Evidence map›Paper›PMID 42386730›Full record

ArticleNPJ Parkinson's disease2026

Untargeted serum metabolomics and air pollution in Parkinson's disease.

Dayoon Kwon, Kimberly C Paul, Yuyuan Lin, Danielle N Thordarson, Jun Wu, Jason Su, Dean P Jones, Jeff M Bronstein, Beate Ritz

Abstract read
PubMed Publisher
In one paragraph

Article in NPJ Parkinson's disease, 2026. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Dayoon KwonDepartment of Epidemiology and Population Health, School of Medicine, Stanford University, Stanford, CA, USA.
Kimberly C PaulDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Yuyuan LinDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
Danielle N ThordarsonDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Jun WuDepartment of Environmental and Occupational Health, School of Population and Public Health, University of California, Irvine, CA, USA.
Jason SuDepartment of Environmental Health Sciences, University of California, Berkeley, CA, USA.
Dean P JonesDepartment of Medicine, School of Medicine, Emory University, Atlanta, GA, USA.
Jeff M BronsteinDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Beate RitzDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. britz@ucla.edu.

Funding

PARKINSON'S DISEASES SUSCEPTIBILITY GENES AND PESTICIDESR01ES010544 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2000 to 2015
$5.7M
Microbiome, Pesticides and Parkinsons in LatinosR01ES031106 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2020 to 2025
$3.8M
Environment, Metabolomics, and PDR21ES030175 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2019 to 2020
$443k
National Institute of Environmental Health Sciences, United States 2R01ES010544, R56ES026600, R21ES032593NIEHS NIH HHS R01 ES010544NIEHS NIH HHS R01 ES031106NIEHS NIH HHS R21 ES030175
6 · The paper itself

Abstract

Mechanisms linking air pollution to Parkinson's disease (PD) remain unclear despite consistent toxicological and epidemiological evidence. In this exploratory study, we investigated metabolic disturbances associated with air pollution in PD using untargeted metabolomics. Serum samples were collected from 616 PD patients and 271 controls in central California, a region with high air pollution. Exposures to particulate matter (PM

Identifiers

PMID42386730

What OpenQuestion holds

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Registered trials

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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.