Expression of IFNg and TGFb1 genes can distinguish radiation workers from the normal population

R. Fardid, M. Toossi, Abdolrahim Rezaee, Ariane Sadr Nabavi, H. Rafatpanah
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引用次数: 3

Abstract

Ionising radiation can cause different forms of DNA damage in living cells. Changes in biomarkers due to exposure to ionising radiation can be an appropriate tool for the immediate recognition of individuals exposed to radiation after a radiological accident or nuclear disaster. QPCR technique, as an approved method, was used for analysing the expression levels of sensitive genes following radiation exposure. Gene expression studies were performed on a group of 36 radiation workers and 36 matched–normal people without a history of radiation exposure. Mean gene expression values for control and irradiated groups were compared. There was significant difference between the mean gene expression of IFNg (p < 0.05), also significant difference was observed between the gene expression of TGFb1 (p < 0.05) in normal and irradiated groups. The logistic regression model is able to correctly identify 72.2% of irradiated samples (sensitivity) and 80.6% of normal samples (specificity).
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IFNg和TGFb1基因的表达可以将放射工作者与正常人群区分开来
电离辐射会对活细胞造成不同形式的DNA损伤。由于暴露于电离辐射而引起的生物标志物的变化可以作为一种适当的工具,用于在放射性事故或核灾难后立即识别暴露于辐射的个体。QPCR技术作为一种被批准的方法,用于分析辐射暴露后敏感基因的表达水平。基因表达研究是在36名辐射工作人员和36名没有辐射暴露史的正常人身上进行的。对照组和辐照组的平均基因表达值比较。正常组与辐照组IFNg基因平均表达量差异有统计学意义(p < 0.05), TGFb1基因表达量差异有统计学意义(p < 0.05)。logistic回归模型能够正确识别72.2%的辐照样品(灵敏度)和80.6%的正常样品(特异性)。
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来源期刊
International Journal of Low Radiation
International Journal of Low Radiation Environmental Science-Health, Toxicology and Mutagenesis
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期刊介绍: The IJLR is a peer-reviewed journal dedicated to the publication of research articles, review papers and technical notes in all domains related to low-dose radiation, among which are the biological and health effects in humans and the biota, in vitro and in vivo research on low radiation effects, regulatory and policy aspects, risk estimation and public perception.
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