Association of radiation-induced genes with noncancer chronic diseases in Mayak workers occupationally exposed to prolonged radiation.

We examined the association of gene expression with noncancer chronic disease outcomes in Mayak nuclear weapons plant workers who were exposed to radiation due to their occupation. We conducted a cross-sectional study with selection based on radiation exposure status of Mayak plant workers living in Ozyorsk who were alive in 2011 and either exposed to: combined incorporated Plutonium-239 ((239)Pu) and external gamma-ray exposure (n = 82); external gamma-ray exposure alone (n = 18); or were unexposed (n = 50) of Ozyorsk residents who provided community-based professional support for plant personnel and who were alive in 2011. Peripheral blood was taken and RNA was isolated and then converted into cDNA and stored at -20°C. In a previous analysis we screened the whole genome for radiation-associated candidate genes, and validated 15 mRNAs and 15 microRNAs using qRT-PCR. In the current analysis we examined the association of these genes with 15 different chronic diseases on 92 samples (47 males, 45 females). We examined the radiation-to-gene and gene-to-disease associations in statistical models stratified by gender and separately for each disease and exposure. We modeled radiation exposure as gamma or (239)Pu on both the continuous and categorical scales. Unconditional logistic regression was used to calculate odds ratios (OR), 95% confidence intervals (CI), and the concordance for genes that were significantly associated with radiation exposure and a specific disease outcome were identified. Altogether 12 mRNAs and 9 microRNAs appeared to be significantly associated with 6 diseases, including thyroid diseases (3 genes, OR: 1.2-5.1, concordance: 71-78%), atherosclerotic diseases (4 genes, OR: 2.5-10, concordance: 70-75%), kidney diseases (6 genes, OR: 1.3-8.6, concordance: 69-85%), cholelithiasis (3 genes, OR: 0.2-0.3, concordance: 74-75%), benign tumors [1 gene (AGAP4), OR: 3.7, concordance: 81%] and chronic radiation syndrome (4 genes, OR: 2.5-4.3, concordance: 70-99%). Further associations were found for systolic blood pressure (6 genes, OR: 3.7-10.6, concordance: 81-88%) and body mass index [1 gene (miR-484), OR: 3.7, concordance: 81%]. All associations were gender and exposure dependent. These findings suggest that gene expression changes observed after occupational prolonged radiation exposures may increase the risk for certain noncancer chronic diseases.

Gene expression analysis in Mayak workers with prolonged occupational radiation exposure.

The authors evaluated gene expression in the peripheral blood in relation to occupational exposure in Mayak workers to find out about the existence of a permanent post exposure signature. Workers were exposed to combined incorporated ²³9Pu and external gamma rays (n = 82) or to external gamma rays only (n = 18), and 50 unexposed individuals served as controls. Peripheral blood was taken from workers older than 70 y. RNA was isolated, converted into cDNA, and stored at -20°C. A two-stage study design was performed focusing on examinations on the transcriptional (mRNA) and post-transcriptional level (microRNA). In the first stage, 40 samples were identified for screening purposes and selection of candidate genes. For examinations on the transcriptional level, whole genome microarrays and qRT-PCR were employed on the post-transcriptional level (667 microRNAs). Candidate genes were assessed by (1) introducing a twofold difference in gene expression over the reference group and (2) showing a significant p-value using the Kruskal-Wallis test. From 42,545 transcripts of the whole genome microarray, 376 candidate genes (80 up-regulated and 296 down-regulated relative to the reference group) were selected. Expression of almost all of these genes (70-98%) appeared significantly associated with internal ²³9Pu and to a lesser extent were associated with external gamma-ray exposure (2-30%). Associations in the same direction were found for 45 microRNAs. Although both exposures led to modulations of different gene sets in different directions, the authors could detect no differences in gene set enrichment analysis.

Independent validation of candidate genes identified after a whole genome screening on Mayak workers exposed to prolonged occupational radiation.

We evaluated gene expression in the peripheral blood of Mayak workers in relationship to occupational chronic exposure to identify permanent post-exposure signatures. The Mayak workers had experienced either a combined exposure to incorporated (239)Pu and external gamma rays (n = 82) or exposure to external gamma rays (n = 18). Fifty unexposed individuals served as controls. Peripheral blood was collected and then the RNA was isolated, converting it into cDNA and stored at -20°C. In a previous study at stage I, we screened the mRNA and microRNA transcriptome using 40 of the 150 samples and identified 95 mRNAs and 45 microRNAs. In stage II of this study, we now validated our 140 candidate genes using the qRT-PCR technique for the remaining 92 blood samples (18 samples were lost due to methodological reasons). We analyzed associations of normalized gene expression values in linear models separately for both exposure types (continuous and categorical scales) and adjusted for exposure age as well as stratified by gender. After further adjustment for confounders such as chronic non-cancer diseases or age at biosampling, mostly binary (on/off) dose-to-gene relationships were found for 15 mRNAs and 15 microRNAs, of which 8 mRNAs and 6 microRNAs remained significant after Bonferroni correction. Almost all of them were associated with plutonium incorporation and gender. Our study provides mRNA and microRNA gene expression changes dependent on the exposure type and gender, which occur and seem to persist after chronic radiation exposures supporting the concept of permanent post-exposure signatures.