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Gene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humans

机译:基因表达特征可诊断人类的流感和其他有症状呼吸道病毒感染

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摘要

Acute respiratory infections (ARIs) are a common reason for seeking medical attention, and the threat of pandemic influenza will likely add to these numbers. Using human viral challenge studies with live rhinovirus, respiratory syncytial virus, and influenza A, we developed peripheral blood gene expression signatures that distinguish individuals with symptomatic ARIs from uninfected individuals with >95% accuracy. We validated this "acute respiratory viral" signature-encompassing genes with a known role in host defense against viral infections-across each viral challenge. We also validated the signature in an independently acquired data set for influenza A and classified infected individuals from healthy controls with 100% accuracy. In the same data set, we could also distinguish viral from bacterial ARIs (93% accuracy). These results demonstrate that ARIs induce changes in human peripheral blood gene expression that can be used to diagnose a viral etiology of respiratory infection and triage symptomatic individuals.
机译:急性呼吸道感染(ARI)是寻求医疗救助的常见原因,大流行性流感的威胁可能会增加这些数字。通过使用活的鼻病毒,呼吸道合胞病毒和甲型流感病毒进行人类病毒攻击研究,我们开发了外周血基因表达特征,从而将有症状ARI的个体与未感染的个体区别开来,准确度> 95%。我们验证了这种“急性呼吸道病毒”特征基因,在每个病毒挑战中具有已知的宿主防御病毒感染的作用。我们还在独立获取的甲型流感数据集中验证了签名,并以100%的准确性对来自健康对照的受感染个体进行了分类。在同一数据集中,我们还可以区分病毒和细菌ARI(准确度为93%)。这些结果表明,ARIs诱导人外周血基因表达的变化,可用于诊断呼吸道感染和分流有症状个体的病毒病因。

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