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A Multicompartment Mathematical Model Based on Host Immunity for Dissecting COVID-19 Heterogeneity

31 Pages Posted: 31 Jan 2022 Publication Status: Published

See all articles by Jianwei Li

Jianwei Li

Peking University

Jianghua Wu

Nanjing University

Jingpeng Zhang

Peking University

Lu Tang

Huazhong University of Science and Technology - Institute of Hematology

Heng Mei

Huazhong University of Science and Technology - Institute of Hematology

Yu Hu

Huazhong University of Science and Technology - Institute of Hematology; Huazhong University of Science and Technology - Collaborative Innovation Center of Hematology

Fangting Li

Peking University - Center for Quantitative Biology

Abstract

The determinants underlying the heterogeneity of coronavirus disease 2019 (COVID-19) remain to be elucidated. To systemically analyze the immunopathogenesis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we built a multicompartment mathematical model based on immunological principles and typical COVID-19-related characteristics. This model integrated the trafficking of immune cells and cytokines among the secondary lymphoid organs, peripheral blood and lungs. Our results suggested that early-stage lymphopenia was related to lymphocyte chemotaxis, while prolonged lymphopenia in critically ill patients was associated with myeloid-derived suppressor cells. Furthermore, our model predicted that insufficient SARS-CoV-2-specific naïve T/B cell pools and ineffective activation of antigen-presenting cells (APCs) would cause delayed immunity activation, resulting in elevated viral load, low immunoglobulin level, etc. Overall, we provided a comprehensive view of the dynamics of host immunity after SARS-CoV-2 infection that enabled us to understand COVID-19 heterogeneity from systemic perspective.

Funding: This work was supported by the National Key R&D Program in China (Grants No. 2020YFC0845700, No. 2018YFA0900200 and No. 2020YFA0906900), the National Natural Science Foundation of China (Grants No. 12174007 and No. 12090054), Scientific Research Projects of the Chinese Academy of Engineering (Grant No. 2020-KYGG-01-07) and Fundamental Research Funds for the Central Universities (Grant No. 2020kfyXGYJ029).

Declaration of Interests: The authors have declared that no conflict of interest exists.

Ethics Approval Statement: This study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (#2020/0004). Written informed consent was waived owing to the emergence of this high-risk infectious disease.

Keywords: mathematical model, COVID-19, heterogeneity, dynamics of host immunity

Suggested Citation

Li, Jianwei and Wu, Jianghua and Zhang, Jingpeng and Tang, Lu and Mei, Heng and Hu, Yu and Li, Fangting, A Multicompartment Mathematical Model Based on Host Immunity for Dissecting COVID-19 Heterogeneity. Available at SSRN: https://ssrn.com/abstract=4021902 or http://dx.doi.org/10.2139/ssrn.4021902

Jianwei Li

Peking University ( email )

No. 38 Xueyuan Road
Haidian District
Beijing, 100871
China

Jianghua Wu

Nanjing University ( email )

Jingpeng Zhang

Peking University ( email )

No. 38 Xueyuan Road
Haidian District
Beijing, 100871
China

Lu Tang

Huazhong University of Science and Technology - Institute of Hematology ( email )

Heng Mei

Huazhong University of Science and Technology - Institute of Hematology ( email )

Yu Hu

Huazhong University of Science and Technology - Institute of Hematology ( email )

Wuhan
China

Huazhong University of Science and Technology - Collaborative Innovation Center of Hematology ( email )

Wuhan
China

Fangting Li (Contact Author)

Peking University - Center for Quantitative Biology ( email )

China

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