Evidence map›Paper›PMID 29373862›Full record

ArticleEnvironmental health perspectives2017

Association of Low-Moderate Arsenic Exposure and Arsenic Metabolism with Incident Diabetes and Insulin Resistance in the Strong Heart Family Study.

Maria Grau-Perez, Chin-Chi Kuo, Matthew O Gribble, Poojitha Balakrishnan, Miranda Jones Spratlen, Dhananjay Vaidya, Kevin A Francesconi, Walter Goessler, Eliseo Guallar, Ellen K Silbergeld and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
8.1field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it, 115 citations in OpenAlex.

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  18. AS3MT facilitates NLRP3 inflammasome activation by mCell biology and toxicology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Maria Grau-PerezDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Chin-Chi KuoDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Matthew O GribbleDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
Poojitha BalakrishnanDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Miranda Jones SpratlenDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Dhananjay VaidyaDivision of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Kevin A FrancesconiInstitute of Chemistry, University of Graz, Graz, Austria.
Walter GoesslerInstitute of Chemistry, University of Graz, Graz, Austria.
Eliseo GuallarDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Ellen K SilbergeldDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Jason G UmansGeorgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
Lyle G BestDepartment of Epidemiology, Missouri Breaks Industries Research, Inc., Eagle Butte, South Dakota, USA
Elisa T LeeCenter for American Indian Health Research, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
Barbara V HowardGeorgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
Shelley A ColeDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
Ana Navas-AcienDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Johns Hopkins University · USGeorgetown-Howard Universities Center for Clinical and Translational Science · USUniversity of Graz · ATEmory University · USMissouri Breaks Industries Research (United States) · USTexas Biomedical Research Institute · USUniversity of Oklahoma Health Sciences Center · 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
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
The Strong Heart Study, Phase VU01HL041654 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 1988 to 2013
$19.2M
CARDIOVASCULAR DISEASE IN THE PIMA INDIANSU01HL041642 · NHLBI · MEDSTAR RESEARCH INSTITUTE · PI HOWARD, BARBARA V · 1988 to 2013
$12.6M
STRONG HEART FAMILY STUDYU01HL065520 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2000 to 2011
$8.9M
CARDIOVASCULAR DISEASE IN SIOUX INDIANSU01HL041652 · NHLBI · U.S. PHS INDIAN HEALTH SERVICE · PI BEST, LYLE G · 1988 to 2013
$7.9M
CVD in American Indians Study and Data Management Center and OK Field CenterR01HL109284 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STONER, JULIE A · 2013 to 2018
$4.6M
CARDIOVASCULAR EVALUATION--STRONG HEART STUDY PHASE IVU01HL065521 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEVEREUX, RICHARD B · 2000 to 2013
$4.3M
CVD in American Indians Biomarker lab and Arizona Field CenterR01HL109319 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2013 to 2017
$3.6M
CVD in American Indians Genetics CenterR01HL109301 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2013 to 2018
$3.2M
NCATS NIH HHS UL1 TR001409NHLBI NIH HHS R01 HL090863NHLBI NIH HHS R01 HL109282NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109301NHLBI NIH HHS R01 HL109315NHLBI NIH HHS R01 HL109319NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065520NHLBI NIH HHS U01 HL065521NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES019776NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R01 ES021367NIEHS NIH HHS R01 ES025216
6 · The paper itself

Abstract

backgroundHigh arsenic exposure has been related to diabetes, but at low-moderate levels the evidence is mixed. Arsenic metabolism, which is partly genetically controlled and may rely on certain B vitamins, plays a role in arsenic toxicity.

objectiveWe evaluated the prospective association of arsenic exposure and metabolism with type 2 diabetes and insulin resistance.

methodsWe included 1,838 American Indian men and women free of diabetes (median age, 36 y). Arsenic exposure was assessed as the sum of inorganic arsenic (iAs), monomethylarsonate (MMA), and dimethylarsinate (DMA) urine concentrations (ΣAs). Arsenic metabolism was evaluated by the proportions of iAs, MMA, and DMA over their sum (iAs%, MMA%, and DMA%). Homeostasis model assessment for insulin resistance (HOMA2-IR) was measured at baseline and follow-up visits. Incident diabetes was evaluated at follow-up.

resultsMedian ΣAs, iAs%, MMA%, and DMA% was 4.4 μg/g creatinine, 9.5%, 14.4%, and 75.6%, respectively. Over 10,327 person-years of follow-up, 252 participants developed diabetes. Median HOMA2-IR at baseline was 1.5. The fully adjusted hazard ratio [95% confidence interval (CI)] for incident diabetes per an interquartile range increase in ΣAs was 1.57 (95% CI: 1.18, 2.08) in participants without prediabetes at baseline. Arsenic metabolism was not associated with incident diabetes. ΣAs was positively associated with HOMA2-IR at baseline but negatively with HOMA2-IR at follow-up. Increased MMA% was associated with lower HOMA2-IR when either iAs% or DMA% decreased. The association of arsenic metabolism with HOMA2-IR differed by B-vitamin intake and

conclusionsAmong participants without baseline prediabetes, arsenic exposure was associated with incident diabetes. Low MMA% was cross-sectional and prospectively associated with higher HOMA2-IR. Research is needed to confirm possible interactions of arsenic metabolism with B vitamins and

Indexed as

Environmental ExposureInsulin ResistanceAdultArsenicCacodylic AcidDiabetes Mellitus, Type 2Environmental PollutantsFemaleHumansIncidenceIndians, North AmericanMaleMiddle AgedProspective StudiesUnited StatesYoung AdultArsenicCacodylic AcidEnvironmental Pollutants

Identifiers

PMID29373862
PMCPMC5963590
OpenAlexW2791459078

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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.