Literature DB >> 25139388

Advanced kinetic analysis as a tool for formulation development and prediction of vaccine stability.

Didier Clénet1, Frédéric Imbert, Patricia Probeck, Nausheen Rahman, Salvador F Ausar.   

Abstract

We have used a protein-based vaccine, a live virus vaccine, and an experimental adjuvant to evaluate the utility of an advanced kinetic modeling approach for stability prediction. The modeling approach uses a systematic and simple procedure for the selection of the most appropriate kinetic equation to describe the degradation rate of compounds subjected to accelerated conditions. One-step and two-step reactions with unlimited combinations of kinetic models were screened for the three products under evaluation. The most appropriate mathematical model for a given product was chosen based on the values of residual sum of squares and the weight parameter w. A relatively simple n-th order kinetic model best fitted the degradation of an adjuvanted protein vaccine with a prediction error lower than 10%. A more complex two-step model was required to describe inactivation of a live virus vaccine under normal and elevated storage temperatures. Finally, an autocatalytic-type kinetic model best fitted the degradation of an oil-in-water adjuvant formulation. The modeling approach described here could be used for vaccine stability prediction, expiry date estimation, and formulation selection. To the best of our knowledge, this is the first report describing a global kinetic analysis of degradation of vaccine components with high prediction accuracy.
© 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  Mathematical models; forced conditions; formulation; kinetics; stability; vaccines

Mesh:

Substances:

Year:  2014        PMID: 25139388     DOI: 10.1002/jps.24117

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  5 in total

1.  Continuous Monitoring of Shelf Lives of Materials by Application of Data Loggers with Implemented Kinetic Parameters.

Authors:  Bertrand Roduit; Charles Albert Luyet; Marco Hartmann; Patrick Folly; Alexandre Sarbach; Alain Dejeaifve; Rowan Dobson; Nicolas Schroeter; Olivier Vorlet; Michal Dabros; Richard Baltensperger
Journal:  Molecules       Date:  2019-06-13       Impact factor: 4.411

Review 2.  Stability Modelling of mRNA Vaccine Quality Based on Temperature Monitoring throughout the Distribution Chain.

Authors:  Zoltán Kis
Journal:  Pharmaceutics       Date:  2022-02-17       Impact factor: 6.321

Review 3.  How to accelerate the supply of vaccines to all populations worldwide? Part II: Initial industry lessons learned and detailed technical reflections leveraging the COVID-19 situation.

Authors:  Mic McGoldrick; Thierry Gastineau; Diane Wilkinson; Cristiana Campa; Norbert De Clercq; Andrea Mallia-Milanes; Olivier Germay; Jyothsna Krishnan; M Van Ooij; Michael P Thien; Peter J Mlynarczyk; Edward Saltus; Florence Wauters; Philippe Juvin; Didier Clenet; Ana Basso; Nora Dellepiane; Sonia Pagliusi; Monique Collaço de Moraes Stávale; Venkatraman H Sivaramakrishnan; Samir Desai
Journal:  Vaccine       Date:  2022-02-23       Impact factor: 3.641

4.  Long-Term Stability Prediction for Developability Assessment of Biopharmaceutics Using Advanced Kinetic Modeling.

Authors:  Andreas Evers; Didier Clénet; Stefania Pfeiffer-Marek
Journal:  Pharmaceutics       Date:  2022-02-08       Impact factor: 6.321

Review 5.  Development of thermostable vaccine adjuvants.

Authors:  Yizhi Qi; Christopher B Fox
Journal:  Expert Rev Vaccines       Date:  2021-06-26       Impact factor: 5.683

  5 in total

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