scholarly journals Urinary N7-(1-hydroxy-3-buten-2-yl) guanine adducts in humans: temporal stability and association with smoking

Mutagenesis ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 19-26
Author(s):  
Caitlin C Jokipii Krueger ◽  
Guru Madugundu ◽  
Amanda Degner ◽  
Yesha Patel ◽  
Daniel O Stram ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoke ◽  
Solid Phase ◽  
Smoking Status ◽  
Temporal Stability ◽  
Metabolic Activation ◽  
Human Carcinogen ◽  
Guanine Adducts ◽  
Occupationally Exposed ◽  
Covalent Adducts

Abstract 1,3-Butadiene (BD) is a known human carcinogen found in cigarette smoke, automobile exhaust, and urban air. Workers occupationally exposed to BD in the workplace have an increased incidence of leukemia and lymphoma. BD undergoes cytochrome P450-mediated metabolic activation to 3,4-epoxy-1-butene (EB), 1,2,3,4-diepoxybutane (DEB) and 1,2-dihydroxy-3,4-epoxybutane (EBD), which form covalent adducts with DNA. We have previously reported a quantitative nanoLC/ESI+-HRMS3 method for urinary N7-(1-hydroxy-3-buten-2-yl) guanine (EB-GII) adducts as a mechanism-based biomarker of BD exposure. In the present study, the method was updated to include high throughput 96-well solid phase extraction (SPE) and employed to establish urinary EB-GII biomarker stability and association with smoking. Urinary EB-GII levels were measured bimonthly for 1 year in 19 smokers to determine whether single adduct measurement provides reliable levels of EB-GII in an individual smoker. In addition, association of EB-GII with smoking was studied in 17 individuals participating in a smoking cessation program. EB-GII levels decreased 34% upon smoking cessation, indicating that it is associated with smoking status, but may also originate from sources other than exposure to cigarette smoke.

scholarly journals Epigenetic signatures of starting and stopping smoking

2018 ◽  
Author(s):  
Daniel L McCartney ◽  
Anna J Stevenson ◽  
Robert F Hillary ◽  
Rosie M Walker ◽  
Mairead L Bermingham ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Smoking Cessation ◽  
Cigarette Smoke ◽  
Prolonged Exposure ◽  
Smoking Status ◽  
High Dose ◽  
Former Smokers ◽  
Never Smokers ◽  
Methylation Patterns ◽  
Never Smoker

AbstractBackgroundMultiple studies have made robust associations between differential DNA methylation and exposure to cigarette smoke. But whether a DNA methylation phenotype is established immediately upon exposure, or only after prolonged exposure is less well-established. Here, we assess DNA methylation patterns in current smokers in response to dose and duration of exposure, along with the effects of smoking cessation on DNA methylation in former smokers.MethodsDimensionality reduction was applied to DNA methylation data at 90 previously identified smoking-associated CpG sites for over 4,900 individuals in the Generation Scotland cohort. K-means clustering was performed to identify clusters associated with current and never smoker status based on these methylation patterns. Cluster assignments were assessed with respect to duration of exposure in current smokers (years as a smoker), time since smoking cessation in former smokers (years), and dose (cigarettes per day).ResultsTwo clusters were specified, corresponding to never smokers (97.5% of whom were assigned to Cluster 1) and current smokers (81.1% of whom were assigned to Cluster 2). The exposure time point from which >50% of current smokers were assigned to thesmoker-enrichedcluster varied between 5-9 years in heavier smokers and between 15-19 years in lighter smokers. Low-dose former smokers were more likely to be assigned to thenever smoker-enrichedcluster from the first year following cessation. In contrast, a period of at least two years was required before the majority of former high-dose smokers were assigned to the never smoker-enriched cluster.ConclusionsOur findings suggest that smoking-associated DNA methylation changes are a result of prolonged exposure to cigarette smoke, and can be reversed following cessation. The length of time in which these signatures are established and recovered is dose dependent. Should DNA methylation-based signatures of smoking status be predictive of smoking-related health outcomes, our findings may provide an additional criterion on which to stratify risk.

Solid Phase Excitation-Emission Matrix Spectroscopy for In-Situ Chemical Analysis of Combustion Aerosols

2020 ◽  
Author(s):  
Gaurav Mahamuni ◽  
Jiayang He ◽  
Jay Rutherford ◽  
Byron Ockerman ◽  
Edmund Seto ◽  
...  
Keyword(s):  
Chemical Analysis ◽  
Cigarette Smoke ◽  
Forest Fires ◽  
Solid Phase ◽  
Incident Angle ◽  
Personal Exposure ◽  
Traffic Emission ◽  
Excitation Emission Matrix ◽  
Internal Excitation

<p>Exposure to combustion generated aerosols such as PM from residential woodburning, forest fires, cigarette smoke, and traffic emission have been linked to adverse health outcomes. It is important to assess the chemical composition of PM to examine personal exposure. Excitation-emission matrix (EEM) spectroscopy has been shown as a sensitive and cost-effective technique for evaluation of combustion PM composition and as a source apportionment tool. However, EEM measurements are hindered by a solvent extraction step and a need for benchtop instrumentation. Here, we present a methodology that eliminates this labor-intensive sample preparation and allows to automate and miniaturize the detection platform. A miniature electrostatic collector deposits PM sample onto transparent polydimethylsiloxane (PDMS) coated substrate, where PAH components are extracted into solid-phase (SP) solvent and analyzed using EEM spectroscopy in-situ. We evaluated external and internal excitation schemes to optimized signal to noise ratio. Analysis of woodsmoke and cigarette smoke samples showed good agreement with liquid extraction EEM spectra. Internal excitation is hindered by fluorescent interference from PDMS at λ<250nm. The external excitation EEM spectra are dependent on the incident angle; ranges of 30-40⁰ and 55-65⁰ showed the best results. The proposed SP-EEM technique can be used for development of miniaturized sensors for chemical analysis of combustion generated PM. </p>

Does Active Smoking Influence the Second Trimester Biochemical Markers Concentrations?

2017 ◽  
Vol 68 (10) ◽  
pp. 2234-2236
Author(s):  
Dan Navolan ◽  
Florin Birsasteanu ◽  
Adrian Carabineanu ◽  
Octavian Cretu ◽  
Diana Liana Badiu ◽  
...  
Keyword(s):  
Pregnant Woman ◽  
Pregnant Women ◽  
Cigarette Smoke ◽  
Chorionic Gonadotropin ◽  
Reference Values ◽  
Biochemical Markers ◽  
Smoking Status ◽  
Active Smoking ◽  
Second Trimester ◽  
Harmful Effects

Cigarette smoke contains over 7000 different substances some of them exerting harmful effects on embryo and pregnant woman. Nowadays 15 % of adult people and around 10-15% of pregnant women smoke. Previous studies showed that cigarette smoke compounds could exert pharmacodinamic effects and influence some of the second trimester biochemical markers concentration. Therefore there is a need to adjust the reference values of second trimester markers depending of the smoker status. The aim of our study was to analyse which of the markers are influenced by smoking and whether the software used to calculate the risk for aneuploidies is able to counterbalance this influence. Alpha-fetoprotein (AFP), chorionic gonadotropin hormone (hCG) and free estriol (uE3) values were measured in second trimester sera of 1242 pregnant women: 1089 non-smokers and 153 smokers. Only hCG second trimester values were influenced by smoking whereas AFP and uE3 values were not. The correction of medians according to the smoking status was able to counterbalance this effect.

scholarly journals Improving smoking cessation in first episode psychosis: a quality improvement project by the City & Hackney Early and Quick Intervention Psychosis (EQUIP)

2020 ◽  
Vol 9 (4) ◽  
pp. e001002
Author(s):  
Orestis Kanter Bax ◽  
Nadim Hakim ◽  
Michael Jeggo ◽  
Declan Phelan ◽  
Timothy Stevens ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Quality Improvement ◽  
Patient Participation ◽  
Smoking Status ◽  
First Episode Psychosis ◽  
Public Health Issue ◽  
First Episode ◽  
Improvement Project ◽  
Episode Psychosis ◽  
The City

Smoking tobacco is a major public health issue and a significant cause of increased mortality. People with a first episode of psychosis are more likely to smoke and the subgroup that goes on to have schizophrenia will have a significantly reduced life expectancy to the general population. The City & Hackney Early and Quick Intervention in Psychosis Team is a community mental health team at East London NHS Foundation Trust, providing outpatient care for adults presenting with first episode psychosis. This project aimed to increase the number of smoking cessation referrals from EQUIP to national smoking cessation services to 15% of the total team caseload over 6 months initially. A secondary measure was to complete an assessment of the smoking status for 90% of the caseload at all times. Change ideas were tested using plan-do-study-act cycles. A smoking cessation referral pathway was created and disseminated to the outpatient and inpatient services. The project was discussed at least monthly at the clinical team meeting. An education and skills building session was organised and took place at the team away day and an education drop-in session for patients was organised. The project was slow to take-off and patient participation was essential in driving progress. The aim was achieved at 23 months. A collateral benefit indicated that 25.7% of the total number of smokers had been recorded as having stopped smoking during the course of this project. This project demonstrates the effectiveness of quality improvement methodology facilitated by efficient leadership, collaborative teamwork, patient participation and persistence to address a complex problem that has significant consequences to patient health.

scholarly journals Development of Machine Learning Models for Prediction of Smoking Cessation Outcome

2021 ◽  
Vol 18 (5) ◽  
pp. 2584
Author(s):  
Cheng-Chien Lai ◽  
Wei-Hsin Huang ◽  
Betty Chia-Chen Chang ◽  
Lee-Ching Hwang
Keyword(s):  
Machine Learning ◽  
Smoking Cessation ◽  
Success Rate ◽  
Prediction Models ◽  
Smoking Status ◽  
Medical Center ◽  
Machine Learning Algorithms ◽  
Classification And Regression Tree ◽  
Support Vector ◽  
Smoking Cessation Outcome

Predictors for success in smoking cessation have been studied, but a prediction model capable of providing a success rate for each patient attempting to quit smoking is still lacking. The aim of this study is to develop prediction models using machine learning algorithms to predict the outcome of smoking cessation. Data was acquired from patients underwent smoking cessation program at one medical center in Northern Taiwan. A total of 4875 enrollments fulfilled our inclusion criteria. Models with artificial neural network (ANN), support vector machine (SVM), random forest (RF), logistic regression (LoR), k-nearest neighbor (KNN), classification and regression tree (CART), and naïve Bayes (NB) were trained to predict the final smoking status of the patients in a six-month period. Sensitivity, specificity, accuracy, and area under receiver operating characteristic (ROC) curve (AUC or ROC value) were used to determine the performance of the models. We adopted the ANN model which reached a slightly better performance, with a sensitivity of 0.704, a specificity of 0.567, an accuracy of 0.640, and an ROC value of 0.660 (95% confidence interval (CI): 0.617–0.702) for prediction in smoking cessation outcome. A predictive model for smoking cessation was constructed. The model could aid in providing the predicted success rate for all smokers. It also had the potential to achieve personalized and precision medicine for treatment of smoking cessation.

scholarly journals A 7-month inhalation toxicology study in C57BL/6 mice demonstrates reduced pulmonary inflammation and emphysematous changes following smoking cessation or switching to e-vapor products

2021 ◽  
Vol 5 ◽  
pp. 239784732199587
Author(s):  
Ashutosh Kumar ◽  
Ulrike Kogel ◽  
Marja Talikka ◽  
Celine Merg ◽  
Emmanuel Guedj ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoke ◽  
Pulmonary Inflammation ◽  
Clinical Signs ◽  
Inhalation Study ◽  
Toxicology Study ◽  
Nasal Tissue ◽  
Product Switching ◽  
The Impact

Cigarette smoking causes serious diseases, including lung cancer, atherosclerotic coronary artery disease, peripheral vascular disease, chronic bronchitis, and emphysema. While cessation remains the most effective approach to minimize smoking-related disease, alternative non-combustible tobacco-derived nicotine-containing products may reduce disease risks among those unable or unwilling to quit. E-vapor aerosols typically contain significantly lower levels of smoke-related harmful and potentially harmful constituents; however, health risks of long-term inhalation exposures are unknown. We designed a 7-month inhalation study in C57BL/6 mice to evaluate long-term respiratory toxicity of e-vapor aerosols compared to cigarette smoke and to assess the impact of smoking cessation (Cessation group) or switching to an e-vapor product (Switching group) after 3 months of exposure to 3R4F cigarette smoke (CS). There were no significant changes in in-life observations (body weights, clinical signs) in e-vapor groups compared to the Sham Control. The 3R4F CS group showed reduced respiratory function during exposure and had lower body weight and showed transient signs of distress post-exposure. Following 7 months of exposure, e-vapor aerosols resulted in no or minimal increase in pulmonary inflammation, while exposure to 3R4F CS led to impairment of lung function and caused marked lung inflammation and emphysematous changes. Biological changes observed in the Switching group were similar to the Cessation group. 3R4F CS exposure dysregulated the lung and nasal tissue transcriptome, while these molecular effects were substantially lower in the e-vapor group. Results from this study demonstrate that in comparison with 3R4F CS, e-vapor aerosols induce substantially lower biological responses including pulmonary inflammation and emphysematous changes, and that complete switching from CS to e-vapor products significantly reduces biological changes associated with CS in C57BL/6 mice.

Patterns of non-cigarette tobacco and nicotine use among current cigarette smokers and recent quitters: Findings from the 2020 ITC Four Country Smoking and Vaping Survey

2021 ◽  
Author(s):  
Lin Li ◽  
Ron Borland ◽  
K Michael Cummings ◽  
Shannon Gravely ◽  
Anne C K Quah ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoking ◽  
Smoking Status ◽  
Tobacco Product ◽  
Cigarette Tobacco ◽  
Cigarette Smokers ◽  
Tobacco Products ◽  
Patterns Of Use ◽  
Levels Of Use ◽  
Current Cigarette

Abstract Introduction This study explores patterns of use of non-cigarette tobacco and nicotine products among adult cigarette smokers and recent ex-smokers. Along with cigarette smoking status we explore differences as a function of countries with different product regulations, gender and age. Methods Data came from the ITC Four Country Smoking and Vaping Wave 3 Survey conducted between February-June 2020. The analytic sample consisted of 9112 current cigarette smokers (at least monthly) and 1184 recent ex-smokers (quit cigarettes ≤ 2 years) from Australia, Canada, England, and the US. Respondents were asked about their cigarette smoking and current use of the following non-cigarette products: combustible tobacco (cigars, cigarillos, pipe, waterpipe); non-combustible tobacco (smokeless tobacco, and heated tobacco products (HTPs)); and non-tobacco nicotine products (nicotine vaping products (NVPs), nicotine replacement therapy (NRT), and nicotine pouches)). Results Overall, NVPs (13.7%) and NRT (10.9%) were the most reported nicotine products used, followed by cigars (5.3%), cigarillos (4.2%), and HTPs (3.5%). More than 21% current and recent ex-smokers of cigarettes reported using a non-tobacco nicotine product and non-combustible product, with respondents in England reporting the highest levels of use (&gt;26%). Males, younger respondents, and current non-daily cigarette smokers were more likely to use non-cigarette nicotine products. Notably, 11.6% of ex-cigarette smokers were using other combustible tobacco. Conclusion Considerable percentages of current cigarette smokers and ex-smokers use non-cigarette nicotine products, and there are unexpectedly high levels of use of other combustible products by those recent ex-smokers of cigarettes which is concerning and has important implications for definitions of smoking cessation. Implications The tobacco product market has evolved to include new products which add to existing non-cigarette tobacco products creating a much more diverse nicotine market. This brief report provides a snapshot of use of various combustible and non-combustible nicotine containing products among current cigarette smokers and recent ex-smokers in four western countries. Our results indicate that use of non-cigarette tobacco and nicotine products among these cigarette smokers and recent ex-smokers is not low, particularly among males, younger and non-daily cigarette smokers. Use of other combustible tobacco among respondents that recently quit cigarette smoking is concerning and has important implications for definitions of smoking cessation. Increased emphasis on researching non-cigarette nicotine product use is warranted in tobacco control generally and smoking cessation in particular.

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