Evidence map›Paper›PMID 21619715›Full record

ArticleJournal of occupational medicine and toxicology (London, England)2011

Biomarkers of oxidative stress and its association with the urinary reducing capacity in bus maintenance workers.

Jean-Jacques Sauvain, Ari Setyan, Pascal Wild, Philippe Tacchini, Grégoire Lagger, Ferdinand Storti, Simon Deslarzes, Michel Guillemin, Michel J Rossi, Michael Riediker

Open access · goldAbstract read
In one paragraph

Article in Journal of occupational medicine and toxicology (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

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  14. A review of the application of inflammatory biomarkers in epidemiologic cancer research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
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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

10 authors at 5 institutions in 2 countries.

Jean-Jacques Sauvain *Institute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Ari Setyan *Institute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Pascal WildInstitute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Philippe TacchiniEDEL Therapeutics S.A., PSE-B/EPFL, CH-1015 Lausanne, Switzerland.
Grégoire LaggerEDEL Therapeutics S.A., PSE-B/EPFL, CH-1015 Lausanne, Switzerland.
Ferdinand StortiInstitute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Simon DeslarzesInstitute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Michel GuilleminInstitute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Michel J RossiPaul Scherrer Institute, Laboratory of Atmospheric Chemistry (LAC), CH-5232 Villigen PSI, Switzerland.
Michael RiedikerInstitute for Work and Health, University of Lausanne + Geneva, 21 rue du Bugnon, CH-1011 Lausanne, Switzerland.
Institute for Work and Health · CHUniversity of Lausanne · CHÉcole Polytechnique Fédérale de Lausanne · CHPaul Scherrer Institute · CHUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExposure to particles (PM) induces adverse health effects (cancer, cardiovascular and pulmonary diseases). A key-role in these adverse effects seems to be played by oxidative stress, which is an excess of reactive oxygen species relative to the amount of reducing species (including antioxidants), the first line of defense against reactive oxygen species. The aim of this study was to document the oxidative stress caused by exposure to respirable particles in vivo, and to test whether exposed workers presented changes in their urinary levels for reducing species.

methodsBus depot workers (n = 32) exposed to particles and pollutants (respirable PM4, organic and elemental carbon, particulate metal content, polycyclic aromatic hydrocarbons, NOx, O3) were surveyed over two consecutive days. We collected urine samples before and after each shift, and quantified an oxidative stress biomarker (8-hydroxy-2'-deoxyguanosine), the reducing capacity and a biomarker of PAH exposure (1-hydroxypyrene). We used a linear mixed model to test for associations between the oxidative stress status of the workers and their particle exposure as well as with their urinary level of reducing species.

resultsWorkers were exposed to low levels of respirable PM4 (range 25-71 μg/m3). However, urinary levels of 8-hydroxy-2'-deoxyguanosine increased significantly within each shift and between both days for non-smokers. The between-day increase was significantly correlated (p < 0.001) with the concentrations of organic carbon, NOx, and the particulate copper content. The within-shift increase in 8OHdG was highly correlated to an increase of the urinary reducing capacity (Spearman ρ = 0.59, p < 0.0001).

conclusionsThese findings confirm that exposure to components associated to respirable particulate matter causes a systemic oxidative stress, as measured with the urinary 8OHdG. The strong association observed between urinary 8OHdG with the reducing capacity is suggestive of protective or other mechanisms, including circadian effects. Additional investigations should be performed to understand these observations.

Identifiers

PMID21619715
PMCPMC3135575
OpenAlexW2110342259

What OpenQuestion holds

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LicenceCC BY
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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.