Evidence map›Paper›PMID 30522001›Full record

ArticleEnvironment international2019

Impact of short-term traffic-related air pollution on the metabolome - Results from two metabolome-wide experimental studies.

Karin van Veldhoven, Agneta Kiss, Pekka Keski-Rahkonen, Nivonirina Robinot, Augustin Scalbert, Paul Cullinan, Kian Fan Chung, Peter Collins, Rudy Sinharay, Benjamin M Barratt and 10 more

Abstract read
In one paragraph

Article in Environment international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Metabolomic evaluation of air pollution-related bone damage and potential mediation in Women's Health Initiative participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Ambient PMEnvironment international · 2021
    Article
  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

20 authors.

Karin van VeldhovenMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Agneta KissInternational Agency for Research on Cancer (IARC), Lyon, France.
Pekka Keski-RahkonenInternational Agency for Research on Cancer (IARC), Lyon, France.
Nivonirina RobinotInternational Agency for Research on Cancer (IARC), Lyon, France.
Augustin ScalbertInternational Agency for Research on Cancer (IARC), Lyon, France.
Paul CullinanNational Heart & Lung Institute, Imperial College London, United Kingdom; Royal Brompton & Harefield NHS Trust, London, United Kingdom.
Kian Fan ChungNational Heart & Lung Institute, Imperial College London, United Kingdom; Royal Brompton & Harefield NHS Trust, London, United Kingdom; King's College London, United Kingdom.
Peter CollinsNational Heart & Lung Institute, Imperial College London, United Kingdom; Royal Brompton & Harefield NHS Trust, London, United Kingdom.
Rudy SinharayNational Heart & Lung Institute, Imperial College London, United Kingdom; Royal Brompton & Harefield NHS Trust, London, United Kingdom.
Benjamin M BarrattKing's College London, United Kingdom.
Mark NieuwenhuijsenBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Albert Ambros RodoredaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Glòria Carrasco-TurigasBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Jelle VlaanderenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Roel VermeulenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Lützen PortengenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Soterios A KyrtopoulosNational Hellenic Research Foundation, Athens, Greece.
Erica PonziMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Marc Chadeau-HyamMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Paolo VineisMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Italian Institute for Genomic Medicine (IIGM), Turin, Italy. Electronic address: p.vineis@imperial.ac.uk.

Funding

British Heart Foundation PG/10/82/28608Medical Research Council MR/L01341X/1World Health Organization 001
6 · The paper itself

Abstract

Exposure to traffic-related air pollution (TRAP) has been associated with adverse health outcomes but underlying biological mechanisms remain poorly understood. Two randomized crossover trials were used here, the Oxford Street II (London) and the TAPAS II (Barcelona) studies, where volunteers were allocated to high or low air pollution exposures. The two locations represent different exposure scenarios, with Oxford Street characterized by diesel vehicles and Barcelona by normal mixed urban traffic. Levels of five and four pollutants were measured, respectively, using personal exposure monitoring devices. Serum samples were used for metabolomic profiling. The association between TRAP and levels of each metabolic feature was assessed. All pollutant levels were significantly higher at the high pollution sites. 29 and 77 metabolic features were associated with at least one pollutant in the Oxford Street II and TAPAS II studies, respectively, which related to 17 and 30 metabolic compounds. Little overlap was observed across pollutants for metabolic features, suggesting that different pollutants may affect levels of different metabolic features. After observing the annotated compounds, the main pathway suggested in Oxford Street II in association with NO

Indexed as

Environmental ExposureMetabolomeTraffic-Related PollutionAgedAir PollutantsCross-Over StudiesEnvironmental MonitoringFemaleHumansLondonMaleMetabolomicsMiddle AgedSpainVehicle EmissionsAir PollutantsVehicle EmissionsMetabolomicsRandomized crossover trialsTraffic related air pollution

Identifiers

PMID30522001
PMCPMC6329888

What OpenQuestion holds

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LicenceCC BY
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.