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

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• dc.contributor.author Locke, Macauley
• dc.contributor.author Grebennikov, Dmitry
• dc.contributor.author Sazonov, Igor
• dc.contributor.author López García, Martín
• dc.contributor.author Loguinova, Marina
• dc.contributor.author Meyerhans, Andreas
• dc.contributor.author Bocharov, Gennady A.
• dc.contributor.author Molina-París, Carmen
• dc.date.accessioned 2024-09-17T06:24:36Z
• dc.date.available 2024-09-17T06:24:36Z
• dc.date.issued 2024
• dc.description.abstract SARS-CoV-2 still presents a global threat to human health due to the continued emergence of new strains and waning immunity among vaccinated populations. Therefore, it is still relevant to investigate potential therapeutics, such as therapeutic interfering particles (TIPs). Mathematical and computational modeling are valuable tools to study viral infection dynamics for predictive analysis. Here, we expand on the previous work 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.
• dc.format.mimetype application/pdf
• dc.identifier.citation Locke M, Grebennikov D, Sazonov I, López-García M, Loguinova M, Meyerhans A, et al. Exploring the therapeutic potential of defective interfering particles in reducing the replication of SARS-CoV-2. Mathematics. 2024;12(12):1904. DOI: 10.3390/math12121904
• dc.identifier.doi http://dx.doi.org/10.3390/math12121904
• dc.identifier.issn 2227-7390
• dc.identifier.uri http://hdl.handle.net/10230/61114
• dc.language.iso eng
• dc.publisher MDPI
• dc.relation.ispartof Mathematics. 2024;12(12):1904
• dc.rights © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Mathematical model
• dc.subject.keyword Virus replication dynamics
• dc.subject.keyword Sensitivity
• dc.subject.keyword SARS-CoV-2
• dc.subject.keyword Defective interfering particles
• dc.title Exploring the therapeutic potential of defective interfering particles in reducing the replication of SARS-CoV-2
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion