Evidence map›Paper›PMID 39002648›Full record

ArticleNeurotoxicology2024

Do toenail manganese and iron levels reflect brain metal levels or brain metabolism in welders?

Gianna Nossa, Humberto Monsivais, Chang Geun Lee, Grace Francis, Ellen M Wells, Jae Hong Park, Ulrike Dydak

Abstract read
In one paragraph

Article in Neurotoxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Gianna NossaSchool of Health Sciences, Purdue University, West Lafayette, IN, United States.
Humberto MonsivaisSchool of Health Sciences, Purdue University, West Lafayette, IN, United States.
Chang Geun LeeSchool of Health Sciences, Purdue University, West Lafayette, IN, United States.
Grace FrancisSchool of Health Sciences, Purdue University, West Lafayette, IN, United States.
Ellen M WellsSchool of Health Sciences, Purdue University, West Lafayette, IN, United States; Department of Public Health, Purdue University, West Lafayette, IN, United States.
Jae Hong ParkSchool of Health Sciences, Purdue University, West Lafayette, IN, United States.
Ulrike DydakSchool of Health Sciences, Purdue University, West Lafayette, IN, United States; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States. Electronic address: udydak@purdue.edu.

Funding

University of Cincinnati Education and Research CenterT42OH008432 · OH · UNIVERSITY OF CINCINNATI · PI DAVIS, KERMIT G. · 2005 to 2025
$32.7M
University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Neuroimaging of Manganese ToxicityR01ES032478 · NIEHS · PURDUE UNIVERSITY · PI Ulrike Dydak · 2021 to 2026
$2.8M
3T MRI Scanner dedicated to Life Sciences ResearchS10OD012336 · OD · PURDUE UNIVERSITY · PI DYDAK, ULRIKE · 2015 to 2015
$2.0M
Quantitative MRI and Network Science Applications in Manganese NeurotoxicityF31ES035299 · NIEHS · PURDUE UNIVERSITY · PI MONSIVAIS, HUMBERTO · 2024 to 2024
$27k
NIEHS NIH HHS F31 ES035299NIEHS NIH HHS R01 ES032478NIH HHS S10 OD012336NIOSH CDC HHS T03 OH008615NIOSH CDC HHS T42 OH008432NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

Inhalation of welding fumes can cause metal accumulation in the brain, leading to Parkinsonian-like symptoms. Metal accumulation and altered neurochemical profiles have been observed using magnetic resonance imaging (MRI) in highly exposed welders, being associated with decreased motor function and cognition. While MRI is impractical to use as a health risk assessment tool in occupational settings, toenail metal levels are easier to assess and have been demonstrated to reflect an exposure window of 7-12 months in the past. Yet, it is unclear whether toenail metal levels are associated with brain metal levels or changes in metabolism, which are the root of potential health concerns. This study investigates whether toenail manganese (Mn) and iron (Fe) levels, assessed at several time points, correlate with brain Mn and Fe levels, measured by MRI, as well as brain GABA, glutamate (Glu), and glutathione (GSH) levels, measured by Magnetic Resonance Spectroscopy (MRS), in seventeen Mn-exposed welders. Quantitative T1 and R2* MRI maps of the whole brain, along with GABA, Glu, and GSH MRS measurements from the thalamus and cerebellum were acquired at baseline (T0). Toenail clippings were collected at T0 and every three months after the MRI for a year to account for different exposure periods being reflected by toenail clippings and MRI. Spearman correlations of toenail metal levels were run against brain metal and metabolite levels, but no significant associations were found for Mn at any timepoint. Cerebellar GSH positively correlated with toenail Fe clipped twelve months after the MRI (p = 0.05), suggesting an association with Fe exposure at the time of the MRI. Neither thalamic GABA nor Glu correlated with toenail Fe levels. In conclusion, this study cannot support toenail Mn as a proxy for brain Mn levels or metabolic changes, while toenail Fe appears linked to brain metabolic alterations, underscoring the importance of considering other metals, including Fe, in studying Mn neurotoxicity.

Indexed as

BrainIronMagnetic Resonance ImagingManganeseNailsOccupational ExposureWeldingAdultAir Pollutants, OccupationalFemalegamma-Aminobutyric AcidGlutamic AcidGlutathioneHumansMagnetic Resonance SpectroscopyMaleAir Pollutants, Occupationalgamma-Aminobutyric AcidGlutamic AcidGlutathioneIronManganeseBiomarkersManganeseMRIToenailsWelding

Identifiers

PMID39002648
PMCPMC11701723

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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.