What e-cigarette factors determine oral epithelial DNA damage in consumers?

Design Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb re...

Full description

Saved in:
Bibliographic Details
Published inEvidence-based dentistry Vol. 24; no. 4; pp. 163 - 164
Main Author Murphy, Siofra
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.12.2023
Nature Publishing Group
Subjects
Online AccessGet full text
ISSN1462-0049
1476-5446
1476-5446
DOI10.1038/s41432-023-00943-y

Cover

Abstract Design Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb region of the DNA polymerase beta gene (POLB). An additional gene, hypoxanthine phosphoribosyltransferase 1 (HPRT), was also interrogated for validity. Enzyme-linked immunosorbent assay (ELISA) was used to measure plasma cotinine levels. Breath monitoring was measured using Bedfont Micro Smokerlyzer in order to quantify exhaled CO and %COHb levels in participants. Case selection 72 subjects, consisting of both males and females of diverse ages, races and ethnicities, were recruited. Comprehensive interviews alongside biochemical studies were used to verify smoking and vaping status. Participants classified as vapers reported a minimum use of e-cigarettes three times weekly for 6 months, with no use of cigarettes or tobacco products in their lifetime. Smokers reported cigarette consumption for a minimum of three times weekly for at least 12 months, less than five vaping sessions ever and no use of other tobacco products in the previous 6 months. Participants reporting no or less than five uses of e-cigarettes or tobacco products were classified as non-users. Former smokers, vapers and those who were dual or poly users of e-cigarettes, cigarettes or tobacco products were excluded. Data analysis R environment for statistical computing (RStudio), was used for data analysis. The Shapiro-Wilk test was used to evaluate the distribution of data. Student’s t test allowed comparison of all variables between two groups (vapers and nonusers, smokers and nonusers, or vapers and smokers), specifically DNA damage levels. A one-way Analysis of Variance (ANOVA) followed by a post hoc Tukey HSD test allowed comparison of damage in three or more groups (heavy vapers, light vapers, and nonusers, as well as heavy smokers, light smokers, and nonusers). DNA damage was also analysed in this manner when assessing e-cigarette device type, liquid type or in non-users. Pearson correlation coefficient analysis allowed examination of relationships between different variables. Results Mean levels of DNA damage in the POLB gene was 2.6-fold higher in vapers ( p  = 0.005) and 2.2-fold higher in smokers ( p  = 0.020), when compared to non-users. On comparing POLB gene DNA damage in vapers versus smokers, the results were not statistically significant ( p  = 0.522). Comparing DNA damage in the HPRT gene, levels were much higher in vapers ( p  = 0.029) and smokers ( p  = 0.033) versus non-users. Similarly to the POLB gene, DNA damage levels in the HPRT gene in vapers versus smokers were not statistically significant ( p  = 0.578). When assessing volume of e-cigarette liquid or smoking pack years, levels of DNA damage in increased in the POLB gene in a dose-dependent manner between ‘light’ and ‘heavy’ users versus non-users (F = 4.571, p  = 0.0156 | Tukey’s HSD p  = 0.0195 in vapers, F = 4.368, p  = 0.0185 | Tukey’s HSD p  = 0.0135 in smokers). Vaping device type was investigated showing mean level of DNA damage in the oral cells of pod device users was 3.3-fold higher compared to non-users (F = 3.886, p  = 0.0152 | Tukey’s HSD p  = 0.0216). This was followed by a 2.6-fold increase in oral cell DNA damage in Mod device users, and a 1.6-fold increase in multiple device users. Levels of DNA damage was higher in those who consume sweet-flavoured e-liquid (F = 3.238, p  = 0.0146 | Tukey’s HSD p  < 0.05), followed by vapers of multiple flavours, mint or menthol and tobacco, and fruit flavours. No correlation was found between DNA damage of oral cells and cumulative nicotine consumption in vapers (r = 0.3189, p  = 0.1288). Plasma cotinine levels, a validated maker of tobacco in cigarettes and e-cigarettes, were not significantly different between vapers and smokers ( p  = 0.607), but were significantly higher compared to non-users ( p  < 0.0001). Whist compared to non-users, vapers had similar levels of CO and %COHb, smokers showed significantly increased levels ( p  = 0.0005 and p  = 0.0002, respectively). Conclusions Based on the results of this study, there is evidence to support a dose-dependent formation of DNA damage in oral cells in those vapers who have never smoked cigarettes, and in those exclusive cigarette smokers. Additionally, e-cigarette device type and flavour, may also determine levels of DNA damage.
AbstractList Design Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb region of the DNA polymerase beta gene (POLB). An additional gene, hypoxanthine phosphoribosyltransferase 1 (HPRT), was also interrogated for validity. Enzyme-linked immunosorbent assay (ELISA) was used to measure plasma cotinine levels. Breath monitoring was measured using Bedfont Micro Smokerlyzer in order to quantify exhaled CO and %COHb levels in participants. Case selection 72 subjects, consisting of both males and females of diverse ages, races and ethnicities, were recruited. Comprehensive interviews alongside biochemical studies were used to verify smoking and vaping status. Participants classified as vapers reported a minimum use of e-cigarettes three times weekly for 6 months, with no use of cigarettes or tobacco products in their lifetime. Smokers reported cigarette consumption for a minimum of three times weekly for at least 12 months, less than five vaping sessions ever and no use of other tobacco products in the previous 6 months. Participants reporting no or less than five uses of e-cigarettes or tobacco products were classified as non-users. Former smokers, vapers and those who were dual or poly users of e-cigarettes, cigarettes or tobacco products were excluded. Data analysis R environment for statistical computing (RStudio), was used for data analysis. The Shapiro-Wilk test was used to evaluate the distribution of data. Student’s t test allowed comparison of all variables between two groups (vapers and nonusers, smokers and nonusers, or vapers and smokers), specifically DNA damage levels. A one-way Analysis of Variance (ANOVA) followed by a post hoc Tukey HSD test allowed comparison of damage in three or more groups (heavy vapers, light vapers, and nonusers, as well as heavy smokers, light smokers, and nonusers). DNA damage was also analysed in this manner when assessing e-cigarette device type, liquid type or in non-users. Pearson correlation coefficient analysis allowed examination of relationships between different variables. Results Mean levels of DNA damage in the POLB gene was 2.6-fold higher in vapers ( p  = 0.005) and 2.2-fold higher in smokers ( p  = 0.020), when compared to non-users. On comparing POLB gene DNA damage in vapers versus smokers, the results were not statistically significant ( p  = 0.522). Comparing DNA damage in the HPRT gene, levels were much higher in vapers ( p  = 0.029) and smokers ( p  = 0.033) versus non-users. Similarly to the POLB gene, DNA damage levels in the HPRT gene in vapers versus smokers were not statistically significant ( p  = 0.578). When assessing volume of e-cigarette liquid or smoking pack years, levels of DNA damage in increased in the POLB gene in a dose-dependent manner between ‘light’ and ‘heavy’ users versus non-users (F = 4.571, p  = 0.0156 | Tukey’s HSD p  = 0.0195 in vapers, F = 4.368, p  = 0.0185 | Tukey’s HSD p  = 0.0135 in smokers). Vaping device type was investigated showing mean level of DNA damage in the oral cells of pod device users was 3.3-fold higher compared to non-users (F = 3.886, p  = 0.0152 | Tukey’s HSD p  = 0.0216). This was followed by a 2.6-fold increase in oral cell DNA damage in Mod device users, and a 1.6-fold increase in multiple device users. Levels of DNA damage was higher in those who consume sweet-flavoured e-liquid (F = 3.238, p  = 0.0146 | Tukey’s HSD p  < 0.05), followed by vapers of multiple flavours, mint or menthol and tobacco, and fruit flavours. No correlation was found between DNA damage of oral cells and cumulative nicotine consumption in vapers (r = 0.3189, p  = 0.1288). Plasma cotinine levels, a validated maker of tobacco in cigarettes and e-cigarettes, were not significantly different between vapers and smokers ( p  = 0.607), but were significantly higher compared to non-users ( p  < 0.0001). Whist compared to non-users, vapers had similar levels of CO and %COHb, smokers showed significantly increased levels ( p  = 0.0005 and p  = 0.0002, respectively). Conclusions Based on the results of this study, there is evidence to support a dose-dependent formation of DNA damage in oral cells in those vapers who have never smoked cigarettes, and in those exclusive cigarette smokers. Additionally, e-cigarette device type and flavour, may also determine levels of DNA damage.
Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb region of the DNA polymerase beta gene (POLB). An additional gene, hypoxanthine phosphoribosyltransferase 1 (HPRT), was also interrogated for validity. Enzyme-linked immunosorbent assay (ELISA) was used to measure plasma cotinine levels. Breath monitoring was measured using Bedfont Micro Smokerlyzer in order to quantify exhaled CO and %COHb levels in participants. 72 subjects, consisting of both males and females of diverse ages, races and ethnicities, were recruited. Comprehensive interviews alongside biochemical studies were used to verify smoking and vaping status. Participants classified as vapers reported a minimum use of e-cigarettes three times weekly for 6 months, with no use of cigarettes or tobacco products in their lifetime. Smokers reported cigarette consumption for a minimum of three times weekly for at least 12 months, less than five vaping sessions ever and no use of other tobacco products in the previous 6 months. Participants reporting no or less than five uses of e-cigarettes or tobacco products were classified as non-users. Former smokers, vapers and those who were dual or poly users of e-cigarettes, cigarettes or tobacco products were excluded. R environment for statistical computing (RStudio), was used for data analysis. The Shapiro-Wilk test was used to evaluate the distribution of data. Student's t test allowed comparison of all variables between two groups (vapers and nonusers, smokers and nonusers, or vapers and smokers), specifically DNA damage levels. A one-way Analysis of Variance (ANOVA) followed by a post hoc Tukey HSD test allowed comparison of damage in three or more groups (heavy vapers, light vapers, and nonusers, as well as heavy smokers, light smokers, and nonusers). DNA damage was also analysed in this manner when assessing e-cigarette device type, liquid type or in non-users. Pearson correlation coefficient analysis allowed examination of relationships between different variables. Mean levels of DNA damage in the POLB gene was 2.6-fold higher in vapers (p = 0.005) and 2.2-fold higher in smokers (p = 0.020), when compared to non-users. On comparing POLB gene DNA damage in vapers versus smokers, the results were not statistically significant (p = 0.522). Comparing DNA damage in the HPRT gene, levels were much higher in vapers (p = 0.029) and smokers (p = 0.033) versus non-users. Similarly to the POLB gene, DNA damage levels in the HPRT gene in vapers versus smokers were not statistically significant (p = 0.578). When assessing volume of e-cigarette liquid or smoking pack years, levels of DNA damage in increased in the POLB gene in a dose-dependent manner between 'light' and 'heavy' users versus non-users (F = 4.571, p = 0.0156 | Tukey's HSD p = 0.0195 in vapers, F = 4.368, p = 0.0185 | Tukey's HSD p = 0.0135 in smokers). Vaping device type was investigated showing mean level of DNA damage in the oral cells of pod device users was 3.3-fold higher compared to non-users (F = 3.886, p = 0.0152 | Tukey's HSD p = 0.0216). This was followed by a 2.6-fold increase in oral cell DNA damage in Mod device users, and a 1.6-fold increase in multiple device users. Levels of DNA damage was higher in those who consume sweet-flavoured e-liquid (F = 3.238, p = 0.0146 | Tukey's HSD p < 0.05), followed by vapers of multiple flavours, mint or menthol and tobacco, and fruit flavours. No correlation was found between DNA damage of oral cells and cumulative nicotine consumption in vapers (r = 0.3189, p = 0.1288). Plasma cotinine levels, a validated maker of tobacco in cigarettes and e-cigarettes, were not significantly different between vapers and smokers (p = 0.607), but were significantly higher compared to non-users (p < 0.0001). Whist compared to non-users, vapers had similar levels of CO and %COHb, smokers showed significantly increased levels (p = 0.0005 and p = 0.0002, respectively). Based on the results of this study, there is evidence to support a dose-dependent formation of DNA damage in oral cells in those vapers who have never smoked cigarettes, and in those exclusive cigarette smokers. Additionally, e-cigarette device type and flavour, may also determine levels of DNA damage.
DesignStudy participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb region of the DNA polymerase beta gene (POLB). An additional gene, hypoxanthine phosphoribosyltransferase 1 (HPRT), was also interrogated for validity. Enzyme-linked immunosorbent assay (ELISA) was used to measure plasma cotinine levels. Breath monitoring was measured using Bedfont Micro Smokerlyzer in order to quantify exhaled CO and %COHb levels in participants.Case selection72 subjects, consisting of both males and females of diverse ages, races and ethnicities, were recruited. Comprehensive interviews alongside biochemical studies were used to verify smoking and vaping status. Participants classified as vapers reported a minimum use of e-cigarettes three times weekly for 6 months, with no use of cigarettes or tobacco products in their lifetime. Smokers reported cigarette consumption for a minimum of three times weekly for at least 12 months, less than five vaping sessions ever and no use of other tobacco products in the previous 6 months. Participants reporting no or less than five uses of e-cigarettes or tobacco products were classified as non-users. Former smokers, vapers and those who were dual or poly users of e-cigarettes, cigarettes or tobacco products were excluded.Data analysisR environment for statistical computing (RStudio), was used for data analysis. The Shapiro-Wilk test was used to evaluate the distribution of data. Student’s t test allowed comparison of all variables between two groups (vapers and nonusers, smokers and nonusers, or vapers and smokers), specifically DNA damage levels. A one-way Analysis of Variance (ANOVA) followed by a post hoc Tukey HSD test allowed comparison of damage in three or more groups (heavy vapers, light vapers, and nonusers, as well as heavy smokers, light smokers, and nonusers). DNA damage was also analysed in this manner when assessing e-cigarette device type, liquid type or in non-users. Pearson correlation coefficient analysis allowed examination of relationships between different variables.ResultsMean levels of DNA damage in the POLB gene was 2.6-fold higher in vapers (p = 0.005) and 2.2-fold higher in smokers (p = 0.020), when compared to non-users. On comparing POLB gene DNA damage in vapers versus smokers, the results were not statistically significant (p = 0.522). Comparing DNA damage in the HPRT gene, levels were much higher in vapers (p = 0.029) and smokers (p = 0.033) versus non-users. Similarly to the POLB gene, DNA damage levels in the HPRT gene in vapers versus smokers were not statistically significant (p = 0.578).When assessing volume of e-cigarette liquid or smoking pack years, levels of DNA damage in increased in the POLB gene in a dose-dependent manner between ‘light’ and ‘heavy’ users versus non-users (F = 4.571, p = 0.0156 | Tukey’s HSD p = 0.0195 in vapers, F = 4.368, p = 0.0185 | Tukey’s HSD p = 0.0135 in smokers). Vaping device type was investigated showing mean level of DNA damage in the oral cells of pod device users was 3.3-fold higher compared to non-users (F = 3.886, p = 0.0152 | Tukey’s HSD p = 0.0216). This was followed by a 2.6-fold increase in oral cell DNA damage in Mod device users, and a 1.6-fold increase in multiple device users.Levels of DNA damage was higher in those who consume sweet-flavoured e-liquid (F = 3.238, p = 0.0146 | Tukey’s HSD p < 0.05), followed by vapers of multiple flavours, mint or menthol and tobacco, and fruit flavours. No correlation was found between DNA damage of oral cells and cumulative nicotine consumption in vapers (r = 0.3189, p = 0.1288).Plasma cotinine levels, a validated maker of tobacco in cigarettes and e-cigarettes, were not significantly different between vapers and smokers (p = 0.607), but were significantly higher compared to non-users (p < 0.0001). Whist compared to non-users, vapers had similar levels of CO and %COHb, smokers showed significantly increased levels (p = 0.0005 and p = 0.0002, respectively).ConclusionsBased on the results of this study, there is evidence to support a dose-dependent formation of DNA damage in oral cells in those vapers who have never smoked cigarettes, and in those exclusive cigarette smokers. Additionally, e-cigarette device type and flavour, may also determine levels of DNA damage.
Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb region of the DNA polymerase beta gene (POLB). An additional gene, hypoxanthine phosphoribosyltransferase 1 (HPRT), was also interrogated for validity. Enzyme-linked immunosorbent assay (ELISA) was used to measure plasma cotinine levels. Breath monitoring was measured using Bedfont Micro Smokerlyzer in order to quantify exhaled CO and %COHb levels in participants.DESIGNStudy participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples of oral epithelial cells were collected. DNA damage quantification was assessed using LA-QPCR, and analysis interrogated a 12.2 kb region of the DNA polymerase beta gene (POLB). An additional gene, hypoxanthine phosphoribosyltransferase 1 (HPRT), was also interrogated for validity. Enzyme-linked immunosorbent assay (ELISA) was used to measure plasma cotinine levels. Breath monitoring was measured using Bedfont Micro Smokerlyzer in order to quantify exhaled CO and %COHb levels in participants.72 subjects, consisting of both males and females of diverse ages, races and ethnicities, were recruited. Comprehensive interviews alongside biochemical studies were used to verify smoking and vaping status. Participants classified as vapers reported a minimum use of e-cigarettes three times weekly for 6 months, with no use of cigarettes or tobacco products in their lifetime. Smokers reported cigarette consumption for a minimum of three times weekly for at least 12 months, less than five vaping sessions ever and no use of other tobacco products in the previous 6 months. Participants reporting no or less than five uses of e-cigarettes or tobacco products were classified as non-users. Former smokers, vapers and those who were dual or poly users of e-cigarettes, cigarettes or tobacco products were excluded.CASE SELECTION72 subjects, consisting of both males and females of diverse ages, races and ethnicities, were recruited. Comprehensive interviews alongside biochemical studies were used to verify smoking and vaping status. Participants classified as vapers reported a minimum use of e-cigarettes three times weekly for 6 months, with no use of cigarettes or tobacco products in their lifetime. Smokers reported cigarette consumption for a minimum of three times weekly for at least 12 months, less than five vaping sessions ever and no use of other tobacco products in the previous 6 months. Participants reporting no or less than five uses of e-cigarettes or tobacco products were classified as non-users. Former smokers, vapers and those who were dual or poly users of e-cigarettes, cigarettes or tobacco products were excluded.R environment for statistical computing (RStudio), was used for data analysis. The Shapiro-Wilk test was used to evaluate the distribution of data. Student's t test allowed comparison of all variables between two groups (vapers and nonusers, smokers and nonusers, or vapers and smokers), specifically DNA damage levels. A one-way Analysis of Variance (ANOVA) followed by a post hoc Tukey HSD test allowed comparison of damage in three or more groups (heavy vapers, light vapers, and nonusers, as well as heavy smokers, light smokers, and nonusers). DNA damage was also analysed in this manner when assessing e-cigarette device type, liquid type or in non-users. Pearson correlation coefficient analysis allowed examination of relationships between different variables.DATA ANALYSISR environment for statistical computing (RStudio), was used for data analysis. The Shapiro-Wilk test was used to evaluate the distribution of data. Student's t test allowed comparison of all variables between two groups (vapers and nonusers, smokers and nonusers, or vapers and smokers), specifically DNA damage levels. A one-way Analysis of Variance (ANOVA) followed by a post hoc Tukey HSD test allowed comparison of damage in three or more groups (heavy vapers, light vapers, and nonusers, as well as heavy smokers, light smokers, and nonusers). DNA damage was also analysed in this manner when assessing e-cigarette device type, liquid type or in non-users. Pearson correlation coefficient analysis allowed examination of relationships between different variables.Mean levels of DNA damage in the POLB gene was 2.6-fold higher in vapers (p = 0.005) and 2.2-fold higher in smokers (p = 0.020), when compared to non-users. On comparing POLB gene DNA damage in vapers versus smokers, the results were not statistically significant (p = 0.522). Comparing DNA damage in the HPRT gene, levels were much higher in vapers (p = 0.029) and smokers (p = 0.033) versus non-users. Similarly to the POLB gene, DNA damage levels in the HPRT gene in vapers versus smokers were not statistically significant (p = 0.578). When assessing volume of e-cigarette liquid or smoking pack years, levels of DNA damage in increased in the POLB gene in a dose-dependent manner between 'light' and 'heavy' users versus non-users (F = 4.571, p = 0.0156 | Tukey's HSD p = 0.0195 in vapers, F = 4.368, p = 0.0185 | Tukey's HSD p = 0.0135 in smokers). Vaping device type was investigated showing mean level of DNA damage in the oral cells of pod device users was 3.3-fold higher compared to non-users (F = 3.886, p = 0.0152 | Tukey's HSD p = 0.0216). This was followed by a 2.6-fold increase in oral cell DNA damage in Mod device users, and a 1.6-fold increase in multiple device users. Levels of DNA damage was higher in those who consume sweet-flavoured e-liquid (F = 3.238, p = 0.0146 | Tukey's HSD p < 0.05), followed by vapers of multiple flavours, mint or menthol and tobacco, and fruit flavours. No correlation was found between DNA damage of oral cells and cumulative nicotine consumption in vapers (r = 0.3189, p = 0.1288). Plasma cotinine levels, a validated maker of tobacco in cigarettes and e-cigarettes, were not significantly different between vapers and smokers (p = 0.607), but were significantly higher compared to non-users (p < 0.0001). Whist compared to non-users, vapers had similar levels of CO and %COHb, smokers showed significantly increased levels (p = 0.0005 and p = 0.0002, respectively).RESULTSMean levels of DNA damage in the POLB gene was 2.6-fold higher in vapers (p = 0.005) and 2.2-fold higher in smokers (p = 0.020), when compared to non-users. On comparing POLB gene DNA damage in vapers versus smokers, the results were not statistically significant (p = 0.522). Comparing DNA damage in the HPRT gene, levels were much higher in vapers (p = 0.029) and smokers (p = 0.033) versus non-users. Similarly to the POLB gene, DNA damage levels in the HPRT gene in vapers versus smokers were not statistically significant (p = 0.578). When assessing volume of e-cigarette liquid or smoking pack years, levels of DNA damage in increased in the POLB gene in a dose-dependent manner between 'light' and 'heavy' users versus non-users (F = 4.571, p = 0.0156 | Tukey's HSD p = 0.0195 in vapers, F = 4.368, p = 0.0185 | Tukey's HSD p = 0.0135 in smokers). Vaping device type was investigated showing mean level of DNA damage in the oral cells of pod device users was 3.3-fold higher compared to non-users (F = 3.886, p = 0.0152 | Tukey's HSD p = 0.0216). This was followed by a 2.6-fold increase in oral cell DNA damage in Mod device users, and a 1.6-fold increase in multiple device users. Levels of DNA damage was higher in those who consume sweet-flavoured e-liquid (F = 3.238, p = 0.0146 | Tukey's HSD p < 0.05), followed by vapers of multiple flavours, mint or menthol and tobacco, and fruit flavours. No correlation was found between DNA damage of oral cells and cumulative nicotine consumption in vapers (r = 0.3189, p = 0.1288). Plasma cotinine levels, a validated maker of tobacco in cigarettes and e-cigarettes, were not significantly different between vapers and smokers (p = 0.607), but were significantly higher compared to non-users (p < 0.0001). Whist compared to non-users, vapers had similar levels of CO and %COHb, smokers showed significantly increased levels (p = 0.0005 and p = 0.0002, respectively).Based on the results of this study, there is evidence to support a dose-dependent formation of DNA damage in oral cells in those vapers who have never smoked cigarettes, and in those exclusive cigarette smokers. Additionally, e-cigarette device type and flavour, may also determine levels of DNA damage.CONCLUSIONSBased on the results of this study, there is evidence to support a dose-dependent formation of DNA damage in oral cells in those vapers who have never smoked cigarettes, and in those exclusive cigarette smokers. Additionally, e-cigarette device type and flavour, may also determine levels of DNA damage.
Author Murphy, Siofra
Author_xml – sequence: 1
  givenname: Siofra
  orcidid: 0009-0003-2081-3017
  surname: Murphy
  fullname: Murphy, Siofra
  email: siofra.murphy2@ggc.scot.nhs.uk
  organization: Department of Oral and Maxillofacial Surgery, University Hospital Crosshouse
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37828109$$D View this record in MEDLINE/PubMed
BookMark eNp9kctOwzAQRS1UBBT4ARYoEhs2gfEjtrNCVXmKCjYglpaTTNqgPIqdLPr3uLSAxIKVr-xzZzxzx2TUdi0SckLhggLXl15QwVkMjMcAqeDxaoccUKFknAghR2stwzOIdJ-MvX8HAKUg2SP7XGmmKaQH5PFtYfsI47yaW4d9j1Fp875zPiqwR9dULUads3WEy6pfYF0Fef00iQrb2DlGVRvlXeuHBp2_OiK7pa09Hm_PQ_J6e_MyvY9nz3cP08kszjmTfZwVDIosTTPLE1EmEmXGcp0lQHlSJjoFQaWGEqmCIpdhkowKyzkU4V5apvkhOd_UXbruY0Dfm6byOda1bbEbvGFaKZ4yoXlAz_6g793g2vA7w1JgVFGt1gVPt9SQNViYpasa61bme00BYBsgd533DssfhIJZZ2E2WZiQhfnKwqyCiW9MPsDtHN1v739cn0oaiZk
Cites_doi 10.1007/978-1-62703-739-6_31
ContentType Journal Article
Copyright The Author(s), under exclusive licence to British Dental Association 2023
2023. The Author(s), under exclusive licence to British Dental Association.
The Author(s), under exclusive licence to British Dental Association 2023.
Copyright_xml – notice: The Author(s), under exclusive licence to British Dental Association 2023
– notice: 2023. The Author(s), under exclusive licence to British Dental Association.
– notice: The Author(s), under exclusive licence to British Dental Association 2023.
DBID AAYXX
CITATION
NPM
3V.
7QP
7X7
7XB
88E
8AO
8C1
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M7P
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
7X8
DOI 10.1038/s41432-023-00943-y
DatabaseName CrossRef
PubMed
ProQuest Central (Corporate)
Calcium & Calcified Tissue Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
Public Health Database
ProQuest SciTech Collection
ProQuest Natural Science Journals
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Biological Science Database
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
DatabaseTitle CrossRef
PubMed
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Public Health
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
PubMed
ProQuest Central Student
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: BENPR
  name: ProQuest Central
  url: http://www.proquest.com/pqcentral?accountid=15518
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Dentistry
EISSN 1476-5446
EndPage 164
ExternalDocumentID 37828109
10_1038_s41432_023_00943_y
Genre Journal Article
GroupedDBID ---
-Q-
0R~
29G
2WC
34H
39C
4.4
406
53G
5GY
70F
7X7
88E
8AO
8C1
8FE
8FH
8FI
8FJ
8R4
8R5
AACDK
AANZL
AASML
AATNV
AAYZH
ABAKF
ABAWZ
ABBRH
ABDBE
ABFSG
ABRTQ
ABUWG
ABZZP
ACAOD
ACKTT
ACPRK
ACRQY
ACSTC
ACZOJ
ADBBV
ADFRT
AEFQL
AEJRE
AEMSY
AEVLU
AEXYK
AEZWR
AFBBN
AFDZB
AFHIU
AFKRA
AFSHS
AGAYW
AGHAI
AGQEE
AHMBA
AHSBF
AHWEU
AIGIU
AILAN
AIXLP
AJRNO
ALFFA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMYLF
ATHPR
AXYYD
BBNVY
BENPR
BHPHI
BKKNO
BPHCQ
BVXVI
CAG
CCPQU
COF
CS3
DNIVK
DPUIP
EBD
EBLON
EBS
EE.
EIOEI
EJD
F5P
FDQFY
FERAY
FIGPU
FIZPM
FSGXE
FYUFA
HCIFZ
HMCUK
HZ~
IWAJR
JSO
KQ8
LK8
M1P
M7P
NQJWS
O9-
OK1
OVD
PHGZM
PHGZT
PJZUB
PPXIY
PQGLB
PQQKQ
PROAC
PSQYO
Q2X
RNS
RNT
RNTTT
ROL
SNX
SNYQT
SOHCF
SOJ
SRMVM
SWTZT
TAOOD
TBHMF
TDRGL
TEORI
TR2
TSG
UKHRP
W2D
AAYXX
CITATION
PUEGO
NPM
3V.
7QP
7XB
8FK
AZQEC
DWQXO
GNUQQ
K9.
PKEHL
PQEST
PQUKI
PRINS
7X8
ID FETCH-LOGICAL-c326t-bd20db99ba354f56e6b2c8b50135f589041680fe170dc6446b14a330d4166a283
IEDL.DBID 7X7
ISSN 1462-0049
1476-5446
IngestDate Fri Sep 05 10:26:40 EDT 2025
Sat Aug 23 12:47:52 EDT 2025
Thu Apr 03 07:06:15 EDT 2025
Wed Oct 01 04:07:04 EDT 2025
Mon Jul 21 06:08:40 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
License 2023. The Author(s), under exclusive licence to British Dental Association.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c326t-bd20db99ba354f56e6b2c8b50135f589041680fe170dc6446b14a330d4166a283
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Commentary-3
content type line 23
ORCID 0009-0003-2081-3017
PMID 37828109
PQID 2902171878
PQPubID 44269
PageCount 2
ParticipantIDs proquest_miscellaneous_2877392483
proquest_journals_2902171878
pubmed_primary_37828109
crossref_primary_10_1038_s41432_023_00943_y
springer_journals_10_1038_s41432_023_00943_y
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-12-01
PublicationDateYYYYMMDD 2023-12-01
PublicationDate_xml – month: 12
  year: 2023
  text: 2023-12-01
  day: 01
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Evidence-based dentistry
PublicationTitleAbbrev Evid Based Dent
PublicationTitleAlternate Evid Based Dent
PublicationYear 2023
Publisher Nature Publishing Group UK
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
References FurdaASantosJHMeyerJNVanHoutenBQuantitative PCR-based measurement of nuclear and mitochondrial DNA damage and repair in mammalian cellsMethods Mol Biol.201411054193710.1007/978-1-62703-739-6_31246232454407362
Office of National Statistics (2022). E-cigarette use in Great Britain. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/drugusealcoholandsmoking/datasets/ecigaretteuseingreatbritain. Accessed September 2023.
E-Cigarettes- United Kingdom. Statistica. https://www.statista.com/outlook/cmo/tobacco-products/e-cigarettes/united-kingdom Accessed September 2023.
A Furda (943_CR3) 2014; 1105
943_CR1
943_CR2
References_xml – reference: E-Cigarettes- United Kingdom. Statistica. https://www.statista.com/outlook/cmo/tobacco-products/e-cigarettes/united-kingdom Accessed September 2023.
– reference: Office of National Statistics (2022). E-cigarette use in Great Britain. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/drugusealcoholandsmoking/datasets/ecigaretteuseingreatbritain. Accessed September 2023.
– reference: FurdaASantosJHMeyerJNVanHoutenBQuantitative PCR-based measurement of nuclear and mitochondrial DNA damage and repair in mammalian cellsMethods Mol Biol.201411054193710.1007/978-1-62703-739-6_31246232454407362
– ident: 943_CR2
– ident: 943_CR1
– volume: 1105
  start-page: 419
  year: 2014
  ident: 943_CR3
  publication-title: Methods Mol Biol.
  doi: 10.1007/978-1-62703-739-6_31
SSID ssj0007705
Score 2.2723522
Snippet Design Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy...
Study participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy samples...
DesignStudy participants were divided equally into three groups being exclusive vapers (never smokers), current exclusive smokers and non-users. Brush biopsy...
SourceID proquest
pubmed
crossref
springer
SourceType Aggregation Database
Index Database
Publisher
StartPage 163
SubjectTerms 692/699/3020/1665
692/700/3032/3129
Biopsy
Cigarette smoking
Comment
Cotinine
Data analysis
Dentistry
DNA damage
DNA-directed DNA polymerase
Electronic cigarettes
Enzyme-linked immunosorbent assay
Epithelial cells
Hypoxanthine
Hypoxanthine phosphoribosyltransferase
Medicine
Menthol
Phosphoribosyltransferase
PolB gene
Statistical analysis
Tobacco
Vaping
Variance analysis
Title What e-cigarette factors determine oral epithelial DNA damage in consumers?
URI https://link.springer.com/article/10.1038/s41432-023-00943-y
https://www.ncbi.nlm.nih.gov/pubmed/37828109
https://www.proquest.com/docview/2902171878
https://www.proquest.com/docview/2877392483
Volume 24
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1476-5446
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0007705
  issn: 1462-0049
  databaseCode: KQ8
  dateStart: 19980101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVLSH
  databaseName: SpringerLink Journals
  customDbUrl:
  mediaType: online
  eissn: 1476-5446
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0007705
  issn: 1462-0049
  databaseCode: AFBBN
  dateStart: 19981101
  isFulltext: true
  providerName: Library Specific Holdings
– providerCode: PRVPQU
  databaseName: Health & Medical Collection
  customDbUrl:
  eissn: 1476-5446
  dateEnd: 20241001
  omitProxy: true
  ssIdentifier: ssj0007705
  issn: 1462-0049
  databaseCode: 7X7
  dateStart: 20020101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/healthcomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 1476-5446
  dateEnd: 20241001
  omitProxy: true
  ssIdentifier: ssj0007705
  issn: 1462-0049
  databaseCode: BENPR
  dateStart: 20020101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfZ1LS8QwEIAHHwe9iG_XFxG8aTBtkjY5iU9EcRFR2FtJ2gQWtLu668F_76TNrojopYe0tGEmnXzJzGQADhFShcDlP0U6l1TkBu1gaQxFFFHCpF5wH3KH77vZzbO47cle3HAbxbDKiU1sDHU1KMMe-UmqAz0nKlenwzcaqkYF72osoTEL8wmiShjVeW-64GJ53oQwojFIaUDhmDTDuDoZCQQFbE05bYLr6OfPiekXbf7ylDYT0PUyLEVyJGetqldgxtWrsHAZon1CwbY1uAvHcBNHy35TunbsSCymQ6oY8-JIyMcnbhgSMV5w5JHL7hmpzCsaFdKvSRnzMUen6_B8ffV0cUNjrQRaIoCNqa1SVlmtreFSeJm5zKalshIJT3qpNEPwUsy7JGdViQyU2UQYzlmF7ZlBxtiAuXpQuy0gVltchZWZ9NoKp6R2RnjHnTfSM-10B44mgiqG7ZEYRePK5qpoxVqgWItGrMVnB3Ynsizi7zEqvpXZgYPpbRzYwVthajf4wGdUniO8CcU7sNnqYPo5jlyjEoZdOZ4o5fvlf_dl-_--7MBiKCbfBqvswtz4_cPtIXKM7X4zrvCqLpJ9mD-_6j48fgG-eNIR
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtZ1LTxsxEIBHQA9wQfQBBGjrSu0JLJy1vWsfEEJNUWggJ5ByM_auLSG1m0CCUP4Uv5HxPoIqRG9cvSuvNR6Pv1nPeAC-I6QKge4_RTqXVGQW7WBuLUUUUcImQfAQc4cvhmn_SvweydESPLa5MDGssrWJlaEuxnn8R36Y6EjPXZWp48ktjVWj4ulqW0KjVouBnz-gyzY9Ouvh_P5IktNflz_7tKkqQHNElRl1RcIKp7WzXIogU5-6JFdOIgvJIJVmiCiKBd_NWJEjLaSuKyx6_QW2pxZ3Y-x3Gd4JzkS8qz8bLRw8lmVVyCQan4RG9G6SdBhXh1OBYIKtCadVMB-d_7sRvqDbFyez1YZ3ugHrDamSk1q13sOSLz_Aai9GF8UCcR9hEK_9Jp7mN1Wp3JknTfEeUjQxNp7E_H_iJzHx4w9qOukNT0hh_6IRIzclyZv8z-nxJ7h6Eyluwko5Lv02EKcden15KoN2wiupvRXBcx-sDEx73YH9VlBmUl_BYaqjc65MLVaDYjWVWM28A3utLE2zHKfmWXk68G3xGBdSPB2xpR_f4zsqyxAWheId2KrnYPE5jhylugyHctBOynPnr49l5_9j-Qqr_cuLc3N-NhzswlosZF8HyuzByuzu3n9G3Jm5L5WOEbh-a6V-Ai1JCrk
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxEB6VVgIuiPIooaUYCU5gxVnba_uAqoo0aglEHKiUm7F3balSu0mbVCh_jV_X8T5SoQpuvXpXXmtmPP5m5xsPwHsEqUJg-E8RnUsqlEM_WDhHEYpo4bIoeEy1w98n-fGp-DqV0w3409XCJFpl5xNrR13OivSPvJ-ZhJ4HWul-bGkRP4ajg_klTR2kUqa1a6fRmMg4rH5j-Lb4fDJEXX_IstHRzy_HtO0wQAuELUvqy4yV3hjvuBRR5iH3WaG9RFwko9SGIVzRLIaBYmWByCH3A-E4ZyWO5w5PZpz3AWwpLniik6npOthjStX0SXREGU0wvC3YYVz3FwJBCo5mnNbEPrr6-1C8g3TvZGnrw2_0FJ60qJUcNma2DRuhegaPholplJrFPYdxugKcBFqc1W1zl4G0jXxI2fJtAkl3AZAwT0Ug52j1ZDg5JKW7QIdGzipStLWgi4MXcHovUnwJm9WsCq-AeOMxAixyGY0XQUsTnIiBh-hkZCaYHnzsBGXnzXUctk6jc20bsVoUq63Falc92OtkadutubC3htSDd-vHuKlSpsRVYXaN72ilEDgKzXuw0-hg_TmOmEoPGC7lU6eU28n_vZbX_1_LW3iI5my_nUzGu_A49bRvODN7sLm8ug5vEPks_X5tYgR-3bdN3wDH8A70
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=What+e-cigarette+factors+determine+oral+epithelial+DNA+damage+in+consumers%3F&rft.jtitle=Evidence-based+dentistry&rft.au=Murphy%2C+Siofra&rft.date=2023-12-01&rft.issn=1476-5446&rft.eissn=1476-5446&rft.volume=24&rft.issue=4&rft.spage=163&rft_id=info:doi/10.1038%2Fs41432-023-00943-y&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1462-0049&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1462-0049&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1462-0049&client=summon