Cargando…

Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database

There is a critical need to understand the health risks associated with vaping e-cigarettes, which has reached epidemic levels among teens. Juul is currently the most popular type of e-cigarette on the market. Using the Comparative Toxicogenomics Database (CTD; http://ctdbase.org), a public resource...

Descripción completa

Detalles Bibliográficos
Autores principales: Grondin, Cynthia J., Davis, Allan Peter, Wiegers, Jolene A., Wiegers, Thomas C., Sciaky, Daniela, Johnson, Robin J., Mattingly, Carolyn J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379377/
https://www.ncbi.nlm.nih.gov/pubmed/34458863
http://dx.doi.org/10.1016/j.crtox.2021.08.001
_version_ 1783740992546930688
author Grondin, Cynthia J.
Davis, Allan Peter
Wiegers, Jolene A.
Wiegers, Thomas C.
Sciaky, Daniela
Johnson, Robin J.
Mattingly, Carolyn J.
author_facet Grondin, Cynthia J.
Davis, Allan Peter
Wiegers, Jolene A.
Wiegers, Thomas C.
Sciaky, Daniela
Johnson, Robin J.
Mattingly, Carolyn J.
author_sort Grondin, Cynthia J.
collection PubMed
description There is a critical need to understand the health risks associated with vaping e-cigarettes, which has reached epidemic levels among teens. Juul is currently the most popular type of e-cigarette on the market. Using the Comparative Toxicogenomics Database (CTD; http://ctdbase.org), a public resource that integrates chemical, gene, phenotype and disease data, we aimed to analyze the potential molecular mechanisms of eight chemicals detected in the aerosols generated by heating Juul e-cigarette pods: nicotine, acetaldehyde, formaldehyde, free radicals, crotonaldehyde, acetone, pyruvaldehyde, and particulate matter. Curated content in CTD, including chemical-gene, chemical-phenotype, and chemical-disease interactions, as well as associated phenotypes and pathway enrichment, were analyzed to help identify potential molecular mechanisms and diseases associated with vaping. Nicotine shows the most direct disease associations of these chemicals, followed by particulate matter and formaldehyde. Together, these chemicals show a direct marker or mechanistic relationship with 400 unique diseases in CTD, particularly in the categories of cardiovascular diseases, nervous system diseases, respiratory tract diseases, cancers, and mental disorders. We chose three respiratory tract diseases to investigate further, and found that in addition to cellular processes of apoptosis and cell proliferation, prioritized phenotypes underlying Juul-associated respiratory tract disease outcomes include response to oxidative stress, inflammatory response, and several cell signaling pathways (p38MAPK, NIK/NFkappaB, calcium-mediated).
format Online
Article
Text
id pubmed-8379377
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-83793772021-08-26 Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database Grondin, Cynthia J. Davis, Allan Peter Wiegers, Jolene A. Wiegers, Thomas C. Sciaky, Daniela Johnson, Robin J. Mattingly, Carolyn J. Curr Res Toxicol Article There is a critical need to understand the health risks associated with vaping e-cigarettes, which has reached epidemic levels among teens. Juul is currently the most popular type of e-cigarette on the market. Using the Comparative Toxicogenomics Database (CTD; http://ctdbase.org), a public resource that integrates chemical, gene, phenotype and disease data, we aimed to analyze the potential molecular mechanisms of eight chemicals detected in the aerosols generated by heating Juul e-cigarette pods: nicotine, acetaldehyde, formaldehyde, free radicals, crotonaldehyde, acetone, pyruvaldehyde, and particulate matter. Curated content in CTD, including chemical-gene, chemical-phenotype, and chemical-disease interactions, as well as associated phenotypes and pathway enrichment, were analyzed to help identify potential molecular mechanisms and diseases associated with vaping. Nicotine shows the most direct disease associations of these chemicals, followed by particulate matter and formaldehyde. Together, these chemicals show a direct marker or mechanistic relationship with 400 unique diseases in CTD, particularly in the categories of cardiovascular diseases, nervous system diseases, respiratory tract diseases, cancers, and mental disorders. We chose three respiratory tract diseases to investigate further, and found that in addition to cellular processes of apoptosis and cell proliferation, prioritized phenotypes underlying Juul-associated respiratory tract disease outcomes include response to oxidative stress, inflammatory response, and several cell signaling pathways (p38MAPK, NIK/NFkappaB, calcium-mediated). Elsevier 2021-08-05 /pmc/articles/PMC8379377/ /pubmed/34458863 http://dx.doi.org/10.1016/j.crtox.2021.08.001 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Grondin, Cynthia J.
Davis, Allan Peter
Wiegers, Jolene A.
Wiegers, Thomas C.
Sciaky, Daniela
Johnson, Robin J.
Mattingly, Carolyn J.
Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database
title Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database
title_full Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database
title_fullStr Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database
title_full_unstemmed Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database
title_short Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database
title_sort predicting molecular mechanisms, pathways, and health outcomes induced by juul e-cigarette aerosol chemicals using the comparative toxicogenomics database
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379377/
https://www.ncbi.nlm.nih.gov/pubmed/34458863
http://dx.doi.org/10.1016/j.crtox.2021.08.001
work_keys_str_mv AT grondincynthiaj predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase
AT davisallanpeter predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase
AT wiegersjolenea predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase
AT wiegersthomasc predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase
AT sciakydaniela predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase
AT johnsonrobinj predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase
AT mattinglycarolynj predictingmolecularmechanismspathwaysandhealthoutcomesinducedbyjuulecigaretteaerosolchemicalsusingthecomparativetoxicogenomicsdatabase