A pathway-based analysis of urinary arsenic metabolites and skin lesions

Molly L. Kile, Elaine Hoffman, Ema G. Rodrigues, Carrie V. Breton, Quazi Quamruzzaman, Mahmuder Rahman, Golam Mahiuddin, Yu Mei Hsueh, David C. Christiani

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58 Citations (Scopus)


Inorganic arsenic is metabolized to monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA). Limited evidence suggests that the ability to fully metabolize arsenic into DMA influences susceptibility to disease. To determine whether percentage of MMA was predictive of disease, the authors used data from a case-control study conducted in Bangladesh (2001-2003). Persons who were diagnosed with keratosis, melanosis, Bowen's disease, or squamous cell carcinoma were matched on age, sex, and village to persons without these conditions. This analysis was restricted to persons who had no missing data on covariates (859 cases, 868 controls). A path analysis was used to evaluate simultaneously the association between the percentage of all urinary arsenic metabolites and the odds of skin lesions using PROC CALIS in SAS, version 9.1 (SAS Institute, Inc., Cary, North Carolina) and Mplus, version 6.1 (Muthén & Muthén, Los Angeles, California). The odds of skin lesions were significantly associated with log10 percentage of MMA (adjusted odds ratio (ORadj) = 1.56, 95% confidence interval (CI): 1.15, 2.12) but not log10 percentage of inorganic arsenic (ORadj = 1.06, 95% CI: 0.75, 1.50) or log10 percentage of DMA (ORadj = 1.07, 95% CI: 0.33, 3.46). This novel analysis confirmed that persons who excrete a higher proportion of MMA have a greater risk of skin lesions after data are adequately controlled for urinary arsenic metabolites, current arsenic exposure, and other risk factors.

Original languageEnglish
Pages (from-to)778-786
Number of pages9
JournalAmerican Journal of Epidemiology
Issue number7
Publication statusPublished - Apr 1 2011


  • Bangladesh
  • arsenic
  • methylation
  • organometallic compounds
  • skin lesions
  • water

ASJC Scopus subject areas

  • Epidemiology


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