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

IF 2.5 3区 医学 Q2 BIOLOGY Radiation research Pub Date : 2024-05-01 DOI:10.1667/RADE-23-00137.1
Rydlova Gabriela, Vozandychova Vera, Rehulka Pavel, Rehulkova Helena, Sirak Igor, Davidkova Marie, Markova Marketa, Myslivcova-Fucikova Alena, Tichy Ales
{"title":"Discovering the Radiation Biomarkers in the Plasma of Total-Body Irradiated Leukemia Patients.","authors":"Rydlova Gabriela, Vozandychova Vera, Rehulka Pavel, Rehulkova Helena, Sirak Igor, Davidkova Marie, Markova Marketa, Myslivcova-Fucikova Alena, Tichy Ales","doi":"10.1667/RADE-23-00137.1","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":20903,"journal":{"name":"Radiation research","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1667/RADE-23-00137.1","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
发现全身辐照白血病患者血浆中的辐射生物标志物
全球人口受到急性大规模辐射照射的风险不断增加,这凸显了对最佳辐射生物标志物的需求。电离辐射会引发基因组、蛋白质组和代谢组的复杂反应,据报道,所有这些都是辐射诱导体内损伤的合适指标。本研究通过质谱法(MS)分析了全身辐照(TBI)白血病患者的外周血样本,以鉴定和量化辐照前后血浆中不同调控蛋白。简言之,16 名白血病患者在接受 TBI(2 × 2.0 Gy)照射前和照射后 24 小时内的血样,经串联质谱标记等位试剂盒(TMTpro-16-plex)处理后进行质谱分析。同时,使用 Q-Exactive 质谱仪中的 RP-nanoLC-ESI-MS/MS 系统进行无标记相对定量。蛋白质鉴定在 Proteome Discoverer v.2.2 平台(Thermo)上完成。数据可通过 ProteomeXchange 获取,标识符为 PXD043516。使用两种不同的方法,我们获得了辐照 24 小时后上调(比值≥ 1.2)或下调(比值≤ 0.83)质粒蛋白的两个数据集,在 TMT-16plex 分析中分别鉴定出 356 和 346 个蛋白,在无标记分析中分别鉴定出 285 和 308 个蛋白(P ≤ 0.05)。将两个数据集合并后,发现有 15 个候选蛋白与伽马辐照有显著关系。这些蛋白质大多与炎症反应和脂质代谢有关。随后,在这些蛋白质中,有五种蛋白质(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)最有可能成为人类的辐射生物标志物。这些候选生物标志物可能会对实际的生物剂量测定产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Radiation research
Radiation research 医学-核医学
CiteScore
5.10
自引率
8.80%
发文量
179
审稿时长
1 months
期刊介绍: Radiation Research publishes original articles dealing with radiation effects and related subjects in the areas of physics, chemistry, biology and medicine, including epidemiology and translational research. The term radiation is used in its broadest sense and includes specifically ionizing radiation and ultraviolet, visible and infrared light as well as microwaves, ultrasound and heat. Effects may be physical, chemical or biological. Related subjects include (but are not limited to) dosimetry methods and instrumentation, isotope techniques and studies with chemical agents contributing to the understanding of radiation effects.
期刊最新文献
Long-term Radiation Signal Persistence in Urine and Blood: A Two-year Analysis in Non-human Primates Exposed to a 4 Gy Total-Body Gamma-Radiation Dose. Additive Effects of Cu-ATSM and Radiation on Survival of Diffuse Intrinsic Pontine Glioma Cells. Harnessing Senescence for Antitumor Immunity to Advance Cancer Treatment. 56Fe-ion Exposure Increases the Incidence of Lung and Brain Tumors at a Similar Rate in Male and Female Mice. A Comparative Study on Radiosensitivity of Canine Osteosarcoma Cell Lines Subjected to Spatially Fractionated Radiotherapy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1