Evidence map›Paper›PMID 27230915›Full record

ArticleEnvironmental health : a global access science source2016

Biological and behavioral factors modify urinary arsenic metabolic profiles in a U.S. population.

Edward E Hudgens, Zuzana Drobna, Bin He, X C Le, Miroslav Styblo, John Rogers, David J Thomas

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Arsenic, mercury, manganese, and lead exposure in Mexican adults aged 50 and older.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Article
  5. Article
  6. Article
  7. Biomonitoring of inorganic arsenic species in pregnancy.Journal of exposure science & environmental epidemiology · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. As andEnvironmental science and pollution research international · 2022
    Review
  12. A mass-balance model to assess arsenic exposure from multiple wells in Bangladesh.Journal of exposure science & environmental epidemiology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Arsenic Metabolism in Mice Carrying aEnvironmental health perspectives · 2020
    Article
  17. Factors Affecting Arsenic Methylation in Contaminated Italian Areas.International journal of environmental research and public health · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Edward E HudgensEnvironmental Public Health Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27709, USA.
Zuzana DrobnaDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Bin HeAnalytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2G3, Canada.
X C LeAnalytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2G3, Canada.
Miroslav StybloDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
John RogersWestat, 1600 Research Boulevard, Rockville, MD, 20850, USA.
David J ThomasIntegrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27709, USA. thomas.david@epa.gov.
Environmental Protection Agency · USUniversity of Alberta · CAUniversity of North Carolina at Chapel Hill · USWestat (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause some adverse health effects associated with chronic arsenic exposure may be mediated by methylated arsenicals, interindividual variation in capacity to convert inorganic arsenic into mono- and di-methylated metabolites may be an important determinant of risk associated with exposure to this metalloid. Hence, identifying biological and behavioral factors that modify an individual's capacity to methylate inorganic arsenic could provide insights into critical dose-response relations underlying adverse health effects.

methodsA total of 904 older adults (≥45 years old) in Churchill County, Nevada, who chronically used home tap water supplies containing up to 1850 μg of arsenic per liter provided urine and toenail samples for determination of total and speciated arsenic levels. Effects of biological factors (gender, age, body mass index) and behavioral factors (smoking, recent fish or shellfish consumption) on patterns of arsenicals in urine were evaluated with bivariate analyses and multivariate regression models.

resultsRelative contributions of inorganic, mono-, and di-methylated arsenic to total speciated arsenic in urine were unchanged over the range of concentrations of arsenic in home tap water supplies used by study participants. Gender predicted both absolute and relative amounts of arsenicals in urine. Age predicted levels of inorganic arsenic in urine and body mass index predicted relative levels of mono- and di-methylated arsenic in urine. Smoking predicted both absolute and relative levels of arsenicals in urine. Multivariate regression models were developed for both absolute and relative levels of arsenicals in urine. Concentration of arsenic in home tap water and estimated water consumption were strongly predictive of levels of arsenicals in urine as were smoking, body mass index, and gender. Relative contributions of arsenicals to urinary arsenic were not consistently predicted by concentrations of arsenic in drinking water supplies but were more consistently predicted by gender, body mass index, age, and smoking.

conclusionsThese findings suggest that analyses of dose-response relations in arsenic-exposed populations should account for biological and behavioral factors that modify levels of inorganic and methylated arsenicals in urine. Evidence of significant effects of these factors on arsenic metabolism may also support mode of action studies in appropriate experimental models.

Indexed as

AdultAgedAged, 80 and overAnimalsArsenicArsenicalsCotinineCreatinineDose-Response Relationship, DrugDrinking WaterEnvironmental ExposureEnvironmental PollutantsFemaleFishesFood ContaminationHumansArsenicArsenicalsCotinineCreatinineDrinking WaterEnvironmental PollutantsBiological and behavioral modifiersBMIDrinking waterGenderHumanInorganic arsenicMethylated arsenicalsSmokingToenailsUrine

Identifiers

PMID27230915
PMCPMC4880853
OpenAlexW2395427833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.