Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes

Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals i...
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Autor*in:	Junyu Wang [verfasserIn] Yixia Zhang [verfasserIn] Zhijun Zhang [verfasserIn] Wancong Yu [verfasserIn] Ang Li [verfasserIn] Xin Gao [verfasserIn] Danyu Lv [verfasserIn] Huaize Zheng [verfasserIn] Xiaohong Kou [verfasserIn] Zhaohui Xue [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway

Übergeordnetes Werk:	In: Environment International - Elsevier, 2019, 159(2022), Seite 107040-
Übergeordnetes Werk:	volume:159 ; year:2022 ; pages:107040-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.envint.2021.107040

Katalog-ID:	DOAJ074717766

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spelling	10.1016/j.envint.2021.107040 doi (DE-627)DOAJ074717766 (DE-599)DOAJ9fde6adf13414f249cc5659bb60957d1 DE-627 ger DE-627 rakwb eng GE1-350 Junyu Wang verfasserin aut Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10. PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway Environmental sciences Yixia Zhang verfasserin aut Zhijun Zhang verfasserin aut Wancong Yu verfasserin aut Ang Li verfasserin aut Xin Gao verfasserin aut Danyu Lv verfasserin aut Huaize Zheng verfasserin aut Xiaohong Kou verfasserin aut Zhaohui Xue verfasserin aut In Environment International Elsevier, 2019 159(2022), Seite 107040- (DE-627)306580829 (DE-600)1497569-5 01604120 nnns volume:159 year:2022 pages:107040- https://doi.org/10.1016/j.envint.2021.107040 kostenfrei https://doaj.org/article/9fde6adf13414f249cc5659bb60957d1 kostenfrei http://www.sciencedirect.com/science/article/pii/S0160412021006656 kostenfrei https://doaj.org/toc/0160-4120 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 159 2022 107040-
allfields_unstemmed	10.1016/j.envint.2021.107040 doi (DE-627)DOAJ074717766 (DE-599)DOAJ9fde6adf13414f249cc5659bb60957d1 DE-627 ger DE-627 rakwb eng GE1-350 Junyu Wang verfasserin aut Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10. PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway Environmental sciences Yixia Zhang verfasserin aut Zhijun Zhang verfasserin aut Wancong Yu verfasserin aut Ang Li verfasserin aut Xin Gao verfasserin aut Danyu Lv verfasserin aut Huaize Zheng verfasserin aut Xiaohong Kou verfasserin aut Zhaohui Xue verfasserin aut In Environment International Elsevier, 2019 159(2022), Seite 107040- (DE-627)306580829 (DE-600)1497569-5 01604120 nnns volume:159 year:2022 pages:107040- https://doi.org/10.1016/j.envint.2021.107040 kostenfrei https://doaj.org/article/9fde6adf13414f249cc5659bb60957d1 kostenfrei http://www.sciencedirect.com/science/article/pii/S0160412021006656 kostenfrei https://doaj.org/toc/0160-4120 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 159 2022 107040-
allfieldsGer	10.1016/j.envint.2021.107040 doi (DE-627)DOAJ074717766 (DE-599)DOAJ9fde6adf13414f249cc5659bb60957d1 DE-627 ger DE-627 rakwb eng GE1-350 Junyu Wang verfasserin aut Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10. PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway Environmental sciences Yixia Zhang verfasserin aut Zhijun Zhang verfasserin aut Wancong Yu verfasserin aut Ang Li verfasserin aut Xin Gao verfasserin aut Danyu Lv verfasserin aut Huaize Zheng verfasserin aut Xiaohong Kou verfasserin aut Zhaohui Xue verfasserin aut In Environment International Elsevier, 2019 159(2022), Seite 107040- (DE-627)306580829 (DE-600)1497569-5 01604120 nnns volume:159 year:2022 pages:107040- https://doi.org/10.1016/j.envint.2021.107040 kostenfrei https://doaj.org/article/9fde6adf13414f249cc5659bb60957d1 kostenfrei http://www.sciencedirect.com/science/article/pii/S0160412021006656 kostenfrei https://doaj.org/toc/0160-4120 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 159 2022 107040-
allfieldsSound	10.1016/j.envint.2021.107040 doi (DE-627)DOAJ074717766 (DE-599)DOAJ9fde6adf13414f249cc5659bb60957d1 DE-627 ger DE-627 rakwb eng GE1-350 Junyu Wang verfasserin aut Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10. PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway Environmental sciences Yixia Zhang verfasserin aut Zhijun Zhang verfasserin aut Wancong Yu verfasserin aut Ang Li verfasserin aut Xin Gao verfasserin aut Danyu Lv verfasserin aut Huaize Zheng verfasserin aut Xiaohong Kou verfasserin aut Zhaohui Xue verfasserin aut In Environment International Elsevier, 2019 159(2022), Seite 107040- (DE-627)306580829 (DE-600)1497569-5 01604120 nnns volume:159 year:2022 pages:107040- https://doi.org/10.1016/j.envint.2021.107040 kostenfrei https://doaj.org/article/9fde6adf13414f249cc5659bb60957d1 kostenfrei http://www.sciencedirect.com/science/article/pii/S0160412021006656 kostenfrei https://doaj.org/toc/0160-4120 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 159 2022 107040-
language	English
source	In Environment International 159(2022), Seite 107040- volume:159 year:2022 pages:107040-
sourceStr	In Environment International 159(2022), Seite 107040- volume:159 year:2022 pages:107040-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway Environmental sciences
isfreeaccess_bool	true
container_title	Environment International
authorswithroles_txt_mv	Junyu Wang @@aut@@ Yixia Zhang @@aut@@ Zhijun Zhang @@aut@@ Wancong Yu @@aut@@ Ang Li @@aut@@ Xin Gao @@aut@@ Danyu Lv @@aut@@ Huaize Zheng @@aut@@ Xiaohong Kou @@aut@@ Zhaohui Xue @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	306580829
id	DOAJ074717766
language_de	englisch
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callnumber-first	G - Geography, Anthropology, Recreation
author	Junyu Wang
spellingShingle	Junyu Wang misc GE1-350 misc PM10 misc Respiratory system injury misc Bioinformatics analysis misc Molecular targets misc Signaling pathway misc Environmental sciences Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes
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topic_title	GE1-350 Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes PM10 Respiratory system injury Bioinformatics analysis Molecular targets Signaling pathway
topic	misc GE1-350 misc PM10 misc Respiratory system injury misc Bioinformatics analysis misc Molecular targets misc Signaling pathway misc Environmental sciences
topic_unstemmed	misc GE1-350 misc PM10 misc Respiratory system injury misc Bioinformatics analysis misc Molecular targets misc Signaling pathway misc Environmental sciences
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title	Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes
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title_full	Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes
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author_browse	Junyu Wang Yixia Zhang Zhijun Zhang Wancong Yu Ang Li Xin Gao Danyu Lv Huaize Zheng Xiaohong Kou Zhaohui Xue
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title_sort	toxicology of respiratory system: profiling chemicals in pm10 for molecular targets and adverse outcomes
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title_auth	Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes
abstract	Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10.
abstractGer	Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10.
abstract_unstemmed	Numerous studies have shown that the increasing trend of respiratory diseases have been closely associated with the endogenous toxic chemicals (polycyclic aromatic hydrocarbons, heavy metal ions, etc.) in PM10. In the present study, we aim to determine the strong correlations between the chemicals in PM10 and the adverse consequences. We used the ChemView DB, the ToxRef DB and a comprehensive literature analysis to collect, identify, and evaluate the chemicals in PM10 and their adverse effects on respiratory system, and then used the ToxCast DB to analyze their bioactivity and key targets through 1192 molecular targets and cell characteristic endpoints. Meanwhile, the bioinformatics analysis were carried out on the molecular targets to screen out prevention and treatment targets. A total of 310 chemicals related to the respiratory system were identified. An unsupervised two-directional heatmap was constructed based on hierarchical clustering of 227 chemicals by their effect scores. A subset of 253 chemicals with respiratory system toxicity had in vitro bioactivity on 318 molecular targets that could be described, clustered and annotated in the heatmap and bipartite network, which were analyzed based on the protein information in UniProt KB database and the software of GO, STRING, and KEGG. These results showed that the chemicals in PM10 have strong correlation with different types of respiratory system injury. The main pathways of respiratory system injury caused by PM10 are the Calcium signaling pathway, MAPK signaling pathway, and PI3K-AKT signaling pathway, and the core proteins in which are likely to be the molecular targets for the prevention and treatment of damage caused by PM10.
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title_short	Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes
url	https://doi.org/10.1016/j.envint.2021.107040 https://doaj.org/article/9fde6adf13414f249cc5659bb60957d1 http://www.sciencedirect.com/science/article/pii/S0160412021006656 https://doaj.org/toc/0160-4120
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Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes

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