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Zhang Z, Shi W, Ru L, Lv W. Biomarkers of occupational benzene exposure: A Systematic Review to estimate the exposure levels and individual susceptibility at low doses. Toxicol Ind Health 2024:7482337241259053. [PMID: 38864232 DOI: 10.1177/07482337241259053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
Benzene is associated with diverse occupational and public health hazards. It exhibits an ability to rapidly permeate the skin and contaminate water and food sources, leading to dermal and ingestion exposures. Despite numerous studies examining the associations between benzene and various indicators of harm, the findings have yielded inconsistent results. Furthermore, relying solely on air concentration as a measure of benzene exposure is limited, as it fails to account for internal exposure dose and individual susceptibility. This study aimed to conduct a comprehensive review in order to present current knowledge on benzene biomarkers and their significance in evaluating exposure levels and associated health hazards. The search methodology adhered to the PRISMA guidelines and involved the application of specific inclusion and exclusion criteria across multiple databases including PubMed, Embase, and Web of Science. Two researchers independently extracted and evaluated the relevant data based on predetermined criteria. Following the screening process, a total of 80 articles were considered eligible out of the initially retrieved 1053 articles after undergoing screening and assessment for inclusion. As the level of exposure decreased, specific biomarkers demonstrated a gradual increase in limitations, including heightened background concentrations and vulnerability to confounding factors. The advancement of sampling and analysis techniques will yield new biomarkers. Additionally, when conducting practical work, it is crucial to employ a comprehensive utilization of diverse biomarkers while excluding individual metabolic variations and combined exposure factors.
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Affiliation(s)
- Zhijuan Zhang
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China
- Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou, China
| | - Wenmin Shi
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China
| | - Lihua Ru
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China
| | - Wei Lv
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China
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Kumar S, Gupta R, Aggarwal N, Yadav A. Association of glutathione-S-transferase polymorphism with genetic damage in paint workers. Mol Biol Rep 2023; 50:4899-4905. [PMID: 37072654 DOI: 10.1007/s11033-023-08335-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 02/14/2023] [Indexed: 04/20/2023]
Abstract
BACKGROUND Occupational exposure to toluene causes serious health problems ranging from drowsiness to lethal diseases such as cancer. Paint workers are exposed to toluene through inhalation or the dermal route, which can induce genetcic damage. The increased DNA damage could be linked to genetic polymorphism. Therefore, we evaluated the association of glutathione-S-transferase polymorphism with DNA damage in paint workers. METHODS First, we included skilled paint workers (n = 30) as exposed and healthy individuals (n = 30) as control belonging to the same socio-economic strata. The genotoxicity biomarkers, Cytokinesis-block micronucleus (CBMN), and single-cell gel electrophoresis (SCGE)/Comet assay were used to assess genotoxicity while Multiplex-PCR and PCR-RFLP were used to assess polymorphism in glutathione-s-transferase (GST) genes. Using linear curve regression analysis, we assessed the association between genetic damage and polymorphism in the glutathione-s-transferase (GST) gene in the exposed and control subjects. RESULTS A significantly higher frequency of CBMN (4.43 ± 1.50) and tail moment (TM) (11.23 ± 1.0) respectively in paint workers as compared to the control(1.50 ± 0.86 and (0.54 ± 0.37) underlined significantly high genetic damage in paint workers.Regression curve analysis reveals that polymorphism in the GST gene is significantly associated with higher MN and TM in paint workers. CONCLUSION Overall, our study provides a strong rationale for identifying a clear association between glutathione-S-transferase polymorphism and genetic damage in paint workers.
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Affiliation(s)
- Sunil Kumar
- Department of Biotechnology, Kurukshetra University, Kurukshetra, 136119, Haryana, India
- Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, 110608, India
| | - Ranjan Gupta
- Department of Biochemistry, Kurukshetra University, Kurukshetra, 136119, Haryana, India
| | - Neeraj Aggarwal
- Department of Microbiology, Kurukshetra University, Kurukshetra, 136119, Haryana, India
| | - Anita Yadav
- Department of Biotechnology, Kurukshetra University, Kurukshetra, 136119, Haryana, India.
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Scholten B, Vlaanderen J, Stierum R, Portengen L, Rothman N, Lan Q, Pronk A, Vermeulen R. A Quantitative Meta-Analysis of the Relation between Occupational Benzene Exposure and Biomarkers of Cytogenetic Damage. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:87004. [PMID: 32783535 PMCID: PMC7422719 DOI: 10.1289/ehp6404] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND The genotoxicity of benzene has been investigated in dozens of biomonitoring studies, mainly by studying (classical) chromosomal aberrations (CAs) or micronuclei (MN) as markers of DNA damage. Both have been shown to be predictive of future cancer risk in cohort studies and could, therefore, potentially be used for risk assessment of genotoxicity-mediated cancers. OBJECTIVES We sought to estimate an exposure-response curve (ERC) and quantify between-study heterogeneity using all available quantitative evidence on the cytogenetic effects of benzene exposure on CAs and MN respectively. METHODS We carried out a systematic literature review and summarized all available data of sufficient quality using meta-analyses. We assessed the heterogeneity in slope estimates between studies and conducted additional sensitivity analyses to assess how various study characteristics impacted the estimated ERC. RESULTS Sixteen CA (1,356 individuals) and 13 MN studies (2,097 individuals) were found to be eligible for inclusion in a meta-analysis. Studies where benzene was the primary genotoxic exposure and that had adequate assessment of both exposure and outcomes were used for the primary analysis. Estimated slope estimates were an increase of 0.27% CA [(95% CI: 0.08%, 0.47%); based on the results from 4 studies] and 0.27% MN [(95% CI: -0.23%, 0.76%); based on the results from 7 studies] per parts-per-million benzene exposure. We observed considerable between-study heterogeneity for both end points (I2>90%). DISCUSSION Our study provides a systematic, transparent, and quantitative summary of the literature describing the strong association between benzene exposure and accepted markers of genotoxicity in humans. The derived consensus slope can be used as a best estimate of the quantitative relationship between real-life benzene exposure and genetic damage in future risk assessment. We also quantitate the large between-study heterogeneity that exists in this literature, a factor which is crucial for the interpretation of single-study or consensus slopes. https://doi.org/10.1289/EHP6404.
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Affiliation(s)
- Bernice Scholten
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
- Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands
| | - Jelle Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Nat Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland, USA
| | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
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Zhou Y, Wang K, Wang B, Pu Y, Zhang J. Occupational benzene exposure and the risk of genetic damage: a systematic review and meta-analysis. BMC Public Health 2020; 20:1113. [PMID: 32669091 PMCID: PMC7362416 DOI: 10.1186/s12889-020-09215-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 07/06/2020] [Indexed: 12/29/2022] Open
Abstract
Background Benzene, an important component of organic solvents, is commonly used in industry. Meanwhile, benzene is a human carcinogen leading to leukemia. Although the links between benzene and various types of genetic damage indicators have been evaluated in several studies, but their results remain inconsistent. So we conducted a meta-analysis, and to explore the influence of low concentration benzene exposure on workers’ genetic damage indicators using 3.25 mg/m3 as the boundary value, in order to provide a basis for improved prevention and control of the harm from benzene exposure to the occupational population. Methods We conducted a search of five databases, including Pub Med, Web of Science, China National Knowledge Infrastructure (CNKI), Wan Fang Data and Chongqing VIP, to identify relevant articles up to December 25, 2018. Two researchers independently extracted and evaluated the data according to the inclusion and exclusion criteria of the literature. The imported articles were managed by Endnote X7, and the data were extracted and sorted by Excel 2013. We utilized Stata 12.0 software to perform the meta-analysis in the present study. Results A total of 68 eligible articles were finally included for the synthetic analyses. The meta-analysis results showed that occupational benzene exposure led to significantly increased Micronucleus (MN) frequency, Sister chromatid exchange (SCE) frequency, Chromosome aberration (CA) frequency, Olive Tail moment (OTM), Tail moment (TM), Tail length (TL), and Tail DNA% (T DNA%) compared to the control group (P < 0.05), and the pooled effect value estimates were 1.36, 0.98, 0.76, 1.06, 0.96, 1.78, and 1.42, respectively. Subsequent analysis of the effect of low concentration benzene exposure on genetic damage found significantly increased MN frequency increased compared with the control group (P < 0.05). Conclusions Occupational benzene exposure can affect multiple genetic damage indicators. Even at an exposure concentration lower than 3.25 mg/m3, benzene exposure has genotoxicity. These data provide an important scientific basis for the further revision of occupational disease prevention strategies. At the same time, increased attention should be focused on the health monitoring of the occupational population exposed to benzene, and health management should be strengthened to improve the health of the occupational population.
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Affiliation(s)
- Yanhua Zhou
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, People's Republic of China
| | - Kun Wang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, People's Republic of China
| | - Boshen Wang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, People's Republic of China
| | - Yuepu Pu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, People's Republic of China
| | - Juan Zhang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, People's Republic of China.
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Li A, Sun Y, Wang T, Wang K, Wang T, Liu W, Li K, Au WW, Wang Z, Xia ZL. Effects of Micronucleus Frequencies and Mitochondrial DNA Copy Numbers among Benzene-Exposed Workers in China. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2020; 61:355-360. [PMID: 31899575 DOI: 10.1002/em.22354] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 12/25/2019] [Accepted: 12/30/2019] [Indexed: 06/10/2023]
Abstract
To provide a more comprehensive understanding of genotoxic effects from benzene exposure, its effects on induction of mitochondrial DNA copy number (MtDNAcn) and of micronucleus (MN) were investigated using peripheral blood from workers in China. Changes in mtDNAcn and MN were determined using quantitative real-time polymerase chain reaction (PCR) and cytokinesis-block micronucleus assays (CBMN), respectively, in 58 control and 174 benzene-exposed workers in Shanghai, China. Among the exposed workers, relative mtDNAcn increased and then decreased with increasing doses of benzene exposure. Significant and dose-dependent increase in MN frequencies were observed among the different exposure groups. In addition, the relative mtDNAcn were significantly associated with the MN frequencies in the low-level exposure group (P = 0.046), but not in the high dose groups. Therefore, the mechanisms for induction of MtDNAcn and MN by benzene may be similar from exposure to low doses but different from high doses. Similar increase of MN frequencies and MtDNAcn may be due to oxidative stress induced by benzene at low concentrations, while higher concentrations may start to initiate the cell death pathway. The pathway may be associated with excessive MtDNAcn which can initiate apoptosis while MN can continue to be induced. However, the differential mechanisms need to be investigated because they may represent different levels of risk for different health consequences. On the other hand, our data indicate that induction of MtDNAcn may be a sensitive genotoxic biomarker for workers with exposure to low dose of benzene. Environ. Mol. Mutagen. 61:355-360, 2020. © 2020 Wiley Periodicals, Inc.
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Affiliation(s)
- Anqi Li
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, and Key Laboratory of Public Health and Safety of Ministry of Education of China, Shanghai, China
| | - Yuan Sun
- Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Tongshuai Wang
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, and Key Laboratory of Public Health and Safety of Ministry of Education of China, Shanghai, China
| | - Kan Wang
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, and Key Laboratory of Public Health and Safety of Ministry of Education of China, Shanghai, China
| | - Tuanwei Wang
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, and Key Laboratory of Public Health and Safety of Ministry of Education of China, Shanghai, China
| | - Wuzhong Liu
- Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Keyong Li
- Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - William W Au
- University of Medicine, Pharmacy, Science and Technology, Tirgu Mures, Romania and University of Texas Medical Branch, Galveston, TX
| | - Zubing Wang
- Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Zhao-Lin Xia
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, and Key Laboratory of Public Health and Safety of Ministry of Education of China, Shanghai, China
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Absence of mutations in the human interferon alpha-2b gene in workers chronically exposed to ionising radiation. Arh Hig Rada Toksikol 2019; 70:104-108. [PMID: 31246567 DOI: 10.2478/aiht-2019-70-3202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Accepted: 03/01/2019] [Indexed: 11/21/2022] Open
Abstract
Individuals chronically exposed to low-level ionising radiation (IR) run the risk of harmful and long-term adverse health effects, including gene mutations and cancer development. The search for reliable biomarkers of IR exposure in human population is still of great interest, as they may have a great implementation potential for the surveillance of occupationally exposed individuals. In this context, and considering previous literature, this study aimed to identify mutations in the human interferon alpha-2b (hIFNα-2b) as a potential biomarker of occupational chronic low-dose IR exposure linking low-IR exposure to the effects on haematopoiesis and reduced immunity. The analysis was performed in the genomic DNA of 51 uranium miners and 38 controls from Kazakhstan, and in 21 medical radiology workers and 21 controls from Italy. hIFNα-2b gene mutations were analysed with the real-time polymerase chain reaction (PCR) or Sanger sequencing. However, none of the investigated workers had the hIFNα-2b mutation. This finding highlights the need for further research to identify biomarkers for early detection of health effects associated with chronic low-dose IR exposure.
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Kirsch-Volders M, Fenech M, Bolognesi C. Validity of the Lymphocyte Cytokinesis-Block Micronucleus Assay (L-CBMN) as biomarker for human exposure to chemicals with different modes of action: A synthesis of systematic reviews. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2018; 836:47-52. [DOI: 10.1016/j.mrgentox.2018.05.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 04/06/2018] [Accepted: 05/07/2018] [Indexed: 10/17/2022]
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Zhang GH, Lu Y, Ji BQ, Ren JC, Sun P, Ding S, Liao X, Liao K, Liu J, Cao J, Lan Q, Rothman N, Xia ZL. Do mutations in DNMT3A/3B affect global DNA hypomethylation among benzene-exposed workers in Southeast China?: Effects of mutations in DNMT3A/3B on global DNA hypomethylation. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2017; 58:678-687. [PMID: 28945286 DOI: 10.1002/em.22136] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 07/01/2017] [Accepted: 08/15/2017] [Indexed: 02/05/2023]
Abstract
Global DNA hypomethylation is commonly observed in benzene-exposed workers, but the underlying mechanisms remain unclear. We sought to discover the relationships among reduced white blood cell (WBC) counts, micronuclear (MN) frequency, and global DNA methylation to determine whether there were associations with mutations in DNMT3A/3B. Therefore, we recruited 410 shoe factory workers and 102 controls from Wenzhou in Zhenjiang Province. A Methylated DNA Quantification Kit was used to quantify global DNA methylation, and single nucleotide polymorphisms (SNPs) in DNMT3A (rs36012910, rs1550117, and R882) and DNMT3B (rs1569686, rs2424909, and rs2424913) were identified using the restriction fragment length polymorphism method. A multilinear regression analysis demonstrated that the benzene-exposed workers experienced significant global DNA hypomethylation compared with the controls (β = -0.51, 95% CI: -0.69 to -0.32, P < 0.001). The DNMT3A R882 mutant allele (R882H and R882C) (β = -0.25, 95% CI: -0.54 to 0.04, P = 0.094) and the DNMT3B rs2424909 GG allele (β = -0.37, 95% CI: -0.70 to -0.03, P = 0.031) were significantly associated with global DNA hypomethylation compared with the wild-type genotype after adjusting for confounding factors. Furthermore, the MN frequency in the R882 mutant allele (R882H and R882C) (FR = 1.18, 95% CI: 0.99 to 1.40, P = 0.054) was higher than that of the wild-type. The results imply that hypomethylation occurs due to benzene exposure and that mutations in DNMTs are significantly associated with global DNA methylation, which might have influenced the induction of MN following exposure to benzene. Environ. Mol. Mutagen. 58:678-687, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Guang-Hui Zhang
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Public Health, Xinxiang Medical University, 601 Jinsui Road, Xinxiang, 453003, China
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Ye Lu
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Bu-Qiang Ji
- Department of Hematology, Linyi People's Hospital, 27 Jifang Road, Linyi, 276003, China
| | - Jing-Chao Ren
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Public Health, Xinxiang Medical University, 601 Jinsui Road, Xinxiang, 453003, China
| | - Pin Sun
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Shibin Ding
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Public Health, Xinxiang Medical University, 601 Jinsui Road, Xinxiang, 453003, China
| | - Xiaoling Liao
- The Second Affiliated Hospital of Shantou University Medical College, Shantou university, Dongxiabei Road, Shantou, 515021, China
| | - Kaiju Liao
- Health Emergency Center, Chinese Centers for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China
| | - Jinyi Liu
- Institute of Toxicology, College of Preventive Medicine, Third Military Medical University, 30 Gao tanyan Chongqing, 400040, China
| | - Jia Cao
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Public Health, Xinxiang Medical University, 601 Jinsui Road, Xinxiang, 453003, China
- Institute of Toxicology, College of Preventive Medicine, Third Military Medical University, 30 Gao tanyan Chongqing, 400040, China
| | - Qing Lan
- Department of Health and Human Services (DHHS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland
| | - Nathaniel Rothman
- Department of Health and Human Services (DHHS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland
| | - Zhao-Lin Xia
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
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