Literature DB >> 34600051

Predictive modeling for assessing the long-term thermal stability of a new fully-liquid quadrivalent meningococcal tetanus toxoid conjugated vaccine.

Christophe Neyra1, Didier Clénet2, Marcia Bright3, Richard Kensinger4, Steven Hauser5.   

Abstract

Establishing product stability is critical for pharmaceuticals. We used a modeling approach to predict the thermal stability of a fully-liquid quadrivalent meningococcal (serogroups A, C, W, Y) conjugate vaccine (MenACYW-TT; MenQuadfi®) at potential transportation and storage temperatures. Vaccine degradation was determined by measuring the rate of hydrolysis through an increase of free polysaccharide (de-conjugated or unconjugated polysaccharide) content during six months storage at 25 °C, 45 °C and 56 °C. A procedure combining advanced kinetics and statistics was used to screen and compare kinetic models describing observed free polysaccharide increase as a function of time and temperature for each serogroup. Statistical analyses were used to quantify prediction accuracy. A two-step kinetic model described the increase in free polysaccharide content for serogroup A; whereas, one-step kinetic models were found suitable to describe the other serogroups. The models were used to predict free polysaccharide increases for each serogroup during long-term storage under recommended conditions (2-8 °C), and during temperature excursions to 25 °C or 40 °C. In both cases, serogroup-specific simulations accurately predict the respective observed experimental data. Experimental data collected to 48 months at 5 °C were within 99% predictive bands. The models described here can be used with confidence to establish shelf-life for this fully-liquid quadrivalent meningococcal conjugate vaccine; as well as, monitor in real-time free polysaccharide increase for vaccines experiencing temperature excursions during shipment/storage.
Copyright © 2021 Sanofi Pasteur. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerated predictive stability; Advanced kinetic modeling; Conjugate vaccine; Forced degradation; Meningococcal; Modeling

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Year:  2021        PMID: 34600051     DOI: 10.1016/j.ijpharm.2021.121143

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  2 in total

1.  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

2.  Preclinical development of the quadrivalent meningococcal (ACYW) tetanus toxoid conjugate vaccine, MenQuadfi®.

Authors:  Richard Kensinger; Arun B Arunachalam
Journal:  Glycoconj J       Date:  2022-04-20       Impact factor: 3.009

  2 in total

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