New Approaches for Quantitative Reconstruction of Radiation Dose in Human Blood Cells.

Abstract:

:In the event of a nuclear attack or large-scale radiation event, there would be an urgent need for assessing the dose to which hundreds or thousands of individuals were exposed. Biodosimetry approaches are being developed to address this need, including transcriptomics. Studies have identified many genes with potential for biodosimetry, but, to date most have focused on classification of samples by exposure levels, rather than dose reconstruction. We report here a proof-of-principle study applying new methods to select radiation-responsive genes to generate quantitative, rather than categorical, radiation dose reconstructions based on a blood sample. We used a new normalization method to reduce effects of variability of signal intensity in unirradiated samples across studies; developed a quantitative dose-reconstruction method that is generally under-utilized compared to categorical methods; and combined these to determine a gene set as a reconstructor. Our dose-reconstruction biomarker was trained using two data sets and tested on two independent ones. It was able to reconstruct dose up to 4.5 Gy with root mean squared error (RMSE) of ± 0.35 Gy on a test dataset using the same platform, and up to 6.0 Gy with RMSE of ± 1.74 Gy on a test set using a different platform.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Ghandhi SA,Shuryak I,Morton SR,Amundson SA,Brenner DJ

doi

10.1038/s41598-019-54967-5

subject

Has Abstract

pub_date

2019-12-05 00:00:00

pages

18441

issue

1

issn

2045-2322

pii

10.1038/s41598-019-54967-5

journal_volume

9

pub_type

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