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Amrenova A, Ainsbury E, Baudin C, Giussani A, Lochard J, Rühm W, Scholz-Kreisel P, Trott K, Vaillant L, Wakeford R, Zölzer F, Laurier D. Consideration of hereditary effects in the radiological protection system: evolution and current status. Int J Radiat Biol 2024:1-13. [PMID: 38190433 DOI: 10.1080/09553002.2023.2295289] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/21/2023] [Indexed: 01/10/2024]
Abstract
PURPOSE The purpose of this paper is to provide an overview of the methodology used to estimate radiation genetic risks and quantify the risk of hereditary effects as outlined in the ICRP Publication 103. It aims to highlight the historical background and development of the doubling dose method for estimating radiation-related genetic risks and its continued use in radiological protection frameworks. RESULTS This article emphasizes the complexity associated with quantifying the risk of hereditary effects caused by radiation exposure and highlights the need for further clarification and explanation of the calculation method. As scientific knowledge in radiation sciences and human genetics continues to advance in relation to a number of factors including stability of disease frequency, selection pressures, and epigenetic changes, the characterization and quantification of genetic effects still remains a major issue for the radiological protection system of the International Commission on Radiological Protection. CONCLUSION Further research and advancements in this field are crucial for enhancing our understanding and addressing the complexities involved in assessing and managing the risks associated with hereditary effects of radiation.
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Affiliation(s)
- A Amrenova
- Institute for Radiological Protection and Nuclear Safety, Fontenay-aux-Roses, France
| | | | - C Baudin
- Institute for Radiological Protection and Nuclear Safety, Fontenay-aux-Roses, France
| | - A Giussani
- BfS - Federal Office for Radiation Protection, Oberschleißheim, Germany
| | - J Lochard
- Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - W Rühm
- BfS - Federal Office for Radiation Protection, Oberschleißheim, Germany
| | - P Scholz-Kreisel
- BfS - Federal Office for Radiation Protection, Oberschleißheim, Germany
| | - K Trott
- Deptartment Radiation Oncology, Technical University München, Fontenay-aux-Roses, France
| | | | - R Wakeford
- Centre for Occupational and Environmental Health, The University of Manchester, Manchester, UK
| | - F Zölzer
- Department of Health and Social Sciences, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic
| | - D Laurier
- Institute for Radiological Protection and Nuclear Safety, Fontenay-aux-Roses, France
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Zanzonico P, Dauer L, Strauss HW. Radiobiology in Cardiovascular Imaging. JACC Cardiovasc Imaging 2016; 9:1446-1461. [PMID: 27931527 PMCID: PMC5877470 DOI: 10.1016/j.jcmg.2016.09.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 09/21/2016] [Accepted: 09/22/2016] [Indexed: 12/18/2022]
Abstract
The introduction of ionizing radiation in medicine revolutionized the diagnosis and treatment of disease and dramatically improved and continues to improve the quality of health care. Cardiovascular imaging and medical imaging in general, however, are associated with a range of radiobiologic effects, including, in rare instances, moderate to severe skin damage resulting from cardiac fluoroscopy. For the dose range associated with diagnostic imaging (corresponding to effective doses on the order of 10 mSv [1 rem]), the possible effects are stochastic in nature and largely theoretical. The most notable of these effects, of course, is the possible increase in cancer risk. The current review addresses radiobiology relevant to cardiovascular imaging, with particular emphasis on radiation induction of cancer, including consideration of the linear nonthreshold dose-response model and of alternative models such as radiation hormesis.
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Affiliation(s)
- Pat Zanzonico
- Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Lawrence Dauer
- Memorial Sloan Kettering Cancer Center, New York, New York
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Kashyap MV, Nolan M, Sprouse M, Chakraborty R, Cross D, Roby R, Vishwanatha JK. Role of genomics in eliminating health disparities. J Carcinog 2015; 14:6. [PMID: 26435701 PMCID: PMC4590179 DOI: 10.4103/1477-3163.165158] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 08/23/2015] [Indexed: 11/04/2022] Open
Abstract
The Texas Center for Health Disparities, a National Institute on Minority Health and Health Disparities Center of Excellence, presents an annual conference to discuss prevention, awareness education, and ongoing research about health disparities both in Texas and among the national population. The 2014 Annual Texas Conference on Health Disparities brought together experts in research, patient care, and community outreach on the “Role of Genomics in Eliminating Health Disparities.” Rapid advances in genomics and pharmacogenomics are leading the field of medicine to use genetics and genetic risk to build personalized or individualized medicine strategies. We are at a critical juncture of ensuring such rapid advances benefit diverse populations. Relatively few forums have been organized around the theme of the role of genomics in eliminating health disparities. The conference consisted of three sessions addressing “Gene-Environment Interactions and Health Disparities,” “Personalized Medicine and Elimination of Health Disparities,” and “Ethics and Public Policy in the Genomic Era.” This article summarizes the basic science, clinical correlates, and public health data presented by the speakers.
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Affiliation(s)
| | - Michael Nolan
- Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, Texas 76107, USA
| | - Marc Sprouse
- Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, Texas 76107, USA
| | - Ranajit Chakraborty
- Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, Texas 76107, USA
| | - Deanna Cross
- Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, Texas 76107, USA
| | - Rhonda Roby
- Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, Texas 76107, USA
| | - Jamboor K Vishwanatha
- Texas Center for Health Disparities, University of North Texas Health Science Center, Fort Worth, Texas 76107, USA
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Sankaranarayanan K, Nikjoo H. Genome-based, mechanism-driven computational modeling of risks of ionizing radiation: The next frontier in genetic risk estimation? MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2014; 764:1-15. [PMID: 26041262 DOI: 10.1016/j.mrrev.2014.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/18/2014] [Indexed: 10/24/2022]
Abstract
Research activity in the field of estimation of genetic risks of ionizing radiation to human populations started in the late 1940s and now appears to be passing through a plateau phase. This paper provides a background to the concepts, findings and methods of risk estimation that guided the field through the period of its growth to the beginning of the 21st century. It draws attention to several key facts: (a) thus far, genetic risk estimates have been made indirectly using mutation data collected in mouse radiation studies; (b) important uncertainties and unsolved problems remain, one notable example being that we still do not know the sensitivity of human female germ cells to radiation-induced mutations; and (c) the concept that dominated the field thus far, namely, that radiation exposures to germ cells can result in single gene diseases in the descendants of those exposed has been replaced by the concept that radiation exposure can cause DNA deletions, often involving more than one gene. Genetic risk estimation now encompasses work devoted to studies on DNA deletions induced in human germ cells, their expected frequencies, and phenotypes and associated clinical consequences in the progeny. We argue that the time is ripe to embark on a human genome-based, mechanism-driven, computational modeling of genetic risks of ionizing radiation, and we present a provisional framework for catalyzing research in the field in the 21st century.
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Affiliation(s)
- K Sankaranarayanan
- Radiation Biophysics Group, Department of Oncology-Pathology, Karolinska Institutet, Box 260, P9-02, Stockholm SE 17176, Sweden
| | - H Nikjoo
- Radiation Biophysics Group, Department of Oncology-Pathology, Karolinska Institutet, Box 260, P9-02, Stockholm SE 17176, Sweden.
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Baverstock K, Karotki AV. Towards a unifying theory of late stochastic effects of ionizing radiation. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2011; 718:1-9. [DOI: 10.1016/j.mrgentox.2010.11.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2010] [Revised: 09/29/2010] [Accepted: 10/03/2010] [Indexed: 12/31/2022]
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Wassom JS, Malling HV, Sankaranarayanan K, Lu PY. Reflections on the origins and evolution of genetic toxicology and the Environmental Mutagen Society. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2010; 51:746-760. [PMID: 20839221 DOI: 10.1002/em.20589] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
This article traces the development of the field of mutagenesis and its metamorphosis into the research area we now call genetic toxicology. In 1969, this transitional event led to the founding of the Environmental Mutagen Society (EMS). The charter of this new Society was to "encourage interest in and study of mutagens in the human environment, particularly as these may be of concern to public health." As the mutagenesis field unfolded and expanded, new wording appeared to better describe this evolving area of research. The term "genetic toxicology" was coined and became an important subspecialty of the broad area of toxicology. Genetic toxicology is now set for a thorough reappraisal of its methods, goals, and priorities to meet the challenges of the 21st Century. To better understand these challenges, we have revisited the primary goal that the EMS founders had in mind for the Society's main mission and objective, namely, the quantitative assessment of genetic (hereditary) risks to human populations exposed to environmental agents. We also have reflected upon some of the seminal events over the last 40 years that have influenced the advancement of the genetic toxicology discipline and the extent to which the Society's major goal and allied objectives have been achieved. Additionally, we have provided suggestions on how EMS can further advance the science of genetic toxicology in the postgenome era. Any oversight or failure to make proper acknowledgment of individuals, events, or the citation of relevant references in this article is unintentional.
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Affiliation(s)
- John S Wassom
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, USA
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Sankaranarayanan K, Wassom J. Reflections on the impact of advances in the assessment of genetic risks of exposure to ionizing radiation on international radiation protection recommendations between the mid-1950s and the present. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2008; 658:1-27. [DOI: 10.1016/j.mrrev.2007.10.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/31/2007] [Indexed: 10/22/2022]
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O'Neill P, Nicklas J, Hirsch B, Jostes R, Hunter T, Sullivan L, Albertini R. In vitro studies of the genotoxicity of ionizing radiation in human G(0) T lymphocytes. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2005; 46:207-20. [PMID: 15887213 DOI: 10.1002/em.20143] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
In an effort to mimic human in vivo exposures to ionizing irradiation, G(0) phase T lymphocytes from human peripheral blood samples were utilized for in vitro studies of the genotoxic effects of (137)Cs low-LET irradiation and (222)Rn high-LET irradiation. Both types of radiation induced mutations in the HPRT gene in a dose-dependent manner, with a mutant frequency (MF) = 4.28 + 1.34x + 7.51x(2) for (137)Cs (R(2) = 0.95) and MF = 4.81 + 0.67x for (222)Rn (R(2) = 0.51). Post (137)Cs irradiation incubation in the presence of cytosine arabinoside, a reversible inhibitor of DNA repair, caused an increase in the MF over irradiation alone, consistent with a misrepair mechanism being involved in the mutagenicity of low-LET irradiation. The spectrum of (137)Cs irradiation-induced mutation displayed an increase in macro-deletions (in particular total gene deletions) and rearrangement events, some of which were further defined by either chromosome painting or direct DNA sequencing. The spectrum of (222)Rn irradiation-induced mutation was characterized by an increase in small alterations, especially multiple single base deletions/substitutions and micro-deletions. These studies define the specific response of human peripheral blood T cells to ionizing irradiation in vitro and form a basis for evaluating the genotoxic effects of human in vivo exposure.
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Affiliation(s)
- Patrick O'Neill
- University of Vermont, Genetics Laboratory, Burlington, VT 05405, USA.
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Abrahamson S, Tawn EJ. Risk of stillbirth in offspring of men exposed to ionising radiation. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2001; 21:133-144. [PMID: 11430514 DOI: 10.1088/0952-4746/21/2/303] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Radiation genetic risk models are employed to predict the frequency of radiation-related stillbirths to partners of occupationally exposed male workers, using the incidence data recently reported by Parker et al from an epidemiological study of Cumbrian births. Expanding on previously developed conservative risk estimates suggests that, of the 130 observed stillbirths to partners of male radiation workers, 0.3 cases would be attributable to paternal preconceptional irradiation, in contrast to the 17.5 (95% confidence interval: 3.1 to 31.9) cases predicted by Parker et al from their preferred dose-response model. The incompatibility of the results reported by Parker et al with those from other investigations, both epidemiological and experimental, and the inability of the study to consider a number of factors which might affect stillbirth rates, particularly those relating to the mother, make it difficult to accept that paternal irradiation received occupationally could have contributed to a detectable increase in stillbirths.
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Affiliation(s)
- S Abrahamson
- Department of Zoology, University of Wisconsin, Madison 53706, USA.
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Sankaranarayanan K. Estimation of the hereditary risks of exposure to ionizing radiation: history, current status, and emerging perspectives. HEALTH PHYSICS 2001; 80:363-369. [PMID: 11281204 DOI: 10.1097/00004032-200104000-00013] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
This paper provides a brief overview of the advances in the field of the estimation of the genetic risks of exposure of human populations to ionizing radiation from the early 1950's to the present and of the developments that are anticipated in the coming years. The latter are based on the view that the insights gained from human genetics, especially human molecular genetics, will be increasingly applied to address problems in risk estimation. Owing to the paucity of human data on radiation-induced mutations, mouse data on radiation-induced mutations are used to predict the risk of genetic diseases in humans using the doubling dose method. With this method, the risk per unit dose is expressed as a product of three quantities, i.e., P x 1/DD x MC where P is the baseline frequency of genetic diseases, 1/DD (the relative mutation risk per unit dose; DD refers to the doubling dose, i.e., the radiation dose required to produce as many mutations as those that occur spontaneously in a generation) and MC is the disease class-specific mutation component (a measure of the relative increase in disease frequency per unit relative increase in mutation rate). The five important changes that are now introduced in genetic risk estimation include (1) an upward revision of the baseline frequency of Mendelian diseases to 2.4% (from 1.25% used until the early 1990's); (2) a reversion to the conceptual basis for DD calculations used in the 1972 BEIR report of the U.S. National Academy of Sciences, namely, the use of human data on spontaneous mutation rates and mouse data on induced mutation rates (instead of the use of mouse data for both these rates as has been the case from mid-1970's until the early 1990's); (3) the fuller development and use of the MC concept for predicting the responsiveness of Mendelian and multifactorial diseases to increases in mutation rate; (4) the introduction of a new disease-class-specific quantity called the "potential recoverability correction factor" or PRCF in the risk equation to bridge the gap between the rates of induced mutations in mice and the risk of inducible genetic diseases in humans; and (5) the introduction of the concept that multisystem developmental abnormalities are likely to be among the principal phenotypes of radiation induced genetic damage in humans. All these advances now permit, for the first time in 40 y, the estimation of risks for all classes of genetic diseases. For a population exposed to low-LET, chronic or low-dose irradiation, the risks predicted for the first generation progeny are the following (all estimates are per million live born progeny per gray of parental irradiation): autosomal dominant and x-linked diseases, approximately 750 to 1,500 cases; autosomal recessive, nearly zero; chronic multifactorial diseases, approximately 250 to 1,200 cases; and congenital abnormalities, approximately 2000 cases. The total risk per gray is of the order of approximately 3,000 to 4,700 cases, which represent approximately 0.4 to 0.6% of the baseline frequency of these diseases (738,000 per million) in the population. The advances anticipated in the coming years are likely to permit the estimation of genetic risks of radiation with greater precision than is now possible.
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Affiliation(s)
- K Sankaranarayanan
- Department of Radiation Genetics and Chemical Mutagenesis, Leiden University Medical Centre, The Netherlands.
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