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

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Date
2010-09
Authors
Akushevich, Igor V
Veremeyeva, Galina A
Dimov, Georgy P
Ukraintseva, Svetlana V
Arbeev, Konstantin G
Akleyev, Alexander V
Yashin, Anatoly I
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Abstract
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.
Type
Journal article
Subject
Apoptosis
Blood Cell Count
Blood Platelets
Cell Differentiation
Cell Proliferation
Cohort Studies
Environmental Exposure
Erythrocytes
Hematopoietic System
Humans
Leukocytes
Models, Biological
Mutagenesis
Population Groups
Radiation, Ionizing
Stochastic Processes
Time Factors
Permalink
https://hdl.handle.net/10161/14859
Published Version (Please cite this version)
10.1097/HP.0b013e3181c61dc1
Publication Info
Akushevich, Igor V; Veremeyeva, Galina A; Dimov, Georgy P; Ukraintseva, Svetlana V; Arbeev, Konstantin G; Akleyev, Alexander V; & Yashin, Anatoly I (2010). Modeling deterministic effects in hematopoietic system caused by chronic exposure to ionizing radiation in large human cohorts. Health Phys, 99(3). pp. 322-329. 10.1097/HP.0b013e3181c61dc1. Retrieved from https://hdl.handle.net/10161/14859.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Igor Akushevich

Research Professor in the Social Science Research Institute
Arbeev

Konstantin Arbeev

Associate Research Professor in the Social Science Research Institute
Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock (Germany) before moving to Duke University in 2004 to work as a Resea
Ukraintseva

Svetlana Ukraintseva

Associate Research Professor in the Social Science Research Institute
Dr. Ukraintseva studies causes of human aging and related decline in resilience, to identify genetic and other factors responsible for the increase in mortality risk with age eventually limiting longevity. She explores complex relationships, including trade-offs, between physiological aging-changes and risks of major diseases (with emphasis on Alzheimer’s and cancer), as well as survival, to find new genetic and other targets for anti-aging interventions and disease prevention. S
Yashin

Anatoli I. Yashin

Research Professor in the Social Science Research Institute
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