Evidence map›Paper›PMID 41974974›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Pilot proteomics study for identifying a pollution exposure signature in firefighters.

Victoria Y Ding, Di Lu, Yinyao Ji, Mary M Johnson, Francois Haddad, Juyong B Kim, Benjamin D Horne, Jin-Ah Park, Kari C Nadeau, Manisha Desai and 1 more

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Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

No citing paper in PubMed yet.

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

11 authors.

Victoria Y DingQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Di LuQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Yinyao JiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Mary M JohnsonDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Francois HaddadDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Juyong B KimDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Benjamin D HorneDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jin-Ah ParkDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Kari C NadeauDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Manisha DesaiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Holden T MaeckerHuman Immune Monitoring Center, Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA. maecker@stanford.edu.

Funding

Stanford Center for Clinical and Translational Research and EducationUM1TR004921 · NCATS · STANFORD UNIVERSITY · PI MANISHA DESAI, DEAN W FELSHER · 2024 to 2026
$30.1M
NCATS NIH HHS UM1 TR004921
6 · The paper itself

Abstract

backgroundRecent studies showed that immune and cardiometabolic biomarker levels increased in individuals exposed to air pollution.

objectiveWe sought to identify a pollution exposure signature in a pilot cohort of 54 firefighters and controls in the Bay Area.

methodsWe analyzed Olink-processed proteomics data under multiple approaches for feature selection, including the LASSO. We selected 67 biomarkers related to well-defined pathways for targeted analyses, whereas 1463 unique assays were considered for untargeted analyses.

resultsLevels of angiopoietin 1 and hydroxyacylglutathione hydrolase were consistently higher in firefighters compared to controls. Moreover, matrix metalloproteinase-1, a protein that promotes tumorigenesis, was higher at the visit with greater acute exposure. Fifteen other key biomarkers were jointly identified under untargeted and targeted approaches. Regression analysis found that 10 biomarkers were numerically higher in firefighters with high exposure. SIGNIFICANCE: These analyses demonstrate the potential utility of large-scale plasma proteomics in identifying a pollution exposure signature. IMPACT STATEMENT: Exposure to particulate matter leads to proteomic changes that are associated with adverse health outcomes. Applying regularization-based feature selection methods to high-dimensional data can identify a small subset of biomarkers for targeted monitoring efforts. Our findings improve understanding of the implications of air pollution for healthy adults and serve as a foundation to developing strategies for mitigating occupational exposure.

Indexed as

Air pollutionExposomicsWildfiresWorkplace exposures

Identifiers

PMID41974974

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.