2003
DOI: 10.1016/s0362-546x(03)00197-4
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Global stability of a partial differential equation with distributed delay due to cellular replication

Abstract: In this paper, we investigate a nonlinear partial differential equation, arising from a model of cellular proliferation. This model describes the production of blood cells in the bone marrow. It is represented by a partial differential equation with a retardation of the maturation variable and a distributed temporal delay. Our aim is to prove that the behaviour of primitive cells influences the global behaviour of the population.

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Cited by 59 publications
(51 citation statements)
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“…Consider now Mackey's model (Figure 1), with the same assumptions as in the previous section, except that the length of the proliferating phase is assumed to be distributed according to a probability density -a probability kernel -denoted by f (a), with a ∈ (0, τ ), where a denotes the time spent by a cell in the proliferating phase (its age) [2,9,33]. In the original Mackey's model, presented in Section 3, the proliferating phase duration was supposed to be constant, the parameter τ representing an average duration of this phase.…”
Section: Model Of Hsc Dynamics With Distributed Delaymentioning
confidence: 99%
“…Consider now Mackey's model (Figure 1), with the same assumptions as in the previous section, except that the length of the proliferating phase is assumed to be distributed according to a probability density -a probability kernel -denoted by f (a), with a ∈ (0, τ ), where a denotes the time spent by a cell in the proliferating phase (its age) [2,9,33]. In the original Mackey's model, presented in Section 3, the proliferating phase duration was supposed to be constant, the parameter τ representing an average duration of this phase.…”
Section: Model Of Hsc Dynamics With Distributed Delaymentioning
confidence: 99%
“…Other models structured in age and maturity have been proposed [1,184,185], with comparable transport equations. It is also possible to discretise the maturity variable to yield a proliferationquiescence model with communicating compartments for differentiation, with distinction between self-renewal and differentiation rates, as in [3].…”
Section: (M Q(t M))q(t M)mentioning
confidence: 99%
“…Since then it has been improved and analyzed by many authors, including Mackey and co-authors [17,18,20,21] and Adimy et al [1,2,3,4]. All these works considered that the nonlinear term, which describes the rate of introduction of nonproliferating cells in the proliferating compartment, depends only on the nonproliferating cell number.…”
Section: Introductionmentioning
confidence: 99%
“…One question may arise: Is the number of activated cells independent of the number of actually proliferating cells ? Since a majority of hematopoietic stem cells (95%) is known to be nonproliferating (see [1,16]), one may suppose that a control operates on the proportion of proliferating cells, and the total number of hematopoietic stem cells probably plays a role in the introduction of nonproliferating cells in the proliferating compartment. The nature of this role cannot be detailed yet.…”
Section: Introductionmentioning
confidence: 99%