Possible DNA damage after paternal exposure to ionizing radiation in radar technicians
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ABSTRACT:
PROVIDER: EGAS00001007321 | EGA |
REPOSITORIES: EGA
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Project description:<p>Long-term low-dose ionizing radiation (LLIR) widely exists in human life and has been confirmed to have potential pathogenic effects on cancer and cardiovascular diseases. However, it is technically and ethically unfeasible to explore LLIR-induced phenotypic changes in the human cohort, leading to slow progress in revealing the pathogenesis of LLIR. In this work, we recruited 32 radiation workers and 18 healthy non-radiation workers from the same city with the same eating habits for radiation damage evaluation and metabolomics profiling. It was found that clear metabolic phenotypic differences existed between LLIR and non-LLIR exposed participants. Moreover, LLIR exposed workers can be further divided into 2 types of metabolic phenotypes, corresponding to high and low damage types, respectively. 3-hydroxypropanoate and glycolaldehyde were identified as sensitive indicators to radiation damage, which specific response to the chromosomal aberration of workers and may be potential monitoring markers for LLIR protection. Taurine metabolism-related pathways were identified as the main differential metabolic pathway under LLIR inducing, which had been confirmed to have a response to acute or chronic radiation exposure. We expect our study can be helpful to LLIR damage monitoring and symptomatic intervention in the future.</p>
2022-04-07 | MTBLS3854 | MetaboLights
Project description:Low-dose radiation refers to exposure to ionizing radiation at levels that are generally considered safe and not expected to cause immediate health effects. However, the effects of low-dose radiation are still not fully understood and research in this area is ongoing. In this study, we investigated changes in gene expression in diabetic human aortic endothelial cells (T2D-HAECs) derived from type 2 diabetes patients. To this end, we used RNA-seq to profile the transcriptomes of cells exposed to varying doses of low-dose radiation (0.1Gy, 0.5Gy, and 2.0Gy) and compared them to a control group with no radiation exposure. Differentially expressed genes and enriched pathways were identified using the DESeq2 and gene set enrichment analysis (GSEA) methods, respectively. The data generated in this study are publicly available through the gene expression omnibus (GEO) database. This study provides a valuable resource for studying the effects of low-dose radiation on T2D-HAECs and can contribute to a better understanding of the potential human health risks associated with low-dose radiation exposure.
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Project description:This SuperSeries is composed of the following subset Series: GSE6871: Gene expression signatures that predict radiation exposure (human) GSE6873: Gene expression signatures that predict radiation exposure (mouse) Keywords: SuperSeries Refer to individual Series
2010-06-12 | E-GEOD-6874 | biostudies-arrayexpress
Project description:Gene expression analysis of peripheral blood leukocytes (PB MNCs) to develop expression profiles that accurately reflect prior radiation exposure. Keywords: Comparative, exposure dosage, C57BI6 Murine Irradiation Studies We have made use of gene expression analysis of peripheral blood mononuclear cells (PB MNCs) to develop expression profiles that accurately reflect prior radiation exposure. Importantly, we demonstrate that expression profiles can be developed that not only predict radiation exposure in mice but also distinguish the level of radiation exposure, ranging from 50 cGy to 1000 cGy. Likewise, a molecular signature of radiation response developed solely from irradiated human patient samples can predict and distinguish irradiated human PB samples from non-irradiated samples with an accuracy of 90%, sensitivity of 85% and specificity of 94%. We further demonstrate that a radiation profile developed in the mouse can correctly distinguish PB samples from irradiated and non-irradiated human patients with an accuracy of 77%, sensitivity of 82% and specificity of 75%. Taken together, these data demonstrate that molecular profiles can be generated which are highly predictive of different levels of radiation exposure in mice and humans. Mouse Dataset only
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Project description:Accidental or iatrogenic ionizing radiation exposure precipitates acute and chronic radiation injuries. Traditional paradigm of mitigating radiotherapy-associated side effects has ignored the gender-specific dimorphism of patients. Here we examined the effects of sexual dimorphism on therapeutic agent efficiencies in murine models. High-throughput sequencing of host mRNA showed that different treatments reprogrammed the spectrum of mRNA expression in small intestines of male or female mice, respectively. Collectively, our observations demonstrate that therapeutic strategy efficiencies for radiation toxicity might be dependent on the gender of patients. We aim to uncover the underlying mechanisms by which simvastatin or high fat diet fights against radiotherapy-induced gastrointestinal tract toxicity for male or female mice. The mice were exposed to 12 Gy total abdominal irradiation (TAI), then treated with simvastatin for male mice or fed with high fat diet for female mice. The small intestine tissues were extracted from male mice without TAI, exposed to TAI only, and exposed to TAI combined with simvastatin treatment as one cohort, and from female mice without TAI, exposed to TAI only, and exposed to TAI combined with high fat diet feeding as the other cohort.
2020-01-25 | GSE126507 | GEO
Project description:Accidental or iatrogenic ionizing radiation exposure precipitates acute and chronic radiation injuries. Traditional paradigm of mitigating radiotherapy-associated side effects has ignored the gender-specific dimorphism of patients. Here we examined the effects of sexual dimorphism on therapeutic agent efficiencies in murine models. High-throughput sequencing showed that different treatments preserved miRNA expression profile in small intestines of male or female mice, respectively. Collectively, our observations demonstrate that therapeutic strategy efficiencies for radiation toxicity might be dependent on the gender of patients. We aim to uncover the underlying mechanisms by which simvastatin or high fat diet fights against radiotherapy-induced gastrointestinal tract toxicity for male or female mice. The mice were exposed to 12 Gy total abdominal irradiation (TAI), then treated with simvastatin for male mice or fed with high fat diet for female mice. The small intestine tissues were extracted from male mice without TAI, exposed to TAI only, and exposed to TAI combined with simvastatin treatment as one cohort, and from female mice without TAI, exposed to TAI only, and exposed to TAI combined with high fat diet feeding as the other cohort.
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Project description:One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the time since exposure and dosage of exposure, dose- and time-dependent “biomarkers” are needed. Therefore, we performed a dose- and time-course transcriptional analysis for radiation exposure at 0, 0.15, 0.30, and 1.5 Gy with corresponding time points at 1 hour (hr) post-exposure as well as 2 hr and 6 hr using Affymetrix® Human PrimeArrayTM chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation.
2017-12-01 | GSE63952 | GEO
Project description:One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the dosage within 1 hour post-exposure, dose-dependent “biomarkers” are needed. Therefore, we performed a dose-course transcriptional analysis for radiation exposure at 0, 0.3, 1.5, and 3.0 Gy with corresponding time point at 1 hour (hr) post-exposure using Affymetrix® GeneChip® Human Gene 1.0 ST v1 Array chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation.
2016-01-01 | GSE64375 | GEO
Project description:The melanized yeast Exophiala dermatitidis is resistant to many environmental stresses, and is used as a model for understanding the diverse roles of melanin in fungi. To further our understanding resistance mechanism of E. dermatitidis to acute γ-radiation exposure and whether melanin plays a role in this process, we performed RNA-seq on WT and the melanin deficient mutant Δpks1 cultures exposed to γ-radiation at the dose of 1000 Gy, which resulted in ~50% cell deaths in both strains. We observed a dramatic transcriptomic response to γ-radiation that mobilizes pathways involved in morphological development, protein degradation, and DNA repair, and is unaffected by the presence of melanin.
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Project description:Significant impacts on gene expression were observed generations after exposure in ionising radiation exposed nematodes.
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