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Updated: Jan 7, 2026

Measuring DNA Damage and Repair in Mouse Splenocytes After Chronic In Vivo Exposure to Very Low Doses of Beta- and Gamma-Radiation
Published on: July 3, 2015
Impact of Low-Dose CT Radiation on Gene Expression and DNA Integrity
Nikolai Schmid1, Vadim Gorte2, Michael Akers3
1Bundeswehr Institute of Radiobiology affiliated to Ulm University, Neuherbergstr. 11, 80937 Munich, Germany.
Computed tomography (CT) scans expose patients to low-dose radiation. Transcriptional biomarkers in blood cells show sensitive, dose-dependent responses, indicating their potential as biodosimetry tools for medical imaging radiation exposure.
Area of Science:
- Medical Imaging
- Radiation Biology
- Molecular Diagnostics
Background:
- Computed tomography (CT) is a primary source of medical imaging radiation exposure.
- Assessing risks from low-dose radiation is challenging, often relying on the linear no-threshold model.
- Understanding cellular responses to low-dose radiation is crucial for accurate risk assessment.
Purpose of the Study:
- To investigate radiation-induced transcriptomic and DNA damage alterations in peripheral blood cells following CT scans.
- To compare gene expression changes between in vivo and ex vivo blood sample incubation.
- To evaluate the potential of transcriptional biomarkers as biodosimetry tools for low-dose radiation exposure.
Main Methods:
- Collected peripheral whole blood from 60 patients before and after CT scans.
- Quantified gene expression of radiation-responsive genes using qRT-PCR.
- Assessed DNA double-strand breaks (DSB) via γ-H2AX + 53BP1 focus staining in a subset of patients.
Main Results:
- Differential gene expression varied significantly between in vivo and ex vivo incubation, with ex vivo masking true low-dose effects.
- In vivo samples showed significant upregulation of genes including EDA2R, MIR34AHG, PHLDA3, DDB2, FDXR, and AEN.
- A linear dose-dependent upregulation was observed for several genes, with AEN and FDXR showing high explained variance.
- DSB analysis indicated a slight, non-significant increase in damage post-exposure.
Conclusions:
- Transcriptional biomarkers are sensitive indicators of low-dose radiation exposure from medical imaging.
- In vivo gene expression analysis is more reflective of actual radiation effects than ex vivo.
- These biomarkers show promise as clinically applicable biodosimetry tools, highlighting the need for dose optimization in CT scans.
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