Discovering the Radiation Biomarkers in the Plasma of Total-Body Irradiated Leukemia Patients

蛋白质组 血液蛋白质类 电离辐射 人口 化学 蛋白质组学 串联质谱法 全身照射 串联质量标签 代谢组 质谱法 辐照 代谢组学 医学 生物化学 定量蛋白质组学 内科学 色谱法 基因 物理 环境卫生 核物理学 化疗 环磷酰胺
作者
Rydlova Gabriela,Vozandychova Vera,Pavel Řehulka,Helena Řehulková,Sirak Igor,Davidkova Marie,Markova Marketa,Myslivcova-Fucikova Alena,Tichy Ales
出处
期刊:Radiation Research [BioOne (Radiation Research Society)]
卷期号:201 (5)
标识
DOI:10.1667/rade-23-00137.1
摘要

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.

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