Serum Cytokines During Acute Respiratory Infection and Relationship to Age.

Aanya Gupta, Holden T Maecker
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Abstract

Influenza and other seasonal respiratory viruses affect millions annually. While age is generally known to be correlated with risk and outcome, the mechanisms underlying these differences, especially in the infected, have been poorly defined. Previous studies have focused primarily on cell-subset shifts in older adults, leaving a gap in understanding of how cytokine responses vary across the full age spectrum. Cytokine data from Luminex assays were compiled from Stanford clinical studies and after batch control filtering, the dataset included 181 healthy individuals (ages 4-97) and 27 symptomatic individuals (mostly confirmed influenza, ages 14-77). Ordinary least squares regression was applied to assess cytokine differences due to infection status, age, and their interaction, with statistical significance defined as p<0.05. The results illustrated that pro-inflammatory cytokines were found to be significantly elevated in infected individuals, with a trend of stronger effects in the young supported by comparison of intercepts between the regressions for the healthy and infected cohorts. The concept of inflammaging was also seen through several biomarkers with significant non-zero slopes in healthy cohorts that were not well-established in prior research. Our findings reveal both expected and novel cytokine behavior in influenza infection across a wide range of ages. By incorporating younger individuals and including age as a continuous variable, the study makes progress towards a deeper understanding of the changes in the immune system and its response to influenza across the lifespan.

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急性呼吸道感染血清细胞因子及其与年龄的关系
流感和其他季节性呼吸道病毒每年影响数百万人。虽然人们普遍认为年龄与风险和结果相关,但这些差异背后的机制,特别是在受感染人群中,一直没有明确定义。以前的研究主要集中在老年人的细胞亚群变化上,在了解细胞因子反应如何在整个年龄谱上变化方面存在空白。Luminex检测的细胞因子数据来自斯坦福大学的临床研究,经过批量对照过滤后,数据集包括181名健康个体(4-97岁)和27名有症状的个体(主要是确诊的流感患者,14-77岁)。应用普通最小二乘回归评估感染状态、年龄及其相互作用导致的细胞因子差异,统计学意义定义为p
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