Cited by 1,015SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approachesImmune responses and vaccinations

Immunological considerations for COVID-19 vaccine strategies

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Jeyanathan, Mangalakumari, Afkhami, Sam, Smaill, Fiona, Miller, Matthew S., Lichty, Brian D., Xing, Zhou·2020·Nature Reviews Immunology

Abstract

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the most formidable challenge to humanity in a century. It is widely believed that prepandemic normalcy will never return until a safe and effective vaccine strategy becomes available and a global vaccination programme is implemented successfully. Here, we discuss the immunological principles that need to be taken into consideration in the development of COVID-19 vaccine strategies. On the basis of these principles, we examine the current COVID-19 vaccine candidates, their strengths and potential shortfalls, and make inferences about their chances of success. Finally, we discuss the scientific and practical challenges that will be faced in the process of developing a successful vaccine and the ways in which COVID-19 vaccine strategies may evolve over the next few years.

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  1. [18]Zhou R Acute SARS-CoV-2 infection impairs dendritic cell and T cell responses Immunity 2020 53 1 14 10.1016/j.immuni.2020.06.012 32791036 PMC7402670 · DOI
  2. [67]Chakraborty S Symptomatic SARS-CoV-2 infections display specific IgG Fc structures medRxiv 2020 10.1101/2020.05.15.20103341 32511463 PMC7252581 · DOI
  3. [105]Cross, R. CanSino publishes first COVID-19 vaccine data to muted response. Chemical & Engineering News https://cen.acs.org/pharmaceuticals/vaccines/CanSino-publishes-first-COVID-19/98/i21 (2020).
  4. [118]Case JB Replication-competent vesicular stomatitis virus vaccine vector protects against SARS-CoV-2-mediated pathogenesis in mice Cell Host Microbe 2020 10.1016/j.chom.2020.07.018 32798445 PMC7391951 · DOI
  5. [145]Corbett KS SARS-CoV-2 mRNA vaccine design enabled by prototype pathogen preparedness Nature 2020 10.1038/s41586-020-2622-0 32756549 PMC7581537 · DOI · Paper page
  6. [187]Zhao X Broad and differential animal ACE2 receptor usage by SARS-CoV-2 J. Virol. 2020 10.1128/JVI.00940-20 32661139 PMC7459545 · DOI

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Authors
Jeyanathan, M., Afkhami, S., Smaill, F., Miller, M. S., Lichty, B. D., & Xing, Z.
Affiliations
  • Michael G. DeGroote Institute for Infectious Disease Research (CA)
  • McMaster University (CA)
Corresponding author
  • Lichty, Brian D.
  • Xing, Zhou
Venue
Nature Reviews Immunology
Published
2020-09-04
Volume
20
Issue
10
Pages
615-632
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W3082102108
Cited by
1,015
References
178
Citations by year
2026: 12 · 2025: 53 · 2024: 74 · 2023: 166 · 2022: 246 · 2021: 413 · 2020: 50
FWCI
10.25
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Immunology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • McMaster University
  • National Sanitarium Association
  • Government of Ontario
  • Canadian Institutes of Health Research (COVID-19 Rapid Research, COVID-19)
  • Natural Sciences and Engineering Research Council of Canada
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
  • Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
Keywords
COVID-19 vaccine development, SARS-CoV-2, vaccine candidate, vaccine efficacy, coronavirus vaccines
MeSH terms
Immunogenicity, Vaccine, Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Vaccines, Antibodies, Viral, Clinical Trials as Topic, Genetic Vectors, Humans, Immunity, Innate, Immunization Schedule, Pneumonia, Viral, Vaccines, Attenuated, Viral Vaccines, Coronavirus Infections, Vaccines, DNA, Vaccines, Subunit, Immunity, Herd, Severe Acute Respiratory Syndrome, Vaccines, Virus-Like Particle, Pandemics, Patient Safety

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