• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于预测口服剂型体内性能的体外模型。

In vitro models for the prediction of in vivo performance of oral dosage forms.

作者信息

Kostewicz Edmund S, Abrahamsson Bertil, Brewster Marcus, Brouwers Joachim, Butler James, Carlert Sara, Dickinson Paul A, Dressman Jennifer, Holm René, Klein Sandra, Mann James, McAllister Mark, Minekus Mans, Muenster Uwe, Müllertz Anette, Verwei Miriam, Vertzoni Maria, Weitschies Werner, Augustijns Patrick

机构信息

Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany.

Department of Global Medicines Development, AstraZeneca R&D, S-431 83 Mölndal, Sweden.

出版信息

Eur J Pharm Sci. 2014 Jun 16;57:342-66. doi: 10.1016/j.ejps.2013.08.024. Epub 2013 Aug 27.

DOI:10.1016/j.ejps.2013.08.024
PMID:23988843
Abstract

Accurate prediction of the in vivo biopharmaceutical performance of oral drug formulations is critical to efficient drug development. Traditionally, in vitro evaluation of oral drug formulations has focused on disintegration and dissolution testing for quality control (QC) purposes. The connection with in vivo biopharmaceutical performance has often been ignored. More recently, the switch to assessing drug products in a more biorelevant and mechanistic manner has advanced the understanding of drug formulation behavior. Notwithstanding this evolution, predicting the in vivo biopharmaceutical performance of formulations that rely on complex intraluminal processes (e.g. solubilization, supersaturation, precipitation…) remains extremely challenging. Concomitantly, the increasing demand for complex formulations to overcome low drug solubility or to control drug release rates urges the development of new in vitro tools. Development and optimizing innovative, predictive Oral Biopharmaceutical Tools is the main target of the OrBiTo project within the Innovative Medicines Initiative (IMI) framework. A combination of physico-chemical measurements, in vitro tests, in vivo methods, and physiology-based pharmacokinetic modeling is expected to create a unique knowledge platform, enabling the bottlenecks in drug development to be removed and the whole process of drug development to become more efficient. As part of the basis for the OrBiTo project, this review summarizes the current status of predictive in vitro assessment tools for formulation behavior. Both pharmacopoeia-listed apparatus and more advanced tools are discussed. Special attention is paid to major issues limiting the predictive power of traditional tools, including the simulation of dynamic changes in gastrointestinal conditions, the adequate reproduction of gastrointestinal motility, the simulation of supersaturation and precipitation, and the implementation of the solubility-permeability interplay. It is anticipated that the innovative in vitro biopharmaceutical tools arising from the OrBiTo project will lead to improved predictions for in vivo behavior of drug formulations in the GI tract.

摘要

准确预测口服药物制剂的体内生物制药性能对于高效药物开发至关重要。传统上,口服药物制剂的体外评估主要集中在用于质量控制(QC)目的的崩解和溶出度测试。与体内生物制药性能的联系常常被忽视。最近,转向以更具生物相关性和机制性的方式评估药品,加深了对药物制剂行为的理解。尽管有这种发展,但预测依赖复杂腔内过程(如溶解、过饱和、沉淀……)的制剂的体内生物制药性能仍然极具挑战性。与此同时,对复杂制剂以克服低药物溶解度或控制药物释放速率的需求不断增加,促使开发新的体外工具。开发和优化创新的、预测性的口服生物制药工具是创新药物计划(IMI)框架内OrBiTo项目的主要目标。物理化学测量、体外试验、体内方法和基于生理学的药代动力学建模的结合有望创建一个独特的知识平台,消除药物开发中的瓶颈,使药物开发的整个过程更高效。作为OrBiTo项目的部分基础,本综述总结了制剂行为预测性体外评估工具的现状。讨论了药典列出的仪器和更先进的工具。特别关注限制传统工具预测能力的主要问题,包括胃肠道条件动态变化的模拟、胃肠蠕动的充分再现、过饱和和沉淀的模拟以及溶解度-渗透性相互作用的实现。预计OrBiTo项目产生的创新体外生物制药工具将改善对胃肠道中药物制剂体内行为的预测。

相似文献

1
In vitro models for the prediction of in vivo performance of oral dosage forms.用于预测口服剂型体内性能的体外模型。
Eur J Pharm Sci. 2014 Jun 16;57:342-66. doi: 10.1016/j.ejps.2013.08.024. Epub 2013 Aug 27.
2
PBPK models for the prediction of in vivo performance of oral dosage forms.用于预测口服剂型体内性能的生理药代动力学(PBPK)模型。
Eur J Pharm Sci. 2014 Jun 16;57:300-21. doi: 10.1016/j.ejps.2013.09.008. Epub 2013 Sep 21.
3
Oral biopharmaceutics tools - time for a new initiative - an introduction to the IMI project OrBiTo.口服生物药剂学工具——开启新计划的时机——IMI项目OrBiTo介绍
Eur J Pharm Sci. 2014 Jun 16;57:292-9. doi: 10.1016/j.ejps.2013.10.012. Epub 2013 Nov 1.
4
In Vivo Predictive Dissolution (IPD) and Biopharmaceutical Modeling and Simulation: Future Use of Modern Approaches and Methodologies in a Regulatory Context.体内预测性溶出(IPD)与生物药剂学建模和模拟:现代方法与技术在监管背景下的未来应用
Mol Pharm. 2017 Apr 3;14(4):1307-1314. doi: 10.1021/acs.molpharmaceut.6b00824. Epub 2017 Mar 1.
5
In silico predictions of gastrointestinal drug absorption in pharmaceutical product development: application of the mechanistic absorption model GI-Sim.在药物产品开发中的胃肠道药物吸收的计算预测:机制吸收模型 GI-Sim 的应用。
Eur J Pharm Sci. 2013 Jul 16;49(4):679-98. doi: 10.1016/j.ejps.2013.05.019. Epub 2013 May 29.
6
Regional intestinal drug permeation: biopharmaceutics and drug development.区域肠道药物渗透:生物药剂学与药物开发
Eur J Pharm Sci. 2014 Jun 16;57:333-41. doi: 10.1016/j.ejps.2013.08.025. Epub 2013 Aug 27.
7
IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with improved data and modelling strategies.IMI - 口腔生物药剂学工具项目 - 自下而上 PBPK 预测成功评估第 4 部分:改进数据和建模策略下的预测准确性和软件比较。
Eur J Pharm Biopharm. 2020 Nov;156:50-63. doi: 10.1016/j.ejpb.2020.08.006. Epub 2020 Aug 14.
8
Current status and future opportunities for incorporation of dissolution data in PBPK modeling for pharmaceutical development and regulatory applications: OrBiTo consortium commentary.在药物开发和监管应用的 PBPK 建模中纳入溶出数据的现状和未来机遇:OrBiTo 联盟评论。
Eur J Pharm Biopharm. 2020 Oct;155:55-68. doi: 10.1016/j.ejpb.2020.08.005. Epub 2020 Aug 8.
9
Early pharmaceutical profiling to predict oral drug absorption: current status and unmet needs.预测口服药物吸收的早期药物特征分析:现状与未满足的需求
Eur J Pharm Sci. 2014 Jun 16;57:173-99. doi: 10.1016/j.ejps.2013.10.015. Epub 2013 Nov 9.
10
In vitro models for the prediction of in vivo performance of oral dosage forms: Recent progress from partnership through the IMI OrBiTo collaboration.用于预测口服剂型体内性能的体外模型:通过 IMI OrBiTo 合作的伙伴关系取得的最新进展。
Eur J Pharm Biopharm. 2019 Mar;136:70-83. doi: 10.1016/j.ejpb.2018.12.010. Epub 2018 Dec 20.

引用本文的文献

1
Double Peaking Phenomena in Pharmacokinetic Disposition Revisited.重新审视药代动力学处置中的双峰现象。
Clin Pharmacokinet. 2025 Aug 13. doi: 10.1007/s40262-025-01559-4.
2
Harnessing Real-Time UV Imaging and Convolutional Neural Networks (CNNs): Unlocking New Opportunities for Empirical In Vitro-In Vivo Relationship Modelling.利用实时紫外线成像和卷积神经网络(CNN):为经验性体外-体内关系建模开启新机遇。
Pharmaceutics. 2025 May 31;17(6):728. doi: 10.3390/pharmaceutics17060728.
3
Vascularized skin tissue models featuring adipose cell spheroid-laden GelMA hydrogels.
具有负载脂肪细胞球体的甲基丙烯酰化明胶(GelMA)水凝胶的血管化皮肤组织模型。
Mater Today Bio. 2025 May 5;32:101835. doi: 10.1016/j.mtbio.2025.101835. eCollection 2025 Jun.
4
Assessment of clot-lysing and membrane-stabilizing capacity of ascorbic acid: approach with molecular docking.抗坏血酸的溶栓和膜稳定能力评估:分子对接方法
Toxicol Rep. 2024 Nov 26;13:101831. doi: 10.1016/j.toxrep.2024.101831. eCollection 2024 Dec.
5
Characterizing interregional differences in the rheological properties and composition of rat small intestinal mucus.表征大鼠小肠黏液流变学特性和组成的区域性差异。
Drug Deliv Transl Res. 2024 Nov;14(11):3309-3320. doi: 10.1007/s13346-024-01574-1. Epub 2024 Mar 25.
6
Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration.模型指导的药物研发:口服和经皮给药后药物生物性能的计算机模拟评估
Pharmaceuticals (Basel). 2024 Jan 30;17(2):177. doi: 10.3390/ph17020177.
7
The Dynamic Intestinal Absorption Model (Diamod®), an tool to study the interconnected kinetics of gastrointestinal solubility, supersaturation, precipitation, and intestinal permeation processes of oral drugs.动态肠道吸收模型(Diamod®),一种用于研究口服药物胃肠道溶解性、过饱和、沉淀及肠道渗透过程相互关联动力学的工具。
Int J Pharm X. 2023 Mar 7;5:100177. doi: 10.1016/j.ijpx.2023.100177. eCollection 2023 Dec.
8
Development of a Discriminative Dissolution Method, Using In-Silico Tool for Hydrochlorothiazide and Valsartan Tablets.使用计算机模拟工具开发氢氯噻嗪和缬沙坦片的鉴别溶出方法。
Pharmaceutics. 2023 Jun 14;15(6):1735. doi: 10.3390/pharmaceutics15061735.
9
Harmonizing Biopredictive Methodologies Through the Product Quality Research Institute (PQRI) Part I: Biopredictive Dissolution of Ibuprofen and Dipyridamole Tablets.通过产品质量研究院(PQRI)协调生物预测方法学 第一部分:布洛芬和双嘧达莫片剂的生物预测溶出度。
AAPS J. 2023 Apr 21;25(3):45. doi: 10.1208/s12248-023-00793-7.
10
Multi-Compartmental Dissolution Method, an Efficient Tool for the Development of Enhanced Bioavailability Formulations Containing Poorly Soluble Acidic Drugs.多室溶出方法,一种用于开发含难溶性酸性药物的高生物利用度制剂的有效工具。
Pharmaceutics. 2023 Feb 24;15(3):753. doi: 10.3390/pharmaceutics15030753.