2016
DOI: 10.3390/ijerph13020205
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Factors Affecting Arsenic Methylation in Arsenic-Exposed Humans: A Systematic Review and Meta-Analysis

Abstract: Abstract:Chronic arsenic exposure is a critical public health issue in many countries. The metabolism of arsenic in vivo is complicated because it can be influenced by many factors. In the present meta-analysis, two researchers independently searched electronic databases, including the Cochrane Library, PubMed, Springer, Embase, and China National Knowledge Infrastructure, to analyze factors influencing arsenic methylation. The concentrations of the following arsenic metabolites increase (p < 0.000001) followi… Show more

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Cited by 99 publications
(49 citation statements)
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“…Therefore, the 2 nd collected urine profile of each participant was considered for further analysis. Although women have shown more efficient methylation capacity than men in previous studies (Lindberg et al 2008;Hudgens et al 2016;Shen et al 2016), gender was not a significant predictor of As exposure in the current study.…”
Section: Resultscontrasting
confidence: 76%
“…Therefore, the 2 nd collected urine profile of each participant was considered for further analysis. Although women have shown more efficient methylation capacity than men in previous studies (Lindberg et al 2008;Hudgens et al 2016;Shen et al 2016), gender was not a significant predictor of As exposure in the current study.…”
Section: Resultscontrasting
confidence: 76%
“…Arsenic methylation facilitates metabolism of inorganic arsenic into less toxic metabolites that are readily eliminated from the body . Other factors that can affect arsenic metabolism include gender, smoking, drinking, body mass index, and genetic polymorphisms found within a population. These factors should be taken into consideration in future health assessment activities within and around the affected municipality.…”
Section: Discussionmentioning
confidence: 99%
“…Because sex [19][20][21][22][23][24] and BMI [24][25][26][27] have been associated in several studies with arsenic toxicokinetics and the related one-carbon metabolism pathway, we considered possible effect modification of the hypothesized arsenic toxicity, by sex and by BMI categories, using models with interaction terms between BMI category and arsenic category, or sex and arsenic category, and adjustment for the same suite of confounders as in our fully adjusted main analyses (Model 4).…”
Section: Discussionmentioning
confidence: 99%