Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, USA.
Int J Radiat Biol. 2023;99(6):925-933. doi: 10.1080/09553002.2021.1928784. Epub 2021 May 21.
Transcriptomic-based approaches are being developed to meet the needs for large-scale radiation dose and injury assessment and provide population triage following a radiological or nuclear event. This review provides background and definition of the need for new biodosimetry approaches, and summarizes the major advances in this field. It discusses some of the major model systems used in gene signature development, and highlights some of the remaining challenges, including individual variation in gene expression, potential confounding factors, and accounting for the complexity of realistic exposure scenarios.
Transcriptomic approaches show great promise for both dose reconstruction and for prediction of individual radiological injury. However, further work will be needed to ensure that gene expression signatures will be robust and appropriate for their intended use in radiological or nuclear emergencies.
为满足大规模辐射剂量和损伤评估的需求，并为放射性或核事件后进行人群分诊，正在开发基于转录组学的方法。本综述提供了新的生物剂量测定方法的需求背景和定义，并总结了该领域的主要进展。它讨论了在基因特征开发中使用的一些主要模型系统，并强调了一些尚存的挑战，包括基因表达的个体差异、潜在的混杂因素，以及对现实暴露场景复杂性的考虑。
转录组学方法在剂量重建和个体放射性损伤预测方面都显示出巨大的潜力。然而，需要进一步的工作来确保基因表达特征将是稳健的，并适合于在放射性或核紧急情况下的预期用途。
