Titre : |
The exposomal impacts of e-cigarettes on the oral microbiome |
Type de document : |
document électronique |
Auteurs : |
Michelle Lee-Scott Beverly, Auteur |
Editeur : |
Ohio State University |
Année de publication : |
2024 |
Importance : |
158 p. |
Présentation : |
ill., graph.; tab |
Langues : |
Anglais (eng) |
Catégories : |
[DIVERS] discipline médicale, paramédicale et scientifique:biologie [TABAC] chimie du tabac:tabac fumé:cigarette:cigarette électronique [TABAC] étude [TABAC] prévention:santé [TABAC] sevrage tabagique [TABAC] tabagisme:pathologie:pathologie bucco-dentaire
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Index. décimale : |
TA 1.1.1 Cigarettes (« normales », électroniques, aromatisées,…) |
Résumé : |
Despite having been introduced over 10 years ago, there is little research into the effects of electronic cigarettes (e-cigs, electronic nicotine delivery systems, or ENDS) on health outcomes. These devices create an aerosol mixture by heating propylene glycol, glycerol, nicotine, additives and flavorings. Although concerns have been voiced about these devices, usage continues to increase, partially because they are marketed as a safer alternative to traditional cigarettes and as a smoking cessation aid. However, the chemicals in ENDS may deliver toxins to a variety of body systems, necessitating an urgent need for investigation into their biological effects. The oral cavity is the initial point of contact and the primary repository of nicotine deposition, which places the oral microbial environment at a high potential to be impacted by ENDS. Oral microbial homeostasis relies on an intricate balance between the host and their microbiome, but disruptions to this equilibrium can have wide-reaching effects. The purpose of this investigation was to examine the multi faceted impacts of ENDS on the different systems within the oral cavity, ranging from the microbiome to the human host, and the signaling molecules that connect these two. A tandem approach of in vitro and in vivo techniques was utilized to recapitulate the oral microenvironment and identify the mechanistic changes while also allowing for clinical correlations to be made. Systems were analyzed with a multi omics approach consisting of host transcriptomics, metatranscriptomics and metabolomics in combination with mass spectrometry and immunohistochemistry to identify potential biomarkers and risk for disease. |
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