Application of Traditional Vaccine Development Strategies to SARS-CoV-2.


Journal

mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636

Informations de publication

Date de publication:
27 04 2023
Historique:
medline: 4 5 2023
pubmed: 3 3 2023
entrez: 2 3 2023
Statut: ppublish

Résumé

Over the past 150 years, vaccines have revolutionized the relationship between people and disease. During the COVID-19 pandemic, technologies such as mRNA vaccines have received attention due to their novelty and successes. However, more traditional vaccine development platforms have also yielded important tools in the worldwide fight against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A variety of approaches have been used to develop COVID-19 vaccines that are now authorized for use in countries around the world. In this review, we highlight strategies that focus on the viral capsid and outwards, rather than on the nucleic acids inside. These approaches fall into two broad categories: whole-virus vaccines and subunit vaccines. Whole-virus vaccines use the virus itself, in either an inactivated or an attenuated state. Subunit vaccines contain instead an isolated, immunogenic component of the virus. Here, we highlight vaccine candidates that apply these approaches against SARS-CoV-2 in different ways. In a companion article (H. M. Rando, R. Lordan, L. Kolla, E. Sell, et al., mSystems 8:e00928-22, 2023, https://doi.org/10.1128/mSystems.00928-22), we review the more recent and novel development of nucleic acid-based vaccine technologies. We further consider the role that these COVID-19 vaccine development programs have played in prophylaxis at the global scale. Well-established vaccine technologies have proved especially important to making vaccines accessible in low- and middle-income countries. Vaccine development programs that use established platforms have been undertaken in a much wider range of countries than those using nucleic acid-based technologies, which have been led by wealthy Western countries. Therefore, these vaccine platforms, though less novel from a biotechnological standpoint, have proven to be extremely important to the management of SARS-CoV-2.

Identifiants

pubmed: 36861991
doi: 10.1128/msystems.00927-22
pmc: PMC10134813
doi:

Substances chimiques

COVID-19 Vaccines 0
Viral Vaccines 0
Vaccines, Subunit 0
Nucleic Acid-Based Vaccines 0

Types de publication

Journal Article Review Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0092722

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG010067
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM007170
Pays : United States

Commentaires et corrections

Type : UpdateOf

Auteurs

Halie M Rando (HM)

Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, USA.
Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA.

Ronan Lordan (R)

Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA.

Alexandra J Lee (AJ)

Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Amruta Naik (A)

Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Nils Wellhausen (N)

Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Elizabeth Sell (E)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA.

Likhitha Kolla (L)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA.

Anthony Gitter (A)

Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Morgridge Institute for Research, Madison, Wisconsin, USA.

Casey S Greene (CS)

Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, USA.
Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, Philadelphia, Pennsylvania, USA.

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Classifications MeSH