Evidence map›Paper›PMID 23227177›Full record

ArticlePloS one2012

Urinary benzene biomarkers and DNA methylation in Bulgarian petrochemical workers: study findings and comparison of linear and beta regression models.

Wei Jie Seow, Angela Cecilia Pesatori, Emmanuel Dimont, Peter B Farmer, Benedetta Albetti, Adrienne S Ettinger, Valentina Bollati, Claudia Bolognesi, Paola Roggieri, Teodor I Panev and 4 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 77 citations in OpenAlex.

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  19. Aberrant DNA Methylation of Two Tumor Suppressor Genes,The international journal of occupational and environmental medicine · 2018
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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

14 authors at 7 institutions in 4 countries.

Wei Jie SeowDepartment of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, United States of America. wes480@mail.harvard.edu
Angela Cecilia Pesatori
Emmanuel Dimont
Peter B Farmer
Benedetta Albetti
Adrienne S Ettinger
Valentina Bollati
Claudia Bolognesi
Paola Roggieri
Teodor I Panev
Tzveta Georgieva
Domenico Franco Merlo
Pier Alberto Bertazzi
Andrea A Baccarelli
University of Milan · ITHarvard University · USNational Center of Public Health and Analyses · BGFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Leicester · GBYale University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Environment, Fetal Tissue DNA Methylation & BirthweightR01ES020268 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2011 to 2013
$2.5M
Molecular and Epigenetic Mitochondriomics of Air Particles, Lead and CognitionR01ES021733 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA · 2012 to 2015
$2.4M
Micro-RNA Profiling and Cardiovascular Effects of Traffic Particle ExposureR21ES020010 · NIEHS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BACCARELLI, ANDREA, HOU, LIFANG · 2011 to 2012
$443k
Air Pollution, Epigenetics and Cardiovascular Health: A Human Intervention TrialR21ES021895 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA · 2012 to 2013
$376k
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30ES000002NIEHS NIH HHS R01 ES020268NIEHS NIH HHS R01ES020268NIEHS NIH HHS R01 ES021733NIEHS NIH HHS R01ES021733NIEHS NIH HHS R21 ES020010NIEHS NIH HHS R21ES020010NIEHS NIH HHS R21 ES021895NIEHS NIH HHS R21ES021895
6 · The paper itself

Abstract

Chronic occupational exposure to benzene is associated with an increased risk of hematological malignancies such as acute myeloid leukemia (AML), but the underlying mechanisms are still unclear. The main objective of this study was to investigate the association between benzene exposure and DNA methylation, both in repeated elements and candidate genes, in a population of 158 Bulgarian petrochemical workers and 50 unexposed office workers. Exposure assessment included personal monitoring of airborne benzene at work and urinary biomarkers of benzene metabolism (S-phenylmercapturic acid [SPMA] and trans,trans-muconic acid [t,t-MA]) at the end of the work-shift. The median levels of airborne benzene, SPMA and t,t-MA in workers were 0.46 ppm, 15.5 µg/L and 711 µg/L respectively, and exposure levels were significantly lower in the controls. Repeated-element DNA methylation was measured in Alu and LINE-1, and gene-specific methylation in MAGE and p15. DNA methylation levels were not significantly different between exposed workers and controls (P>0.05). Both ordinary least squares (OLS) and beta-regression models were used to estimate benzene-methylation associations. Beta-regression showed better model specification, as reflected in improved coefficient of determination (pseudo R(2)) and Akaike's information criterion (AIC). In beta-regression, we found statistically significant reductions in LINE-1 (-0.15%, P<0.01) and p15 (-0.096%, P<0.01) mean methylation levels with each interquartile range (IQR) increase in SPMA. This study showed statistically significant but weak associations of LINE-1 and p15 hypomethylation with SPMA in Bulgarian petrochemical workers. We showed that beta-regression is more appropriate than OLS regression for fitting methylation data.

Indexed as

Chemical IndustryDNA MethylationOccupational ExposureBenzeneBiomarkersBulgariaHumansModels, TheoreticalBenzeneBiomarkers

Identifiers

PMID23227177
PMCPMC3515615
OpenAlexW2135998607

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.