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Cited by 927

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Cytotoxic T-Cell Immunity to Influenza

McMichael, Andrew J., Gotch, Frances M., Noble, Gary R., Beare, Paul A. S.·1983·New England Journal of Medicine

Abstract

In a study designed to determine whether cytotoxic T lymphocytes contribute to immunity against influenza virus infection, we inoculated 63 volunteers intranasally with live unattenuated influenza A/Munich/1/79 virus. Over the next seven days clinical observations were made, and the amount of virus shed was measured. The protective effects of preinfection serum antibody and of cytotoxic T-cell immunity against influenza A virus were assessed for each participant. All subjects with demonstrable T-cell responses cleared virus effectively. This response was observed in volunteers in all age groups, including those born after 1956, who did not have specific antibody and hence had probably not been exposed to this subtype of influenza A virus before. Cytotoxic T cells show cross-reactivity in their recognition of the different subtypes of influenza A virus, in contrast to the antibody response that is specific for each virus subtype. We conclude that cytotoxic T cells play a part in recovery from influenza virus infection.

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Metadata

Authors
McMichael, A. J., Gotch, F. M., Noble, G. R., & Beare, P. A. S.
Venue
New England Journal of Medicine
Published
1983-07-07
Volume
309
Issue
1
Pages
13-17
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2318325499
Cited by
927
References
0
FWCI
10.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cytotoxic T-Cell Immunity to Influenza. https://app.cochat.ai/papers/10.1056/nejm198307073090103
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McMichael, A. J., Gotch, F. M., Noble, G. R., & Beare, P. A. S. (1983). Cytotoxic T-Cell Immunity to Influenza. New England Journal of Medicine. https://doi.org/10.1056/nejm198307073090103

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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.