Measurements of electronic cigarette-generated particles for the evaluation of lung cancer risk of active and passive users

Scungio, Mauro; Stabile, Luca; Buonanno, Giorgio

doi:10.1016/j.jaerosci.2017.10.006

Cited by 40 publications

(27 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The observation of a direct effect of nicotine dependence on UADT risk may have clinical significance, particularly since nicotine delivery devices such as electronic-cigarettes have been considered as a potential harm reduction tool, amid recent rises of vaping-related injuries [ 36 – 39 ]. Furthermore, nicotine replacement therapy is commonly prescribed in accordance with the Fagerström categories (high, medium, low nicotine dependence) because there is a good correlation between the Fagerström test score and serum levels of nicotine [ 15 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

Nicotine dependence as a risk factor for upper aerodigestive tract (UADT) cancers: A mediation analysis

et al. 2020

View full text Add to dashboard Cite

This study investigated nicotine dependence as an independent risk factor for upper aerodigestive tract (UADT) cancers, including lung and head and neck cancers (HNC). The study aimed to isolate the direct effect of nicotine dependence, independent of tobacco smoking. Methods A case-control study with a total of 4957 participants was conducted in Ontario, Canada, of which 2964 categorized as either current or former smokers were used in the analysis. Nicotine dependence of ever-smokers (2360 UADT cases and 604 controls) was measured using the Fagerströ m Test for Nicotine Dependence. Using mediation analyses and adjusted logistic regression models, we decomposed the direct effect of nicotine dependence and the mediated effect of smoking duration to quantify the risks of lung and HNC. The role of human papillomavirus (HPV) and cancer subtypes were assessed. Results Most individual nicotine dependence behaviours showed positive associations with lung cancer with approximately 1.8 to 3.5-fold risk increase, and to lesser extent with 1.4 to 2.3fold risk for HNC. Nicotine dependence is partially accountable for increased risks of lung cancer (

show abstract

Section: Discussionmentioning

confidence: 99%

Nicotine dependence as a risk factor for upper aerodigestive tract (UADT) cancers: A mediation analysis

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Currently, there is no single instrument that could satisfy all these requirements: therefore, a combination of techniques has to be used to obtain accurate measurements of e-cigs aerosol size. Several approaches exploiting different experimental techniques were applied including optical transmission (Ingebrethsen, Cole, and Alderman 2012) and laser scattering (Cabot et al 2013;Pratte, Cosandey, and Goujon-Ginglinger 2016;Dunkhorst et al 2018), differential (electrical) mobility real-time (Ingebrethsen, Cole, and Alderman 2012;Fuoco et al 2014;Marini et al 2014;Manigrasso et al 2015;Mikheev et al 2016;Baassiri et al 2017;Scungio, Stabile, and Buonanno 2018) and scanning mobility near real-time (Zhang, Sumner, and Chen 2013;Fuoco et al 2014;Zhao et al 2016) methods, and inertial impaction (Alderman et al 2015;Baassiri et al 2017;Oldham et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Aerosol size distribution measurement of electronic cigarette emissions using combined differential mobility and inertial impaction methods: Smoking machine and puff topography influence

Mikheev

Ivanov

Lucas

et al. 2018

Aerosol Science and Technology

View full text Add to dashboard Cite

A combination of a real-time high resolution aerosol differential mobility spectrometer (DMS500) and an electrical low pressure impactor (used as a traditional impactor) was applied to simultaneously collect real-time data and analyze particle size by weighing the mass of the aerosol collected on the impactor stages. Nonrefillable fixed-power as well as refillable and power adjustable e-cigarettes (e-cigs) were tested at various puffing flow rates. Two types of smoking machines were used: a smoke cycle simulator that provides instantaneous straight sample delivery to the analyzer and a Human Profile Pump that utilizes two synchronized pistons and operates by sample pull-push mode. Chemical analysis of the major components of e-liquid (propylene glycol, vegetable glycerol, water, and nicotine) was made using a proton nuclear magnetic resonance method. Limited amounts of samples collected on impactor stages were analyzed by liquid chromatography time-of-flight massspectrometry to find newly formed semi-or low-volatile organic compounds in e-cig aerosol and by transmission electron microscopy to check for the presence of nanoparticles in e-cig emissions. Differential mobility and inertial impaction methods showed comparable particle size results. Method of aerosol generation (type of the smoking machine) as well as puffing topography affected the e-cig particle size. Newly formed semi-or low-volatile organic compounds as well as metal nanoparticles were found in e-cig aerosol.

show abstract

“…In spite of similar deposition pattern and “hot-spots” of deposition in the bronchial bifurcation region (Balashazy et al, 2003 ), the EC droplets are expected to be much less toxic since they do not contain mutagenic compounds originated from combustion. Accordingly, the risk of getting lung cancer with EC use was claimed to be significantly reduced both for active and passive vaping (Scungioa et al, 2018 ).…”

Section: Tcs Vs Ecs—aerosol Deposition and Health Effectsmentioning

confidence: 99%

Particle Size Dynamics: Toward a Better Understanding of Electronic Cigarette Aerosol Interactions With the Respiratory System

Sosnowski

Odziomek

2018

Front. Physiol.

View full text Add to dashboard Cite

The knowledge of possible acute and long-term health effects of aerosols inhaled from electronic cigarettes (ECs) is still limited partially due to incomplete awareness of physical phenomena related to EC-aerosol dynamics. This short review discusses the basic processes of aerosol transformation (dynamics) upon inhalation, indicating also the need for the accurate determination of the size of droplets in the inhaled EC-mist. The significance of differences in the aerosol particle size distribution for the prediction of regional deposition of inhaled mist in the respiratory system is highlighted as a decisive factor in the interactions of inhaled EC-aerosols with the organism.

show abstract

Measurements of electronic cigarette-generated particles for the evaluation of lung cancer risk of active and passive users

Cited by 40 publications

References 31 publications

Nicotine dependence as a risk factor for upper aerodigestive tract (UADT) cancers: A mediation analysis

Nicotine dependence as a risk factor for upper aerodigestive tract (UADT) cancers: A mediation analysis

Aerosol size distribution measurement of electronic cigarette emissions using combined differential mobility and inertial impaction methods: Smoking machine and puff topography influence

Particle Size Dynamics: Toward a Better Understanding of Electronic Cigarette Aerosol Interactions With the Respiratory System

Contact Info

Product

Resources

About