Abstract
We formulate a mathematical model of functional partial differential equations for oncolytic virotherapy which incorporates virus diffusivity, tumor cell diffusion, and the viral lytic cycle based on a basic oncolytic virus dynamics model. We conduct a detailed analysis for the dynamics of the model and carry out numerical simulations to demonstrate our analytic results. Particularly, we establish the positive invariant domain for the \(\omega \) limit set of the system and show that the model has three spatially homogenous equilibriums solutions. We prove that the spatially uniform virus-free steady state is globally asymptotically stable for any viral lytic period delay and diffusion coefficients of tumor cells and viruses when the viral burst size is smaller than a critical value. We obtain the conditions, for example the ratio of virus diffusion coefficient to that of tumor cells is greater than a value and the viral lytic cycle, is greater than a critical value, under which the spatially uniform positive steady state is locally asymptotically stable. We also obtain conditions under which the system undergoes Hopf bifurcations, and stable periodic solutions occur. We point out medical implications of our results which are difficult to obtain from models without combining diffusive properties of viruses and tumor cells with viral lytic cycles.
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Acknowledgements
JZ and JPT would like to acknowledge the support from U54CA132383 of NIH (awarded to JPT), Fundamental Research Funds for the Universities in Heilongjiang Province (No: RCCX201718, awarded to JZ) and Fundamental Research Funds of Education Department of Heilongjiang Province (No: 135109228, awarded to JZ). The authors would like to acknowledge the suggestion of model formulation from Philip K. Maini. The authors would like to thank two anonymous reviewers for their insightful comments and constructive suggestions which greatly help in improving the presentation of our results.
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Appendix: Stability and Direction of the Hopf Bifurcations
Appendix: Stability and Direction of the Hopf Bifurcations
Theory of functional reaction–diffusion systems says that a family of spatially homogeneous or inhomogeneous periodic solutions may bifurcate from the positive homogeneous equilibrium state \(E^{*}\) of the system (5) when \(\tau \) crosses through the critical value \(\tau ^{*}\). In Appendix, we investigate the stability and direction of Hopf bifurcations by using the center manifold theorem and the normal formal theory of partial functional differential equation (Faria 2000; Wu 2012). Basically, the system (5) firstly is represented as an abstract ODE system. Secondly, at the center manifold of the ODE system corresponding to \(E^{*}\), the normal form or Taylor expansion of the ODE system is computed. Then, the coefficients of the first four terms of the normal form will reveal all the properties of the periodical solutions (Hassard et al. 1981). At the end, we briefly describe the numerical method we use to solve our system.
Let \(u_1(\cdot ,t)=u(\cdot ,\tau t)-u^{*},~u_2(\cdot ,t)=w(\cdot ,\tau t)-w^{*},~u_3(\cdot ,t)=v(\cdot ,\tau t)-v^{*}\) and \(U(t)=(u_1(\cdot ,t),u_2(\cdot ,t),u_3(\cdot ,t))^T\). Then, the system (5) can be written as an equation in the function space \(\mathscr {C}=C([-1,0],X):\)
where \(D=\text {diag}(d_1,d_1,d_2)\), \(L(\tau )(\cdot ):\mathscr {C}\rightarrow X\) and \(f:\mathscr {C}\times \mathbb {R}\mathscr {c}\rightarrow X\) are given, respectively, by
with
for \(\varphi =(\varphi _1,\varphi _2,\varphi _3)^\text {T} \in \mathscr {C}\).
Let \(\tau =\tau ^{*}+\sigma \), then (19) can be rewritten as
where
for \(\varphi \in \mathscr {C}\).
From the previous subsection, when \(\sigma =0\) (i.e. \(\tau =\tau ^{*}\)) the system (20) undergoes Hopf bifurcation at the equilibrium (0, 0, 0), it is also clear that \(\pm \text {i}\omega ^{*}\tau ^{*}\) are simply purely imaginary eigenvalues of the linearized system of (20) at the origin
with \(\sigma =0\) and all other eigenvalues of (21) at \(\sigma =0\) have negative real parts.
The eigenvalues of \(\tau D \Delta \) on X are \(-\tau d_1\mu _n\) (the number of multiples is two) and \(-\tau d_2\mu _n,~n\in \mathbb {N}_0\), with corresponding eigenfunctions \(\beta _n^1(x)=(\gamma _n(x),0,0)^T, ~\beta _n^2(x)=(0,\gamma _n(x),0)^T\) and \(\beta _n^3(x)=(0,0, \gamma _n(x))^T\), where \(\gamma _n(x)=\frac{\phi _n(x)}{(\int _\omega \phi _n(x)\text {d}x)^{\frac{1}{2}}}.\)
We have that the solution operator of (21) is a \(C_0\) semigroup, and the infinitesimal generator \(A_{\sigma }\) is given by
and the domain \(\text {dom}(A_{\sigma })\) of \(A_{\sigma }\) is
Hence, Eq. (20) can be rewritten as the abstract ODE in \(\mathscr {C}\):
where
We denote
For \(\phi =(\phi ^{^{(1)}},\phi ^{^{(2)}})^{T}\in \mathscr {C}\), we denote
Define \(A_{\sigma , n}\) as
Furthermore, we have
and
where
Define \(\mathscr {C}^{*}=C([0,1];X)\) and a bilinear form \((\cdot ,\cdot )\) on \(\mathscr {C}^{*}\times \mathscr {C}\)
where \((\cdot ,\cdot )_c\) is the bilinear form defined on \(C^{*}\times C\)
and
with
Notice that
we have
We define the adjoint operator \(A^{*}\) of \(A_0\)
Let
be the eigenfunctions of \(A_0,\) and \(A^{*}\) corresponds to \(i\omega ^{*}\tau ^{*}\) and \(-i\omega ^{*}\tau ^{*}\), respectively. By direct calculations, we chose
where
and
Obviously, \((q^{*},q)_{c}=1\). Then, we decompose \(\mathscr {C}\) by
\(\mathscr {C}=P\oplus Q\), where
Thus, system (23) could be rewritten as
where
As in Hassard et al. (1981), we have
Then, it follows that
where
With the center manifold theorem (Lin et al. 1992), there exists a center manifold \(\mathcal {C}_0\) and on \(\mathcal {C}_0\), we have
where z and \(\bar{z}\) are local coordinates for center manifold \(\mathcal {C}_0\) in the direction of \(q\gamma _{n_0}\) and \(\bar{q}\gamma _{n_0}\), respectively. For solution \(U_t\in \mathcal {C}_0\), we denote
and
For convenience, we rewrite (26) as
and denote
From direct calculation, we get
and
Here, \(w_{11}\) and \(w_{20}\) are need to be computed. From (25), we have
where
Obviously,
Comparing the coefficients of (28) with the derived function of (27), we obtain
From (22) and (29), for \(\theta \in [-1,0)\), we have
where \(E_1\) and \(E_2\) are both three-dimensional vectors in X and can be determined by setting \(\theta =0\) in H. In fact, set \(\theta =0\) and by (29) and (30), we obtain
The terms \(\tilde{F}''_{zz}\) and \(\tilde{F}''_{z\bar{z}}\) are elements in the space \(\mathscr {C}\), and
We denote
then from (31) we have
Thus, \(E_1^n\) and \(E_2^n\) could be calculated by
where
Hence, \(g_{21}\) could be represented explicitly.
We denote
Then, by the general Hopf bifurcation theory (see Hassard et al. 1981), we know that \(\mu \) determines the directions of the Hopf bifurcation: If \(\mu >0(<0)\), then the direction of the Hopf bifurcation is forward (backward), that is the bifurcating periodic solutions exist when \(a>0(<0)\); \(\beta _2\) determines the stability of the bifurcating periodic solutions: The bifurcating periodic solutions are orbitally stable(unstable) if \(\beta _2<0(>0)\), and \(T_2\) determines the period of the bifurcation periodic solutions: The period increases(decreases) if \(T_2>0(<0)\).
We now describe briefly the numerical method we use to solve the system (5) as follows. For \(\Omega =(0,p\pi )\times (0,q\pi )\), let \(x_i=ih_x, i=1,2,\cdots , l, h_x=\frac{p\pi }{l},y_j=jh_y, j=1,2,\cdots , m, h_y=\frac{q\pi }{m}, ,t_k=kh_t, h_t=\frac{\tau }{N}\) (N is a positive integer), and \(u(i,j,k)=u(x_i,y_j,t_k),v(i,j,k) =v(x_i,y_j,t_k),w(i,j,k)=w(x_i,y_j,t_k)\). We replace \(\frac{\partial u(x_i,y_j,t_k)}{\partial t}\) with a first-order difference \(\frac{u(i,j,k+1)-u(i,j,k)}{h_t}\) and replace \(\frac{\partial ^2 u(x_i,y_j,t_k)}{\partial x^2}+\frac{\partial ^2 u(x_i,y_j,t_k)}{\partial y^2}\) with a second-order difference \(\frac{u(i+1,j,k)-2u(i,j,k)+u(i-1,j,k)}{h_x}+\frac{u(i,j+1,k) -2u(i,j,k)+u(i,j-1,k)}{h_y}\). Similarly, we take differences of the partial derivative of v and w. Then, we get a system of difference equations:
We implement this method in MATLAB and obtain numerical solutions of the system (5).
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Zhao, J., Tian, J.P. Spatial Model for Oncolytic Virotherapy with Lytic Cycle Delay. Bull Math Biol 81, 2396–2427 (2019). https://doi.org/10.1007/s11538-019-00611-2
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DOI: https://doi.org/10.1007/s11538-019-00611-2