| Literature DB >> 33850138 |
Gautam Sanyal1, Anna Särnefält2, Arun Kumar2.
Abstract
The COVID-19 pandemic has prompted hundreds of laboratories around the world to employ traditional as well as novel technologies to develop vaccines against SARS-CoV-2. The hallmarks of a successful vaccine are safety and efficacy. Analytical evaluation methods, that can ensure the high quality of the products and that can be executed speedily, must be in place as an integral component of Chemistry, Manufacturing, and Control (CMC). These methods or assays are developed to quantitatively test for critical quality attributes (CQAs) of a vaccine product. While clinical (human) efficacy of a vaccine can never be predicted from pre-clinical evaluation of CQA, precise and accurate measurements of antigen content and a relevant biological activity (termed "potency") elicited by the antigen allow selection of potentially safe and immunogenic doses for entry into clinical trials. All available vaccine technology platforms, novel and traditional, are being utilized by different developers to produce vaccines against SARS-CoV-2. It took less than a year from the publication of SARS-CoV-2 gene sequence to Emergency Use Authorization (EUA) of the first vaccine, setting a record for speed in the history of vaccine development. The largest ever global demand for vaccines has prompted some vaccine developers to enter multiple manufacturing partnerships in different countries in addition to implementing unprecedented scale-up plans. Quantitative, robust, and rapid analytical testing for CQA of a product is essential in ensuring smooth technology transfer between partners and allowing analytical bridging between vaccine batches used in different clinical phases leading up to regulatory approvals and commercialization. We discuss here opportunities to improve the speed and quality of the critical batch release and characterization assays.Entities:
Year: 2021 PMID: 33850138 PMCID: PMC8044082 DOI: 10.1038/s41541-021-00317-4
Source DB: PubMed Journal: NPJ Vaccines ISSN: 2059-0105 Impact factor: 7.344
Fig. 1Landscape of target antigens included in COVID-19 vaccine development.
The number of projects is shown for each target antigen. Different platform technologies being used are coded with different colors as defined in the inset.
Analytical methods typically used for in vitro vaccine potency determination.
| Platform | Recombinant protein | Inactivated virus | LAV | Viral vector | mRNA | pDNA |
|---|---|---|---|---|---|---|
| Content | Optical density | Single-radial-immunodiffusion (SRID) | RT-PCR (qPCR, ddPCR) | DNA hybridization | Optical density | Optical density |
| BCA | ELISA | Nanoparticle Tracking Analysis (NTA) | RT-PCR (qPCR, ddPCR) | RT-PCR | RT-PCR | |
| HPLC | Optical density | Fluorescent nucleic acid stain | Fluorescent nucleic acid stain | |||
| Nanoparticle Tracking Analysis (NTA) | ELISA | |||||
| HPLC | ||||||
| Transgene expression | Immunostaining | n/a | n/a | qPCR/Spectroscopy | Transcription assay | Transcription assay |
| Affinity | ELISA | ELISA | ELISA | |||
| Flow cytometry | Flow cytometry | Flow cytometry | ||||
| Functional viral titer (Infectivity) | n/a | n/a (However, loss of infectivity should be shown) | TCID50 | TCID50 | n/a | n/a |
| Plaque assays | Plaque assays | |||||
| ELISA | RT-PCR (qPCR-based potency assay - QPA) | |||||
| Flow cytometry | ELISA | |||||
| Fluorescent focus assay (FFA) | Flow cytometry | |||||
| Fluorescent focus assay (FFA) |