Literature DB >> 34758171

A novel clinical method to measure skin staining reveals activation of skin damage pathways by cigarette smoke.

Annette Dalrymple1, Michael McEwan1, Marianne Brandt2, Stephan Bielfeldt2, Emma-Jayne Bean1, Alain Moga3, Steven Coburn1, George Hardie1.   

Abstract

BACKGROUND: Long-term use of cigarettes can result in localised staining and aging of smokers' skin. The use of tobacco heating products (THPs) and electronic cigarettes (ECs) has grown on a global scale; however, the long-term effect of these products' aerosols on consumers' skin is unknown. This pilot clinical study aimed to determine whether THP or EC aerosol exposure results in skin staining or activation of biomarkers associated with oxidative stress.
MATERIALS AND METHODS: Eight areas were identified on the backs of 10 subjects. Two areas were used for air control, and two areas exposed to 32-puffs of cigarette smoke (CS), THP or EC aerosols, which were delivered to the skin using a 3-cm diameter exposure chamber and smoke engine. Skin colour was measured using a Chromameter. Squalene (SQ), SQ monohydroperoxide (SQOOH) and malondialdehyde (MDA) levels were measured in sebum samples by mass spectrometry and catalase colorimetry.
RESULTS: CS exposure significantly increased skin staining, SQOOH and MDA levels and SQOOH/SQ ratio. THP and EC values were significantly lower than CS; EC values being comparable to air control. THP values were comparable to EC and air control at all endpoints, apart from skin staining. SQ and catalase levels did not change with exposure.
CONCLUSIONS: CS stained skin and activated pathways known to be associated with skin damage. THPs and ECs produced significantly lower values, suggesting they could offer hygiene and cosmetic benefits for consumers who switch exclusively from smoking cigarettes. Further studies are required to assess longer-term effects of ECs and THPs on skin function.
© 2021 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd.

Entities:  

Keywords:  cigarette smoke; cosmetic; electronic cigarette/e-cigarette; hygiene; skin damage; skin staining; tobacco heating product

Mesh:

Substances:

Year:  2021        PMID: 34758171      PMCID: PMC9299119          DOI: 10.1111/srt.13108

Source DB:  PubMed          Journal:  Skin Res Technol        ISSN: 0909-752X            Impact factor:   2.240


a one‐way analysis of variance (Commission Internationale de L'éclairage) Cooperation Centre for Scientific Research Relative to Tobacco CORESTA recommended method No 81 cigarette smoke electronic cigarette health Canada intense standard deviation tobacco heating product delta

INTRODUCTION

Electronic cigarettes (ECs) and more recently tobacco heating products (THPs) have increased in popularity; however, their availability varies globally due to local regulations. ECs function to heat an e‐liquid, composed from propylene glycol, vegetable glycerol, water, flavours and nicotine, into an inhalable aerosol. THPs are used with tobacco consumables/sticks, and the device heats the tobacco within the consumable to 200−350°C. Heating vaporises nicotine and other volatile compounds within the tobacco consumable, but the temperature limit ensures the tobacco does not burn, as occurs in a lit cigarette that reaches temperatures of 950°C. A lit cigarette also smoulders between puffs, producing side‐stream smoke; THPs and ECs only produce an aerosol when the consumer puffs on the heated tobacco consumable or EC device. The lower temperature profiles of THPs, and the absence of tobacco from the majority of e‐liquids, result in aerosols with significantly lower levels of toxicants compared to cigarette smoke (CS). , , Furthermore, when cells are exposed in vitro to THP or EC aerosols, reduced or no biological responses occur. , , , , , Clinical studies in which subjects switch to THPs or ECs or quit all forms of tobacco have also demonstrated that biomarker levels in switching subjects are comparable to quitters or non‐smokers. , , , , , , Many studies have linked CS to the staining of fingernails and facial hair, and smoking is also thought to cause greying of facial skin. Furthermore, CS can cause localised oxidative stress, and continued exposure can affect skin barrier integrity and connective tissue degeneration, leading to wrinkle formation. , , , , A study has suggested that smoking can age the skin by 30 years, and that facial wrinkles observed in a 40‐year‐old smoker resemble that of a 70‐year‐old non‐smoker. However, the effects of THP and EC use on a consumer's skin and the benefits of smokers switching to THPs and ECs are currently unknown. In this pilot clinical study, 10 healthy non‐smokers without underlying skin or systemic disease were recruited. Eight areas on the scapular area of each subject's back were identified and exposed to 32 puffs of CS, THP or EC aerosols; two untreated areas served as controls. Following exposure, colour was quantified, and the levels of Squalene (SQ), SQ monohydroperoxide (SQOOH), malondialdehyde (MDA) and catalase were measured in skin sebum samples.

MATERIALS AND METHODS

Products

All products used in this study were manufactured by British American Tobacco and are commercially available in a number of European Countries (Table 1). To enable blind testing, the brand was not printed on the cigarettes; however the number N491 was printed for product identification. The glo device and Classic Tobacco Neostik have previously been described in detail. ePen 3, a closed modular rechargeable EC, was used with a blended tobacco e‐liquid cartridge (18 mg/ml nicotine) and has previously been described in detail. All products and devices were stored at room temperature; glo and ePen 3 devices were charged daily before use.
TABLE 1

Products assessed

Product categoryProductBAT product codeSourcePuffs per product/cartridgePuffing regimePuff profile
CigaretteCommercial cigarette blendN491BAT, UK7HCI a Bell
Tobacco heating productGlo and classic tobacco NeostikTHP1.0_LN1_05N0_K003BAT, UK8HCIm Bell
E‐cigaretteVype ePen 3 and blended tobacco e‐liquid 18 mg/ml nicotinePEN3.0BT18BAT, UK32CRM81Square

Abbreviation: CRM81, Cooperation Centre for Scientific Research Relative to Tobacco recommended method no 81 (2015); HCI, health Canada intense smoking regime (Health Canada, 1999); HCIm, health Canada intense smoking regime modified with no vent blocking.

Vents blocked 100% on product.

Products assessed Abbreviation: CRM81, Cooperation Centre for Scientific Research Relative to Tobacco recommended method no 81 (2015); HCI, health Canada intense smoking regime (Health Canada, 1999); HCIm, health Canada intense smoking regime modified with no vent blocking. Vents blocked 100% on product.

Study design

This study was reviewed and approved by the Institutional Review Board of proDERM GmbH. Written informed consent was obtained from all individual subjects prior to their participation in the study and before undergoing any study procedures, including screening assessments. The study was conducted approximating the main principles of the ICH Guideline for Good Clinical Practices at a single centre in Schenefeld, Hamburg. An overview of the clinical assessment is detailed in Figure 1.
FIGURE 1

Overview of product exposure and sample collection

Overview of product exposure and sample collection

Selection of study participants

For screening, 10 subjects came to the study site, were informed about the study and gave written consent. Subjects’ medical history, concomitant therapies and eligibility according to the study inclusion/exclusion criteria (Table S1) were recorded by the study physician. Three months prior to the study date, all subjects were asked to refrain from sun exposure, UV‐therapy and/or artificial tanning in the test area. Three days prior to the assessment day, all subjects were required to refrain from applying any leave‐on cosmetics (e.g., creams, lotions, oily cleansing products) to the test area, and not apply any detergents (e.g., soaps, shampoos, bath and shower products) to the test area on assessment day.

Assignment of test areas

Eight test areas were assigned (two per product or untreated control) on the back of each subject. Areas were assigned in two rows of four test areas, starting on the left upper side of the back (area 1) and finishing towards the lower right side of the back (area 8). Test areas were assigned on the upper part of the back in the lipid‐rich T‐zone. The fields near the spine were used for lipid sample collection (areas 2, 3, 6 and 7), and the fields away from the spine were used for colour measurements (areas 1, 4, 5 and 8). Treatments were assigned to the test areas according to a 4 × 4 orthogonal Latin Square with randomly permuted blocks of fixed size.

Product exposure

Product exposure and instrumental measurements took place in an air‐conditioned room at 21 ± 1°C and 50% ± 5% relative humidity. Before measurements, subjects acclimatized in the room for a minimum of 30 min. Control colour measurements and control lipid samples were collected as detailed below before any product exposure. A 3‐cm diameter exposure chamber was fixed to the subject's back using self‐adhesive electrode pads (proDERM propriety information), as described previously.23,24 The exposure chamber was then attached to a Borgwaldt A14 smoke machine (Borgwaldt‐KC, Hamburg, Germany) and 32 puffs of each product delivered to the chamber. Specific puffing regimes were used (Table 1), and subject's skin exposed to the products in the following order: ePen 3, glo and N491 cigarette (Figure 1). Two skin areas per product were exposed to enable one area be assessed for colour and the other to have lipid biomarker levels assessed. Between each product, the exposure chamber was changed, the smoke machine cleaned, and plastic tubing from the smoke engine to both the chamber and exhaust changed.

Colour measurements

Prior to product exposure (untreated control) and after product exposure, the colour profile of one the designated skin areas was assessed using a Chromameter CR 400 (Minolta, Device D‐Langenhagen, Germany). The Chromameter measurement area was 8 mm in diameter, and four independent measurements were taken per test area. The Chromameter provided L*a*b* values, which were exported to Excel. L* is a measure of lightness, and a* and b* are measures of green‐red and blue‐yellow colour components, respectively. , , Staining levels were calculated using the Commission Internationale de L'éclairage L*a*b* method. ∆L*, ∆a*, ∆b* values were calculated in Excel (L*a*b* values after product exposure minus the untreated control L*a*b* values). ∆E (total difference) was calculated using the following equation:

Lipid sample collection

Five to 10 min after product exposure, a sample was collected for lipid analysis. The untreated control sample was collected prior to any product exposure. Swab sampling was performed on each test area by a trained technician, according to the instructions provided in the kit supplied by Synelvia. The kits contained two sterile cotton swabs and 500 μl of sampling buffer (Synelvia proprietary information; a mixture of surfactant and antioxidant/chelating agents) in an Eppendorf tube. Cotton swabs were wet by soaking in the sampling buffer and applied to the skin surface. Pressure was applied to the swab as it was moved over the whole skin test area for 45 s. The swab was cut with scissors and placed into the Eppendorf tube. This procedure was repeated with the second swab, which was then placed in the same Eppendorf tube. Samples were stored directly on wet ice and stored in a −20°C freezer within 2 h of sampling, before being shipped on dry ice to Synelvia SAS (Toulouse, France) for analysis.

SQ and SQ monohydroperoxide analysis by liquid chromatography‐mass spectrometry

For SQ quantification, lipids were extracted from swabs by liquid/liquid extraction. Briefly, samples were resuspended in 50 μl of dichloromethane (Honeywell) and an Agilent 6890N gas chromatography (GC) unit coupled to an Agilent 5975 Mass Selective Detector mass spectrometer used for analysis. The concentration of SQ in each sample was normalized to the total protein content and the surface area of exposed skin; values were expressed as μg/mg and μg/cm2, respectively. SQOOH was quantified using a double liquid/liquid extraction and UltiMate 3000 (Dionex) liquid chromatography system coupled to a MSQ Plus detector (Fisher Scientific). The concentration of SQOOH in the swabs was normalized to the total protein content and the surface area of exposed skin; values were expressed as ng/mg and ng/cm2, respectively. The ratio of SQ to SQOOH was determined by dividing the SQOOH values by the SQ value. To obtain convenient numbers, the ratio was calculated as ng SQOOH divided by μg SQ.

Malondialdehyde analysis by GC/MS

Samples were treated by acid hydrolysis and O‐(2,3,4,5,6‐pentafluoro‐benzyl) (PFB) hydroxylamine hydrochloride derivation performed, followed by liquid/liquid extraction. MS was performed as described by Curpen et al using a negative ion chemical ionization source. The concentration of MDA in each sample was normalized to the total protein content and to the surface area of exposed skin; values were expressed as ng/mg and ng/cm2, respectively.

Catalase analysis by fluorescence

The concentration of catalase in the sebum samples was calculated using a colorimetric method set up by Synelvia. The technique measures the level of hydrogen peroxide (H202) in samples, which is inversely proportional to the activity of catalase. The concentration of catalase in each sample was normalized to the total protein content and the surface area of exposed skin; values were expressed as UI/mg and UI/cm2, respectively.

Total protein estimation

Total protein content in the swab samples was assessed using two methods based on the Bicinchoninic Acid (BCA) assay and Coomassie blue reagent (Bradford) assay. The kit for BCA was supplied by Euromedex (Souffelweyersheim, Frankreich) and the method recommended by the manufacture used (Bio Basic Inc, Markham, Canada). Samples were assessed at 562 nm using a plate reader (Spark; Tecan Group Ltd., Männedorf, Switzerland). The Coomassie blue reagent kit was supplied by Abcam and the method recommended by the manufacture used. Samples were assessed at 595 nm using a plate reader (Spark).

Statistical data analysis

Descriptive statistics (n, mean, standard deviation) and 95 % confidence limits were calculated. A significance level of 0.05 (alpha) was chosen for statistical analysis. Due to the explorative character of the study, no adjustment for multiplicity was done. For all instrumental parameters, comparisons of treatments were performed on raw data with a paired t test. The computation of statistical data was carried out with commercially available statistics software (SAS Software.9.4 [2019], SAS Institute Inc., Cary, NC, USA).

RESULTS

Seven female (70%) and three male (30 %) subjects, aged 52.8 ± 9.8 years (mean ± standard deviation), completed the study. No adverse events were documented. In the case of skin discolouration, statistically significant differences were observed between CS, glo and ePen 3 exposure (Table 2). L* values (white to black) lowered following CS exposure, signifying a darkening of the skin. CS L* value was also significantly lower than glo (p < 0.001), ePen 3 (p = 0.003) and untreated control (p < 0.001) values. The L* values for glo, ePen 3 and untreated control were comparable. CS a* values (green to red) were significantly higher, signifying a reddening of the skin, when compared glo (p = 0.036) and ePen 3 (p = 0.022) values. CS and untreated control a* values were comparable; ePen 3, glo and untreated control a* values were also comparable. Following CS exposure, b* values (blue to green) were higher, signifying a yellowing of the skin. CS b* values were also significantly higher than glo, ePen 3 and untreated control values (all p < 0.001). Again ePen 3, glo and untreated control b* values were comparable.
TABLE 2

L*, a* and b* values following product exposure. Mean and standard deviation L*, a* and b* values following skin exposure to cigarette smoke, glo or ePen 3 aerosols and untreated control

p‐values of comparison to control and products
MeanSDuntreatedePen 3Glo
L* (white to black) Untreated 69.123.66
ePen 3 69.414.330.480
Glo 69.303.560.7300.823
Cigarette 66.792.57<0.0010.003<0.001
a* (green to red) Untreated 7.431.57
ePen 3 6.921.890.174
Glo 7.321.880.8630.430
Cigarette 8.280.950.1140.0220.036
b* (blue to yellow) Untreated 16.322.41
ePen 3 15.792.920.187
Glo 15.722.720.2310.748
Cigarette 20.721.91<0.001<0.001<0.001
L*, a* and b* values following product exposure. Mean and standard deviation L*, a* and b* values following skin exposure to cigarette smoke, glo or ePen 3 aerosols and untreated control ∆L*, ∆a* and ∆b* values (Table 3, Figure 2) were calculated by subtracting untreated control L*, a* and b* values from CS, glo and ePen 3 post‐product exposure L*, a* and b* values (Table 2). ∆E values, the total colour difference from the untreated control, were calculated using the equation described above. CS ∆L*, ∆a* and ∆b* values were all significantly different than glo and ePen 3 values (see Table 3 for p values). The CS ∆E value was significantly higher than glo (p < 0.001) and ePen 3 (p = 0.002) values; the glo ∆E value was also significantly higher than the ePen 3 (p = 0.049) value.
TABLE 3

∆L*, ∆a*, ∆b* and ∆E values following product exposure. Mean and SD ∆L*, ∆a*, ∆b* and ∆E values following exposure to cigarette smoke, glo or ePen 3 aerosols

p‐values of comparison to
MeanSDePen 3Glo

∆L* (white to black)

ePen 3 0.291.23
Glo 0.181.570.823.
Cigarette −2.331.320.003<0.001

∆a* (green to red to green)

ePen 3 −0.511.09
Glo −0.111.930.43
Cigarette 0.851.540.0220.036

∆b* (blue to yellow)

ePen 3 −0.531.17
Glo −0.601.480.748
Cigarette 4.401.49<0.001<0.001

∆E (total colour difference from control)

ePen 3 1.930.78
Glo 2.611.140.049
Cigarette 5.391.54<0.0010.002
FIGURE 2

∆L*, ∆a*, ∆b* and ∆E values following product exposure. Mean and standard deviation ∆L*, ∆a*, ∆b* and ∆E values following exposure to cigarette smoke, glo or ePen 3 aerosols. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 for ePen 3 and glo aerosol values compared to cigarette smoke values. $ p ≤ 0.05 for ePen 3 aerosol values compared to glo aerosol values

∆L*, ∆a*, ∆b* and ∆E values following product exposure. Mean and SD ∆L*, ∆a*, ∆b* and ∆E values following exposure to cigarette smoke, glo or ePen 3 aerosols ∆L* (white to black) ∆a* (green to red to green) ∆b* (blue to yellow) ∆E (total colour difference from control) ∆L*, ∆a*, ∆b* and ∆E values following product exposure. Mean and standard deviation ∆L*, ∆a*, ∆b* and ∆E values following exposure to cigarette smoke, glo or ePen 3 aerosols. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 for ePen 3 and glo aerosol values compared to cigarette smoke values. $ p ≤ 0.05 for ePen 3 aerosol values compared to glo aerosol values Differences were observed in the levels of some of the skin biomarkers assessed (Table 4 and Figure 3). SQOOH levels increased following CS exposure, and levels were significantly higher than glo (p = 0.005), ePen 3 (p = 0.009) and untreated control (p = 0.001) levels, whereas SQ levels were comparable in all samples. The ratio of SQOOH/SQ (ng/μg) was significantly higher following CS exposure compared to glo, ePen 3 and control (all p < 0.001). CS also significantly increased MDA values compared to glo (p = 0.003), ePen 3 (p < 0.001) and untreated control (p = 0.001). Catalase values were comparable between all treatment groups.
TABLE 4

Skin biomarker levels following product exposure. SQ, SQOOH, SQOOH/SQ ratio, MDA and catalase mean and standard deviation values following exposure to cigarette smoke, glo or ePen 3 aerosols and for untreated controls

p‐values of comparison to products and control
MeanSDUntreatedePen 3Glo
Squalene (SQ) (μg/cm2) Untreated 42.1522.64
ePen 3 43.1031.850.873
Glo 36.9724.290.2680.093
Cigarette 34.9522.540.1920.4410.801

Squalene monohydroperoxide (SQOOH)

(ng/cm2)

Untreated 73.3535.21
ePen 3 74.8954.250.871
Glo 73.8049.340.9570.835
Cigarette 159.4567.260.0010.0090.005

Ratio of SQOOH/SQ

(ng/μg)

Untreated 1.830.34
ePen 3 1.840.460.907
Glo 2.070.650.2240.054
Cigarette 5.191.38<0.001<0.001<0.001

Malondialdehyde (MDA)

(ng/cm2)

Untreated 43.945.39
ePen 3 42.697.160.572
Glo 46.106.460.2660.154
Cigarette 62.8012.02= 0.001<0.0010.003

Catalase

(UI/cm2)

Untreated 13.838.59
ePen 3 14.369.060.617
Glo 12.877.770.3770.061
Cigarette 10.013.630.0670.0670.152
FIGURE 3

Skin biomarker levels following product exposure. SQ, SQOOH, SQOOH/SQ ratio, MDA and catalase mean and standard deviation values following exposure to cigarette smoke, glo or ePen 3 aerosols and for untreated controls. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 for ePen 3 and glo aerosol values compared to cigarette smoke values

Skin biomarker levels following product exposure. SQ, SQOOH, SQOOH/SQ ratio, MDA and catalase mean and standard deviation values following exposure to cigarette smoke, glo or ePen 3 aerosols and for untreated controls Squalene monohydroperoxide (SQOOH) (ng/cm Ratio of SQOOH/SQ (ng/μg) Malondialdehyde (MDA) (ng/cm Catalase (UI/cm Skin biomarker levels following product exposure. SQ, SQOOH, SQOOH/SQ ratio, MDA and catalase mean and standard deviation values following exposure to cigarette smoke, glo or ePen 3 aerosols and for untreated controls. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 for ePen 3 and glo aerosol values compared to cigarette smoke values

DISCUSSION

ECs have been commercially available at a global scale for nearly 20 years. THPs were originally launched in Japan 5−6 years ago and are currently available in 54 countries. Scientific data from peer reviewed publications, including laboratory , , , , , and clinical assessments, , , , , have confirmed reduced responses in cells and reduced levels of biomarkers in consumers when THPs and ECs have been compared to CS. Following an independent review of these studies, a number of regulatory bodies have stated that THPs and ECs hold great potential for reducing the risk associated with cigarette smoking. , , , , In this study, we assessed the effect of CS, THP and EC aerosols by analysing skin colour and the activation of a number skin biomarkers. CS exposure resulted in a significant reddening and yellowing of skin. THP exposure resulted in some colour change compared to EC exposure. However, the values were significantly lower than CS, and in the blue and green colour space rather than the red and yellow space observed with CS. ECs did not result in a measurable colour change, and responses were comparable to untreated controls. The colour change induced by THPs could be due to the tobacco contained in the tobacco rod; heating could release particles that diffuse and sediment onto the skin. When wallpaper was exposed and then aged for 28 days, THP aerosols induced a higher level of staining than ECs. Glycerol could account for THPs and ECs ∆a* and ∆b* colour values being negative compared to the positive values after CS exposure, which suggesting that THP and EC aerosols could induce different responses in skin than CS. CS has been associated with the yellowing of fingernails and facial hair as well as greying of facial skin. Exposure of skin to CS can cause localised oxidative stress, resulting in the oxidation of lipids, proteins and DNA. Continued CS exposure can affect barrier integrity of the skin and cause connective tissue degeneration, leading to wrinkle formation. , , , , Twin studies, involving one smoker and one non‐smoker, have highlighted CS‐induced changes to the skin. , The degree of skin damage/aging is also thought to correlate with the number of cigarettes smoked per day and years of smoking. This study assessed the activation of sebum SQ, SQOOH, MDA and catalase biomarkers. These biomarkers function in skin homeostasis, are part of skin oxidative stress/damage pathways and are known to be modified by CS. SQ is a component of human sebum and is converted to SQOOH upon exposure to reactive oxygen. MDA is a subsequent metabolite and is formed following lipid peroxidation. A correlation between years of smoking and the levels of serum MDA has been suggested. In this study, the sebum lipid peroxidation product SQOOH increased after CS exposure, indicating a higher level of oxidation of skin surface sebum lipids and resulting in a higher SQOOH/SQ ratio. The barrier lipid peroxidation product MDA also increased following CS exposure, indicating a higher level of oxidative stress in the skin and oxidation of lipids of the stratum corneum. Although no significant differences were found, CS was observed to decrease the level of the anti‐oxidative enzyme catalase compared to the other treatments. SQ levels were comparable between all treatments. THP or EC exposure had no effect on the levels of the biomarkers assessed; levels were comparable to untreated controls. Variability was high for SQ and catalase levels, which could be due to low subject numbers. The colorimetric catalase method may also have caused variability. The analytical methods used in this study are aligned to a recent publication that assessed changes in the level of SQ, SQOOH and MDA following exposure of skin to ozone and dust. Differences in skin colour and biomarker levels following THP and EC exposure are probably due to the difference between CS and aerosols from THPs and ECs. As the tobacco in a cigarette burns, over 7000 chemicals, including a number of known toxicants, are produced. CS also contains reactive oxygen species and free radicals that can interact directly with the skin, resulting in oxidative stress and secondary oxidative events such as lipid peroxidation. In contrast, THPs and ECs produce chemically less complex aerosols with significantly reduced levels of toxicants and particles. , , , , , Similar to the reduced responses in subjects following the clinical assessment of THP and EC products, , , , , we observed significantly reduced responses in skin following THP and EC exposure, compared to CS. The methods used in this study are an amalgamation of a laboratory method developed for assessing enamel sample staining , and a clinical method developed to assess topical cosmetics, in which CS smoke is used as a surrogate for environmental pollution. , The main advantage of this clinical method is the small number of subjects required. Moreover, the developed method is not restricted to assessing tobacco and nicotine products; it could easily be adapted for the assessment of other aerosols or environmental pollutants and also used for cosmetic assessment. Standard methods of exposure, as used in this study, would enable data to be compared between laboratories and between cosmetic products. The small volume of the experimental chamber enabled accelerated skin responses to be assessed. Specific puffing regimes were used for exposure, , which delivered 55 ml of each aerosol to a 3‐cm diameter isolated area of skin every 30 s. The total exposure time was 16 min, puff number was 32 and a total of 1760 ml of concentrated aerosol was delivered; a significantly higher concentration of aerosol than a consumer would be exposed to in a standard room per day. Data generated from this exposure chamber could potentially be extrapolated to a larger space/room to understand the long‐term impact of THP and EC aerosols on the skin. A recent consumer study which aimed to understand Japanese consumers’ motivation for switching to a THP highlighted reduced harm to the consumer, hygiene and social considerations. Other studies have also highlighted potential hygiene benefits of THPs and ECs: reduced staining of tooth enamel and household materials. Compared to a cigarette, THP use also results in reduced hand, clothes and hair odour as well as reduced toxicants in a room. The data from the current study add to the weight of evidence that THPs and ECs have cosmetic and hygiene benefits for consumers compared to smoking: the data suggest that EC and THP aerosols have less impact on consumers’ skin than CS. If THPs or ECs are used indoors, there could also be a benefit to bystanders’ skin compared to CS. A limitation of this study is that the experimental method delivered mainstream CS, but neither side‐stream smoke that is emitted from a smouldering cigarette between puffs nor exhaled smoke. THPs and ECs do not burn tobacco or produce side stream aerosols because aerosols are only released after puffing on the THP consumable/stick or EC device mouthpiece by the consumer. Our method may therefore result in overrepresentation of THP and EC responses and under‐representation of CS responses. Significant differences were nevertheless observed between the products being assessed.

CONCLUSIONS

CS exposure results in a higher level of skin discolouration, oxidation of sebum lipids and oxidation of skin barrier lipids. In contrast, THP and CS exposure results in responses comparable to untreated controls. The data generated in this pilot clinical assessment suggest that THPs and ECs may have both hygiene and cosmetic benefits for consumers who switch from cigarettes to exclusive use of THPs or ECs. Further studies are required to assess the long‐term impact of consumers’ skin following the exclusive use of a THP or EC.

CONFLICT OF INTEREST

This study was funded by British American Tobacco (BAT) R&D, Southampton. Experimental work was performed at proDERM GmbH and Synelvia SAS. All authors are employees of BAT, proDERM or Synelvia. Supporting information Click here for additional data file.
  38 in total

1.  Assessment of novel tobacco heating product THP1.0. Part 7: Comparative in vitro toxicological evaluation.

Authors:  David Thorne; Damien Breheny; Christopher Proctor; Marianna Gaca
Journal:  Regul Toxicol Pharmacol       Date:  2017-10-25       Impact factor: 3.271

2.  Effect of cigarette smoke and whiskey on the color stability of dental composites.

Authors:  Mariana de Souza Araújo Wasilewski; Marcos Kenzo Takahashi; Giovanna Andraus Kirsten; Evelise Machado de Souza
Journal:  Am J Dent       Date:  2010-02       Impact factor: 1.522

3.  Gaseous composition of cigarette smoke: effect on human health and air pollution.

Authors:  V I Pandit; K M Phadke
Journal:  Indian J Public Health       Date:  1973 Jan-Mar

4.  Assessment of tobacco heating product THP1.0. Part 4: Characterisation of indoor air quality and odour.

Authors:  Mark Forster; John McAughey; Krishna Prasad; Eleni Mavropoulou; Christopher Proctor
Journal:  Regul Toxicol Pharmacol       Date:  2017-10-01       Impact factor: 3.271

5.  Evaluation of the tobacco heating system 2.2. Part 9: Application of systems pharmacology to identify exposure response markers in peripheral blood of smokers switching to THS2.2.

Authors:  Florian Martin; Marja Talikka; Nikolai V Ivanov; Christelle Haziza; Julia Hoeng; Manuel C Peitsch
Journal:  Regul Toxicol Pharmacol       Date:  2016-11-11       Impact factor: 3.271

Review 6.  Malondialdehyde as biomarker of oxidative damage to lipids caused by smoking.

Authors:  Jens Lykkesfeldt
Journal:  Clin Chim Acta       Date:  2007-02-07       Impact factor: 3.786

7.  Evaluation of the Tobacco Heating System 2.2. Part 2: Chemical composition, genotoxicity, cytotoxicity, and physical properties of the aerosol.

Authors:  Jean-Pierre Schaller; Daniela Keller; Laurent Poget; Pascal Pratte; Etienne Kaelin; Damian McHugh; Gianluca Cudazzo; Daniel Smart; Anthony R Tricker; Lydia Gautier; Michel Yerly; Roger Reis Pires; Soazig Le Bouhellec; David Ghosh; Iris Hofer; Eva Garcia; Patrick Vanscheeuwijck; Serge Maeder
Journal:  Regul Toxicol Pharmacol       Date:  2016-10-06       Impact factor: 3.271

8.  Extreme testing of undiluted e-cigarette aerosol in vitro using an Ames air-agar-interface technique.

Authors:  D Thorne; M Hollings; A Seymour; J Adamson; A Dalrymple; M Ballantyne; M Gaca
Journal:  Mutat Res Genet Toxicol Environ Mutagen       Date:  2018-02-19       Impact factor: 2.873

9.  Assessment of enamel discoloration in vitro following exposure to cigarette smoke and emissions from novel vapor and tobacco heating products.

Authors:  Annette Dalrymple; Thomas C Badrock; Anya Terry; Mark Barber; Peter J Hall; David Thorne; Marianna D Gaca; Steven Coburn; Christopher Proctor
Journal:  Am J Dent       Date:  2018-10       Impact factor: 1.522

View more
  1 in total

1.  A novel clinical method to measure skin staining reveals activation of skin damage pathways by cigarette smoke.

Authors:  Annette Dalrymple; Michael McEwan; Marianne Brandt; Stephan Bielfeldt; Emma-Jayne Bean; Alain Moga; Steven Coburn; George Hardie
Journal:  Skin Res Technol       Date:  2021-11-10       Impact factor: 2.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.