Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis
Considering that some researchers point to a possible influence of air pollution on COVID-19 transmission, severity, and death rate, the aim of our in silico study was to determine the relationship between the key air pollutants [sulphur dioxide (SO), carbon monoxide (CO), 2particulate matter (PMx),...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2022-07-01
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| Series: | Arhiv za Higijenu Rada i Toksikologiju |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/aiht-2022-73-3631 |
| _version_ | 1818502670871166976 |
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| author | Đukić-Ćosić Danijela Baralić Katarina Filipović Teodora Božić Dragica Živančević Katarina Miljaković Evica Antonijević Đorđević Aleksandra Buha Bulat Zorica Antonijević Biljana Ćurčić Marijana |
| author_facet | Đukić-Ćosić Danijela Baralić Katarina Filipović Teodora Božić Dragica Živančević Katarina Miljaković Evica Antonijević Đorđević Aleksandra Buha Bulat Zorica Antonijević Biljana Ćurčić Marijana |
| author_sort | Đukić-Ćosić Danijela |
| collection | DOAJ |
| description | Considering that some researchers point to a possible influence of air pollution on COVID-19 transmission, severity, and death rate, the aim of our in silico study was to determine the relationship between the key air pollutants [sulphur dioxide (SO), carbon monoxide (CO), 2particulate matter (PMx), nitrogen dioxide (NO2), and ozone (O3)] and COVID-19 complications using the publicly available toxicogenomic analytical and prediction tools: (i) Comparative Toxicogenomic Database (CTD) to identify genes common to air pollutants and COVID-19 complications; (ii) GeneMANIA to construct a network of these common and related genes; (iii) ToppGene Suite to extract the most important biological processes and molecular pathways; and (iv) DisGeNET to search for the top gene-disease pairs. SO2, CO, PMx, NO2, and O3 interacted with 6, 6, 18, 9, and 12 COVID-19-related genes, respectively. Four of these are common for all pollutants (IL10, IL6, IL1B, and TNF) and participate in most (77.64 %) physical interactions. Further analysis pointed to cytokine binding and cytokine-mediated signalling pathway as the most important molecular function and biological process, respectively. Other molecular functions and biological processes are mostly related to cytokine activity and inflammation, which might be connected to the cytokine storm and resulting COVID-19 complications. The final step singled out the link between the CEBPA gene and acute myelocytic leukaemia and between TNFRSF1A and TNF receptor-associated periodic fever syndrome. This indicates possible complications in COVID-19 patients suffering from these diseases, especially those living in urban areas with poor air quality. |
| first_indexed | 2024-12-10T21:13:20Z |
| format | Article |
| id | doaj.art-70f082bd093340bc9f0cfe585bc038c4 |
| institution | Directory Open Access Journal |
| issn | 1848-6312 |
| language | English |
| last_indexed | 2024-12-10T21:13:20Z |
| publishDate | 2022-07-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Arhiv za Higijenu Rada i Toksikologiju |
| spelling | doaj.art-70f082bd093340bc9f0cfe585bc038c42022-12-22T01:33:23ZengSciendoArhiv za Higijenu Rada i Toksikologiju1848-63122022-07-0173211912510.2478/aiht-2022-73-3631Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysisĐukić-Ćosić Danijela0Baralić Katarina1Filipović Teodora2Božić Dragica3Živančević Katarina4Miljaković Evica Antonijević5Đorđević Aleksandra Buha6Bulat Zorica7Antonijević Biljana8Ćurčić Marijana9University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaUniversity of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, SerbiaConsidering that some researchers point to a possible influence of air pollution on COVID-19 transmission, severity, and death rate, the aim of our in silico study was to determine the relationship between the key air pollutants [sulphur dioxide (SO), carbon monoxide (CO), 2particulate matter (PMx), nitrogen dioxide (NO2), and ozone (O3)] and COVID-19 complications using the publicly available toxicogenomic analytical and prediction tools: (i) Comparative Toxicogenomic Database (CTD) to identify genes common to air pollutants and COVID-19 complications; (ii) GeneMANIA to construct a network of these common and related genes; (iii) ToppGene Suite to extract the most important biological processes and molecular pathways; and (iv) DisGeNET to search for the top gene-disease pairs. SO2, CO, PMx, NO2, and O3 interacted with 6, 6, 18, 9, and 12 COVID-19-related genes, respectively. Four of these are common for all pollutants (IL10, IL6, IL1B, and TNF) and participate in most (77.64 %) physical interactions. Further analysis pointed to cytokine binding and cytokine-mediated signalling pathway as the most important molecular function and biological process, respectively. Other molecular functions and biological processes are mostly related to cytokine activity and inflammation, which might be connected to the cytokine storm and resulting COVID-19 complications. The final step singled out the link between the CEBPA gene and acute myelocytic leukaemia and between TNFRSF1A and TNF receptor-associated periodic fever syndrome. This indicates possible complications in COVID-19 patients suffering from these diseases, especially those living in urban areas with poor air quality.https://doi.org/10.2478/aiht-2022-73-3631carbon monoxidecytokinesdisease complicationsin siliconitrogen dioxideozoneparticulate mattersars-cov-2sulphur dioxidecitokinidušikov dioksidin silicokomplikacije bolestilebdeće česticeonečišćivači zrakaozonporemećaj funkcije genasars-cov-2sumporov dioksidugljikov monoksid |
| spellingShingle | Đukić-Ćosić Danijela Baralić Katarina Filipović Teodora Božić Dragica Živančević Katarina Miljaković Evica Antonijević Đorđević Aleksandra Buha Bulat Zorica Antonijević Biljana Ćurčić Marijana Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis Arhiv za Higijenu Rada i Toksikologiju carbon monoxide cytokines disease complications in silico nitrogen dioxide ozone particulate matter sars-cov-2 sulphur dioxide citokini dušikov dioksid in silico komplikacije bolesti lebdeće čestice onečišćivači zraka ozon poremećaj funkcije gena sars-cov-2 sumporov dioksid ugljikov monoksid |
| title | Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis |
| title_full | Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis |
| title_fullStr | Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis |
| title_full_unstemmed | Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis |
| title_short | Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis |
| title_sort | joint impact of key air pollutants on covid 19 severity prediction based on toxicogenomic data analysis |
| topic | carbon monoxide cytokines disease complications in silico nitrogen dioxide ozone particulate matter sars-cov-2 sulphur dioxide citokini dušikov dioksid in silico komplikacije bolesti lebdeće čestice onečišćivači zraka ozon poremećaj funkcije gena sars-cov-2 sumporov dioksid ugljikov monoksid |
| url | https://doi.org/10.2478/aiht-2022-73-3631 |
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