Combined effects of gamma radiation and arsenite on the proteome of human TK6 lymphoblastoid cells

Tapio, Soile; Danescu-Mayer, Joana; Asmuss, Monika; Posch, Anton; Gomolka, Maria; Hornhardt, Sabine

doi:10.1016/j.mrgentox.2004.11.016

Cited by 21 publications

(13 citation statements)

References 69 publications

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“…Animal and cellular studies have been used as a tool to identify potential biomarkers that then may be tested in molecular epidemiological studies [173][174][175][176][177]. Marchetti et al conducted a literature review of candidate protein biomarkers for individual radiation biodosimetry of exposure to IR [178].…”

Section: Biomarkers Related To Changes In Protein Levelsmentioning

confidence: 99%

Ionizing radiation biomarkers for potential use in epidemiological studies

Pernot

Hall

Baatout

et al. 2012

Mutation Research/Reviews in Mutation Research

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193

153

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Ionizing radiation is a known human carcinogen that can induce a variety of biological effects depending on the physical nature, duration, doses and dose-rates of exposure. However, the magnitude of health risks at low doses and dose-rates (below 100mSv and/or 0.1mSvmin(-1)) remains controversial due to a lack of direct human evidence. It is anticipated that significant insights will emerge from the integration of epidemiological and biological research, made possible by molecular epidemiology studies incorporating biomarkers and bioassays. A number of these have been used to investigate exposure, effects and susceptibility to ionizing radiation, albeit often at higher doses and dose rates, with each reflecting time-limited cellular or physiological alterations. This review summarises the multidisciplinary work undertaken in the framework of the European project DoReMi (Low Dose Research towards Multidisciplinary Integration) to identify the most appropriate biomarkers for use in population studies. In addition to logistical and ethical considerations for conducting large-scale epidemiological studies, we discuss the relevance of their use for assessing the effects of low dose ionizing radiation exposure at the cellular and physiological level. We also propose a temporal classification of biomarkers that may be relevant for molecular epidemiology studies which need to take into account the time elapsed since exposure. Finally, the integration of biology with epidemiology requires careful planning and enhanced discussions between the epidemiology, biology and dosimetry communities in order to determine the most important questions to be addressed in light of pragmatic considerations including the appropriate population to be investigated (occupationally, environmentally or medically exposed), and study design. The consideration of the logistics of biological sample collection, processing and storing and the choice of biomarker or bioassay, as well as awareness of potential confounding factors, are also essential.

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Section: Biomarkers Related To Changes In Protein Levelsmentioning

confidence: 99%

Ionizing radiation biomarkers for potential use in epidemiological studies

Pernot

Hall

Baatout

et al. 2012

Mutation Research/Reviews in Mutation Research

Self Cite

193

153

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“…Consequently, arsenic may act on stem or progenitor cells of the bronchial epithelium by altering the expression of genes involved in key regulatory pathways. Indeed, arsenic has been shown to inhibit protein tyrosine and serine/threonine phosphatases, regulatory enzymes that often carry a thiol group in their active center, and to alter the expression of many kinases implicated in signaling pathways (Andrew et al 2003;Cavigelli et al 1996;Huang et al 1995;Tapio et al 2005). In line with this, large-scale expression analysis revealed that speciWc lung developmental pathways are reactivated in NSCLC (Borczuk et al 2003).…”

Section: Discussionmentioning

confidence: 99%

Major histopathological patterns of lung cancer related to arsenic exposure in German uranium miners

Taeger

Johnen

Wiethege

et al. 2008

Int Arch Occup Environ Health

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“…We focused our study on 24 radiation responsive ERP29 ERP29 candidate genes because these genes were previously documented to be connected with functions intimately linked to cancer (Table 2). [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] Among the 24 genes, observations from previous studies noted post CT changes within 1 hour after radiation in 11 genes with 4 of them (ATM, ERP29, TP53, CDKN2A) showing post CT changes from very low radiation doses, as low as 0.1 Gy. Owing to their higher radiosensitivity, children are expected to react more sensitively than adults to the CT-induced radiation insult, and therefore, we included all 24 genes in our study, although some observations were reported longer than 1 hr post CT or after IR doses higher than those used in our study.…”

Section: Discussionmentioning

confidence: 99%

“…These genes were chosen mostly from the literature between years 2000 and 2006. [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] Owing to the wide variety of experimental details (eg, radiation doses, radiation type, in vitro vs. in vivo systems) in the abundance of publications relating to gene expression effects from IR, we focused on review articles that condensed essential information on the effects of IR on various tissue (including hematological) types, which yielded 24 genes that were most likely to exhibit change in blood cells after IR exposure and were linked to cancer.…”

Section: Introductionmentioning

confidence: 99%

Changes in Whole Blood Gene Expression after Computed Tomography in Children: A Pilot Study

Halm

Tiirikainen²,

Lai³

et al. 2015

Gene Expression to Genetical Genomics

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ABSTRACT:Computed tomography (CT) exposes patients to ionizing X-irradiation (IR) that can alter the expression of genes responsible for controlling complex regulatory pathways. We sought to determine trends in the expression of 24 documented radiation-responsive genes linked to cancer in vivo. A total of 17 children (0.25-6 years old) undergoing medically indicated CT examinations with radiation doses ranging from 92.46 to 525.55 mGy cm (equivalent to effective doses of 0.78-11.30 mSv) were enrolled. Blood was drawn immediately before and 1 hour after their CT exams and mixed with an RNA additive for stabilization of gene expression. RNA samples of 14 of the 17 children were analyzed on a gene expression microarray. Absolute changes in gene expression were subtle, averaging less than 10%, but trends in expression changes of several genes were observed. ERP29, an endoplasmic reticulum chaperone, thought to be involved in the folding of secretory proteins, showed significant change in expression (8% decrease, P = 0.002) in the expected direction consistent with previous literature. PCNA expression increased linearly with CT dose (mGy cm) (P = 0.001). TP53 and FLT3LG expression increased linearly with effective dose (mSv) (P = 0.02 and P = 0.02). Previous IR exposure was associated with decreased GADD45A (P = 0.001) and FLT3LG (P = 0.03) and increased MDM2 expression (P = 0.02). We observed in this pilot study modest gene expression changes in the 24 IR-responsive candidate genes studied. Our results showed trends in gene expression changes, and they need to be confirmed in future studies with larger sample sizes to help develop risk assessments and preventive modalities for young patients undergoing CT.

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Combined effects of gamma radiation and arsenite on the proteome of human TK6 lymphoblastoid cells

Cited by 21 publications

References 69 publications

Ionizing radiation biomarkers for potential use in epidemiological studies

Ionizing radiation biomarkers for potential use in epidemiological studies

Major histopathological patterns of lung cancer related to arsenic exposure in German uranium miners

Changes in Whole Blood Gene Expression after Computed Tomography in Children: A Pilot Study

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