Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air ParticlesReportar como inadecuado


Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles


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1

College of Environmental Science and Engineering, Dong Hua University, Shanghai 201620, China

2

Laboratory of Environmental Criteria and Risk Assessment and Environmental Standards Institute, Chinese Research Academy of Environmental Sciences, Beijing 100012, China



These authors contributed equally to this work.





*

Authors to whom correspondence should be addressed.



Academic Editor: Paul B. Tchounwou

Abstract The symptoms of asthma, breathlessness, insomnia, etc. all have relevance to pulmonary rhythmic disturbances. Epidemiology and toxicology studies have demonstrated that exposure to ambient air particles can result in pulmonary dysfunction. However, there are no data directly supporting a link between air pollution and circadian rhythm disorder. In the present study, we found that breathing highly polluted air resulted in changes of the molecular clock genes expression in lung by transcriptome profiling analyses in a rodent model. Compared to those exposed to filtered air, in both pregnant and offspring rats in the unfiltered group, key clock genes Per1, Per2, Per3, Rev-erbα and Dbp expression level decreased and Bmal1 expression level increased. In both rat dams and their offspring, after continuous exposure to unfiltered air, we observed significant histologic evidence for both perivascular and peribronchial inflammation, increased tissue and systemic oxidative stress in the lungs. Our results suggest that chronic exposure to particulate matter can induce alterations of clock genes expression, which could be another important pathway for explaining the feedbacks of ambient particle exposure in addition to oxidative stress and inflammation. View Full-Text

Keywords: ambient air particles; transcriptome; lung; rhythm; clock genes ambient air particles; transcriptome; lung; rhythm; clock genes





Autor: Pengcheng Song 1,†, Zhigang Li 2,†,* , Xiaoqian Li 2, Lixin Yang 2, Lulu Zhang 2, Nannan Li 2, Chen Guo 2, Shuyu Lu 1 and Yongjie Wei 2,*

Fuente: http://mdpi.com/



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