From 1949 onwards, radioactive waste was released into the Techa River in the southern Urals and the population living along the river was exposed to ionising radiation. Relocation of these people did not start until several years later, causing many individuals to be exposed to substantial doses from internal and external radiation. The identification and follow-up of the exposed individuals started more than 40 years ago and is still continuing. The Techa River offspring cohort (TROC) that has recently been established, comprises 10,459 children born to at least one parent living along the Techa River during the period 1950-1992. Of these children, 3,897 were born during the period of highest release, i.e. between 1950 and 1956 and might thus have been exposed in utero. A total of 1,103 individuals have since died mainly due to infectious and respiratory diseases, injury and poisoning. Only 25 cases were identified as having died of a malignant condition. The radioactive contamination of the Techa River in the southern Urals gives a unique possibility to study the adverse effects of protracted exposure to ionising radiation in a large well-described cohort. The Techa River offspring cohort will make it possible to study the effects on those exposed in utero or early in life and the follow-up of the cohort in the future is, therefore, of great importance. Comparisons with other cohorts of humans exposed early in life, will increase our knowledge in this field of research.
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http://dx.doi.org/10.1007/s004110000074 | DOI Listing |
Dokl Biochem Biophys
December 2024
Urals Research Center for Radiation Medicine of the Federal Medical and Biological Agency of Russia, Chelyabinsk, Russia.
The objective of this work was to study the expression of the TBX21, RORC, GATA3, NFKB1, MAPK8, and STAT3 genes responsible for the regulation of the differentiation of various T-helper subpopulations in individuals chronically exposed to radiation. The object of the study was peripheral blood cells obtained from 120 persons chronically exposed to radiation in a wide range of doses on the Techa River. The mean cumulative absorbed dose to red bone marrow in the examined exposed individuals was 742.
View Article and Find Full Text PDFThe objective of this study is to evaluate the uncertainties of the dosimetric modeling of active marrow (AM) exposure from bone-seeking Sr. The stochastic parametric skeletal dosimetry (SPSD) model was specifically developed to study the long-term effects resulting from chronic Sr exposure in populations of the radioactively contaminated territories of the Southern Urals region of the Russian Federation. The method permits the evaluation of the dose factors ( and , which convert the radionuclide activity concentration in trabecular () and cortical () bone volumes into dose rate in the , and their uncertainties.
View Article and Find Full Text PDFRadiat Prot Dosimetry
September 2023
Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, Washington, 99354, USA.
Tooth enamel Electron Paramagnetic Resonance (EPR) spectroscopy was used as a method for external dosimetry in the territories contaminated in the 1950s by PA 'Mayak' (Urals region) to validate the mean dose estimates predicted by the Techa River Dosimetry System (TRDS). The purpose of this study is to validate the uncertainties of TRDS doses. Ninety percent confidence intervals (90% confidence interval, CI) of dose estimated with both methods were compared for 220 people.
View Article and Find Full Text PDFPLoS One
August 2023
Biophysics Laboratory, Urals Research Center for Radiation Medicine, Chelyabinsk, Russia.
Radiat Res
April 2023
Distinguished Professor of Science Emeritus, Department of Biology, College of the Holy Cross, Worcester, Massachusetts 01610.
This study explores the likely prevalence of false indications of dose-response nonlinearity in large epidemiologic cancer radiation cohort studies (A-bomb survivors, INWORKS, Techa River). Reasons: Increasing numbers of tests of nonlinearity are being made in studies. Hypothesized nonlinear dose-response models have been justified to policy makers by analyses that rely in part on isolated findings that could be statistical fluctuations.
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