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

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 betwee...

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Autores principales: Song, Pengcheng, Li, Zhigang, Li, Xiaoqian, Yang, Lixin, Zhang, Lulu, Li, Nannan, Guo, Chen, Lu, Shuyu, Wei, Yongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295340/
https://www.ncbi.nlm.nih.gov/pubmed/28106813
http://dx.doi.org/10.3390/ijerph14010090
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author Song, Pengcheng
Li, Zhigang
Li, Xiaoqian
Yang, Lixin
Zhang, Lulu
Li, Nannan
Guo, Chen
Lu, Shuyu
Wei, Yongjie
author_facet Song, Pengcheng
Li, Zhigang
Li, Xiaoqian
Yang, Lixin
Zhang, Lulu
Li, Nannan
Guo, Chen
Lu, Shuyu
Wei, Yongjie
author_sort Song, Pengcheng
collection PubMed
description 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.
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spelling pubmed-52953402017-02-07 Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles Song, Pengcheng Li, Zhigang Li, Xiaoqian Yang, Lixin Zhang, Lulu Li, Nannan Guo, Chen Lu, Shuyu Wei, Yongjie Int J Environ Res Public Health Article 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. MDPI 2017-01-18 2017-01 /pmc/articles/PMC5295340/ /pubmed/28106813 http://dx.doi.org/10.3390/ijerph14010090 Text en © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Song, Pengcheng
Li, Zhigang
Li, Xiaoqian
Yang, Lixin
Zhang, Lulu
Li, Nannan
Guo, Chen
Lu, Shuyu
Wei, Yongjie
Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles
title Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles
title_full Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles
title_fullStr Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles
title_full_unstemmed Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles
title_short Transcriptome Profiling of the Lungs Reveals Molecular Clock Genes Expression Changes after Chronic Exposure to Ambient Air Particles
title_sort transcriptome profiling of the lungs reveals molecular clock genes expression changes after chronic exposure to ambient air particles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295340/
https://www.ncbi.nlm.nih.gov/pubmed/28106813
http://dx.doi.org/10.3390/ijerph14010090
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