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局部给药后的眼内药物分布:家兔群体药代动力学模型

Ocular Drug Distribution After Topical Administration: Population Pharmacokinetic Model in Rabbits.

作者信息

Djebli Nassim, Khier Sonia, Griguer Florence, Coutant Anne-Laure, Tavernier Alexandra, Fabre Gerard, Leriche Caroline, Fabre David

机构信息

Disposition Safety and Animal Research, Sanofi Recherche and Developpement, Montpellier, France.

Department of Pharmacokinetics, Université de Montpellier, 34090, Montpellier, France.

出版信息

Eur J Drug Metab Pharmacokinet. 2017 Feb;42(1):59-68. doi: 10.1007/s13318-016-0319-4.


DOI:10.1007/s13318-016-0319-4
PMID:26820265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5306244/
Abstract

BACKGROUND AND OBJECTIVE: When eye diseases are treated by topical administration, the success of treatment lies in the effective drug concentration in the target tissue. This is why the drug's pharmacokinetic, in the different substructures of the eye, needs to be explored more accurately during drug development. The aim of the present analysis was to describe by rabbit model, the distribution of a drug after ocular instillation in the selected eye tissues and fluids. METHODS: By a top-down population approach, we developed and validated a population pharmacokinetics (PopPK) model, using tissue concentrations (tear, naso-lacrymal duct, cornea and aqueous humor) of a new src tyrosine kinase inhibitor (FV-60165) in each anterior segment's tissue and fluid of the rabbit eye. Inter-individual variability was estimated and the impact of the formulation (solution or nanosuspension) was evaluated. RESULTS: The model structure selected for the eye is a 4-compartment model with the formulation as a significant covariate on the first-order rate constant between tears and the naso-lacrymal duct. The model showed a good predictive performance and may be used to estimate the concentration-time profiles after single or repeated administration, in each substructure of the eye for each animal included in the analysis. CONCLUSIONS: This analysis allowed describing the distribution of a drug in the different selected tissues and fluids in the rabbit's eyes after instillation of the prodrug as a solution or nanosuspension.

摘要

背景与目的:当通过局部给药治疗眼部疾病时,治疗的成功与否取决于靶组织中的有效药物浓度。这就是为什么在药物研发过程中需要更准确地探究药物在眼睛不同亚结构中的药代动力学。本分析的目的是通过兔模型描述眼部滴注药物后在选定的眼组织和眼液中的分布情况。 方法:采用自上而下的群体方法,我们开发并验证了一个群体药代动力学(PopPK)模型,该模型使用了一种新型src酪氨酸激酶抑制剂(FV - 60165)在兔眼前节各组织和眼液(泪液、鼻泪管、角膜和房水)中的组织浓度。估计个体间变异性,并评估制剂(溶液或纳米混悬液)的影响。 结果:为眼睛选择的模型结构是一个四室模型,制剂作为泪液和鼻泪管之间一级速率常数的显著协变量。该模型显示出良好的预测性能,可用于估计分析中纳入的每只动物单次或重复给药后眼各亚结构中的浓度 - 时间曲线。 结论:本分析能够描述前药以溶液或纳米混悬液形式滴注后在兔眼中不同选定组织和眼液中的分布情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/c41587b49a02/13318_2016_319_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/d66124d50e45/13318_2016_319_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/b4ff9cf3b70f/13318_2016_319_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/c472e467752f/13318_2016_319_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/3d97cc028eb8/13318_2016_319_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/b6544638271a/13318_2016_319_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/c41587b49a02/13318_2016_319_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/d66124d50e45/13318_2016_319_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/b4ff9cf3b70f/13318_2016_319_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/c472e467752f/13318_2016_319_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/3d97cc028eb8/13318_2016_319_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/b6544638271a/13318_2016_319_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6af1/5306244/c41587b49a02/13318_2016_319_Fig6_HTML.jpg

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