesis should be studied in conjunction with environmental covariates, such as cigarette smoking. The aim of this study was to build virtual twins (VTs) of real patients receiving clozapine with interacting covariates related to genetics and environment and to delineate the impact of interacting covariates on predicted clozapine plasma concentrations. Clozapine-treated patients with schizophrenia (N = 42) with observed clozapine plasma concentrations, demographic, environmental, and genotype data were used to construct VTs in Simcyp. The effect of increased covariate virtualization was assessed by performing simulations under three conditions: "low" (demographic), "medium" (demographic and environmental interaction), and "high" (demographic and environmental/genotype interaction) covariate virtualization. Increasing covariate virtualization with interaction improved the coefficient of variation (R
Identifiants
pubmed: 36424701
doi: 10.1002/psp4.12886
pmc: PMC9931435
doi:
Substances chimiques
Clozapine
J60AR2IKIC
Antipsychotic Agents
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
168-179Informations de copyright
© 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
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