Evidence map›Paper›PMID 28821289›Full record

ArticleEnvironmental health : a global access science source2017

Transcriptome-wide analyses indicate mitochondrial responses to particulate air pollution exposure.

Ellen Winckelmans, Tim S Nawrot, Maria Tsamou, Elly Den Hond, Willy Baeyens, Jos Kleinjans, Wouter Lefebvre, Nicolas Van Larebeke, Martien Peusens, Michelle Plusquin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The lag effect of exposure to PMEnvironmental science and pollution research international · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Ambient Pollution-related Reprogramming of the Human Small Airway Epithelial Transcriptome.American journal of respiratory and critical care medicine · 2018
    Article
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

15 authors at 9 institutions in 3 countries.

Ellen WinckelmansCentre for Environmental Sciences, Hasselt University, Agoralaan gebouw D, B-3590, Diepenbeek, Belgium.
Tim S NawrotCentre for Environmental Sciences, Hasselt University, Agoralaan gebouw D, B-3590, Diepenbeek, Belgium. tim.nawrot@uhasselt.be.
Maria TsamouCentre for Environmental Sciences, Hasselt University, Agoralaan gebouw D, B-3590, Diepenbeek, Belgium.
Elly Den HondProvincial Institute for Hygiene, Antwerp, Belgium.
Willy BaeyensDepartment of Analytical and Environmental Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.
Jos KleinjansDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Wouter LefebvreFlemish Institute for Technological Research, Mol, Belgium.
Nicolas Van LarebekeDepartment of Radiotherapy and Nuclear Medicine, Ghent University, Ghent, Belgium.
Martien PeusensCentre for Environmental Sciences, Hasselt University, Agoralaan gebouw D, B-3590, Diepenbeek, Belgium.
Michelle PlusquinCentre for Environmental Sciences, Hasselt University, Agoralaan gebouw D, B-3590, Diepenbeek, Belgium.
Hans ReyndersEnvironment, Nature and Energy Department, Flemish Government, Brussels, Belgium.
Greet SchoetersFlemish Institute for Technological Research, Mol, Belgium.
Charlotte VanpouckeBelgian Interregional Environment Agency (IRCEL), Brussels, Belgium.
Theo M de KokDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Karen VrijensCentre for Environmental Sciences, Hasselt University, Agoralaan gebouw D, B-3590, Diepenbeek, Belgium.
Hasselt University · BEMaastricht University · NLBelgian Development Agency · BEFlemish Government · BEFlemish Institute for Technological Research · BEGhent University Hospital · BEProvincial Institute for Hygiene · BEUniversity of Southern Denmark · DKVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to their lack of repair capacity mitochondria are critical targets for environmental toxicants. We studied genes and pathways reflecting mitochondrial responses to short- and medium-term PM

methodsWhole genome gene expression was measured in peripheral blood of 98 adults (49% women). We performed linear regression analyses stratified by sex and adjusted for individual and temporal characteristics to investigate alterations in gene expression induced by short-term (week before blood sampling) and medium-term (month before blood sampling) PM

resultsOverrepresentation analyses revealed significant pathways (p-value <0.05) related to mitochondrial genome maintenance and apoptosis for short-term exposure and to the electron transport chain (ETC) for medium-term exposure in women. For men, medium-term PM

conclusionsIn this exploratory study, we identified mitochondrial genes and pathways associated with particulate air pollution indicating upregulation of energy producing pathways as a potential mechanism to compensate for PM-induced mitochondrial damage.

Indexed as

Environmental ExposureAgedAir PollutantsBelgiumCohort StudiesEnvironmental MonitoringFemaleGene Expression ProfilingGenes, MitochondrialHumansMaleMiddle AgedParticulate MatterReal-Time Polymerase Chain ReactionSex FactorsTranscriptomeAir PollutantsParticulate MatterAmbient air pollutionParticulate matterSex-specific, mitochondriaTranscriptome-wide analyses

Identifiers

PMID28821289
PMCPMC5563023
OpenAlexW2747623800

What OpenQuestion holds

Textmetadata
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.