辐射敏感基因检测作为生物剂量计研究动态

Abstract

Abstract: Using visual bibliometric analysis software CiteSpace (6.2.R4) and VOSviewer (version 1.6.19), the application and development of radiation sensitive gene detection in biodosimetry are summarized. Articles and reviews related to this field published between 2000 and 2023 were selected from Web of Science Core Collection and CNKI to analyze authors, institutions, journals, references and keywords in this field. The results of WOS database showed that from 2000 to 2023, the total of papers on radiation sensitive gene detection as a biodosimetry increased from 3 to 297. The United States topped the list in this field and China ranked the seventh. Radiation Research, International Journal of Radiation Biology, Scientific Reports, Health Physics were the most important journals in this field also had high co-citation frequency. Keyword cluster analysis showed that research focused on the damage-repair of DNA, apoptosis, p53 signaling pathway, in vivo-in vitro tests, and biodosimetry model systems. The co-cited references analysis showed that the application of FDXR gene detection as a biodosimetry have become the hotspot of this field. The CNKI database analysis showed that the dose-response relationship of genes (MDM2, GADD45, XPC, FDXR, HPRT) were main direction of studying in this field in China. At the same time, it is suggested that gene cluster examination is the future research direction of gene detection as biodosimetry.

Key words: radiation sensitive gene, biodosimetry, bibliometric

CLC Number:

Q691

CHEN Yuting, YANG Xueqin, WANG Gefei. Research trends of radiation sensitive gene detection used in biodosimetry[J].RADIATION PROTECTION BULLETIN, 2024, 44(4): 21-31.

References

[1] 全国科学技术名词审定委员会. 放射医学与防护名词[M].北京:科学出版社,2014.
[2] Coleman C N, Koerner J F. Biodosimetry: Medicine, science, and systems to support the medical decision-maker following a large scale nuclear or radiation incident[J]. Radiation Protection Dosimetry, 2016, 172(1/3): 38-46.
[3] Ko S, Chung H H, Cho S B, et al. Occupational radiation exposure and its health effects on interventional medical workers: Study protocol for a prospective cohort study[J]. BMJ Open, 2017, 7(12): e018333.
[4] Hoffmann W, Schmitz-Feuerhake I. How radiation-specific is the dicentric assay?[J]. Journal of Exposure Science & Environmental Epidemiology, 1999, 9(2): 113-133.
[5] Ghandhi S A, Shuryak I, Morton S R, et al. New approaches for quantitative reconstruction of radiation dose in human blood cells[J]. Scientific Reports, 2019, 9(1): 18441.
[6] Vinnikov V A, Belyakov O. Radiation exposure biomarkers in the practice of medical radiology: cooperative research and the role of the International Atomic Energy Agency (IAEA) biodosimetry/radiobiology laboratory[J]. Health Physics, 2020, 119(1): 83-94.
[7] Amundson S A. Transcriptomics for radiation biodosimetry: progress and challenges[J]. International Journal of Radiation Biology, 2023, 99(6): 925-933.
[8] Synnestvedt M B, Chen C, Holmes J H. CiteSpace II: Visualization and knowledge discovery in bibliographic databases[J]. AMIA Annual Symposium Proceedings, 2005, 2005: 724-728.
[9] van Eck N J, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2): 523-538.
[10] 潘玮, 郑鹏, 黄锦泉, 等. 基于数据清洗“DEAN”流程的健康信息领域研究热点探测[J]. 现代情报, 2018, 38(10): 73-77.
[11] Ainsbury E A, Bakhanova E, Barquinero J F, et al. Review of retrospective dosimetry techniques for external ionising radiation exposures[J]. Radiation Protection Dosimetry, 2011, 147(4): 573-592.
[12] Cruz-Garcia L, O′Brien G, Sipos B, et al. in vivo validation of alternative FDXR transcripts in human blood in response to ionizing radiation[J]. International Journal of Molecular Sciences, 2020, 21(21): 7851.
[13] Port M, Majewski M, Herodin F, et al. Validating baboon ex vivo and in vivo Radiation-related gene expression with corresponding human data[J]. Radiation Research, 2018, 189(4): 389-398.
[14] O′Brien G, Cruz-Garcia L, Majewski M, et al. FDXR is a biomarker of radiation exposure in vivo[J]. Scientific Reports, 2018, 8(1): 684.
[15] Amundson S A, Do K T, Fornace A J Jr. Induction of stress genes by low doses of gamma rays[J]. Radiation Research, 1999, 152(3): 225-231.
[16] Amundson S A, Bittner M, Chen Y, et al. Fluorescent cDNA microarray hybridization reveals complexity and heterogeneity of cellular genotoxic stress responses[J]. Oncogene, 1999, 18(24): 3666-3672.
[17] Amundson S A, Do K T, Vinikoor L C, et al. Integrating global gene expression and radiation survival parameters across the 60 cell lines of the National Cancer Institute anticancer drug screen[J]. Cancer Research, 2008, 68(2): 415-424.
[18] Amundson S A, Grace M B, McLeland C B, et al. Human in vivo radiation-induced biomarkers: Gene expression changes in radiotherapy patients[J]. Cancer Research, 2004, 64(18): 6368-6371.
[19] 王成, 龙爽, 郝玉徽, 等. 美军武装部队放射生物学研究所的教育训练模式及其启示[J]. 华南国防医学杂志, 2019, 33(10): 717-719.

Research trends of radiation sensitive gene detection used in biodosimetry

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