Evidence map›Paper›PMID 28433805›Full record

ArticleEnvironmental toxicology and pharmacology2017

Chronic early childhood exposure to arsenic is associated with a TNF-mediated proteomic signaling response.

Lisa Smeester, Paige A Bommarito, Elizabeth M Martin, Rogelio Recio-Vega, Tania Gonzalez-Cortes, Edgar Olivas-Calderon, R Clark Lantz, Rebecca C Fry

Abstract read
In one paragraph

Article in Environmental toxicology and pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Serum Proteomic Profiling Analysis of Rats Chronically Exposed to Arsenic.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  8. Article
  9. Article
  10. Review
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

8 authors at 3 institutions in 2 countries.

Lisa SmeesterDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Paige A BommaritoDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Elizabeth M MartinDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Rogelio Recio-VegaDepartment of Environmental Health, Biomedical Research Center, School of Medicine, University of Coahuila, Torreon, Coahuila, Mexico.
Tania Gonzalez-CortesDepartment of Environmental Health, Biomedical Research Center, School of Medicine, University of Coahuila, Torreon, Coahuila, Mexico.
Edgar Olivas-CalderonDepartment of Environmental Health, Biomedical Research Center, School of Medicine, University of Coahuila, Torreon, Coahuila, Mexico.
R Clark LantzDepartment of Cellular and Molecular Medicine, University of Arizona, Tuscon, AZ 85721, United States.
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States. Electronic address: rfry@unc.edu.
University of North Carolina at Chapel Hill · USUniversidad Autónoma de Coahuila · MXUniversity of Arizona · US

Funding

TRANSPORT OF TRACE METALS IN A POLLUTED AQUIFERP42ES004940 · NIEHS · UNIVERSITY OF ARIZONA · PI Jon D Chorover · 1990 to 2026
$68.1M
STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
In utero exposure to arsenic, links to epigenetic alterations and diseaseR01ES019315 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 2010 to 2014
$2.3M
NIEHS NIH HHS P42 ES004940NIEHS NIH HHS P42 ES005948NIEHS NIH HHS R01 ES019315NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

Exposure to inorganic arsenic (iAs) in drinking water is a global public health concern and is associated with a range of health outcomes, including immune dysfunction. Children are a particularly sensitive population to the effects of inorganic arsenic, yet the biological mechanisms underlying adverse health outcomes are understudied. Here we used a proteomic approach to examine the effects of iAs exposure on circulating serum protein levels in a cross-sectional children's cohort in Mexico. To identify iAs-associated proteins, levels of total urinary arsenic (U-tAs) and its metabolites were determined and serum proteins assessed for differences in expression. The results indicate an enrichment of Tumor Necrosis Factor-(TNF)-regulated immune and inflammatory response proteins that displayed decreased expression levels in relation to increasing U-tAs. Notably, when analyzed in the context of the proportions of urinary arsenic metabolites in children, the most robust response was observed in relation to the monomethylated arsenicals. This study is among the first serum proteomics assessment in children exposed to iAs.

Indexed as

ArsenicArsenicalsBlood ProteinsChildEnvironmental ExposureFemaleHumansMaleMexicoProteomicsSignal TransductionArsenicArsenicalsBlood ProteinsArsenicArsenic metabolismEarly childhood exposureProteomics

Identifiers

PMID28433805
PMCPMC5796657
OpenAlexW2604232867

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.