Routine CT Diagnostics Cause Dose-Dependent Gene Expression Changes in Peripheral Blood Cells

The increasing use of computed tomography (CT) has led to a rise in cumulative radiation dose due to medical imaging, raising concerns about potential long-term adverse effects. Large-scale epidemiological studies indicate a higher tumor incidence associated with CT examinations, but the underlying biological mechanisms remain largely unexplained. To gain further insights into the cellular response triggered by routine CT diagnostics, we investigated CT-induced changes of gene expression in peripheral blood cells using whole transcriptome sequencing. RNA was isolated from peripheral blood cells of 40 male patients with asymptomatic microhematuria, sampled before and after multi-phase abdominal CT (CTDIvol: 3.75-26.95 mGy, median: 6.55 mGy). On average, 22.11 million sequence reads (SD 5.71) per sample were generated to identify differentially expressed genes 6 h post-exposure by means of DESeq2. To assess the dose dependency of CT-induced effects, we additionally divided samples into three categories: low exposure (≤6.55 mGy, n = 20), medium exposure (>6.55 mGy and <12 mGy, n = 16), and high exposure (≥12 mGy, n = 4), and repeated gene expression analysis for each subset and their corresponding prae-exposure sample. CT exposure caused consistent and dose-dependent upregulation of six genes (<i>EDA2R</i>, <i>AEN</i>, <i>FDXR</i>, <i>DDB2</i>, <i>PHLDA3</i>, and <i>MIR34AHG</i>; padj < 0.1). These genes share several functional commonalities, including regulation by TP53 and involvement in the DNA damage response. The biological pathways highlighted by Gene Set Enrichment Analysis (GSEA) suggest a dose-dependent increase of cellular damage and metabolic particularities in the low-exposure subset, which may be related to a potential adaptive cellular response to low-dose irradiation. Irrespective of applied dose, <i>AEN</i> emerged as the most robust biomarker for CT exposure among all genes. Routine abdominal CT scans cause dose-dependent gene deregulation in association with DNA damage in peripheral blood cells after in vivo exposure. Regarding risk assessment of CT, our results support the commonly applied "As Low-As -Reasonably Achievable (ALARA)" principle. Evidence of additional gene expression changes associated with metabolic processes indicates a rather complex molecular response beyond DNA damage after CT exposure, and emphasizes the need for further targeted investigations.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-03-29
DOI
https://doi.org/10.3390/ijms26073185
Citations
4
Primary Topic
Radiation Dose and Imaging
Type
article
Field-Weighted Citation Impact
5.44
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article

Routine CT Diagnostics Cause Dose-Dependent Gene Expression Changes in Peripheral Blood Cells

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4 citations
International Journal of Molecular Sciences
Radiation Dose and Imaging
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article

Routine CT Diagnostics Cause Dose-Dependent Gene Expression Changes in Peripheral Blood Cells

Stephan Waldeck, Reinhard Ullmann, Joel Piechotka, Thomas Hantke, Matthias Port, Benjamin V. Becker, Tim Nestler, Patrick Ostheim, Hanns Leonhard Kaatsch, Simon Wagner, Daniel Overhoff, Laura Kubitscheck, Maximilian Preiss, Marc Alexander Brockmann
article en
4 citations

Abstract

The increasing use of computed tomography (CT) has led to a rise in cumulative radiation dose due to medical imaging, raising concerns about potential long-term adverse effects. Large-scale epidemiological studies indicate a higher tumor incidence associated with CT examinations, but the underlying biological mechanisms remain largely unexplained. To gain further insights into the cellular response triggered by routine CT diagnostics, we investigated CT-induced changes of gene expression in peripheral blood cells using whole transcriptome sequencing. RNA was isolated from peripheral blood cells of 40 male patients with asymptomatic microhematuria, sampled before and after multi-phase abdominal CT (CTDIvol: 3.75-26.95 mGy, median: 6.55 mGy). On average, 22.11 million sequence reads (SD 5.71) per sample were generated to identify differentially expressed genes 6 h post-exposure by means of DESeq2. To assess the dose dependency of CT-induced effects, we additionally divided samples into three categories: low exposure (≤6.55 mGy, n = 20), medium exposure (>6.55 mGy and <12 mGy, n = 16), and high exposure (≥12 mGy, n = 4), and repeated gene expression analysis for each subset and their corresponding prae-exposure sample. CT exposure caused consistent and dose-dependent upregulation of six genes (<i>EDA2R</i>, <i>AEN</i>, <i>FDXR</i>, <i>DDB2</i>, <i>PHLDA3</i>, and <i>MIR34AHG</i>; padj < 0.1). These genes share several functional commonalities, including regulation by TP53 and involvement in the DNA damage response. The biological pathways highlighted by Gene Set Enrichment Analysis (GSEA) suggest a dose-dependent increase of cellular damage and metabolic particularities in the low-exposure subset, which may be related to a potential adaptive cellular response to low-dose irradiation. Irrespective of applied dose, <i>AEN</i> emerged as the most robust biomarker for CT exposure among all genes. Routine abdominal CT scans cause dose-dependent gene deregulation in association with DNA damage in peripheral blood cells after in vivo exposure. Regarding risk assessment of CT, our results support the commonly applied "As Low-As -Reasonably Achievable (ALARA)" principle. Evidence of additional gene expression changes associated with metabolic processes indicates a rather complex molecular response beyond DNA damage after CT exposure, and emphasizes the need for further targeted investigations.

International Journal of Molecular SciencesVol. 26(7)
Johannes Gutenberg University Mainz (DE), Universität der Bundeswehr München (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), Bundeswehrzentralkrankenhaus Koblenz (DE)
Good health and well-being
Openalex Percentile: Top 5%
Radiation Dose and Imaging
5.44
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