References
- 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/ijerph17124487
- Contini D, Costabile F. Does air pollution influence COVID-19 outbreaks? Atmosphere (Basel) 2020;11(4):377. doi: 10.3390/ATMOS11040377
- 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.pdf
- 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-pollution
- Boverhof DR, Zacharewski TR. Toxicogenomics in risk assessment: Applications and needs. Toxicol Sci 2006;89:352–60. doi: 10.1093/toxsci/kfj018
- 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/s00204-019-02641-0
- Waters MD, Fostel JM. Toxicogenomics and systems toxicology: Aims and prospects. Nat Rev Genet 2004;5:936–48. doi: 10.1038/nrg1493
- 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/s00204-014-1351-2
- 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.2017.11.042
- 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.2021.08.001
- 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/kfaa113
- 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: 10.1186/1471-2105-10-326
- 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/gkn580
- 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/gkq537
- 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/btq562
- 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/gky311
- 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/gkp427
- 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/gkz1021
- 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/bav028
- 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/gkw943
- 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: 10.1080/14728222.2020.1783243
- 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-E
- 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-2004-168
- 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/nwaa037
- 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.25685
- 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.e06155
- 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.2020.05.596
- 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.139834
- 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.2020.108614