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

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 app...

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Autores principales: Damien van de Berg, Zoltán Kis, Carl Fredrik Behmer, Karnyart Samnuan, Anna K. Blakney, Cleo Kontoravdi, Robin Shattock, Nilay Shah
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/07c8cff71bf445a6a6254505e668c398
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spelling oai:doaj.org-article:07c8cff71bf445a6a6254505e668c3982021-12-02T17:39:30ZQuality by design modelling to support rapid RNA vaccine production against emerging infectious diseases10.1038/s41541-021-00322-72059-0105https://doaj.org/article/07c8cff71bf445a6a6254505e668c3982021-04-01T00:00:00Zhttps://doi.org/10.1038/s41541-021-00322-7https://doaj.org/toc/2059-0105Abstract 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.Damien van de BergZoltán KisCarl Fredrik BehmerKarnyart SamnuanAnna K. BlakneyCleo KontoravdiRobin ShattockNilay ShahNature PortfolioarticleImmunologic diseases. AllergyRC581-607Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Vaccines, Vol 6, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Immunologic diseases. Allergy
RC581-607
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Immunologic diseases. Allergy
RC581-607
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Damien van de Berg
Zoltán Kis
Carl Fredrik Behmer
Karnyart Samnuan
Anna K. Blakney
Cleo Kontoravdi
Robin Shattock
Nilay Shah
Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases
description 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.
format article
author Damien van de Berg
Zoltán Kis
Carl Fredrik Behmer
Karnyart Samnuan
Anna K. Blakney
Cleo Kontoravdi
Robin Shattock
Nilay Shah
author_facet Damien van de Berg
Zoltán Kis
Carl Fredrik Behmer
Karnyart Samnuan
Anna K. Blakney
Cleo Kontoravdi
Robin Shattock
Nilay Shah
author_sort Damien van de Berg
title Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases
title_short Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases
title_full Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases
title_fullStr Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases
title_full_unstemmed Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases
title_sort quality by design modelling to support rapid rna vaccine production against emerging infectious diseases
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/07c8cff71bf445a6a6254505e668c398
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