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一种基于 γ-H2AX 检测的具有不确定性量化的辐射剂量估计的统计框架。

A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay.

机构信息

Department of Mathematical Sciences, Durham University, Durham, United Kingdom.

Public Health England, Chemical and Environmental Hazards, Chilton, Didcot, United Kingdom.

出版信息

PLoS One. 2018 Nov 28;13(11):e0207464. doi: 10.1371/journal.pone.0207464. eCollection 2018.

Abstract

Over the last decade, the γ-H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double-strand-breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure to ionizing radiation. While the existing literature has convincingly demonstrated a dose-response effect, and also presented approaches to dose estimation based on appropriately defined calibration curves, a more widespread practical use is still hampered by a certain lack of discussion and agreement on the specific dose-response modelling and uncertainty quantification strategies, as well as by the unavailability of implementations. This manuscript intends to fill these gaps, by stating explicitly the statistical models and techniques required for calibration curve estimation and subsequent dose estimation. Accompanying this article, a web applet has been produced which implements the discussed methods.

摘要

在过去的十年中,γ-H2AX 焦点分析方法利用 DNA 双链断裂后组蛋白 H2AX 的磷酸化,在被接受为可靠的电离辐射暴露生物标志物方面取得了相当大的进展。虽然现有文献已经令人信服地证明了剂量反应效应,并提出了基于适当定义的校准曲线进行剂量估计的方法,但由于对特定剂量反应建模和不确定性量化策略的讨论和共识不足,以及缺乏实现,更广泛的实际应用仍然受到阻碍。本文旨在通过明确说明校准曲线估计和随后的剂量估计所需的统计模型和技术来填补这些空白。本文还附带了一个网络小程序,它实现了所讨论的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8b/6261578/ed3170b87c76/pone.0207464.g001.jpg

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