Department of Mathematics, Chair of Applied Mathematics 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstr. 11, 91058 Erlangen, Germany.
Medivir AB, Department of Biology, 141 22 Huddinge, Sweden.
Int J Environ Res Public Health. 2019 Feb 12;16(3):513. doi: 10.3390/ijerph16030513.
The hepatitis C virus (HCV) RNA replication cycle is a dynamic intracellular process occurring in three-dimensional space (3D), which is difficult both to capture experimentally and to visualize conceptually. HCV-generated replication factories are housed within virus-induced intracellular structures termed membranous webs (MW), which are derived from the Endoplasmatic Reticulum (ER). Recently, we published 3D spatiotemporal resolved diffusion⁻reaction models of the HCV RNA replication cycle by means of surface partial differential equation (sPDE) descriptions. We distinguished between the basic components of the HCV RNA replication cycle, namely HCV RNA, non-structural viral proteins (NSPs), and a host factor. In particular, we evaluated the sPDE models upon realistic reconstructed intracellular compartments (ER/MW). In this paper, we propose a significant extension of the model based upon two additional parameters: different aggregate states of HCV RNA and NSPs, and population dynamics inspired diffusion and reaction coefficients instead of multilinear ones. The combination of both aspects enables realistic modeling of viral replication at all scales. Specifically, we describe a replication complex state consisting of HCV RNA together with a defined amount of NSPs. As a result of the combination of spatial resolution and different aggregate states, the new model mimics a cis requirement for HCV RNA replication. We used heuristic parameters for our simulations, which were run only on a subsection of the ER. Nevertheless, this was sufficient to allow the fitting of core aspects of virus reproduction, at least qualitatively. Our findings should help stimulate new model approaches and experimental directions for virology.
丙型肝炎病毒 (HCV) RNA 复制周期是一个发生在三维空间 (3D) 的动态细胞内过程,既难以在实验中捕获,也难以在概念上可视化。HCV 产生的复制工厂位于称为膜网络 (MW) 的病毒诱导的细胞内结构中,MW 源自内质网 (ER)。最近,我们通过表面偏微分方程 (sPDE) 描述发布了 HCV RNA 复制周期的 3D 时空分辨扩散-反应模型。我们区分了 HCV RNA 复制周期的基本组成部分,即 HCV RNA、非结构病毒蛋白 (NSP) 和宿主因子。特别是,我们评估了基于真实重建的细胞内隔室 (ER/MW) 的 sPDE 模型。在本文中,我们提出了对模型的重要扩展,基于两个附加参数:HCV RNA 和 NSP 的不同聚集状态,以及基于人口动态的扩散和反应系数而不是多线性系数。这两个方面的结合能够在所有尺度上实现真实的病毒复制建模。具体来说,我们描述了一种复制复合物状态,由 HCV RNA 与一定量的 NSP 组成。由于空间分辨率和不同聚集状态的结合,新模型模拟了 HCV RNA 复制的顺式要求。我们使用启发式参数进行模拟,仅在 ER 的一个子部分上运行。尽管如此,这足以允许对病毒繁殖的核心方面进行定性拟合。我们的研究结果应该有助于激发病毒学的新模型方法和实验方向。