- Environmental Source of Arsenic Exposure
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Jin-Yong Chung, Seung-Do Yu, Young-Seoub Hong
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J Prev Med Public Health. 2014;47(5):253-257. Published online September 11, 2014
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DOI: https://doi.org/10.3961/jpmph.14.036
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- Arsenic is a ubiquitous, naturally occurring metalloid that may be a significant risk factor for cancer after exposure to contaminated drinking water, cigarettes, foods, industry, occupational environment, and air. Among the various routes of arsenic exposure, drinking water is the largest source of arsenic poisoning worldwide. Arsenic exposure from ingested foods usually comes from food crops grown in arsenic-contaminated soil and/or irrigated with arsenic-contaminated water. According to a recent World Health Organization report, arsenic from contaminated water can be quickly and easily absorbed and depending on its metabolic form, may adversely affect human health. Recently, the US Food and Drug Administration regulations for metals found in cosmetics to protect consumers against contaminations deemed deleterious to health; some cosmetics were found to contain a variety of chemicals including heavy metals, which are sometimes used as preservatives. Moreover, developing countries tend to have a growing number of industrial factories that unfortunately, harm the environment, especially in cities where industrial and vehicle emissions, as well as household activities, cause serious air pollution. Air is also an important source of arsenic exposure in areas with industrial activity. The presence of arsenic in airborne particulate matter is considered a risk for certain diseases. Taken together, various potential pathways of arsenic exposure seem to affect humans adversely, and future efforts to reduce arsenic exposure caused by environmental factors should be made.
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Spyros Golfinopoulos, Soterios Varnavas, Dimitrios Alexakis
Water.2021; 13(2): 224. CrossRef - Case Report of Cutaneous Squamous Cell Carcinoma at the Wrist Joint and the Public Health Crisis of Arsenicosis
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International Journal of Environmental Research and Public Health.2021; 18(3): 1360. CrossRef - Status and management of arsenic pollution in groundwater: A comprehensive appraisal of recent global scenario, human health impacts, sustainable field-scale treatment technologies
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Materials Today: Proceedings.2021; 47: 728. CrossRef - Comparison of serum concentrations of essential and toxic elements between cigarette smokers and non-smokers
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Journal of Food Quality.2021; 2021: 1. CrossRef - Oral Nigella sativa oil administration alleviates arsenic-induced redox imbalance, DNA damage, and metabolic and histological alterations in rat liver
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Science of The Total Environment.2021; 780: 146274. CrossRef - Metals associated neurodegeneration in Parkinson’s disease: Insight to physiological, pathological mechanisms and management
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Neuroscience Letters.2021; 753: 135873. CrossRef - Assessment of arsenic exposure in the population of Sabalpur village of Saran District of Bihar with mitigation approach
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Biomolecules.2021; 11(9): 1276. CrossRef - Arsenic Pathways in the Environment: The Role of Contaminated Groundwater in the Dispersion of Arsenic to Soil, Vegetables and Chicken Meat
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International Journal of Molecular Sciences.2021; 22(18): 10077. CrossRef - The toxicokinetic of arsenic in the edible and non-edible tissues of freshwater shellfish
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Atmosphere.2021; 12(9): 1213. CrossRef - Photocatalytic Degradation of Organic, Inorganic and Microbial Pollutants
Present in Water by Novel Materials: A Critical Review and Present Update
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Asian Journal of Chemistry.2021; 33(10): 2251. CrossRef - Detoxification of Arsenic-Containing Copper Smelting Dust by Electrochemical Advanced Oxidation Technology
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Ecotoxicology and Environmental Safety.2020; 190: 110097. CrossRef - Arsenic in outdoor air particulate matter in China: Tiered study and implications for human exposure potential
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Chemical Research in Toxicology.2020; 33(3): 709. CrossRef - The impact of biomass burning on the oxidative potential of PM2.5 in the metropolitan area of Milan
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Biological Trace Element Research.2020; 198(2): 380. CrossRef - Groundwater Arsenic and Fluoride and Associated Arsenicosis and Fluorosis in China: Occurrence, Distribution and Management
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Exposure and Health.2020; 12(3): 355. CrossRef - Biomimetic System for the Application of Nanomaterials in Fluid Purification: Removal of Arsenic with Ferrihydrite
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ACS Omega.2020; 5(11): 5873. CrossRef - A Water‐Stable Ionic MOF for the Selective Capture of Toxic Oxoanions of SeVI and AsV and Crystallographic Insight into the Ion‐Exchange Mechanism
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Angewandte Chemie International Edition.2020; 59(20): 7788. CrossRef - Enhanced arsenic depletion by rice plant from flooded paddy soil with soluble organic fertilizer application
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Current Pollution Reports.2020; 6(2): 37. CrossRef - Curcumin alleviates arsenic-induced toxicity in PC12 cells via modulating autophagy/apoptosis
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Food and Chemical Toxicology.2020; 141: 111420. CrossRef - Interactions of arsenic metabolism with arsenic exposure and individual factors on diabetes occurrence: Baseline findings from Arsenic and Non-Communicable disease cohort (AsNCD) in China
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Environmental Pollution.2020; 265: 114968. CrossRef - Arsenic Concentrations in Ground and Surface Waters across Arizona Including Native Lands
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Andrologia.2020;[Epub] CrossRef - Arsenic and Obesity: a Review of Causation and Interaction
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Oxidative Medicine and Cellular Longevity.2020; 2020: 1. CrossRef - Arsenic Methyltransferase and Methylation of Inorganic Arsenic
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Biomolecules.2020; 10(9): 1351. CrossRef - Arsenic Exposure and Breast Cancer Risk: A Re-Evaluation of the Literature
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Nutrients.2020; 12(11): 3305. CrossRef - Dose-response meta-analysis of arsenic exposure in drinking water and intelligence quotient
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Miranda R. Jones, Maria Tellez-Plaza, Dhananjay Vaidya, Maria Grau-Perez, Wendy S. Post, Joel D. Kaufman, Eliseo Guallar, Kevin A. Francesconi, Walter Goessler, Keeve E. Nachman, Tiffany R. Sanchez, Ana Navas-Acien
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Journal of Cleaner Production.2019; 207: 67. CrossRef - A systematic review on global pollution status of particulate matter-associated potential toxic elements and health perspectives in urban environment
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Food Science and Biotechnology.2019; 28(2): 615. CrossRef - Synthesis and characterization of magnetic bio-adsorbent developed from Aegle marmelos leaves for removal of As(V) from aqueous solutions
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Applied Surface Science.2019; 478: 213. CrossRef - Circulating miRNA-126, -145 and -155 levels in Mexican women exposed to inorganic arsenic via drinking water
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Metals.2019; 9(4): 465. CrossRef - Arsenic-Induced Neoplastic Transformation Involves Epithelial–Mesenchymal Transition and Activation of the β-Catenin/c-Myc Pathway in Human Kidney Epithelial Cells
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Young-Seoub Hong, Ki-Hoon Song, Jin-Yong Chung
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J Prev Med Public Health. 2014;47(5):245-252. Published online September 11, 2014
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DOI: https://doi.org/10.3961/jpmph.14.035
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Abstract
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- Arsenic is a unique element with distinct physical characteristics and toxicity whose importance in public health is well recognized. The toxicity of arsenic varies across its different forms. While the carcinogenicity of arsenic has been confirmed, the mechanisms behind the diseases occurring after acute or chronic exposure to arsenic are not well understood. Inorganic arsenic has been confirmed as a human carcinogen that can induce skin, lung, and bladder cancer. There are also reports of its significant association to liver, prostate, and bladder cancer. Recent studies have also suggested a relationship with diabetes, neurological effects, cardiac disorders, and reproductive organs, but further studies are required to confirm these associations. The majority of research to date has examined cancer incidence after a high exposure to high concentrations of arsenic. However, numerous studies have reported various health effects caused by chronic exposure to low concentrations of arsenic. An assessment of the health effects to arsenic exposure has never been performed in the South Korean population; thus, objective estimates of exposure levels are needed. Data should be collected on the biological exposure level for the total arsenic concentration, and individual arsenic concentration by species. In South Korea, we believe that biological exposure assessment should be the first step, followed by regular health effect assessments.
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- Methylmercury Exposure and Health Effects
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Young-Seoub Hong, Yu-Mi Kim, Kyung-Eun Lee
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J Prev Med Public Health. 2012;45(6):353-363. Published online November 29, 2012
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DOI: https://doi.org/10.3961/jpmph.2012.45.6.353
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Abstract
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Methylmercury is a hazardous substance that is of interest with regard to environmental health, as inorganic mercury circulating in the general environment is dissolved into freshwater and seawater, condensed through the food chain, ingested by humans, and consequently affects human health. Recently, there has been much interest and discussion regarding the toxicity of methylmercury, the correlation with fish and shellfish intake, and methods of long-term management of the human health effects of methylmercury. What effects chronic exposure to a low concentration of methylmercury has on human health remains controversial. Although the possibility of methylmercury poisoning the heart and blood vessel system, the reproductive system, and the immune system is continuously raised and discussed, and the carcinogenicity of methylmercury is also under discussion, a clear conclusion regarding the human health effects according to exposure level has not yet been drawn. The Joint FAO/WHO Expert Committee on Food Additives proposed to prepare additional fish and shellfish intake recommendations for consumers based on the quantified evaluation of the hazardousness of methylmercury contained in fish and shellfish, methylmercury management in the Korea has not yet caught up with this international trend. Currently, the methylmercury exposure level of Koreans is known to be very high. The starting point of methylmercury exposure management is inorganic mercury in the general environment, but food intake through methylation is the main exposure source. Along with efforts to reduce mercury in the general environment, food intake management should be undertaken to reduce the human exposure to methylmercury in Korea. -
Summary
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- Corrigendum: The authors found errors in our published article: Quantitative Analysis of Cancer-associated Gene Methylation Connected to Risk Factors in Korean Colorectal Cancer Patients
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Ho-Jin Kang, Eun-Jeong Kim, Byoung-Gwon Kim, Chang-Hun You, Sang-Yong Lee, Dong-Il Kim, Young-Seoub Hong
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J Prev Med Public Health. 2012;45(5):333-333. Published online September 28, 2012
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DOI: https://doi.org/10.3961/jpmph.2012.45.5.333
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Corrects: J Prev Med Public Health 2012;45(4):251
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- Quantitative Analysis of Cancer-associated Gene Methylation Connected to Risk Factors in Korean Colorectal Cancer Patients
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Ho-Jin Kang, Eun-Jeong Kim, Byoung-Gwon Kim, Chang-Hun You, Sang-Yong Lee, Dong-Il Kim, Young-Seoub Hong
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J Prev Med Public Health. 2012;45(4):251-258. Published online July 31, 2012
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DOI: https://doi.org/10.3961/jpmph.2012.45.4.251
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Correction in: J Prev Med Public Health 2012;45(5):333
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The purpose of this paper was to elucidate the potential methylation levels of adjacent normal and cancer tissues by comparing them with normal colorectal tissues, and to describe the correlations between the methylation and clinical parameters in Korean colorectal cancer (CRC) patients. MethodsHypermethylation profiles of nine genes (RASSF1, APC, p16INK4a, Twist1, E-cadherin, TIMP3, Smad4, COX2, and ABCB1) were examined with 100 sets of cancer tissues and 14 normal colorectal tissues. We determined the hypermethylation at a given level by a percent of methylation ratio value of 10 using quantitative methylation real-time polymerase chain reaction. ResultsNine genes' hypermethylation levels in Korean CRC patient tissues were increased more higher than normal colorectal tissues. However, the amounts of p16INK4a and E-cadherin gene hypermethylation in normal and CRC tissues were not significantly different nor did TIMP3 gene hypermethylation in adjacent normal and cancer tissues differ significantly. The hypermethylation of TIMP3, E-cadherin, ABCB1, and COX2 genes among other genes were abundantly found in normal colorectal tissues. The hypermethylation of nine genes' methylation in cancer tissues was not significantly associated with any clinical parameters. In Cohen's kappa test, it was moderately observed that RASSF1 was related with E-cadherin, and Smad4 with ABCB1 and COX2. ConclusionsThis study provides evidence for different hypermethylation patterns of cancer-associated genes in normal and CRC tissues, which may serve as useful information on CRC cancer progression.
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- Relationship Between Blood Mercury Concentration and Waist-to-Hip Ratio in Elderly Korean Individuals Living in Coastal Areas
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Chang-Hun You, Byoung-Gwon Kim, Jung-Man Kim, Seung-Do Yu, Yu-Mi Kim, Rock-Bum Kim, Young-Seoub Hong
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J Prev Med Public Health. 2011;44(5):218-225. Published online September 28, 2010
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DOI: https://doi.org/10.3961/jpmph.2011.44.5.218
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This study investigated the relationship between the blood mercury concentration and cardiovascular risk factors in elderly Korean individuals living in coastal areas. MethodsThe sample consisted of 477 adults (164 males, 313 females) aged 40 to 65 years who visited a Busan health promotion center from June to September in 2009. The relationship between blood mercury concentration and cardiovascular risk factors including metabolic syndrome, cholesterol profiles, blood pressure, body mass index (BMI), waist circumference and waist-to-hip ratio (WHR), was investigated. Variables related to blood mercury concentration were further evaluated using multiple regression analysis. ResultsThe blood mercury concentration of the study population was 7.99 (range, 7.60 to 8.40) µg/L. In males, the blood mercury concentration was 9.74 (8.92 to 10.63) µg/L, which was significantly higher than that in females (7.21, [6.80 to 7.64] µg/L). The blood mercury concentration of the study population was related to several cardiovascular risk factors including low-density lipoprotein (LDL) cholesterol (p=0.044), high-density lipoprotein (HDL) cholesterol (p=0.034), BMI (p = 0.006), waist circumference (p = 0.031), and WHR (p < 0.001). In males, the blood mercury concentration was significantly correlated with WHR in the multiple regression analysis. ConclusionsIn males, the blood mercury concentration was related to waist-to-hip ratio, which is a central obesity index and cardiovascular risk factor. Our finding suggests that cardiovascular disease risk in males was increased by mercury exposure via an obesity-related mechanism.
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Citations to this article as recorded by - Association between Heavy Metals, Metalloids and Metabolic Syndrome: New Insights and Approaches
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- Association Between MicroRNA196a2 rs11614913 Genotypes and the Risk of Non-Small Cell Lung Cancer in Korean Population
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Young-Seoub Hong, Ho-Jin Kang, Jong-Young Kwak, Byung Lae Park, Chang-Hun You, Yu-Mi Kim, Heon Kim
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J Prev Med Public Health. 2011;44(3):125-130. Published online May 17, 2010
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DOI: https://doi.org/10.3961/jpmph.2011.44.3.125
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The microRNA (miRNA) miR-196a2 may play an important role in lung cancer development and survival by altering binding activity of target mRNA. In this study, we evaluated their associations with the susceptibility of non-small cell lung cancers (NSCLC) by case-control study in a Korean population. MethodsWe performed genotyping analyses for miR-196a2 rs11614913 T/C at miRNA regions in a case-control study using blood samples of 406 NSCLC patient and 428 cancer-free control groups. ResultsThe total C allele frequencies for miR-196a2 were 48.8% for the patients and 45.6% for the controls; and the genotype frequencies of TT, TC, and CC were 23.7%, 55.2%, and 21.1% for the patients and 31.1%, 46.35%, and 22.4% for the controls (p<0.05). Participants who possesses TC/CC genotypes showed high risk for NSCLC compared to those possessed TT genotypes (OR, 1.42; 95% CI, 1.03 to 1.96). The association was persisted in 60 and older age group, male, smokers, those without family history for cancer. However, no significant association of CC genotypes in recessive genetic model was observed. ConclusionsIn conclusion, this case-control study provides evidence that miR-196a2 rs11614913 C/T polymorphisms are associated with a significantly increased risk of NSCLC in a dominant model, indicating that common genetic polymorphisms in miR-196a2 rs11614913 are associated with NSCLC. The association of miR196a2 rs11614913 polymorphisms and NSCLC risk require confirmation through additional larger studies.
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