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DDB2 and MDM2 genes are promising markers for radiation diagnosis and estimation of radiation dose independent of trauma and burns

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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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Data available on request from the authors.

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Acknowledgements

We are grateful for the support of all the healthy volunteers and clinical patients included in the study, and we thank Sangon Biotech (Shanghai, China) for the assistance in transcriptome sequencing.

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Author notes

  1. Ling-Hu Cai, Xiang-Yu Chen, and Wei Qian have equal contribution.

Authors and Affiliations

  1. Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People’s Republic of China

    Ling-Hu Cai, Xiang-Yu Chen, Chuan-Chuan Liu, Li-Jia Yuan, Liang Zhang, Chao Nie, Zhen Liu & Ming-Hua Liu

  2. 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

    Wei Qian & Yue Li

  3. School of Basic Medicine, Fourth Military Medical University, Xi’an, 710032, China

    Tian Li

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  1. Ling-Hu Cai
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Contributions

Ling-Hu Cai, Xiang-Yu Chen, and Wei Qian were mainly responsible for research implementation and bioinformatics analysis and wrote the manuscript. Chuan-Chuan Liu and Li-Jia Yuan contributed to the collection of peripheral blood samples of patients with severe trauma and healthy volunteers. Yue Li contributed to the collection of peripheral blood samples of patients with severe burns. Liang Zhang, Chao Nie, and Zhen Liu provided assistance for statistical analysis. Tian Li is responsible for article revision and supervision. Ming-Hua Liu was responsible for research management and coordination and critically reviewed the manuscript.

Corresponding author

Correspondence to Ming-Hua Liu.

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Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the First Affiliated Hospital of Army Medical University, PLA (Ethics approval number: (A) KY2021082, approval date: November 8, 2021). Written informed consent for the use of medical and transcriptome data for publication was obtained from all participants.

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The authors declare no competing interests.

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Cai, LH., Chen, XY., Qian, W. et al. DDB2 and MDM2 genes are promising markers for radiation diagnosis and estimation of radiation dose independent of trauma and burns. Funct Integr Genomics 23, 294 (2023). https://doi.org/10.1007/s10142-023-01222-w

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  • DOI: https://doi.org/10.1007/s10142-023-01222-w

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