Grison Stéphane, Habchi Baninia, Gloaguen Céline, Kereselidze Dimitri, Elie Christelle, Martin Jean-Charles, Souidi Maâmar
Institut de Radioprotection et de Sûreté Nucléaire, PSE-SANTE, 92262 Fontenay-aux-Roses, France.
C2VN, INRAE, INSERM, Aix Marseille University, 13007 Marseille, France.
Metabolites. 2022 May 7;12(5):421. doi: 10.3390/metabo12050421.
Changes in metabolomics over time were studied in rats to identify early biomarkers and highlight the main metabolic pathways that are significantly altered in the period immediately following acute low-dose uranium exposure. A dose response relationship study was established from urine and plasma samples collected periodically over 9 months after the exposure of young adult male rats to uranyl nitrate. LC-MS and biostatistical analysis were used to identify early discriminant metabolites. As expected, low doses of uranium lead to time-based non-toxic biological effects, which can be used to identify early and delayed markers of exposure in both urine and plasma samples. A combination of surrogate markers for uranium exposure was validated from the most discriminant early markers for making effective predictions. N-methyl-nicotinamide, kynurenic acid, serotonin, tryptophan, tryptamine, and indole acetic acid associated with the nicotinate-nicotinamide and tryptophan pathway seem to be one of the main biological targets, as shown previously for chronic contaminations and completed, among others, by betaine metabolism. This study can be considered as a proof of concept for the relevance of metabolomics in the field of low-dose internal contamination by uranium, for the development of predictive diagnostic tests usable for radiotoxicological monitoring.
对大鼠体内代谢组学随时间的变化进行了研究,以确定早期生物标志物,并突出急性低剂量铀暴露后立即发生显著改变的主要代谢途径。在年轻成年雄性大鼠暴露于硝酸铀酰后9个月内,定期收集尿液和血浆样本,建立剂量反应关系研究。采用液相色谱-质谱联用(LC-MS)和生物统计学分析来识别早期判别代谢物。正如预期的那样,低剂量的铀会导致基于时间的无毒生物学效应,这可用于识别尿液和血浆样本中暴露的早期和延迟标志物。从最具判别力的早期标志物中验证了一组铀暴露替代标志物,用于进行有效预测。与烟酸-烟酰胺和色氨酸途径相关的N-甲基烟酰胺、犬尿酸、5-羟色胺、色氨酸、色胺和吲哚乙酸似乎是主要的生物学靶点之一,如先前对慢性污染的研究所示,并通过甜菜碱代谢等得到补充。这项研究可被视为代谢组学在低剂量铀内污染领域相关性的概念验证,用于开发可用于放射毒理学监测的预测性诊断测试。