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.

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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