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Kannan N, Koshy T, Raavi V, Bhaskar E, Moorthy S, Pulivadula Mohanarangam VS, Srinivas Kondaveeti S, Visweswaran S, Perumal V. Candidate Gene Expression in Regional Population and Its Relevance for Radiation Triage. Cytogenet Genome Res 2023; 163:210-222. [PMID: 37253332 DOI: 10.1159/000531258] [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: 12/21/2022] [Accepted: 05/24/2023] [Indexed: 06/01/2023] Open
Abstract
Quantification of gene expression signatures has been substantiated as a potential and rapid marker for radiation triage and biodosimetry during nuclear emergencies. Similar to the established biodosimetry assays, the gene expression assay has drawbacks such as being highly dynamic and transient, not specific to ionizing radiation, and also influenced by confounding factors such as gender, health status, lifestyle, and inflammation. In view of that, prior knowledge of baseline expression of certain candidate genes in a population could complement the discrimination of the unexposed from the exposed individuals without the need for individual pre-exposure controls. We intended to establish a baseline expression of reported radiation-responsive genes such as CDKN1A, DDB2, FDXR, and PCNA in the blood samples of healthy human participants and then compare it with diabetic/hypertension participants (as a chronic inflammatory condition) drawn from south Indian population. Further, we have examined the appropriateness of the assay for radiation triage-like situations; i.e., the expression profiles of those genes were examined in the participants who underwent X-ray-based medical imaging. Acute inflammation induced by lipopolysaccharide exposure in the blood significantly increased the fold expression of those genes (p < 0.0001) compared to the control. Whereas the basal expression level of those genes among the participants with the inflammatory condition is marginally higher than those observed in the healthy participants; despite the excess, the fold increase in those genes between the groups did not differ significantly. Consistent with the inflammatory participants, the basal expression level of those genes in the blood sample of participants who received X-radiation during neuro-interventional and computed tomography imaging is marginally higher than those observed in the pre-exposure of respective groups. Nevertheless, the fold increase in those genes did not differ significantly as the fold change fell within the two folds. Thus, overall results suggest that the utility of CDKN1A, DDB2, FDXR, and PCNA gene expression for radiation triage specific after very low-dose radiation exposure needs to be interpreted with caution for a much more reliable triage.
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Affiliation(s)
- Nandhini Kannan
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Teena Koshy
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Venkateswarlu Raavi
- Department of Cell Biology and Molecular Genetics, Sri Devaraj Urs Academy of Higher Education and Research (Deemed to Be University), Kolar, India
| | - Emmanuel Bhaskar
- Department of General Medicine, SRMC&RI, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Swathy Moorthy
- Department of General Medicine, SRMC&RI, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Venkata Sai Pulivadula Mohanarangam
- Department of Radiology and Imaging Sciences, SRMC&RI, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Satish Srinivas Kondaveeti
- Department of Radiation Oncology, SRMC&RI, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Shangamithra Visweswaran
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
| | - Venkatachalam Perumal
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, India
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Zhao H, Qu M, Li Y, Wen K, Xu H, Song M, Xie D, Ao X, Gong Y, Sui L, Guan H, Zhou P, Xie J. An estimate assay for low-level exposure to ionizing radiation based on mass spectrometry quantification of γ-H2AX in human peripheral blood lymphocytes. Front Public Health 2022; 10:1031743. [PMID: 36388350 PMCID: PMC9651621 DOI: 10.3389/fpubh.2022.1031743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/14/2022] [Indexed: 01/29/2023] Open
Abstract
Exposure to environmental ionizing radiation (IR) is ubiquitous, and large-dose exposure to IR is known to cause DNA damage and genotoxicity which is associated with an increased risk of cancer. Whether such detrimental effects are caused by exposure to low-dose IR is still debated. Therefore, rapid and early estimation of absorbed doses of IR in individuals, especially at low levels, using radiation response markers is a pivotal step for early triage during radiological incidents to provide adequate and timely clinical interventions. However, there is currently a crucial shortage of methods capable of determining the extent of low-dose IR exposure to human beings. The phosphorylation of histone H2AX on serine 139 (designated γ-H2AX), a classic biological dosimeter, can be used to evaluate the DNA damage response. We have developed an estimation assay for low-level exposure to IR based on the mass spectrometry quantification of γ-H2AX in blood. Human peripheral blood lymphocytes sensitive to low-dose IR, maintaining low temperature (4°C) and adding enzyme inhibitor are proven to be key steps, possibly insuring that a stable and marked γ-H2AX signal in blood cells exposed to low-dose IR could be detected. For the first time, DNA damage at low dose exposures to IR as low as 0.01 Gy were observed using the sensitive variation of γ-H2AX with high throughput mass spectrometry quantification in human peripheral blood, which is more accurate than the previously reported methods by virtue of isotope-dilution mass spectrometry, and can observe the time effect of DNA damage. These in vitro cellular dynamic monitoring experiments show that DNA damage occurred rapidly and then was repaired slowly over the passage of post-irradiation time even after exposure to very low IR doses. This assay was also used to assess different radiation exposures at the in vitro cellular level. These results demonstrate the potential utility of this assay in radiation biodosimetry and environmental risk assessment.
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Affiliation(s)
- Hongling Zhao
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Minmin Qu
- State Key Laboratory of Toxicology and Medical Countermeasures and Laboratory of Toxicant Analysis, Institute of Pharmacology and Toxicology, Beijing, China
| | - Yuchen Li
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Ke Wen
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Hua Xu
- State Key Laboratory of Toxicology and Medical Countermeasures and Laboratory of Toxicant Analysis, Institute of Pharmacology and Toxicology, Beijing, China
| | - Man Song
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Dafei Xie
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Xingkun Ao
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Yihao Gong
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing, China
| | - Li Sui
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing, China
| | - Hua Guan
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China,*Correspondence: Hua Guan
| | - Pingkun Zhou
- Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China,Pingkun Zhou
| | - Jianwei Xie
- State Key Laboratory of Toxicology and Medical Countermeasures and Laboratory of Toxicant Analysis, Institute of Pharmacology and Toxicology, Beijing, China,Jianwei Xie
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Phillips M, Grun F, Schmitt P. Breath biomarkers of total body irradiation in non-human primates. J Breath Res 2021; 16. [PMID: 34781275 DOI: 10.1088/1752-7163/ac39aa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/15/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND Radiation exposure causes oxidative stress, eliciting production of metabolites that are exhaled in the breath as volatile organic compounds (VOCs). We evaluated breath VOCs as potential biomarkers for use in radiation biodosimetry. METHODS Five anesthetized non-human primates receive total body irradiation (TBI) of three daily fractions of 120 cGy per day for three days, resulting in a cumulative dose of 10.8 Gy. Breath samples were collected prior to irradiation and after each radiation fraction, and analyzed with gas chromatography mass spectrometry. RESULTS TBI elicited a prompt and statistically significant increase in the abundance of several hundred VOCs in the breath, including some that were increased more than five-fold, with100% sensitivity and 100% specificity for radiation exposure. The most significant breath VOC biomarkers of radiation mainly comprised straight-chain n-alkanes (e.g. hexane), as well as methylated alkanes (e.g. 3-methyl-pentane) and alkane derivatives (e.g. 2-butyl-1-octanol), consistent with metabolic products of oxidative stress. An unidentified breath VOC biomarker increased more than ten-fold following TBI, and rose linearly with the total cumulative dose of radiation (R2=0.92). CONCLUSIONS TBI of non-human primates elicited increased production of breath VOCs consistent with increased oxidative stress. These findings provide a rational basis for further evaluation of breath VOC biomarkers in human radiation biodosimetry.
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Affiliation(s)
- Michael Phillips
- Menssana Research INC, Suite 517, 211 Warren Street, Newark, NJ 07103, USA, Newark, New Jersey, 07103, UNITED STATES
| | - Felix Grun
- Mass Spectrometry Facility, University of California Irvine, Irvine, CA 92697-2025, Irvine, California, 92697, UNITED STATES
| | - Peter Schmitt
- Schmitt & Associates, , 211 Warren St, Newark, NJ 07103, Newark, New Jersey, 07103, UNITED STATES
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Yadav M, Bhayana S, Liu J, Lu L, Huang J, Ma Y, Qamri Z, Mo X, Jacob DS, Parasa ST, Bhuiya N, Fadda P, Xu-Welliver M, Chakravarti A, Jacob NK. Two-miRNA-based finger-stick assay for estimation of absorbed ionizing radiation dose. Sci Transl Med 2021; 12:12/552/eaaw5831. [PMID: 32669422 DOI: 10.1126/scitranslmed.aaw5831] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 09/12/2019] [Accepted: 06/24/2020] [Indexed: 12/24/2022]
Abstract
Nuclear radiation and radioactive fallouts resulting from a nuclear weapon detonation or reactor accidents could result in injuries affecting multiple sensitive organs, defined as acute radiation syndrome (ARS). Rapid and early estimation of injuries to sensitive organs using markers of radiation response is critical for identifying individuals who could potentially exhibit ARS; however, there are currently no biodosimetry assays approved for human use. We developed a sensitive microRNA (miRNA)-based blood test for radiation dose reconstruction with ±0.5 Gy resolution at critical dose range. Radiation dose-dependent changes in miR-150-5p in blood were internally normalized by a miRNA, miR-23a-3p, that was nonresponsive to radiation. miR-23a-3p was not highly expressed in blood cells but was abundant in circulation and was released primarily from the lung. Our assay showed the capability for dose estimation within hours to 1 week after exposure using a drop of blood from mice. We tested this biodosimetry assay for estimation of absorbed ionizing radiation dose in mice of varying ages and after exposure to both improvised nuclear device (IND)-spectrum neutrons and gamma rays. Leukemia specimens from patients exposed to fractionated radiation showed depletion of miR-150-5p in blood. We bridged the exposure of these patients to fractionated radiation by comparing responses after fractionated versus single acute exposure in mice. Although validation in nonhuman primates is needed, this proof-of-concept study suggests the potential utility of this assay in radiation disaster management and clinical applications.
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Affiliation(s)
- Marshleen Yadav
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Sagar Bhayana
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Joseph Liu
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Lanchun Lu
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA.,Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Jason Huang
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Ya Ma
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Zahida Qamri
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Xiaokui Mo
- Center for Biostatistics, The Ohio State University, Columbus, OH 43210, USA
| | - Diviya S Jacob
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Shashaank T Parasa
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Noureen Bhuiya
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Paolo Fadda
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Meng Xu-Welliver
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA.,Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Arnab Chakravarti
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA.,Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Naduparambil K Jacob
- The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA. .,Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
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Amundson SA. Transcriptomics for radiation biodosimetry: progress and challenges. Int J Radiat Biol 2021; 99:925-933. [PMID: 33970766 PMCID: PMC10026363 DOI: 10.1080/09553002.2021.1928784] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/08/2021] [Accepted: 04/19/2021] [Indexed: 01/08/2023]
Abstract
PURPOSE Transcriptomic-based approaches are being developed to meet the needs for large-scale radiation dose and injury assessment and provide population triage following a radiological or nuclear event. This review provides background and definition of the need for new biodosimetry approaches, and summarizes the major advances in this field. It discusses some of the major model systems used in gene signature development, and highlights some of the remaining challenges, including individual variation in gene expression, potential confounding factors, and accounting for the complexity of realistic exposure scenarios. CONCLUSIONS Transcriptomic approaches show great promise for both dose reconstruction and for prediction of individual radiological injury. However, further work will be needed to ensure that gene expression signatures will be robust and appropriate for their intended use in radiological or nuclear emergencies.
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Affiliation(s)
- Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, USA
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Mukherjee S, Laiakis EC, Fornace AJ, Amundson SA. Impact of inflammatory signaling on radiation biodosimetry: mouse model of inflammatory bowel disease. BMC Genomics 2019; 20:329. [PMID: 31046668 PMCID: PMC6498469 DOI: 10.1186/s12864-019-5689-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 04/11/2019] [Indexed: 12/19/2022] Open
Abstract
Background Ionizing Radiation (IR) is a known pro-inflammatory agent and in the process of development of biomarkers for radiation biodosimetry, a chronic inflammatory disease condition could act as a confounding factor. Hence, it is important to develop radiation signatures that can distinguish between IR-induced inflammatory responses and pre-existing disease. In this study, we compared the gene expression response of a genetically modified mouse model of inflammatory bowel disease (Il10−/−) with that of a normal wild-type mouse to potentially develop transcriptomics-based biodosimetry markers that can predict radiation exposure in individuals regardless of pre-existing inflammatory condition. Results Wild-type (WT) and Il10−/− mice were exposed to whole body irradiation of 7 Gy X-rays. Gene expression responses were studied using high throughput whole genome microarrays in peripheral blood 24 h post-irradiation. Analysis resulted in identification of 1962 and 1844 genes differentially expressed (p < 0.001, FDR < 10%) after radiation exposure in Il10−/− and WT mice respectively. A set of 155 genes was also identified as differentially expressed between WT and Il10−/− mice at the baseline pre-irradiation level. Gene ontology analysis revealed that the 155 baseline differentially expressed genes were mainly involved in inflammatory response, glutathione metabolism and collagen deposition. Analysis of radiation responsive genes revealed that innate immune response and p53 signaling processes were strongly associated with up-regulated genes, whereas B-cell development process was found to be significant amongst downregulated genes in the two genotypes. However, specific immune response pathways like MHC based antigen presentation, interferon signaling and hepatic fibrosis were associated with radiation responsive genes in Il10−/− mice but not WT mice. Further analysis using the IPA prediction tool revealed significant differences in the predicted activation status of T-cell mediated signaling as well as regulators of inflammation between WT and Il10−/− after irradiation. Conclusions Using a mouse model we established that an inflammatory disease condition could affect the expression of many radiation responsive genes. Nevertheless, we identified a panel of genes that, regardless of disease condition, could predict radiation exposure. Our results highlight the need for consideration of pre-existing conditions in the population in the process of development of reliable biodosimetry markers. Electronic supplementary material The online version of this article (10.1186/s12864-019-5689-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sanjay Mukherjee
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA.
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA.,Department of Biochemistry and Molecular & Cell Biology, Georgetown University, Washington, DC, 20057, USA
| | - Albert J Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA.,Department of Biochemistry and Molecular & Cell Biology, Georgetown University, Washington, DC, 20057, USA
| | - Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, 10032, USA
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7
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Suresh Kumar MA, Laiakis EC, Ghandhi SA, Morton SR, Fornace AJ, Amundson SA. Gene Expression in Parp1 Deficient Mice Exposed to a Median Lethal Dose of Gamma Rays. Radiat Res 2018; 190:53-62. [PMID: 29746213 DOI: 10.1667/rr14990.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
There is a current interest in the development of biodosimetric methods for rapidly assessing radiation exposure in the wake of a large-scale radiological event. This work was initially focused on determining the exposure dose to an individual using biological indicators. Gene expression signatures show promise for biodosimetric application, but little is known about how these signatures might translate for the assessment of radiological injury in radiosensitive individuals, who comprise a significant proportion of the general population, and who would likely require treatment after exposure to lower doses. Using Parp1-/- mice as a model radiation-sensitive genotype, we have investigated the effect of this DNA repair deficiency on the gene expression response to radiation. Although Parp1 is known to play general roles in regulating transcription, the pattern of gene expression changes observed in Parp1-/- mice 24 h postirradiation to a LD50/30 was remarkably similar to that in wild-type mice after exposure to LD50/30. Similar levels of activation of both the p53 and NFκB radiation response pathways were indicated in both strains. In contrast, exposure of wild-type mice to a sublethal dose that was equal to the Parp1-/- LD50/30 resulted in a lower magnitude gene expression response. Thus, Parp1-/- mice displayed a heightened gene expression response to radiation, which was more similar to the wild-type response to an equitoxic dose than to an equal absorbed dose. Gene expression classifiers trained on the wild-type data correctly identified all wild-type samples as unexposed, exposed to a sublethal dose or exposed to an LD50/30. All unexposed samples from Parp1-/- mice were also correctly classified with the same gene set, and 80% of irradiated Parp1-/- samples were identified as exposed to an LD50/30. The results of this study suggest that, at least for some pathways that may influence radiosensitivity in humans, specific gene expression signatures have the potential to accurately detect the extent of radiological injury, rather than serving only as a surrogate of physical radiation dose.
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Affiliation(s)
- M A Suresh Kumar
- a Center for Radiological Research, Columbia University Medical Center, Columbia University, New York, New York
| | - Evagelia C Laiakis
- b Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC
| | - Shanaz A Ghandhi
- a Center for Radiological Research, Columbia University Medical Center, Columbia University, New York, New York
| | - Shad R Morton
- a Center for Radiological Research, Columbia University Medical Center, Columbia University, New York, New York
| | - Albert J Fornace
- b Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC
| | - Sally A Amundson
- a Center for Radiological Research, Columbia University Medical Center, Columbia University, New York, New York
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Park JG, Paul S, Briones N, Zeng J, Gillis K, Wallstrom G, LaBaer J, Amundson SA. Developing Human Radiation Biodosimetry Models: Testing Cross-Species Conversion Approaches Using an Ex Vivo Model System. Radiat Res 2017; 187:708-721. [PMID: 28328310 DOI: 10.1667/rr14655.1] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
In the event of a large-scale radiation exposure, accurate and quick assessment of radiation dose received would be critical for triage and medical treatment of large numbers of potentially exposed individuals. Current methods of biodosimetry, such as the dicentric chromosome assay, are time consuming and require sophisticated equipment and highly trained personnel. Therefore, scalable biodosimetry approaches, including gene expression profiles in peripheral blood cells, are being investigated. Due to the limited availability of appropriate human samples, biodosimetry development has relied heavily on mouse models, which are not directly applicable to human response. Therefore, to explore the feasibility of using non-human primate (NHP) models to build and test a biodosimetry algorithm for use in humans, we irradiated ex vivo peripheral blood samples from both humans and rhesus macaques with doses of 0, 2, 5, 6 and 7 Gy, and compared the gene expression profiles 24 h later using Agilent human microarrays. Among the dose-responsive genes in human and using non-human primate, 52 genes showed highly correlated expression patterns between the species, and were enriched in p53/DNA damage response, apoptosis and cell cycle-related genes. When these interspecies-correlated genes were used to build biodosimetry models with using NHP data, the mean prediction accuracy on non-human primate samples was about 90% within 1 Gy of delivered dose in leave-one-out cross-validation. However, tests on human samples suggested that human gene expression values may need to be adjusted prior to application of the NHP model. A "multi-gene" approach utilizing all gene values for cross-species conversion and applying the converted values on the NHP biodosimetry models, gave a leave-one-out cross-validation prediction accuracy for human samples highly comparable (up to 94%) to that for non-human primates. Overall, this study demonstrates that a robust NHP biodosimetry model can be built using interspecies-correlated genes, and that, by using multiple regression-based cross-species conversion of expression values, absorbed dose in human samples can be accurately predicted by the NHP model.
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Affiliation(s)
- Jin G Park
- a Biodesign Center for Personalized Diagnostic, Biodesign Institute, Arizona State University, Arizona
| | - Sunirmal Paul
- d Center for Radiological Research, Columbia University Medical Center, New York
| | - Natalia Briones
- a Biodesign Center for Personalized Diagnostic, Biodesign Institute, Arizona State University, Arizona
| | - Jia Zeng
- a Biodesign Center for Personalized Diagnostic, Biodesign Institute, Arizona State University, Arizona.,b Department of Biomedical Informatics, Arizona State University, Arizona
| | - Kristin Gillis
- a Biodesign Center for Personalized Diagnostic, Biodesign Institute, Arizona State University, Arizona
| | - Garrick Wallstrom
- a Biodesign Center for Personalized Diagnostic, Biodesign Institute, Arizona State University, Arizona.,b Department of Biomedical Informatics, Arizona State University, Arizona
| | - Joshua LaBaer
- a Biodesign Center for Personalized Diagnostic, Biodesign Institute, Arizona State University, Arizona.,c School of Molecular Sciences, Arizona State University, Arizona
| | - Sally A Amundson
- d Center for Radiological Research, Columbia University Medical Center, New York
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Hall J, Jeggo PA, West C, Gomolka M, Quintens R, Badie C, Laurent O, Aerts A, Anastasov N, Azimzadeh O, Azizova T, Baatout S, Baselet B, Benotmane MA, Blanchardon E, Guéguen Y, Haghdoost S, Harms-Ringhdahl M, Hess J, Kreuzer M, Laurier D, Macaeva E, Manning G, Pernot E, Ravanat JL, Sabatier L, Tack K, Tapio S, Zitzelsberger H, Cardis E. Ionizing radiation biomarkers in epidemiological studies - An update. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2017; 771:59-84. [PMID: 28342453 DOI: 10.1016/j.mrrev.2017.01.001] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 01/09/2017] [Indexed: 01/13/2023]
Abstract
Recent epidemiology studies highlighted the detrimental health effects of exposure to low dose and low dose rate ionizing radiation (IR): nuclear industry workers studies have shown increased leukaemia and solid tumour risks following cumulative doses of <100mSv and dose rates of <10mGy per year; paediatric patients studies have reported increased leukaemia and brain tumours risks after doses of 30-60mGy from computed tomography scans. Questions arise, however, about the impact of even lower doses and dose rates where classical epidemiological studies have limited power but where subsets within the large cohorts are expected to have an increased risk. Further progress requires integration of biomarkers or bioassays of individual exposure, effects and susceptibility to IR. The European DoReMi (Low Dose Research towards Multidisciplinary Integration) consortium previously reviewed biomarkers for potential use in IR epidemiological studies. Given the increased mechanistic understanding of responses to low dose radiation the current review provides an update covering technical advances and recent studies. A key issue identified is deciding which biomarkers to progress. A roadmap is provided for biomarker development from discovery to implementation and used to summarise the current status of proposed biomarkers for epidemiological studies. Most potential biomarkers remain at the discovery stage and for some there is sufficient evidence that further development is not warranted. One biomarker identified in the final stages of development and as a priority for further research is radiation specific mRNA transcript profiles.
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Affiliation(s)
- Janet Hall
- Centre de Recherche en Cancérologie de Lyon, INSERM 1052, CNRS 5286, Univ Lyon, Université Claude Bernard, Lyon 1, Lyon, F-69424, France.
| | - Penny A Jeggo
- Genome Damage and Stability Centre, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9RQ, United Kingdom
| | - Catharine West
- Translational Radiobiology Group, Institute of Cancer Sciences, The University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, M20 4BX, United Kingdom
| | - Maria Gomolka
- Federal Office for Radiation Protection, Department of Radiation Protection and Health, D-85764 Neuherberg, Germany
| | - Roel Quintens
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, United Kingdom
| | - Olivier Laurent
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - An Aerts
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Nataša Anastasov
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Omid Azimzadeh
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Tamara Azizova
- Southern Urals Biophysics Institute, Clinical Department, Ozyorsk, Russia
| | - Sarah Baatout
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Cell Systems and Imaging Research Group, Department of Molecular Biotechnology, Ghent University, B-9000 Ghent, Belgium
| | - Bjorn Baselet
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Pole of Pharmacology, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, B-1200 Brussels, Belgium
| | - Mohammed A Benotmane
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Eric Blanchardon
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Yann Guéguen
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Siamak Haghdoost
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 106 91 Stockholm, Sweden
| | - Mats Harms-Ringhdahl
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 106 91 Stockholm, Sweden
| | - Julia Hess
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Michaela Kreuzer
- Federal Office for Radiation Protection, Department of Radiation Protection and Health, D-85764 Neuherberg, Germany
| | - Dominique Laurier
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Ellina Macaeva
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Cell Systems and Imaging Research Group, Department of Molecular Biotechnology, Ghent University, B-9000 Ghent, Belgium
| | - Grainne Manning
- Cancer Mechanisms and Biomarkers group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, United Kingdom
| | - Eileen Pernot
- INSERM U897, Université de Bordeaux, F-33076 Bordeaux cedex, France
| | - Jean-Luc Ravanat
- Laboratoire des Lésions des Acides Nucléiques, Univ. Grenoble Alpes, INAC-SCIB, F-38000 Grenoble, France; Commissariat à l'Énergie Atomique, INAC-SyMMES, F-38000 Grenoble, France
| | - Laure Sabatier
- Commissariat à l'Énergie Atomique, BP6, F-92265 Fontenay-aux-Roses, France
| | - Karine Tack
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Soile Tapio
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Horst Zitzelsberger
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Elisabeth Cardis
- Barcelona Institute of Global Health (ISGlobal), Centre for Research in Environmental Epidemiology, Radiation Programme, Barcelona Biomedical Research Park, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF) (MTD formerly), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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10
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Ishihara H, Tanaka I, Yakumaru H, Tanaka M, Yokochi K, Fukutsu K, Tajima K, Nishimura M, Shimada Y, Akashi M. Quantification of damage due to low-dose radiation exposure in mice: construction and application of a biodosimetric model using mRNA indicators in circulating white blood cells. JOURNAL OF RADIATION RESEARCH 2016; 57:25-34. [PMID: 26589759 PMCID: PMC4708920 DOI: 10.1093/jrr/rrv066] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2015] [Accepted: 09/18/2015] [Indexed: 05/06/2023]
Abstract
Biodosimetry, the measurement of radiation damage in a biologic sample, is a reliable tool for increasing the accuracy of dose estimation. Although established chromosome analyses are suitable for estimating the absorbed dose after high-dose irradiation, biodosimetric methodology to measure damage following low-dose exposure is underdeveloped. RNA analysis of circulating blood containing radiation-sensitive cells is a candidate biodosimetry method. Here we quantified RNA from a small amount of blood isolated from mice following low-dose body irradiation (<0.5 Gy) aimed at developing biodosimetric tools for situations that are difficult to study in humans. By focusing on radiation-sensitive undifferentiated cells in the blood based on Myc RNA expression, we quantified the relative levels of RNA for DNA damage-induced (DDI) genes, such as Bax, Bbc3 and Cdkn1a. The RNA ratios of DDI genes/Myc in the blood increased in a dose-dependent manner 4 h after whole-body irradiation at doses ranging from 0.1 to 0.5 Gy (air-kerma) of X-rays, regardless of whether the mice were in an active or resting state. The RNA ratios were significantly increased after 0.014 Gy (air-kerma) of single X-ray irradiation. The RNA ratios were directly proportional to the absorbed doses in water ranging from 0.1 to 0.5 Gy, based on gamma-irradiation from (137)Cs. Four hours after continuous irradiation with gamma-rays or by internal contamination with a beta-emitter, the increased RNA ratios resembled those following single irradiation. These findings indicate that the RNA status can be utilized as a biodosimetric tool to estimate low-dose radiation when focusing on undifferentiated cells in blood.
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Affiliation(s)
- Hiroshi Ishihara
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Izumi Tanaka
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Haruko Yakumaru
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Mika Tanaka
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Kazuko Yokochi
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Kumiko Fukutsu
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Katsushi Tajima
- Research Center for Radiation Emergency Medicine, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Mayumi Nishimura
- Research Center for Radiation Protection, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Yoshiya Shimada
- Research Center for Radiation Protection, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
| | - Makoto Akashi
- Board, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan
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11
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Chapman JR, Waldenström J. With Reference to Reference Genes: A Systematic Review of Endogenous Controls in Gene Expression Studies. PLoS One 2015; 10:e0141853. [PMID: 26555275 PMCID: PMC4640531 DOI: 10.1371/journal.pone.0141853] [Citation(s) in RCA: 173] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 10/13/2015] [Indexed: 12/20/2022] Open
Abstract
The choice of reference genes that are stably expressed amongst treatment groups is a crucial step in real-time quantitative PCR gene expression studies. Recent guidelines have specified that a minimum of two validated reference genes should be used for normalisation. However, a quantitative review of the literature showed that the average number of reference genes used across all studies was 1.2. Thus, the vast majority of studies continue to use a single gene, with β-actin (ACTB) and/or glyceraldehyde 3-phosphate dehydrogenase (GAPDH) being commonly selected in studies of vertebrate gene expression. Few studies (15%) tested a panel of potential reference genes for stability of expression before using them to normalise data. Amongst studies specifically testing reference gene stability, few found ACTB or GAPDH to be optimal, whereby these genes were significantly less likely to be chosen when larger panels of potential reference genes were screened. Fewer reference genes were tested for stability in non-model organisms, presumably owing to a dearth of available primers in less well characterised species. Furthermore, the experimental conditions under which real-time quantitative PCR analyses were conducted had a large influence on the choice of reference genes, whereby different studies of rat brain tissue showed different reference genes to be the most stable. These results highlight the importance of validating the choice of normalising reference genes before conducting gene expression studies.
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Affiliation(s)
- Joanne R. Chapman
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
- * E-mail:
| | - Jonas Waldenström
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
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12
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Brzóska K, Kruszewski M. Toward the development of transcriptional biodosimetry for the identification of irradiated individuals and assessment of absorbed radiation dose. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2015; 54:353-63. [PMID: 25972268 PMCID: PMC4510913 DOI: 10.1007/s00411-015-0603-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 04/30/2015] [Indexed: 05/03/2023]
Abstract
The most frequently used and the best established method of biological dosimetry at present is the dicentric chromosome assay, which is poorly suitable for a mass casualties scenario. This gives rise to the need for the development of new, high-throughput assays for rapid identification of the subjects exposed to ionizing radiation. In the present study, we tested the usefulness of gene expression analysis in blood cells for biological dosimetry. Human peripheral blood from three healthy donors was X-irradiated with doses of 0 (control), 0.6, and 2 Gy. The mRNA level of 16 genes (ATF3, BAX, BBC3, BCL2, CDKN1A, DDB2, FDXR, GADD45A, GDF15, MDM2, PLK3, SERPINE1, SESN2, TNFRSF10B, TNFSF4, and VWCE) was assessed by reverse transcription quantitative PCR 6, 12, 24, and 48 h after exposure with ITFG1 and DPM1 used as a reference genes. The panel of radiation-responsive genes was selected comprising GADD45A, CDKN1A, BAX, BBC3, DDB2, TNFSF4, GDF15, and FDXR. Cluster analysis showed that ΔC t values of the selected genes contained sufficient information to allow discrimination between irradiated and non-irradiated blood samples. The samples were clearly grouped according to the absorbed doses of radiation and not to the time interval after irradiation or to the blood donor.
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Affiliation(s)
- Kamil Brzóska
- Centre for Radiobiology and Biological Dosimetry, Institute of Nuclear Chemistry and Technology, Dorodna 16, 03-195, Warsaw, Poland,
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13
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Paul S, Ghandhi SA, Weber W, Doyle-Eisele M, Melo D, Guilmette R, Amundson SA. Gene expression response of mice after a single dose of 137CS as an internal emitter. Radiat Res 2014; 182:380-9. [PMID: 25162453 DOI: 10.1667/rr13466.1] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Cesium-137 is a radionuclide of concern in fallout from reactor accidents or nuclear detonations. When ingested or inhaled, it can expose the entire body for an extended period of time, potentially contributing to serious health consequences ranging from acute radiation syndrome to increased cancer risks. To identify changes in gene expression that may be informative for detecting such exposure, and to begin examining the molecular responses involved, we have profiled global gene expression in blood of male C57BL/6 mice injected with 137CsCl. We extracted RNA from the blood of control or 137CsCl-injected mice at 2, 3, 5, 20 or 30 days after exposure. Gene expression was measured using Agilent Whole Mouse Genome Microarrays, and the data was analyzed using BRB-ArrayTools. Between 466-6,213 genes were differentially expressed, depending on the time after 137Cs administration. At early times (2-3 days), the majority of responsive genes were expressed above control levels, while at later times (20-30 days) most responding genes were expressed below control levels. Numerous genes were overexpressed by day 2 or 3, and then underexpressed by day 20 or 30, including many Tp53-regulated genes. The same pattern was seen among significantly enriched gene ontology categories, including those related to nucleotide binding, protein localization and modification, actin and the cytoskeleton, and in the integrin signaling canonical pathway. We compared the expression of several genes three days after 137CsCl injection and three days after an acute external gamma-ray exposure, and found that the internal exposure appeared to produce a more sustained response. Many common radiation-responsive genes are altered by internally administered 137Cs, but the gene expression pattern resulting from continued irradiation at a decreasing dose rate is extremely complex, and appears to involve a late reversal of much of the initial response.
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Affiliation(s)
- Sunirmal Paul
- a Center for Radiological Research, Columbia University Medical Center, New York, New York 10032
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Budworth H, Snijders AM, Marchetti F, Mannion B, Bhatnagar S, Kwoh E, Tan Y, Wang SX, Blakely WF, Coleman M, Peterson L, Wyrobek AJ. DNA repair and cell cycle biomarkers of radiation exposure and inflammation stress in human blood. PLoS One 2012; 7:e48619. [PMID: 23144912 PMCID: PMC3492462 DOI: 10.1371/journal.pone.0048619] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2012] [Accepted: 09/26/2012] [Indexed: 01/28/2023] Open
Abstract
DNA damage and repair are hallmarks of cellular responses to ionizing radiation. We hypothesized that monitoring the expression of DNA repair-associated genes would enhance the detection of individuals exposed to radiation versus other forms of physiological stress. We employed the human blood ex vivo radiation model to investigate the expression responses of DNA repair genes in repeated blood samples from healthy, non-smoking men and women exposed to 2 Gy of X-rays in the context of inflammation stress mimicked by the bacterial endotoxin lipopolysaccharide (LPS). Radiation exposure significantly modulated the transcript expression of 12 genes of 40 tested (2.2E-06<p<0.03), of which 8 showed no overlap between unirradiated and irradiated samples (CDKN1A, FDXR, BBC3, PCNA, GADD45a, XPC, POLH and DDB2). This panel demonstrated excellent dose response discrimination (0.5 to 8 Gy) in an independent human blood ex vivo dataset, and 100% accuracy for discriminating patients who received total body radiation. Three genes of this panel (CDKN1A, FDXR and BBC3) were also highly sensitive to LPS treatment in the absence of radiation exposure, and LPS co-treatment significantly affected their radiation responses. At the protein level, BAX and pCHK2-thr68 were elevated after radiation exposure, but the pCHK2-thr68 response was significantly decreased in the presence of LPS. Our combined panel yields an estimated 4-group accuracy of ∼90% to discriminate between radiation alone, inflammation alone, or combined exposures. Our findings suggest that DNA repair gene expression may be helpful to identify biodosimeters of exposure to radiation, especially within high-complexity exposure scenarios.
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Affiliation(s)
- Helen Budworth
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Antoine M. Snijders
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Francesco Marchetti
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Brandon Mannion
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Sandhya Bhatnagar
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Ely Kwoh
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Yuande Tan
- Center for Biostatistics, The Methodist Hospital Research Institute, Houston, Texas, United States of America
| | - Shan X. Wang
- Department of Materials Science and Engineering, Department of Electrical Engineering, Stanford University, Stanford, California, United States of America
| | - William F. Blakely
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America
| | - Matthew Coleman
- Radiation Oncology, UC Davis School of Medicine, University of California Davis, Davis, California, United States of America
| | - Leif Peterson
- Center for Biostatistics, The Methodist Hospital Research Institute, Houston, Texas, United States of America
| | - Andrew J. Wyrobek
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- * E-mail:
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