Evidence map›Paper›PMID 25137520›Full record

ArticleArchives of environmental & occupational health2016

Heavy metals, organic solvents, and multiple sclerosis: An exploratory look at gene-environment interactions.

Melanie D Napier, Charles Poole, Glen A Satten, Allison Ashley-Koch, Ruth Ann Marrie, Dhelia M Williamson

Open access · greenAbstract read
In one paragraph

Article in Archives of environmental & occupational health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
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  6. Demyelination and impaired oligodendrogenesis in the corpus callosum following lead exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
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  19. Diet, Gut Microbiota, and Vitamins D + A in Multiple Sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2018
    Review
  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

6 authors at 4 institutions in 2 countries.

Melanie D Napiera Department of Epidemiology, Gillings School of Global Public Health , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina , USA.
Charles Poolea Department of Epidemiology, Gillings School of Global Public Health , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina , USA.
Glen A Sattenb Division of Reproductive Health , Centers for Disease Control and Prevention , Atlanta , Georgia , USA.
Allison Ashley-Kochc Center for Human Disease Modeling , Duke University Medical Center , Durham , North Carolina , USA.
Ruth Ann Married Departments of Internal Medicine and Community Health Sciences , University of Manitoba , Winnipeg , Manitoba , Canada.
Dhelia M Williamsonb Division of Reproductive Health , Centers for Disease Control and Prevention , Atlanta , Georgia , USA.
Centers for Disease Control and Prevention · USUniversity of North Carolina at Chapel Hill · USDuke University · USManitoba Health · CA

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Intramural CDC HHS CC999999NIEHS NIH HHS P30 ES010126PHS HHS 200-2003-01396
6 · The paper itself

Abstract

Exposure to heavy metals and organic solvents are potential etiologic factors for multiple sclerosis (MS), but their interaction with MS-associated genes is under-studied. The authors explored the relationship between environmental exposure to lead, mercury, and solvents and 58 single-nucleotide polymorphisms (SNPs) in MS-associated genes. Data from a population-based case-control study of 217 prevalent MS cases and 496 age-, race-, gender-, and geographically matched controls were used to fit conditional logistic regression models of the association between the chemical, gene, and MS, adjusting for education and ancestry. MS cases were more likely than controls to report lead (odds ratio [OR] = 2.03; 95% confidence interval [CI]: 1.07, 3.86) and mercury exposure (OR = 2.06; 95% CI: 1.08, 3.91). Findings of potential gene-environment interactions between SNPs in TNF-α, TNF-β, TCA-β, VDR, MBP, and APOE, and lead, mercury, or solvents should be considered cautiously due to limited sample size.

Indexed as

Gene-Environment InteractionHeavy Metal PoisoningCase-Control StudiesEnvironmental ExposureFemaleHumansLogistic ModelsMaleMetals, HeavyMultiple SclerosisPoisoningPolymorphism, Single NucleotideSolventsMetals, HeavySolventsAutoimmune diseasescase-controlepidemiologygene-environment interactionheavy metal exposureorganic solvents; multiple sclerosis

Identifiers

PMID25137520
PMCPMC4334728
OpenAlexW2043716000

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.