• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

高通量生物剂量测定试验在核事故后治疗优先级中的作用。

Role of a high throughput biodosimetry test in treatment prioritization after a nuclear incident.

机构信息

DxTerity Diagnostics, Los Angeles, CA, USA.

ClinReg Consulting Services, Inc, Laguna Beach, CA, USA.

出版信息

Int J Radiat Biol. 2020 Jan;96(1):57-66. doi: 10.1080/09553002.2018.1532615. Epub 2018 Dec 3.

DOI:10.1080/09553002.2018.1532615
PMID:30507310
Abstract

PURPOSE

We introduce and evaluate a high throughput biodosimetry test system (REDI-Dx) suitable for testing of thousands of potential radiation victims following a mass scale nuclear event caused by detonation of a nuclear device or a nuclear accident, as part of an overall strategy for effective medical management of the crisis.

MATERIALS AND METHODS

The performance of a high throughput biodosimetry test was evaluated by collecting samples of both non-irradiated presumed healthy donors as well as irradiated subjects collected as part of either cancer treatment regimens or banked from previous studies. The test measures the gene expression of a set of radiation responsive genes based on the DxDirect genomic platform. The potential diagnostic accuracy of REDI-Dx was evaluated as a predictor of actual dose of radiation. While the REDI-Dx test has been calibrated to provide a quantitative measure of actual absorbed dose, we compared the performance of the REDI-Dx test (sensitivity and specificity) as a qualitative result at the most commonly applied thresholds 2.0 Gy and 6.0 Gy.

RESULTS

The test demonstrated high specificity and lack of effect of medical conditions. Using receiver operating characteristic (ROC) curve analysis, REDI-Dx was shown to be a good predictor of actual dose for determining treatment category based on either 2.0 or 6.0 Gy, with a 98.5% sensitivity and 90% specificity for 2.0 Gy, and 92% sensitivity and 84% specificity for 6.0 Gy. Results were reproducible between clinical laboratories with an SD of 0.2 Gy for samples ≤2.0 Gy and a CV of 10.3% for samples from 2.0 to 10.0 Gy.

CONCLUSIONS

Use of a biodosimetry test, like REDI-Dx test system would provide valuable information that would improve the ability to assign patients to the correct treatment category when combined with currently available biodosimetry tools, as compared to the use of existing tools alone. The REDI-Dx biodosimetry test system is for investigational use only in the U.S.A. The performance characteristics of this product have not been established.

摘要

目的

我们引入并评估了一种高通量生物剂量测定测试系统(REDI-Dx),该系统适用于在核装置爆炸或核事故引起的大规模核事件后,对数千名潜在的辐射受害者进行测试,作为有效医疗管理危机的整体策略的一部分。

材料和方法

通过收集未经辐照的假定健康供体的样本以及作为癌症治疗方案的一部分或从以前的研究中收集的辐照对象的样本,评估高通量生物剂量测定测试的性能。该测试基于 DxDirect 基因组平台测量一组辐射反应基因的基因表达。REDI-Dx 的潜在诊断准确性被评估为实际辐射剂量的预测因子。虽然 REDI-Dx 测试已校准为提供实际吸收剂量的定量测量,但我们比较了 REDI-Dx 测试(灵敏度和特异性)作为最常应用的 2.0Gy 和 6.0Gy 阈值的定性结果的性能。

结果

该测试表现出高特异性和不受医疗条件影响。使用接收器操作特性(ROC)曲线分析,REDI-Dx 被证明是一种很好的实际剂量预测因子,可根据 2.0 或 6.0Gy 确定治疗类别,2.0Gy 时灵敏度为 98.5%,特异性为 90%,6.0Gy 时灵敏度为 92%,特异性为 84%。在临床实验室之间,结果具有可重复性,对于≤2.0Gy 的样本,SD 为 0.2Gy,对于 2.0 至 10.0Gy 的样本,CV 为 10.3%。

结论

与单独使用现有工具相比,使用生物剂量测定测试(如 REDI-Dx 测试系统)将提供有价值的信息,这将提高在与当前可用的生物剂量测定工具结合使用时将患者分配到正确治疗类别的能力。REDI-Dx 生物剂量测定测试系统仅供美国研究使用。该产品的性能特征尚未确定。

相似文献

1
Role of a high throughput biodosimetry test in treatment prioritization after a nuclear incident.高通量生物剂量测定试验在核事故后治疗优先级中的作用。
Int J Radiat Biol. 2020 Jan;96(1):57-66. doi: 10.1080/09553002.2018.1532615. Epub 2018 Dec 3.
2
Making the Case for Absorbed Radiation Response Biodosimetry - Utility of a High-Throughput Biodosimetry System.为吸收辐射响应生物剂量测定辩护 - 高通量生物剂量测定系统的效用。
Radiat Res. 2021 Nov 1;196(5):535-546. doi: 10.1667/RADE-20-00029.1.
3
Developing Gender-Specific Gene Expression Biodosimetry Using a Panel of Radiation-Responsive Genes for Determining Radiation Dose in Human Peripheral Blood.利用一组辐射反应基因开发性别特异性基因表达生物剂量学,以确定人外周血中的辐射剂量。
Radiat Res. 2019 Aug;192(4):399-409. doi: 10.1667/RR15355.1. Epub 2019 Aug 2.
4
CytoRADx: A High-Throughput, Standardized Biodosimetry Diagnostic System Based on the Cytokinesis-Block Micronucleus Assay.CytoRADx:一种基于胞质分裂阻滞微核分析的高通量、标准化的生物剂量诊断系统。
Radiat Res. 2021 Nov 1;196(5):523-534. doi: 10.1667/RADE-20-00030.1.
5
Examining Radiation-Induced In Vivo and In Vitro Gene Expression Changes of the Peripheral Blood in Different Laboratories for Biodosimetry Purposes: First RENEB Gene Expression Study.为生物剂量测定目的,在不同实验室检测辐射诱导的外周血体内和体外基因表达变化:首次RENE基因表达研究
Radiat Res. 2016 Feb;185(2):109-23. doi: 10.1667/RR14221.1. Epub 2016 Feb 1.
6
Comparison of established and emerging biodosimetry assays.已建立和新兴的生物剂量测定法的比较。
Radiat Res. 2013 Aug;180(2):111-9. doi: 10.1667/RR3231.1. Epub 2013 Jul 17.
7
Calibration curve for radiation dose estimation using FDXR gene expression biodosimetry - premises and pitfalls.使用 FDXR 基因表达生物剂量测定法估算辐射剂量的校准曲线——前提和陷阱。
Int J Radiat Biol. 2024;100(8):1202-1212. doi: 10.1080/09553002.2024.2373751. Epub 2024 Jul 2.
8
Role of dicentric analysis in an overarching biodosimetry strategy for use following a nuclear detonation in an urban environment.在城市环境中发生核爆炸后,整体生物剂量测定策略中双着丝粒分析的作用。
Health Phys. 2014 Apr;106(4):516-22. doi: 10.1097/HP.0b013e3182a5f94f.
9
Validating high-throughput micronucleus analysis of peripheral reticulocytes for radiation biodosimetry: benchmark against dicentric and CBMN assays in a mouse model.验证外周网织红细胞高通量微核分析在辐射生物剂量学中的应用:以小鼠模型中双着丝粒和 CBMN 分析为基准。
Health Phys. 2010 Feb;98(2):218-27. doi: 10.1097/HP.0b013e3181abaae5.
10
Using biodosimetry to enhance the public health response to a nuclear incident.利用生物剂量学增强对核事故的公共卫生应对。
Int J Radiat Biol. 2021;97(sup1):S6-S9. doi: 10.1080/09553002.2020.1820605. Epub 2020 Sep 21.

引用本文的文献

1
Single-Cell Sequencing: An Emerging Tool for Biomarker Development in Nuclear Emergencies and Radiation Oncology.单细胞测序:核突发事件与放射肿瘤学中生物标志物开发的新兴工具。
Cancers (Basel). 2025 May 28;17(11):1801. doi: 10.3390/cancers17111801.
2
Organ-specific Biodosimetry Modeling Using Proteomic Biomarkers of Radiation Exposure.利用辐射暴露的蛋白质组生物标志物进行器官特异性生物剂量测定建模。
Radiat Res. 2024 Oct 1;202(4):697-705. doi: 10.1667/RADE-24-00092.1.
3
BAX and DDB2 as biomarkers for acute radiation exposure in the human blood ex vivo and non-human primate models.
BAX 和 DDB2 作为人类血液离体和非人灵长类模型中急性辐射暴露的生物标志物。
Sci Rep. 2024 Aug 20;14(1):19345. doi: 10.1038/s41598-024-69852-z.
4
Paper-Based Vertical Flow Immunoassay for the Point-of-Care Multiplex Detection of Radiation Dosimetry Genes.基于纸的垂直流动免疫分析用于即时检测辐射剂量学基因的多重检测。
Cytogenet Genome Res. 2023;163(3-4):178-186. doi: 10.1159/000531702. Epub 2023 Jun 27.
5
RENEB Inter-Laboratory Comparison 2021: Inter-Assay Comparison of Eight Dosimetry Assays.RENB 实验室间比对 2021 年:八种剂量测定分析的实验室内比对。
Radiat Res. 2023 Jun 1;199(6):535-555. doi: 10.1667/RADE-22-00207.1.
6
A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays.一种通过组合双着丝粒染色体和微核检测数据来提高辐射生物剂量学准确性的机器学习方法。
Sci Rep. 2022 Dec 6;12(1):21077. doi: 10.1038/s41598-022-25453-2.
7
Nuclear and Radiological Emergencies: Biological Effects, Countermeasures and Biodosimetry.核与放射紧急情况:生物效应、应对措施及生物剂量测定
Antioxidants (Basel). 2022 May 31;11(6):1098. doi: 10.3390/antiox11061098.
8
Transcriptomics of Wet Skin Biopsies Predict Early Radiation-Induced Hematological Damage in a Mouse Model.湿性皮肤活检转录组学预测小鼠模型中早期辐射诱导的血液学损伤。
Genes (Basel). 2022 Mar 18;13(3):538. doi: 10.3390/genes13030538.
9
Gene expression for biodosimetry and effect prediction purposes: promises, pitfalls and future directions - key session ConRad 2021.为生物剂量测定和效应预测目的的基因表达:承诺、陷阱和未来方向——ConRad 2021 重点会议。
Int J Radiat Biol. 2022;98(5):843-854. doi: 10.1080/09553002.2021.1987571. Epub 2021 Oct 18.
10
Novel Murine Biomarkers of Radiation Exposure Using An Aptamer-Based Proteomic Technology.使用基于适配体的蛋白质组学技术的新型辐射暴露小鼠生物标志物
Front Pharmacol. 2021 Apr 26;12:633131. doi: 10.3389/fphar.2021.633131. eCollection 2021.