Michalettou Theodora-Dafni, Michalopoulos Ioannis, Costes Sylvain V, Hellweg Christine E, Hada Megumi, Georgakilas Alexandros G
DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, 157 80 Athens, Greece.
Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 115 27 Athens, Greece.
Life (Basel). 2021 Feb 3;11(2):115. doi: 10.3390/life11020115.
The use of high linear energy transfer (LET) ionizing radiation (IR) is progressively being incorporated in radiation therapy due to its precise dose localization and high relative biological effectiveness. At the same time, these benefits of particle radiation become a high risk for astronauts in the case of inevitable cosmic radiation exposure. Nonetheless, DNA Damage Response (DDR) activated via complex DNA damage in healthy tissue, occurring from such types of radiation, may be instrumental in the induction of various chronic and late effects. An approach to elucidating the possible underlying mechanisms is studying alterations in gene expression. To this end, we identified differentially expressed genes (DEGs) in high Z and high energy (HZE) particle-, γ-ray- and X-ray-exposed healthy human tissues, utilizing microarray data available in public repositories. Differential gene expression analysis (DGEA) was conducted using the R programming language. Consequently, four separate meta-analyses were conducted, after DEG lists were grouped depending on radiation type, radiation dose and time of collection post-irradiation. To highlight the biological background of each meta-analysis group, functional enrichment analysis and biological network construction were conducted. For HZE particle exposure at 8-24 h post-irradiation, the most interesting finding is the variety of DNA repair mechanisms that were downregulated, a fact that is probably correlated with complex DNA damage formation. Simultaneously, after X-ray exposure during the same hours after irradiation, DNA repair mechanisms continue to take place. Finally, in a further comparison of low- and high-LET radiation effects, the most prominent result is that autophagy mechanisms seem to persist and that adaptive immune induction seems to be present. Such bioinformatics approaches may aid in obtaining an overview of the cellular response to high-LET particles. Understanding these response mechanisms can consequently aid in the development of countermeasures for future space missions and ameliorate heavy ion treatments.
由于高线性能量传递(LET)电离辐射(IR)具有精确的剂量定位和较高的相对生物有效性,其在放射治疗中的应用正逐渐增加。与此同时,在不可避免地受到宇宙辐射照射的情况下,粒子辐射的这些益处对宇航员来说却成为了高风险因素。尽管如此,通过这类辐射在健康组织中引发的复杂DNA损伤所激活的DNA损伤反应(DDR),可能在引发各种慢性和晚期效应中起作用。阐明可能的潜在机制的一种方法是研究基因表达的变化。为此,我们利用公共数据库中可用的微阵列数据,鉴定了暴露于高原子序数和高能量(HZE)粒子、γ射线和X射线的健康人体组织中的差异表达基因(DEG)。使用R编程语言进行差异基因表达分析(DGEA)。因此,在根据辐射类型、辐射剂量和辐照后收集时间对DEG列表进行分组后,进行了四项单独的荟萃分析。为了突出每个荟萃分析组的生物学背景,进行了功能富集分析和生物网络构建。对于辐照后8 - 24小时的HZE粒子暴露,最有趣的发现是多种DNA修复机制被下调,这一事实可能与复杂DNA损伤的形成有关。同时,在辐照后相同时间的X射线暴露后,DNA修复机制仍在继续。最后,在对低LET和高LET辐射效应的进一步比较中,最突出的结果是自噬机制似乎持续存在,并且似乎存在适应性免疫诱导。这种生物信息学方法可能有助于全面了解细胞对高LET粒子的反应。因此,了解这些反应机制有助于为未来的太空任务开发对策,并改善重离子治疗。