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| 32. |
- Langen, Britta, et al.
(författare)
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Age and sex effects across the blood proteome after ionizing radiation exposure can bias biomarker screening and risk assessment
- 2022
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- Molecular biomarkers of ionizing radiation (IR) exposure are a promising new tool in various disciplines: they can give necessary information for adaptive treatment planning in cancer radiotherapy, enable risk projection for radiation-induced survivorship diseases, or facilitate triage and intervention in radiation hazard events. However, radiation biomarker discovery has not yet resolved the most basic features of personalized medicine: age and sex. To overcome this critical bias in biomarker identification, we quantitated age and sex effects and assessed their relevance in the radiation response across the blood proteome. We used high-throughput mass spectrometry on blood plasma collected 24 h after 0.5 Gy total body irradiation (15 MV nominal photon energy) from male and female C57BL/6 N mice at juvenile (7-weeks-old) or adult (18-weeks-old) age. We also assessed sex and strain effects using juvenile male and female BALB/c nude mice. We showed that age and sex created significant effects in the proteomic response regarding both extent and functional quality of IR-induced responses. Furthermore, we found that age and sex effects appeared non-linear and were often end-point specific. Overall, age contributed more to differences in the proteomic response than sex, most notably in immune responses, oxidative stress, and apoptotic cell death. Interestingly, sex effects were pronounced for DNA damage and repair pathways and associated cellular outcome (pro-survival vs. pro-apoptotic). Only one protein (AHSP) was identified as a potential general biomarker candidate across age and sex, while GMNN, REG3B, and SNCA indicated some response similarity across age. This low yield advocated that unisex or uniage biomarker screening approaches are not feasible. In conclusion, age- and sex-specific screening approaches should be implemented as standard protocol to ensure robustness and diagnostic power of biomarker candidates. Bias-free molecular biomarkers are a necessary progression towards personalized medicine and integral for advanced adaptive cancer radiotherapy and risk assessment.
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| 35. |
- Langen, Britta, et al.
(författare)
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Data convolution and circadian rhythm impact identification of biomarker genes for ionizing radiation exposure in vivo: concept study on 131I exposure in mouse thyroid
- 2015
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Ingår i: 15th International Congress of Radiation Research, Kyoto, Japan, May 25-29.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Background: Expression microarrays have been used increasingly for biomarker discovery of genes related to ionizing radiation (IR) exposure, particularly in vivo. However, diurnal variation of gene expression and data convolution from mixed cell populations can hinder biomarker discovery. For one, candidate biomarker genes may underlie circadian rhythmicity and their expression may oscillate affecting their robustness or indicative potential. For the other, significant responses from a specific cell type can be hidden in expression data from mixed cell populations creating bias in results or even precluding biomarker discovery. Aim: To identify biomarkers of IR exposure in thyroid tissue and asses their robustness with regard to circadian rhythm and data convolution. Methods: Female BALB/c nude mice (n=3–4/group) were i.v. injected with 90 kBq 131I, or mock-treated, at 9am, 12pm, or 3pm and killed after 24h. Total RNA was extracted from excised thyroids and subjected to microarray analysis (Illumina platform). Data were processed with Nexus Expression v3.0 (cut-off adjusted P <0.01; log2 ratio ≥0.58). Enriched biological processes (P value <0.05) were categorized after cellular function according to Gene Ontology terms. Data was deconvoluted by cell frequency of follicular cells and C-cells with csSAM using R/Bioconductor. Thyroid mean absorbed dose was calculated as 5.9 Gy using the MIRD formalism. Results: Twenty-five genes responded to 131I in thyroid irrespective of time of day, notably members of the kallikrein (KLK1) gene family, but direction of regulation and fold-change differed distinctly. All KLK1 transcripts were detected in at least one deconvoluted data set, while five additional KLK1 transcripts were detected upon deconvolution. Deconvolution also increased the detection rate of significant transcript regulation and regulated biological processes: DNA integrity, gene expression integrity, and cellular stress were negative in convoluted data, but showed distinct responses in both follicular cells and C-cells. Conclusions: The KLK1 gene family is a promising biomarker candidate that shows robustness of detection. Circadian rhythm and convolution affected the quality and quantity of detected transcriptional responses and we advocate their consideration in the in vivo setting.
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| 36. |
- Langen, Britta, et al.
(författare)
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Deconvolution of expression microarray data reveals I-131-induced responses otherwise undetected in thyroid tissue
- 2018
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Ingår i: Plos One. - : Public Library of Science (PLoS). - 1932-6203. ; 13:7
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Tidskriftsartikel (refereegranskat)abstract
- High-throughput gene expression analysis is increasingly used in radiation research for discovery of damage-related or absorbed dose-dependent biomarkers. In tissue samples, cell type-specific responses can be masked in expression data due to mixed cell populations which can preclude biomarker discovery. In this study, we deconvolved microarray data from thyroid tissue in order to assess possible bias from mixed cell type data. Transcript expression data [GSE66303] from mouse thyroid that received 5.9 Gy from I-131 over 24 h (or 0 Gy from mock treatment) were deconvolved by cell frequency of follicular cells and C-cells using csSAM and R and processed with Nexus Expression. Literature-based signature genes were used to assess the relative impact from ionizing radiation (IR) or thyroid hormones (TH). Regulation of cellular functions was inferred by enriched biological processes according to Gene Ontology terms. We found that deconvolution increased the detection rate of significantly regulated transcripts including the biomarker candidate family of kallikrein transcripts. Detection of IR-associated and TH-responding signature genes was also increased in deconvolved data, while the dominating trend of TH-responding genes was reproduced. Importantly, responses in biological processes for DNA integrity, gene expression integrity, and cellular stress were not detected in convoluted data-which was in disagreement with expected dose-response relationships-but upon deconvolution in follicular cells and C-cells. In conclusion, previously reported trends of I-131-induced transcriptional responses in thyroid were reproduced with deconvolved data and usually with a higher detection rate. Deconvolution also resolved an issue with detecting damage and stress responses in enriched data, and may reduce false negatives in other contexts as well. These findings indicate that deconvolution can optimize microarray data analysis of heterogeneous sample material for biomarker screening or other clinical applications.
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| 37. |
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| 38. |
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| 39. |
- Langen, Britta, et al.
(författare)
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Non-targeted transcriptomic effects upon thyroid irradiation: similarity between in-field and out-of-field responses varies with tissue type
- 2016
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 6
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Tidskriftsartikel (refereegranskat)abstract
- Non-targeted effects can induce responses in tissues that have not been exposed to ionizing radiation. Despite their relevance for risk assessment, few studies have investigated these effects in vivo. In particular, these effects have not been studied in context with thyroid exposure, which can occur e.g. during irradiation of head and neck tumors. To determine the similarity between in-field and out-offield responses in normal tissue, we used a partial body irradiation setup with female mice where the thyroid region, the thorax and abdomen, or all three regions were irradiated. After 24h, transcriptional regulation in the kidney cortex, kidney medulla, liver, lungs, spleen, and thyroid was analyzed using microarray technology. Thyroid irradiation resulted in transcriptional regulation in the kidney medulla and liver that resembled regulation upon direct exposure of these tissues regarding both strength of response and associated biological function. The kidney cortex showed fewer similarities between the setups, while the lungs and spleen showed little similarity between in-field and out-of-field responses. Interestingly, effects were generally not found to be additive. Future studies are needed to identify the molecular mechanisms that mediate these systemic effects, so that they may be used as targets to minimize detrimental side effects in radiotherapy.
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