Evidence map›Paper›PMID 25644845›Full record

ArticleThe Science of the total environment2015

Evaluating the effect of ambient particulate pollution on DNA methylation in Alaskan sled dogs: potential applications for a sentinel model of human health.

Luke Montrose, Curtis W Noonan, Yoon Hee Cho, Joongwon Lee, John Harley, Todd O'Hara, Catherine Cahill, Tony J Ward

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In one paragraph

Article in The Science of the total environment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Luke MontroseCenter for Environmental Health Sciences, University of Montana, Missoula, MT 59812, United States. Electronic address: luke.montrose@umontana.edu.
Curtis W NoonanCenter for Environmental Health Sciences, University of Montana, Missoula, MT 59812, United States.
Yoon Hee ChoCenter for Environmental Health Sciences, University of Montana, Missoula, MT 59812, United States.
Joongwon LeeCenter for Environmental Health Sciences, University of Montana, Missoula, MT 59812, United States.
John HarleyDepartment of Chemistry and Biochemistry, University of Alaska Fairbanks, Fairbanks, AK 99775, United States.
Todd O'HaraDepartment of Veterinary Medicine, University of Alaska Fairbanks, Fairbanks, AK 99775, United States.
Catherine CahillInternational Artic Research Center, University of Alaska Fairbanks, Fairbanks, AK 99775, United States.
Tony J WardCenter for Environmental Health Sciences, University of Montana, Missoula, MT 59812, United States.
University of Alaska Fairbanks · USUniversity of Montana · USCenter for Environmental Health · US

Funding

The Administrative CoreP20GM103395 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI BRIAN M BARNES · 2012 to 2026
$66.1M
Molecular Histology and Fluorescent ImagingP30GM103338 · NIGMS · UNIVERSITY OF MONTANA · PI ROBERTS, KEVAN · 2013 to 2017
$5.6M
NIGMS NIH HHS 5P30GM103338NIGMS NIH HHS P20 GM103395NIGMS NIH HHS P20GM103395NIGMS NIH HHS P30 GM103338
6 · The paper itself

Abstract

backgroundExposure to ambient particulate matter (PM) is known to be associated with increased morbidity and mortality in human populations. During the winter months in Fairbanks, Alaska, severe temperature inversions lead to elevated concentrations of ambient PM smaller than 2.5 μm (PM2.5). Sled dogs represent an easily accessible environmentally exposed population that may yield findings informative for human health risk assessment.

objectivesIn this pilot study, we evaluated whether ambient PM was associated with markers of global methylation in sled dogs.

methodsKennels were strategically recruited to provide a wide PM2.5 exposure gradient for the Fairbanks area. Continuous monitoring of ambient PM2.5 was conducted at each kennel during the winter of 2012/13 using a DustTrak 8530. Dogs received a physical examination and assessment of standard hematology and clinical chemistries. Global methylation was determined using the LUminometric Methylation Assay (LUMA) and 5-Methycytosine (5-mC) quantification.

resultsThree sled dog kennels (n~30 dogs/kennel) were evaluated and sampled. The average PM2.5 concentrations measured for kennels A, B, and C were 90 μg/m(3), 48 μg/m(3), 16 μg/m(3) (p<0.0001), respectively. The average (standard deviation) global methylation percentage for each kennel measured by LUMA was 76.22 (1.85), 76.52 (1.82), and 76.72 (2.26), respectively. The average (standard deviation) global methylation percentage for each kennel measured by 5-mC was 0.16 (0.04), 0.15 (0.04), and 0.15 (0.05), respectively. There was no statistically significant difference between the three kennels and their average global methylation percentage either by LUMA or 5-mC.

conclusionsIn this study we evaluated global methylation using LUMA and 5-mC and found no differences between kennels, though exposure to ambient PM2.5 was significantly different between kennels. As more information becomes available regarding immunologically-related canine genes and functionally active promoter subunits, the utility of this surrogate could increase.

Indexed as

DNA MethylationAir PollutantsAir PollutionAlaskaAnimalsDogsEnvironmental MonitoringHumansParticulate MatterAir PollutantsParticulate MatterAlaskaCanineEnvironmentEpigeneticMethylationpm2.5SentinelWood smoke

Identifiers

PMID25644845
PMCPMC4339619
OpenAlexW2003985631

What OpenQuestion holds

Textmetadata
LicenceTDM
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.