Backward Hopf bifurcation in a mathematical model for oncolytic virotherapy with the infection delay and innate immune effects.

Abstract

In this paper, we consider a system of delay differential equations that models the oncolytic virotherapy on solid tumours with the delay of viral infection in the presence of the innate immune response. We conduct qualitative and numerical analysis, and provide possible medical implications for our results. The system has four equilibrium solutions. Fixed point analysis indicates that increasing the burst size and infection rate of the viruses has positive contribution to the therapy. However, increasing the immune killing infection rate, the immune stimulation rate, or the immune killing virus rate may lead the treatment failed. The viral infection time delay induces backward Hopf bifurcations, which means that the therapy may fail before time delay increases passing through a Hopf bifurcation. The parameter analysis also shows how saddle-node and Hopf bifurcations occur as viral burst size and other parameters vary, which yields further insights into the dynamics of the virotherapy.

• Authors: Yuxiao Guo, Ben Niu, Jianjun Paul Tian
• Journal: Journal of biological dynamics (J Biol Dyn) Vol. 13 Issue 1 Pg. 733-748 (12 2019) ISSN: 1751-3766 [Electronic] England
• PMID: 31532345 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.)

Topics

• Computer Simulation
• Immunity, Innate
• Models, Theoretical
• Oncolytic Virotherapy
• Oncolytic Viruses (physiology)