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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">radhyd</journal-id><journal-title-group><journal-title xml:lang="ru">Радиационная гигиена</journal-title><trans-title-group xml:lang="en"><trans-title>Radiatsionnaya Gygiena = Radiation Hygiene</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-426X</issn><issn pub-type="epub">2409-9082</issn><publisher><publisher-name>NIIRG</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21514/1998-426X-2024-17-2-53-63</article-id><article-id custom-type="elpub" pub-id-type="custom">radhyd-1039</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Научные статьи</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Scientific articles</subject></subj-group></article-categories><title-group><article-title>Переход от частоты хромосомных транслокаций в Т-лимфоцитах к дозе на  костный мозг в отдаленные сроки после внутреннего облучения  89,90Sr</article-title><trans-title-group xml:lang="en"><trans-title>Conversion from the frequency of chromosome translocations in T-lymphocytes   to the bone marrow dose in the long-term period after internal  89,90 Sr exposure</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4958-3214</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Толстых</surname><given-names>Е. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Tolstykh</surname><given-names>E. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Толстых Евгения Игоревна  – доктор биологических наук, ведущий научный сотрудник биофизической лаборатории</p><p>454076,  г. Челябинск, ул. Воровского, 68-А</p></bio><bio xml:lang="en"><p>Evgenia  I.  Tolstykh  –  Doctor  of  Biological  Sciences, Leading  Researcher  of  the  Biophysics  laboratory</p><p> Vorovsky str., 68A, Chelyabinsk, 454141</p></bio><email xlink:type="simple">evgenia@urcrm.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уральский научно-практический центр радиационной медицины Федерального медико-биологического агентства России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Urals Research  Center  for Radiation Medicine of  the Federal Medical Biological Agency</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>04</day><month>07</month><year>2024</year></pub-date><volume>17</volume><issue>2</issue><fpage>53</fpage><lpage>63</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Толстых Е.И., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Толстых Е.И.</copyright-holder><copyright-holder xml:lang="en">Tolstykh E.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.radhyg.ru/jour/article/view/1039">https://www.radhyg.ru/jour/article/view/1039</self-uri><abstract><p>Цитогенетические исследования Fluorescence In Situ Hybridization, позволяющие оценивать частоту стабильных хромосомных аберраций в циркулирующих Т-лимфоцитах, обычно используются  в  ретроспективной  дозиметрии  в  случае  равномерного  облучения  всего  тела.  В  случае  неравномерного  облучения  89,90Sr  интерпретация  цитогенетических  данных  является  сложной  задачей. Средневзвешенная доза на Т-лимфоциты на момент забора крови донора в отдаленные сроки после воздействия 89,90Sr не  совпадает  с  дозой  на  красный  костный  мозг.  Ранее  нами  была  разработана модель, позволяющая оценивать средневзвешенные дозы на Т-лимфоциты при поступлении 89,90Sr лицам различного возраста. В настоящей работе результаты моделирования использованы для оценки коэффициентов, позволяющих перейти от частоты транслокаций к дозе на красный костный мозг, которая  важна  для  оценок  радиобиологических  эффектов,  связанных  с  гематологическими  заболеваниями. Целью нашей работы является численная оценка коэффициента перехода Brbm от дозы на лимфоциты к дозе на красный костный мозг при различных режимах перорального поступления 89,90Sr в зависимости от возраста, пола и времени после начала облучения. Рассмотрены следующие режимы: однократное, равномерное хроническое в течение полугода, равномерное хроническое в течение  1–5  лет,  неравномерное  поступление  в  течение  5  лет  (имитирует  динамику  поступления в населенных пунктах на реке Теча в 1950–1954 гг.). В результате было обнаружено, что значения коэффициентов Brbm существенно зависят от возраста на момент поступления 89,90Sr. Чем старше человек  на  момент  начала  облучения,  тем  в  большей  мере  доза,  оцененная  по  цитогенетическим данным, отличается (существенно ниже) от дозы на красный костный мозг. Только для новорожденных  и  детей  первых  лет  жизни  можно  сказать,  что  цитогенетическая  доза  соответствует дозе на красный костный мозг. Это связано с возрастной динамикой Т-клеточных популяций. Пол не оказывает существенного влияния на Brbm. Влияние длительности поступления 89,90Sr на Brbm наиболее выражено для подростков 15 лет. Для них отличая значений Brbm при однократном и хроническом  5-летнем  поступлении  достигают  13%.  Неравномерность  поступления 90Sr  в  течение  нескольких лет не оказывает существенного влияния на Brbm и может моделироваться равномерным поступлением той же длительности.</p></abstract><trans-abstract xml:lang="en"><p>Cytogenetic Fluorescence In Situ Hybridization studies, that allow assessing the frequency of stable chromosome  aberrations  in  circulating  T  lymphocytes,  are  commonly  used  in  retrospective  dosimetry  in  cases of uniform whole-body exposure. In the event of 89,90Sr exposure, interpretation of cytogenetic data is challenging,  especially  if  blood  sampling  occurs  long  after  the  start  of  exposure.  The  weighted  average  dose  to T-lymphocytes at the time of donor blood sampling in the long-term period after exposure to 89,90Sr does not coincide  with  the  red  bone  marrow  dose.  Previously,  we  developed  a  model  that  allows  us  to  estimate  the weighted average doses to T-lymphocytes upon 89,90Sr ingress into the body of people belonging to various age groups. In this study, the modeling results were used to estimate the conversion factors from the frequency of translocations to the red bone marrow dose, which is important for assessing radiobiological effects associated with hematological diseases. The objective of our study is to estimate numerically the conversion factors (Brbm) from the dose to lymphocytes to the dose to red bone marrow for various scenarios of 89,90Sr ingestion depending on age, sex, and time after the start of exposure. The following scenarios are considered: single, uniform chronic for six months, uniform chronic for 1-5 years, non-uniform intake for 5 years (simulates the dynamics of intake in the Techa riverside settlements in 1950-1954). As a result, it has been found that the Brbm values significantly depend on the age at the time of 89,90Sr intake. The older the person is at the start of exposure, the more the cytogenetic dose differs (it is significantly lower) from the dose to the red bone marrow. We can say that the cytogenetic dose corresponds to the red bone marrow dose only in newborns and infants. This is due to the age-related dynamics of T-cell populations. Sex does not have a significant effect on Brbm. The effect of the 89,90Sr intake duration on Brbm is the most pronounced for 15-year-old adolescents. For them, the difference in Brbm values for a single and chronic 5-year ingress reaches 13%. Non-uniform intake of 90Sr over several years does not have a significant effect on Brbm and can be modelled by a uniform intake of the same duration.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Т-лимфоциты</kwd><kwd>дозовые  коэффициенты</kwd><kwd>89</kwd><kwd>90 Sr</kwd><kwd>внутреннее  облучение</kwd><kwd>биодозиметрия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Т-lymphocytes</kwd><kwd>dose coefficients</kwd><kwd>89</kwd><kwd>90 Sr</kwd><kwd>internal exposure</kwd><kwd>biodosimetry</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа  была  выполнена  при  финансовой  поддержке  ФМБА  России,  номер  государственного  учёта  НИР  в  ЕГИСУ 122040400135-0.</funding-statement><funding-statement xml:lang="en">The work was supported by the Federal Medical Biological  Agency of Russia, state registration number of research work  in EGISU 122040400135-0.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Nakayama R., Abe Y., Ting V.G.S. et al. Cytogenetic Biodosimetry in Radiation Emergency Medicine: 4. Overview of Cytogenetic Biodosimetry // Radiation Environment and Medicine. 2022. Vol. 11, № 2. P. 91-103. https://doi.org/10.51083/radiatenvironmed.11.2_91</mixed-citation><mixed-citation xml:lang="en">Nakayama R., Abe Y., Ting V.G.S. et al. Cytogenetic Biodosimetry in Radiation Emergency Medicine: 4. Overview of Cytogenetic Biodosimetry // Radiation Environment and Medicine. 2022. Vol. 11, № 2. P. 91-103. https://doi.org/10.51083/radiatenvironmed.11.2_91</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">МАГАТЭ Использование цитогенетической дозиметрии для обеспечения готовности и реагирования при радиационных аварийных ситуациях. URL : https://www-pub.iaea.org/MTCD/Publications/PDF/EPR_Biodosimetry2011R_web.pdf (Дата обращения: 17.5.2022).</mixed-citation><mixed-citation xml:lang="en">МАГАТЭ Использование цитогенетической дозиметрии для обеспечения готовности и реагирования при радиационных аварийных ситуациях. URL : https://www-pub.iaea.org/MTCD/Publications/PDF/EPR_Biodosimetry2011R_web.pdf (Дата обращения: 17.5.2022).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Giussani A., Lopez M.A., Romm H. et al. Eurados review of retrospective dosimetry techniques for internal exposures to ionising radiation and their applications // Radiation and Environmental Biophysics. 2020. Vol. 59 , № 3. P. 357-387. doi: 10.1007/s00411-020-00845-y.</mixed-citation><mixed-citation xml:lang="en">Giussani A., Lopez M.A., Romm H. et al. Eurados review of retrospective dosimetry techniques for internal exposures to ionising radiation and their applications // Radiation and Environmental Biophysics. 2020. Vol. 59 , № 3. P. 357-387. doi: 10.1007/s00411-020-00845-y.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Толстых Е.И., Дегтева М.О. Оценка доз облучения лимфоцитов и их предшественников при пероральном поступлении стронция-89,90 // Радиационная гигиена. 2022. Т. 15, № 3. С. 82-91. https://doi.org/10.21514/1998-426X-2022-15-3-82-91.</mixed-citation><mixed-citation xml:lang="en">Tolstykh EI, Degteva MO. Estimation of radiation doses on lymphocytes and their progenitors after ingestion of strontium-89,90. Radiatsionnaya gygiena=Radiation Hygiene. 2022;15(3): 82-91. https://doi.org/10.21514/1998-426X-2022-15-3-82-91.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Vozilova A.V., Shagina N.B., Degteva M.O. et al. FISH analysis of translocations induced by chronic exposure to Sr radioisotopes: second set of analysis of the Techa River Cohort // Radiation Protection Dosimetry. 2014. Vol. 159, № 1-4. P. 34-37. doi: 10.1093/rpd/ncu131. Epub 2014 Apr 17. PMID: 24743760.</mixed-citation><mixed-citation xml:lang="en">Vozilova A.V., Shagina N.B., Degteva M.O. et al. FISH analysis of translocations induced by chronic exposure to Sr radioisotopes: second set of analysis of the Techa River Cohort // Radiation Protection Dosimetry. 2014. Vol. 159, № 1-4. P. 34-37. doi: 10.1093/rpd/ncu131. Epub 2014 Apr 17. PMID: 24743760.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Degteva M.O., Shishkina E.A., Tolstykh E.I. et al. Application of the EPR and FISH Methods to Dose Reconstruction for People Exposed in the Techa River Area // Radiation biology. Radioecology. 2017. Vol. 57, № 1. P. 30-41. (English, Russian). PMID: 30698929.</mixed-citation><mixed-citation xml:lang="en">Degteva M.O., Shishkina E.A., Tolstykh E.I. et al. Application of the EPR and FISH Methods to Dose Reconstruction for People Exposed in the Techa River Area // Radiation biology. Radioecology. 2017. Vol. 57, № 1. P. 30-41. (English, Russian). PMID: 30698929.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">ISO 20046. 2019. Radiological protection – Performance criteria for laboratories using Fluorescence In Situ Hybridization (FISH) translocation assay for assessment of exposure to ionizing radiation. URL: https://www.iso.org/standard/66892.html ( Дата обращения: 27.12.2022)</mixed-citation><mixed-citation xml:lang="en">ISO 20046. 2019. Radiological protection – Performance criteria for laboratories using Fluorescence In Situ Hybridization (FISH) translocation assay for assessment of exposure to ionizing radiation. URL: https://www.iso.org/standard/66892.html ( Дата обращения: 27.12.2022)</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Sigurdson A.J., Ha M., Hauptmann M., et al. International study of factors affecting human chromosome translocations // Mutation Research. 2008. Vol. 652, № 2. P.112–121. doi: 10.1016/j.mrgentox.2008.01.005</mixed-citation><mixed-citation xml:lang="en">Sigurdson A.J., Ha M., Hauptmann M., et al. International study of factors affecting human chromosome translocations // Mutation Research. 2008. Vol. 652, № 2. P.112–121. doi: 10.1016/j.mrgentox.2008.01.005</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Goh V.S.T, Fujishima Y., Abe Y. et al. Construction of fluorescence in situ hybridization (FISH) translocation dose-response calibration curve with multiple donor data sets using R, based on ISO 20046:2019 recommendations // International Journal of Radiation Biology. 2019. Vol. 95, № 12. P.1668-1684. doi: 10.1080/09553002.2019.1664788.</mixed-citation><mixed-citation xml:lang="en">Goh V.S.T, Fujishima Y., Abe Y. et al. Construction of fluorescence in situ hybridization (FISH) translocation dose-response calibration curve with multiple donor data sets using R, based on ISO 20046:2019 recommendations // International Journal of Radiation Biology. 2019. Vol. 95, № 12. P.1668-1684. doi: 10.1080/09553002.2019.1664788.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Нугис В.Ю., Снигирёва Г.П., Ломоносова Е.Е. и др. Трёхцветный FISH-метод: кривые доза–эффект для транслокаций в культурах лимфоцитов периферической крови после гамма-облучения in vitro // Медицинская радиология и радиационная безопасность. 2021. №. 5. С. 12-20 . DOI: https://doi.org/10.12737/1024-6177-2020-65-5-12-20.</mixed-citation><mixed-citation xml:lang="en">Nugis VYu, Snigiryova GP, Lomonosova EE, Kozlova M, Nikitinal V. Three-color FISH method: dose–effect curves for translocations in peripheral blood lymphocyte cultures after gamma-irradiation in vitro. Medical Radiology and Radiation Safety . 2020;65(5): 12-20 (In Russian). DOI: 10.12737/1024-6177-2020-65-5-12-20</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Degteva M.O, Tolstykh E.I., Shishkina E. et al. Stochastic parametric skeletal dosimetry model for humans: General approach and application to active marrow exposure from bone-seeking beta-particle emitters // PLoS One. 2021. Vol. 16, № 10 e0257605. doi: 10.1371/journal.pone.0257605.</mixed-citation><mixed-citation xml:lang="en">Degteva M.O, Tolstykh E.I., Shishkina E. et al. Stochastic parametric skeletal dosimetry model for humans: General approach and application to active marrow exposure from bone-seeking beta-particle emitters // PLoS One. 2021. Vol. 16, № 10 e0257605. doi: 10.1371/journal.pone.0257605.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Shishkina E.A., Timofeev Y.S., Volchkova A.Y. et al. Trabecula: A Random Generator of Computational Phantoms for Bone Marrow Dosimetry // Health Physics. 2020. Vol. 118, № 1. P. 53-59. doi: 10.1097/HP.0000000000001127.</mixed-citation><mixed-citation xml:lang="en">Shishkina E.A., Timofeev Y.S., Volchkova A.Y. et al. Trabecula: A Random Generator of Computational Phantoms for Bone Marrow Dosimetry // Health Physics. 2020. Vol. 118, № 1. P. 53-59. doi: 10.1097/HP.0000000000001127.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Shagina N.B., Tolstykh E.I., Degteva M.O. et al. Age and gender specific biokinetic model for strontium in humans // Journal of Radiological Protection. 2015. Vol. 35, № 1. P. 87-127. doi: 10.1088/0952-4746/35/1/87.</mixed-citation><mixed-citation xml:lang="en">Shagina N.B., Tolstykh E.I., Degteva M.O. et al. Age and gender specific biokinetic model for strontium in humans // Journal of Radiological Protection. 2015. Vol. 35, № 1. P. 87-127. doi: 10.1088/0952-4746/35/1/87.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Tolstykh E.I., Degteva M.O., Peremyslova L.M. et al. Reconstruction of long-lived radionuclide intakes for Techa riverside residents: strontium-90 // Health Physics. 2011. Vol. 101, № 1. P. 28-47. doi: 10.1097/HP.0b013e318206d0ff.</mixed-citation><mixed-citation xml:lang="en">Tolstykh E.I., Degteva M.O., Peremyslova L.M. et al. Reconstruction of long-lived radionuclide intakes for Techa riverside residents: strontium-90 // Health Physics. 2011. Vol. 101, № 1. P. 28-47. doi: 10.1097/HP.0b013e318206d0ff.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Britanova O.V., Shugay M., Merzlyak E.M. et al. Dynamics of individual T cell repertoires: from cord blood to centenarians // Journal of Immunology. 2016. Vol. 196, № 12. P. 5005– 5013. doi 10.4049/jimmunol.1600005.</mixed-citation><mixed-citation xml:lang="en">Britanova O.V., Shugay M., Merzlyak E.M. et al. Dynamics of individual T cell repertoires: from cord blood to centenarians // Journal of Immunology. 2016. Vol. 196, № 12. P. 5005– 5013. doi 10.4049/jimmunol.1600005.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Naumova E.N., Gorski J., Naumo Y.N. Simulation studies for a multistage dynamic process of immune memory response to influenza: experiment in silico // Annales Zoologici Fennici. 2008. Vol. 45. P. 369–384. DOI: 10.5735/086.045.0502.</mixed-citation><mixed-citation xml:lang="en">Naumova E.N., Gorski J., Naumo Y.N. Simulation studies for a multistage dynamic process of immune memory response to influenza: experiment in silico // Annales Zoologici Fennici. 2008. Vol. 45. P. 369–384. DOI: 10.5735/086.045.0502.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Yoshida K., Cologne J.B., Cordova K. et al., Aging-related changes in human T-cell repertoire over 20 years delineated by deep sequencing of peripheral T-cell receptors // Experimental Gerontology. 2017. Vol. 1, № 96. P. 29–37. doi 10.1016/j.exger.2017.05.015.</mixed-citation><mixed-citation xml:lang="en">Yoshida K., Cologne J.B., Cordova K. et al., Aging-related changes in human T-cell repertoire over 20 years delineated by deep sequencing of peripheral T-cell receptors // Experimental Gerontology. 2017. Vol. 1, № 96. P. 29–37. doi 10.1016/j.exger.2017.05.015.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
