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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

In vivo–In Vitro correlation (IVIVC) in drug development: bridging preclinical and clinical outcomes for regulatory approvals

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  • In vivo–In Vitro correlation (IVIVC) in drug development: bridging preclinical and clinical outcomes for regulatory approvals

Rohankumar Patel * and Ankur Patel

Research Scientist III, Analytical R&D, Amneal Pharmaceuticals, NJ, USA.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(02), 2311-2328
Article DOI: 10.30574/wjarr.2024.22.2.1197
DOI url: https://doi.org/10.30574/wjarr.2024.22.2.1197
 
Received on 11 March 2024; revised on 20 May 2024; accepted on 24 May 2024
 
The pharmacological discipline of In vivo–In Vitro Correlation (IVIVC) plays a crucial role in drug development, creating essential relationships to forecast in vivo PK results from measuring In Vitro drug release profiles. IVIVC models not only prove essential for formulating drugs properly but also significantly reduce time and costs during regulatory processes, thereby limiting extensive clinical testing requirements. These models can predict live performance outcomes through laboratory results, leading to consistent therapeutic outcomes between different medications.
The relation between In Vitro and in vivo data determines IVIVC level classification which includes Levels A, B, C and multiple Level C. Level A IVIVC represents the most accurate predictive tool because it establishes direct mathematical links between dissolution data and PK parameters. The U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) not only permit IVIVC as an important development tool for formulation approval but also provide validation and practical implementation standards, instilling confidence in its regulatory acceptance.
The development process for IVIVCs faces multiple difficulties which include variations in biological statuses and intricate drug-release systems as well as reduced predictive precision for select drug formulations. However, the advancement of computational modeling and biorelevant dissolution testing with machine learning techniques is leading to the enhancement of IVIVC methodology development. Excitingly, future investigations are attempting to make IVIVC more effective for usage in difficult drug formulations such as extended-release medications and drugs that belong to BCS Groups II and IV, promising potential advancements in IVIVC. 
 
In vivo–In Vitro Correlation (Ivivc); Drug Development, Pharmacokinetics (Pk); Regulatory Approvals; Dissolution Testing, Bioavailability; Modified-Release (Mr) Formulations
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-1197.pdf

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Rohankumar Patel and Ankur Patel. In vivo–In Vitro correlation (IVIVC) in drug development: bridging preclinical and clinical outcomes for regulatory approvals. World Journal of Advanced Research and Reviews, 2024, 22(2), 2311-2328. Article DOI: https://doi.org/10.30574/wjarr.2024.22.2.1197

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