Evidence map›Paper›PMID 31690343›Full record

ArticleEnvironmental health : a global access science source2019

Determinants of arsenic methylation efficiency and urinary arsenic level in pregnant women in Bangladesh.

Shangzhi Gao, Pi-I Lin, Golam Mostofa, Quazi Quamruzzaman, Mahmudur Rahman, Mohammad Lutfar Rahman, Li Su, Yu-Mei Hsueh, Marc Weisskopf, Brent Coull and 1 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Arsenome, Arsenobolome, and Arsenobiolome.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Biomonitoring of inorganic arsenic species in pregnancy.Journal of exposure science & environmental epidemiology · 2023
    Review
  7. Article
  8. Article
  9. Comparative Biomonitoring of Arsenic Exposure in Mothers and Their Neonates in Comarca Lagunera, Mexico.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

11 authors at 3 institutions in 3 countries.

Shangzhi GaoDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Pi-I LinDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Golam MostofaDhaka Community Hospital Trust, 190 Wireless Railgate, 1 Baro Moghbazar, Dhaka, Bangladesh.
Quazi QuamruzzamanDhaka Community Hospital Trust, 190 Wireless Railgate, 1 Baro Moghbazar, Dhaka, Bangladesh.
Mahmudur RahmanDhaka Community Hospital Trust, 190 Wireless Railgate, 1 Baro Moghbazar, Dhaka, Bangladesh.
Mohammad Lutfar RahmanHarvard Medical School, Department of Population Medicine, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA, 02215, USA.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Yu-Mei HsuehDepartment of Family Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei City, Taiwan.
Marc WeisskopfDepartment of Epidemiology, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Brent CoullDepartment of Biostatistics, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
David Chistopher ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA. dchris@hsph.harvard.edu.ORCID 0000-0002-0301-0242
Harvard University · USDhaka Community Hospital Trust · BDTaipei Medical University-Shuang Ho Hospital · TW

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
The HSPH Education and Research Center of Occupational Safety and HealthT42OH008416 · OH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2005 to 2025
$30.5M
Arsenic Exposure and Birth Outcomes in BangladeshR01ES015533 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHRISTIANI, DAVID C · 2007 to 2011
$2.1M
ACL HHS T42OH008416NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES015533NIOSH CDC HHS 5T42OH008416
6 · The paper itself

Abstract

backgroundPrenatal inorganic arsenic (iAs) exposure is associated with pregnancy outcomes. Maternal capabilities of arsenic biotransformation and elimination may influence the susceptibility of arsenic toxicity. Therefore, we examined the determinants of arsenic metabolism of pregnant women in Bangladesh who are exposed to high levels of arsenic.

methodsIn a prospective birth cohort, we followed 1613 pregnant women in Bangladesh and collected urine samples at two prenatal visits: one at 4-16 weeks, and the second at 21-37 weeks of pregnancy. We measured major arsenic species in urine, including iAs (iAs%) and methylated forms. The proportions of each species over the sum of all arsenic species were used as biomarkers of arsenic methylation efficiency. We examined the difference in arsenic methylation using a paired t-test between first and second visits. Using linear regression, we examined determinants of arsenic metabolism, including age, BMI at enrollment, education, financial provider income, arsenic exposure level, and dietary folate and protein intake, adjusted for daily energy intake.

resultsComparing visit 2 to visit 1, iAs% decreased 1.1% (p <  0.01), and creatinine-adjusted urinary arsenic level (U-As) increased 21% (95% CI: 15, 26%; p <  0.01). Drinking water arsenic concentration was positively associated with iAs% at both visits. When restricted to participants with higher adjusted urinary arsenic levels (adjusted U-As > 50 μg/g-creatinine) gestational age at measurement was strongly associated with DMA% (β = 0.38, p <  0.01) only at visit 1. Additionally, DMA% was negatively associated with daily protein intake (β = - 0.02, p <  0.01) at visit 1, adjusting for total energy intake and other covariates.

conclusionsOur findings indicate that arsenic metabolism and adjusted U-As level increase during pregnancy. We have identified determinants of arsenic methylation efficiency at visit 1.

Indexed as

AdultArsenicArsenicalsBangladeshBiomarkersDrinking WaterEnvironmental ExposureFemaleGestational AgeHumansMethylationPregnancyProspective StudiesYoung AdultArsenicArsenicalsBiomarkersDrinking WaterArsenic metabolismEnvironmental arsenic exposurePregnancyReproductive healthUrinary arsenic metabolites

Identifiers

PMID31690343
PMCPMC6833186
OpenAlexW2985133129

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.