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Numerical integration of an erythropoiesis model with explicit growth factor dynamics.

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Title: Numerical integration of an erythropoiesis model with explicit growth factor dynamics.
Authors: Angulo, O.1, Crauste, F.2,3, López-Marcos, J.C.4
Source: Journal of Computational & Applied Mathematics. Mar2018, Vol. 330, p770-782. 13p.
Subjects: Erythropoiesis, Numerical integration, Growth factors, Erythrocytes, Progenitor cells, Glucocorticoids
Abstract: Erythropoiesis, the red blood cell production process, involves interactions between cell populations with different differentiation states, mainly immature progenitor cells and mature erythrocytes, and growth factors such as erythropoietin and glucocorticoids, known to respectively inhibit cell apoptosis, stimulate proliferation and differentiation, and stimulate self-renewal. The feedback regulation of this process allows a very fast and efficient recovery in the case of a severe anemia. We consider an age-structured model of red blood cell production accounting for these feedback regulations and the dynamics of growth factors. We theoretically show the existence of a unique positive steady state for the model and we propose a numerical method to obtain an approximation to its solution. Experiments are reported to show numerically, on one hand, the optimal convergence order of the numerical scheme and, on the other hand, a fine approximation to real experimental data, with a suitable selection of the parameters involved. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Erythropoiesis, the red blood cell production process, involves interactions between cell populations with different differentiation states, mainly immature progenitor cells and mature erythrocytes, and growth factors such as erythropoietin and glucocorticoids, known to respectively inhibit cell apoptosis, stimulate proliferation and differentiation, and stimulate self-renewal. The feedback regulation of this process allows a very fast and efficient recovery in the case of a severe anemia. We consider an age-structured model of red blood cell production accounting for these feedback regulations and the dynamics of growth factors. We theoretically show the existence of a unique positive steady state for the model and we propose a numerical method to obtain an approximation to its solution. Experiments are reported to show numerically, on one hand, the optimal convergence order of the numerical scheme and, on the other hand, a fine approximation to real experimental data, with a suitable selection of the parameters involved. [ABSTRACT FROM AUTHOR]
ISSN:03770427
DOI:10.1016/j.cam.2017.01.033