Evidence map›Paper›PMID 20049212›Full record

ArticleEnvironmental health perspectives2009

Traffic-related air pollution, oxidative stress genes, and asthma (ECHRS).

Francesc Castro-Giner, Nino Künzli, Bénédicte Jacquemin, Bertil Forsberg, Rafael de Cid, Jordi Sunyer, Deborah Jarvis, David Briggs, Danielle Vienneau, Dan Norback and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. A Review of theInternational journal of genomics · 2023
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  11. The Effects of Air Pollution on the Development of Atopic Disease.Clinical reviews in allergy & immunology · 2019
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  12. Article
  13. Review
  14. Article
  15. On-Road Chemical Transformation as an Important Mechanism of NOEnvironmental science & technology · 2018
    Article
  16. Review
  17. Environmental factors associated with autism spectrum disorder: a scoping review for the years 2003-2013.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2017
    Article
  18. Article
  19. Review
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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

18 authors at 12 institutions in 7 countries.

Francesc Castro-GinerCentre for Research in Environmental Epidemiology, Barcelona, Spain.
Nino Künzli
Bénédicte Jacquemin
Bertil Forsberg
Rafael de Cid
Jordi Sunyer
Deborah Jarvis
David Briggs
Danielle Vienneau
Dan Norback
Juan R González
Stefano Guerra
Christer Janson
Josep-Maria Antó
Matthias Wjst
Joachim Heinrich
Xavier Estivill
Manolis Kogevinas
Universitat Pompeu Fabra · ESImperial College London · GBCenter for Environmental Health · USCenter for Research in Environmental Epidemiology · ESCentre for Genomic Regulation · ESHelmholtz Zentrum München · DEInserm · FRInstitució Catalana de Recerca i Estudis Avançats · ESLung Institute · USUmeå University · SEUppsala University · SEUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraffic-related air pollution is related with asthma, and this association may be modified by genetic factors.

objectivesWe investigated the role of genetic polymorphisms potentially modifying the association between home outdoor levels of modeled nitrogen dioxide and asthma.

methodsAdults from 13 cities of the second European Community Respiratory Health Survey (ECRHS II) were included (n = 2,920), for whom both DNA and outdoor NO(2) estimates were available. Home addresses were geocoded and linked to modeled outdoor NO(2) estimates, as a marker of local traffic-related pollution. We examined asthma prevalence and evaluated polymorphisms in genes involved in oxidative stress pathways [gluthatione S-transferases M1 (GSTM1), T1 (GSTT1), and P1 (GSTP1) and NAD(P)H:quinine oxidoreductase (NQO1)], inflammatory response [tumor necrosis factor alpha (TNFA)], immunologic response [Toll-like receptor 4 (TLR4)], and airway reactivity [adrenergic receptor beta2 (ADRB2)].

resultsThe association between modeled NO(2) and asthma prevalence was significant for carriers of the most common genotypes of NQO1 rs2917666 [odds ratio (OR) = 1.54; 95% confidence interval (CI), 1.10-2.24], TNFA rs2844484 (OR = 2.02; 95% CI, 1.30-3.27). For new-onset asthma, the effect of NO(2) was significant for the most common genotype of NQO1 rs2917666 (OR = 1.52; 95% CI, 1.09-2.16). A significant interaction was found between NQO1 rs2917666 and NO(2) for asthma prevalence (p = 0.02) and new-onset asthma (p = 0.04).

conclusionsGenetic polymorphisms in the NQO1 gene are related to asthma susceptibility among persons exposed to local traffic-related air pollution. This points to the importance of antioxidant pathways in the protection against the effects of air pollution on asthma.

Indexed as

Motor VehiclesPolymorphism, Single NucleotideAdultAir PollutionAsthmaFemaleGlutathione S-Transferase piGlutathione TransferaseHaplotypesHumansMaleMiddle AgedNAD(P)H Dehydrogenase (Quinone)Nitric OxideOxidative StressPrevalenceGlutathione S-Transferase piGlutathione TransferaseGSTP1 protein, humanNAD(P)H Dehydrogenase (Quinone)Nitric OxideNQO1 protein, humanair pollutionasthmagene polymorphismsgeneticsnitrogen dioxideoxidative stresstraffic pollution

Identifiers

PMID20049212
PMCPMC2799467
OpenAlexW2023022656

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.