Literature DB >> 7488958

A biomathematical model of granulocytopoiesis for estimation of stem cell numbers.

B Tibken1, E P Hofer.   

Abstract

In this paper a dynamic model of granulocytopoiesis is used to estimate stem cell numbers after acute and chronic irradiation. Regeneration data from irradiation accidents and bone marrow transplantation are investigated in the case of acute irradiation. Data from dogs living in a low-dose irradiation field are investigated for the case of chronic irradiation. The effects of acute irradiation and bone marrow transplantation are interpreted as a change of the initial conditions of the model, while the effect of chronic irradiation is interpreted as a continuous cell loss in the proliferating cell compartments of the model. The unknown initial conditions of the model are computed on the basis of real patient and dog data with the help of a suitably constructed optimization problem. The numerical solution of this optimization problem will only be sketched in this paper. In all cases discussed in this paper, a very good agreement between the model and the real data is achieved.

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Year:  1995        PMID: 7488958     DOI: 10.1002/stem.5530130735

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  3 in total

1.  Stability of a model of human granulopoiesis using continuous maturation.

Authors:  Ivar Østby; Ragnar Winther
Journal:  J Math Biol       Date:  2004-07-05       Impact factor: 2.259

2.  A model of cytotoxic dose-response nonlinearities arising from adaptive cell inventory management in tissues.

Authors:  Louis Anthony Tony Cox
Journal:  Dose Response       Date:  2006-05-22       Impact factor: 2.658

3.  Modeling hematopoietic system response caused by chronic exposure to ionizing radiation.

Authors:  Igor V Akushevich; Galina A Veremeyeva; Georgy P Dimov; Svetlana V Ukraintseva; Konstantin G Arbeev; Alexander V Akleyev; Anatoly I Yashin
Journal:  Radiat Environ Biophys       Date:  2011-01-23       Impact factor: 1.925

  3 in total

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