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Removal of Arsenic Using a Cationic Polymer Gel Impregnated with Iron Hydroxide
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Published on: June 28, 2019

Mathematical model insights into arsenic detoxification.

Sean D Lawley1, Molly Cinderella, Megan N Hall

  • 1Department of Mathematics, Duke University, 130 Science Drive, Durham, NC 27708, USA. lawley@math.duke.edu

Theoretical Biology & Medical Modelling
|August 30, 2011
PubMed
Summary

Mathematical modeling of arsenic metabolism in humans shows folate supplementation significantly reduces whole-body arsenic levels. This study highlights folate

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Published on: March 9, 2018

Area of Science:

  • Environmental Health
  • Toxicology
  • Biomathematics

Background:

  • Arsenic in drinking water is a global health concern, primarily ingested as trivalent inorganic arsenic (iAs).
  • Hepatic methylation converts iAs to methylarsonic acid (MMAs) and dimethylarsinic acid (DMAs), a process generally considered detoxification.
  • Understanding arsenic metabolism is crucial for mitigating health risks in exposed populations.

Purpose of the Study:

  • To develop a whole-body mathematical model of arsenic metabolism.
  • To explain existing data on arsenic methylation in human studies.
  • To test the effects of nutritional supplements, specifically folate, on arsenic methylation and excretion.

Main Methods:

  • Developed a comprehensive mathematical model of arsenic absorption, storage, methylation, and excretion.
  • Utilized biochemical literature for liver methylation parameters.
  • Adjusted transport parameters to accurately predict urinary excretion rates of iAs, MMAs, and DMAs in human subjects.

Main Results:

  • The model accurately predicted urinary arsenic excretion in multiple-dose experiments.
  • Folate supplementation in folate-deficient individuals decreased blood arsenicals by 14%, with model predictions of 19% decrease in liver and 26% in other body stores.
  • The model predicted a twofold upregulation of arsenic methyltransferase in the studied population.

Conclusions:

  • Folate supplementation shows potential for more effective whole-body arsenic reduction than previously assumed.
  • The predicted twofold upregulation of arsenic methyltransferase in chronically exposed populations requires verification for public health implications.
  • The necessity of protein-binding compartments in the model for accurate arsenic metabolism fits suggests further biochemical investigation.