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An assessment of the likelihood of use and abuse potential for new tobacco products is an important part of tobacco product regulation in the United States and abroad. This paper reports the results of a randomized, open-label, crossover clinical study that assessed factors related to product adoption and abuse liability (AL), comparing two closed electronic nicotine delivery system (ENDS) products to combustible cigarettes and nicotine gum, high- and low-AL comparator products, respectively. During an 11-day confinement period that included multiple product familiarization sessions, healthy adult smokers participated in AL test sessions to evaluate the abuse liability of each product. During these test sessions, changes in subjective measures; speed and amount of nicotine uptake; and maximum changes in physiological effects before, during, and after use of each assigned product were assessed over 4 h. Positive subjective effects measures scores such as product-liking and overall intent to use again were highest for cigarettes, followed by the Vuse ENDS, with nicotine gum consistently having the lowest scores. The PK results (Cmax and Tmax) of the Vuse ENDS products are between UB cigarettes and nicotine gum, which correlates with the subjective effects. All nicotine uptake measures for the Vuse ENDS products were lower than that of usual brand (UB) cigarettes, including peak nicotine uptake and overall nicotine uptake, and were either similar to or lower than nicotine gum. The time course of nicotine uptake after use of the ENDS was more similar to that of combustible cigarettes than nicotine gum. The results indicate that the AL of each ENDS product is lower than that of UB cigarettes and similar to that of nicotine gum.

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Electronic nicotine delivery systems (ENDS) have the potential to provide nicotine to tobacco consumers while reducing exposure to combustion-related toxicants. Here, we report changes in biomarkers of exposure (BoE) and biomarkers of potential harm (BoPH) in smokers who completely switched to Vuse Vibe and Vuse Ciro ENDS products, or to smoking abstinence in a randomized, controlled clinical study. Thirteen BoE (12 urinary and one blood) that indicate exposure to harmful and potentially harmful toxicants (HPHCs) were evaluated at baseline on day 5. Urinary BoPH linked to oxidative stress, platelet activation, and inflammation were also assessed at baseline, and on day 5 and day 7. Nicotine exposure was lower in Vuse Vibe and Vuse Ciro groups compared to baseline values. Urinary non-nicotine BoE decreased significantly (52.3-96.7%) in the Vuse ENDS groups, and the reductions were similar in magnitude to those observed in the abstinence group. Blood carboxyhemoglobin decreased 52.8-55.0% in all study groups. Decreases (10-50%) in BoPH were observed in all study groups. Thus, smokers who switch exclusively to Vuse Vibe or Vuse Ciro products or completely abstain from smoking are exposed to substantially lower levels of HPHCs, and experience improvements in BoPH of oxidative stress and inflammation pathways.

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Introduction: Nicotine replacement medications are moderately effective in increasing quit rates. However, some smokers reject such aids, suggesting the value of considering alternative options. Snus, a smokeless tobacco product with low nitrosamine content, could offer an alternative. This study compared smoking cessation rates for snus, with and without information about reduced risk relative to smoking, with a nicotine lozenge (without relative risk information). Methods: A randomized, open-label, multicenter clinical trial was performed with 649 smokers, aged 21 to 65, who smoked at least 10 cigarettes per day for the past year and who were motivated to quit smoking. Participants were followed for up to 12 months and were provided no counseling or support. Smoking cessation was analyzed as continuous smoking abstinence (no smoking following quit date) and repeated point prevalence abstinence (no smoking within past 7 days). Results: Abstinence rates did not differ significantly between snus and the nicotine lozenge-continuous abstinence did not differ at any time point, and point prevalence rates differed only at month 3, when the lozenge group showed higher abstinence rates (17.4%) than either of the two snus groups (snus alone: 8.7%; snus plus information: 10.1%). Large percentages of participants used the products during the treatment period. Providing relative risk information to snus users did not affect snus use. The amount of use did not predict subsequent outcome. Adverse events were reported at similar rates across the three groups. Conclusions: Smoking cessation rates were comparable between snus and a nicotine lozenge, but success rates in this trial were low. Implications: This randomized trial of the nicotine lozenge, snus, or snus plus information on the relative risks of smokeless tobacco versus smoking found comparable but low smoking cessation rates for all three groups at weeks 12, 26, and 52. The one-time provision of relative risk information did not lead to greater snus use among those provided the information, suggesting no effect for this brief intervention.

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Cigarette filter ventilation allows air to be drawn into the filter, diluting the cigarette smoke. Although machine smoking reveals that toxicant yields are reduced, it does not predict human yields. The objective of this study was to investigate the relationship between cigarette filter ventilation and mouth level exposure (MLE) to tar and nicotine in cigarette smokers. We collated and reviewed data from 11 studies across 9 countries, in studies performed between 2005 and 2013 which contained data on MLE from 156 products with filter ventilation between 0% and 87%. MLE among 7534 participants to tar and nicotine was estimated using the part-filter analysis method from spent filter tips. For each of the countries, MLE to tar and nicotine tended to decrease as filter ventilation increased. Across countries, per-cigarette MLE to tar and nicotine decreased as filter ventilation increased from 0% to 87%. Daily MLE to tar and nicotine also decreased across the range of increasing filter ventilation. These data suggest that on average smokers of highly ventilated cigarettes are exposed to lower amounts of nicotine and tar per cigarette and per day than smokers of cigarettes with lower levels of ventilation.

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Smoke yields determined by a machine-based smoking method cannot adequately predict exposures experienced by human smokers. In this work, a filter analysis technique which addresses this fundamental limitation was used to measure mouth level exposures (MLE) to tar and nicotine in 1330 smokers of 26 brand-styles of US cigarettes covering a wide range of machine-generated yields. Despite the high degree of variability observed among individual smokers, MLEs were significantly correlated with machine-derived tar and nicotine yields (r=0.423 for nicotine MLE/cigarette; r=0.493 for tar MLE/cigarette; p<0.001 for both). Mean tar and nicotine MLE was higher for males than for females. Mean MLE across races was generally similar. Menthol cigarettes tended toward lower MLE than non-menthol cigarettes and King-Size cigarettes (≈ 83 mm) tended toward lower MLE than 100's cigarettes (≈ 100 mm), though those trends were not statistically significant. There were good agreements between MLEs measured in a group of 159 subjects smoking their usual cigarette brand-style on two separate occasions and between two independent groups of subjects smoking the same brand-styles. The results indicated that the filter analysis method used had sufficient precision to show similarity among groups.

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Previous studies demonstrated that repetitive application of cigarette smoke condensate (CSC) to 7,12-dimethylbenz[a]anthracene (DMBA)-initiated SENCAR mouse skin for 29 weeks at doses of 10, 20 and 40 mg "tar"/application results in time- and dose-dependent dermal tumor formation. To evaluate CSC-induced tumor promotion in other mouse skin models, male DBA/2 mice were treated with N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) (300 microg) or DMBA (75 or 150 microg) followed by promotion with 1R4F CSC at concentrations ranging from 9 to 45 mg "tar"/application. Both MNNG and DMBA have previously been shown to adequately initiate tumor development. Study end-points included clinical signs, body weights, and mass tracking. Neither the DMBA-initiated/acetone-promoted control groups, nor DMBA-initiated/CSC-promoted groups produced grossly observable skin tumors. For MNNG-initiated groups, a total of four tumors were observed. Based on these findings, it would appear the DBA/2 mouse was unresponsive to CSC dermal tumor promotion. It is not possible, based on the study design employed, to determine the underlying basis for the apparent resistance exhibited by this mouse strain to CSC-induced tumor promotion.

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High-throughput biotechnology has enabled genome-wide investigation of gene expression and has the potential to identify genes that have a role to play in focal cerebral ischemia, as well as many other interventions. The advent of this technology has also led to the generation of large amounts of expensive and complex expression data. One of the major problems with the generation of so much data is locating and extracting the relevant information to aid target identification and interpretation effectively and reliably. Statistical involvement is vital. Not only does it help to ensure effective extraction of information from the data, it also increases the likelihood that the data collected will embody the information about the differential expression of interest in the first place. The goal of this chapter is to recommend an effective process for investigating gene expression data. There are five stages in this process that we believe lead to reliable results when routinely applied to an expression dataset, once it has been appropriately generated and collected: (1) biological problem definition and design selection; (2) data examination, "preprocessing," and reexamination; (3) data analysis step I: screening for differentially expressed genes; (4) data analysis step II: verifying differential expression; and (5) biological verification, interpretation, and communication.

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