Evidence map›Paper›PMID 16675421›Full record

ArticleEnvironmental health perspectives2006

Comparison of oxidative properties, light absorbance, total and elemental mass concentration of ambient PM2.5 collected at 20 European sites.

Nino Künzli, Ian S Mudway, Thomas Götschi, Tingming Shi, Frank J Kelly, Sarah Cook, Peter Burney, Bertil Forsberg, James W Gauderman, Marianne E Hazenkamp and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 212 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Oxidative stress response ofFrontiers in microbiology · 2026
    Article
  4. Oxidative potential of PMScientific reports · 2025
    Article
  5. Review
  6. Effect of polycyclic aromatic hydrocarbons on immunity.Journal of translational autoimmunity · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Personal Exposure to PMEnvironmental science & technology · 2018
    Article
  17. Article
  18. Article
  19. Review
  20. 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

17 authors at 11 institutions in 9 countries.

Nino KünzliWorking Group Air Pollution, European Community Respiratory Health Survey, London, United Kingdom. kuenzli@imim.es
Ian S Mudway
Thomas Götschi
Tingming Shi
Frank J Kelly
Sarah Cook
Peter Burney
Bertil Forsberg
James W Gauderman
Marianne E Hazenkamp
Joachim Heinrich
Deborah Jarvis
Dan Norbäck
Felix Payo-Losa
Albino Poli
Jordi Sunyer
Paul J A Borm
King's College London · GBUniversity of Southern California · USHospital Universitario Central de Asturias · ESInstitute of Groundwater Ecology · DELeibniz Institute of Environmental Medicine · DEMunicipal Institute for Medical Research · ESUmeå University · SEUniversity of Basel · CHUniversity of Verona · ITUppsala University Hospital · SEZuyd University of Applied Sciences · NL

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
Urban Air Pollution and Children's Respiratory HealthP01ES011627 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AVOL, EDWARD · 2002 to 2011
$30.2M
NIEHS NIH HHS 5P01ES11627NIEHS NIH HHS P01 ES011627NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30ES07048
6 · The paper itself

Abstract

objectiveIt has been proposed that the redox activity of particles may represent a major determinant of their toxicity. We measured the in vitro ability of ambient fine particles [particulate matter with aerodynamic diameters<or=2.5 microm (PM2.5)] to form hydroxyl radicals (.OH) in an oxidant environment, as well as to deplete physiologic antioxidants (ascorbic acid, glutathione) in the naturally reducing environment of the respiratory tract lining fluid (RTLF). The objective was to examine how these toxicologically relevant measures were related to other PM characteristics, such as total and elemental mass concentration and light absorbance.

designGravimetric PM2.5 samples (n=716) collected over 1 year from 20 centers participating in the European Community Respiratory Health Survey were available. Light absorbance of these filters was measured with reflectometry. PM suspensions were recovered from filters by vortexing and sonication before dilution to a standard concentration. The oxidative activity of these particle suspensions was then assessed by measuring their ability to generate .OH in the presence of hydrogen peroxide, using electron spin resonance and 5,5-dimethyl-1-pyrroline-N-oxide as spin trap, or by establishing their capacity to deplete antioxidants from a synthetic model of the RTLF. RESULTS AND

conclusionPM oxidative activity varied significantly among European sampling sites. Correlations between oxidative activity and all other characteristics of PM were low, both within centers (temporal correlation) and across communities (annual mean). Thus, no single surrogate measure of PM redox activity could be identified. Because these novel measures are suggested to reflect crucial biologic mechanisms of PM, their use may be pertinent in epidemiologic studies. Therefore, it is important to define the appropriate methods to determine oxidative activity of PM.

Indexed as

LightAir PollutantsCross-Sectional StudiesEuropeOxidation-ReductionParticle SizeTime FactorsAir Pollutants

Identifiers

PMID16675421
PMCPMC1459920
OpenAlexW2041904165

What OpenQuestion holds

Textmetadata
LicenceCC0
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.