Statistical modeling using early markers of innate immunity to explain variation in humoral responses to influenza vaccine in older adults.
Statistical modeling using early markers of innate immunity to explain variation in humoral responses to influenza vaccine in older adults.
复制标题
使用先天免疫的早期标记的统计模型来解释老年人对流感疫苗的体液反应的变化。
DOI：
10.1016/j.vaccine.2015.06.031
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发表时间：
2015
期刊：
影响因子：
5.5
通讯作者：
Poland,GregoryA
中科院分区：
文献类型：
--
作者：
Kennedy,RichardB;Tosh,PritishK;Goergen,KristaM;Grill,DianeE;Oberg,AnnL;Poland,GregoryA
更好地理解与老年人对流感疫苗的保护性反应相关的因素可能会带来巨大的公共卫生益处。我们研究了158名年龄在50-74岁之间的参与者，他们接种了2010-2011年灭活流感疫苗，并在接种后第0、3和28天通过血凝抑制（HAI）、微量中和和B细胞ELISPOT进行了针对甲型加州/2009（H1N1）流感的先天免疫和体液免疫测定。我们报告了使用第3天细胞因子、趋化因子和先天性细胞群对第0天至第28天HAI血清转化、病毒中和血清转化和B细胞ELISPOT结果建模的统计建模结果。
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.