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Modelling the impact of antibody-dependent enhancement on disease severity of Zika virus and dengue virus sequential and co-infection

机译:依赖于抗体依赖性增强对Zika病毒和登革热病毒顺序和共感染疾病严重程度的影响

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Human infections with viruses of the genus Flavivirus , including dengue virus (DENV) and Zika virus (ZIKV), are of increasing global importance. Owing to antibody-dependent enhancement (ADE), secondary infection with one Flavivirus following primary infection with another Flavivirus can result in a significantly larger peak viral load with a much higher risk of severe disease. Although several mathematical models have been developed to quantify the virus dynamics in the primary and secondary infections of DENV, little progress has been made regarding secondary infection of DENV after a primary infection of ZIKV, or DENV-ZIKV co-infection. Here, we address this critical gap by developing compartmental models of virus dynamics. We first fitted the models to published data on dengue viral loads of the primary and secondary infections with the observation that the primary infection reaches its peak much more gradually than the secondary infection. We then quantitatively show that ADE is the key factor determining a sharp increase/decrease of viral load near the peak time in the secondary infection. In comparison, our simulations of DENV and ZIKV co-infection (simultaneous rather than sequential) show that ADE has very limited influence on the peak DENV viral load. This indicates pre-existing immunity to ZIKV is the determinant of a high level of ADE effect. Our numerical simulations show that (i) in the absence of ADE effect, a subsequent co-infection is beneficial to the second virus; and (ii) if ADE is feasible, then a subsequent co-infection can induce greater damage to the host with a higher peak viral load and a much earlier peak time for the second virus, and for the second peak for the first virus.
机译:具有类生命病毒病毒的人类感染,包括登革热病毒(DENV)和ZIKA病毒(ZIKV)的全球性重要性。由于依赖于抗体依赖性增强(ADE),用另一种黄病毒的原发性感染后具有一种黄病毒的二次感染可能导致具有明显更大的峰病毒载体,具有更高的严重疾病风险。虽然已经开发了几种数学模型来量化Denv的初级和继发感染的病毒动态,但在ZIKV的主要感染后,Denv的二次感染的进展情况一切略微进展,或者Denv-Zikv共感染。在这里,我们通过开发病毒动力学的分区模型来解决这种关键差距。我们首先将模型拟合到发表关于初级和继发感染的登革热病毒载量的数据,观察到主要感染达到其峰值比二次感染更逐渐达到峰值。然后,我们定量表明,ADE是确定次级感染中峰值时间附近的病毒载量急剧增加/降低的关键因素。相比之下,我们的DenV和Zikv共感染的模拟(同时而不是顺序)表明,对钠钠病毒载荷的影响非常有限。这表明对ZIKV的预先存在的免疫力是高水平的ADE效应的决定因素。我们的数值模拟表明(i)在没有ade效应的情况下,随后的共感染对第二种病毒有益; (ii)如果ADE是可行的,则随后的共感染可以用较高的峰值病毒载荷和第二病毒的峰值时间更高的峰值时间造成更大的宿主损伤,以及第一病毒的第二峰。

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