Evidence map›Paper›PMID 26677206›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Determinants and Consequences of Arsenic Metabolism Efficiency among 4,794 Individuals: Demographics, Lifestyle, Genetics, and Toxicity.

Rick J Jansen, Maria Argos, Lin Tong, Jiabei Li, Muhammad Rakibuz-Zaman, Md Tariqul Islam, Vesna Slavkovich, Alauddin Ahmed, Ana Navas-Acien, Faruque Parvez and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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  17. Biomonitoring of inorganic arsenic species in pregnancy.Journal of exposure science & environmental epidemiology · 2023
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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

15 authors at 1 institution in 1 country.

Rick J JansenDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois.
Maria ArgosDivison of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois.
Lin TongDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois.
Jiabei LiDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois.
Muhammad Rakibuz-ZamanUChicago Research Bangladesh, Dhaka, Bangladesh.
Md Tariqul IslamUChicago Research Bangladesh, Dhaka, Bangladesh.
Vesna SlavkovichDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Alauddin AhmedUChicago Research Bangladesh, Dhaka, Bangladesh.
Ana Navas-AcienDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Faruque ParvezDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Yu ChenDepartments of Population Health and Environmental Medicine, New York University School of Medicine, New York, New York.
Mary V GambleDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Joseph H GrazianoDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Brandon L PierceDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois. Department of Human Genetics and Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois. brandonpierce@uchicago.edu habib@uchicago.edu.
Habibul AhsanDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois. Department of Human Genetics and Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois. Department of Medicine, The University of Chicago, Chicago, Illinois. brandonpierce@uchicago.edu habib@uchicago.edu.
Columbia University · US

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Chemoprevention of arsenic-induced skin cancerR01CA107431 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2005 to 2014
$17.3M
Genetics of arsenic metabolism: fine-mapping and rare variant analysisR01ES023834 · NIEHS · UNIVERSITY OF CHICAGO · PI PIERCE, BRANDON LEE · 2014 to 2017
$2.5M
A Study of Telomeres in an Arsenic-Exposed Bangladesh CohortR01ES020506 · NIEHS · UNIVERSITY OF CHICAGO · PI PIERCE, BRANDON LEE · 2011 to 2015
$1.9M
Perkin-Elmer NexION-300D Inductively Coupled Mass Spectrometer (ICP-MS)S10OD016384 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GRAZIANO, JOSEPH H · 2014 to 2014
$181k
Bangladesh Center for Global Environmental and Occupational HealthR24TW009555 · FIC · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2012 to 2014
$149k
FIC NIH HHS R24 TW009555FIC NIH HHS R24TW009555NCATS NIH HHS UL1 TR000430NCI NIH HHS R01 CA107431NCI NIH HHS R01CA107431NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS P42ES010349NIEHS NIH HHS R01 ES020506NIEHS NIH HHS R01ES020506NIEHS NIH HHS R01 ES023834NIEHS NIH HHS R01ES023834NIH HHS S10 OD016384
6 · The paper itself

Abstract

backgroundExposure to inorganic arsenic (iAs), a class I carcinogen, affects several hundred million people worldwide. Once absorbed, iAs is converted to monomethylated (MMA) and then dimethylated forms (DMA), with methylation facilitating urinary excretion. The abundance of each species in urine relative to their sum (iAs%, MMA%, and DMA%) varies across individuals, reflecting differences in arsenic metabolism capacity.

methodsThe association of arsenic metabolism phenotypes with participant characteristics and arsenical skin lesions was characterized among 4,794 participants in the Health Effects of Arsenic Longitudinal Study (Araihazar, Bangladesh). Metabolism phenotypes include those obtained from principal component (PC) analysis of arsenic species.

resultsTwo independent PCs were identified: PC1 appears to represent capacity to produce DMA (second methylation step), and PC2 appears to represent capacity to convert iAs to MMA (first methylation step). PC1 was positively associated (P <0.05) with age, female sex, and BMI, while negatively associated with smoking, arsenic exposure, education, and land ownership. PC2 was positively associated with age and education but negatively associated with female sex and BMI. PC2 was positively associated with skin lesion status, while PC1 was not. 10q24.32/AS3MT region polymorphisms were strongly associated with PC1, but not PC2. Patterns of association for most variables were similar for PC1 and DMA%, and for PC2 and MMA% with the exception of arsenic exposure and SNP associations.

conclusionsTwo distinct arsenic metabolism phenotypes show unique associations with age, sex, BMI, 10q24.32 polymorphisms, and skin lesions. IMPACT: This work enhances our understanding of arsenic metabolism kinetics and toxicity risk profiles.

Indexed as

AdolescentAdultAgedArsenicalsDemographyEnvironmental ExposureGenotyping TechniquesHumansLife StyleMiddle AgedPolymorphism, GeneticPolymorphism, Single NucleotideYoung AdultArsenicals

Identifiers

PMID26677206
PMCPMC4767610
OpenAlexW2199114310

What OpenQuestion holds

Textmetadata
LicenceTDM
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.