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基线先天和 T 细胞群体是与抗症状性流感病毒感染相关的保护因素,与血清学无关。

Baseline innate and T cell populations are correlates of protection against symptomatic influenza virus infection independent of serology.

机构信息

Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.

Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA.

出版信息

Nat Immunol. 2023 Sep;24(9):1511-1526. doi: 10.1038/s41590-023-01590-2. Epub 2023 Aug 17.

Abstract

Evidence suggests that innate and adaptive cellular responses mediate resistance to the influenza virus and confer protection after vaccination. However, few studies have resolved the contribution of cellular responses within the context of preexisting antibody titers. Here, we measured the peripheral immune profiles of 206 vaccinated or unvaccinated adults to determine how baseline variations in the cellular and humoral immune compartments contribute independently or synergistically to the risk of developing symptomatic influenza. Protection correlated with diverse and polyfunctional CD4 and CD8 T, circulating T follicular helper, T helper type 17, myeloid dendritic and CD16 natural killer (NK) cell subsets. Conversely, increased susceptibility was predominantly attributed to nonspecific inflammatory populations, including γδ T cells and activated CD16 NK cells, as well as TNFα single-cytokine-producing CD8 T cells. Multivariate and predictive modeling indicated that cellular subsets (1) work synergistically with humoral immunity to confer protection, (2) improve model performance over demographic and serologic factors alone and (3) comprise the most important predictive covariates. Together, these results demonstrate that preinfection peripheral cell composition improves the prediction of symptomatic influenza susceptibility over vaccination, demographics or serology alone.

摘要

有证据表明,先天和适应性细胞反应介导对流感病毒的抵抗力,并在接种疫苗后提供保护。然而,很少有研究在预先存在的抗体滴度的背景下解决细胞反应的贡献。在这里,我们测量了 206 名接种或未接种疫苗的成年人的外周免疫谱,以确定细胞和体液免疫区室的基线变化如何独立或协同地影响发生症状性流感的风险。保护与多样化和多功能的 CD4 和 CD8 T 细胞、循环滤泡辅助 T 细胞、辅助性 T 细胞 17、髓样树突状细胞和 CD16 自然杀伤 (NK) 细胞亚群相关。相反,易感性增加主要归因于非特异性炎症群体,包括 γδ T 细胞和活化的 CD16 NK 细胞,以及 TNFα 单一细胞因子产生的 CD8 T 细胞。多变量和预测模型表明,细胞亚群 (1) 与体液免疫协同作用以提供保护,(2) 提高模型性能超过人口统计学和血清学因素单独,(3) 包含最重要的预测协变量。总之,这些结果表明,感染前的外周细胞组成比接种疫苗、人口统计学或血清学单独预测症状性流感易感性更准确。

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