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Schrenk D, Bignami M, Bodin L, Chipman JK, del Mazo J, Grasl‐Kraupp B, Hogstrand C, Hoogenboom L(R, Leblanc J, Nebbia CS, Nielsen E, Ntzani E, Petersen A, Sand S, Vleminckx C, Wallace H, Barregård L, Benford D, Broberg K, Dogliotti E, Fletcher T, Rylander L, Abrahantes JC, Gómez Ruiz JÁ, Steinkellner H, Tauriainen T, Schwerdtle T. Update of the risk assessment of inorganic arsenic in food. EFSA J 2024; 22:e8488. [PMID: 38239496 PMCID: PMC10794945 DOI: 10.2903/j.efsa.2024.8488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024] Open
Abstract
The European Commission asked EFSA to update its 2009 risk assessment on arsenic in food carrying out a hazard assessment of inorganic arsenic (iAs) and using the revised exposure assessment issued by EFSA in 2021. Epidemiological studies show that the chronic intake of iAs via diet and/or drinking water is associated with increased risk of several adverse outcomes including cancers of the skin, bladder and lung. The CONTAM Panel used the benchmark dose lower confidence limit based on a benchmark response (BMR) of 5% (relative increase of the background incidence after adjustment for confounders, BMDL05) of 0.06 μg iAs/kg bw per day obtained from a study on skin cancer as a Reference Point (RP). Inorganic As is a genotoxic carcinogen with additional epigenetic effects and the CONTAM Panel applied a margin of exposure (MOE) approach for the risk characterisation. In adults, the MOEs are low (range between 2 and 0.4 for mean consumers and between 0.9 and 0.2 at the 95th percentile exposure, respectively) and as such raise a health concern despite the uncertainties.
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Liang X, Guo G, Wang Y, Wang M, Chen X, Zhang J, Li S, Liu L, Huang Q, Cui B, Zhang M, Sun G, Tang N, Zhang X, Zhang Q. Arsenic metabolism, N6AMT1 and AS3MT single nucleotide polymorphisms, and their interaction on gestational diabetes mellitus in Chinese pregnant women. ENVIRONMENTAL RESEARCH 2023; 221:115331. [PMID: 36681142 DOI: 10.1016/j.envres.2023.115331] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) in N6AMT1 and AS3MT are associated with arsenic (As) metabolism, and efficient As methylation capacity has been associated with diabetes. However, little is known about the gene-As interaction on gestational diabetes mellitus (GDM). OBJECTIVE This study aimed to explore the individual and combined effects of N6AMT1 and AS3MT SNPs with As metabolism on GDM. METHODS A cross-sectional study was performed among 385 Chinese pregnant women (86 GDM and 299 Non-GDM). Four SNPs in N6AMT1 (rs1997605 and rs1003671) and AS3MT (rs1046778 and rs11191453) were genotyped. Urinary inorganic arsenic (iAs), monomethylarsonic acid (MMA), and dimethylarsinic acid (DMA) were determined, and the percentages of As species (iAs%, MMA%, and DMA%) were calculated to assess the efficiency of As metabolism. RESULTS Pregnant women with N6AMT1 rs1997605 AA genotype had lower iAs% (B: 2.11; 95% CI: 4.08, -0.13) and MMA% (B: 0.21; 95% CI: 0.39, -0.04) than pregnant women with GG genotype. The AS3MT rs1046778 and rs11191453 C alleles were negatively associated with iAs% and MMA% but positively associated with DMA%. Higher urinary MMA% was significantly associated with a lower risk of GDM (OR: 0.54; 95% CI: 0.30, 0.97). The A allele in N6AMT1 rs1997605 (OR: 0.46; 95% CI: 0.26, 0.79) was associated with a decreased risk of GDM. The additive interactions between N6AMT1 rs1997605 GG genotypes and lower iAs% (AP: 0.50; 95% CI: 0.01, 0.99) or higher DMA% (AP: 0.52; 95% CI: 0.04, 0.99) were statistically significant. Similar additive interactions were also found between N6AMT1 rs1003671 GG genotypes and lower iAs% or higher DMA%. CONCLUSIONS Genetic variants in N6AMT1 and efficient As metabolism (indicated by lower iAs% and higher DMA%) can interact to influence GDM occurrence synergistically in Chinese pregnant women.
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Affiliation(s)
- Xiaoshan Liang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Guanshuai Guo
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Yiyun Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Meng Wang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Jingran Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Shuying Li
- Department of Endocrinology, Tianjin Xiqing Hospital, Tianjin, 300380, China
| | - Liangpo Liu
- School of Public Health, Shanxi Medical University, Taiyuan, 030001 China
| | - Qingyu Huang
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Bo Cui
- Institute of Environmental and Operational Medicine, Academy of Military Medical Sciences, Tianjin, 300050, China
| | - Ming Zhang
- Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, 518020, China
| | - Guifan Sun
- Key Laboratory of Arsenic-related Biological Effects and Prevention and Treatment in Liaoning Province, School of Public Health, China Medical University, Shenyang, 110122, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xumei Zhang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
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Karachaliou C, Sgourou A, Kakkos S, Kalavrouziotis I. Arsenic exposure promotes the emergence of cardiovascular diseases. REVIEWS ON ENVIRONMENTAL HEALTH 2022; 37:467-486. [PMID: 34253004 DOI: 10.1515/reveh-2021-0004] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/11/2021] [Indexed: 06/13/2023]
Abstract
A large number of studies conducted in the past decade 2010-2020 refer to the impact of arsenic (As) exposure on cardiovascular risk factors. The arsenic effect on humans is complex and mainly depends on the varying individual susceptibilities, its numerous toxic expressions and the variation in arsenic metabolism between individuals. In this review we present relevant data from studies which document the association of arsenic exposure with various biomarkers, the effect of several genome polymorphisms on arsenic methylation and the underling molecular mechanisms influencing the cardiovascular pathology. The corresponding results provide strong evidence that high and moderate-high As intake induce oxidative stress, inflammation and vessel endothelial dysfunction that are associated with increased risk for cardiovascular diseases (CVDs) and in particular hypertension, myocardial infarction, carotid intima-media thickness and stroke, ventricular arrhythmias and peripheral arterial disease. In addition, As exposure during pregnancy implies risks for blood pressure abnormalities among infants and increased mortality rates from acute myocardial infarction during early adulthood. Low water As concentrations are associated with increased systolic, diastolic and pulse pressure, coronary heart disease and incident stroke. For very low As concentrations the relevant studies are few. They predict a risk for myocardial infarction, stroke and ischemic stroke and incident CVD, but they are not in agreement regarding the risk magnitude.
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Affiliation(s)
- Christiana Karachaliou
- School of Science and Technology, Lab. of Sustainable Waste Technology Management, Hellenic Open University, Patras, Greece
| | - Argyro Sgourou
- School of Science and Technology, Biology Lab, Hellenic Open University, Patras, Greece
| | - Stavros Kakkos
- Department of Vascular Surgery, Medical School of Patras, University of Patras, Patras, Greece
| | - Ioannis Kalavrouziotis
- School of Science and Technology, Lab. of Sustainable Waste Technology Management, Hellenic Open University, Patras, Greece
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Abstract
PURPOSE OF REVIEW At elevated levels, the essential element manganese (Mn) is neurotoxic and increasing evidence indicates that environmental Mn exposure early in life negatively affects neurodevelopment. In this review, we describe how underlying genetics may confer susceptibility to elevated Mn concentrations and how the epigenetic effects of Mn may explain the association between Mn exposure early in life and its toxic effects later in life. RECENT FINDINGS Common polymorphisms in the Mn transporter genes SLC30A10 and SLC39A8 seem to have a large impact on intracellular Mn levels and, in turn, neurotoxicity. Genetic variation in iron regulatory genes may to lesser extent also influence Mn levels and toxicity. Recent studies on Mn and epigenetic mechanisms indicate that Mn-related changes in DNA methylation occur early in life. One human and two animal studies found persistent changes from in utero exposure to Mn but whether these changes have functional effects remains unknown. Genetics seems to play a major role in susceptibility to Mn toxicity and should therefore be considered in risk assessment. Mn appears to interfere with epigenetic processes, potentially leading to persistent changes in developmental programming, which warrants further study.
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Chernoff M, Tong L, Demanelis K, Vander Griend D, Ahsan H, Pierce BL. Genetic Determinants of Reduced Arsenic Metabolism Efficiency in the 10q24.32 Region Are Associated With Reduced AS3MT Expression in Multiple Human Tissue Types. Toxicol Sci 2021; 176:382-395. [PMID: 32433756 DOI: 10.1093/toxsci/kfaa075] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Approximately 140 million people worldwide are exposed to inorganic arsenic through contaminated drinking water. Chronic exposure increases risk for cancers as well as cardiovascular, respiratory, and neurologic diseases. Arsenic metabolism involves the AS3MT (arsenic methyltransferase) gene, and arsenic metabolism efficiency (AME, measured as relative concentrations of arsenic metabolites in urine) varies among individuals. Inherited genetic variation in the 10q24.32 region, containing AS3MT, influences AME, but the mechanisms remain unclear. To better understand these mechanisms, we use tissue-specific expression data from GTEx (Genotype-tissue Expression project) to identify cis-eQTLs (expression quantitative trait loci) for AS3MT and other nearby genes. We combined these data with results from a genome-wide association study of AME using "colocalization analysis," to determine if 10q24.32 SNPs (single nucleotide polymorphisms) that affect AME also affect expression of AS3MT or nearby genes. These analyses identified cis-eQTLs for AS3MT in 38 tissue types. Colocalization results suggest that the casual variant represented by AME lead SNP rs4919690 impacts expression of AS3MT in 13 tissue types (> 80% probability). Our results suggest this causal SNP also regulates/coregulates expression of nearby genes: BORCS7 (43 tissues), NT5C2 (2 tissues), CYP17A1-AS1 (1 tissue), and RP11-724N1.1 (1 tissue). The rs4919690 allele associated with decreased AME is associated with decreased expression of AS3MT (and other coregulated genes). Our study provides a potential biological mechanism for the association between 10q24.32 variation and AME and suggests that the causal variant, represented by rs4919690, may impact AME (as measured in urine) through its effects on arsenic metabolism occurring in multiple tissue types.
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Affiliation(s)
- Meytal Chernoff
- The Department of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637 - 1447.,The Interdisciplinary Scientist Training Program, The University of Chicago, Chicago, Illinois 60637
| | - Lin Tong
- The Department of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637 - 1447
| | - Kathryn Demanelis
- The Department of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637 - 1447
| | - Donald Vander Griend
- The Department of Pathology, The University of Illinois at Chicago, Chicago, Illinois 60612
| | - Habib Ahsan
- The Department of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637 - 1447
| | - Brandon L Pierce
- The Department of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637 - 1447.,The Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637
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Abuawad A, Bozack AK, Saxena R, Gamble MV. Nutrition, one-carbon metabolism and arsenic methylation. Toxicology 2021; 457:152803. [PMID: 33905762 PMCID: PMC8349595 DOI: 10.1016/j.tox.2021.152803] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/20/2021] [Accepted: 04/22/2021] [Indexed: 12/16/2022]
Abstract
Exposure to arsenic (As) is a major public health concern globally. Inorganic As (InAs) undergoes hepatic methylation to form monomethyl (MMAs)- and dimethyl (DMAs)-arsenical species, facilitating urinary As elimination. MMAsIII is considerably more toxic than either InAsIII or DMAsV, and a higher proportion of MMAs in urine has been associated with risk for a wide range of adverse health outcomes. Efficiency of As methylation differs substantially between species, between individuals, and across populations. One-carbon metabolism (OCM) is a biochemical pathway that provides methyl groups for the methylation of As, and is influenced by folate and other micronutrients, such as vitamin B12, choline, betaine and creatine. A growing body of evidence has demonstrated that OCM-related micronutrients play a critical role in As methylation. This review will summarize observational epidemiological studies, interventions, and relevant experimental evidence examining the role that OCM-related micronutrients have on As methylation, toxicity of As, and risk for associated adverse health-related outcomes. There is fairly robust evidence supporting the impact of folate on As methylation, and some evidence from case-control studies indicating that folate nutritional status influences risk for As-induced skin lesions and bladder cancer. However, the potential for folate to be protective for other As-related health outcomes, and the potential beneficial effects of other OCM-related micronutrients on As methylation and risk for health outcomes are less well studied and warrant additional research.
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Affiliation(s)
- Ahlam Abuawad
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Anne K Bozack
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Roheeni Saxena
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Mary V Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
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7
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Delgado DA, Chernoff M, Huang L, Tong L, Chen L, Jasmine F, Shinkle J, Cole SA, Haack K, Kent J, Umans J, Best LG, Nelson H, Griend DV, Graziano J, Kibriya MG, Navas-Acien A, Karagas MR, Ahsan H, Pierce BL. Rare, Protein-Altering Variants in AS3MT and Arsenic Metabolism Efficiency: A Multi-Population Association Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:47007. [PMID: 33826413 PMCID: PMC8041273 DOI: 10.1289/ehp8152] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 01/15/2021] [Accepted: 03/15/2021] [Indexed: 05/03/2023]
Abstract
BACKGROUND Common genetic variation in the arsenic methyltransferase (AS3MT) gene region is known to be associated with arsenic metabolism efficiency (AME), measured as the percentage of dimethylarsinic acid (DMA%) in the urine. Rare, protein-altering variants in AS3MT could have even larger effects on AME, but their contribution to AME has not been investigated. OBJECTIVES We estimated the impact of rare, protein-coding variation in AS3MT on AME using a multi-population approach to facilitate the discovery of population-specific and shared causal rare variants. METHODS We generated targeted DNA sequencing data for the coding regions of AS3MT for three arsenic-exposed cohorts with existing data on arsenic species measured in urine: Health Effects of Arsenic Longitudinal Study (HEALS, n = 2,434 ), Strong Heart Study (SHS, n = 868 ), and New Hampshire Skin Cancer Study (NHSCS, n = 666 ). We assessed the collective effects of rare (allele frequency < 1 % ), protein-altering AS3MT variants on DMA%, using multiple approaches, including a test of the association between rare allele carrier status (yes/no) and DMA% using linear regression (adjusted for common variants in 10q24.32 region, age, sex, and population structure). RESULTS We identified 23 carriers of rare-protein-altering AS3MT variant across all cohorts (13 in HEALS and 5 in both SHS and NHSCS), including 6 carriers of predicted loss-of-function variants. DMA% was 6-10% lower in carriers compared with noncarriers in HEALS [β = - 9.4 (95% CI: - 13.9 , - 4.8 )], SHS [β = - 6.9 (95% CI: - 13.6 , - 0.2 )], and NHSCS [β = - 8.7 (95% CI: - 15.6 , - 2.2 )]. In meta-analyses across cohorts, DMA% was 8.7% lower in carriers [β = - 8.7 (95% CI: - 11.9 , - 5.4 )]. DISCUSSION Rare, protein-altering variants in AS3MT were associated with lower mean DMA%, an indicator of reduced AME. Although a small percentage of the population (0.5-0.7%) carry these variants, they are associated with a 6-10% decrease in DMA% that is consistent across multiple ancestral and environmental backgrounds. https://doi.org/10.1289/EHP8152.
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Affiliation(s)
- Dayana A. Delgado
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Meytal Chernoff
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Lei Huang
- Center for Research Informatics, UChicago, Chicago, Illinois, USA
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Lin Chen
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Farzana Jasmine
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Justin Shinkle
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Shelley A. Cole
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Karin Haack
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Jack Kent
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Jason Umans
- Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Lyle G. Best
- Missouri Breaks Industries Research, Inc., Timber Lake, South Dakota, USA
| | - Heather Nelson
- School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Donald Vander Griend
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Joseph Graziano
- Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Muhammad G. Kibriya
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
| | - Ana Navas-Acien
- Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
- Department of Human Genetics, UChicago, Chicago, Illinois, USA
- Comprehensive Cancer Center, UChicago, Chicago, Illinois, USA
- Department of Medicine, UChicago, Chicago, Illinois, USA
| | - Brandon L. Pierce
- Department of Public Health Sciences, University of Chicago (UChicago), Chicago, Illinois, USA
- Department of Human Genetics, UChicago, Chicago, Illinois, USA
- Comprehensive Cancer Center, UChicago, Chicago, Illinois, USA
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Ma L, Liang B, Yang Y, Chen L, Liu Q, Zhang A. hOGG1 promoter methylation, hOGG1 genetic variants and their interactions for risk of coal-borne arsenicosis: A case-control study. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2020; 75:103330. [PMID: 32004920 DOI: 10.1016/j.etap.2020.103330] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Revised: 01/17/2020] [Accepted: 01/20/2020] [Indexed: 06/10/2023]
Abstract
To identify the effect of hOGG1 methylation, Ser326Cys polymorphism and their interactions on the risk of coal-borne arsenicosis, 113 coal-borne arsenicosis subjects and 55 reference subjects were recruited. Urinary arsenic contents were analyzed with ICP-MS. hOGG1 methylation and Ser326Cys polymorphism was measured by mehtylation-specific PCR and restriction fragment length polymorphism PCR in PBLCs, respectively. The results showed that the prevalence of methylated hOGG1 and variation genotype (326 Ser/Cys & 326 Cys/Cys) were increased with raised levels of urinary arsenic in arsenicosis subjects. Increased prevalence of methylated hOGG1 and variation genotype were associated with raised risk of arsenicosis. Moreover, the results revealed that variant genotype might increase the susceptibility to hOGG1 methylation. The interactions of methylated hOGG1 and variation genotype were also found to contribute to increased risk of arsenicosis. Taken together, hOGG1 hypermethylation, hOGG1 variants and their interactions might be potential biomarkers for evaluating risk of coal-borne arsenicosis.
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Affiliation(s)
- Lu Ma
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China.
| | - Bing Liang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China.
| | - Yuan Yang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China.
| | - Liyuan Chen
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China.
| | - Qizhan Liu
- The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, PR China.
| | - Aihua Zhang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China.
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9
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Scannell Bryan M, Sofer T, Mossavar-Rahmani Y, Thyagarajan B, Zeng D, Daviglus ML, Argos M. Mendelian randomization of inorganic arsenic metabolism as a risk factor for hypertension- and diabetes-related traits among adults in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort. Int J Epidemiol 2019; 48:876-886. [PMID: 30929011 PMCID: PMC6659367 DOI: 10.1093/ije/dyz046] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2019] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Hypertension and diabetes have been associated with inefficient arsenic metabolism, primarily through studies undertaken in populations exposed through drinking water. Recently, rice has been recognized as a source of arsenic exposure, but it remains unclear whether populations with high rice consumption but no known water exposure are at risk for the health problems associated with inefficient arsenic metabolism. METHODS The relationships between arsenic metabolism efficiency (% inorganic arsenic, % monomethylarsenate and % dimethylarsinate in urine) and three hypertension- and seven diabetes-related traits were estimated among 12 609 participants of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). A two-sample Mendelian randomization approach incorporated genotype-arsenic metabolism relationships from literature, and genotype-trait relationships from HCHS/SOL, with a mixed-effect linear model. Analyses were stratified by rice consumption and smoking. RESULTS Among never smokers with high rice consumption, each percentage point increase in was associated with increases of 1.96 mmHg systolic blood pressure (P = 0.034) and 1.85 mmHg inorganic arsenic diastolic blood pressure (P = 0.003). Monomethylarsenate was associated with increased systolic (1.64 mmHg/percentage point increase; P = 0.021) and diastolic (1.33 mmHg/percentage point increase; P = 0.005) blood pressure. Dimethylarsinate, a marker of efficient metabolism, was associated with lower systolic (-0.92 mmHg/percentage point increase; P = 0.025) and diastolic (-0.79 mmHg/percentage point increase; P = 0.004) blood pressure. Among low rice consumers and ever smokers, the results were consistent with no association. Evidence for a relationship with diabetes was equivocal. CONCLUSIONS Less efficient arsenic metabolism was associated with increased blood pressure among never smokers with high rice consumption, suggesting that arsenic exposure through rice may contribute to high blood pressure in the Hispanic/Latino community.
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Affiliation(s)
- Molly Scannell Bryan
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Tamar Sofer
- Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Einstein College of Medicine, Bronx, New York, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Maria Argos
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
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Gao S, Mostofa MG, Quamruzzaman Q, Rahman M, Rahman M, Su L, Hsueh YM, Weisskopf M, Coull B, Christiani DC. Gene-environment interaction and maternal arsenic methylation efficiency during pregnancy. ENVIRONMENT INTERNATIONAL 2019; 125:43-50. [PMID: 30703610 PMCID: PMC7592115 DOI: 10.1016/j.envint.2019.01.042] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 01/15/2019] [Accepted: 01/15/2019] [Indexed: 05/03/2023]
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) may influence arsenic methylation efficiency, affecting arsenic metabolism. Whether gene-environment interactions affect arsenic metabolism during pregnancy remains unclear, which may have implications for pregnancy outcomes. OBJECTIVE We aimed to investigate main effects as well as potential SNP-arsenic interactions on arsenic methylation efficiency in pregnant women. METHOD We recruited 1613 pregnant women in Bangladesh, and collected two urine samples from each participant, one at 4-16 weeks, and the second at 21-37 weeks of pregnancy. We determined the proportions of each arsenic metabolite [inorganic As (iAs)%, monomethylarsonic acid (MMA)%, and dimethylarsinic acid (DMA)%] from the total urinary arsenic level of each sample. A panel of 63 candidate SNPs was selected for genotyping based on their reported associations with arsenic metabolism (including in As3MT, N6AMT1, and GSTO2 genes). We used linear regression models to assess the association between each SNP and DMA% with an additive allelic assumption, as well as SNP-arsenic interaction on DMA%. These analyses were performed separately for two urine collection time-points to capture differences in susceptibility to arsenic toxicity. RESULT Intron variants for As3MT were associated with DMA%. rs9527 (β = -2.98%, PFDR = 0.008) and rs1046778 (β = 1.64%, PFDR = 0.008) were associated with this measure in the early gestational period; rs3740393 (β = 2.54%, PFDR = 0.002) and rs1046778 (β = 1.97%, PFDR = 0.003) in the mid-to-late gestational period. Further, As3MT, GSTO2, and N6AMT1 polymorphisms showed different effect sizes on DMA% conditional on arsenic exposure levels. However, SNP-arsenic interactions were not statistically significant after adjusting for false discovery rate (FDR). rs1048546 in N6AMT1 had the highest significance level in the SNP-arsenic interaction test during mid-to-late gestation (β = -1.8% vs. 1.4%, PGxE_FDR = 0.075). Finally, As3MT and As3MT/CNNM2 haplotypes were associated with DMA% at both time points. CONCLUSION We found that not all genetic associations reported in arsenic methylation efficiency replicate in pregnant women. Arsenic exposure level has a limited effect in modifying the association between genetic variation and arsenic methylation efficiency.
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Affiliation(s)
- Shangzhi Gao
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | | | | | - Mohammad Rahman
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Li Su
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yu-Mei Hsueh
- Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Marc Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brent Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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11
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Pierce BL, Tong L, Dean S, Argos M, Jasmine F, Rakibuz-Zaman M, Sarwar G, Islam MT, Shahriar H, Islam T, Rahman M, Yunus M, Lynch VJ, Oglesbee D, Graziano JH, Kibriya MG, Gamble MV, Ahsan H. A missense variant in FTCD is associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet 2019; 15:e1007984. [PMID: 30893314 PMCID: PMC6443193 DOI: 10.1371/journal.pgen.1007984] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 04/01/2019] [Accepted: 01/23/2019] [Indexed: 12/02/2022] Open
Abstract
Inorganic arsenic (iAs) is a carcinogen, and exposure to iAs via food and water is a global public health problem. iAs-contaminated drinking water alone affects >100 million people worldwide, including ~50 million in Bangladesh. Once absorbed into the blood stream, most iAs is converted to mono-methylated (MMA) and then di-methylated (DMA) forms, facilitating excretion in urine. Arsenic metabolism efficiency varies among individuals, in part due to genetic variation near AS3MT (arsenite methyltransferase; 10q24.32). To identify additional arsenic metabolism loci, we measured protein-coding variants across the human exome for 1,660 Bangladeshi individuals participating in the Health Effects of Arsenic Longitudinal Study (HEALS). Among the 19,992 coding variants analyzed exome-wide, the minor allele (A) of rs61735836 (p.Val101Met) in exon 3 of FTCD (formiminotransferase cyclodeaminase) was associated with increased urinary iAs% (P = 8x10-13), increased MMA% (P = 2x10-16) and decreased DMA% (P = 6x10-23). Among 2,401 individuals with arsenic-induced skin lesions (an indicator of arsenic toxicity and cancer risk) and 2,472 controls, carrying the low-efficiency A allele (frequency = 7%) was associated with increased skin lesion risk (odds ratio = 1.35; P = 1x10-5). rs61735836 is in weak linkage disequilibrium with all nearby variants. The high-efficiency/major allele (G/Valine) is human-specific and eliminates a start codon at the first 5´-proximal Kozak sequence in FTCD, suggesting selection against an alternative translation start site. FTCD is critical for catabolism of histidine, a process that generates one-carbon units that can enter the one-carbon/folate cycle, which provides methyl groups for arsenic metabolism. In our study population, FTCD and AS3MT SNPs together explain ~10% of the variation in DMA% and support a causal effect of arsenic metabolism efficiency on arsenic toxicity (i.e., skin lesions). In summary, this work identifies a coding variant in FTCD associated with arsenic metabolism efficiency, providing new evidence supporting the established link between one-carbon/folate metabolism and arsenic toxicity.
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Affiliation(s)
- Brandon L. Pierce
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States of America
- Department of Human Genetics, The University of Chicago, Chicago, IL, United States of America
- Comprehensive Cancer Center, The University of Chicago, Chicago, IL United States of America
| | - Lin Tong
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States of America
| | - Samantha Dean
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States of America
| | - Maria Argos
- Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, IL, United States of America
| | - Farzana Jasmine
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States of America
| | | | - Golam Sarwar
- UChicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
| | | | - Hasan Shahriar
- UChicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
| | - Tariqul Islam
- UChicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
| | - Mahfuzar Rahman
- UChicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
- Research and Evaluation Division, BRAC, Dhaka, Bangladesh
| | - Md. Yunus
- International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Vincent J. Lynch
- Department of Human Genetics, The University of Chicago, Chicago, IL, United States of America
| | - Devin Oglesbee
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, United States of America
| | - Joseph H. Graziano
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Muhammad G. Kibriya
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States of America
| | - Mary V. Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Habibul Ahsan
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States of America
- Department of Human Genetics, The University of Chicago, Chicago, IL, United States of America
- Comprehensive Cancer Center, The University of Chicago, Chicago, IL United States of America
- Department of Medicine, The University of Chicago, Chicago, IL, United States of America
- Institute for Population and Precision Health, The University of Chicago, Chicago, IL, United States of America
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12
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Balakrishnan P, Jones MR, Vaidya D, Tellez-Plaza M, Post WS, Kaufman JD, Bielinski SJ, Taylor K, Francesconi K, Goessler W, Navas-Acien A. Ethnic, Geographic, and Genetic Differences in Arsenic Metabolism at Low Arsenic Exposure: A Preliminary Analysis in the Multi-Ethnic Study of Atherosclerosis (MESA). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E1179. [PMID: 29874848 PMCID: PMC6025014 DOI: 10.3390/ijerph15061179] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 05/25/2018] [Accepted: 05/27/2018] [Indexed: 12/31/2022]
Abstract
We investigated the effect of candidate variants in AS3MT (arsenic (III) methyltransferase) with urinary arsenic metabolites and their principal components in a subset of 264 participants in the Multi-Ethnic Study of Atherosclerosis (MESA). Urinary arsenic species, including inorganic arsenic (iAs), monomethylarsonate (MMA), dimethylarsinate (DMA), and arsenobetaine (Ab), were measured using high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICPMS) and corrected for organic sources from seafood consumption by regressing Ab on arsenic species using a validated method. Principal components of arsenic metabolism were also used as independent phenotypes. We conducted linear regression of arsenic traits with allelic dosage of candidate single nucleotide polymorphisms (SNPs) rs12768205 (G > A), rs3740394 (A > G), and rs3740393 (G > C) measured using Illumina MetaboChip. Models were stratified by non-Hispanic white vs. all other race/ethnicity and adjusted for age, sex, arsenic exposure, study site, and population stratification. Consistent with previous studies, rs12768205 showed evidence for strongest association (non-Hispanic white: iAs% -0.14 (P 0.83), MMA% -0.66 (0.49), DMA% 0.81(0.49); other race/ethnicity: 0.13 (0.71), -1.21 (0.09), 1.08 (0.20)). No association, however, passed the strict Bonferroni p-value. This was a novel study among an ethnically diverse population exposed to low arsenic levels.
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Affiliation(s)
- Poojitha Balakrishnan
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA.
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
| | - Dhananjay Vaidya
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
| | - Maria Tellez-Plaza
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
- Fundación de Investigación Hospital Clínico de Valencia INCLIVA, Valencia 46010, Spain.
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA.
| | - Suzette J Bielinski
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
| | - Kent Taylor
- Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, CA 90502, USA.
| | | | - Walter Goessler
- Institute of Chemistry, University of Graz, 8010 Graz, Austria.
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
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13
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Bozack AK, Saxena R, Gamble MV. Nutritional Influences on One-Carbon Metabolism: Effects on Arsenic Methylation and Toxicity. Annu Rev Nutr 2018; 38:401-429. [PMID: 29799766 DOI: 10.1146/annurev-nutr-082117-051757] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Exposure to inorganic arsenic (InAs) via drinking water and/or food is a considerable worldwide problem. Methylation of InAs generates monomethyl (MMAsIII+V)- and dimethyl (DMAsIII+V)-arsenical species in a process that facilitates urinary As elimination; however, MMAs is considerably more toxic than either InAs or DMAs. Emerging evidence suggests that incomplete methylation of As to DMAs, resulting in increased MMAs, is associated with increased risk for a host of As-related health outcomes. The biochemical pathway that provides methyl groups for As methylation, one-carbon metabolism (OCM), is influenced by folate and other micronutrients, including choline and betaine. Individuals and species differ widely in their ability to methylate As. A growing body of research, including cell-culture, animal-model, and epidemiological studies, has demonstrated the role of OCM-related micronutrients in As methylation. This review examines the evidence that nutritional status and nutritional interventions can influence the metabolism and toxicity of As, with a primary focus on folate.
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Affiliation(s)
- Anne K Bozack
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA;
| | - Roheeni Saxena
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA;
| | - Mary V Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA;
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14
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Bhowmick S, Pramanik S, Singh P, Mondal P, Chatterjee D, Nriagu J. Arsenic in groundwater of West Bengal, India: A review of human health risks and assessment of possible intervention options. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 612:148-169. [PMID: 28850835 DOI: 10.1016/j.scitotenv.2017.08.216] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 08/15/2017] [Accepted: 08/20/2017] [Indexed: 05/03/2023]
Abstract
This paper reviews how active research in West Bengal has unmasked the endemic arsenism that has detrimental effects on the health of millions of people and their offspring. It documents how the pathways of exposure to this toxin/poison have been greatly expanded through intensive application of groundwater in agriculture in the region within the Green Revolution framework. A goal of this paper is to compare and contrast the similarities and differences in arsenic occurrence in West Bengal with those of other parts of the world and assess the unique socio-cultural factors that determine the risks of exposure to arsenic in local groundwater. Successful intervention options are also critically reviewed with emphasis on integrative strategies that ensure safe water to the population, proper nutrition, and effective ways to reduce the transfer of arsenic from soil to crops. While no universal model may be suited for the vast areas of the world affected with by natural contamination of groundwater with arsenic, we have emphasized community-specific sustainable options that can be adapted. Disseminating scientifically correct information among the population coupled with increased community level participation and education are recognized as necessary adjuncts for an engineering intervention to be successful and sustainable.
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Affiliation(s)
- Subhamoy Bhowmick
- Kolkata Zonal Center, CSIR-National Environmental Engineering Research Institute (NEERI), Kolkata, West Bengal 700107, India.
| | - Sreemanta Pramanik
- Kolkata Zonal Center, CSIR-National Environmental Engineering Research Institute (NEERI), Kolkata, West Bengal 700107, India
| | - Payel Singh
- Kolkata Zonal Center, CSIR-National Environmental Engineering Research Institute (NEERI), Kolkata, West Bengal 700107, India
| | - Priyanka Mondal
- Ceramic Membrane Division, CSIR-Central Glass and Ceramic Research Institute (CGCRI), Raja S.C. Mullick Road, Kolkata 700032, India
| | - Debashis Chatterjee
- Department of Chemistry, University of Kalyani, Kalyani, Nadia, West Bengal 741235, India
| | - Jerome Nriagu
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 109 Observatory Street, Ann Arbor, MI 48109-2029, USA
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15
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Paterni I, Granchi C, Minutolo F. Risks and benefits related to alimentary exposure to xenoestrogens. Crit Rev Food Sci Nutr 2018; 57:3384-3404. [PMID: 26744831 DOI: 10.1080/10408398.2015.1126547] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Xenoestrogens are widely diffused in the environment and in food, thus a large portion of human population worldwide is exposed to them. Among alimentary xenoestrogens, phytoestrogens (PhyEs) are increasingly being consumed because of their potential health benefits, although there are also important risks associated to their ingestion. Furthermore, other xenoestrogens that may be present in food are represented by other chemicals possessing estrogenic activities, that are commonly defined as endocrine disrupting chemicals (EDCs). EDCs pose a serious health concern since they may cause a wide range of health problems, starting from pre-birth till adult lifelong exposure. We herein provide an overview of the main classes of xenoestrogens, which are classified on the basis of their origin, their structures and their occurrence in the food chain. Furthermore, their either beneficial or toxic effects on human health are discussed in this review.
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Affiliation(s)
- Ilaria Paterni
- a Dipartimento di Farmacia , Università di Pisa , Pisa , Italy
| | | | - Filippo Minutolo
- a Dipartimento di Farmacia , Università di Pisa , Pisa , Italy.,b Centro Interdipartimentale di Ricerca "Nutraceutica e Alimentazione per la Salute," Università di Pisa , Pisa , Italy
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16
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Shao P, Duan X, Xu J, Tian J, Shi W, Gao S, Xu M, Cui F, Wang S. Heterogeneous activation of peroxymonosulfate by amorphous boron for degradation of bisphenol S. JOURNAL OF HAZARDOUS MATERIALS 2017; 322:532-539. [PMID: 27776864 DOI: 10.1016/j.jhazmat.2016.10.020] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 09/23/2016] [Accepted: 10/12/2016] [Indexed: 06/06/2023]
Abstract
Recently, tremendous efforts have been devoted to developing carbon-based metal-free catalysts as an alternative to metal-based catalysts for remediation of emerging contaminants. However, further investigations have demonstrated that the durability of carbocatalysts is poor. Therefore, it is extremely desirable to seek a novel metal-free catalyst with high efficiency and superb stability. Herein, we first discovered that amorphous boron (A-boron) can be used as a metal-free catalyst for peroxymonosulfate (PMS) activation to produce free radicals for effective degradation of bisphenol S (BPS), which is a newly-occurring estrogenic endocrine-disrupting chemical. It exhibited outstanding catalytic activity and superior stability as comparing to metal-based and metal-free carbon-based catalysts. Moreover, many other typical organic pollutants in water such as bisphenol F, sulfamethoxazole, rhodamine B and methyl orange can also be effectively decomposed in A-boron/PMS oxidative system. The effects of reaction parameters on BPS degradation were systematically investigated. The catalytic oxidation mechanism was proposed. The intriguing catalytic feature of A-boron discovered in this study will provide new opportunities for the future development of A-boron based materials with promising applications in water remediation.
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Affiliation(s)
- Penghui Shao
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Xiaoguang Duan
- Department of Chemical Engineering, Curtin University, GPO Box U1987, Perth, WA 6845, Australia
| | - Jun Xu
- Department of Civil Engineering and Architecture, Nanyang Normal University, Nanyang 473061, PR China; State Key Laboratory of Motor Vehicle Biofuel Technology, Nanyang 473000, PR China.
| | - Jiayu Tian
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China.
| | - Wenxin Shi
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Shanshan Gao
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Mingjun Xu
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Fuyi Cui
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Shaobin Wang
- Department of Chemical Engineering, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.
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17
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Balakrishnan P, Vaidya D, Franceschini N, Voruganti VS, Gribble MO, Haack K, Laston S, Umans JG, Francesconi KA, Goessler W, North KE, Lee E, Yracheta J, Best LG, MacCluer JW, Kent J, Cole SA, Navas-Acien A. Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS). ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:15-22. [PMID: 27352405 PMCID: PMC5226702 DOI: 10.1289/ehp251] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 03/27/2016] [Accepted: 05/19/2016] [Indexed: 05/18/2023]
Abstract
BACKGROUND Metabolism of inorganic arsenic (iAs) is subject to inter-individual variability, which is explained partly by genetic determinants. OBJECTIVES We investigated the association of genetic variants with arsenic species and principal components of arsenic species in the Strong Heart Family Study (SHFS). METHODS We examined variants previously associated with cardiometabolic traits (~ 200,000 from Illumina Cardio MetaboChip) or arsenic metabolism and toxicity (670) among 2,428 American Indian participants in the SHFS. Urine arsenic species were measured by high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS), and percent arsenic species [iAs, monomethylarsonate (MMA), and dimethylarsinate (DMA), divided by their sum × 100] were logit transformed. We created two orthogonal principal components that summarized iAs, MMA, and DMA and were also phenotypes for genetic analyses. Linear regression was performed for each phenotype, dependent on allele dosage of the variant. Models accounted for familial relatedness and were adjusted for age, sex, total arsenic levels, and population stratification. Single nucleotide polymorphism (SNP) associations were stratified by study site and were meta-analyzed. Bonferroni correction was used to account for multiple testing. RESULTS Variants at 10q24 were statistically significant for all percent arsenic species and principal components of arsenic species. The index SNP for iAs%, MMA%, and DMA% (rs12768205) and for the principal components (rs3740394, rs3740393) were located near AS3MT, whose gene product catalyzes methylation of iAs to MMA and DMA. Among the candidate arsenic variant associations, functional SNPs in AS3MT and 10q24 were most significant (p < 9.33 × 10-5). CONCLUSIONS This hypothesis-driven association study supports the role of common variants in arsenic metabolism, particularly AS3MT and 10q24. Citation: Balakrishnan P, Vaidya D, Franceschini N, Voruganti VS, Gribble MO, Haack K, Laston S, Umans JG, Francesconi KA, Goessler W, North KE, Lee E, Yracheta J, Best LG, MacCluer JW, Kent J Jr., Cole SA, Navas-Acien A. 2017. Association of cardiometabolic genes with arsenic metabolism biomarkers in American Indian communities: the Strong Heart Family Study (SHFS). Environ Health Perspect 125:15-22; http://dx.doi.org/10.1289/EHP251.
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Affiliation(s)
- Poojitha Balakrishnan
- Department of Environmental Health Sciences, and
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- The Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Dhananjay Vaidya
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- Clinical and Translational Research, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | | | - V. Saroja Voruganti
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina, USA
| | - Matthew O. Gribble
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Karin Haack
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Sandra Laston
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - Jason G. Umans
- MedStar Health Research Institute, Hyattsville, Maryland, USA
- Georgetown and Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | | | - Walter Goessler
- Institute of Chemistry - Analytical Chemistry, University of Graz, Austria
| | | | - Elisa Lee
- Center for American Indian Health Research, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Joseph Yracheta
- Missouri Breaks Industries Research, Inc., Timber Lake, South Dakota, USA
| | - Lyle G. Best
- Missouri Breaks Industries Research, Inc., Timber Lake, South Dakota, USA
| | - Jean W. MacCluer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Jack Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Shelley A. Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, and
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- The Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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18
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Xu X, Drobná Z, Voruganti VS, Barron K, González-Horta C, Sánchez-Ramírez B, Ballinas-Casarrubias L, Cerón RH, Morales DV, Terrazas FAB, Ishida MC, Gutiérrez-Torres DS, Saunders RJ, Crandell J, Fry RC, Loomis D, García-Vargas GG, Del Razo LM, Stýblo M, Mendez MA. Association Between Variants in Arsenic (+3 Oxidation State) Methyltranserase (AS3MT) and Urinary Metabolites of Inorganic Arsenic: Role of Exposure Level. Toxicol Sci 2016; 153:112-23. [PMID: 27370415 DOI: 10.1093/toxsci/kfw112] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Variants in AS3MT, the gene encoding arsenic (+3 oxidation state) methyltranserase, have been shown to influence patterns of inorganic arsenic (iAs) metabolism. Several studies have suggested that capacity to metabolize iAs may vary depending on levels of iAs exposure. However, it is not known whether the influence of variants in AS3MT on iAs metabolism also vary by level of exposure. We investigated, in a population of Mexican adults exposed to drinking water As, whether associations between 7 candidate variants in AS3MT and urinary iAs metabolites were consistent with prior studies, and whether these associations varied depending on the level of exposure. Overall, associations between urinary iAs metabolites and AS3MT variants were consistent with the literature. Referent genotypes, defined as the genotype previously associated with a higher percentage of urinary dimethylated As (DMAs%), were associated with significant increases in the DMAs% and ratio of DMAs to monomethylated As (MAs), and significant reductions in MAs% and iAs%. For 3 variants, associations between genotypes and iAs metabolism were significantly stronger among subjects exposed to water As >50 versus ≤50 ppb (water As X genotype interaction P < .05). In contrast, for 1 variant (rs17881215), associations were significantly stronger at exposures ≤50 ppb. Results suggest that iAs exposure may influence the extent to which several AS3MT variants affect iAs metabolism. The variants most strongly associated with iAs metabolism-and perhaps with susceptibility to iAs-associated disease-may vary in settings with exposure level.
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Affiliation(s)
- Xiaofan Xu
- *Department of Nutrition, Gillings School of Global Public Health
| | - Zuzana Drobná
- Department of Biological Sciences College of Sciences, North Carolina State University, North Carolina
| | | | - Keri Barron
- *Department of Nutrition, Gillings School of Global Public Health
| | - Carmen González-Horta
- Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México
| | - Blanca Sánchez-Ramírez
- Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México
| | - Lourdes Ballinas-Casarrubias
- Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México
| | | | | | | | - María C Ishida
- Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México
| | - Daniela S Gutiérrez-Torres
- Programa de Maestría en Ciencias en Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, México
| | - R Jesse Saunders
- *Department of Nutrition, Gillings School of Global Public Health
| | - Jamie Crandell
- Department of Biostatistics Gillings School of Global Public Health School of Nursing
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health and Curriculum in Toxicology, University of North Carolina, Chapel Hill, North Carolina
| | - Dana Loomis
- International Agency for Research of Cancer, Monographs Section, Lyon Cedex, France
| | - Gonzalo G García-Vargas
- Facultad de Medicina, Universidad Juárez del Estado de Durango, Gómez Palacio, Durango, México
| | - Luz M Del Razo
- **Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, México DF, México
| | - Miroslav Stýblo
- *Department of Nutrition, Gillings School of Global Public Health
| | - Michelle A Mendez
- *Department of Nutrition, Gillings School of Global Public Health Carolina Population Center and Lineberger Cancer Center, University of North Carolina, Chapel Hill, North Carolina
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19
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Jansen RJ, Argos M, Tong L, Li J, Rakibuz-Zaman M, Islam MT, Slavkovich V, Ahmed A, Navas-Acien A, Parvez F, Chen Y, Gamble MV, Graziano JH, Pierce BL, Ahsan H. Determinants and Consequences of Arsenic Metabolism Efficiency among 4,794 Individuals: Demographics, Lifestyle, Genetics, and Toxicity. Cancer Epidemiol Biomarkers Prev 2015; 25:381-90. [PMID: 26677206 DOI: 10.1158/1055-9965.epi-15-0718] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 11/18/2015] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Exposure to inorganic arsenic (iAs), a class I carcinogen, affects several hundred million people worldwide. Once absorbed, iAs is converted to monomethylated (MMA) and then dimethylated forms (DMA), with methylation facilitating urinary excretion. The abundance of each species in urine relative to their sum (iAs%, MMA%, and DMA%) varies across individuals, reflecting differences in arsenic metabolism capacity. METHODS The association of arsenic metabolism phenotypes with participant characteristics and arsenical skin lesions was characterized among 4,794 participants in the Health Effects of Arsenic Longitudinal Study (Araihazar, Bangladesh). Metabolism phenotypes include those obtained from principal component (PC) analysis of arsenic species. RESULTS Two independent PCs were identified: PC1 appears to represent capacity to produce DMA (second methylation step), and PC2 appears to represent capacity to convert iAs to MMA (first methylation step). PC1 was positively associated (P <0.05) with age, female sex, and BMI, while negatively associated with smoking, arsenic exposure, education, and land ownership. PC2 was positively associated with age and education but negatively associated with female sex and BMI. PC2 was positively associated with skin lesion status, while PC1 was not. 10q24.32/AS3MT region polymorphisms were strongly associated with PC1, but not PC2. Patterns of association for most variables were similar for PC1 and DMA%, and for PC2 and MMA% with the exception of arsenic exposure and SNP associations. CONCLUSIONS Two distinct arsenic metabolism phenotypes show unique associations with age, sex, BMI, 10q24.32 polymorphisms, and skin lesions. IMPACT This work enhances our understanding of arsenic metabolism kinetics and toxicity risk profiles.
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Affiliation(s)
- Rick J Jansen
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois
| | - Maria Argos
- Divison of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois
| | - Lin Tong
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois
| | - Jiabei Li
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois
| | | | | | - Vesna Slavkovich
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | | | - Ana Navas-Acien
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Faruque Parvez
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, New York University School of Medicine, New York, New York
| | - Mary V Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Joseph H Graziano
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Brandon L Pierce
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois. Department of Human Genetics and Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois.
| | - Habibul Ahsan
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois. Department of Human Genetics and Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois. Department of Medicine, The University of Chicago, Chicago, Illinois.
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