There has been increased interest in recent years in regulatory reporting of cigarette smoke toxicants. There is a great deal of diversity in current regulatory standards around the world in terms of the identities of regulated toxicants, and the number of replicate analyses stipulated for their measurement. Furthermore, analytical methods developed collaboratively by several organisations and intended for regulatory analysis generally differ in their recommended replicate numbers to those stipulated by regulators. In view of these inconsistencies, we undertook an exercise to examine the most appropriate numbers of replicates required for regulatory analysis of cigarette smoke toxicants. A one-point-in-time sampling exercise was undertaken of the German cigarette market, with 161 brands sampled and analysed in a single laboratory using Canadian Intense smoking conditions. Seven replicate measurements were made for each analyte and product, other than nicotine, CO and nicotine-free dry particulate matter for which eight replicate measurements were made. After confirming the absence of order of analysis effects, a variety of statistical tests (such as group assessment, paired comparisons, linear regression models and ratio analysis) were conducted examining mean values, SDs and CVs to identify the role of numbers of analytical replicates on data quality. The statistical analysis showed no difference in mean values for any of the 18 toxicants irrespective of replicate numbers (between 3 and 7 or 8). The large majority of analytes showed no difference in data variability with replicate number; but some very small differences (much lower than within product variability) were observed for a minority of compounds. Similarly, paired analysis showed no significant differences between mean values obtained using different replicate numbers in most cases, apart from very low differences (<5%) for a small number. Linear regression analysis showed correlations around 96 to 98% (other than crotonaldehyde at 91%) between values obtained with 3 vs 7 replicates. Similarly, per product mean value ratio analysis showed 95% consistency between values obtained with 3 and 7 replicates. We therefore conclude that three replicates is sufficient for precise determination of cigarette mainstream smoke toxicant emissions, and that use of 7 replicates as stipulated in some regulator jurisdictions does not offer any greater accuracy or precision.

There is increasing diversity of nicotine inhalation products worldwide. Next Generation Products (NGP) such as e-cigarettes, have gained mass popularity, and there is increasing use of electrical and carbon-based Tobacco-Heating Products (e-THP and c-THP respectively). Recently, emission levels from these products have been compared to conventional cigarettes (CC); however, few formal laboratory testing standards exist, and inconsistent puffing parameters have been used. We investigated the impact of how a number of NGPs, including two e-cigarettes, a carbon-heated THP, and both pulse- and continuously-heated e-THPs, are puffed on the magnitude of their emissions, examining the influence of puff profile, volume, frequency and duration, in comparison to standard CCs. Our findings demonstrated that for each NGP choice of puffing parameters has a substantial impact on the magnitude of aerosol and smoke emissions, and that significant differences exist between different types of NGP. With e-cigarettes and pulse-heated e-THPs puff duration is the most important puffing parameter influencing yields. In contrast, for CCs, c-THPs and continuously-heated e-THPs, puff volume and puff frequency were the critical parameters. For e-cigarettes, there was no significant difference in emissions between rectangular and bell-shaped profiles. Our study has also shown that these different behaviours are a result of how heat-management within different NGPs, from heat-source to the nicotine- and aerosol-releasing substrates, is a vital mechanistic factor impacting aerosol generation. These findings point the need for detailed real-world e-cigarette and THP puffing topography data in order to identify the most appropriate puffing parameters for laboratory testing; our findings will help focus these studies on the most important parameters and can thereby support the future development of robust standardised NGP testing regimes.

The concept of a risk continuum for tobacco and nicotine products has been proposed, which differentiates products according to their propensity to reduce toxicant exposure and risk. Cigarettes are deemed the most risky and medicinal nicotine the least. We assessed whether a Reduced-Toxicant Prototype (RTP) cigarette could sufficiently reduce exposure to toxicants versus conventional cigarettes to be considered a distinct category in the risk continuum. We present findings from both pre-clinical and clinical studies in order to examine the potential for reduced smoke toxicant emissions to lower health risks associated with cigarette smoking. We conclude that current toxicant reducing technologies are unable to reduce toxicant emissions sufficiently to manifest beneficial disease-relevant changes in smokers. These findings point to a minimum toxicant exposure standard that future potentially reduced risk products would need to meet to be considered for full biological assessment. The RTP met WHO TobReg proposed limits on cigarette toxicant emissions, however the absence of beneficial disease relevant changes in smokers after six months reduced toxicant cigarette use, does not provide evidence that these regulatory proposals will positively impact risks of smoking related diseases. Greater toxicant reductions, such as those that can be achieved in next generation products e.g. tobacco heating products and electronic cigarettes are likely to be necessary to clearly reduce risks compared with conventional cigarettes.

E-cigarettes are battery-powered electronic devices from which users can inhale nicotine following its aero-solisation from a liquid solution. Some regulators and public health bodies consider e-cigarettes as potentially playing a major role in tobacco harm reduction. Their ability to provide nicotine to smokers in both amount and in a manner and form generally similar to cigarette smoking have been proposed as key components to help smokers reduce or cease the use of combustible cigarettes. Nicotine pharmacokinetic studies of e-cigarettes have been performed for a number of years and are beginning to show how nicotine delivery is evolving as the products themselves evolve. In this review, we provide a critical overview of the literature to describe what is known about nicotine delivery from e-cigarettes. We will discuss how the progression of e-cigarette design, development, and user familiarity has allowed increases in nicotine availability to the user, in the context of how much and how rapidly nicotine is delivered during acute-use periods. This review will also provide insight into current research gaps and highlight the potential utility of modelling and the standardisation of methodologies used to assess nicotine delivery to facilitate identification of products that are best suited to displace cigarette smoking among adult smokers.

Background: Smoking is a leading cause of numerous human disorders including lung cancer, chronic obstructive pulmonary disease, and atherosclerotic cardiovascular disease. Nicotine is primarily responsible for the addictive properties of cigarette smoking whereas other chemical constituents of the cigarette smoke are considered responsible for disease development. Electronic cigarettes (e-cigarettes) deliver a vapour containing nicotine and which is considered to contain significantly less chemical toxicants compared to cigarette smoke. This study will investigate nicotine delivery from a novel e-cigarette device and compare it to that from both a commercially-available e-cigarette and a combustible cigarette. Methods: This study will examine nicotine pharmacokinetics in subjects while either smoking a cigarette or using one of 5 different e-cigarettes for up to 5 minutes ad libitum. The study is a single-centre, randomised controlled clinical study with a crossover design. Subjects of either gender will be aged 22–55 years (minimum legal smoking age in CA plus 1 year) and a verified smoking status (assessed by exhaled breath CO and urinary cotinine levels). Subjects will be judged to be healthy by medical history, physical examination, vital signs, ECG and clinical biochemistry tests. The primary objectives are to characterize the kinetics of nicotine absorption into the blood of subjects using different e-cigarettes or smoking a cigarette; and to compare nicotine delivery from different e-cigarettes with one another and with that from a conventional cigarette. Conclusions: Data from this study will advance our scientific understanding of the pharmacokinetics of nicotine in smokers who use different types of e-cigarettes.

The WHO Tobacco Product Regulation Study Group (TobReg) has proposed three regulatory models for cigarettes, each creating mandatory limits for emissions of nine smoke toxicants. One approach proposes country-specific limits, using median or 1.25x median toxicant/nicotine emission ratios. A second model provides fixed toxicant-ratio limits. The third model limits were three times the lowest toxicant emission on a market. Currently, the practical implications of these models are largely unknown.An impact assessment was conducted using cigarette data from 79 countries to identify four diverse test markets. We sampled all products from each market but limited product availability led to incomplete (80-97%) sourcing. Analysis showed that the country-specific model led to diverse (up to threefold) toxicant limits across the four markets. 70%-80% of products were non-compliant, rising to 100% in some countries with the second and the third models. With each regulatory model the main drivers of noncompliance were the tobacco-specific nitrosamines, the simultaneous application of limits for nine poorly correlated smoke toxicants, and analytical variability. Use of nicotine ratios led to compliance of some high toxicant emission products due to high nicotine emissions.Our findings suggest that these proposals would have greater impact on global markets than TobReg's stated aims. (C) 2017 The Authors. Published by Elsevier Inc.

Smoking is a leading cause of numerous human disorders including lung cancer, chronic obstructive pulmonary disease, and atherosclerotic cardiovascular disease. The development of modified risk tobacco products (MRTPs) has been suggested as a possible way to reduce the risks of tobacco smoking by reducing exposure to cigarette smoke toxicants. This study is designed to investigate whether biomarkers of such exposure are reduced when smokers switch from smoking commercial cigarettes to using either a novel or a commercially-available tobacco heating product (THP).

Objectives: E-cigarettes could potentially play a major role in tobacco harm reduction by delivering nicotine in a vapor containing significantly fewer toxicants than cigarette smoke and may aid smoking behavior changes such as reduction or cessation. Methods: We examined blood nicotine levels in smokers who were non-accustomed to e-cigarette use (Study 1) and accustomed e-cigarette users (Study 2). We compared nicotine levels when participants used a closed modular system e-cigarette to those when participants smoked a cigarette. Results: In Study 1, C-max (geometric mean (CV)) during a 5-minute puffing period (10 puffs, 30 seconds apart) was 13.4 (51.4%) ng/ml for a regular cigarette. The e-cigarette C-max was significantly lower (p <.05) at 2.5 (67.8%) ng/ml. In Study 2, during a 5-minute ad libitum puffing period, cigarette C-max was 7.2 (130.8%) ng/mL, and it was 7.8 (108.2%) ng/mL for the e-cigarette. Conclusions: Our data demonstrate heterogeneity of nicotine deliveries both between products and also with the same products used by different cohorts, eg, accustomed users versus smokers. Such differences must be taken into account when determining the likely behavioral impact, on smoking reduction and cessation, of nicotine delivery data and when planning e-cigarette nicotine pharmacokinetic studies.

Cigarettes with reduced circumference are increasingly popular in some countries, hence it is important to understand the effects of circumference reduction on their burning behaviour, smoke chemistry and bioactivity. Reducing circumference reduces tobacco mass burn rate, puff count and static burn time, and increases draw resistance and rod length burned during puff and smoulder periods. Smoulder temperature increases with decreasing circumference, but with no discernible effect on cigarette ignition propensity during a standard test. At constant packing density, mainstream (MS) and sidestream (SS) tar and nicotine yields decrease approximately linearly with decreasing circumference, as do the majority of smoke toxicants. However, volatile aldehydes, particularly formaldehyde, show a distinctly non-linear relationship with circumference and increases in the ratios of aldehydes to tar and nicotine have been observed as the circumference decreases. Mutagenic, cytotoxic and tumorigenic specific activities of smoke condensates (i.e. per unit weight of condensate) decrease as circumference decreases. Recent studies suggest that there is no statistical difference in mouth-level exposure to tar and nicotine among smokers of cigarettes with different circumferences. Commercially available slim cigarettes usually have changes in other cigarette design features compared with cigarettes with standard circumference, so it is difficult to isolate the effect of circumference on the properties of commercial products. However, available data shows that changes in cigarette circumference offer no discernible change to the harm associated with smoking.

There is a drive toward the mandated lowering and reporting of selected toxicants in tobacco smoke. Several studies have quantified the mainstream cigarette emissions of toxicants, providing benchmark levels. Few, however, have examined how measured toxicant levels within a single product vary over time due to natural variation in the tobacco, manufacturing and measurement. In a single centre analysis, key toxicants were measured in the tobacco blend and smoke of 3R4F reference cigarette and three commercial products, each sampled monthly for 10 months. For most analytes, monthly variation was low (coefficient of variation <15%); but higher (⩾ 20%) for some compounds present at low (ppb) levels. Reporting toxicant emissions as a ratio to nicotine increased the monthly variation of the 9 analytes proposed for mandated lowering, by 1-2 percentage points. Variation in toxicant levels was generally 1.5-1.7-fold higher in commercial cigarettes compared with 3R4F over the 10-month period, but increased up to 3.5-fold for analytes measured at ppb level. The potential error (2CV) associated with single-point-in-time sampling averaged ∼ 20%. Together, these data demonstrate that measurement of emissions from commercial cigarettes is associated with considerable variation for low-level toxicants. This variation would increase if the analyses were conducted in more than one laboratory.

Approximately 100 toxicants have been identified in cigarette smoke, to which exposure has been linked to a range of serious diseases in smokers. Smoking machines have been used to quantify toxicant emissions from cigarettes for regulatory reporting. The World Health Organization Study Group on Tobacco Product Regulation has proposed a regulatory scenario to identify median values for toxicants found in commercially available products, which could be used to set mandated limits on smoke emissions. We present an alternative approach, which used quantile regression to estimate reference percentiles to help contextualise the toxicant yields of commercially available products with respect to a reference analyte, such as tar or nicotine. To illustrate this approach we examined four toxicants (acetone, N'-nitrosoanatabine, phenol and pyridine) with respect to tar, and explored International Organization for Standardization (ISO) and Health Canada Intense (HCI) regimes. We compared this approach with other methods for assessing toxicants in cigarette smoke, such as ratios to nicotine or tar, and linear regression. We concluded that the quantile regression approach effectively represented data distributions across toxicants for both ISO and HCI regimes. This method provides robust, transparent and intuitive percentile estimates in relation to any desired reference value within the data space. (C) 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

BACKGROUND:Development of cigarettes that reduce exposure to harmful smoke constituents is a suggested tobacco harm reduction strategy, but robust methods for measurement of change are required. We investigated whether changes in biomarkers of exposure (BoE), effective dose (BoED) and biological effect (BoBE) could be detected after switching from conventional cigarettes to a reduced-toxicant-prototype cigarette (RTP). METHODS:Regular smokers of 6-8mg ISO tar yield cigarettes were recruited in Hamburg, Germany, and supplied with a conventional 7mg ISO tar yield cigarette for 2weeks then switched to the same cigarette with a different tipping paper (control) or the RTP for 6months. Subjects smoked mostly at home and attended five residential clinic visits where urine and blood samples were collected for analysis. Primary endpoints were changes in specific biomarker levels compared with non-smoker background levels. Changes in daily cigarette consumption were also investigated. RESULTS:BoE levels in controls generally increased over the study period, whereas most BoE and all BoED significantly declined in RTP smokers. Most BoBE data were similar across groups and/or too variable within individuals to detect changes. Increased daily cigarette consumption was affected by supply of free cigarettes, perceived shorter smoking time per cigarette than usual brands, and perceived reduced harm. CONCLUSIONS:Despite increased cigarette consumption, reductions in BoE and BoED were detectable.

. Variability in biomarker of exposure levels in smokers in a study of smokers switched to reduced toxicant prototype cigarettes. Christopher J. Shepperd1, Alison Eldridge1, Graham Errington1, Oscar M Camacho1, Kevin McAdam1, Ingo Meyer2 and Christopher J. Proctor1* 1British American Tobacco, Group Research & Development, Regents Park Road, Southampton, SO15 8TL, United Kingdom 2Momentum Pharma Services, Hamburg, Germany *Correspondence: christopher_proctor@bat.com

Despite universal acceptance that smoking is harmful, a substantial number of adults continue to smoke. The development of potential reduced exposure products (more recently termed modified risk tobacco products) has been suggested as a way to reduce the risks of tobacco smoking. This trial is designed to investigate whether changes in toxicant exposure after switching from a commercial to reduced toxicant prototype (RTP) cigarette (7 mg International Organisation for Standardisation (ISO) tar yield) can be assessed by measurement of biomarkers and other factors. The primary objective is to descriptively assess changes in selected biomarkers of exposure (BoE) and biomarkers of biological effect (BoBE) within participants and within and between groups after switching. Secondary objectives are to assess similarly changes in other biomarkers, quality of life, smoking behaviours, physiological measures, mouth-level exposure to toxicants and sensory perception.

UNLABELLED:Reduced toxicant prototype (RTP) cigarettes with substantially reduced levels of tobacco smoke toxicants have been developed. Evaluation of these prototype cigarettes included measurement of biomarkers of exposure (BoE) to toxicants in smokers switched from conventional cigarettes to the RTPs. A 6-week single-blinded randomised controlled study with occasional clinical confinement was conducted (TRIAL REGISTRATION:ISRCTN7215735). All smoking subjects smoked a conventional cigarette for 2-weeks. Control groups continued to smoke the conventional cigarette while test groups switched to one of three RTP designs. Clinical confinement and additional assessments were performed for all smoking groups after 2 and 4-weeks. A non-smoker group provided background levels of BoE. On average, smokers switched to RTPs with reduced machine yields of toxicants had reduced levels of corresponding BoEs. For vapour phase toxicants such as acrolein and 1,3-butadiene reductions of ⩾70% were observed both in smoke chemistry and BoEs. Reductions in particulate phase toxicants such as tobacco-specific nitrosamines, aromatic amines and polyaromatic hydrocarbons depended upon the technologies used, but were in some cases ⩾80% although some increases in other particulate phase toxicants were observed. However, reductions in BoEs demonstrate that it is possible to produce prototype cigarettes that reduce exposure to toxicants in short-term use.

Background: In a previous clinical study, levels of biomarkers of exposure (BoEs) for specific toxicants were significantly reduced in smokers who switched from conventional cigarettes to reduced toxicant prototype (RTP) cigarettes. Very little is known about the biological variability of tobacco smoke BoEs within individuals and sub-groups, and the descriptive group-comparison statistics might not be sufficient to understand such changes. Therefore, we assessed how different statistical methods could be used to interpret changes in urine BoE levels at the individual level.Methods: We used non-parametric statistical reference limits, the empirical rule and reference change values (RCVs) to assess changes in levels of BoEs related to four toxicants in cigarettes smoke. Current smokers [of 6 mg and 1 mg International Organization for Standardization (ISO) tar yields] were allocated to switching to RTP groups or non-switching control groups within their respective tar bands. There were two 6 mg tar study groups, with a non-switching group (CC6, n = 46) and a group switching to an RTP containing tobacco-substitute sheet and modified filter (TSS6, n = 49); and three 1 mg tar smoker groups, with one non-switching (CC1, n = 42), a group switching to an RTP containing tobacco-substitute sheet and modified filter (TSS1, n = 44) and one switching to an RTP containing an enzyme-treated tobacco and modified filter (BT1, n = 47).Results: Assessment of the direction of change showed that up to the 100% of subjects experienced a decrease in levels of some BoEs. Between 49% and 64% of subjects in the switching groups were classified as having decreased levels of 3-hydroxy-1-methylpropylmercapturic acid (HMPMA) by the non-parametric criterion, whereas only 2%-6% had reduced levels of N-nitrosoanatabine (NAT). Of non-switchers, in 7%-14% of those smoking 1 mg ISO tar yield cigarettes increases were classified across all BoEs. RCVs highlighted patterns with more detail, showing that most changes occurred within 14 days of switching. Among smokers who switched to 6 mg RTPs, 40%, 44%, 6% and 15%, respectively, were classified as experiencing significant decreasing levels of HPMA, 3-hydroxypropylmercapturic acid, 4-(methylnitrosamino)1-( 3-pyridyl)-1-butanol and NAT, whereas in the two 1 mg switching groups 46%, 22%, 11% and 52% and 43%, 27%, 2% and 16% had decreased levels of the same biomarkers. Up to five subjects in the 6 mg non-switching group were classified as having increased levels of all BoEs.Conclusions: Although we believe that is not possible to determine whether the observed changes in BoEs reflect biological relevance, the use of reference values enables assessment of changes in BoEs at the individual level. Estimates of the BoE variability between subjects might aid study design and setting minimum targets for smoke toxicant yields for future development of RTPs.

A forced switch to a lower ISO tar yield cigarette was used in a clinical study, conducted in Germany, that compared two methods of estimating exposure to cigarette smoke. Pre- and post-switch estimates of Mouth Level Exposure (MLE) to nicotine, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), pyrene and acrolein were obtained by chemical analysis of spent cigarette filters for nicotine content. Similarly, pre- and post-switch estimates of uptake of these smoke constituents were achieved by analysis of corresponding urinary biomarkers of exposure (BoE): total nicotine equivalents; total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL); total 1-hydroxypyrene (1-OHP), and 3-hydroxypropyl-mercapturic acid (3-HPMA), plus the nicotine metabolite cotinine, in plasma and saliva. Three hundred healthy volunteers were recruited comprising 100 smokers of each of 9-10 and 4-6 mg ISO tar yield cigarettes and 50 smokers of 1-2mg ISO tar yield cigarettes and 50 non-smokers. Fifty smokers of each of the 9-10 and 4-6 mg ISO tar yield cigarettes took part in the switching aspects of this study whilst the remaining smokers formed non-switching control groups who smoked their usual ISO tar yield cigarette throughout the study. After 5 days, all subjects were admitted into a clinic where baseline measures of MLE and BoE were obtained. The 10mg switching group was then switched to the 4 mg ISO tar yield cigarette and the 4 mg ISO tar yield switching group switched to the 1mg cigarette. Subjects returned home for 12 days, continuing to smoke the supplied cigarettes before being readmitted into the clinic where samples were collected for MLE and BoE analysis. Changes in daily exposure estimates were determined on a group and individual basis for both methods. The pre- to post-switch directional changes in MLEs and their corresponding BoEs were generally consistent and the MLE/BoE relationship maintained. Switching to a lower yield cigarette generally resulted in reductions in exposure with the resultant exposure level being similar to that seen in regular smokers of the lower yield cigarette.

A clinical study conducted in Canada compared two methods of estimating exposure to cigarette smoke in 192 volunteer subjects: 43 smokers of 4–6 mg, 49 of 8–12 mg and 50 of 14–15 mg ISO tar yield cigarettes and 50 non-smokers. Estimates of mouth level exposure (MLE) to nicotine, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), pyrene and acrolein were obtained by chemical analysis of spent cigarette filters. Estimates of smoke constituent uptake were achieved by analysis of urinary biomarkers for total nicotine equivalents (nicotine, cotinine, trans–3′-hydroxycotinine plus their glucuronide conjugates), NNK (total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) plus glucuronide), pyrene (1-hydroxy pyrene plus glucuronide) and acrolein (3-hydroxylpropyl-mercapturic acid) plus the nicotine metabolite cotinine in plasma and saliva. The objective of our study was to confirm the correlations between measures of human exposure obtained by filter analysis and biomarkers. Significant correlations (p < 0.001) were found between MLE and the relevant biomarker for each smoke constituent. The adjusted values of the Pearson correlation coefficients (r) were 0.80 (nicotine), 0.77 (acrolein) and 0.44 (pyrene). NNK correlations could not be obtained because of the low NNK yield of Canadian cigarettes. Unexpectedly high levels of acrolein biomarker found in non-smokers urine on one of the two days sampled emphasised the need for more than one sampling occasion per period and an awareness of non-tobacco sources of smoke constituents under investigation. No consistent dose response, in line with ISO tar yield smoked, of MLE estimates was found for nicotine, pyrene and acrolein and respective biomarkers. The influence of demographics on our results has also been examined.