Academic Journal
Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients.
| Title: | Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients. |
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| Authors: | Zhengqing Zhou, Dianjie Li, Ziheng Zhao, Shuyu Shi, Jianghua Wu, Jianwei Li, Jingpeng Zhang, Ke Gui, Yu Zhang, Qi Ouyang, Heng Mei, Yu Hu, Fangting Li |
| Source: | PLoS Computational Biology, Vol 19, Iss 9, p e1011383 (2023) |
| Publisher Information: | Public Library of Science (PLoS), 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Biology (General) |
| Subject Terms: | Biology (General), QH301-705.5 |
| More Details: | Once challenged by the SARS-CoV-2 virus, the human host immune system triggers a dynamic process against infection. We constructed a mathematical model to describe host innate and adaptive immune response to viral challenge. Based on the dynamic properties of viral load and immune response, we classified the resulting dynamics into four modes, reflecting increasing severity of COVID-19 disease. We found the numerical product of immune system's ability to clear the virus and to kill the infected cells, namely immune efficacy, to be predictive of disease severity. We also investigated vaccine-induced protection against SARS-CoV-2 infection. Results suggested that immune efficacy based on memory T cells and neutralizing antibody titers could be used to predict population vaccine protection rates. Finally, we analyzed infection dynamics of SARS-CoV-2 variants within the construct of our mathematical model. Overall, our results provide a systematic framework for understanding the dynamics of host response upon challenge by SARS-CoV-2 infection, and this framework can be used to predict vaccine protection and perform clinical diagnosis. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1553-734X 1553-7358 |
| Relation: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011383&type=printable; https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358 |
| DOI: | 10.1371/journal.pcbi.1011383&type=printable |
| DOI: | 10.1371/journal.pcbi.1011383 |
| Access URL: | https://doaj.org/article/9ddd92010ee04d528de88d0a1016d6d4 |
| Accession Number: | edsdoj.9ddd92010ee04d528de88d0a1016d6d4 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 1553734X 15537358 |
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| DOI: | 10.1371/journal.pcbi.1011383&type=printable |
| Published in: | PLoS Computational Biology |
| Language: | English |