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Seong SY, Kang MK, Kang H, Lee HJ, Kang YR, Lee CG, Sohn DH, Han SJ. Low dose rate radiation impairs early follicles in young mice. Reprod Biol 2023; 23:100817. [PMID: 37890397 DOI: 10.1016/j.repbio.2023.100817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/10/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023]
Abstract
Low-dose radiation is generally considered less harmful than high-dose radiation. However, its impact on ovaries remains debated. Since previous reports predominantly employed low-dose radiation delivered at a high dose rate on the ovary, the effect of low-dose radiation at a low dose rate on the ovary remains unknown. We investigated the effect of low-dose ionizing radiation delivered at a low dose rate on murine ovaries. Three- and ten-week-old mice were exposed to 0.1 and 0.5 Gy of radiation at a rate of 6 mGy/h and monitored after 3 and 30 days. While neither body weight nor ovarian area showed significant changes, ovarian cells were damaged, showing apoptosis and a decrease in cell proliferation after exposure to 0.1 and 0.5 Gy radiation. Follicle numbers decreased over time in both age groups proportionally to the radiation dose. Younger mice were more susceptible to radiation damage, as evidenced by decreased follicles in 3-week-old mice after 30 days of 0.1 Gy exposure, while 10-week-old mice showed reduced follicles only following 0.5 Gy exposure. Primordial or primary follicles were the most vulnerable to radiation. These findings suggest that even low-dose radiation, delivered at a low dose rate, can adversely affect ovarian function, particularly in the early follicles of younger mice.
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Affiliation(s)
- Se Yoon Seong
- Institute for Digital Antiaging Healthcare, Inje University, Gimhae 50834, Republic of Korea
| | - Min Kook Kang
- Department of Research Center, Dongnam Institute of Radiological and Medical Sciences, Busan 46033, Republic of Korea
| | - Hyunju Kang
- Institute for Digital Antiaging Healthcare, Inje University, Gimhae 50834, Republic of Korea
| | - Hae-June Lee
- Division of Radiation Biomedical Research, Korea Institute of Radiological & Medical Sciences, 75 Nowon-ro, Seoul 01812, Republic of Korea
| | - Yeong-Rok Kang
- Department of Research Center, Dongnam Institute of Radiological and Medical Sciences, Busan 46033, Republic of Korea
| | - Chang Geun Lee
- Department of Research Center, Dongnam Institute of Radiological and Medical Sciences, Busan 46033, Republic of Korea
| | - Dong Hyun Sohn
- Department of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan 50612, Republic of Korea
| | - Seung Jin Han
- Institute for Digital Antiaging Healthcare, Inje University, Gimhae 50834, Republic of Korea; Department of Medical Biotechnology, Inje University, Gimhae 50834, Republic of Korea.
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Laurier D, Billarand Y, Klokov D, Leuraud K. The scientific basis for the use of the linear no-threshold (LNT) model at low doses and dose rates in radiological protection. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2023; 43:024003. [PMID: 37339605 DOI: 10.1088/1361-6498/acdfd7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/20/2023] [Indexed: 06/22/2023]
Abstract
The linear no-threshold (LNT) model was introduced into the radiological protection system about 60 years ago, but this model and its use in radiation protection are still debated today. This article presents an overview of results on effects of exposure to low linear-energy-transfer radiation in radiobiology and epidemiology accumulated over the last decade and discusses their impact on the use of the LNT model in the assessment of radiation-related cancer risks at low doses. The knowledge acquired over the past 10 years, both in radiobiology and epidemiology, has reinforced scientific knowledge about cancer risks at low doses. In radiobiology, although certain mechanisms do not support linearity, the early stages of carcinogenesis comprised of mutational events, which are assumed to play a key role in carcinogenesis, show linear responses to doses from as low as 10 mGy. The impact of non-mutational mechanisms on the risk of radiation-related cancer at low doses is currently difficult to assess. In epidemiology, the results show excess cancer risks at dose levels of 100 mGy or less. While some recent results indicate non-linear dose relationships for some cancers, overall, the LNT model does not substantially overestimate the risks at low doses. Recent results, in radiobiology or in epidemiology, suggest that a dose threshold, if any, could not be greater than a few tens of mGy. The scientific knowledge currently available does not contradict the use of the LNT model for the assessment of radiation-related cancer risks within the radiological protection system, and no other dose-risk relationship seems more appropriate for radiological protection purposes.
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Affiliation(s)
- Dominique Laurier
- Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France
| | - Yann Billarand
- Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France
| | - Dmitry Klokov
- Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France
| | - Klervi Leuraud
- Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France
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Baier J, Rix A, Darguzyte M, Girbig RM, May JN, Palme R, Tolba R, Kiessling F. Repeated Contrast-Enhanced Micro-CT Examinations Decrease Animal Welfare and Influence Tumor Physiology. Invest Radiol 2023; 58:327-336. [PMID: 36730911 DOI: 10.1097/rli.0000000000000936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVES Computed tomography (CT) imaging is considered relatively safe and is often used in preclinical research to study physiological processes. However, the sum of low-dose radiation, anesthesia, and animal handling might impact animal welfare and physiological parameters. This is particularly relevant for longitudinal studies with repeated CT examinations. Therefore, we investigated the influence of repeated native and contrast-enhanced (CE) CT on animal welfare and tumor physiology in regorafenib-treated and nontreated tumor-bearing mice. MATERIAL AND METHODS Mice bearing 4T1 breast cancer were divided into 5 groups: (1) no imaging, (2) isoflurane anesthesia only, (3) 4 mGy CT, (4) 50 mGy CT, and (5) CE-CT (iomeprol). In addition, half of each group was treated with the multikinase inhibitor regorafenib. Mice were imaged 3 times within 1 week under isoflurane anesthesia. Behavioral alterations were investigated by score sheet evaluation, rotarod test, heart rate measurements, and fecal corticosterone metabolite analysis. Tumor growth was measured daily with a caliper. Tumors were excised at the end of the experiment and histologically examined for blood vessel density, perfusion, and cell proliferation. RESULTS According to the score sheet, animals showed a higher burden after anesthesia administration and in addition with CT imaging ( P < 0.001). Motor coordination was not affected by native CT, but significantly decreased after CE-CT in combination with the tumor therapy ( P < 0.001). Whereas tumor growth and blood vessel density were not influenced by anesthesia or imaging, CT-scanned animals had a higher tumor perfusion ( P < 0.001) and a lower tumor cell proliferation ( P < 0.001) for both radiation doses. The most significant difference was observed between the control and CE-CT groups. CONCLUSION Repeated (CE-) CT imaging of anesthetized animals can lead to an impairment of animal motor coordination and, thus, welfare. Furthermore, these standard CT protocols seem to be capable of inducing alterations in tumor physiology when applied repetitively. These potential effects of native and CE-CT should be carefully considered in preclinical oncological research.
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Affiliation(s)
- Jasmin Baier
- From the Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen International University, Aachen, Germany
| | - Anne Rix
- From the Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen International University, Aachen, Germany
| | - Milita Darguzyte
- From the Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen International University, Aachen, Germany
| | - Renée Michèle Girbig
- From the Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen International University, Aachen, Germany
| | - Jan-Niklas May
- From the Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen International University, Aachen, Germany
| | - Rupert Palme
- Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - René Tolba
- Institute for Laboratory Animal Science and Experimental Surgery, Medical Faculty, RWTH Aachen International University, Aachen, Germany
| | - Fabian Kiessling
- From the Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen International University, Aachen, Germany
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Morin SM, Majhi PD, Crisi GM, Gregory KJ, Franca R, Schalet B, Mason H, Casaubon JT, Cao QJ, Haddad S, Makari-Judson G, Jerry DJ, Schneider SS. Interindividual variation contributes to differential PCB 126 induced gene expression in primary breast epithelial cells and tissues. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 241:113722. [PMID: 35724515 DOI: 10.1016/j.ecoenv.2022.113722] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/27/2022] [Accepted: 05/29/2022] [Indexed: 06/15/2023]
Abstract
PCB 126 is a pervasive, dioxin-like chemical pollutant which can activate the aryl hydrocarbon receptor (AhR). Despite being banned from the market, PCB 126 can be detected in breast milk to this day. The extent to which interindividual variation impacts the adverse responses to this chemical in the breast tissue remains unclear. This study aimed to investigate the impact of 3 nM PCB 126 on gene expression in a panel of genetically diverse benign human breast epithelial cell (HBEC) cultures and patient derived breast tissues. Six patient derived HBEC cultures were treated with 3 nM PCB 126. RNAseq was used to interrogate the impact of exposure on differential gene expression. Gene expression changes from the top critical pathways were confirmed via qRT-PCR in a larger panel of benign patient derived HBEC cultures, as well as in patient-derived breast tissue explant cultures. RNAseq analysis of HBEC cultures revealed a signature of 144 genes significantly altered by 3 nM PCB 126 treatment. Confirmation of 8 targets using a panel of 12 HBEC cultures and commercially available breast cell lines demonstrated that while the induction of canonical downstream target gene, CYP1A1, was consistent across our primary HBECs, other genes including AREG, S100A8, IL1A, IL1B, MMP7, and CCL28 exhibited significant variability across individuals. The dependence on the activity of the aryl hydrocarbon receptor was confirmed using inhibitors. PCB 126 can induce significant and consistent changes in gene expression associated with xenobiotic metabolism in benign breast epithelial cells. Although the induction of most genes was reliant on the AhR, significant variability was noted between genes and individuals. These data suggest that there is a bifurcation of the pathway following AhR activation that contributes to the variation in interindividual responses.
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Affiliation(s)
- Stephanie M Morin
- Pioneer Valley Life Sciences Institute, Springfield, MA 01199, United States; Dept of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA 01003, United States
| | - Prabin Dhangada Majhi
- Dept of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA 01003, United States
| | - Giovanna M Crisi
- University of Massachusetts Chan Medical School-Baystate, Department of Pathology, Springfield, MA 01199, United States
| | - Kelly J Gregory
- Pioneer Valley Life Sciences Institute, Springfield, MA 01199, United States
| | - Renata Franca
- Pioneer Valley Life Sciences Institute, Springfield, MA 01199, United States
| | - Benjamin Schalet
- University of Massachusetts Chan Medical School-Baystate, Department of Surgery, Springfield, MA 01199, United States
| | - Holly Mason
- University of Massachusetts Chan Medical School-Baystate, Department of Surgery, Springfield, MA 01199, United States
| | - Jesse Thomas Casaubon
- University of Massachusetts Chan Medical School-Baystate, Department of Surgery, Springfield, MA 01199, United States
| | - Qing Jackie Cao
- University of Massachusetts Chan Medical School-Baystate, Department of Pathology, Springfield, MA 01199, United States
| | - Sandra Haddad
- Dept of Science, Bay Path University, Longmeadow, MA 01106, United States
| | - Grace Makari-Judson
- University of Massachusetts Chan Medical School-Baystate, Division of Hematology-Oncology, Springfield, MA, United States
| | - D Joseph Jerry
- Pioneer Valley Life Sciences Institute, Springfield, MA 01199, United States; Dept of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA 01003, United States
| | - Sallie S Schneider
- Pioneer Valley Life Sciences Institute, Springfield, MA 01199, United States; Dept of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA 01003, United States; University of Massachusetts Chan Medical School-Baystate, Department of Surgery, Springfield, MA 01199, United States.
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5
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Siblini Y, Chéry C, Rouyer P, Raso J, Julien A, Hergalant S, François A, Bezdetnaya L, Vogin G, Guéant JL, Oussalah A. Ionizing radiations induce shared epigenomic signatures unraveling adaptive mechanisms of cancerous cell lines with or without methionine dependency. Clin Epigenetics 2021; 13:212. [PMID: 34852845 PMCID: PMC8638416 DOI: 10.1186/s13148-021-01199-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 11/12/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Although radiation therapy represents a core cancer treatment modality, its efficacy is hampered by radioresistance. The effect of ionizing radiations (IRs) is well known regarding their ability to induce genetic alterations; however, their impact on the epigenome landscape in cancer, notably at the CpG dinucleotide resolution, remains to be further deciphered. In addition, no evidence is available regarding the effect of IRs on the DNA methylome profile according to the methionine dependency phenotype, which represents a hallmark of metabolic adaptation in cancer. METHODS We used a case-control study design with a fractionated irradiation regimen on four cancerous cell lines representative of HCC (HepG2), melanoma (MeWo and MeWo-LC1, which exhibit opposed methionine dependency phenotypes), and glioblastoma (U251). We performed high-resolution genome-wide DNA methylome profiling using the MethylationEPIC BeadChip on baseline conditions, irradiated cell lines (cumulative dose of 10 Gy), and non-irradiated counterparts. We performed epigenome-wide association studies to assess the effect of IRs and methionine-dependency-oriented analysis by carrying out epigenome-wide conditional logistic regression. We looked for epigenome signatures at the locus and single-probe (CpG dinucleotide) levels and through enrichment analyses of gene ontologies (GO). The EpiMet project was registered under the ID#AAP-BMS_003_211. RESULTS EWASs revealed shared GO annotation pathways associated with increased methylation signatures for several biological processes in response to IRs, including blood circulation, plasma membrane-bounded cell projection organization, cell projection organization, multicellular organismal process, developmental process, and animal organ morphogenesis. Epigenome-wide conditional logistic regression analysis on the methionine dependency phenotype highlighted several epigenome signatures related to cell cycle and division and responses to IR and ultraviolet light. CONCLUSIONS IRs generated a variation in the methylation level of a high number of CpG probes with shared biological pathways, including those associated with cell cycle and division, responses to IRs, sustained angiogenesis, tissue invasion, and metastasis. These results provide insight on shared adaptive mechanisms of the epigenome in cancerous cell lines in response to IR. Future experiments should focus on the tryptic association between IRs, the initiation of a radioresistance phenotype, and their interaction with methionine dependency as a hallmark of metabolic adaptation in cancer.
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Affiliation(s)
- Youssef Siblini
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France
| | - Céline Chéry
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France
- Department of Molecular Medicine and Personalized Therapeutics, Department of Biochemistry, Molecular Biology, Nutrition, and Metabolism, University Hospital of Nancy, 54000, Vandoeuvre-lès-Nancy, France
- Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, 54000, Vandoeuvre-lès-Nancy, France
| | - Pierre Rouyer
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France
| | - Jérémie Raso
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France
| | - Amélia Julien
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France
| | - Sébastien Hergalant
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France
| | | | - Lina Bezdetnaya
- Lorraine Institute of Oncology, 54000, Nancy, France
- CNRS, UMR_7039, CRAN (Centre de Recherche en Automatique de Nancy), Faculty of Medicine of Nancy, University of Lorraine, 54000, Vandoeuvre-lès-Nancy, France
| | - Guillaume Vogin
- UMR_7365, IMoPA (Ingénierie Moléculaire Et Ingénierie Articulaire), Faculty of Medicine of Nancy, CNRS-UL, University of Lorraine, 54000, Vandoeuvre-lès-Nancy, France
| | - Jean-Louis Guéant
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France.
- Department of Molecular Medicine and Personalized Therapeutics, Department of Biochemistry, Molecular Biology, Nutrition, and Metabolism, University Hospital of Nancy, 54000, Vandoeuvre-lès-Nancy, France.
- Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, 54000, Vandoeuvre-lès-Nancy, France.
| | - Abderrahim Oussalah
- INSERM, UMR_S1256, NGERE (Nutrition, Genetics, and Environmental Risk Exposure), Faculty of Medicine of Nancy, University of Lorraine, 9 Avenue de la Forêt de Haye, 54000, Vandoeuvre-lès-Nancy, Nancy, France.
- Department of Molecular Medicine and Personalized Therapeutics, Department of Biochemistry, Molecular Biology, Nutrition, and Metabolism, University Hospital of Nancy, 54000, Vandoeuvre-lès-Nancy, France.
- Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, 54000, Vandoeuvre-lès-Nancy, France.
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Genetic modifiers regulating DNA replication and double-strand break repair are associated with differences in mammary tumors in mouse models of Li-Fraumeni syndrome. Oncogene 2021; 40:5026-5037. [PMID: 34183771 PMCID: PMC8349885 DOI: 10.1038/s41388-021-01892-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 05/16/2021] [Accepted: 06/04/2021] [Indexed: 01/04/2023]
Abstract
Breast cancer is the most common tumor among women with inherited variants in the TP53 tumor suppressor, but onset varies widely suggesting interactions with genetic or environmental factors. Rodent models haploinsufficent for Trp53 also develop a wide variety of malignancies associated with Li-Fraumeni Syndrome, but BALB/c mice are uniquely susceptible to mammary tumors and is genetically linked to the Suprmam1 locus on chromosome 7. To define mechanisms that interact with deficiencies in p53 to alter susceptibility to mammary tumors, we fine-mapped the Suprmam1 locus in females from an N2 backcross of BALB/cMed and C57BL/6J mice. A major modifier was localized within a 10 cM interval on chromosome 7. The effect of the locus on DNA damage responses was examined in the parental strains and mice that are congenic for C57BL/6J alleles on the BALB/cMed background (SM1-Trp53+/−). The mammary epithelium of C57BL/6J-Trp53+/− females exhibited little radiation-induced apoptosis compared to BALB/cMed-Trp53+/− and SM1-Trp53+/− females indicating that the Suprmam1B6/B6 alleles could not rescue repair of radiation-induced DNA double-strand breaks mostly relying on non-homologous end joining. In contrast, the Suprmam1B6/B6 alleles in SM1-Trp53+/− mice were sufficient to confer the C57BL/6J-Trp53+/− phenotypes in homology-directed repair and replication fork progression. The Suprmam1B6/B6 alleles in SM1-Trp53+/− mice appear to act in trans to regulate a panel of DNA repair and replication genes which lie outside the locus.
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Lumniczky K, Impens N, Armengol G, Candéias S, Georgakilas AG, Hornhardt S, Martin OA, Rödel F, Schaue D. Low dose ionizing radiation effects on the immune system. ENVIRONMENT INTERNATIONAL 2021; 149:106212. [PMID: 33293042 PMCID: PMC8784945 DOI: 10.1016/j.envint.2020.106212] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/20/2020] [Accepted: 09/03/2020] [Indexed: 05/03/2023]
Abstract
Ionizing radiation interacts with the immune system in many ways with a multiplicity that mirrors the complexity of the immune system itself: namely the need to maintain a delicate balance between different compartments, cells and soluble factors that work collectively to protect, maintain, and restore tissue function in the face of severe challenges including radiation damage. The cytotoxic effects of high dose radiation are less relevant after low dose exposure, where subtle quantitative and functional effects predominate that may go unnoticed until late after exposure or after a second challenge reveals or exacerbates the effects. For example, low doses may permanently alter immune fitness and therefore accelerate immune senescence and pave the way for a wide spectrum of possible pathophysiological events, including early-onset of age-related degenerative disorders and cancer. By contrast, the so called low dose radiation therapy displays beneficial, anti-inflammatory and pain relieving properties in chronic inflammatory and degenerative diseases. In this review, epidemiological, clinical and experimental data regarding the effects of low-dose radiation on the homeostasis and functional integrity of immune cells will be discussed, as will be the role of immune-mediated mechanisms in the systemic manifestation of localized exposures such as inflammatory reactions. The central conclusion is that ionizing radiation fundamentally and durably reshapes the immune system. Further, the importance of discovery of immunological pathways for modifying radiation resilience amongst other research directions in this field is implied.
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Affiliation(s)
- Katalin Lumniczky
- National Public Health Centre, Department of Radiation Medicine, Budapest, Albert Florian u. 2-6, 1097, Hungary.
| | - Nathalie Impens
- Belgian Nuclear Research Centre, Biosciences Expert Group, Boeretang 200, 2400 Mol, Belgium.
| | - Gemma Armengol
- Unit of Biological Anthropology, Department of Animal Biology, Plant Biology and Ecology, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193-Bellaterra, Barcelona, Catalonia, Spain.
| | - Serge Candéias
- Université Grenoble-Alpes, CEA, CNRS, IRIG-LCBM, 38000 Grenoble, France.
| | - Alexandros G Georgakilas
- DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou 15780, Athens, Greece.
| | - Sabine Hornhardt
- Federal Office for Radiation Protection (BfS), Ingolstaedter Landstr.1, 85764 Oberschleissheim, Germany.
| | - Olga A Martin
- Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne 3052, Victoria, Australia.
| | - Franz Rödel
- Department of Radiotherapy and Oncology, University Hospital, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - Dörthe Schaue
- Department of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA 90095-1714, USA.
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Dose Fractionation During Puberty Is More Detrimental to Mammary Gland Development Than an Equivalent Acute Dose of Radiation Exposure. Int J Radiat Oncol Biol Phys 2020; 109:1521-1532. [PMID: 33232771 DOI: 10.1016/j.ijrobp.2020.11.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 11/06/2020] [Accepted: 11/12/2020] [Indexed: 11/20/2022]
Abstract
PURPOSE Computed tomographic (CT) scans in adolescents have increased dramatically in recent years. However, the effects of cumulative low-dose exposures on the development of radiation sensitive organs, such as the mammary gland, is unknown. The purpose of this work was to define the effects of dose rate on mammary organ formation during puberty, an especially sensitive window in mammary development. We used a fractionated low-dose x-ray exposure to mimic multiple higher dose CT scans, and we hypothesized that fractionated exposure would have less of an effect on the number of mammary gland defects compared with an acute exposure. METHODS AND MATERIALS Female mice were subjected to fractionated low-dose x-ray exposure (10 cGy/d for 5 days), acute x-ray exposure (1 × 50 cGy), or sham exposure. As the wide genetic diversity in humans can play a role in a person's response to irradiation, 2 genetically diverse mouse strains differing in radiation sensitivity (BALB/c-sensitive; C57BL/6-resistant) were used to investigate the role of genetic background on the magnitude of the effect. RESULTS Unexpectedly, our data reveal that multiple low-dose exposures produce greater immune and mammary defects for weeks after exposure compared with controls. The most pronounced defects being increased ductal branching in both strains and a greater percentage of terminal end buds in the BALB/c strain of mice exposed to fractionated radiation compared with sham. Radiation-induced defects near the terminal end bud were also increased in both strains. CONCLUSIONS The findings suggest that fractionated low-dose exposures are potentially more damaging to organ development compared with an equivalent, single acute exposure and that genetic background is an important parameter modifying the severity of these effects.
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The long-term effects of exposure to ionising radiation on gene expression in mice. Mutat Res 2020; 821:111723. [PMID: 33096319 DOI: 10.1016/j.mrfmmm.2020.111723] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 10/06/2020] [Accepted: 10/08/2020] [Indexed: 11/20/2022]
Abstract
Despite great advancement in our understanding of the biological response to ionising radiation in mammals, a number of pertinent questions remain unanswered. For instance, the mechanisms underlying the long-term effects of acute radiation in vivo still eludes us. Here we report that acute exposure to X-rays in male mice significantly affects their transcriptome. Using microarrays and miRNA-sequencing, we profiled the gene expression pattern in the brain, the kidney, the liver and the sperm of irradiated and control from CBA/Ca and BALB/c in the timeline of 4 h, 24 h, 1 week and 10 weeks post-exposure. Acute exposure to 1 Gy of X-rays resulted in profound tissue- and strain-specific changes in gene expression pattern. There was profound change in the gene expression in the kidney of BALB/c irradiated mice over the period of 10 weeks after irradiation, whereas in the CBA/Ca strain the significant transcriptomic changes manifest over a shorter period of time up to 1 week post exposure. In the brain of irradiated CBA/Ca, significant changes in transcriptome were seen up to 10 weeks post-irradiation, while only short-term changes up to 4 h post-exposure was detected in the brain of irradiation BALB/c. Similarly, alteration in gene expression pattern was observed in the liver of irradiated BALB/c up to 10 weeks post-radiation, whereas only immediate but significant changes were observed in the CBA/Ca at 4 h post-irradiation. Furthermore, the analysis of miRNA in irradiated and control male mice also revealed highly tissue- and strain-specific changes in expression level, with no overlap between the differentially regulated miRNA genes across the three somatic tissues and the two inbred strains. We also analysed the pattern of miRNA expression in sperm of irradiated males, sacrificed at 24 h, 1 week and 10 weeks after irradiation. Only one miRNA (mmu-miR-217-5p) was significantly down-regulated in the CBA/Ca males. The results of our study may provide a plausible explanation for the delayed in vivo effects of irradiation.
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Adabor ES, Acquaah-Mensah GK. DOKI: Domain knowledge-driven inference method for reverse-engineering transcriptional regulatory relationships among genes in cancer. Comput Biol Med 2020; 125:104017. [PMID: 33010618 DOI: 10.1016/j.compbiomed.2020.104017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/16/2020] [Accepted: 09/20/2020] [Indexed: 11/18/2022]
Abstract
Efficient reverse-engineering methods are important for identifying transcriptional regulatory relationships among genes in cancer. These methods are becoming increasingly useful in this era where huge volumes of data are generated through the use of high-throughput technologies such as next-generation sequencing technologies and microarrays. However, it is important to improve current methods because of complications involved in modelling complex biological systems. In this paper, we present a novel approach, Domain Knowledge-driven Inference (DOKI), for identification of transcriptional regulatory relationships among genes, given a biological context such as cancer. Combining data normalization, the use of a probability distribution function and Kullback-Leibler Divergence, DOKI incorporates a domain knowledge-driven criterion to make determinations of the existence of regulatory relationships between given transcription factors and given specific gene targets. Characteristics of DOKI enable it to adequately handle complexities inherent in data, and accurately unearth linear and higher-order dependent relationships among genes. DOKI performed equally well with one established high-performing method and better than three other high-performing methods on relatively small data sets. However, it remarkably outperformed these methods on larger data sets to demonstrate its utility. Furthermore, we demonstrate the relevance of such inference algorithms for identifying novel relationships among genes in breast cancer, as some of the consensus results representing novel relationships were confirmed in previously published experimental results. Thus, DOKI will facilitate current efforts to gain etiological insights and help uncover new targeted therapies for various diseases.
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Affiliation(s)
- Emmanuel S Adabor
- School of Technology, Ghana Institute of Management and Public Administration, Achimota, Accra, Ghana.
| | - George K Acquaah-Mensah
- Pharmaceutical Sciences Department, Massachusetts College of Pharmacy and Health Sciences (MCPHS University), 19 Foster Street, Worcester, MA, USA
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11
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Helm JS, Rudel RA. Adverse outcome pathways for ionizing radiation and breast cancer involve direct and indirect DNA damage, oxidative stress, inflammation, genomic instability, and interaction with hormonal regulation of the breast. Arch Toxicol 2020. [PMID: 32399610 DOI: 10.1007/s00204-020-02752-z)] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Knowledge about established breast carcinogens can support improved and modernized toxicological testing methods by identifying key mechanistic events. Ionizing radiation (IR) increases the risk of breast cancer, especially for women and for exposure at younger ages, and evidence overall supports a linear dose-response relationship. We used the Adverse Outcome Pathway (AOP) framework to outline and evaluate the evidence linking ionizing radiation with breast cancer from molecular initiating events to the adverse outcome through intermediate key events, creating a qualitative AOP. We identified key events based on review articles, searched PubMed for recent literature on key events and IR, and identified additional papers using references. We manually curated publications and evaluated data quality. Ionizing radiation directly and indirectly causes DNA damage and increases production of reactive oxygen and nitrogen species (RONS). RONS lead to DNA damage and epigenetic changes leading to mutations and genomic instability (GI). Proliferation amplifies the effects of DNA damage and mutations leading to the AO of breast cancer. Separately, RONS and DNA damage also increase inflammation. Inflammation contributes to direct and indirect effects (effects in cells not directly reached by IR) via positive feedback to RONS and DNA damage, and separately increases proliferation and breast cancer through pro-carcinogenic effects on cells and tissue. For example, gene expression changes alter inflammatory mediators, resulting in improved survival and growth of cancer cells and a more hospitable tissue environment. All of these events overlap at multiple points with events characteristic of "background" induction of breast carcinogenesis, including hormone-responsive proliferation, oxidative activity, and DNA damage. These overlaps make the breast particularly susceptible to ionizing radiation and reinforce that these biological activities are important characteristics of carcinogens. Agents that increase these biological processes should be considered potential breast carcinogens, and predictive methods are needed to identify chemicals that increase these processes. Techniques are available to measure RONS, DNA damage and mutation, cell proliferation, and some inflammatory proteins or processes. Improved assays are needed to measure GI and chronic inflammation, as well as the interaction with hormonally driven development and proliferation. Several methods measure diverse epigenetic changes, but it is not clear which changes are relevant to breast cancer. In addition, most toxicological assays are not conducted in mammary tissue, and so it is a priority to evaluate if results from other tissues are generalizable to breast, or to conduct assays in breast tissue. Developing and applying these assays to identify exposures of concern will facilitate efforts to reduce subsequent breast cancer risk.
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Affiliation(s)
- Jessica S Helm
- Silent Spring Institute, 320 Nevada Street, Suite 302, Newton, MA, 02460, USA
| | - Ruthann A Rudel
- Silent Spring Institute, 320 Nevada Street, Suite 302, Newton, MA, 02460, USA.
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12
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Helm JS, Rudel RA. Adverse outcome pathways for ionizing radiation and breast cancer involve direct and indirect DNA damage, oxidative stress, inflammation, genomic instability, and interaction with hormonal regulation of the breast. Arch Toxicol 2020; 94:1511-1549. [PMID: 32399610 PMCID: PMC7261741 DOI: 10.1007/s00204-020-02752-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 04/16/2020] [Indexed: 12/15/2022]
Abstract
Knowledge about established breast carcinogens can support improved and modernized toxicological testing methods by identifying key mechanistic events. Ionizing radiation (IR) increases the risk of breast cancer, especially for women and for exposure at younger ages, and evidence overall supports a linear dose-response relationship. We used the Adverse Outcome Pathway (AOP) framework to outline and evaluate the evidence linking ionizing radiation with breast cancer from molecular initiating events to the adverse outcome through intermediate key events, creating a qualitative AOP. We identified key events based on review articles, searched PubMed for recent literature on key events and IR, and identified additional papers using references. We manually curated publications and evaluated data quality. Ionizing radiation directly and indirectly causes DNA damage and increases production of reactive oxygen and nitrogen species (RONS). RONS lead to DNA damage and epigenetic changes leading to mutations and genomic instability (GI). Proliferation amplifies the effects of DNA damage and mutations leading to the AO of breast cancer. Separately, RONS and DNA damage also increase inflammation. Inflammation contributes to direct and indirect effects (effects in cells not directly reached by IR) via positive feedback to RONS and DNA damage, and separately increases proliferation and breast cancer through pro-carcinogenic effects on cells and tissue. For example, gene expression changes alter inflammatory mediators, resulting in improved survival and growth of cancer cells and a more hospitable tissue environment. All of these events overlap at multiple points with events characteristic of "background" induction of breast carcinogenesis, including hormone-responsive proliferation, oxidative activity, and DNA damage. These overlaps make the breast particularly susceptible to ionizing radiation and reinforce that these biological activities are important characteristics of carcinogens. Agents that increase these biological processes should be considered potential breast carcinogens, and predictive methods are needed to identify chemicals that increase these processes. Techniques are available to measure RONS, DNA damage and mutation, cell proliferation, and some inflammatory proteins or processes. Improved assays are needed to measure GI and chronic inflammation, as well as the interaction with hormonally driven development and proliferation. Several methods measure diverse epigenetic changes, but it is not clear which changes are relevant to breast cancer. In addition, most toxicological assays are not conducted in mammary tissue, and so it is a priority to evaluate if results from other tissues are generalizable to breast, or to conduct assays in breast tissue. Developing and applying these assays to identify exposures of concern will facilitate efforts to reduce subsequent breast cancer risk.
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Affiliation(s)
- Jessica S Helm
- Silent Spring Institute, 320 Nevada Street, Suite 302, Newton, MA, 02460, USA
| | - Ruthann A Rudel
- Silent Spring Institute, 320 Nevada Street, Suite 302, Newton, MA, 02460, USA.
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13
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Tharmalingam S, Sreetharan S, Brooks AL, Boreham DR. Re-evaluation of the linear no-threshold (LNT) model using new paradigms and modern molecular studies. Chem Biol Interact 2019; 301:54-67. [PMID: 30763548 DOI: 10.1016/j.cbi.2018.11.013] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 11/13/2018] [Accepted: 11/22/2018] [Indexed: 02/06/2023]
Abstract
The linear no-threshold (LNT) model is currently used to estimate low dose radiation (LDR) induced health risks. This model lacks safety thresholds and postulates that health risks caused by ionizing radiation is directly proportional to dose. Therefore even the smallest radiation dose has the potential to cause an increase in cancer risk. Advances in LDR biology and cell molecular techniques demonstrate that the LNT model does not appropriately reflect the biology or the health effects at the low dose range. The main pitfall of the LNT model is due to the extrapolation of mutation and DNA damage studies that were conducted at high radiation doses delivered at a high dose-rate. These studies formed the basis of several outdated paradigms that are either incorrect or do not hold for LDR doses. Thus, the goal of this review is to summarize the modern cellular and molecular literature in LDR biology and provide new paradigms that better represent the biological effects in the low dose range. We demonstrate that LDR activates a variety of cellular defense mechanisms including DNA repair systems, programmed cell death (apoptosis), cell cycle arrest, senescence, adaptive memory, bystander effects, epigenetics, immune stimulation, and tumor suppression. The evidence presented in this review reveals that there are minimal health risks (cancer) with LDR exposure, and that a dose higher than some threshold value is necessary to achieve the harmful effects classically observed with high doses of radiation. Knowledge gained from this review can help the radiation protection community in making informed decisions regarding radiation policy and limits.
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Affiliation(s)
- Sujeenthar Tharmalingam
- Northern Ontario School of Medicine, Laurentian University, 935 Ramsey Lake Rd, Sudbury, ON, P3E 2C6, Canada.
| | - Shayenthiran Sreetharan
- Department of Medical Physics and Applied Radiation Sciences, McMaster University, 1280 Main Street W, Hamilton ON, L8S 4K1, Canada
| | - Antone L Brooks
- Environmental Science, Washington State University, Richland, WA, USA
| | - Douglas R Boreham
- Northern Ontario School of Medicine, Laurentian University, 935 Ramsey Lake Rd, Sudbury, ON, P3E 2C6, Canada; Bruce Power, Tiverton, ON(3), UK.
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14
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Maqsudur Rashid A, Ramalingam L, Al-Jawadi A, Moustaid-Moussa N, Moussa H. Low dose radiation, inflammation, cancer and chemoprevention. Int J Radiat Biol 2018; 95:506-515. [DOI: 10.1080/09553002.2018.1484194] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Al Maqsudur Rashid
- Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, USA
| | - Latha Ramalingam
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA
- Obesity Research Cluster, Texas Tech University, Lubbock, TX, USA
| | - Arwa Al-Jawadi
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA
- Obesity Research Cluster, Texas Tech University, Lubbock, TX, USA
| | - Naima Moustaid-Moussa
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA
- Obesity Research Cluster, Texas Tech University, Lubbock, TX, USA
| | - Hanna Moussa
- Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, USA
- Obesity Research Cluster, Texas Tech University, Lubbock, TX, USA
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15
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Tang FR, Loke WK, Khoo BC. Low-dose or low-dose-rate ionizing radiation-induced bioeffects in animal models. JOURNAL OF RADIATION RESEARCH 2017; 58:165-182. [PMID: 28077626 PMCID: PMC5439383 DOI: 10.1093/jrr/rrw120] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 01/22/2016] [Indexed: 05/13/2023]
Abstract
Animal experimental studies indicate that acute or chronic low-dose ionizing radiation (LDIR) (≤100 mSv) or low-dose-rate ionizing radiation (LDRIR) (<6 mSv/h) exposures may be harmful. It induces genetic and epigenetic changes and is associated with a range of physiological disturbances that includes altered immune system, abnormal brain development with resultant cognitive impairment, cataractogenesis, abnormal embryonic development, circulatory diseases, weight gain, premature menopause in female animals, tumorigenesis and shortened lifespan. Paternal or prenatal LDIR/LDRIR exposure is associated with reduced fertility and number of live fetuses, and transgenerational genomic aberrations. On the other hand, in some experimental studies, LDIR/LDRIR exposure has also been reported to bring about beneficial effects such as reduction in tumorigenesis, prolonged lifespan and enhanced fertility. The differences in reported effects of LDIR/LDRIR exposure are dependent on animal genetic background (susceptibility), age (prenatal or postnatal days), sex, nature of radiation exposure (i.e. acute, fractionated or chronic radiation exposure), type of radiation, combination of radiation with other toxic agents (such as smoking, pesticides or other chemical toxins) or animal experimental designs. In this review paper, we aimed to update radiation researchers and radiologists on the current progress achieved in understanding the LDIR/LDRIR-induced bionegative and biopositive effects reported in the various animal models. The roles played by a variety of molecules that are implicated in LDIR/LDRIR-induced health effects will be elaborated. The review will help in future investigations of LDIR/LDRIR-induced health effects by providing clues for designing improved animal research models in order to clarify the current controversial/contradictory findings from existing studies.
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Affiliation(s)
- Feng Ru Tang
- Singapore Nuclear Research and Safety Initiative (SNRSI), National University of Singapore, 1 CREATE Way #04-01, CREATE Tower, 138602, Singapore
| | - Weng Keong Loke
- Temasek Laboratories, National University of Singapore, 5A, Engineering Drive 1, 117411,Singapore
| | - Boo Cheong Khoo
- DSO National Laboratories,Defence Medical and Environmental Research Institute, 11 Stockport Road,117605,Singapore
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16
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Auerbach SS. In vivo Signatures of Genotoxic and Non-genotoxic Chemicals. TOXICOGENOMICS IN PREDICTIVE CARCINOGENICITY 2016. [DOI: 10.1039/9781782624059-00113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
This chapter reviews the findings from a broad array of in vivo genomic studies with the goal of identifying a general signature of genotoxicity (GSG) that is indicative of exposure to genotoxic agents (i.e. agents that are active in either the bacterial mutagenesis and/or the in vivo micronucleus test). While the GSG has largely emerged from systematic studies of rat and mouse liver, its response is evident across a broad collection of genotoxic treatments that cover a variety of tissues and species. Pathway-based characterization of the GSG indicates that it is enriched with genes that are regulated by p53. In addition to the GSG, another pan-tissue signature related to bone marrow suppression (a common effect of genotoxic agent exposure) is reviewed. Overall, these signatures are quite effective in identifying genotoxic agents; however, there are situations where false positive findings can occur, for example when necrotizing doses of non-genotoxic soft electrophiles (e.g. thioacetamide) are used. For this reason specific suggestions for best practices for generating for use in the creation and application of in vivo genomic signatures are reviewed.
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Affiliation(s)
- Scott S. Auerbach
- Toxicoinformatic Group, Biomolecular Screening Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences PO Box 12233 MD K2-17 Research Triangle Park NC 27709 USA
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17
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Sabadashka M, Sybirna N. Reduction of radiation-induced nitrative stress in leucocytes and kidney cells of rats upon administration of polyphenolic complex concentrates from red wine. CYTOL GENET+ 2016. [DOI: 10.3103/s0095452716030099] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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18
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Wyrobek AJ, Britten RA. Individual variations in dose response for spatial memory learning among outbred wistar rats exposed from 5 to 20 cGy of (56) Fe particles. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2016; 57:331-340. [PMID: 27237589 DOI: 10.1002/em.22018] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 04/13/2016] [Indexed: 06/05/2023]
Abstract
Exposures of brain tissue to ionizing radiation can lead to persistent deficits in cognitive functions and behaviors. However, little is known about the quantitative relationships between exposure dose and neurological risks, especially for lower doses and among genetically diverse individuals. We investigated the dose relationship for spatial memory learning among genetically outbred male Wistar rats exposed to graded doses of (56) Fe particles (sham, 5, 10, 15, and 20 cGy; 1 GeV/n). Spatial memory learning was assessed on a Barnes maze using REL3 ratios measured at three months after exposure. Irradiated animals showed dose-dependent declines in spatial memory learning that were fit by a linear regression (P for slope <0.0002). The irradiated animals showed significantly impaired learning at 10 cGy exposures, no detectable learning between 10 and 15 cGy, and worsened performances between 15 and 20 cGy. The proportions of poor learners and the magnitude of their impairment were fit by linear regressions with doubling doses of ∼10 cGy. In contrast, there were no detectable deficits in learning among the good learners in this dose range. Our findings suggest that genetically diverse individuals can vary substantially in their spatial memory learning, and that exposures at low doses appear to preferentially impact poor learners. This hypothesis invites future investigations of the genetic and physiological mechanisms of inter-individual variations in brain function related to spatial memory learning after low-dose HZE radiation exposures and to determine whether it also applies to physical trauma to brain tissue and exposures to chemical neurotoxicants. Environ. Mol. Mutagen. 57:331-340, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Andrew J Wyrobek
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, California
| | - Richard A Britten
- Department of Radiation Oncology, and the Leroy T. Canoles Jr. Cancer Center, Eastern Virginia Medical School, Norfolk, Virginia
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19
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Wang FR, Fang QQ, Tang WM, Xu XS, Mahapatra T, Mahapatra S, Liu YF, Yu NL, Sun QF. Nested Case-control Study of Occupational Radiation Exposure and Breast and Esophagus Cancer Risk among Medical Diagnostic X Ray Workers in Jiangsu of China. Asian Pac J Cancer Prev 2016; 16:4699-704. [PMID: 26107226 DOI: 10.7314/apjcp.2015.16.11.4699] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Medical diagnostic X-ray workers are one occupational group that expose to the long-term low-dose external radiation over their working lifetime, and they may under risk of different cancers. This study aims to determine the relationship between the occupational X-ray radiation exposure and cancer risk among these workers in Jiangsu, China. We conducted Nested case-control study to investigate the occupational X-ray radiation exposure and cancer risk. Data were collected through self-administered questionnaire, which includes but not limits to demographic data, personal behaviors and family history of cancer. Retrospective dose reconstruction was conducted to estimate the cumulative doses of the x-ray workers. Inferential statistics, t-test and 2 tests were used to compare the differences between each group. We used the logistic regression model to calculate the odds ratio (OR) and 95% confidence interval (CI) of cancer by adjusting the age, gender. All 34 breast cancer cases and 45 esophageal cancer cases that detected in a cohort conducted among health workers between 1950~2011 were included in this presented study, and 158 cancer-free controls were selected by frequency-matched (1:2). Our study found that the occupational radiation exposure was associated with a significantly increased cancer risk compared with the control, especially in breast cancer and esophageal cancer (adjusted OR=2.90, 95% CI: 1.19-7.04 for breast cancer; OR=4.19, 95% CI: 1.87-9.38 for esophageal cancer, and OR=3.43, 95% CI: 1.92-6.12 for total cancer, respectively). The occupational X-ray radiation exposure was associated with increasing cancer risk, which indicates that proper intervention and prevention strategies may be needed in order to bring down the occupational cancer risk.
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Affiliation(s)
- Fu-Ru Wang
- Department of Radiation protection, JiangSu Provincial Center for Disease Prevention and Control, Nanjing, China E-mail : ;
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20
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Mao JH, Snijders AM. Low-dose radiation cancer susceptibility models. Aging (Albany NY) 2015; 7:352-3. [PMID: 26143074 PMCID: PMC4505158 DOI: 10.18632/aging.100767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 06/24/2015] [Indexed: 11/25/2022]
Affiliation(s)
- Jian-Hua Mao
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Antoine M Snijders
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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21
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Meng J, Li P, Zhang Q, Yang Z, Fu S. A radiosensitivity gene signature in predicting glioma prognostic via EMT pathway. Oncotarget 2015; 5:4683-93. [PMID: 24970813 PMCID: PMC4148091 DOI: 10.18632/oncotarget.2088] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
A 31-gene signature derived by integrating four different microarray experiments, has been found to have a potential for predicting radiosensitivity of cancer cells, but it was seldom validated in clinical cancer samples. We proposed that the gene signature may serve as a predictive biomarker for estimating the overall survival of radiation-treated patients. The significance of gene signature was tested in two previously published datasets from Gene Expression Omnibus (GEO) and The Cancer Genome Altas (TCGA), respectively. In GEO data set, patients predicted to be radiosensitive(RS) had an improved overall survival when compared with radioresistant(RR) patients in either radiotherapy(RT)-treated or non radiotherapy(RT)-treated subgroups(p<0.0001 in the RT-treated group). Multivariate Cox regression analysis showed that the gene signature is the strongest predictor(p=0.0093) in the RT-treated subgroup of patients. However, it does not remain significant (p=0.7668) in non radiotherapy-treated group when adjusting for age and Karnofsky performance score (KPS) as covariates. Similarly, in the TCGA data set, radiotherapy-treated glioblastoma multiforme(GBM) patients assigned to RS group had an improved overall survival compared with RR group(p<0.0001). Geneset enrichment analysis(GSEA) analysis revealed that enrichment of epithelial mesenchymal transition(EMT) pathway was observed with radioresistant phenotype. These results suggest that the signature is a predictive biomarker for radiation-treated glioma patients' prognostic.
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Affiliation(s)
- Jin Meng
- Department of Radiation Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, China
| | - Ping Li
- Department of Radiation Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, China
| | - Qing Zhang
- Radiation Oncology Center, Fudan University Shanghai Cancer Center (FUSCC), Shanghai, China. Radiation Oncology Dept, Shanghai Proton and Heavy Ion Center (SPHIC), Shanghai, China
| | - Zhangru Yang
- Department of Radiation Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, China
| | - Shen Fu
- Radiation Oncology Center, Fudan University Shanghai Cancer Center (FUSCC), Shanghai, China. Radiation Oncology Dept, Shanghai Proton and Heavy Ion Center (SPHIC), Shanghai, China
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22
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Snijders AM, Langley S, Mao JH, Bhatnagar S, Bjornstad KA, Rosen CJ, Lo A, Huang Y, Blakely EA, Karpen GH, Bissell MJ, Wyrobek AJ. An interferon signature identified by RNA-sequencing of mammary tissues varies across the estrous cycle and is predictive of metastasis-free survival. Oncotarget 2015; 5:4011-25. [PMID: 24994117 PMCID: PMC4147302 DOI: 10.18632/oncotarget.2148] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
The concept that a breast cancer patient's menstrual stage at the time of tumor surgery influences risk of metastases remains controversial. The scarcity of comprehensive molecular studies of menstrual stage-dependent fluctuations in the breast provides little insight. To gain a deeper understanding of the biological changes in mammary tissue and blood during the menstrual cycle and to determine the influence of environmental exposures, such as low-dose ionizing radiation (LDIR), we used the mouse to characterize estrous-cycle variations in mammary gene transcripts by RNA-sequencing, peripheral white blood cell (WBC) counts and plasma cytokine levels. We identified an estrous-variable and hormone-dependent gene cluster enriched for Type-1 interferon genes. Cox regression identified a 117-gene signature of interferon-associated genes, which correlated with lower frequencies of metastasis in breast cancer patients. LDIR (10cGy) exposure had no detectable effect on mammary transcripts. However, peripheral WBC counts varied across the estrous cycle and LDIR exposure reduced lymphocyte counts and cytokine levels in tumor-susceptible mice. Our finding of variations in mammary Type-1 interferon and immune functions across the estrous cycle provides a mechanism by which timing of breast tumor surgery during the menstrual cycle may have clinical relevance to a patient's risk for distant metastases.
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Affiliation(s)
- Antoine M Snijders
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Sasha Langley
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Jian-Hua Mao
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Sandhya Bhatnagar
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | | | - Chris J Rosen
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Alvin Lo
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Yurong Huang
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Eleanor A Blakely
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Gary H Karpen
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Mina J Bissell
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Andrew J Wyrobek
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA
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MUKHERJEE SANJAY, SAINIS KB, DEOBAGKAR DEEPTID. F1 hybrids of BALB/c and C57BL/6 mouse strains respond differently to low-dose ionizing radiation exposure. J Genet 2014; 93:667-82. [DOI: 10.1007/s12041-014-0422-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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24
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Zhang Q, Matzke M, Schepmoes AA, Moore RJ, Webb-Robertson BJ, Hu Z, Monroe ME, Qian WJ, Smith RD, Morgan WF. High and low doses of ionizing radiation induce different secretome profiles in a human skin model. PLoS One 2014; 9:e92332. [PMID: 24642900 PMCID: PMC3958549 DOI: 10.1371/journal.pone.0092332] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 02/21/2014] [Indexed: 12/28/2022] Open
Abstract
It is postulated that secreted soluble factors are important contributors of bystander effect and adaptive responses observed in low dose ionizing radiation. Using multidimensional liquid chromatography-mass spectrometry based proteomics, we quantified the changes of skin tissue secretome – the proteins secreted from a full thickness, reconstituted 3-dimensional skin tissue model 48 hr after exposure to 3, 10 and 200 cGy of X-rays. Overall, 135 proteins showed statistical significant difference between the sham (0 cGy) and any of the irradiated groups (3, 10 or 200 cGy) on the basis of Dunnett adjusted t-test; among these, 97 proteins showed a trend of downregulation and 9 proteins showed a trend of upregulation with increasing radiation dose. In addition, there were 21 and 8 proteins observed to have irregular trends with the 10 cGy irradiated group either having the highest or the lowest level among all three radiated doses. Moreover, two proteins, carboxypeptidase E and ubiquitin carboxyl-terminal hydrolase isozyme L1 were sensitive to ionizing radiation, but relatively independent of radiation dose. Conversely, proteasome activator complex subunit 2 protein appeared to be sensitive to the dose of radiation, as rapid upregulation of this protein was observed when radiation doses were increased from 3, to 10 or 200 cGy. These results suggest that different mechanisms of action exist at the secretome level for low and high doses of ionizing radiation.
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Affiliation(s)
- Qibin Zhang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
- * E-mail:
| | - Melissa Matzke
- Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Athena A. Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Ronald J. Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Bobbie-Jo Webb-Robertson
- Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Zeping Hu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Matthew E. Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Richard D. Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - William F. Morgan
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
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Qiu Y, Tamura T, Ching WK, Akutsu T. On control of singleton attractors in multiple Boolean networks: integer programming-based method. BMC SYSTEMS BIOLOGY 2014; 8 Suppl 1:S7. [PMID: 24565276 PMCID: PMC4080371 DOI: 10.1186/1752-0509-8-s1-s7] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Boolean network (BN) is a mathematical model for genetic network and control of genetic networks has become an important issue owing to their potential application in the field of drug discovery and treatment of intractable diseases. Early researches have focused primarily on the analysis of attractor control for a randomly generated BN. However, one may also consider how anti-cancer drugs act in both normal and cancer cells. Thus, the development of controls for multiple BNs is an important and interesting challenge. Results In this article, we formulate three novel problems about attractor control for two BNs (i.e., normal cell and cancer cell). The first is about finding a control that can significantly damage cancer cells but has a limited damage to normal cells. The second is about finding a control for normal cells with a guaranteed damaging effect on cancer cells. Finally, we formulate a definition for finding a control for cancer cells with limited damaging effect on normal cells. We propose integer programming-based methods for solving these problems in a unified manner, and we conduct computational experiments to illustrate the efficiency and the effectiveness of our method for our multiple-BN control problems. Conclusions We present three novel control problems for multiple BNs that are realistic control models for gene regulation networks and adopt an integer programming approach to address these problems. Experimental results indicate that our proposed method is useful and effective for moderate size BNs.
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Newman MR, Sykes PJ, Blyth BJ, Bezak E, Lawrence MD, Morel KL, Ormsby RJ. The methylation of DNA repeat elements is sex-dependent and temporally different in response to X radiation in radiosensitive and radioresistant mouse strains. Radiat Res 2014; 181:65-75. [PMID: 24397437 DOI: 10.1667/rr13460.1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The effects of ionizing radiation on DNA methylation are of importance due to the role that DNA methylation plays in maintaining genome stability, and the presence of aberrant DNA methylation in many cancers. There is limited evidence that radiation-sensitivity may influence the modulation of DNA methylation by ionizing radiation, resulting in a loss of methylation. The BALB/c, CBA and C57Bl/6 strains are the most commonly utilized mouse strains in radiation research and are classified as radiation sensitive (BALB/c and CBA) or radiation resistant (C57Bl/6). We present here the first direct comparison of changes in repeat element DNA methylation (L1, B1 and Intracisternal A Particle; IAP) over time in these three mouse strains after high-dose radiation exposure. Using a high-resolution melt assay, methylation of the spleen repeat elements was investigated between 1 and 14 days after whole-body irradiation with 1 Gy X rays. Our study demonstrated that rather than a loss of methylation at the elements, all strains exhibited an early increase in L1 methylation one day after irradiation. In the most radiosensitive strain (BALB/c) the increase was also detected at 6 days postirradiation. The radioresistant C57Bl/6 strain exhibited a loss of L1 methylation at 14 days postirradiation. Less extensive changes to the B1 and IAP elements were detected at various time points, and pyrosequencing revealed that the responses of the strains were influenced by sex, with the male BALB/c and CBA mice exhibiting a greater response to the irradiation. The results of our study do not support the hypothesis that the most radiosensitive strains exhibit the greatest loss of repeat element DNA methylation after exposure to high-dose radiation. While the exact mechanism and biological outcome of the changes in DNA methylation observed here are still to be elucidated, this study provides the first evidence that radiation exposure elicits time-dependent changes in the methylation of repeat elements that are influenced by the genetic background, gender and the type of repeat element investigated. Furthermore, it suggest that any induced changes may not be persistent.
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Affiliation(s)
- Michelle R Newman
- a Flinders Centre for Innovation in Cancer, Flinders University and Medical Centre, Bedford Park, SA, Australia; and
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27
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Effects of low doses of ionizing radiation exposures on stress-responsive gene expression in human embryonic stem cells. Int J Mol Sci 2014; 15:588-604. [PMID: 24398983 PMCID: PMC3907827 DOI: 10.3390/ijms15010588] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Revised: 12/25/2013] [Accepted: 12/26/2013] [Indexed: 12/26/2022] Open
Abstract
There is a great deal of uncertainty on how low (≤0.1 Gy) doses of ionizing radiation (IR) affect human cells, partly due to a lack of suitable experimental model systems for such studies. The uncertainties arising from low-dose IR human data undermine practical societal needs to predict health risks emerging from diagnostic medical tests’ radiation, natural background radiation, and environmental radiological accidents. To eliminate a variability associated with remarkable differences in radioresponses of hundreds of differentiated cell types, we established a novel, human embryonic stem cell (hESC)-based model to examine the radiobiological effects in human cells. Our aim is to comprehensively elucidate the gene expression changes in a panel of various hESC lines following low IR doses of 0.01; 0.05; 0.1 Gy; and, as a reference, relatively high dose of 1 Gy of IR. Here, we examined the dynamics of transcriptional changes of well-established IR-responsive set of genes, including CDKN1A, GADD45A, etc. at 2 and 16 h post-IR, representing “early” and “late” radioresponses of hESCs. Our findings suggest the temporal- and hESC line-dependence of stress gene radioresponses with no statistically significant evidence for a linear dose-response relationship within the lowest doses of IR exposures.
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Yu X, Huang Y, Li C, Yang H, Lu C, Duan S. Positive association between lymphotoxin-alpha variation rs909253 and cancer risk: a meta-analysis based on 36 case-control studies. Tumour Biol 2013; 35:1973-83. [PMID: 24136744 DOI: 10.1007/s13277-013-1263-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Accepted: 09/25/2013] [Indexed: 01/14/2023] Open
Abstract
Lymphotoxin-alpha (LTA) polymorphism rs909253 has been reported to be a risk factor for cancers, but some results are inconsistent. To establish a more conclusive association, we performed a meta-analysis of this variant with cancers. A systematic search was performed for informative case-control studies of rs909253 with cancers among literature databases, including PubMed, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang Chinese Periodical Database. After a comprehensive filtration procedure, 36 publications involved with 35,677 participants were selected for the current meta-analysis. Stratified factors, such as cancer type, populations, and source of control, were used for a better interpretation of this variant. Minimal heterogeneity was shown in the current meta-analysis (I (2) = 0.0%, P = 0.48). Our results show a significant association of rs909253 and cancer risk (odds ratio (OR) = 1.12, P (z) < 0.001). In the subgroup analysis, significant association of rs909253 was found in adenocarcinoma (OR = 1.16, P (z) < 0.001) and hematological malignancy (OR = 1.10, P (z) < 0.001). Our meta-analyses established a significant association of rs909253 with cancer risk among multiple populations including North Americans, Asians, and Europeans.
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Affiliation(s)
- Xi Yu
- Ningbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, 315041, China
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