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A Novel Dynamic Model Describing the Spread of the MERS-CoV and the Expression of Dipeptidyl Peptidase 4
Siming Tang1, Wanbiao Ma1, Peifan Bai1
1Department of Applied Mathematics, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Abstract:
The Middle East respiratory syndrome (MERS) coronavirus, a newly identified pathogen, causes severe pneumonia in humans. MERS is caused by a coronavirus known as MERS-CoV, which attacks the respiratory system. The recently defined receptor for MERS-CoV, dipeptidyl peptidase 4 (DPP4), is generally expressed in endothelial and epithelial cells and has been shown to be present on cultured human nonciliated bronchiolar epithelium cells. In this paper, a class of novel four-dimensional dynamic model describing the infection of MERS-CoV is given, and then global stability of the equilibria of the model is discussed. Our results show that the spread of MERS-CoV can also be controlled by decreasing the expression rate of DPP4.
Insights
Controlling Middle East respiratory syndrome coronavirus (MERS-CoV) spread may be possible by reducing the expression rate of its receptor, dipeptidyl peptidase 4 (DPP4). This finding stems from a novel four-dimensional dynamic model of MERS-CoV infection.
Area of Science:
- Virology
- Epidemiology
- Mathematical Biology
Background:
- Middle East respiratory syndrome (MERS) is a severe respiratory illness caused by the MERS coronavirus (MERS-CoV).
- The dipeptidyl peptidase 4 (DPP4) receptor has been identified as crucial for MERS-CoV entry into human cells.
- DPP4 is expressed in various human cells, including those in the respiratory tract.
Purpose of the Study:
- To develop a novel four-dimensional dynamic model for MERS-CoV infection.
- To analyze the global stability of the model's equilibria.
- To identify potential strategies for controlling MERS-CoV spread.
Main Methods:
- Development of a four-dimensional mathematical model to simulate MERS-CoV infection dynamics.
- Analysis of the model's equilibria to determine global stability properties.
- Investigation of the impact of DPP4 expression rates on MERS-CoV transmission.
Main Results:
- The study presents a novel four-dimensional dynamic model for MERS-CoV.
- Global stability analysis of the model's equilibria was performed.
- Results indicate that decreasing the DPP4 expression rate can help control MERS-CoV spread.
Conclusions:
- The mathematical model provides insights into MERS-CoV infection dynamics.
- Reducing DPP4 expression is a potential therapeutic or preventative strategy against MERS-CoV.
- Further research can explore DPP4 modulation for MERS control.
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