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数学建模发现不同的干扰素产生率在致命性流感感染期间驱动菌株特异性免疫动力学。

Mathematical Modeling Finds Disparate Interferon Production Rates Drive Strain-Specific Immunodynamics during Deadly Influenza Infection.

机构信息

Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.

McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA.

出版信息

Viruses. 2022 Apr 27;14(5):906. doi: 10.3390/v14050906.

Abstract

The timing and magnitude of the immune response (i.e., the immunodynamics) associated with the early innate immune response to viral infection display distinct trends across influenza A virus subtypes in vivo. Evidence shows that the timing of the type-I interferon response and the overall magnitude of immune cell infiltration are both correlated with more severe outcomes. However, the mechanisms driving the distinct immunodynamics between infections of different virus strains (strain-specific immunodynamics) remain unclear. Here, computational modeling and strain-specific immunologic data are used to identify the immune interactions that differ in mice infected with low-pathogenic H1N1 or high-pathogenic H5N1 influenza viruses. Computational exploration of free parameters between strains suggests that the production rate of interferon is the major driver of strain-specific immune responses observed in vivo, and points towards the relationship between the viral load and lung epithelial interferon production as the main source of variance between infection outcomes. A greater understanding of the contributors to strain-specific immunodynamics can be utilized in future efforts aimed at treatment development to improve clinical outcomes of high-pathogenic viral strains.

摘要

病毒感染早期固有免疫应答相关的免疫反应(即免疫动力学)在体内各型甲型流感病毒中呈现出明显的趋势。有证据表明,I 型干扰素应答的时机和免疫细胞浸润的总体程度均与更严重的结果相关。然而,导致不同病毒株感染之间(菌株特异性免疫动力学)不同免疫动力学的机制尚不清楚。在这里,通过计算建模和菌株特异性免疫数据,确定了感染低致病性 H1N1 或高致病性 H5N1 流感病毒的小鼠之间存在差异的免疫相互作用。对菌株间自由参数的计算探索表明,干扰素的产生率是体内观察到的菌株特异性免疫反应的主要驱动因素,并指出病毒载量与肺上皮细胞干扰素产生之间的关系是感染结果差异的主要来源。对菌株特异性免疫动力学的贡献因素有更深入的了解,可用于未来的治疗开发工作,以改善高致病性病毒株的临床结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/9147528/1bb2dd473024/viruses-14-00906-g001.jpg

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