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Ebola viral dynamics in nonhuman primates provides insights into virus immuno-pathogenesis and antiviral strategies

机译:非人类灵长类动物中的埃博拉病毒动力学提供了有关病毒免疫发病机制和抗病毒策略的见解

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摘要

Despite several clinical trials implemented, no antiviral drug could demonstrate efficacy against Ebola virus. In non-human primates, early initiation of polymerase inhibitors favipiravir and remdesivir improves survival, but whether they could be effective in patients is unknown. Here we analyze the impact of antiviral therapy by using a mathematical model that integrates virological and immunological data of 44 cynomolgus macaques, left untreated or treated with favipiravir. We estimate that favipiravir has a ~50% efficacy in blocking viral production, which results in reducing virus growth and cytokine storm while IFNα reduces cell susceptibility to infection. Simulating the effect of delayed initiations of treatment, our model predicts survival rates of 60% for favipiravir and 100% for remdesivir when treatment is initiated within 3 and 4 days post infection, respectively. These results improve the understanding of Ebola immuno-pathogenesis and can help optimize antiviral evaluation in future outbreaks.
机译:尽管已进行了多项临床试验,但尚无抗病毒药能证明抗埃博拉病毒的功效。在非人类灵长类动物中,尽早开始使用聚合酶抑制剂favipiravir和remdesivir可以提高生存率,但尚不清楚它们是否对患者有效。在这里,我们通过使用一个数学模型来分析抗病毒治疗的影响,该数学模型整合了未经治疗或未使用法维吡韦治疗的44只食蟹猕猴的病毒学和免疫学数据。我们估计,favipiravir在阻止病毒产生方面具有〜50%的功效,这可导致病毒生长和细胞因子风暴减少,而IFNα则可降低细胞对感染的易感性。模拟延迟治疗的影响,我们的模型预测,在感染后3天内和4天内开始治疗时,favipiravir和remdesivir的存活率分别为60%和100%。这些结果增进了对埃博拉病毒免疫发病机制的了解,并有助于优化未来爆发中的抗病毒评估。

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