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Cai LH, Chen XY, Qian W, Liu CC, Yuan LJ, Zhang L, Nie C, Liu Z, Li Y, Li T, Liu MH. DDB2 and MDM2 genes are promising markers for radiation diagnosis and estimation of radiation dose independent of trauma and burns. Funct Integr Genomics 2023; 23:294. [PMID: 37688632 DOI: 10.1007/s10142-023-01222-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/11/2023]
Abstract
In the field of biodosimetry, the current accepted method for evaluating radiation dose fails to meet the need of rapid, large-scale screening, and most RNA marker-related studies of biodosimetry are concentrating on a single type of ray, while some other potential factors, such as trauma and burns, have not been covered. Microarray datasets that contain the data of human peripheral blood samples exposed to X-ray, neutron, and γ-ray radiation were obtained from the GEO database. Totally, 33 multi-type ray co-induced genes were obtained at first from the differentially expressed genes (DEGs) and key genes identified by weighted gene co-expression network analysis (WGCNA), and these genes were mainly enriched in DNA damage, cellular apoptosis, and p53 signaling pathway. Following transcriptome sequencing of blood samples from 11 healthy volunteers, 13 patients with severe burns, and 37 patients with severe trauma, 6635 trauma-related DEGs and 7703 burn-related DEGs were obtained. Through the exclusion method, a total of 12 radiation-specific genes independent of trauma and burns were identified. ROC curve analysis revealed that the DDB2 gene performed the best in diagnosis of all three types of ray radiation, while correlation analysis showed that the MDM2 gene was the best in assessment of radiation dose. The results of multiple-linear regression analysis indicated that such analysis could improve the accuracy in assessment of radiation dose. Moreover, the DDB2 and MDM2 genes remained effective in radiation diagnosis and assessment of radiation dose in an external dataset. In general, the study brings new insights into radiation biodosimetry.
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Affiliation(s)
- Ling-Hu Cai
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Xiang-Yu Chen
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Wei Qian
- Institute of Burn Research, Southwest Hospital, State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400038, People's Republic of China
| | - Chuan-Chuan Liu
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Li-Jia Yuan
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Liang Zhang
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Chao Nie
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Zhen Liu
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Yue Li
- Institute of Burn Research, Southwest Hospital, State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400038, People's Republic of China
| | - Tian Li
- School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Ming-Hua Liu
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China.
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Rudqvist N, Spetz J, Schüler E, Langen B, Parris TZ, Helou K, Forssell-Aronsson E. Gene expression signature in mouse thyroid tissue after (131)I and (211)At exposure. EJNMMI Res 2015; 5:59. [PMID: 26492889 PMCID: PMC4615992 DOI: 10.1186/s13550-015-0137-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 10/09/2015] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND (131)I and (211)At are used in nuclear medicine and accumulate in the thyroid gland and may impact normal thyroid function. The aim of this study was to determine transcriptional profile variations, assess the impact on cellular activity, and identify genes with biomarker properties in thyroid tissue after (131)I and (211)At administration in mice. METHODS To further investigate thyroid tissue transcriptional responses to (131)I and (211)At administration, we generated a new transcriptional dataset that includes re-evaluated raw intensity values from our previous (131)I and (211)At studies. Differential transcriptional profiles were identified by comparing treated and mock-treated samples using Nexus Expression 3.0 software. Further data analysis was performed using R/Bioconductor and IPA. RESULTS A total of 1144 genes were regulated. Hierarchical clustering subdivided the groups into two clusters containing the lowest and highest absorbed dose levels, respectively, and revealed similar transcriptional regulation patterns for many kallikrein-related genes. Twenty-seven of the 1144 genes were recurrently regulated after (131)I and (211)At exposure and divided into six clusters. Several signalling pathways were affected, including calcium, integrin-linked kinase, and thyroid cancer signalling, and the peroxisomal proliferator-activated receptor network. CONCLUSIONS Substantial changes in transcriptional regulation were shown in (131)I and (211)At-treated samples, and 27 genes were identified as potential biomarkers for (131)I and (211)At exposure. Clustering revealed distinct differences between transcriptional profiles of both similar and different exposures, demonstrating the necessity for better understanding of radiation-induced effects on cellular activity. Additionally, ionizing radiation-induced changes in kallikrein gene expression and identified canonical pathways should be further assessed.
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Affiliation(s)
- Nils Rudqvist
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden.
| | - Johan Spetz
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Emil Schüler
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Britta Langen
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Toshima Z Parris
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Khalil Helou
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Eva Forssell-Aronsson
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
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