Cite

Comunian S, Dongo D, Milani C, Palestini P. Air pollution and Covid-19: The role of particulate matter in the spread and increase of Covid-19’s morbidity and mortality. Int J Environ Res Public Health 2020;17(12):4487. doi: 10.3390/ijerph17124487Comunian S Dongo D Milani C Palestini P Air pollution and Covid-19: The role of particulate matter in the spread and increase of Covid-19’s morbidity and mortality Int J Environ Res Public Health 202017 12 4487 10.3390/ijerph17124487734593832580440Open DOISearch in Google Scholar

Contini D, Costabile F. Does air pollution influence COVID-19 outbreaks? Atmosphere (Basel) 2020;11(4):377. doi: 10.3390/ATMOS11040377Contini D Costabile F Does air pollution influence COVID-19 outbreaks? Atmosphere (Basel) 202011 4 377 10.3390/ATMOS11040377Open DOISearch in Google Scholar

Jarosińska D. Revisions of the WHO Air Quality Guidelines : current status. WHO European Centre for Environment and Health 2020 [displayed 16 May 2022]. Available at https://www.healtheffects.org/sites/default/files/Jarosinska-WHO-guidelines-brussels-2020.pdfJarosińska D Revisions of the WHO Air Quality Guidelines : current status WHO European Centre for Environment and Health 2020 [displayed 16 May 2022]. Available at https://www.healtheffects.org/sites/default/files/Jarosinska-WHO-guidelines-brussels-2020.pdfSearch in Google Scholar

WHO. New WHO Global Air Quality Guidelines aim to save millions of lives from air pollution [displayed 16 May 2022]. Available at https://www.who.int/news/item/22-09-2021-new-who-global-air-quality-guidelines-aim-to-save-millions-of-lives-from-air-pollutionWHO. New WHO Global Air Quality Guidelines aim to save millions of lives from air pollution [displayed 16 May 2022] Available at https://www.who.int/news/item/22-09-2021-new-who-global-air-quality-guidelines-aim-to-save-millions-of-lives-from-air-pollutionSearch in Google Scholar

Boverhof DR, Zacharewski TR. Toxicogenomics in risk assessment: Applications and needs. Toxicol Sci 2006;89:352–60. doi: 10.1093/toxsci/kfj018Boverhof DR Zacharewski TR Toxicogenomics in risk assessment: Applications and needs Toxicol Sci 200689352 60 10.1093/toxsci/kfj01816221963Open DOISearch in Google Scholar

Tung CW, Jen H, Chia C, Wang C, Shan S, Pinpin W. Leveraging complementary computational models for prioritizing chemicals of developmental and reproductive toxicity concern: an example of food contact materials. Arch Toxicol 2020:94:485–94. doi: 10.1007/s00204-019-02641-0Tung CW Jen H Chia C Wang C Shan S Pinpin W Leveraging complementary computational models for prioritizing chemicals of developmental and reproductive toxicity concern: an example of food contact materials Arch Toxicol 2020:94485 94 10.1007/s00204-019-02641-031897520Open DOISearch in Google Scholar

Waters MD, Fostel JM. Toxicogenomics and systems toxicology: Aims and prospects. Nat Rev Genet 2004;5:936–48. doi: 10.1038/nrg1493Waters MD Fostel JM Toxicogenomics and systems toxicology: Aims and prospects Nat Rev Genet 20045936 48 10.1038/nrg149315573125Open DOISearch in Google Scholar

Van Breda SGJ, Claessen SMH, Lo K, van Herwijnen M, Brauers KJJ, Lisanti S, Theunissen DHJ, Jennen DGJ, Gaj S, de Kok TMCM, Kleinjans JCS. Epigenetic mechanisms underlying arsenic ‑ associated lung carcinogenesis. Arch Toxicol 2014;89:1959–69. doi: 10.1007/s00204-014-1351-2Van Breda SGJ Claessen SMH Lo K van Herwijnen M Brauers KJJ Lisanti S Theunissen DHJ Jennen DGJ Gaj S de Kok TMCM Kleinjans JCS Epigenetic mechanisms underlying arsenic ‑ associated lung carcinogenesis Arch Toxicol 2014891959 69 10.1007/s00204-014-1351-225199682Open DOISearch in Google Scholar

Dong X, Qiu X, Meng S, Xu H, Wu X, Yang M. Proteomic profile and toxicity pathway analysis in zebrafish embryos exposed to bisphenol A and di-n-butyl phthalate at environmentally relevant levels. Che mos p he r e 2 0 1 8 ; 1 9 3 : 3 1 3 – 2 0 . do i : 1 0 . 1 0 1 6 / j. chemosphere.2017.11.042Dong X Qiu X Meng S Xu H Wu X Yang M Proteomic profile and toxicity pathway analysis in zebrafish embryos exposed to bisphenol A and di-n-butyl phthalate at environmentally relevant levels Che mos p he r e 2 0 1 8 ; 1 9 3 : 3 1 3 – 2 0 . do i : 1 0 . 1 0 1 6 / j. chemosphere.2017.11.04210.1016/j.chemosphere.2017.11.04229145093Search in Google Scholar

Grondin CJ, Davis AP, Wiegers JA, Wiegers TC, Sciaky D, Johnson RJ, Mattingly CJ. Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database. Curr Res Toxicol 2021;2:272–81. doi: 10.1016/j.crtox.2021.08.001Grondin CJ Davis AP Wiegers JA Wiegers TC Sciaky D Johnson RJ Mattingly CJ Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database Curr Res Toxicol 20212272 81 10.1016/j.crtox.2021.08.001837937734458863Open DOISearch in Google Scholar

Davis AP, Wiegers TC, Grondin CJ, Johnson RJ, Sciaky D, Wiegers J, Mattingly CJ. Leveraging the comparative toxicogenomics database to fill in knowledge gaps for environmental health: A test case for air pollution-induced cardiovascular disease. Toxicol Sci 2020;177:392– 404. doi: 10.1093/toxsci/kfaa113Davis AP Wiegers TC Grondin CJ Johnson RJ Sciaky D Wiegers J Mattingly CJ Leveraging the comparative toxicogenomics database to fill in knowledge gaps for environmental health: A test case for air pollution-induced cardiovascular disease Toxicol Sci 2020177392404 10.1093/toxsci/kfaa113754828932663284Open DOISearch in Google Scholar

Wiegers TC, Davis AP, Cohen KB, Hirschman L, Mattingly CJ. Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD). BMC Bioinformatics 2009;10:326. doi: 10.1186/1471-2105-10-326Wiegers TC Davis AP Cohen KB Hirschman L Mattingly CJ Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD) BMC Bioinformatics 200910326 10.1186/1471-2105-10-326276871919814812Open DOISearch in Google Scholar

Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Mattingly CJ. Comparative Toxicogenomics Database: A knowledgebase and discovery tool for chemical-gene-disease networks. Nucleic Acids Res 2009;37(Database issue):D786–92. doi: 10.1093/nar/gkn580Davis AP Murphy CG Saraceni-Richards CA Rosenstein MC Wiegers TC Mattingly CJ Comparative Toxicogenomics Database: A knowledgebase and discovery tool for chemical-gene-disease networks Nucleic Acids Res 200937 Database issue D786 92 10.1093/nar/gkn580268658418782832Open DOISearch in Google Scholar

Warde-Farley D, Donaldson SL, Comes O, Badrawi R, Chao P, Franz M, Grouios C, Kazi F, Lopes CT, Maitland A, Mostafavi S, Montojo J, Shao Q, Wright G, Bader GD, Morris Q. The GeneMANIA prediction server : biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res 2010;38(Suppl 2):W214–20. doi: 10.1093/nar/gkq537Warde-Farley D Donaldson SL Comes O Badrawi R Chao P Franz M Grouios C Kazi F Lopes CT Maitland A Mostafavi S Montojo J Shao Q Wright G Bader GD Morris Q The GeneMANIA prediction server : biological network integration for gene prioritization and predicting gene function Nucleic Acids Res 201038 Suppl 2 W214 20 10.1093/nar/gkq537289618620576703Open DOISearch in Google Scholar

Montojo J, Zuberi K, Rodriguez H, Kazi F, Wright G, Donaldson SL, Morris Q, Bader GD. GeneMANIA cytoscape plugin: fast gene function predictions on the desktop. Bioinformatics 2010;26:2927–8. doi: 10.1093/bioinformatics/btq562Montojo J Zuberi K Rodriguez H Kazi F Wright G Donaldson SL Morris Q Bader GD GeneMANIA cytoscape plugin: fast gene function predictions on the desktop Bioinformatics 2010262927 8 10.1093/bioinformatics/btq562297158220926419Open DOISearch in Google Scholar

Franz M, Rodriguez H, Lopes C, Zuberi K, Montojo J, Bader GD, Morris Q. GeneMANIA update 2018. Nucleic Acids Res 2018;46(W1):W60–4. doi: 10.1093/nar/gky311Franz M Rodriguez H Lopes C Zuberi K Montojo J Bader GD Morris Q GeneMANIA update 2018 Nucleic Acids Res 201846 W1 W60 4 10.1093/nar/gky311603081529912392Open DOISearch in Google Scholar

Chen J, Bardes EE, Aronow BJ, Jegga AG. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res 2009;37(Web Server issue):W305–11. doi: 10.1093/nar/gkp427Chen J Bardes EE Aronow BJ Jegga AG ToppGene Suite for gene list enrichment analysis and candidate gene prioritization Nucleic Acids Res 200937 Web Server issue W305 11 10.1093/nar/gkp427270397819465376Open DOISearch in Google Scholar

Piñero J, Ramírez-Anguita JM, Saüch-Pitarch J, Ronzano F, Centeno E, Sanz F, Furlong LI. The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Res 2020;48(D1):D845–55. doi: 10.1093/nar/gkz1021Piñero J Ramírez-Anguita JM Saüch-Pitarch J Ronzano F Centeno E Sanz F Furlong LI The DisGeNET knowledge platform for disease genomics: 2019 update Nucleic Acids Res 202048 D1 D845 55 10.1093/nar/gkz1021714563131680165Open DOISearch in Google Scholar

Piñero J, Queralt-Rosinach N, Bravo À, Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F, Furlong LI. DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes. Database 2015;bav028. doi: 10.1093/database/bav028Piñero J Queralt-Rosinach N Bravo À Deu-Pons J Bauer-Mehren A Baron M Sanz F Furlong LI DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes Database 2015bav028 10.1093/database/bav028439799625877637Open DOISearch in Google Scholar

Piñero J, Bravo À, Queralt-Rosinach N, Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz F, Furlong LI. DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants. Nucleic Acids Res 2017;45(D1):D833–9. doi: 10.1093/nar/gkw943Piñero J Bravo À Queralt-Rosinach N Gutiérrez-Sacristán A Deu-Pons J Centeno E García-García J Sanz F Furlong LI DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants Nucleic Acids Res 201745 D1 D833 9 10.1093/nar/gkw943521064027924018Open DOISearch in Google Scholar

Pearce L, Davidson SM, Yellon DM. The cytokine storm of COVID-19: a spotlight on prevention and protection. Expert Opin Ther Targets 2020;24:723–30. doi: 10.1080/14728222.2020.1783243Pearce L Davidson SM Yellon DM The cytokine storm of COVID-19: a spotlight on prevention and protection Expert Opin Ther Targets 202024723 30 10.1080/14728222.2020.178324332594778Open DOISearch in Google Scholar

Conti P, Ronconi G, Caraffa A, Gallenga C, Ross R, Frydas I, Kritas S. Induction of pro-inflammatory cytokines (IL-1 and IL-6) and lung inflammation by Coronavirus-19 (COVI-19 or SARS-CoV-2): anti-inflammatory strategies. J Biol Regul Homeost Agents 2020;34:327–31. doi: 10.23812/CONTI-EConti P Ronconi G Caraffa A Gallenga C Ross R Frydas I Kritas S Induction of pro-inflammatory cytokines (IL-1 and IL-6) and lung inflammation by Coronavirus-19 (COVI-19 or SARS-CoV-2): anti-inflammatory strategies J Biol Regul Homeost Agents 202034327 31 10.23812/CONTI-E32171193Open DOISearch in Google Scholar

Tufan A, Matucci-Cerinic M. COVID-19, immune system response, hyperinflammation and repurposing antirheumatic drugs. Turkish J Med Sci 2020;50:620–32. doi: 10.3906/sag-2004-168Tufan A Matucci-Cerinic M COVID-19, immune system response, hyperinflammation and repurposing antirheumatic drugs Turkish J Med Sci 202050620 32 10.3906/sag-2004-168719598432299202Open DOISearch in Google Scholar

Liu Y, Zhang C, Huang F, Yang Y, Wang F, Yuan J, Zhang Z, Qin Y, Li X, Zhao D, Li S, Tan S, Wang Z, Li J, Shen C, Li J, Peng L, Wu W, Cao M, Xing L, Xu Z, Chen L, Zhou C, Liu WJ, Liu L, Jiang C. Elevated plasma level of selective cytokines in COVID-19 patients reflect viral load and lung injury. Natl Sci Rev 2020;7:1003–11. doi: 10.1093/nsr/nwaa037Liu Y Zhang C Huang F Yang Y Wang F Yuan J Zhang Z Qin Y Li X Zhao D Li S Tan S Wang Z Li J Shen C Li J Peng L Wu W Cao M Xing L Xu Z Chen L Zhou C Liu WJ Liu L Jiang C Elevated plasma level of selective cytokines in COVID-19 patients reflect viral load and lung injury Natl Sci Rev 202071003 11 10.1093/nsr/nwaa037710780634676126Open DOISearch in Google Scholar

Li G, Fan Y, Lai Y, Han T, Li Z, Zhou P, Pan P, Wang W, Hu D, Liu X, Zhang Q, Wu J. Coronavirus infections and immune responses. J Med Virol 2020;92:424–32. doi: 10.1002/jmv.25685Li G Fan Y Lai Y Han T Li Z Zhou P Pan P Wang W Hu D Liu X Zhang Q Wu J Coronavirus infections and immune responses J Med Virol 202092424 32 10.1002/jmv.25685716654731981224Open DOISearch in Google Scholar

Dhar SK, Vishnupriyan K, Damodar S, Gujar S, Das M. IL-6 and IL-10 as predictors of disease severity in COVID-19 patients: results from meta-analysis and regression. Heliyon 2021;7(2):e06155. doi: 10.1016/j.heliyon.2021.e06155Dhar SK Vishnupriyan K Damodar S Gujar S Das M IL-6 and IL-10 as predictors of disease severity in COVID-19 patients: results from meta-analysis and regression Heliyon 20217 2 e06155 10.1016/j.heliyon.2021.e06155784623033553782Open DOISearch in Google Scholar

Laratta CR, Kendzerska T, Carlsten C, Brauer M, van Eeden SF, Hirsch Allen AJM, Fox N, Urbanetto Peres B, Ayas NT. Air pollution and systemic inflammation in patients with suspected OSA living in an urban residential area. Chest 2020;158:1713–22. doi: 10.1016/j.chest.2020.05.596Laratta CR Kendzerska T Carlsten C Brauer M van Eeden SF Hirsch Allen AJM Fox N Urbanetto Peres B Ayas NT Air pollution and systemic inflammation in patients with suspected OSA living in an urban residential area Chest 20201581713 22 10.1016/j.chest.2020.05.59632561443Open DOISearch in Google Scholar

Zhao Y, Qin L, Zhang P, Li K, Liang L, Sun J, Xu B, Dai Y, Li X, Zhang C, Peng Y, Feng Y, Li A, Hu Z, Xiang H, Ogg G, Ho L-P, McMichael A, Jin R, Knight JC, Dong T, Zhang Y. Longitudinal COVID-19 profiling associates IL-1RA and IL-10 with disease severity and RANTES with mild disease. JCI Insight 2020;5(13):e139843. doi: 10.1172/jci.insight.139834Zhao Y Qin L Zhang P Li K Liang L Sun J Xu B Dai Y Li X Zhang C Peng Y Feng Y Li A Hu Z Xiang H Ogg G Ho L-P McMichael A Jin R Knight JC Dong T Zhang Y Longitudinal COVID-19 profiling associates IL-1RA and IL-10 with disease severity and RANTES with mild disease JCI Insight 20205 13 e139843 10.1172/jci.insight.139834740624232501293Open DOISearch in Google Scholar

Keddie S, Ziff O, Chou MKL, Taylor RL, Heslegrave A, Garr E, Lakdawala N, Church A, Ludwig D, Manson J, Scully M, Nastouli E, Chapman MD, Hart M, Lunn MP. Laboratory biomarkers associated with COVID-19 severity and management. Clin Immunol 2020;221:108614. doi: 10.1016/j.clim.2020.108614Keddie S Ziff O Chou MKL Taylor RL Heslegrave A Garr E Lakdawala N Church A Ludwig D Manson J Scully M Nastouli E Chapman MD Hart M Lunn MP Laboratory biomarkers associated with COVID-19 severity and management Clin Immunol 2020221108614 10.1016/j.clim.2020.108614758134433153974Open DOISearch in Google Scholar

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