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An Overview of Current Accomplishments and Gaps of COVID-19 Vaccine Platforms and Considerations for Next Generation Vaccines

Vaccines against SARS-CoV-2 have transformed the course of the COVID-19 pandemic with more than 30 authorizations. More than 2 billion people have been vaccinated with these vaccines developed on very different manufacturing platforms. We have reviewed the unprecedented work done in various aspects...

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Detalles Bibliográficos
Autores principales: Kale, Akanksha, Gaur, Amitabh, Menon, Ipshita, Chirmule, Narendra, Bagwe, Priyal, Jawa, Rayan, Vijayanand, Sharon, Patil, Smital, Suresh, Surekha, Jawa, Vibha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Pharmacists Association. Published by Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891786/
https://www.ncbi.nlm.nih.gov/pubmed/36736775
http://dx.doi.org/10.1016/j.xphs.2023.01.019
Descripción
Sumario:Vaccines against SARS-CoV-2 have transformed the course of the COVID-19 pandemic with more than 30 authorizations. More than 2 billion people have been vaccinated with these vaccines developed on very different manufacturing platforms. We have reviewed the unprecedented work done in various aspects of the authorized vaccines and listed three potential improvements: 1) long-term stability at room-temperature conditions; 2) suitability for diverse populations such as infants, elderly, immune-compromised, and those with pre-existing or ongoing diseases; and 3) ability to act against different strains. In this article, we have discussed the current status of COVID-19 vaccines with respect to 1) diversity (strength and breadth) of initial immune responses and long-term immune memory; 2) prime-boost combinations that induce protection against variants; and 3) breakthrough infections. Further, we have listed host, product (critical quality attributes), and viral pathogenic factors that contribute to safety, efficacy, and effectiveness of vaccines. In addition, we have elaborated on the potential to (develop models and) determine the immune correlates that can predict long-term immune memory. The graphical representation of the abstract is provided as Fig. 1.