Adding self-renewal in committed erythroid progenitors improves the biological relevance of a mathematical model of erythropoiesis

Crauste, Fabien; Praly, Laurent; Génieys, Stéphane; Molina, Clement; Gandrillon, Olivier

doi:10.1016/j.jtbi.2007.09.041

Cited by 45 publications

(85 citation statements)

References 51 publications

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“…Few important topics were studied but did not manage to become clear trends for the 2000's: they were for instance stressed erythropoiesis [91], [2], [49], [63], [14], [13], [16], [11], megakaryopoiesis [259], [36], cell markers applied to blood cells [61], senescence [206], [116] or rare diseases such as beta-thalassemia [236] to mention few of them.…”

Section: The 2000's: From One Generation To Anothermentioning

confidence: 99%

Blood Cell Dynamics: Half of a Century of Modelling

Praly

2016

Math. Model. Nat. Phenom.

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Abstract. The objective of this paper is to give a review of the main works dealing with mathematical modeling of blood cell formation, disorders and treatments within the past fifty years. From the first models to the most recent ones, this research field has inspired many leading experts in mathematics, biology, physics, physiology and computer sciences. Each contribution was a step further to the understanding of these complex processes. This work summarizes the key ones and tries to show not only the evolution of the interest for this problem but also the different research trends throughout the decades up to the latest models of the past years.

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Section: The 2000's: From One Generation To Anothermentioning

confidence: 99%

Blood Cell Dynamics: Half of a Century of Modelling

Praly

2016

Math. Model. Nat. Phenom.

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“…It has been proven for instance by Crauste et al (2008) that EPO was not the only growth factor involved in the recovery of red blood cell homeostasis in case of stress erythropoiesis (anemia, important blood loss, blood transfusion, etc.). It was indeed shown mathematically that some glucocorticoids were necessary to explain the rapid recovery of normal red blood cell levels in mice suffering from severe loss of erythrocytes.…”

Section: Some Success Storiesmentioning

confidence: 99%

Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies

Alkhateeb¹,

Maghayreh²,

Doush³

2011

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“…Previous models of the kinetics of erythropoiesis have been developed by Loeffler and Wichmann (1980), Loeffler et al (1989), Bélair et al (1995), Mahaffy et al (1998), Banks et al (2004), Ackleh et al (2006), Crauste et al (2008, 2010), and Fischer et al (2012), to name a few. These studies were focused on stress erythropoiesis, the role of self-renewal in the recovery process, and, more recently, the role of macrophage islands on the regulation of erythropoiesis.…”

Section: Introductionmentioning

confidence: 99%

“…These studies were focused on stress erythropoiesis, the role of self-renewal in the recovery process, and, more recently, the role of macrophage islands on the regulation of erythropoiesis. A detailed review of models of erythropoiesis can be found in Crauste et al (2008).…”

Section: Introductionmentioning

confidence: 99%

Stochastic modeling of stress erythropoiesis using a two-type age-dependent branching process with immigration

et al. 2014

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The erythroid lineage is a particularly sensitive target of radiation injury. We model the dynamics of immature (BFU-E) and mature (CFU-E) erythroid progenitors, which have markedly different kinetics of recovery, following sublethal total body irradiation using a two-type reducible age-dependent branching process with immigration. Properties of the expectation and variance of the frequencies of both types of progenitors are presented. Their explicit expressions are derived when the process is Markovian, and their asymptotic behavior is identified in the age-dependent (non-Markovian) case. Analysis of experimental data on the kinetics of BFU-E and CFU-E reveals that the probability of self-renewal increases transiently for both cell types following sublethal irradiation. In addition, the probability of self-renewal increased more for CFU-E than for BFU-E. The strategy adopted by the erythroid lineage ensures replenishment of the BFU-E compartment while optimizing the rate of CFU-E recovery. Finally, our analysis also indicates that radiation exposure causes a delay in BFU-E recovery consistent with injury to the hematopoietic stem/progenitor cell compartment that give rise to BFU-E. Erythroid progenitor self-renewal is thus an integral component of the recovery of the erythron in response to stress.

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Adding self-renewal in committed erythroid progenitors improves the biological relevance of a mathematical model of erythropoiesis

Cited by 45 publications

References 51 publications

Blood Cell Dynamics: Half of a Century of Modelling

Blood Cell Dynamics: Half of a Century of Modelling

Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies

Stochastic modeling of stress erythropoiesis using a two-type age-dependent branching process with immigration

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