• 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

使用体外溶出度结合STELLA预测体内药物性能:对选定药品的研究

Prediction of in vivo drug performance using in vitro dissolution coupled with STELLA: a study with selected drug products.

作者信息

Chakraborty Sumon, Yadav Lokesh, Aggarwal Deepika

机构信息

a Centre of Excellence-Biostudies , Integrated Product Development Organization, Dr. Reddy's Laboratories , Hyderabad , Andhra Pradesh , India.

出版信息

Drug Dev Ind Pharm. 2015;41(10):1667-73. doi: 10.3109/03639045.2014.991399. Epub 2014 Dec 12.

DOI:10.3109/03639045.2014.991399
PMID:25494535
Abstract

Prediction of the in vivo performance of the drug product from the in vitro studies is the major challenging job for the pharmaceutical industries. From the current regulatory perspective, biorelevant dissolution media should now be considered as quality control media in order to avoid the risk associated. Physiological based pharmacokinetic models (PBPK) coupled with biorelevant dissolution medium is widely used in simulation and prediction of the plasma drug concentration and in vivo drug performance. The present investigation deals with the evaluation of biorelevant dissolution media as well as in vivo drug performance by PBPK modelling using STELLA® simulation software. The PBPK model was developed using STELLA® using dissolution kinetics, solubility, standard gastrointestinal parameters and post-absorptive disposition parameters. The drug product selected for the present study includes Linezolid film-coated immediate-release tablets (Zyvox), Tacrolimus prolonged-release capsules (Advagraf), Valganciclovir tablets (Valcyte) and Mesalamine controlled-release capsules (Pentasa) each belonging to different biopharmaceutics classification system (BCS). The simulated plasma drug concentration was analyzed and pharmacokinetic parameters were calculated and compared with the reported values. The result from the present investigation indicates that STELLA® when coupled with biorelevant dissolution media can predict the in vivo performance of the drug product with prediction error less than 20% irrespective of the dosage form (immediate release versus modified release) and BCS Classification. Thus, STELLA® can be used for in vivo drug prediction which will be helpful in generic drug development.

摘要

从体外研究预测药品的体内性能是制药行业面临的主要挑战性工作。从当前的监管角度来看,生物相关溶出介质现在应被视为质量控制介质,以避免相关风险。基于生理的药代动力学模型(PBPK)与生物相关溶出介质相结合,被广泛用于模拟和预测血浆药物浓度及体内药物性能。本研究通过使用STELLA®模拟软件的PBPK建模来评估生物相关溶出介质以及体内药物性能。使用STELLA®基于溶出动力学、溶解度、标准胃肠道参数和吸收后处置参数开发了PBPK模型。本研究选择的药品包括利奈唑胺薄膜包衣速释片(Zyvox)、他克莫司缓释胶囊(Advagraf)、缬更昔洛韦片(Valcyte)和美沙拉嗪控释胶囊(Pentasa),它们分别属于不同的生物药剂学分类系统(BCS)。分析模拟的血浆药物浓度,计算药代动力学参数并与报告值进行比较。本研究结果表明,当STELLA®与生物相关溶出介质结合使用时,无论剂型(速释与缓释)和BCS分类如何,都能预测药品的体内性能,预测误差小于20%。因此,STELLA®可用于体内药物预测,这将有助于仿制药开发。

相似文献

1
Prediction of in vivo drug performance using in vitro dissolution coupled with STELLA: a study with selected drug products.使用体外溶出度结合STELLA预测体内药物性能:对选定药品的研究
Drug Dev Ind Pharm. 2015;41(10):1667-73. doi: 10.3109/03639045.2014.991399. Epub 2014 Dec 12.
2
Prediction of in-vivo pharmacokinetic profile for immediate and modified release oral dosage forms of furosemide using an in-vitro-in-silico-in-vivo approach.采用体外-计算机模拟-体内方法预测速尿速释和缓释口服剂型的体内药代动力学特征。
J Pharm Pharmacol. 2015 May;67(5):651-65. doi: 10.1111/jphp.12365. Epub 2015 Feb 3.
3
Understanding the in vivo performance of enteric coated tablets using an in vitro-in silico-in vivo approach: case example diclofenac.采用体内-体外-体内模拟方法理解肠溶片剂的体内性能:案例分析双氯芬酸。
Eur J Pharm Biopharm. 2013 Nov;85(3 Pt B):1337-47. doi: 10.1016/j.ejpb.2013.09.009. Epub 2013 Sep 18.
4
Prediction of food effects on the absorption of celecoxib based on biorelevant dissolution testing coupled with physiologically based pharmacokinetic modeling.基于生物相关溶解试验结合生理基于药代动力学模型预测塞来昔布的食物对吸收的影响。
Eur J Pharm Biopharm. 2009 Sep;73(1):107-14. doi: 10.1016/j.ejpb.2009.05.009. Epub 2009 May 22.
5
In vitro and in silico characterisation of Tacrolimus released under biorelevant conditions.在生物相关条件下释放的他克莫司的体外和计算特性研究。
Int J Pharm. 2016 Dec 30;515(1-2):271-280. doi: 10.1016/j.ijpharm.2016.10.020. Epub 2016 Oct 11.
6
Predicting the oral pharmacokinetic profiles of multiple-unit (pellet) dosage forms using a modeling and simulation approach coupled with biorelevant dissolution testing: case example diclofenac sodium.采用建模与模拟方法结合生物相关性溶出试验预测多单元(微丸)剂型的口服药代动力学特征:双氯芬酸钠实例
Eur J Pharm Biopharm. 2014 Jul;87(2):236-43. doi: 10.1016/j.ejpb.2014.01.007. Epub 2014 Jan 23.
7
Predicting the oral absorption of a poorly soluble, poorly permeable weak base using biorelevant dissolution and transfer model tests coupled with a physiologically based pharmacokinetic model.利用生物相关溶出和传递模型试验结合生理相关药代动力学模型预测难溶性、低渗透性弱碱性药物的口服吸收。
Eur J Pharm Biopharm. 2012 Sep;82(1):127-38. doi: 10.1016/j.ejpb.2012.05.008. Epub 2012 May 28.
8
Forecasting in vivo oral absorption and food effect of micronized and nanosized aprepitant formulations in humans.预测人体口服米氮平和纳米阿瑞匹坦制剂的体内吸收和食物效应。
Eur J Pharm Biopharm. 2010 Sep;76(1):95-104. doi: 10.1016/j.ejpb.2010.05.009. Epub 2010 Jun 1.
9
Precipitation in the small intestine may play a more important role in the in vivo performance of poorly soluble weak bases in the fasted state: case example nelfinavir.在禁食状态下,小肠中的沉淀可能在难溶性弱碱性药物的体内性能中发挥更重要的作用:以奈非那韦为例。
Eur J Pharm Biopharm. 2011 Oct;79(2):349-56. doi: 10.1016/j.ejpb.2011.04.005. Epub 2011 Apr 18.
10
In vitro biorelevant models for evaluating modified release mesalamine products to forecast the effect of formulation and meal intake on drug release.用于评估美沙拉嗪缓释产品以预测制剂和进餐对药物释放影响的体外生物相关模型。
Eur J Pharm Biopharm. 2015 Nov;97(Pt A):39-50. doi: 10.1016/j.ejpb.2015.09.002. Epub 2015 Sep 21.

引用本文的文献

1
Challenges in the Investigation of Therapeutic Equivalence of Locally Applied/Locally Acting Drugs in the Gastrointestinal Tract: The Rifaximin Case.胃肠道局部应用/局部作用药物治疗等效性研究中的挑战:利福昔明案例
Pharmaceutics. 2025 Jun 27;17(7):839. doi: 10.3390/pharmaceutics17070839.
2
Utilizing Physiologically Based Pharmacokinetic Models to Support Rational Medication in Chinese Elderly Population.利用基于生理的药代动力学模型支持中国老年人群的合理用药。
Drug Des Devel Ther. 2025 Apr 22;19:3077-3101. doi: 10.2147/DDDT.S501143. eCollection 2025.
3
Integrating In Vitro Dissolution and Physiologically Based Pharmacokinetic Modeling for Generic Drug Development: Evaluation of Amorphous Solid Dispersion Formulations for Tacrolimus.
整合体外溶出度和基于生理的药代动力学模型用于仿制药开发:他克莫司无定形固体分散体配方的评估
Pharmaceutics. 2025 Feb 10;17(2):227. doi: 10.3390/pharmaceutics17020227.
4
Investigating Tacrolimus Disposition in Paediatric Patients with a Physiologically Based Pharmacokinetic Model Incorporating CYP3A4 Ontogeny, Mechanistic Absorption and Red Blood Cell Binding.使用包含CYP3A4个体发育、机制性吸收和红细胞结合的生理药代动力学模型研究儿科患者中他克莫司的处置情况。
Pharmaceutics. 2023 Aug 29;15(9):2231. doi: 10.3390/pharmaceutics15092231.
5
In vitro Dissolution Testing of Rifampicin Powder Formulations For Prediction of Plasma Concentration-Time Profiles After Inhaled Delivery.利福平粉末制剂的体外溶出度测试预测吸入给药后的血浆浓度-时间曲线。
Pharm Res. 2023 May;40(5):1153-1163. doi: 10.1007/s11095-022-03439-z. Epub 2022 Nov 29.
6
Lost in modelling and simulation?迷失在建模与仿真中?
ADMET DMPK. 2021 Mar 22;9(2):75-109. doi: 10.5599/admet.923. eCollection 2021.
7
Understanding the Impact of Age-Related Changes in Pediatric GI Solubility by Multivariate Data Analysis.通过多变量数据分析了解儿科胃肠道溶解度中与年龄相关变化的影响。
Pharmaceutics. 2022 Feb 4;14(2):356. doi: 10.3390/pharmaceutics14020356.