Metabolomics Research Facility, Division of Behavioral Neuroscience, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India.
Department of Biomedical Science, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India.
Metabolomics. 2020 Nov 27;16(12):124. doi: 10.1007/s11306-020-01742-7.
A large scale population exposure to ionizing radiation during intentional or unintentional nuclear accidents undoubtedly generates a complex scenario with partial-body as well as total-body irradiated victims. A high throughput technique based rapid assessment method is an urgent necessity for stratification of exposed subjects independent of whether exposure is uniform total-body or non-homogenous partial-body.
Here, we used Nuclear Magnetic Resonance (NMR) based metabolomics approach to compare and identify candidate metabolites differentially expressed in total and partially irradiated mice model.
C57BL/6 male mice (8-10 weeks) were irradiated total-body or locally to thoracic, hind limb or abdominal regions with 10 Gy of gamma radiation. Urine samples collected at 24 h post irradiation were examined using high resolution NMR spectroscopy and the datasets were analysed using multivariate analysis.
Multivariate and metabolic pathway analysis in urine samples collected at 24 h post-radiation exhibited segregation of all irradiated groups from controls. Metabolites associated with energy metabolism, gut flora metabolism and taurine were common to partial and total-body irradiation, thus making them potential candidates for radiation exposure. Nevertheless, a distinct metabolic pattern was observed in partial-body exposed groups with maximum changes observed in the hind limb region indicating differential tissue associated radiation sensitivity. The organ-specific changes may provide an early warning regarding the physiological system at risk after radiation injury.
The study affirms potentiality of metabolite markers and comparative analysis could be an important piece of information for an integrated solution to a complex research question in terms of radiation biomarkers.
在有意或无意的核事故中,大量人群暴露于电离辐射下,无疑会产生一个局部和全身受照受害者并存的复杂情况。一种高通量、基于快速评估的方法是对受照人群进行分层的迫切需要,而无需考虑照射是否为全身均匀或非均匀局部。
本文使用基于核磁共振(NMR)的代谢组学方法,比较和鉴定全身和局部照射小鼠模型中差异表达的候选代谢物。
C57BL/6 雄性小鼠(8-10 周龄)全身或局部照射胸、后肢或腹部 10Gy 伽马射线。照射后 24 小时收集尿液样本,采用高分辨 NMR 光谱进行检测,使用多元分析对数据集进行分析。
全身和局部照射后 24 小时收集的尿液样本的多变量和代谢途径分析显示,所有照射组与对照组分离。与能量代谢、肠道菌群代谢和牛磺酸相关的代谢物是全身和局部照射的共同标志物,因此成为辐射暴露的潜在候选物。然而,在局部照射组中观察到明显的代谢模式,后肢区域的变化最大,表明组织对辐射的敏感性存在差异。器官特异性变化可能为辐射损伤后受影响的生理系统提供早期预警。
该研究证实了代谢物标志物的潜力,比较分析可能是辐射生物标志物这一复杂研究问题综合解决方案的重要信息。