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Statistical modeling using early markers of innate immunity to explain variation in humoral responses to influenza vaccine in older adults

tetano

Editor, Senior Moderator
Vaccine. 2015 Jun 15. pii: S0264-410X(15)00820-8. doi: 10.1016/j.vaccine.2015.06.031. [Epub ahead of print]
[h=1]Statistical modeling using early markers of innate immunity to explain variation in humoral responses to influenza vaccine in older adults.[/h] Kennedy RB[SUP]1[/SUP], Tosh PK[SUP]2[/SUP], Goergen KM[SUP]3[/SUP], Grill DE[SUP]3[/SUP], Oberg AL[SUP]3[/SUP], Poland GA[SUP]4[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] Greater understanding of the factors associated with a protective response to influenza vaccine in older adults could have tremendous public health benefits. We studied 158 participants age 50-74 years vaccinated with 2010-2011 inactivated influenza vaccine and performed innate immunity and humoral immunity assays directed against influenza A/California/2009 (H1N1) as measured through hemagglutination inhibition (HAI), microneutralization, and B cell ELISPOT at days 0, 3, and 28 postvaccination. We report the results of statistical modeling using Day 3 cytokines, chemokines, and innate cell populations to model Day 0 to Day 28 HAI seroconversion, viral neutralization seroconversion, and B cell ELISPOT results.
Copyright ? 2015. Published by Elsevier Ltd.


[h=4]KEYWORDS:[/h] Adult; Age factors; Aged; Immunity, Humoral; Influenza vaccines; Models, Statistical

PMID: 26087295 [PubMed - as supplied by publisher]
 
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