Literature DB >> 25896303

Applications of In Vitro-In Vivo Correlations in Generic Drug Development: Case Studies.

Paramjeet Kaur1, Xiaojian Jiang, John Duan, Ethan Stier.   

Abstract

In vitro-in vivo correlation (IVIVC) is a predictive mathematical model describing the relationship between an in vitro property and a relevant in vivo response. The main objective of an IVIVC is to serve as a surrogate for human bioequivalence (BE) studies, which may reduce the number of BE studies performed during the initial approval process as well as with certain scale-up and postapproval changes. The US Food and Drug Administration (FDA) published a regulatory guidance related to development, evaluation, and applications of IVIVC for extended-release (ER) oral dosage forms in September 1997. Despite the publication of this guidance, the deficiencies related to IVIVC are still identified by the Division of Bioequivalence in the process of Abbreviated New Drug Application (ANDA) review. Thus, the main objective of this article is to present the most commonly occurring deficiencies associated with IVIVCs via selected case studies from the ANDAs for oral ER drug products only. We searched internal FDA databases from January 1996 to December 2014 to identify the ANDAs for proposed generic oral ER drug products containing IVIVC. Only 14 ANDA submissions had IVIVC data, and most were not acceptable. Only one ANDA submission included adequate information related to IVIVC data enabling the completion of BE review within first review cycle. It is hoped that awareness of the deficiencies presented in our article would help the generic drug applicants to submit complete and appropriate information related to IVIVC data, ultimately, resulting in a more timely approval of ANDAs.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25896303      PMCID: PMC4476988          DOI: 10.1208/s12248-015-9765-1

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  4 in total

1.  Application of in vitro-in vivo correlations (IVIVC) in setting formulation release specifications.

Authors:  N B Modi; A Lam; E Lindemulder; B Wang; S K Gupta
Journal:  Biopharm Drug Dispos       Date:  2000-11       Impact factor: 1.627

2.  Regulatory perspectives on in vitro (dissolution)/in vivo (bioavailability) correlations.

Authors:  V R Uppoor
Journal:  J Control Release       Date:  2001-05-14       Impact factor: 9.776

3.  In vitro - in vivo correlation: from theory to applications.

Authors:  Jaber Emami
Journal:  J Pharm Pharm Sci       Date:  2006       Impact factor: 2.327

4.  In vitro- in vivo correlation's dissolution limits setting.

Authors:  B Roudier; B M Davit; E Beyssac; J-M Cardot
Journal:  Pharm Res       Date:  2014-03-28       Impact factor: 4.200

  4 in total
  6 in total

Review 1.  In vitro-in vivo correlation for complex non-oral drug products: Where do we stand?

Authors:  Jie Shen; Diane J Burgess
Journal:  J Control Release       Date:  2015-09-28       Impact factor: 9.776

Review 2.  Regulatory Perspectives on Strength-Dependent Dissolution Profiles and Biowaiver Approaches for Immediate Release (IR) Oral Tablets in New Drug Applications.

Authors:  Sandra Suarez-Sharp; Poonam R Delvadia; Angelica Dorantes; John Duan; Anna Externbrink; Zongming Gao; Tapash Ghosh; Sarah Pope Miksinski; Paul Seo
Journal:  AAPS J       Date:  2016-02-29       Impact factor: 4.009

3.  In Vitro-In Vivo Correlation of Tianeptine Sodium Sustained-Release Dual-Layer Tablets.

Authors:  Ye-Ji Lee; Joo-Eun Kim
Journal:  Molecules       Date:  2022-04-29       Impact factor: 4.927

4.  Raloxifene-loaded SLNs with enhanced biopharmaceutical potential: QbD-steered development, in vitro evaluation, in vivo pharmacokinetics, and IVIVC.

Authors:  Atul Jain; Teenu Sharma; Rajendra Kumar; O P Katare; Bhupinder Singh
Journal:  Drug Deliv Transl Res       Date:  2021-05-08       Impact factor: 4.617

Review 5.  Leveraging model-informed approaches for drug discovery and development in the cardiovascular space.

Authors:  Marissa F Dockendorf; Ryan C Vargo; Ferdous Gheyas; Anne S Y Chain; Manash S Chatterjee; Larissa A Wenning
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-01-20       Impact factor: 2.745

6.  Optimization of Dissolution Compartments in a Biorelevant Dissolution Apparatus Golem v2, Supported by Multivariate Analysis.

Authors:  Ivan Stupák; Sylvie Pavloková; Jakub Vysloužil; Jiří Dohnal; Martin Čulen
Journal:  Molecules       Date:  2017-11-23       Impact factor: 4.411

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.