Literature DB >> 33686560

Modeling Approach to Predict the Impact of Inflammation on the Pharmacokinetics of CYP2C19 and CYP3A4 Substrates.

Florian Simon1,2, Elodie Gautier-Veyret3,4, Aurélie Truffot3, Marylore Chenel5, Léa Payen6, Françoise Stanke-Labesque3,4, Michel Tod7.   

Abstract

PURPOSE: For decades, inflammation has been considered a cause of pharmacokinetic variability, mainly in relation to the inhibitory effect of pro-inflammatory cytokines on the expression level and activity of cytochrome P450 (CYP). In vitro and clinical studies have shown that two major CYPs, CYP2C19 and CYP3A4, are both impaired. The objective of the present study was to quantify the impact of the inflammatory response on the activity of both CYPs in order to predict the pharmacokinetic profile of their substrates according to systemic C-reactive protein (CRP).
METHODS: The relationships between CRP concentration and both CYPs activities were estimated and validated using clinical data first on midazolam then on voriconazole. Finally, clinical data on omeprazole were used to validate the findings. For each substrate, a physiologically based pharmacokinetics model was built using a bottom-up approach, and the relationships between CRP level and CYP activities were estimated by a top-down approach. After incorporating the respective relationships, we compared the predictions and observed drug concentrations.
RESULTS: Changes in pharmacokinetic profiles and parameters induced by inflammation seem to be captured accurately by the models.
CONCLUSIONS: These findings suggest that the pharmacokinetics of CYP2C19 and CYP3A4 substrates can be predicted depending on the CRP concentration.

Entities:  

Keywords:  CRP; CYP2C19; CYP3A4; Inflammation; PBPK; genotype

Year:  2021        PMID: 33686560     DOI: 10.1007/s11095-021-03019-7

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  1 in total

1.  Inflammation is a potential risk factor of voriconazole overdose in hematological patients.

Authors:  Elodie Gautier-Veyret; Aurélie Truffot; Sébastien Bailly; Xavier Fonrose; Anne Thiebaut-Bertrand; Julia Tonini; Jean-Yves Cahn; Françoise Stanke-Labesque
Journal:  Fundam Clin Pharmacol       Date:  2018-12-07       Impact factor: 2.748

  1 in total
  2 in total

1.  Impact of polymorphisms of pharmacokinetics-related genes and the inflammatory response on the metabolism of voriconazole.

Authors:  Naoya Aiuchi; Junichi Nakagawa; Hirotake Sakuraba; Takenori Takahata; Kosuke Kamata; Norihiro Saito; Kayo Ueno; Masahiro Ishiyama; Kazufumi Yamagata; Hiroyuki Kayaba; Takenori Niioka
Journal:  Pharmacol Res Perspect       Date:  2022-04

2.  PBPK Modelling of Dexamethasone in Patients With COVID-19 and Liver Disease.

Authors:  Maiara Camotti Montanha; Nicolas Cottura; Michael Booth; Daryl Hodge; Fazila Bunglawala; Hannah Kinvig; Sandra Grañana-Castillo; Andrew Lloyd; Saye Khoo; Marco Siccardi
Journal:  Front Pharmacol       Date:  2022-01-28       Impact factor: 5.810

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.