The composition of immune cells serves as a predictor of adaptive immunity in a cohort of 50‐ to 74‐year‐old adults
Identifieur interne : 000399 ( Main/Exploration ); précédent : 000398; suivant : 000400The composition of immune cells serves as a predictor of adaptive immunity in a cohort of 50‐ to 74‐year‐old adults
Auteurs : Richard B. Kennedy ; Whitney L. Simon ; Michael J. Gibson ; Krista M. Goergen ; Diane E. Grill ; Ann L. Oberg ; Gregory A. PolandSource :
- Immunology [ 0019-2805 ] ; 2016.
Abstract
Influenza causes significant morbidity and mortality annually. Although vaccination offers a considerable amount of protection, it is far from perfect, especially in aging populations. This is due to age‐related defects in immune function, a process called immunosenescence. To date, there are no assays or methods to predict or explain variations in an individual's level of response to influenza vaccination. In this study, we measured levels of several immune cell subsets at baseline (Day 0) and at Days 3 and 28 post‐vaccination using flow cytometry. Statistical modelling was performed to assess correlations between levels of cell subsets and Day 28 immune responses – haemagglutination inhibition (
Url:
DOI: 10.1111/imm.12599
PubMed: 27188667
PubMed Central: 4913285
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><title>Summary</title>
<p>Influenza causes significant morbidity and mortality annually. Although vaccination offers a considerable amount of protection, it is far from perfect, especially in aging populations. This is due to age‐related defects in immune function, a process called immunosenescence. To date, there are no assays or methods to predict or explain variations in an individual's level of response to influenza vaccination. In this study, we measured levels of several immune cell subsets at baseline (Day 0) and at Days 3 and 28 post‐vaccination using flow cytometry. Statistical modelling was performed to assess correlations between levels of cell subsets and Day 28 immune responses – haemagglutination inhibition (<styled-content style="fixed-case">HAI</styled-content>
) assay, virus neutralizing antibody (<styled-content style="fixed-case">VNA</styled-content>
) assay, and memory B cell <styled-content style="fixed-case">ELISPOT</styled-content>
. Changes in several groups of cell types from Day 0 to Day 28 and Day 3 to Day 28 were found to be significantly associated with immune response. Baseline levels of several immune cell subsets, including B cells and regulatory T cells, were able to partially explain variation in memory B‐cell <styled-content style="fixed-case">ELISPOT</styled-content>
results. Increased expression of <styled-content style="fixed-case">HLA</styled-content>
‐<styled-content style="fixed-case">DR</styled-content>
on plasmacytoid dendritic cells after vaccination was correlated with increased <styled-content style="fixed-case">HAI</styled-content>
and <styled-content style="fixed-case">VNA</styled-content>
responses. Our data suggest that the expression of activation markers (<styled-content style="fixed-case">HLA</styled-content>
‐<styled-content style="fixed-case">DR</styled-content>
and <styled-content style="fixed-case">CD</styled-content>
86) on various immune cell subsets, as well as the relative distribution of cell subsets, both have value in predicting immune responses to influenza vaccination in older individuals.</p>
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<tree><noCountry><name sortKey="Gibson, Michael J" sort="Gibson, Michael J" uniqKey="Gibson M" first="Michael J." last="Gibson">Michael J. Gibson</name>
<name sortKey="Goergen, Krista M" sort="Goergen, Krista M" uniqKey="Goergen K" first="Krista M." last="Goergen">Krista M. Goergen</name>
<name sortKey="Grill, Diane E" sort="Grill, Diane E" uniqKey="Grill D" first="Diane E." last="Grill">Diane E. Grill</name>
<name sortKey="Kennedy, Richard B" sort="Kennedy, Richard B" uniqKey="Kennedy R" first="Richard B." last="Kennedy">Richard B. Kennedy</name>
<name sortKey="Oberg, Ann L" sort="Oberg, Ann L" uniqKey="Oberg A" first="Ann L." last="Oberg">Ann L. Oberg</name>
<name sortKey="Poland, Gregory A" sort="Poland, Gregory A" uniqKey="Poland G" first="Gregory A." last="Poland">Gregory A. Poland</name>
<name sortKey="Simon, Whitney L" sort="Simon, Whitney L" uniqKey="Simon W" first="Whitney L." last="Simon">Whitney L. Simon</name>
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