Physiologically Based Pharmacokinetic Modelling to Identify Physiological and Drug Parameters Driving Pharmacokinetics in Obese Individuals

Détails

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Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_D73E02992F11
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Physiologically Based Pharmacokinetic Modelling to Identify Physiological and Drug Parameters Driving Pharmacokinetics in Obese Individuals
Périodique
Clin Pharmacokinet
Auteur⸱e⸱s
Berton M., Bettonte S., Stader F., Battegay M., Marzolini C.
ISSN
1179-1926 (Electronic)
0312-5963 (Print)
ISSN-L
0312-5963
Statut éditorial
Publié
Date de publication
02/2023
Peer-reviewed
Oui
Volume
62
Numéro
2
Pages
277-295
Langue
anglais
Notes
Berton, Mattia
Bettonte, Sara
Stader, Felix
Battegay, Manuel
Marzolini, Catia
eng
Research Support, Non-U.S. Gov't
Switzerland
Clin Pharmacokinet. 2023 Feb;62(2):277-295. doi: 10.1007/s40262-022-01194-3. Epub 2022 Dec 26.
Résumé
BACKGROUND: Obese individuals are often underrepresented in clinical trials, leading to a lack of dosing guidance. OBJECTIVE: This study aimed to investigate which physiological parameters and drug properties determine drug disposition changes in obese using our physiologically based pharmacokinetic (PBPK) framework, informed with obese population characteristics. METHODS: Simulations were performed for ten drugs with clinical data in obese (i.e., midazolam, triazolam, caffeine, chlorzoxazone, acetaminophen, lorazepam, propranolol, amikacin, tobramycin, and glimepiride). PBPK drug models were developed and verified first against clinical data in non-obese (body mass index (BMI) </= 30 kg/m(2)) and subsequently in obese (BMI >/= 30 kg/m(2)) without changing any drug parameters. Additionally, the PBPK model was used to study the effect of obesity on the pharmacokinetic parameters by simulating drug disposition across BMI, starting from 20 up to 60 kg/m(2). RESULTS: Predicted pharmacokinetic parameters were within 1.25-fold (71.5%), 1.5-fold (21.5%) and twofold (7%) of clinical data. On average, clearance increased by 1.6% per BMI unit up to 64% for a BMI of 60 kg/m(2), which was explained by the increased hepatic and renal blood flows. Volume of distribution increased for all drugs up to threefold for a BMI of 60 kg/m(2); this change was driven by pK(a) for ionized drugs and logP for neutral and unionized drugs. C(max) decreased similarly across all drugs while t(max) remained unchanged. CONCLUSION: Both physiological changes and drug properties impact drug pharmacokinetics in obese subjects. Clearance increases due to enhanced hepatic and renal blood flows. Volume of distribution is higher for all drugs, with differences among drugs depending on their pK(a)/logP.
Mots-clé
Humans, *Obesity/drug therapy, *Midazolam, Caffeine, Propranolol, Body Mass Index, Models, Biological, Pharmacokinetics, Computer Simulation
Pubmed
Financement(s)
Fonds national suisse / 188504
Création de la notice
25/08/2023 6:17
Dernière modification de la notice
25/01/2024 8:45
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