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Table 2 Equations for model V2, which differs from model V1 in having an additional assumption of lymphocyte exhaustion process. Parameter definitions and values: HSC population, H = 0.5; homeostasis probability of HSC differentiation into a myeloid cell, aM = 0.2; myeloid death rate, μM = 0.025; lymphocyte proliferation rate, pL =0.2; lymphocyte death rate, μL = 0. 4; pathogen proliferation rate, pP values vary. Pathogen killing rate by myeloid cells, κM = 0.6; pathogen killing rate by lymphocytes, κL = 1; HSC skew regulator, α = 0.8; rate of APC stimulation of lymphocytes, β = 0.2. Exhaustion effect increases in presence of pathogen. Rate of increase in exhaustion effect, γ1 = 0.005; degree to which pathogen affects onset of exhaustion, γ2 = 100; rate of dissipation of exhaustion effect, μexh = 0.002. See Additional file 1 for a concise summary and explanation of the equations and parameters for all models presented in this article

From: Alleviation of exhaustion-induced immunosuppression and sepsis by immune checkpoint blockers sequentially administered with antibiotics—analysis of a new mathematical model

Variable/function

Equation

Initial value

Myeloid cells (M)

\( \frac{dM}{dt}={f}_1(P)\cdotp {a}_MH-{\mu}_MM \)

M(t = o) = 4

Lymphocytes (L)

\( \frac{dL}{dt}=\left(1-{f}_1\cdotp {a}_M\right)H+{f}_2(M)\cdotp {p}_LL-\left(1+ exh\right)\cdotp {\mu}_LL \)

L(t = o) = 2

Pathogen (P)

\( \frac{dP}{dt}={p}_PP\left(1-\frac{1}{P_{\infty }}\right)-{\kappa}_MM\frac{P}{k+P}-{\kappa}_LL\frac{P}{k+P} \)

P(t = o) = 3

HSC differentiation skew

\( {f}_1(P)=\frac{1+\frac{\alpha }{a_M}P}{1+P} \)

f1(t = o) = 1

APC stimulation of lymphocytes

f2(M) = 1 + β(M − M0)

f2(t = o) = 1

Exhaustion function dynamics

\( \frac{dexh}{dt}=\frac{\gamma_1}{1+{e}^{-{\gamma}_2\left(P-1\right)}}-{\mu}_{exh} exh \)

exh(t = 0) = 0