Department of Radiobiology.
Department of Biology, Faculty of Natural Sciences, University of Hradec Králové, Czech Republic, Hradec Králové, Czech Republic.
Radiat Res. 2024 May 1;201(5):418-428. doi: 10.1667/RADE-23-00137.1.
The increased risk of acute large-scale radiological exposure for the world's population underlines the need for optimal radiation biomarkers. Ionizing radiation triggers a complex response by the genome, proteome, and metabolome, all of which have been reported as suitable indicators of radiation-induced damage in vivo. This study analyzed peripheral blood samples from total-body irradiation (TBI) leukemia patients through mass spectrometry (MS) to identify and quantify differentially regulated proteins in plasma before and after irradiation. In brief, samples were taken from 16 leukemic patients prior to and 24 h after TBI (2 × 2.0 Gy), processed with Tandem Mass Tag isobaric labelling kit (TMTpro-16-plex), and analyzed by MS. In parallel, label-free relative quantification was performed with a RP-nanoLC-ESI-MS/MS system in a Q-Exactive mass spectrometer. Protein identification was done in Proteome Discoverer v.2.2 platform (Thermo). Data is available via ProteomeXchange with identifier PXD043516. Using two different methods, we acquired two datasets of up-regulated (ratio ≥ 1.2) or down-regulated (ratio ≤ 0.83) plasmatic proteins 24 h after irradiation, identifying 356 and 346 proteins in the TMT-16plex and 285 and 308 label-free analyses, respectively (P ≤ 0.05). Combining the two datasets yielded 15 candidates with significant relation to gamma-radiation exposure. The majority of these proteins were associated with the inflammatory response and lipid metabolism. Subsequently, from these, five proteins showed the strongest potential as radiation biomarkers in humans (C-reactive protein, Alpha amylase 1A, Mannose-binding protein C, Phospholipid transfer protein, and Complement C5). These candidate biomarkers might have implications for practical biological dosimetry.
全球人口因急性大规模放射性暴露而面临的风险增加,突显了优化辐射生物标志物的必要性。电离辐射会引发基因组、蛋白质组和代谢组的复杂反应,所有这些都已被报道为体内辐射诱导损伤的合适指标。本研究通过质谱(MS)分析全身照射(TBI)白血病患者的外周血样本,以鉴定和量化照射前后血浆中差异调节的蛋白质。简而言之,从 16 例白血病患者在 TBI(2×2.0Gy)之前和之后 24 小时采集样本,用串联质量标签等压标记试剂盒(TMTpro-16-plex)处理,并通过 MS 进行分析。同时,在 Q-Exactive 质谱仪的 RP-nanoLC-ESI-MS/MS 系统中进行无标签相对定量。蛋白质鉴定在 Proteome Discoverer v.2.2 平台(Thermo)上进行。数据可通过 ProteomeXchange 获得,标识符为 PXD043516。使用两种不同的方法,我们获得了照射后 24 小时上调(比值≥1.2)或下调(比值≤0.83)的血浆蛋白质的两个数据集,在 TMT-16plex 和无标签分析中分别鉴定出 356 种和 346 种蛋白质(P≤0.05)。将两个数据集结合起来,得到了 15 种与伽马辐射暴露有显著关系的候选物。这些蛋白质大多数与炎症反应和脂质代谢有关。随后,从这些候选物中,有 5 种蛋白质显示出作为人类辐射生物标志物的最强潜力(C 反应蛋白、α淀粉酶 1A、甘露糖结合蛋白 C、磷脂转移蛋白和补体 C5)。这些候选生物标志物可能对实际生物剂量学具有重要意义。