Evidence map›Paper›PMID 32044442›Full record

ArticleEnvironment international2020

Transcriptomic changes in the nasal epithelium associated with diesel engine exhaust exposure.

E Drizik, S Corbett, Y Zheng, R Vermeulen, Y Dai, W Hu, D Ren, H Duan, Y Niu, J Xu and 18 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

28 authors at 7 institutions in 4 countries.

E DrizikSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
S CorbettBioinformatics Program, Boston University, Boston, MA, USA.
Y ZhengKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: yxzheng@qdu.edu.cn.
R VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Y DaiKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
W HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
D RenChaoyang Center for Disease Control and Prevention, Chaoyang, China.
H DuanKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Y NiuKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
J XuHong Kong University, Hong Kong, China.
W FuChaoyang Center for Disease Control and Prevention, Chaoyang, China.
K MeliefsteInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
B ZhouKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaohui ZhangSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
J YangChaoyang Center for Disease Control and Prevention, Chaoyang, China.
Bryan BassigDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Hanqiao LiuSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
M YeKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Gang LiuSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
X JiaKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
T MengKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
P BinKey Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
J ZhangNicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA; Global Health Research Center, Duke Kunshan University, Kunshan City, Jiangsu Province, China.
D SilvermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
A SpiraSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Bioinformatics Program, Boston University, Boston, MA, USA; The Lung Cancer Initiative at Johnson & Johnson, Cambridge, MA, USA.
N RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
M E LenburgSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Bioinformatics Program, Boston University, Boston, MA, USA. Electronic address: mlenburg@bu.edu.
Q LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
National Institute for Occupational Health and Poison Control · CNBoston University · USBeijing Chaoyang Emergency Medical Center · CNDivision of Cancer Epidemiology and GeneticsUtrecht University · NLNational Cancer Institute · USUniversity of Hong Kong · HK

Funding

BIOLOGY OF THE LUNG--MULTIDISCIPLINARY PROGRAMT32HL007035 · BOSTON UNIVERSITY MEDICAL CAMPUS · 1985 to 2025
$5.8M
Molecular Epidemiology Studies of Occupational and Environmental ExposuresZIACP010121 · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · 2025 to 2025
$1.2M
Studies of Occupational CancerZIACP010120 · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · 2025 to 2025
$523k
STUDIES OF OCCUPATIONAL CANCER--MOLECULAR EPIDEMIOLOGYZ01CP010121 · CANCER EPIDEMIOLOGY AND GENETICS · 1997 to 2005
–
Intramural NIH HHS Z01 CP010121Intramural NIH HHS ZIA CP010121NHLBI NIH HHS R01 HL118542NHLBI NIH HHS T32 HL007035NIEHS NIH HHS R01 ES020425
6 · The paper itself

Abstract

backgroundDiesel engine exhaust (DEE) exposure causes lung cancer, but the molecular mechanisms by which this occurs are not well understood.

objectivesTo assess transcriptomic alterations in nasal epithelium of DEE-exposed factory workers to better understand the cellular and molecular effects of DEE.

methodsNasal epithelial brushings were obtained from 41 diesel engine factory workers exposed to relatively high levels of DEE (17.2-105.4 μg/m

results225 genes had expression associated with DEE exposure after adjusting for smoking status (FDR q < 0.25) and were enriched for genes in pathways related to oxidative stress response, cell cycle pathways such as MAPK/ERK, protein modification, and transmembrane transport. Genes up-regulated in DEE-exposed individuals were enriched among the genes most up-regulated by cigarette smoking in a previously reported bronchial airway smoking dataset. We also found that the DEE signature was enriched among the genes most altered in two previous studies of the effects of acute DEE on PBMC gene expression. An exposure-response relationship was demonstrated between air levels of elemental carbon and the first principal component of the DEE signature.

conclusionsA gene expression signature was identified for workers occupationally exposed to DEE that was altered in an exposure-dependent manner and had some overlap with the effects of smoking and the effects of acute DEE exposure. This is the first study of gene expression in nasal epithelial cells of workers heavily exposed to DEE and provides new insights into the molecular alterations that occur with DEE exposure.

Indexed as

Nasal MucosaOccupational ExposureTranscriptomeVehicle EmissionsHumansLeukocytes, MononuclearVehicle EmissionsDiesel engine exhaustLung cancerMicroarrayOccupational exposure

Identifiers

PMID32044442
PMCPMC8725607
OpenAlexW3005184359

What Socratic 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 Socratic graph.