Evidence map›Paper›PMID 38464233›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Metal mixtures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study.

Dae Gyu Jang, John Dou, Emily J Koubek, Samuel Teener, Lili Zhao, Kelly M Bakulski, Bhramar Mukherjee, Stuart A Batterman, Eva L Feldman, Stephen A Goutman

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Dae Gyu JangDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0009-0009-7966-1322
John DouDepartment of Epidemiology, University of Michigan, Ann Arbor, MI.
Emily J KoubekDepartment of Neurology, University of Michigan, Ann Arbor, MI.
Samuel TeenerDepartment of Neurology, University of Michigan, Ann Arbor, MI.
Lili ZhaoDepartment of Biostatistics, Corewell Health, Royal Oak, MI.
Kelly M BakulskiDepartment of Epidemiology, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-9605-6337
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.ORCID 0000-0003-0118-4561
Stuart A BattermanDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI.
Eva L FeldmanDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-9162-2694
Stephen A GoutmanDepartment of Neurology, University of Michigan, Ann Arbor, MI.ORCID 0000-0001-8780-6637
University of Michigan · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI KEITH D. PAULSEN · 1985 to 2026
$91.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AMY J SCHULZ · 2011 to 2026
$21.3M
Mapping the ALS Exposome to Gain New Insights into Disease Risk and PathogenesisR01ES030049 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, FELDMAN, EVA LUCILLE · 2020 to 2024
$3.5M
Developing novel strategies for personalized treatment and prevention of ALS: Leveraging the global exposome, genome, epigenome, metabolome, and inflammasome with data science in a case/control cohortR01NS127188 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, FELDMAN, EVA LUCILLE · 2021 to 2024
$3.4M
RFA-TS-23-001: Establishing the Cohort for Occupational Risk and Prevention Studies for Amyotrophic Lateral Sclerosis (ALS CORPS)R01TS000344 · TS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FELDMAN, EVA LUCILLE, GOUTMAN, STEPHEN · 2023 to 2025
$1.5M
Impact of Geospatial Factors and Environmental Pollutants on Amyotrophic Lateral Sclerosis in the State of MichiganK23ES027221 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GOUTMAN, STEPHEN · 2017 to 2021
$1.0M
ACL HHS R01TS000344ATSDR CDC HHS R01 TS000344NCI NIH HHS P30 CA023108NIEHS NIH HHS K23 ES027221NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES030049NINDS NIH HHS R01 NS127188
6 · The paper itself

Abstract

Background: The pathogenesis of amyotrophic lateral sclerosis (ALS) involves both genetic and environmental factors. This study investigates associations between metal measures in plasma and urine, ALS risk and survival, and exposure sources. Methods: Participants with and without ALS from Michigan provided plasma and urine samples for metal measurement via inductively coupled plasma mass spectrometry. Odds and hazard ratios for each metal were computed using risk and survival models. Environmental risk scores (ERS) were created to evaluate the association between exposure mixtures and ALS risk and survival and exposure source. ALS (ALS-PGS) and metal (metal-PGS) polygenic risk scores were constructed from an independent genome-wide association study and relevant literature-selected SNPs. Results: Plasma and urine samples from 454 ALS and 294 control participants were analyzed. Elevated levels of individual metals, including copper, selenium, and zinc, significantly associated with ALS risk and survival. ERS representing metal mixtures strongly associated with ALS risk (plasma, OR=2.95, CI=2.38-3.62, Conclusion: Metals in plasma and urine associated with increased ALS risk and reduced survival, independent of genetic risk, and correlated with occupational and non-occupational metal exposures. These data underscore the significance of metal exposure in ALS risk and progression.

Indexed as

Amyotrophic lateral sclerosis (ALS)environmental risk scoremetalspolygenic risk score

Identifiers

PMID38464233
PMCPMC10925361
OpenAlexW4392242324

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.