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Zhou Y, Zhao Y, Xiao P, Wang P, Li Y, Xiong S, Liu X, Wang Y, Cai X, Yin N, Cui Y. Different effects of vitamin supplementation on arsenic bioaccessibility in contaminated soils using multiple in vitro methods and their relevant mechanisms. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 283:116808. [PMID: 39083865 DOI: 10.1016/j.ecoenv.2024.116808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 07/23/2024] [Accepted: 07/25/2024] [Indexed: 08/02/2024]
Abstract
Exposure to arsenic (As) induces adverse effects on human health. Vitamins B1, B6, and C, as indispensable micronutrients for humans, have been proven to influence the metabolism and toxicity of ingested As. To determine the effect of vitamins on health risks associated with soil exposure, As bioaccessibility in 14 soil samples using four in vitro methods of IVG, PBET, SBRC, and UBM was measured with the addition of vitamins B1, B6, and C. With vitamins B1 and B6 addition, the gastric As bioaccessibility in 14 soil samples was reduced by 1.14-3.52 and 1.14-5.02 fold, respectively, and instead an increase in the intestinal bioaccessibility was presented in some cases. Vitamin C supplementation yielded higher As bioaccessibility in the gastric (1.13-13.02 fold) and small intestinal (1.21-33.35 fold) phases, respectively. As evidenced by the X-ray absorption near-edge spectroscopy (XANES) and Fourier transform infrared spectroscopy (FTIR) analysis, arsenic dissolution was promoted by Fe-As and hindered by the formation of Al-As fractions. Soil As dissolution in the simulated gastrointestinal tract was strongly influenced by soil minerals and ingested vitamins, due to the chelation of arsenic with vitamins and soil minerals such as Fe (hydr)oxides, and Fe(III) reductive dissolution to enhance As release by vitamin C as an iron reducer. These findings will expand the knowledge of health risks of exposure to As-contaminated soils and nutritional interventions aiming at the mitigation of As toxicity.
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Affiliation(s)
- Yi Zhou
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Yongli Zhao
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Peng Xiao
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Pengfei Wang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Yunpeng Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Shimao Xiong
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Xiaotong Liu
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Yiting Wang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Xiaolin Cai
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China
| | - Naiyi Yin
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China.
| | - Yanshan Cui
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, PR China; Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, PR China.
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Frndak S, Yu G, Oulhote Y, Queirolo EI, Barg G, Vahter M, Mañay N, Peregalli F, Olson JR, Ahmed Z, Kordas K. Reducing the complexity of high-dimensional environmental data: An analytical framework using LASSO with considerations of confounding for statistical inference. Int J Hyg Environ Health 2023; 249:114116. [PMID: 36805184 PMCID: PMC10977870 DOI: 10.1016/j.ijheh.2023.114116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 02/19/2023]
Abstract
PURPOSE Frameworks for selecting exposures in high-dimensional environmental datasets, while considering confounding, are lacking. We present a two-step approach for exposure selection with subsequent confounder adjustment for statistical inference. METHODS We measured cognitive ability in 338 children using the Woodcock-Muñoz General Intellectual Ability (GIA) score, and potential associated features across several environmental domains. Initially, 111 variables theoretically associated with GIA score were introduced into a Least Absolute Shrinkage and Selection Operator (LASSO) in a 50% feature selection subsample. Effect estimates for selected features were subsequently modeled in linear regressions in a 50% inference (hold out) subsample, first adjusting for sex and age and later for covariates selected via directed acyclic graphs (DAGs). All models were adjusted for clustering by school. RESULTS Of the 15 LASSO selected variables, eleven were not associated with GIA score following our inference modeling approach. Four variables were associated with GIA scores, including: serum ferritin adjusted for inflammation (inversely), mother's IQ (positively), father's education (positively), and hours per day the child works on homework (positively). Serum ferritin was not in the expected direction. CONCLUSIONS Our two-step approach moves high-dimensional feature selection a step further by incorporating DAG-based confounder adjustment for statistical inference.
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Affiliation(s)
- Seth Frndak
- Department of Epidemiology and Environmental Health: University at Buffalo, The State University of New York, USA.
| | - Guan Yu
- Department of Biostatistics: University of Pittsburgh, USA
| | - Youssef Oulhote
- Department of Epidemiology, University of Massachusetts Amherst, USA
| | - Elena I Queirolo
- Department of Neuroscience and Learning, Catholic University of Uruguay, Montevideo, Uruguay
| | - Gabriel Barg
- Department of Neuroscience and Learning, Catholic University of Uruguay, Montevideo, Uruguay
| | - Marie Vahter
- Department of Environmental Medicine: Karolinska Institute, Sweden
| | - Nelly Mañay
- Faculty of Chemistry, University of the Republic of Uruguay (UDELAR), Montevideo, Uruguay
| | - Fabiana Peregalli
- Department of Neuroscience and Learning, Catholic University of Uruguay, Montevideo, Uruguay
| | - James R Olson
- Department of Epidemiology and Environmental Health: University at Buffalo, The State University of New York, USA
| | - Zia Ahmed
- Research and Education in eNergy, Environment and Water (RENEW) Institute University at Buffalo, The State University of New York, USA
| | - Katarzyna Kordas
- Department of Epidemiology and Environmental Health: University at Buffalo, The State University of New York, USA
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Rowan J, Kordas K, Queirolo EI, Vahter M, Mañay N, Peregalli F, Desai G. Contribution of household drinking water intake to arsenic and lead exposure among Uruguayan schoolchildren. CHEMOSPHERE 2022; 292:133525. [PMID: 34998846 PMCID: PMC10977869 DOI: 10.1016/j.chemosphere.2022.133525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 12/23/2021] [Accepted: 01/02/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Food and water are common exposure sources of arsenic and lead among children. Whereas dietary sources of these toxicants are fairly well-studied, the contribution of drinking water to toxicant exposures is not well characterized in many populations, particularly in the Global South. OBJECTIVE To assess the extent to which consumption of household drinking water contributes to arsenic and lead exposure among Uruguayan schoolchildren with low-level exposure. METHODS Children, aged 5-8 years, were enrolled into the Salud Ambiental Montevideo study during 2009-2013 from schools in Montevideo, Uruguay. Participants reported water intake as part of two 24-h dietary recalls. Concentrations of arsenic were measured in first morning void urine samples, and adjusted for urinary specific gravity. Lead concentrations were measured in venous blood samples. Drinking water samples were collected from participants' homes and toxicant concentrations measured. Data analyses involved a triangulation approach. First, multivariable linear regressions estimated the associations between toxicant exposure through drinking water, calculated for each child as the product of water intake and water toxicant concentration, and the respective toxicant biomarker concentrations among children with complete data on all variables (Sample A; n = 40). Second, regressions were repeated for participants with complete data on all variables except water intakes (Sample B; n = 195), after water intakes were imputed. Finally, models were constructed for participants of Sample B (n = 195) based on drinking water intakes assumed to be fixed at 25th, 50th, 75th percentile intakes of participants in sample A. RESULTS Toxicant exposure via drinking water intake was low. The triangulation approach revealed no associations between toxicant exposure through household water intake and the respective toxicant biomarker concentrations. CONCLUSION Studies with larger samples and repeated measures are needed to confirm these findings. Nevertheless, it appears that at low water toxicant concentrations, typical water consumption is not a major contributor to children's exposure.
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Affiliation(s)
- Jennifer Rowan
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA; Genesee County Health Department, Batavia, NY, USA
| | - Katarzyna Kordas
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA
| | - Elena I Queirolo
- Center for Research, Catholic University of Uruguay, Montevideo, Uruguay
| | - Marie Vahter
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nelly Mañay
- Faculty of Chemistry, University of the Republic of Uruguay, Montevideo, Uruguay
| | - Fabiana Peregalli
- Center for Research, Catholic University of Uruguay, Montevideo, Uruguay
| | - Gauri Desai
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA.
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Zhang Q, Zhang X, Li S, Liu H, Liu L, Huang Q, Hou Y, Liang X, Cui B, Zhang M, Xia L, Zhang L, Li C, Li J, Sun G, Tang N. Joint effect of urinary arsenic species and serum one-carbon metabolism nutrients on gestational diabetes mellitus: A cross-sectional study of Chinese pregnant women. ENVIRONMENT INTERNATIONAL 2021; 156:106741. [PMID: 34217037 DOI: 10.1016/j.envint.2021.106741] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/06/2021] [Accepted: 06/24/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Growing evidence indicates that arsenic (As) exposure can increase the risk of gestational diabetes mellitus (GDM). However, little is known about As species and GDM and the combined effect of As and one-carbon metabolism (OCM) on GDM. OBJECTIVES We aimed to examine the associations between As species and GDM and evaluate the potential interactions of folate, vitamin B12, and homocysteine (Hcy) with As species on GDM prevalence. METHOD We measured levels of arsenite (As3+), arsenate (As5+), dimethylarsinic acid (DMA), and arsenobetaine (AsB) species in urine and folate, vitamin B12, and Hcy in serum from 396 pregnant women in Tianjin, China. The diagnosis of GDM was based on an oral glucose tolerance test. Associations of As species in urine with GDM were evaluated using generalized linear models (GLMs) and Bayesian kernel machine regression (BKMR). Additive interactions of As and OCM with GDM were estimated by determining the relative excess risk due to interaction (RERI). RESULTS Of the 396 pregnant women, 89 were diagnosed with GDM. Continuous increases in urinary inorganic As were associated with GDM in the GLMs, with adjusted odds ratios of 2.12 (95% CI: 0.96, 4.71) for As3+, and 0.27 (95% CI: 0.07, 0.98) for As5+. The BKMR in estimating the exposure-response functions showed that As3+ and AsB were positively associated with GDM. However, As5+ showed a negative relationship with GDM. Although the additive interactions between As exposure and OCM indicators were not significant, we found that pregnant women with higher urinary As3+ and total As accompanied by lower serum vitamin B12 were more likely to have higher odds of GDM (3.12, 95% CI: 1.32, 7.38 and 3.10, 95% CI: 1.30, 7.38, respectively). CONCLUSIONS Our data suggest a positive relation between As3+ and GDM but a negative relation between As5+ and GDM. Potential additive interaction of As and OCM with GDM requires further investigation.
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Affiliation(s)
- 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
| | - Xumei Zhang
- Tianjin Key Laboratory of Environment, Nutrition and Public 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
| | - Shuying Li
- Department of Endocrinology, Tianjin Xiqing Hospital, Tianjin 300380, China
| | - Huihuan Liu
- Beichen District Women's and Children's Health Center, Tianjin 300400, 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
| | - Yaxing Hou
- 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
| | - Xiaoshan Liang
- Tianjin Key Laboratory of Environment, Nutrition and Public 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
| | - 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
| | - Liting Xia
- 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
| | - Liwen 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
| | - Chen Li
- 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
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, 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.
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Bae S, Kamynina E, Guetterman HM, Farinola AF, Caudill MA, Berry RJ, Cassano PA, Stover PJ. Provision of folic acid for reducing arsenic toxicity in arsenic-exposed children and adults. Cochrane Database Syst Rev 2021; 10:CD012649. [PMID: 34661903 PMCID: PMC8522704 DOI: 10.1002/14651858.cd012649.pub2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Arsenic is a common environmental toxin. Exposure to arsenic (particularly its inorganic form) through contaminated food and drinking water is an important public health burden worldwide, and is associated with increased risk of neurotoxicity, congenital anomalies, cancer, and adverse neurodevelopment in children. Arsenic is excreted following methylation reactions, which are mediated by folate. Provision of folate through folic acid supplements could facilitate arsenic methylation and excretion, thereby reducing arsenic toxicity. OBJECTIVES To assess the effects of provision of folic acid (through fortified foods or supplements), alone or in combination with other nutrients, in lessening the burden of arsenic-related health outcomes and reducing arsenic toxicity in arsenic-exposed populations. SEARCH METHODS In September 2020, we searched CENTRAL, MEDLINE, Embase, 10 other international databases, nine regional databases, and two trials registers. SELECTION CRITERIA Randomised controlled trials (RCTs) and quasi-RCTs comparing the provision of folic acid (at any dose or duration), alone or in combination with other nutrients or nutrient supplements, with no intervention, placebo, unfortified food, or the same nutrient or supplements without folic acid, in arsenic-exposed populations of all ages and genders. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. MAIN RESULTS We included two RCTs with 822 adults exposed to arsenic-contaminated drinking water in Bangladesh. The RCTs compared 400 µg/d (FA400) or 800 µg/d (FA800) folic acid supplements, given for 12 or 24 weeks, with placebo. One RCT, a multi-armed trial, compared FA400 plus creatine (3 g/d) to creatine alone. We judged both RCTs at low risk of bias in all domains. Due to differences in co-intervention, arsenic exposure, and participants' nutritional status, we could not conduct meta-analyses, and therefore, provide a narrative description of the data. Neither RCT reported on cancer, all-cause mortality, neurocognitive function, or congenital anomalies. Folic acid supplements alone versus placebo Blood arsenic. In arsenic-exposed individuals, FA likely reduces blood arsenic concentrations compared to placebo (2 studies, 536 participants; moderate-certainty evidence). For folate-deficient and folate-replete participants who received arsenic-removal water filters as a co-intervention, FA800 reduced blood arsenic levels more than placebo (percentage change (%change) in geometric mean (GM) FA800 -17.8%, 95% confidence intervals (CI) -25.0 to -9.8; placebo GM -9.5%, 95% CI -16.5 to -1.8; 1 study, 406 participants). In one study with 130 participants with low baseline plasma folate, FA400 reduced total blood arsenic (%change FA400 mean (M) -13.62%, standard error (SE) ± 2.87; placebo M -2.49%, SE ± 3.25), and monomethylarsonic acid (MMA) concentrations (%change FA400 M -22.24%, SE ± 2.86; placebo M -1.24%, SE ± 3.59) more than placebo. Inorganic arsenic (InAs) concentrations reduced in both groups (%change FA400 M -18.54%, SE ± 3.60; placebo M -10.61%, SE ± 3.38). There was little to no change in dimethylarsinic acid (DMA) in either group. Urinary arsenic. In arsenic-exposed individuals, FA likely reduces the proportion of total urinary arsenic excreted as InAs (%InAs) and MMA (%MMA) and increases the proportion excreted as DMA (%DMA) to a greater extent than placebo (2 studies, 546 participants; moderate-certainty evidence), suggesting that FA enhances arsenic methylation. In a mixed folate-deficient and folate-replete population (1 study, 352 participants) receiving arsenic-removal water filters as a co-intervention, groups receiving FA had a greater decrease in %InAs (within-person change FA400 M -0.09%, 95% CI -0.17 to -0.01; FA800 M -0.14%, 95% CI -0.21 to -0.06; placebo M 0.05%, 95% CI 0.00 to 0.10), a greater decrease in %MMA (within-person change FA400 M -1.80%, 95% CI -2.53 to -1.07; FA800 M -2.60%, 95% CI -3.35 to -1.85; placebo M 0.15%, 95% CI -0.37 to 0.68), and a greater increase in %DMA (within-person change FA400 M 3.25%, 95% CI 1.81 to 4.68; FA800 M 4.57%, 95% CI 3.20 to 5.95; placebo M -1.17%, 95% CI -2.18 to -0.17), compared to placebo. In 194 participants with low baseline plasma folate, FA reduced %InAs (%change FA400 M -0.31%, SE ± 0.04; placebo M -0.13%, SE ± 0.04) and %MMA (%change FA400 M -2.6%, SE ± 0.37; placebo M -0.71%, SE ± 0.43), and increased %DMA (%change FA400 M 5.9%, SE ± 0.82; placebo M 2.14%, SE ± 0.71), more than placebo. Plasma homocysteine: In arsenic-exposed individuals, FA400 likely reduces homocysteine concentrations to a greater extent than placebo (2 studies, 448 participants; moderate-certainty evidence), in the mixed folate-deficient and folate-replete population receiving arsenic-removal water filters as a co-intervention (%change in GM FA400 -23.4%, 95% CI -27.1 to -19.5; placebo -1.3%, 95% CI -5.3 to 3.1; 1 study, 254 participants), and participants with low baseline plasma folate (within-person change FA400 M -3.06 µmol/L, SE ± 3.51; placebo M -0.05 µmol/L, SE ± 4.31; 1 study, 194 participants). FA supplements plus other nutrient supplements versus nutrient supplements alone In arsenic-exposed individuals who received arsenic-removal water filters as a co-intervention, FA400 plus creatine may reduce blood arsenic concentrations more than creatine alone (%change in GM FA400 + creatine -14%, 95% CI -22.2 to -5.0; creatine -7.0%, 95% CI -14.8 to 1.5; 1 study, 204 participants; low-certainty evidence); may not change urinary arsenic methylation indices (FA400 + creatine: %InAs M 13.2%, SE ± 7.0; %MMA M 10.8, SE ± 4.1; %DMA M 76, SE ± 7.8; creatine: %InAs M 14.8, SE ± 5.5; %MMA M 12.8, SE ± 4.0; %DMA M 72.4, SE ±7.6; 1 study, 190 participants; low-certainty evidence); and may reduce homocysteine concentrations to a greater extent (%change in GM FA400 + creatinine -21%, 95% CI -25.2 to -16.4; creatine -4.3%, 95% CI -9.0 to 0.7; 1 study, 204 participants; low-certainty evidence) than creatine alone. AUTHORS' CONCLUSIONS There is moderate-certainty evidence that FA supplements may benefit blood arsenic concentration, urinary arsenic methylation profiles, and plasma homocysteine concentration versus placebo. There is low-certainty evidence that FA supplements plus other nutrients may benefit blood arsenic and plasma homocysteine concentrations versus nutrients alone. No studies reported on cancer, all-cause mortality, neurocognitive function, or congenital anomalies. Given the limited number of RCTs, more studies conducted in diverse settings are needed to assess the effects of FA on arsenic-related health outcomes and arsenic toxicity in arsenic-exposed adults and children.
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Affiliation(s)
- Sajin Bae
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Elena Kamynina
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | | | - Adetutu F Farinola
- Faculty of Public Health, Department of Human Nutrition and Dietetics, University of Ibadan, Ibadan, Nigeria
| | - Marie A Caudill
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Robert J Berry
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Sijko M, Kozłowska L. Influence of Dietary Compounds on Arsenic Metabolism and Toxicity. Part II-Human Studies. TOXICS 2021; 9:259. [PMID: 34678956 PMCID: PMC8541625 DOI: 10.3390/toxics9100259] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 09/25/2021] [Indexed: 01/25/2023]
Abstract
Exposure to various forms of arsenic (As), the source of which may be environmental as well as occupational exposure, is associated with many adverse health effects. Therefore, methods to reduce the adverse effects of As on the human body are being sought. Research in this area focuses, among other topics, on the dietary compounds that are involved in the metabolism of this element. Therefore, the aim of this review was to analyze the influence of methionine, betaine, choline, folic acid, vitamin B2, B6, B12 and zinc on the efficiency of inorganic As (iAs) metabolism and the reduction in the severity of the whole spectrum of disorders related to As exposure. In this review, which included 62 original papers (human studies) we present the current knowledge in the area. In human studies, these compounds (methionine, choline, folic acid, vitamin B2, B6, B12 and zinc) may increase iAs metabolism and reduce toxicity, whereas their deficiency may impair iAs metabolism and increase As toxicity. Taking into account the results of studies conducted in populations exposed to As, it is reasonable to carry out prophylactic activities. In particular nutritional education seems to be important and should be focused on informing people that an adequate intake of those dietary compounds potentially has a modulating effect on iAs metabolism, thus, reducing its adverse effects on the body.
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Affiliation(s)
- Monika Sijko
- Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 159c Nowoursynowska Street, 02-776 Warsaw, Poland
| | - Lucyna Kozłowska
- Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 159c Nowoursynowska Street, 02-776 Warsaw, Poland
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Venkatratnam A, Marable CA, Keshava AM, Fry RC. Relationships among Inorganic Arsenic, Nutritional Status CpG Methylation and microRNAs: A Review of the Literature. Epigenet Insights 2021; 14:2516865721989719. [PMID: 33615137 PMCID: PMC7868494 DOI: 10.1177/2516865721989719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 12/31/2020] [Indexed: 12/14/2022] Open
Abstract
Inorganic arsenic is a naturally occurring toxicant that poses a significant and persistent challenge to public health. The World Health Organization has identified many geographical regions where inorganic arsenic levels exceed safe limits in drinking water. Numerous epidemiological studies have associated exposure to inorganic arsenic with increased risk of adverse health outcomes. Randomized clinical trials have shown that nutritional supplementation can mitigate or reduce exacerbation of exposure-related effects. Although a growing body of evidence suggests that epigenetic status influences toxicity, the relationships among environmental exposure to arsenic, nutrition, and the epigenome are not well detailed. This review provides a comprehensive summary of findings from human, rodent, and in vitro studies highlighting these interactive relationships.
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Affiliation(s)
- Abhishek Venkatratnam
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Carmen A Marable
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Curriculum in Neuroscience, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Arjun M Keshava
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Rebecca C Fry
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Curriculum in Toxicology and Environmental Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Institute for Environmental Health Solutions, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Desai G, Millen AE, Vahter M, Queirolo EI, Peregalli F, Mañay N, Yu J, Browne RW, Kordas K. Associations of dietary intakes and serum levels of folate and vitamin B-12 with methylation of inorganic arsenic in Uruguayan children: Comparison of findings and implications for future research. ENVIRONMENTAL RESEARCH 2020; 189:109935. [PMID: 32980017 PMCID: PMC10927014 DOI: 10.1016/j.envres.2020.109935] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/07/2020] [Accepted: 07/08/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND In the human body, inorganic arsenic (iAs) is methylated via the one-carbon cycle to form monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA). Lower proportions of iAs and MMA, and higher proportions of DMA in urine indicate efficient methylation; formation of DMA is thought to detoxify iAs and MMA. Studies on folate, vitamin B-12 and iAs methylation yield mixed findings, depending on whether folate and vitamin B-12 were assessed from diet, supplements, or using a blood biomarker. OBJECTIVE First, to compare the associations of serum concentrations and estimated intake of folate and vitamin B-12 with indicators of iAs methylation. Second, to highlight the implications of these different B-vitamin assessment techniques on the emerging evidence of the impact of dietary modifications on iAs methylation. METHODS The study was conducted among ~7-year-old children from Montevideo, Uruguay. Serum folate and vitamin B-12 levels were measured on the Horiba ABX Pentra 400 analyzer; urinary arsenic was measured using High-Performance Liquid Chromatography on-line with Inductively Coupled Plasma Mass Spectrometry. Dietary intakes were assessed using the average of two 24-h dietary recalls. Linear regressions assessed the associations of serum levels, and dietary intakes of folate (n = 237) and vitamin B-12 (n = 217) with indicators of iAs methylation. Models were adjusted for age, sex, body mass index, total urinary arsenic, and rice intake. RESULTS Serum folate and vitamin B-12 levels were above the adequacy threshold for 99% of the participants. No associations were observed between serum folate, serum vitamin B-12, or vitamin B-12 intake and iAs methylation. Folate intake was inversely associated with urinary %MMA [β (95% confidence interval): -1.04 (-1.89, -0.18)]. CONCLUSION Additional studies on the role of B-vitamins in iAs methylation are needed to develop a deeper understanding of the implications of assessing folate and vitamin B-12 intake compared to the use of biomarkers. Where possible, both methods should be employed because they reflect different exposure windows and inherent measurement error, and if used individually, will likely continue to contribute to lack of consensus.
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Affiliation(s)
- Gauri Desai
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA.
| | - Amy E Millen
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA
| | | | - Elena I Queirolo
- Center for Research, Catholic University of Uruguay, Montevideo, Uruguay
| | - Fabiana Peregalli
- Center for Research, Catholic University of Uruguay, Montevideo, Uruguay
| | - Nelly Mañay
- Faculty of Chemistry, University of the Republic of Uruguay, Montevideo, Uruguay
| | - Jihnhee Yu
- Department of Biostatistics, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA
| | - Richard W Browne
- Department of Biotechnical and Clinical Laboratory Sciences, Jacobs School of Medicine and Biomedical Sciences, The State University of New York (SUNY) at Buffalo, NY, USA
| | - Katarzyna Kordas
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York (SUNY) at Buffalo, NY, USA
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