Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers

Introduction: This study aims to address the existing gap in the literature, while adding evidence, by comparing tobacco-specific biomarkers (cotinine and nitrosamines: NNK, NNAL, NNN), and other biomarkers of e-cigarette use (humectants: glycerol, 1,2-PD, 1,3-PD) according to five study groups. Met...

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Autores: Melero Ollonarte, Juan Luis, Lidón Moyano, Cristina, Perez Ortuño, Raúl, Fu Balboa, Marcela, Ballbè i Gibernau, Montse, Martín Sánchez, Juan Carlos, González Barrón, Adrián, Cartanyà Hueso, Àurea, Pascual, José Antonio, Fernández Muñoz, Esteve, Martínez Sánchez, Jose M.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/198562
Acceso en línea:https://hdl.handle.net/2445/198562
Access Level:acceso abierto
Palabra clave:Cigarretes electròniques
Marcadors bioquímics
Tabac
Fumadors
Electronic cigarettes
Biochemical markers
Tobacco
Cigarette smokers
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spelling Specific biomarker comparison in current smokers, e-cigarette users, and non-smokersMelero Ollonarte, Juan LuisLidón Moyano, CristinaPerez Ortuño, RaúlFu Balboa, MarcelaBallbè i Gibernau, MontseMartín Sánchez, Juan CarlosGonzález Barrón, AdriánCartanyà Hueso, ÀureaPascual, José AntonioFernández Muñoz, EsteveMartínez Sánchez, Jose M.Cigarretes electròniquesMarcadors bioquímicsTabacFumadorsElectronic cigarettesBiochemical markersTobaccoCigarette smokersIntroduction: This study aims to address the existing gap in the literature, while adding evidence, by comparing tobacco-specific biomarkers (cotinine and nitrosamines: NNK, NNAL, NNN), and other biomarkers of e-cigarette use (humectants: glycerol, 1,2-PD, 1,3-PD) according to five study groups. Methods: A pooling analysis including two different studies was conducted. In both analyses, we took saliva samples from smokers (n = 409) and non-smokers (n = 154), dual tobacco and e-cig users (n = 92), exclusive e-cig user with nicotine (n = 158), and exclusive e-cig users without nicotine (n = 38). We analyzed and compared the geometric means (GM) and geometric standard deviations (GSD) of the concentration of tobacco-specific biomarkers, and e-cigarette biomarkers among groups. We used log-linear models adjusted for sex and age to model the change percentage and their 95% confidence intervals. Results: Cotinine was significantly higher in nicotine consumers and in e-cigarette users without nicotine when compared to non-smokers. TSNAs were generally significantly lower in non-smokers and higher in nicotine consumers. NNN and NNAL were lower in e-cigarette users with nicotine comparted to smokers, and NNN was higher in e-cigarette users without nicotine when compared to non-smokers. No differences were found in humectant biomarkers between e-cigarette groups. Conclusions: Although there was a reduction in TSNAs in e-cigarette exclusive users compared to smokers, and a reduction of cotinine concentrations in e-cigarette exclusive users without nicotine compared to smokers, there are still high levels of these biomarkers when compared to non-smokers, which may be a clue towards the harmful effect of e-cigarettes.Elsevier BV2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/198562Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1016/j.addbeh.2023.107616Addictive Behaviors, 2023, vol. 140, p. 107616https://doi.org/10.1016/j.addbeh.2023.107616cc by-nc-nd (c) Elsevier, 2023http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1985622026-05-27T06:46:51Z
dc.title.none.fl_str_mv Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
title Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
spellingShingle Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
Melero Ollonarte, Juan Luis
Cigarretes electròniques
Marcadors bioquímics
Tabac
Fumadors
Electronic cigarettes
Biochemical markers
Tobacco
Cigarette smokers
title_short Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
title_full Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
title_fullStr Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
title_full_unstemmed Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
title_sort Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers
dc.creator.none.fl_str_mv Melero Ollonarte, Juan Luis
Lidón Moyano, Cristina
Perez Ortuño, Raúl
Fu Balboa, Marcela
Ballbè i Gibernau, Montse
Martín Sánchez, Juan Carlos
González Barrón, Adrián
Cartanyà Hueso, Àurea
Pascual, José Antonio
Fernández Muñoz, Esteve
Martínez Sánchez, Jose M.
author Melero Ollonarte, Juan Luis
author_facet Melero Ollonarte, Juan Luis
Lidón Moyano, Cristina
Perez Ortuño, Raúl
Fu Balboa, Marcela
Ballbè i Gibernau, Montse
Martín Sánchez, Juan Carlos
González Barrón, Adrián
Cartanyà Hueso, Àurea
Pascual, José Antonio
Fernández Muñoz, Esteve
Martínez Sánchez, Jose M.
author_role author
author2 Lidón Moyano, Cristina
Perez Ortuño, Raúl
Fu Balboa, Marcela
Ballbè i Gibernau, Montse
Martín Sánchez, Juan Carlos
González Barrón, Adrián
Cartanyà Hueso, Àurea
Pascual, José Antonio
Fernández Muñoz, Esteve
Martínez Sánchez, Jose M.
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cigarretes electròniques
Marcadors bioquímics
Tabac
Fumadors
Electronic cigarettes
Biochemical markers
Tobacco
Cigarette smokers
topic Cigarretes electròniques
Marcadors bioquímics
Tabac
Fumadors
Electronic cigarettes
Biochemical markers
Tobacco
Cigarette smokers
description Introduction: This study aims to address the existing gap in the literature, while adding evidence, by comparing tobacco-specific biomarkers (cotinine and nitrosamines: NNK, NNAL, NNN), and other biomarkers of e-cigarette use (humectants: glycerol, 1,2-PD, 1,3-PD) according to five study groups. Methods: A pooling analysis including two different studies was conducted. In both analyses, we took saliva samples from smokers (n = 409) and non-smokers (n = 154), dual tobacco and e-cig users (n = 92), exclusive e-cig user with nicotine (n = 158), and exclusive e-cig users without nicotine (n = 38). We analyzed and compared the geometric means (GM) and geometric standard deviations (GSD) of the concentration of tobacco-specific biomarkers, and e-cigarette biomarkers among groups. We used log-linear models adjusted for sex and age to model the change percentage and their 95% confidence intervals. Results: Cotinine was significantly higher in nicotine consumers and in e-cigarette users without nicotine when compared to non-smokers. TSNAs were generally significantly lower in non-smokers and higher in nicotine consumers. NNN and NNAL were lower in e-cigarette users with nicotine comparted to smokers, and NNN was higher in e-cigarette users without nicotine when compared to non-smokers. No differences were found in humectant biomarkers between e-cigarette groups. Conclusions: Although there was a reduction in TSNAs in e-cigarette exclusive users compared to smokers, and a reduction of cotinine concentrations in e-cigarette exclusive users without nicotine compared to smokers, there are still high levels of these biomarkers when compared to non-smokers, which may be a clue towards the harmful effect of e-cigarettes.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/198562
url https://hdl.handle.net/2445/198562
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.addbeh.2023.107616
Addictive Behaviors, 2023, vol. 140, p. 107616
https://doi.org/10.1016/j.addbeh.2023.107616
dc.rights.none.fl_str_mv cc by-nc-nd (c) Elsevier, 2023
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by-nc-nd (c) Elsevier, 2023
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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