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Cited by 466

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Cell-mediated Protection in Influenza Infection

Open access
Thomas, Paul G., Keating, Rachael, Hulse-Post, Diane J., Doherty, Peter C.·2006·Emerging Infectious Diseases
DOI 10.3201/eid1201.051237
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Abstract

Current vaccine strategies against influenza focus on generating robust antibody responses. Because of the high degree of antigenic drift among circulating influenza strains over the course of a year, vaccine strains must be reformulated specifically for each influenza season. The time delay from isolating the pandemic strain to large-scale vaccine production would be detrimental in a pandemic situation. A vaccine approach based on cell-mediated immunity that avoids some of these drawbacks is discussed here. Specifically, cell-mediated responses typically focus on peptides from internal influenza proteins, which are far less susceptible to antigenic variation. We review the literature on the role of CD4+ and CD8+ T cell-mediated immunity in influenza infection and the available data on the role of these responses in protection from highly pathogenic influenza infection. We discuss the advantages of developing a vaccine based on cell-mediated immune responses toward highly pathogenic influenza virus and potential problems arising from immune pressure.

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Metadata

Authors
Thomas, P. G., Keating, R., Hulse-Post, D. J., & Doherty, P. C.
Venue
Emerging Infectious Diseases
Publisher
Centers for Disease Control and Prevention (CDC)
Published
2006-01
Volume
12
Issue
1
Pages
48-54
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
DOI
10.3201/eid1201.051237
OpenAlex
W2048340513
Cited by
466
References
42
FWCI
21.47
Type
journal article
Language
en
Open access
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.