Literature DB >> 33927197

Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases.

Damien van de Berg1, Zoltán Kis1, Carl Fredrik Behmer1, Karnyart Samnuan2, Anna K Blakney2,3, Cleo Kontoravdi1, Robin Shattock2, Nilay Shah4.   

Abstract

Rapid-response vaccine production platform technologies, including RNA vaccines, are being developed to combat viral epidemics and pandemics. A key enabler of rapid response is having quality-oriented disease-agnostic manufacturing protocols ready ahead of outbreaks. We are the first to apply the Quality by Design (QbD) framework to enhance rapid-response RNA vaccine manufacturing against known and future viral pathogens. This QbD framework aims to support the development and consistent production of safe and efficacious RNA vaccines, integrating a novel qualitative methodology and a quantitative bioprocess model. The qualitative methodology identifies and assesses the direction, magnitude and shape of the impact of critical process parameters (CPPs) on critical quality attributes (CQAs). The mechanistic bioprocess model quantifies and maps the effect of four CPPs on the CQA of effective yield of RNA drug substance. Consequently, the first design space of an RNA vaccine synthesis bioreactor is obtained. The cost-yield optimization together with the probabilistic design space contribute towards automation of rapid-response, high-quality RNA vaccine production.

Entities:  

Year:  2021        PMID: 33927197     DOI: 10.1038/s41541-021-00322-7

Source DB:  PubMed          Journal:  NPJ Vaccines        ISSN: 2059-0105            Impact factor:   7.344


  8 in total

1.  A guide on how to work in vaccine science.

Authors:  Nic Fleming
Journal:  Nature       Date:  2021-11       Impact factor: 49.962

2.  Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK.

Authors:  Dauda Ibrahim; Zoltán Kis; Kyungjae Tak; Maria M Papathanasiou; Cleo Kontoravdi; Benoît Chachuat; Nilay Shah
Journal:  Vaccines (Basel)       Date:  2021-12-10

Review 3.  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 4.  Next generation self-replicating RNA vectors for vaccines and immunotherapies.

Authors:  Parinaz Aliahmad; Shigeki J Miyake-Stoner; Andrew J Geall; Nathaniel S Wang
Journal:  Cancer Gene Ther       Date:  2022-02-22       Impact factor: 5.854

5.  Pandemic-response adenoviral vector and RNA vaccine manufacturing.

Authors:  Zoltán Kis; Kyungjae Tak; Dauda Ibrahim; Maria M Papathanasiou; Benoît Chachuat; Nilay Shah; Cleo Kontoravdi
Journal:  NPJ Vaccines       Date:  2022-03-02       Impact factor: 7.344

6.  Development of process analytical tools for rapid monitoring of live virus vaccines in manufacturing.

Authors:  Sijia Yi; Reilly McCracken; Joseph Davide; Daniel Ryan Salovich; Travis Whitmer; Aditya Bhat; Josef Vlasak; Sha Ha; Darrell Sehlin; Joseph Califano; Kristin Ploeger; Malini Mukherjee
Journal:  Sci Rep       Date:  2022-09-15       Impact factor: 4.996

Review 7.  Transcriptomics and RNA-Based Therapeutics as Potential Approaches to Manage SARS-CoV-2 Infection.

Authors:  Cristian Arriaga-Canon; Laura Contreras-Espinosa; Rosa Rebollar-Vega; Rogelio Montiel-Manríquez; Alberto Cedro-Tanda; José Antonio García-Gordillo; Rosa María Álvarez-Gómez; Francisco Jiménez-Trejo; Clementina Castro-Hernández; Luis A Herrera
Journal:  Int J Mol Sci       Date:  2022-09-21       Impact factor: 6.208

8.  Maximizing mRNA vaccine production with Bayesian optimization.

Authors:  Sara Sousa Rosa; Davide Nunes; Luis Antunes; Duarte M F Prazeres; Marco P C Marques; Ana M Azevedo
Journal:  Biotechnol Bioeng       Date:  2022-09-05       Impact factor: 4.395

  8 in total

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