Modeling hematopoietic system response caused by chronic exposure to ionizing radiation.
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2011-05
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Abstract
A new model of the hematopoietic system response in humans chronically exposed to ionizing radiation describes the dynamics of the hematopoietic stem cell compartment as well as the dynamics of each of the four blood cell types (lymphocytes, neutrophiles, erythrocytes, and platelets). The required model parameters were estimated based on available results of human and experimental animal studies. They include the steady-state number of hematopoietic stem cells and peripheral blood cell lines in an unexposed organism, amplification parameters for each blood line, parameters describing proliferation and apoptosis, parameters of feedback functions regulating the steady-state numbers, and characteristics of radiosensitivity related to cell death and non-lethal cell damage. The model predictions were tested using data on hematological measurements (e.g., blood counts) performed in 1950-1956 in the Techa River residents chronically exposed to ionizing radiation since 1949. The suggested model of hematopoiesis is capable of describing experimental findings in the Techa River Cohort, including: (1) slopes of the dose-effect curves reflecting the inhibition of hematopoiesis due to chronic ionizing radiation, (2) delay in effect of chronic exposure and accumulated character of the effect, and (3) dose-rate patterns for different cytopenic states (e.g., leukopenia, thrombocytopenia).
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Akushevich, Igor V, Galina A Veremeyeva, Georgy P Dimov, Svetlana V Ukraintseva, Konstantin G Arbeev, Alexander V Akleyev and Anatoly I Yashin (2011). Modeling hematopoietic system response caused by chronic exposure to ionizing radiation. Radiat Environ Biophys, 50(2). pp. 299–311. 10.1007/s00411-011-0351-3 Retrieved from https://hdl.handle.net/10161/14854.
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Scholars@Duke
Igor Akushevich
Svetlana Ukraintseva
Dr. Ukraintseva studies the causes of human aging and the associated decline in whole-body resilience, with the goal of identifying genetic and other factors that drive this decline and contribute to the age-related increase in all-cause mortality risk, ultimately limiting longevity even in individuals without major diseases. She also investigates the “multi-hit” mechanism of Alzheimer’s disease and the complex, including trade‑off–like, relationships between Alzheimer’s disease and cancer. She actively explores the role of infectious diseases and compromised immunity in Alzheimer’s development, as well as the interplay between vaccines and genetic factors, to advance personalized vaccine repurposing for AD prevention. To address these questions, Dr. Ukraintseva and her team analyze large human datasets containing comprehensive information on millions of individuals. She is a PI and key investigator on several NIH-funded grants and has authored more than 150 peer‑reviewed publications, including in major journals such as JAMA, Nature group journals, Stroke, Alzheimer’s & Dementia, and others.
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Konstantin Arbeev
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 Research Scientist and a Senior Research Scientist in the Department of Sociology and the Social Science Research Institute (SSRI). He is currently an Associate Research Professor in SSRI. Dr. Arbeev's major research interests are related to three interconnected fields of biodemography, biostatistics and genetic epidemiology as pertains to research on aging. The focus of his research is on discovering genetic and non-genetic factors that can affect the process of aging and determine longevity and healthy lifespan. He is interested in both methodological advances in this research area as well as their practical applications to analyses of large-scale longitudinal studies with phenotypic, genetic and, recently, genomic information. Dr. Arbeev authored and co-authored more than 150 peer-reviewed publications in these areas.
Anatoli I. Yashin
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