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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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Smith TJS, Navas-Acien A, Baker S, Kok C, Kruczynski K, Avolio LN, Pisanic N, Randad PR, Fry RC, Goessler W, van Geen A, Buckley JP, Rahman MH, Ali H, Haque R, Shaikh S, Siddiqua TJ, Schulze K, West KP, Labrique AB, Heaney CD. Anthropometric measures and arsenic methylation among pregnant women in rural northern Bangladesh. ENVIRONMENTAL RESEARCH 2023; 234:116453. [PMID: 37343752 PMCID: PMC10518461 DOI: 10.1016/j.envres.2023.116453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/02/2023] [Accepted: 06/17/2023] [Indexed: 06/23/2023]
Abstract
INTRODUCTION Arsenic methylation converts inorganic arsenic (iAs) to monomethyl (MMA) and dimethyl (DMA) arsenic compounds. Body mass index (BMI) has been positively associated with arsenic methylation efficiency (higher DMA%) in adults, but evidence in pregnancy is inconsistent. We estimated associations between anthropometric measures and arsenic methylation among pregnant women in rural northern Bangladesh. METHODS We enrolled pregnant women (n = 784) (median [IQR] gestational week: 14 [13, 15]) in Gaibandha District, Bangladesh from 2018 to 2019. Anthropometric measures were BMI, subscapular and triceps skinfold thicknesses, and mid-upper arm circumference (MUAC), fat area (MUAFA), and muscle area (MUAMA). Arsenic methylation measures were urinary iAs, MMA, and DMA divided by their sum and multiplied by 100 (iAs%, MMA%, and DMA%), primary methylation index (MMA/iAs; PMI), and secondary methylation index (DMA/MMA; SMI). In complete cases (n = 765 [97.6%]), we fitted linear, beta, and Dirichlet regression models to estimate cross-sectional differences in iAs%, MMA%, DMA%, PMI, and SMI per IQR-unit difference in each anthropometric measure, adjusting for drinking water arsenic, age, gestational age, education, living standards index, and plasma folate, vitamin B12, and homocysteine. RESULTS Median (IQR) BMI, subscapular skinfold thickness, triceps skinfold thickness, MUAC, MUAFA, and MUAMA were 21.5 (19.4, 23.8) kg/m2, 17.9 (13.2, 24.2) mm, 14.2 (10.2, 18.7) mm, 25.9 (23.8, 28.0) cm, 15.3 (10.5, 20.3) cm2, and 29.9 (25.6, 34.2) cm2, respectively. Median (IQR) iAs%, MMA%, DMA%, PMI, and SMI were 12.0 (9.3, 15.2)%, 6.6 (5.3, 8.3)%, 81.0 (77.1, 84.6)%, 0.6 (0.4, 0.7), and 12.2 (9.3, 15.7), respectively. In both unadjusted and adjusted linear models, all anthropometric measures were negatively associated with iAs%, MMA%, and PMI and positively associated with DMA% and SMI. For example, fully adjusted mean differences (95% CI) in DMA% per IQR-unit difference in BMI, subscapular skinfolds thickness, triceps skinfold thickness, MUAC, MUAFA, and MUAMA were 1.72 (1.16, 2.28), 1.58 (0.95, 2.21), 1.74 (1.11, 2.37), 1.45 (0.85, 2.06), 1.70 (1.08, 2.31), and 0.70 (0.13, 1.27) pp, respectively. CONCLUSIONS Anthropometric measures were positively associated with arsenic methylation efficiency among pregnant women in the early second trimester.
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Affiliation(s)
- Tyler J S Smith
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Sarah Baker
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caryn Kok
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kate Kruczynski
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lindsay N Avolio
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nora Pisanic
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Pranay R Randad
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rebecca C Fry
- Department of Environmental Sciences & Engineering, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Walter Goessler
- Institute of Chemistry - Analytical Chemistry, University of Graz, Graz, Austria
| | - Alexander van Geen
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
| | - Jessie P Buckley
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Md Hafizur Rahman
- JiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh
| | - Hasmot Ali
- JiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh
| | - Rezwanul Haque
- JiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh
| | - Saijuddin Shaikh
- JiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh
| | - Towfida J Siddiqua
- JiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh
| | - Kerry Schulze
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keith P West
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alain B Labrique
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christopher D Heaney
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Hu W, Li G, He J, Zhao H, Zhang H, Lu H, Liu J, Huang F. Association of exposure to multiple serum metals with the risk of chronic kidney disease in the elderly: a population-based case-control study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17245-17256. [PMID: 36194333 DOI: 10.1007/s11356-022-23303-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
In the world, chronic kidney disease (CKD) has been recognized as one of the critical public health problems, and the prevalence is higher in the elderly people. However, there are few studies on the association between exposure to multiple serum metal levels and CKD. A case-control study, we established, for elderly people in Anhui Province, China, to explore the effects of different metals and analyze the effect of mixed exposure on CKD. In this study, 287 cases of CKD and 287 controls were selected in the elderly health physical examination project in Tongling City, Anhui Province. Questionnaire survey, physical examination, and blood collection were conducted. Graphite furnace atomic absorption spectrometry (GFAAS) and inductively coupled plasma optical emission spectrometry (ICP-OES) were used to measure the concentration of serum metals. After selecting by least absolute shrinkage and selection operator (LASSO), 5 metals were brought into the multi-metal model. After adjusting all potential covariates additionally, the concentrations of lead (Pb), cadmium (Cd), cobalt (Co), and manganese (Mn) were significantly associated with CKD risk, whereas Pb, Se, and Cd had significant non-linearity with CKD. Besides, patients with highest quartiles of cobalt (Co), lead (Pb), and manganese (Mn) were 1.64, 1.39, and 0.64 times more possible to have CKD, respectively, as compared with the lowest levels. In the Bayesian kernel machine regression (BKMR) model, cadmium (Cd) had a combined effect with lead (Pb) possibly. This study suggested that the CKD risk was associated with exposure of multiple metals in elderly people. The underlying mechanisms of serum metals and CKD need more experimental and prospective studies to elucidate.
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Affiliation(s)
- Wenlei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Jialiu He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Huanhuan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Hanshuang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Huanhuan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Jianjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China.
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Wu L, Li H, Ye F, Wei Y, Li W, Xu Y, Xia H, Zhang J, Guo L, Zhang G, Chen F, Liu Q. As3MT-mediated SAM consumption, which inhibits the methylation of histones and LINE1, is involved in arsenic-induced male reproductive damage. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120090. [PMID: 36064055 DOI: 10.1016/j.envpol.2022.120090] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/13/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
Studies have demonstrated that arsenic (As) induces male reproductive injury, however, the mechanism remains unknown. The high levels of arsenic (3) methyltransferase (As3MT) promote As-induced male reproductive toxicity. For As-exposed mice, the germ cells in seminiferous tubules and sperm quality were reduced. Exposure to As caused lower S-adenosylmethionine (SAM) and 5-methylcytosine (5 mC) levels, histone and DNA hypomethylation, upregulation of long interspersed element class 1 (LINE1, or L1), defective repair of double-strand breaks (DSBs), and the arrest of meiosis, resulting in apoptosis of germ cells and lower litter size. For GC-2spd (GC-2) cells, As induced apoptosis, which was prevented by adding SAM or by reducing the expression of As3MT. The levels of LINE1, affected by SAM content, were involved in As-induced apoptosis. Furthermore, folic acid (FA) and vitamin B12 (VB12) supplements restored SAM, 5 mC, and LINE1 levels and blocked impairment of spermatogenesis and testes and lower litter size. Exposed to As, mice with As3MT knockdown showed less impairment of spermatogenesis and testes and greater litter size compared to As-exposed wild-type (WT) mice. Thus, the high As3MT levels induced by As consume SAM and block histone and LINE1 DNA methylation, elevating LINE1 expression and evoking impairment of spermatogenesis, which causes male reproductive damage. Overall, we have found a mechanism for As-induced male reproductive damage, which provides biological insights into the alleviation of reproductive injury induced by environmental factors.
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Affiliation(s)
- Lu Wu
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China; Suzhou Center for Disease Control and Prevention, Suzhou Institute for Advanced Study of Public Health, Gusu School, Nanjing Medical University, Suzhou, 215004, Jiangsu, People's Republic of China
| | - Han Li
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Fuping Ye
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Yongyue Wei
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Wenqi Li
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Yuan Xu
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China; Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Haibo Xia
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Jingshu Zhang
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China; Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Lianxian Guo
- Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, People's Republic of China
| | - Guiwei Zhang
- Shenzhen Academy of Metrology and Quality Inspection, Shenzhen, 518000, Guangdong, People's Republic of China
| | - Feng Chen
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Qizhan Liu
- Center for Global Health, China International Cooperation Center for Environment and Human Health, The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, People's Republic of China; Suzhou Center for Disease Control and Prevention, Suzhou Institute for Advanced Study of Public Health, Gusu School, Nanjing Medical University, Suzhou, 215004, Jiangsu, People's Republic of China.
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Wang R, Long T, He J, Xu Y, Wei Y, Zhang Y, He X, He M. Associations of multiple plasma metals with chronic kidney disease in patients with diabetes. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 244:114048. [PMID: 36063616 DOI: 10.1016/j.ecoenv.2022.114048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/14/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
As common contaminants, metals are non-negligible risk factors for diabetes and chronic kidney disease. However, whether there is an association between multiple metals exposure and incident chronic kidney disease (CKD) risk in patients with diabetes is unclear. We conducted a prospective study to evaluate these associations. In total, 3071 diabetics with baseline estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73 m2 from the Dongfeng-Tongji cohort were included. We measured baseline plasma concentrations of 23 metals and investigated the associations between plasma metal concentrations and CKD in diabetics using logistic regression, the least absolute shrinkage and selection operator (LASSO), and the Bayesian Kernel Machine Regression (BKMR) models. During average 4.6 years of follow-up, 457 diabetics developed CKD (14.9 %). The three models consistently found plasma levels of zinc, arsenic, and rubidium had a positive association with incident CKD risk in patients with diabetes, while titanium, cadmium, and lead had an inverse correlation. The results of BKMR showed a significant and positive overall effect of 23 metals on the risk of CKD, when all of the metals were above the 50th percentile as compared to the median value. In addition, potential interactions of zinc and arsenic, zinc and cadmium, zinc and lead, titanium and arsenic, and cadmium and lead on CKD risk were observed. In summary, we found significant associations of plasma titanium, zinc, arsenic, rubidium, cadmium, and lead with CKD in diabetes and interactions between these metals except for rubidium. Co-exposure to multiple metals was associated with increased CKD risk in diabetics.
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Affiliation(s)
- Ruixin Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Tengfei Long
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jia He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, Xinjiang, China
| | - Yali Xu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yue Wei
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Ying Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiangjing He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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Fang YJ, Lin KL, Lee JH, Luo KH, Chen TH, Yang CC, Chuang HY. Interaction between Single Nucleotide Polymorphisms (SNP) of Tumor Necrosis Factor-Alpha (TNF-α) Gene and Plasma Arsenic and the Effect on Estimated Glomerular Filtration Rate (eGFR). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074404. [PMID: 35410083 PMCID: PMC8999026 DOI: 10.3390/ijerph19074404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/04/2022]
Abstract
When poisons enter the human body, tumor necrosis factor (TNF-α) will increase and cause damage to tissues through oxidative stress or inflammatory reaction. In previous studies, arsenic (As) has known to cause many health problems. Some studies have shown that As exposure is negatively correlated with estimated glomerular filtration rate (eGFR), or with the prevalence of proteinuria. At present, there are few studies focusing on the effects of As exposure and TNF-α single nucleotide polymorphism (SNP) to eGFR; thus, this study was intended to explore the interactions between TNF-α SNPs and plasma As and their effects on eGFR. A cohort of 500 adults, aged 30 to 70 years, was randomly selected from Taiwan Biobank (TWB). We used the gene chip to screen out seven SNPs of the TNF-α gene and used the results, combined with questionnaires, biochemical tests, and stored plasma samples from the TWB, for the analysis of As by inductively coupled plasma mass spectrometry (ICP-MS). After adjustments for BMI, hypertension, hyperlipidemia, kidney stones, and smoking habits, multiple regression statistics were performed to explore the interaction between SNPs and plasma As with eGFR. In this sample of the general population, plasma As had a significant association with the decline of eGFR (β (SE) = −7.92 (1.70), p < 0.0001). TNF-α gene SNP rs1800629 had the property of regulating TNF-α, which interacts with plasma As; individuals with the AG type had a significantly lower eGFR than those with the GG type, by 9.59 mL/min/1.73 m2 (p < 0.05), which, regarding the dominant model, could infer that the A allele is a risk allele. SNP rs769177 had no interaction with plasma As; however, participants with the TT or TC type had significantly higher eGFR levels than the CC carriers, by 4.02 mL/min/1.73 m2 (p < 0.05). While rs769176 interacted with plasma As, if a person with the TC type had a higher plasma As concentration, that would sustain higher eGFR. This study found that certain SNPs of the TNF-α gene would be robust to the decline of eGFR caused by As exposure. Still, we need further research to confirm the protective regulation mechanism of these SNPs.
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Affiliation(s)
- Yi-Jen Fang
- Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-J.F.); (J.-H.L.)
- Digestive Disease Center, Show-Chwan Memorial Hospital, Changhua 500, Taiwan
| | - Kuan-Lin Lin
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan;
| | - Jyuhn-Hsiarn Lee
- Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-J.F.); (J.-H.L.)
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan
| | - Kuei-Hau Luo
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Tzu-Hua Chen
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan;
| | - Chen-Cheng Yang
- Department of Occupational Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan;
| | - Hung-Yi Chuang
- Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-J.F.); (J.-H.L.)
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Research Center for Environmental Medicine, Department of Public Health and Environmental Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Correspondence: ; Tel.: +886-7312-1101
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Wang M, Wang X, Liu J, Wang Z, Jin T, Zhu G, Chen X. The Association Between Cadmium Exposure and Osteoporosis: A Longitudinal Study and Predictive Model in a Chinese Female Population. Front Public Health 2021; 9:762475. [PMID: 34912770 PMCID: PMC8666659 DOI: 10.3389/fpubh.2021.762475] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 10/27/2021] [Indexed: 12/29/2022] Open
Abstract
Objective: The association between cadmium exposure and osteoporosis has been rarely reported in longitudinal studies. In this study, we investigated the association between osteoporosis and cadmium exposure and developed predictive models in women in a longitudinal cohort. Materials and Methods: In total, 488 women living in southeastern China were included at baseline (1998). Cadmium in blood (BCd) and urine (UCd) and also renal dysfunction biomarkers and bone mineral density (BMD) were determined both at baseline and follow-up. A total of 307 subjects were finally included after excluding subjects that did not have exposure or effect biomarkers. Osteoporosis was defined based on T score ≤ -2.5. Multiple linear regression and multivariate logistic analysis were used to show the association between baseline data and follow-up osteoporosis. Based on the identified associated factors, nomograms were developed to graphically calculate the individual risk of osteoporosis. Results: The baseline BMD in subjects with osteoporosis was significantly lower than that in subjects without osteoporosis (0.59 vs. 0.71 g/cm2, p < 0.05). The prevalence of low bone mass at baseline was higher in subjects with osteoporosis than in those without osteoporosis (23.5 vs. 7.2%, p = 0.001). Logistic regression analysis demonstrated that age [odds ratio (OR) = 1.21, 95% confidence interval (CI): 1.16-1.27], UCd (OR = 1.03, 95% CI: 1.002-1.06) and the presence of low BMD (OR = 3.84, 95% CI: 1.49-9.89) were independent risk factors for osteoporosis. For those subjects with normal baseline BMD, age, UCd, and baseline BMD were also independent risk factors for osteoporosis. The OR value was 1.16 (95% CI: 1.10-1.22) for age, 2.27 (95% CI: 1.03-4.99) for UCd > 10 μg/g creatinine, and 0.39 (95% CI: 0.21-0.72) for BMDbaseline. We developed two nomograms to predict the risk of osteoporosis. The area under the curve was 0.88 (95% CI: 0.84-0.92) for total population and was 0.88 (95% CI: 0.84-0.92) for subjects with normal baseline BMD, respectively. Conclusion: Baseline age, UCd, and BMD were associated with follow-up osteoporosis in women. Nomograms showed good performance in predicting the risk of osteoporosis.
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Affiliation(s)
- Miaomiao Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Xinru Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Jingjing Liu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Zhongqiu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Taiyi Jin
- Department of Occupational and Environmental Medicine, School of Public Health, Fudan University, Shanghai, China
| | - Guoying Zhu
- Institute of Radiation Medicine, Fudan University, Shanghai, China
| | - Xiao Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
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Zhao Q, Guo M, Hostetter TH, Chen H, Lin L, Hai X. Effect of renal impairment on arsenic accumulation, methylation capacity, and safety in acute promyelocytic leukemia (APL) patients treated with arsenic trioxide. Expert Rev Clin Pharmacol 2021; 14:1173-1182. [PMID: 34181499 DOI: 10.1080/17512433.2021.1938549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Background: Arsenic trioxide (ATO) was successfully applied to treat acute promyelocytic leukemia (APL).Methods: Inorganic arsenic (iAs), monomethylarsonic acid (MMAV) and dimethyarsinic acid (DMAV) in plasma of 143 APL patients with different renal function were determined. Arsenic methylation capacity was evaluated by iAs%, MMAV%, DMAV%, primary methylation index (PMI, MMAV/iAs), and secondary methylated index (SMI, DMAV/MMAV). Arsenic accumulation with administration frequency were explored. Moreover, safety assessments were performed.Results: Compared with normal renal function, MMAV and DMAV concentrations increased 1.5-4 fold in moderate and severe renal impairment groups, iAs increased 1.3-1.7 fold. APL patients with renal impairment showed lower iAs%, but higher DMAV% and PMI in plasma than those with normal renal function (P < 0.05). MMAV, DMAV, and tAs apparently accumulated with administration frequency in moderate and severe renal dysfunction groups. The incidence of QTc interval prolongation and liver injury increased with the increasing severity of renal impairment.Conclusion: Renal dysfunction may increase exposure to arsenic and arsenic accumulation and affect methylation capacity, then the clinical safety in APL patients treated with ATO. Arsenic-level monitoring and dosing regimen adjustment should be considered in APL patients with moderate and severe renal dysfunction.
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Affiliation(s)
- Qilei Zhao
- Department of Pharmacy, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Meihua Guo
- Department of Pharmacy, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Thomas H Hostetter
- School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Hongzhu Chen
- Department of Pharmacy, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Liwang Lin
- Department of Pharmacy, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Xin Hai
- Department of Pharmacy, First Affiliated Hospital, Harbin Medical University, Harbin, China
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9
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Chen X, Chen X, Wang X, Wang M, Liang Y, Zhu G, Jin T. The association between estimated glomerular filtration rate and cadmium exposure: An 8-year follow-up study. Int J Hyg Environ Health 2021; 235:113774. [PMID: 34052740 DOI: 10.1016/j.ijheh.2021.113774] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 05/07/2021] [Accepted: 05/16/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND The associations between cadmium exposure and chronic kidney disease have rarely been reported in longitudinal studies. In this study, we investigated the associations between the estimated glomerular filtration rate and cadmium exposure in a cross-sectional study in a longitudinal cohort. MATERIALS AND METHODS In total, 790 subjects (≥35 years of age) living in southeastern China were included at 1998. Cadmium in blood (BCd) and urine (UCd) as well as renal dysfunction biomarkers, urinary N-acetyl-β d-glucosaminidase (UNAG) and albumin (UALB), were determined. 497 subjects were followed at 2006 and a total of 456 subjects were finally included after excluding subjects that did not have exposure or effects biomarkers. The BCd, UCd, UNAG and UALB were determined using baseline methods. At follow-up, the estimated glomerular filtration rate (eGFR) was computed using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Single nucleotide polymorphisms (SNPs) in metallothioneins 1A (MT1A) rs11076161 and MT2A rs28366003 in blood sample were detected using TaqMan allelic discrimination assays. RESULTS The median of UCd and BCd at baseline was 5.38 μg/g cr and 4.69 μg/L, respectively, and the median UCd and BCd at follow-up was 4.88 μg/g cr and 2.20 μg/L at follow-up. The mean eGFR at follow-up was 88.0 mL/min/1.73 m2 and 15 subjects had new onset of eGFR <60 mL/min/1.73 m2. The eGFR at follow-up was associated with baseline age (β = -0.66, 95% confidence interval (CI): 0.80 to -0.52), BCd (β = -0.46, 95% CI: 0.68 to -0.25) and UALB (β = -0.29, 95% CI: 0.41 to -0.16) after adjusting for confounders. Subgroup analysis in subjects who had low baseline UALB or subjects with or without hypertension showed similar results. A logistic regression model further showed that baseline BCd and UALB were independent risk factors for follow-up CKD. The odds ratios (ORs) were 1.09 (95% CI:1.03-1.16) for UALB, 1.16 (95% CI:1.01-1.33) for BCd, and 6.74 (0.87-29.63) for current hypertension. Baseline BCd, UALB and current hypertension were used to construct the nomogram. Linear discriminant analysis (LCA) showed that 87.6% of CKD was accurately predicted based on the three factors. CONCLUSION Baseline age, BCd and UALB were associated with follow-up eGFR, and baseline BCd and UALB were predictive factors for incidence of CKD.
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Affiliation(s)
- Xiao Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
| | - Xin Chen
- Department of Radiology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, #600 Yishan Road, Shanghai, 200233, China
| | - Xinru Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Miaomiao Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Yihuai Liang
- Department of Occupational and Environmental Medicine, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Guoying Zhu
- Institute of Radiation Medicine, Fudan University, Shanghai, 200032, China
| | - Taiyi Jin
- Department of Occupational and Environmental Medicine, School of Public Health, Fudan University, Shanghai, 200032, China.
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10
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Soler-Blasco R, Murcia M, Lozano M, Sarzo B, Esplugues A, Vioque J, Lertxundi N, Marina LS, Lertxundi A, Irizar A, Braeuer S, Goesler W, Ballester F, Llop S. Urinary arsenic species and methylation efficiency during pregnancy: Concentrations and associated factors in Spanish pregnant women. ENVIRONMENTAL RESEARCH 2021; 196:110889. [PMID: 33607098 DOI: 10.1016/j.envres.2021.110889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/02/2021] [Accepted: 02/11/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Arsenic (As) is considered to be toxic for humans, the main routes of exposure being through drinking water and the diet. Once ingested, inorganic arsenic can be methylated sequentially to monomethyl and dimethyl arsenicals. Several factors can affect both As exposure and methylation efficiency. OBJECTIVES To describe the urinary concentrations of the different As species and evaluate the methylation efficiency during pregnancy, as well as their associated factors in a birth cohort of pregnant Spanish women. METHODS Participants in this cross-sectional study were 1017 pregnant women from two areas of Spain who had taken part in the INMA (Environment and Childhood) project (2003-2008). Total As (organic and inorganic compounds) and its main metabolites (monomethylarsonic acid, [MMA], dimethylarsinic acid, [DMA], inorganic As [iAs]) and arsenobetaine [AB]) were measured in urine samples collected during the first trimester. Sociodemographic and dietary information was collected through questionnaires. Multivariate linear regression models were used to explore the association between As species concentrations and covariates. Arsenic methylation efficiency was determined through the percentages of the metabolites and using As methylation phenotypes, obtained from principal component analysis. RESULTS Median urine concentrations were 33.0, 21.6, 6.5, 0.35 and 0.33 μg/g creatinine for total As, AB, DMA, MMA and iAs, respectively. Daily consumption of rice and seafood during the first trimester of pregnancy were positively associated with the concentration of As species (i.e., β [CI95%] = 0.36 [0.09, 0.64] for rice and iAs, and 1.06 [0.68, 1.44] for seafood and AB). TAs, AB and iAs concentrations, and DMA and MMA concentrations were associated with legume and vegetable consumption, respectively. The medians of the percentage of As metabolites were 89.7 for %DMA, 5.1 for %MMA and 4.7 for %iAs. Non-smoker women and those with higher body mass index presented a higher methylation efficiency (denoted by a higher %DMA and lower %MMA). DISCUSSION Certain dietary, lifestyle, and environmental factors were observed to have an influence on both As species concentrations and methylation efficiency in our population. Further birth cohort studies in low exposure areas are necessary to improve knowledge about arsenic exposure, especially to inorganic forms, and its potential health impact during childhood.
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Affiliation(s)
- Raquel Soler-Blasco
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Mario Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Health Information Systems Analysis Service, Conselleria de Sanitat, Generalitat Valenciana, Valencia, Spain
| | - Manuel Lozano
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain
| | - Blanca Sarzo
- Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Valencia, Spain
| | - Ana Esplugues
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain
| | - Jesús Vioque
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010, Alicante, Spain
| | - Nerea Lertxundi
- Biodonostia Health Research Institute, San Sebastian, Spain; Faculty of Psychology of the University of the Basque Country, UPV/ EHU, San Sebastian, Spain
| | - Loreto Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Biodonostia Health Research Institute, San Sebastian, Spain; Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health of the University of the Basque Country, UPV/EHU, Leioa, Spain
| | - Amaia Irizar
- Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health of the University of the Basque Country, UPV/EHU, Leioa, Spain.
| | - Simone Braeuer
- Institute of Chemistry, University of Graz, Graz, Austria
| | - Walter Goesler
- Institute of Chemistry, University of Graz, Graz, Austria
| | - Ferran Ballester
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain
| | - Sabrina Llop
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
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11
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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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12
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Lin YJ, Hsiao JL, Hsu HT. Integration of biomonitoring data and reverse dosimetry modeling to assess population risks of arsenic-induced chronic kidney disease and urinary cancer. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 206:111212. [PMID: 32871517 DOI: 10.1016/j.ecoenv.2020.111212] [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: 06/22/2020] [Revised: 08/19/2020] [Accepted: 08/20/2020] [Indexed: 06/11/2023]
Abstract
Chronic exposure to inorganic arsenic (iAs) is associated with chronic kidney disease (CKD) and urinary cancer, but the risks are poorly understood. Human biomonitoring can serve as a tool to better quantify human exposure and to conduct risk assessment. We aimed to assess the population risks of CKD and urinary cancer due to iAs intake based on the blood arsenic concentrations of 601 participants in Taiwan. A physiologically based pharmacokinetic modeling-based reverse dosimetry was conducted to estimate the daily intakes of iAs (DIiAs). We performed the benchmark dose (BMD) modeling for CKD using participants' estimated glomerular filtration rate (eGFR) and the estimated DIiAs to derive a point of departure (POD). Margin of exposure (MOE) was used to characterize the risks. The population with eGFR values of <60 mL/min/1.73 m2 had significantly higher DIiAs (median: 3.20 μg/kg/day, 2.5th-97.5th percentiles: 2.35-4.67 μg/kg/day) than those with normal renal function (1.99, 1.22-3.42 μg/kg/day). The POD for CKD was 1.557 μg/kg/day, which could serve as a possible reference value for CKD risk assessment. The MOEs indicated that the CKD risk due to iAs intake may potentially be a cause for high concern for the population with reduced renal function. The iAs-induced urinary cancer risk may be a cause for moderate-to-high concern.
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Affiliation(s)
- Yi-Jun Lin
- Institute of Food Safety and Health Risk Assessment, National Yang-Ming University, Taipei, Taiwan
| | - Ju-Ling Hsiao
- Institute of Food Safety and Health Risk Assessment, National Yang-Ming University, Taipei, Taiwan
| | - Hui-Tsung Hsu
- Department of Public Health, China Medical University, Taichung, Taiwan.
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13
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Garnier R, Mathieu-Huart A, Ronga-Pezeret S, Nouyrigat E, Benoit P, Goullé JP, Granon C, Manel J, Manouchehri N, Nisse P, Normand JC, Roulet A, Simon F, Gabach P, Tournoud C. Exposition de la population française à l’arsenic inorganique. Identification de valeurs toxicologiques de référence. TOXICOLOGIE ANALYTIQUE ET CLINIQUE 2020. [DOI: 10.1016/j.toxac.2020.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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14
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Liu Y, Yuan Y, Xiao Y, Li Y, Yu Y, Mo T, Jiang H, Li X, Yang H, Xu C, He M, Guo H, Pan A, Wu T. Associations of plasma metal concentrations with the decline in kidney function: A longitudinal study of Chinese adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 189:110006. [PMID: 31812020 DOI: 10.1016/j.ecoenv.2019.110006] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 11/16/2019] [Accepted: 11/23/2019] [Indexed: 06/10/2023]
Abstract
Metals are widespread pollutants in the environment which have been reported to be associated with kidney dysfunction in many existing epidemiological studies. However, most of the studies are cross-sectional design and mainly focus on several toxic metals including arsenic, lead and cadmium. Therefore, we conducted this prospective study within the Dongfeng-Tongji cohort to evaluate the associations of plasma multiple metals with the decline in kidney function among Chinese middle-aged and elderly. In total, 1434 participants free of chronic diseases at baseline were included in analysis. We measured baseline plasma concentrations of 23 metals and calculated estimated glomerular filtration rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation based on serum creatinine, age, sex and ethnicity. Bonferroni correction was used for multiple testing to reduce the probability of a type I error. Principal component analysis was conducted to evaluate the combined effect of multiple metal co-exposure. Most of the plasma metal concentrations were within the literature reported reference values, whereas the concentration of lead and nickel exceeded the guideline value. We found that plasma concentrations of aluminum, arsenic, barium, lead, molybdenum, rubidium, strontium, vanadium and zinc were significantly associated with the decline in kidney function measured by annual eGFR decline, rapid renal function decline (defined as an annual decline in eGFR ≥ 5 mL/min/1.73 m2) or incident eGFR < 60 mL/min/1.73 m2, with the adjusted beta coefficients (95% CI) for annual eGFR decline 0.50 (0.30, 0.69), 0.98 (0.74, 1.23), 0.56 (0.32, 0.79), 0.21 (0.03, 0.39), 0.35 (0.16, 0.54), 0.94 (0.71, 1.17), 0.37 (0.15, 0.60), 0.78 (0.54, 1.02), and 0.74 (0.57, 0.91), respectively. The metals exposures were linked with increased risks of impaired kidney function. Associations of principal components representing these metals with the decline in kidney function were significant and suggest a possible additional health risk by co-exposure. Participants engaged in manufacturing had higher plasma levels of several metals compared with those who had been involved in management- or administration-related work. Our findings suggest that exposure to multiple metals contribute to the decline in kidney function among the middle-aged and elderly. Co-exposure to multiple metals may have synergetic effect on the kidney function. Further studies are warranted to confirm our findings and clarify the potential mechanisms.
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Affiliation(s)
- Yiyi Liu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Yu Yuan
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China.
| | - Yang Xiao
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Yizhun Li
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Yanqiu Yu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Tingting Mo
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Haijing Jiang
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Xiulou Li
- Department of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, 442000, PR China
| | - Handong Yang
- Department of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, 442000, PR China
| | - Chengwei Xu
- Department of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, 442000, PR China
| | - Meian He
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Huan Guo
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Tangchun Wu
- Department of Occupational and Environmental Health Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
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15
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Mitra A, Chatterjee S, Gupta DK. Environmental Arsenic Exposure and Human Health Risk. ADVANCES IN WATER SECURITY 2020. [DOI: 10.1007/978-3-030-21258-2_5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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16
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Xu Y, Zou Z, Liu Y, Wang Q, Sun B, Zeng Q, Liu Q, Zhang A. miR-191 is involved in renal dysfunction in arsenic-exposed populations by regulating inflammatory response caused by arsenic from burning arsenic-contaminated coal. Hum Exp Toxicol 2019; 39:37-46. [DOI: 10.1177/0960327119874423] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Chronic exposure to arsenic may result in the manifestation of damage in multiple organs or systems of the body. Arsenic-induced renal dysfunction has been determined, but their pathogenesis has not been fully examined. In this study, we measured the expression levels of miR-191 in plasma, the contents of pro-inflammatory (interleukin (IL)-6 and tumor necrosis factor alpha) and anti-inflammatory (IL-2 and transforming growth factor beta) cytokines, and renal dysfunction indicators (blood urea nitrogen, blood creatinine, uric acid, and cystatin C) in serum from control and arsenic poisoning populations and analyzed the relationship between the miR-191, cytokines, and renal dysfunction indicators. The results clearly show the alteration of miR-191 expression was significantly associated with arsenic-induced renal dysfunction. Overall, the association of miR-191, inflammatory response and renal dysfunction, is clearly supported by the current findings. In other words, miR-191 is involved in renal dysfunction in exposed populations by regulating inflammatory response caused by coal-burning arsenic. The study provides a scientific basis for further studies of the causes of the arsenic-induced renal dysfunction, the biological role of miR-191, and targeted prevention strategies.
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Affiliation(s)
- Y Xu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Z Zou
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Y Liu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Wang
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - B Sun
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Zeng
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Liu
- Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - A Zhang
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
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Bommarito PA, Beck R, Douillet C, Del Razo LM, Garcia-Vargas GG, Valenzuela OL, Sanchez-Peña LC, Styblo M, Fry RC. Evaluation of plasma arsenicals as potential biomarkers of exposure to inorganic arsenic. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2019; 29:718-729. [PMID: 30728485 PMCID: PMC6684877 DOI: 10.1038/s41370-019-0121-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 01/10/2019] [Accepted: 01/17/2019] [Indexed: 06/09/2023]
Abstract
Exposure to inorganic arsenic (iAs) remains a global public health problem. Urinary arsenicals are the current gold-standard for estimating both iAs exposure and iAs metabolism. However, the distribution of these arsenicals may differ between the urine and target organs. Instead, plasma arsenicals may better represent internal dose and capture target organ exposure to arsenicals. Drinking water iAs, plasma and urinary arsenicals were quantified in individuals living in the Zimapan and Lagunera regions of Mexico. The relationship between drinking water iAs and plasma arsenicals was examined using both Spearman correlations and multivariable linear regression models. In addition, the distribution of arsenicals in plasma and urine was examined and the association between plasma and urinary arsenicals was assessed using both Spearman correlations and multivariable linear regression models. Levels of iAs in drinking water were significantly associated with plasma arsenicals in unadjusted and adjusted analyses and the strength of these associations was similar to that of drinking water iAs and urinary arsenicals. These results suggest that plasma arsenicals are reliable biomarkers of iAs exposure via drinking water. However, there were notable differences between the profiles of arsenicals in the plasma and the urine. Key differences between the proportions of arsenicals in plasma and urine may indicate that urine and plasma arsenicals reflect different aspects of iAs toxicokinetics, including metabolism and excretion.
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Affiliation(s)
- Paige A Bommarito
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rowan Beck
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christelle Douillet
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Luz M Del Razo
- Departamento de Toxicologia, Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico, DF, Mexico
| | - Gonzalo-G Garcia-Vargas
- Facultdad de Medicina, Universidad Juarez del Estado de Durango, Gomez Palacio, Durango, Mexico
| | - Olga L Valenzuela
- Departamento de Toxicologia, Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico, DF, Mexico
| | - Luz C Sanchez-Peña
- Departamento de Toxicologia, Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Mexico, DF, Mexico
| | - Mirek Styblo
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Curriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Rebecca C Fry
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Curriculum in Toxicology and Environmental Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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18
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Zeng Q, Zou Z, Wang Q, Sun B, Liu Y, Liang B, Liu Q, Zhang A. Association and risk of five miRNAs with arsenic-induced multiorgan damage. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 680:1-9. [PMID: 31085440 DOI: 10.1016/j.scitotenv.2019.05.042] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/01/2019] [Accepted: 05/04/2019] [Indexed: 06/09/2023]
Abstract
Chronic exposure to arsenic remains a major environmental public health concern worldwide, affecting hundreds of millions of people. Arsenic-induced multiorgan damage and miRNA expression changes after arsenic exposure have been determined, but their associations and risks have not been fully examined. In this study, we measured the expression levels of five miRNAs in plasma from control and arsenic poisoned populations, and we analyzed the relationship between miRNAs and multiorgan damage. The results clearly show that the upregulation of miR-155 expression can increase the risk of arsenic induced skin damage (OR = 10.55; 95% CI: 6.02, 18.47); further, there is a link between the expression of miR-21 (OR = 11.84; 95% CI: 5.34, 26.28) and miR-145 (OR = 2.39; 95% CI: 1.61, 3.55) and liver damage, and miR-191 and kidney damage (OR = 3.65; 95% CI: 1.49, 8.93). In addition, we analyzed the diagnostic value of miRNAs associated with specific organ damage in arsenic-induced multiorgan damage. It was found that the miR-155 has a certain diagnostic value in arsenic-induced skin damage (AUC = 0.83), miR-21 and miR-145 have diagnostic value for liver damage (AUC = 0.80, 0.81) and miR-191 has diagnostic value for kidney damage (AUC = 0.83). This study provides the first comprehensive assessment of the association and risk of five miRNAs with arsenic-induced multiorgan damage. The study can provide a scientific basis for further understanding the causes of arsenic-induced multiorgan damage, identification of possible biological markers, and improvement of targeted prevention and control strategies.
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Affiliation(s)
- Qibing Zeng
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Zhonglan Zou
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Qingling Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Baofei Sun
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Yonglian Liu
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Bing Liang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Qizhan Liu
- Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Aihua Zhang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.
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19
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Moody EC, Coca SG, Sanders AP. Toxic Metals and Chronic Kidney Disease: a Systematic Review of Recent Literature. Curr Environ Health Rep 2019; 5:453-463. [PMID: 30338443 DOI: 10.1007/s40572-018-0212-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW Arsenic (As), cadmium (Cd), and lead (Pb) are ubiquitous toxicants with evidence of adverse kidney impacts at high exposure levels. There is less evidence whether environmental exposure to As, Cd, or Pb plays a role in development of chronic kidney disease (CKD). We conducted a systematic review to summarize the recent epidemiologic literature examining the relationship between As, Cd, or Pb with CKD. RECENT FINDINGS We included peer-reviewed studies published in English between January 2013 and April 2018 for As and Cd, and all dates prior to April 2018 for Pb. We imposed temporality requirements for both the definition of CKD (as per NKF-KDOQI guidelines) and environmental exposures prior to disease diagnosis. Our assessment included cohort, case-control or cross-sectional study designs that satisfied 5 inclusion criteria. We included a total of eight articles of which three, two, and four studies examined the effects of As, Cd, or Pb, respectively. Studies of As exposure consistently reported positive association with CKD incidence; studies of Pb exposure were mixed. We found little evidence of association between Cd exposure and CKD. Additional well-designed prospective cohort studies are needed and we present recommendations for future studies.
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Affiliation(s)
- Emily C Moody
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven G Coca
- Department of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison P Sanders
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Departments of Pediatrics & Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
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20
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Bommarito PA, Xu X, González-Horta C, Sánchez-Ramirez B, Ballinas-Casarrubias L, Luna RS, Pérez SR, Ávila JEH, García-Vargas GG, Del Razo LM, Stýblo M, Mendez MA, Fry RC. One-carbon metabolism nutrient intake and the association between body mass index and urinary arsenic metabolites in adults in the Chihuahua cohort. ENVIRONMENT INTERNATIONAL 2019; 123:292-300. [PMID: 30553202 PMCID: PMC6369528 DOI: 10.1016/j.envint.2018.12.004] [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: 09/12/2018] [Revised: 12/03/2018] [Accepted: 12/04/2018] [Indexed: 05/03/2023]
Abstract
BACKGROUND Exposure to inorganic arsenic (iAs) via drinking water is a serious global health threat. Various factors influence susceptibility to iAs-associated health outcomes, including differences in iAs metabolism. Previous studies have shown that obesity is associated with iAs metabolism. It has been hypothesized that this association can be explained by confounding from nutritional factors involved in one-carbon metabolism, such as folate or other B vitamins, whose intake may differ across BMI categories and is known be associated with iAs metabolism. However, no studies have explored whether this association is confounded by nutritional factors. METHODS We investigated the relationship between body mass index (BMI) and the distribution of urinary arsenic species in a cross-sectional cohort of 1166 adults living in Chihuahua, Mexico from 2008 to 2013. Nutrient intake related to one-carbon metabolism, including folate, vitamin B2, and vitamin B12, was assessed using a food frequency questionnaire developed for Mexican populations. Multivariable linear regression was used to estimate the association between BMI and the distribution of urinary arsenic metabolites. Effect modification by drinking water iAs level and sex was also examined. RESULTS After adjusting for potential confounders, including age, educational attainment, smoking, alcohol consumption, seafood consumption, water iAs, and sex, BMI was negatively associated with the proportion of urinary inorganic arsenic (%U-iAs) and urinary monomethylated arsenic (%U-MMAs) and positively associated with urinary dimethylated arsenic (%U-DMAs). This relationship was not influenced by additional adjustment for folate, vitamin B2, or vitamin B12 intake. Additionally, there was significant effect modification by both drinking water iAs level and sex. CONCLUSIONS This study provides further evidence for an association between BMI and arsenic metabolism. However, contrary to previous hypotheses, these results suggest that this association is not confounded by the intake of micronutrients involved in one-carbon metabolism.
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Affiliation(s)
- Paige A Bommarito
- Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Xiaofan Xu
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Carmen González-Horta
- Facultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Chihuahua, Mexico.
| | | | | | | | | | | | - Gonzalo G García-Vargas
- Facultad de Medicina, Universidad Juárez del Estado de Durango, Gómez Palacio, Durango, Mexico
| | - Luz M Del Razo
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico.
| | - Mirek Stýblo
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Curriculum in Toxicology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Michelle A Mendez
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Rebecca C Fry
- Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Curriculum in Toxicology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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21
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Oyagbemi AA, Omobowale TO, Asenuga ER, Abiola JO, Adedapo AA, Yakubu MA. Kolaviron attenuated arsenic acid induced-cardiorenal dysfunction via regulation of ROS, C-reactive proteins (CRP), cardiac troponin I (CTnI) and BCL2. J Tradit Complement Med 2018; 8:396-409. [PMID: 29992111 PMCID: PMC6035312 DOI: 10.1016/j.jtcme.2017.05.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 04/24/2017] [Accepted: 05/11/2017] [Indexed: 01/03/2023] Open
Abstract
Arsenic acid is one of the abundant environmental pollutants present in soil, water and the air. Undoubtedly, it has found its way to the food chain in which humans and animals are the final targets thereby causing arrays of disease conditions including cardiovascular and renal dysfunction. Hence, the use of phytochemicals present in medicinal plants has gained global acceptance as chemotherapeutic agents that can prevent, ameliorate, reverse or treat diseases. From our study, arsenic acid intoxication led to significant increase in heart rate (HR), QRS, together with prolonged QT and QTc interval. However, Kolaviron (KV) at the dosage of 100 and 200 mg/kg body weight reversed the aforementioned electrocardiographic (ECG) changes. KV pre-treatment also ameliorated cardiorenal dysfunction via significant reduction in cardiac and renal markers of oxidative stress such as malondialdehyde, hydrogen peroxide generation, myeloperoxidase activity and nitric oxide contents. Immunohistochemistry revealed expressions of renal C-reactive proteins (CRP) and expressions of anti-apoptotic protein BCL2 in KV treated rats. Furthermore, cardiac troponin I (CTnI) expressions were lower in KV treated rats. Taken together, KV mitigated arsenic-acid induced cardiovascular dysfunction via up-regulation of antioxidant defense system and down-regulation of inflammatory and apoptotic signaling pathways.
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Affiliation(s)
- Ademola Adetokunbo Oyagbemi
- Department of Veterinary Physiology, Biochemistry and Pharmacology, Faculty of Veterinary Medicine, University of Ibadan, Nigeria
| | | | | | - John Olusoji Abiola
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Nigeria
| | - Adeolu Alex Adedapo
- Department of Veterinary Physiology, Biochemistry and Pharmacology, Faculty of Veterinary Medicine, University of Ibadan, Nigeria
| | - Momoh Audu Yakubu
- Department of Environmental & Interdisciplinary Sciences, College of Science, Engineering & Technology, NSB303, Vascular Biology Unit, Centre for Cardiovascular Diseases, COPHS, Texas Southern University, Houston, TX, USA
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22
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Farzan SF, Howe CG, Zens MS, Palys T, Channon JY, Li Z, Chen Y, Karagas MR. Urine Arsenic and Arsenic Metabolites in U.S. Adults and Biomarkers of Inflammation, Oxidative Stress, and Endothelial Dysfunction: A Cross-Sectional Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:127002. [PMID: 29373859 PMCID: PMC5963594 DOI: 10.1289/ehp2062] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 11/13/2017] [Accepted: 11/15/2017] [Indexed: 05/21/2023]
Abstract
BACKGROUND Arsenic (As) exposure has been associated with increased risk for cardiovascular disease (CVD) and with biomarkers of potential CVD risk and inflammatory processes. However, few studies have evaluated the effects of As on such biomarkers in U.S. populations, which are typically exposed to low to moderate As concentrations. OBJECTIVES We investigated associations between As exposures and biomarkers relevant to inflammation, oxidative stress, and CVD risk in a subset of participants from the New Hampshire Health Study, a population with low to moderate As exposure (n=418). METHODS Associations between toenail As, total urine As (uAs), and %uAs metabolites [monomethyl (%uMMAV), dimethyl (%uDMAV), and inorganic (%iAs) species] and plasma biomarkers, including soluble plasma vascular and cellular adhesion molecules (VCAM-1 and ICAM-1, respectively), matrix metalloproteinase-9 (MMP-9), tumor necrosis factor-α, plasminogen activator inhibitor-1 (PAI-1), and urinary oxidative stress marker 15-F2t-isoprostane (15-F2t-IsoP), were evaluated using linear regression models. RESULTS Covariate-adjusted estimates of associations with a doubling of urinary As suggested an 8.8% increase in 15-F2t-IsoP (95% CI: 3.2, 14.7), and a doubling of toenail As was associated with a 1.7% increase in VCAM-1 (95% CI: 0.2, 3.2). Additionally, a 5% increase in %uMMA was associated with a 7.9% increase in 15-F2t-IsoP (95% CI: 2.1, 14.1), and a 5% increase in %uDMA was associated with a 2.98% decrease in 15-F2t-IsoP [(95% CI: -6.1, 0.21); p=0.07]. However, in contrast with expectations, a doubling of toenail As was associated with a 2.3% decrease (95% CI: -4.3, -0.3) in MMP-9, and a 5% increase in %uMMA was associated with a 7.7% decrease (95% CI: -12.6, -2.5) in PAI-1. CONCLUSION In a cross-sectional study of U.S. adults, we observed some positive associations of uAs and toenail As concentrations with biomarkers potentially relevant to CVD pathogenesis and inflammation, and evidence of a higher capacity to metabolize inorganic As was negatively associated with a marker of oxidative stress. https://doi.org/10.1289/EHP2062.
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Affiliation(s)
- Shohreh F Farzan
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Caitlin G Howe
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Michael S Zens
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Thomas Palys
- Center for Molecular Epidemiology at Dartmouth, Dartmouth Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Jacqueline Y Channon
- Department of Microbiology and Immunology and Norris Cotton Cancer Center, Dartmouth Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
- Norris Cotton Cancer Center, Dartmouth–Hitchcock Medical Center, Dartmouth Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Zhigang Li
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Yu Chen
- Department of Population Health, New York University School of Medicine, New York, New York, USA
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
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23
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Grau-Pérez M, Kuo CC, Spratlen M, Thayer KA, Mendez MA, Hamman RF, Dabelea D, Adgate JL, Knowler WC, Bell RA, Miller FW, Liese AD, Zhang C, Douillet C, Drobná Z, Mayer-Davis EJ, Styblo M, Navas-Acien A. The Association of Arsenic Exposure and Metabolism With Type 1 and Type 2 Diabetes in Youth: The SEARCH Case-Control Study. Diabetes Care 2017; 40:46-53. [PMID: 27810988 PMCID: PMC5180459 DOI: 10.2337/dc16-0810] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 10/13/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Little is known about arsenic and diabetes in youth. We examined the association of arsenic with type 1 and type 2 diabetes in the SEARCH for Diabetes in Youth Case-Control (SEARCH-CC) study. Because one-carbon metabolism can influence arsenic metabolism, we also evaluated the potential interaction of folate and vitamin B12 with arsenic metabolism on the odds of diabetes. RESEARCH DESIGN AND METHODS Six hundred eighty-eight participants <22 years of age (429 with type 1 diabetes, 85 with type 2 diabetes, and 174 control participants) were evaluated. Arsenic species (inorganic arsenic [iAs], monomethylated arsenic [MMA], dimethylated arsenic [DMA]), and one-carbon metabolism biomarkers (folate and vitamin B12) were measured in plasma. We used the sum of iAs, MMA, and DMA (∑As) and the individual species as biomarkers of arsenic concentrations and the relative proportions of the species over their sum (iAs%, MMA%, DMA%) as biomarkers of arsenic metabolism. RESULTS Median ∑As, iAs%, MMA%, and DMA% were 83.1 ng/L, 63.4%, 10.3%, and 25.2%, respectively. ∑As was not associated with either type of diabetes. The fully adjusted odds ratios (95% CI), rescaled to compare a difference in levels corresponding to the interquartile range of iAs%, MMA%, and DMA%, were 0.68 (0.50-0.91), 1.33 (1.02-1.74), and 1.28 (1.01-1.63), respectively, for type 1 diabetes and 0.82 (0.48-1.39), 1.09 (0.65-1.82), and 1.17 (0.77-1.77), respectively, for type 2 diabetes. In interaction analysis, the odds ratio of type 1 diabetes by MMA% was 1.80 (1.25-2.58) and 0.98 (0.70-1.38) for participants with plasma folate levels above and below the median (P for interaction = 0.02), respectively. CONCLUSIONS Low iAs% versus high MMA% and DMA% was associated with a higher odds of type 1 diabetes, with a potential interaction by folate levels. These data support further research on the role of arsenic metabolism in type 1 diabetes, including the interplay with one-carbon metabolism biomarkers.
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Affiliation(s)
- Maria Grau-Pérez
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD .,Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY
| | - Chin-Chi Kuo
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Kidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan
| | - Miranda Spratlen
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kristina A Thayer
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Michelle A Mendez
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Richard F Hamman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - William C Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Ronny A Bell
- Wake Forest School of Medicine, Winston-Salem, NC
| | - Frederick W Miller
- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Chongben Zhang
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Christelle Douillet
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Zuzana Drobná
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC.,Department of Biological Sciences, North Carolina State University, Raleigh, NC
| | - Elizabeth J Mayer-Davis
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC.,Deparment of Medicine, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Miroslav Styblo
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD .,Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD
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24
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Cortés-Arriagada D, Toro-Labbé A. A theoretical investigation of the removal of methylated arsenic pollutants with silicon doped graphene. RSC Adv 2016. [DOI: 10.1039/c6ra03813a] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Density functional theory calculations show the ability of silicon embedded graphene for the removal of methylated arsenic(iii, v) pollutants.
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Affiliation(s)
- Diego Cortés-Arriagada
- Nucleus Millennium Chemical Processes and Catalysis
- Laboratorio de Química Teórica Computacional (QTC)
- Departamento de Química-Física
- Facultad de Química
- Pontificia Universidad Católica de Chile
| | - Alejandro Toro-Labbé
- Nucleus Millennium Chemical Processes and Catalysis
- Laboratorio de Química Teórica Computacional (QTC)
- Departamento de Química-Física
- Facultad de Química
- Pontificia Universidad Católica de Chile
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