Evidence map›Paper›PMID 24257509›Full record

ArticleEpidemiology (Cambridge, Mass.)2014

Ambient particulate air pollution and microRNAs in elderly men.

Serena Fossati, Andrea Baccarelli, Antonella Zanobetti, Mirjam Hoxha, Pantel S Vokonas, Robert O Wright, Joel Schwartz

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. The Salutary Influence of Forest Bathing on Elderly Patients with Chronic Heart Failure.International journal of environmental research and public health · 2017
    Trial
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Real-world PMEnvironmental science and pollution research international · 2022
    Article
  17. Article
  18. Review
  19. The critical role of epigenetic mechanism in PMGenes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    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

7 authors at 5 institutions in 3 countries.

Serena FossatiFrom the Departments of aEnvironmental Health and cEpidemiology, Harvard School of Public Health, Boston, MA; bDepartment of Biomedical and Clinical Sciences "Luigi Sacco," University of Milan, Milan, Italy; dLaboratory of Environmental Epigenetics, Department of Environmental and Occupational Health, University of Milan, Milan, Italy; eVA Normative Aging Study, Veterans Affairs Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA; and fGenetic Epidemiology Unit, Channing Laboratory, Brigham and Women's Hospital, Boston, MA.
Andrea Baccarelli
Antonella Zanobetti
Mirjam Hoxha
Pantel S Vokonas
Robert O Wright
Joel Schwartz
Environmental Health · GBBoston University · USLuigi Sacco Hospital · ITMassachusetts Department of Public Health · USUniversity of Milan · IT

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Effect of Ambient Particles on Acute Stroke OnsetP01ES009825 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DOCKERY, DOUGLAS W · 1999 to 2009
$17.4M
Superfund Metal Mixtures, Biomarkers and NeurodevelopmentP42ES016454 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BELLINGER, DAVID C · 2010 to 2015
$10.1M
Epigenetic Effects of Particles and Metals on Cardiac Health of an Aging CohortR01ES015172 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2006 to 2015
$4.8M
Cardiovascular Effects of Particles:The Role of Oxidative Stress and Metal PathwR01ES014663 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2008 to 2011
$1.9M
Micro-RNA Profiling and Cardiovascular Effects of Traffic Particle ExposureR21ES020010 · NIEHS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BACCARELLI, ANDREA, HOU, LIFANG · 2011 to 2012
$443k
NIEHS NIH HHS 1-R01 ES015172NIEHS NIH HHS 2-R01 ES015172NIEHS NIH HHS ES00002NIEHS NIH HHS ES009825NIEHS NIH HHS ES014663NIEHS NIH HHS ES020010NIEHS NIH HHS P01 ES009825NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES023515NIEHS NIH HHS P42 ES016454NIEHS NIH HHS R01 ES014663NIEHS NIH HHS R01 ES015172NIEHS NIH HHS R21 ES020010
6 · The paper itself

Abstract

backgroundAmbient particulate matter (PM) has been associated with mortality and morbidity for cardiovascular disease. MicroRNAs control gene expression at a posttranscriptional level. Altered microRNA expression has been reported in processes related to cardiovascular disease and PM exposure, such as systemic inflammation, endothelial dysfunction, and atherosclerosis. Polymorphisms in microRNA-related genes could influence response to PM.

methodsWe investigated the association of exposure to ambient particles in several time windows (4-hour to 28-day moving averages) and blood leukocyte expression changes in 14 candidate microRNAs in 153 elderly males from the Normative Aging Study (examined 2005-2009). Potential effect modification by six single nucleotide polymorphisms (SNPs) in three microRNA-related genes was investigated. Fine PM (PM2.5), black carbon, organic carbon, and sulfates were measured at a stationary ambient monitoring site. Linear regression models, adjusted for potential confounders, were used to assess effects of particles and SNP-by-pollutant interaction. An in silico pathway analysis was performed on target genes of microRNAs associated with the pollutants.

resultsWe found a negative association for pollutants in all moving averages and miR-1, -126, -135a, -146a, -155, -21, -222, and -9. The strongest associations were observed with the 7-day moving averages for PM2.5 and black carbon and with the 48-hour moving averages for organic carbon. The association with sulfates was stable across the moving averages. The in silico pathway analysis identified 18 pathways related to immune response shared by at least two microRNAs; in particular, the "high-mobility group protein B1/advanced glycosylation end product-specific receptor signaling pathway" was shared by miR-126, -146a, -155, -21, and -222. No important associations were observed for miR-125a-5p, -125b, -128, -147, -218, and -96. We found significant SNP-by-pollutant interactions for rs7813, rs910925, and rs1062923 in GEMIN4 and black carbon and PM2.5 for miR-1, -126, -146a, -222, and -9, and for rs1640299 in DGCR8 and SO4 for miR-1 and -135a.

conclusionsExposure to ambient particles could cause a downregulation of microRNAs involved in processes related to PM exposure. Polymorphisms in GEMIN4 and DGCR8 could modify these associations.

Indexed as

Air PollutantsGene-Environment InteractionParticulate MatterAgedAged, 80 and overAir PollutionCardiovascular DiseasesCohort StudiesDown-RegulationGene Expression RegulationHumansLinear ModelsMaleMicroRNAsMinor Histocompatibility AntigensMultivariate AnalysisAir PollutantsDGCR8 protein, humanGEMIN4 protein, humanMicroRNAsMinor Histocompatibility AntigensMIR222, humanMIRN126 microRNA, humanMIRN135 microRNA, humanMIRN146 microRNA, humanMIRN155 microRNA, humanMIRN1 microRNA, humanMIRN21 microRNA, humanMIRN92 microRNA, humanParticulate MatterProteinsRibonucleoproteins, Small NuclearRNA-Binding ProteinsSootSulfates

Identifiers

PMID24257509
PMCPMC3977338
OpenAlexW1986064904

What OpenQuestion holds

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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.