Literature DB >> 26494561

Associations of arsenic metabolites, methylation capacity, and skin lesions caused by chronic exposure to high arsenic in tube well water.

Linsheng Yang1, Yuanqing Chai1,2, Jiangping Yu1, Binggan Wei1, Yajuan Xia3, Kegong Wu3, Jianwei Gao1, Zhiwei Guo3, Na Cui3.   

Abstract

To investigate the interaction between skin lesion status and arsenic methylation profiles, the concentrations and proportions of arsenic metabolites in urine and arsenic methylation capacities of study subjects were determined. The results showed that the mean urinary concentrations of iAs (inorganic arsenic), MMA (monomethylarsonic acid), DMA (dimethylarsinic acid), and TAs (total arsenic) were 75.65, 68.78, 265.81, and 410.24 μg/L, respectively, in the skin lesions subjects. The highest values were observed in the multiple skin lesions subjects. Higher %iAs and %MMA, and lower %DMA, PMI (primary methylation index), and SMI (secondary methylation index) were found in skin lesions subjects. The multiple skin lesions subjects had highest %iAs and %MMA, and lowest %DMA, PMI, and SMI. The prevalence of skin lesions strongly, positively correlated with arsenic levels in drinking water. The elder persons also had higher frequency of skin lesions compared with younger persons. It can be concluded that arsenic levels in drinking water significantly affected the prevalence of skin lesions. Male subjects usually had higher proportions of skin lesions when compared with female subjects. Moreover, it may be concluded that MMA was significantly related to single skin lesion, whereas DMA and iAs were associated with multiple skin lesions. It seemed that MMA had greater toxicity to hyperkeratosis, whereas DMA and iAs had higher toxicity to depigmentation or pigmentation.
© 2015 Wiley Periodicals, Inc. Environ Toxicol 32: 28-36, 2017. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  arsenic; arsenic metabolites; drinking water; methylation capacity; skin lesions

Mesh:

Substances:

Year:  2015        PMID: 26494561     DOI: 10.1002/tox.22209

Source DB:  PubMed          Journal:  Environ Toxicol        ISSN: 1520-4081            Impact factor:   4.119


  8 in total

1.  A follow-up study of the development of skin lesions associated with arsenic exposure duration.

Authors:  Binggan Wei; Jiangping Yu; Chang Kong; Hairong Li; Linsheng Yang; Yajuan Xia; Kegong Wu
Journal:  Environ Geochem Health       Date:  2018-06-14       Impact factor: 4.609

2.  An investigation of the health effects caused by exposure to arsenic from drinking water and coal combustion: arsenic exposure and metabolism.

Authors:  Binggan Wei; Jiangping Yu; Chang Kong; Hairong Li; Linsheng Yang; Zhiwei Guo; Na Cui; Yajuan Xia; Kegong Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-23       Impact factor: 4.223

3.  Targeted metabolomics to understand the association between arsenic metabolism and diabetes-related outcomes: Preliminary evidence from the Strong Heart Family Study.

Authors:  Miranda J Spratlen; Maria Grau-Perez; Jason G Umans; Joseph Yracheta; Lyle G Best; Kevin Francesconi; Walter Goessler; Teodoro Bottiglieri; Mary V Gamble; Shelley A Cole; Jinying Zhao; Ana Navas-Acien
Journal:  Environ Res       Date:  2018-09-27       Impact factor: 6.498

4.  Arsenic, one carbon metabolism and diabetes-related outcomes in the Strong Heart Family Study.

Authors:  Miranda J Spratlen; Maria Grau-Perez; Jason G Umans; Joseph Yracheta; Lyle G Best; Kevin Francesconi; Walter Goessler; Poojitha Balakrishnan; Shelley A Cole; Mary V Gamble; Barbara V Howard; Ana Navas-Acien
Journal:  Environ Int       Date:  2018-10-12       Impact factor: 9.621

5.  Integration of microRNAome, proteomics and metabolomics to analyze arsenic-induced malignant cell transformation.

Authors:  Youyou Zhou; Yanfu Wang; Juan Su; Zheng Wu; Chao Wang; Weiming Zhong; Xiaomei Liu; Linhui Cui; Xiaoyu Zhou; Yufang Ma; Yi Xin; Jianglin Zhang; Lisha Wu; Xing Hu; Xiang Chen; Cong Peng; MingYang Gao
Journal:  Oncotarget       Date:  2017-06-27

6.  Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy.

Authors:  Fabrizio Minichilli; Fabrizio Bianchi; Anna Maria Ronchi; Francesca Gorini; Elisa Bustaffa
Journal:  Int J Environ Res Public Health       Date:  2018-02-09       Impact factor: 3.390

Review 7.  On the Use of Hair Analysis for Assessing Arsenic Intoxication.

Authors:  Sidney A Katz
Journal:  Int J Environ Res Public Health       Date:  2019-03-18       Impact factor: 3.390

Review 8.  Recent Advances in Arsenic Research: Significance of Differential Susceptibility and Sustainable Strategies for Mitigation.

Authors:  Tamalika Sanyal; Pritha Bhattacharjee; Somnath Paul; Pritha Bhattacharjee
Journal:  Front Public Health       Date:  2020-10-08
  8 in total

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