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Rapid development and deployment of high-volume vaccines for pandemic response.
Kis, Zoltán; Kontoravdi, Cleo; Dey, Antu K; Shattock, Robin; Shah, Nilay.
Afiliação
  • Kis Z; Centre for Process Systems Engineering, Department of Chemical Engineering, Faculty of Engineering Imperial College London London UK.
  • Kontoravdi C; Centre for Process Systems Engineering, Department of Chemical Engineering, Faculty of Engineering Imperial College London London UK.
  • Dey AK; International AIDS Vaccine Initiative (IAVI) New York New York USA.
  • Shattock R; Department of Infectious Disease, Faculty of Medicine Imperial College London UK.
  • Shah N; Centre for Process Systems Engineering, Department of Chemical Engineering, Faculty of Engineering Imperial College London London UK.
J Adv Manuf Process ; 2(3): e10060, 2020 Jul.
Article em En | MEDLINE | ID: mdl-33977274
Overcoming pandemics, such as the current Covid-19 outbreak, requires the manufacture of several billion doses of vaccines within months. This is an extremely challenging task given the constraints in small-scale manufacturing for clinical trials, clinical testing timelines involving multiple phases and large-scale drug substance and drug product manufacturing. To tackle these challenges, regulatory processes are fast-tracked, and rapid-response manufacturing platform technologies are used. Here, we evaluate the current progress, challenges ahead and potential solutions for providing vaccines for pandemic response at an unprecedented scale and rate. Emerging rapid-response vaccine platform technologies, especially RNA platforms, offer a high productivity estimated at over 1 billion doses per year with a small manufacturing footprint and low capital cost facilities. The self-amplifying RNA (saRNA) drug product cost is estimated at below 1 USD/dose. These manufacturing processes and facilities can be decentralized to facilitate production, distribution, but also raw material supply. The RNA platform technology can be complemented by an a priori Quality by Design analysis aided by computational modeling in order to assure product quality and further speed up the regulatory approval processes when these platforms are used for epidemic or pandemic response in the future.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Adv Manuf Process Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Adv Manuf Process Ano de publicação: 2020 Tipo de documento: Article