Modeling deterministic effects in hematopoietic system caused by chronic exposure to ionizing radiation in large human cohorts.

Journal Article (Journal Article)

A new model of the hematopoietic system for humans chronically exposed to ionizing radiation allows for quantitative description of the initial hematopoiesis inhibition and subsequent increase in the risks of late stochastic effects such as leukemia. This model describes the dynamics of the hematopoietic stem cell compartment as well as the dynamics of each of the three blood cell types (leukocytes, erythrocytes, and platelets). The model parameters are estimated from the results of other experiments. They include the steady-state numbers of hematopoietic stem cells and peripheral blood cell lines for an unexposed organism, amplification parameters for each blood cell line, parameters describing the proliferation and apoptosis, parameters of feedback functions regulating the steady-state numbers, and characteristics of radiosensitivity in respect to cell death and non-lethal cell damages. The dynamic model of hematopoiesis is applied to the data on a subcohort of the Techa River residents with hematological measurements (e.g., blood counts) performed in 1950-1956 (which totals to about 3,500 exposed individuals). Among well-described effects observed in these data are the slope values of the dose-effect curves describing the hematopoietic inhibition and the dose rate patterns of the fractions of cytopenic states (e.g., leukopenia, thrombocytopenia). The model has been further generalized by inclusion of the component describing the risk of late stochastic effects. The risks of the development of late effects (such as leukemia) in population groups with specific patterns of early reactions in hematopoiesis (such as leukopenia induced by ionizing radiation) are investigated using simulation studies and compared to data.

Full Text

Duke Authors

Cited Authors

  • Akushevich, IV; Veremeyeva, GA; Dimov, GP; Ukraintseva, SV; Arbeev, KG; Akleyev, AV; Yashin, AI

Published Date

  • September 2010

Published In

Volume / Issue

  • 99 / 3

Start / End Page

  • 322 - 329

PubMed ID

  • 20699693

Pubmed Central ID

  • PMC3830533

Electronic International Standard Serial Number (EISSN)

  • 1538-5159

International Standard Serial Number (ISSN)

  • 0017-9078

Digital Object Identifier (DOI)

  • 10.1097/hp.0b013e3181c61dc1


  • eng