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Bocharov, G.

Publications and source records attributed to Bocharov, G..

2 recordsLinked to original sources

Exploring the therapeutic potential of defective interfering particles in reducing the replication of SARS-CoV-2

SARS-CoV-2 still presents a global threat to human health due to the continued emergence of new strains and waning immunity amongst vaccinated populations. Therefore, it is still relevant to investigate potential therapeutics, such as therapeutic interfering particles (TIPs). Mathematical and computational modelling are valuable tools to study viral infection dynamics for predictive analysis. Here, we expand on the previous work by Grebennikov et al. (2021) on SARS-CoV-2 intra-cellular replication dynamics to include defective interfering particles (DIPs) as potential therapeutic agents. We formulate a deterministic model that describes the replication of wild-type (WT) SARS-CoV-2 virus in the presence of DIPs. Sensitivity analysis of parameters to several model outputs is employed to inform us on those parameters to be carefully calibrated from experimental data. We then study the effects of co-infection on WT replication and how DIP dose perturbs the release of WT viral particles. Furthermore, we provide a stochastic formulation of the model that is compared to the deterministic one. These models could be further developed into population-level models or used to guide the development and dose of TIPs. Author summarySARS-CoV-2 continues to evolve, with new strains or sub-strains being identified thanks to efforts to monitor the virus. Consequently, new strains threaten human health as current vaccinations may not adequately protect against future strains. It is therefore important to understand the roles that additional therapeutics could play in protecting against these future strains. Therapeutic interfering particles (TIPs), otherwise referred to as defective interfering particles (DIPs), could provide an additional treatment option against future strains. Previous models have examined the role of DIPs at the within-host level during co-infection with wild-type virus, but have paid little attention to intra-cellular dynamics. Here we extend the previous intra-cellular replication model of SARS-CoV-2 by Grebennikov et al. (2021) to include co-infection of WT virus with DIPs. We show that DIPs lead to a reduction in the WT virus in a dose-dependent manner, with higher doses leading to up to 10-fold reduction in total WT virus released from a cell depending on the multiplicity of infection (MOI). We find these results to be consistent for both deterministic and stochastic formulations of the model. Our approaches could be developed into a within-host model or population-level model, which could then be used to guide therapeutic DIP doses.

microbiology↗

Time-resolved systems analysis reveals a critical role of XCR1+ 1 dendritic cells in the maintenance of effector T cells during chronic viral infection

Upon a viral infection, the host immune system attempts to eradicate the virus. However, once the infection threat seems overwhelming, the infected host actively shuts down effector responses to reduce immunopathology. The price to pay for this is the establishment of a chronic infection that is only partially controlled by a lower level immune response. The genetic networks underlying this infection fate decision and the immune adaptation to the lower level response are not well understood. Here we used an integrated approach of gene coexpression network analysis of time-resolved splenic transcriptomes and immunological analysis to characterize the host response to acute and chronic lymphocytic choriomeningitis virus (LCMV) infections. We found first, an early attenuation of inflammatory monocyte/macrophage prior to the onset of T cell exhaustion and second, a critical role of the XCL1-XCR1 communication axis during the functional adaptation of the T cell response to the chronic infection state. These findings not only reveal an important feedback mechanism that couples T cell exhaustion with the maintenance of a lower level of effector T cell response but also suggest therapy options to better control virus levels during the chronic infection phase.\n\nAuthor SummaryThe outcomes of viral infections are the result of dynamic interplays between infecting viruses and induced host responses. They can be categorized as either acute or chronic depending on temporal virus-host relationships. Chronic infections are associated with immune exhaustion, a partial shut-down of effector responses. The processes underlying infection fate decisions are incompletely understood. Here we analyzed, on a systems level, infection-fate-specific gene signatures and the resulting adaptive processes of the host. We used the well-established lymphocytic choriomeningitis virus infection mouse model which has been instrumental to detect many fundamental processes in the virus-immune system crosstalk that are also relevant in human infections. We show an early attenuation of macrophage-mediated inflammation and an involvement of cross-presenting dendritic cells in the maintenance of an antiviral cytotoxic T cell response and virus control in the chronic infection phase. Together our data demonstrate a delicate adaptation process towards a chronic virus infection with both immunosuppressive and immunostimulatory processes. We fill a knowledge gap regarding the mechanisms of effector T cell maintenance and provide a new rational for targeted therapeutic vaccination.

immunology↗