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Nature Reviews Immunology
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The non-specific and sex-differential effects of vaccines

Authors: Sabra L. Klein; Peter Aaby; David J. Lynn; David J. Lynn; Christine Stabell Benn; Frank Shann; Tobias R. Kollmann; +3 Authors

The non-specific and sex-differential effects of vaccines

Abstract

The textbook view of vaccination is that it functions to induce immune memory of the specific pathogen components of the vaccine, leading to a quantitatively and qualitatively better response if the host is exposed to infection with the same pathogen. However, evidence accumulated over the past few decades increasingly suggests that vaccines can also have non-specific effects on unrelated infections and diseases, with important implications for childhood mortality particularly in low-income settings. Furthermore, many of these non-specific effects, as well as the pathogen-specific effects, of vaccines show differences between the sexes. Here, members of the Optimmunize consortium discuss the evidence for and potential mechanisms of non-specific and sex-differential effects of vaccines, as well as their potential policy implications. Given that the non-specific effects of some vaccines are now being tested for their ability to protect against COVID-19, the authors also comment on the broader implications of these trials.

Keywords

Pneumonia, Viral, 610, Pneumonia, Viral/immunology, 576, Innate/immunology, Coronavirus Infections/immunology, Betacoronavirus, Viewpoint, Immunity, Innate/immunology, Humans, Vaccination/methods, Viral/immunology, Pandemics, Sex Characteristics, Vaccines, Betacoronavirus/immunology, SARS-CoV-2, Vaccination, Immunity, COVID-19, Vaccines/immunology, Pneumonia, Immunity, Innate, Immunologic Memory/immunology, Coronavirus Infections, Immunologic Memory

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    111
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
111
Top 1%
Top 10%
Top 1%
Green
hybrid