Evidence map›Paper›PMID 37169001›Full record

ArticleJournal of translational autoimmunity2023

Metal mixture exposures and multiplexed autoantibody screening in Navajo communities exposed to uranium mine wastes.

Esther Erdei, Chris Shuey, Curtis Miller, Joseph Hoover, Miranda Cajero, Johnnye Lewis

Open access · goldAbstract read
In one paragraph

Article in Journal of translational autoimmunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors at 2 institutions in 1 country.

Esther ErdeiCommunity Environmental Health Program, Dept. of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, College of Pharmacy, 1 MSC 09 5360, University of New Mexico, Albuquerque, NM, 87131, USA.
Chris ShueySouthwest Research and Information Center, 105 Stanford Drive, SE, Albuquerque, NM, 87106, USA.
Curtis MillerCommunity Environmental Health Program, Dept. of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, College of Pharmacy, 1 MSC 09 5360, University of New Mexico, Albuquerque, NM, 87131, USA.
Joseph HooverUniversity of Arizona Department of Environmental Sciences, 1177 E 4th Street, Tucson, AZ, 85721, USA.
Miranda CajeroCommunity Environmental Health Program, Dept. of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, College of Pharmacy, 1 MSC 09 5360, University of New Mexico, Albuquerque, NM, 87131, USA.
Johnnye LewisCommunity Environmental Health Program, Dept. of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, College of Pharmacy, 1 MSC 09 5360, University of New Mexico, Albuquerque, NM, 87131, USA.
University of New Mexico · USUniversity of Arizona · US

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
UNM Metals Exposure and Toxicity Assessment on tribal Lands in the Southwest (METALS) Superfund Research ProgramP42ES025589 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CERRATO, JOSE MANUEL · 2017 to 2025
$16.4M
NIEHS NIH HHS P30 ES006694NIEHS NIH HHS P42 ES025589
6 · The paper itself

Abstract

Background: Environmental exposures to metals in uranium mining wastes and drinking water were documented in more than half of the 1304 Navajo community members of the Diné Network for Environmental Health (DiNEH) Project, the first comprehensive assessment of exposures to these metals and community health on the Navajo Nation. Objective: Evaluate environmental exposures among participants who provided blood and urine samples using multiplexed autoantibody positivity as an early effect biomarker. Methods: Survey and geospatial location data, well water quality, and metals biomonitoring were used to assess exposures to mixed-metal wastes from 100 abandoned uranium waste sites. Results: We observed that the prevalence of multiplexed autoantibody positivity in 239 participants was more than double that reported for the U.S. population (27.2% v. 13.8%) even though the national prevalence was generated using a different assay, the HEp-2 cell-based antinuclear antibody test. Increased risk of multiplexed autoantibody screening positivity (OR = 3.07,95%CI 1.15-8.22) was found among DiNEH study people who lived close to uranium mine and milling wastes and consumed metals in drinking water. Associations for females were even stronger when they lived closed to contaminated uranium mining and milling sites. Conclusion: Proximity to waste sites and consumption of metals in water even below current drinking water standards were associated with perturbations of immune tolerance. These findings are consistent with previous studies of autoimmunity in the local population and demonstrate that multiplexed autoantibody screening method has a potential as sentinel indicator of exposures to environmental metals. Impact statement: This is the first, community-engaged environmental health study in exposed Navajo communities that applied clinical multiplexed testing in risk assessment of environmental metals associated with abandoned, unremediated uranium mining and milling waste sites. Routine clinical autoimmunity measures could be used as early effect biomarkers of environmental metal exposures.

Indexed as

AutoantibodiesMetal mixturesMetal toxicityNative AmericanNavajo nationUranium mines

Identifiers

PMID37169001
PMCPMC10165442
OpenAlexW4366401402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.