Understanding addiction in e-cigarette users – the EVAPE project

Background

Electronic cigarettes (e-cigarettes) are often advertised as a healthier option to combustible cigarettes and as smoking cessation aid. However, e-cigarettes are a growing health concern and their addictive potential remains to be fully understood. Within the EValuation of the Addictive Potential of E-cigarettes (EVAPE) project, we studied subjective and objective measures of addiction in relation to e-cigarette use.

Methods

This cross-sectional analysis was based on 832 participants of the first wave (2016) of England from the ITC Four Country Smoking and Vaping (4CV) Survey, who were using e-cigarettes daily or weekly for at least four months. Perceived addiction to e-cigarettes was categorised as very vs. not/somewhat addicted, and perceived addictiveness of e-cigarettes relative to combustible cigarettes as equally/more addictive vs. less addictive. Objective measures of addiction included urge to vape, time to first vape after waking, frequency of use, and used nicotine strength. We examined associations between these objective and subjective measures of addiction using multivariate logistic regression, adjusted for age, gender, education, and cigarette smoking.

Results

17.8% of participants reported feeling very addicted to e-cigarettes and 42.3% considered e-cigarettes equally/more addictive than combustible cigarettes. Those who felt very addicted had higher odds of regarding e-cigarettes as more addictive (OR 3.43 (95%-CI 2.29-5.19)). All objective measures of addiction were associated with higher perceived addiction, whereas only a shorter time to first vape was associated with perceived product addictiveness.

Conclusions

Subjective measures of addiction to e-cigarettes, in particular perceived addiction, correspond with objective measures. Understanding the addictive potential of e-cigarettes is the cornerstone for developing new strategies for prevention and treatment, and ultimately understanding their role from a public health perspective.

Key messages

Assessment of automated craving across substances and across cultures: stability-analysis of the Craving Automated Scale (CAS)

BACKGROUND

The transition from hedonic to compulsive use in Substance Use Disorders (SUD) is a critical point in SUD progression and hence relevant for assessment and treatment. To measure the habitual patterns of substance consumption, the Craving Automated Scales (CAS) for alcohol (CAS-A), substances (CAS-S) and cigarette smoking (CAS-CS) were developed and introduced to different countries. In this study, we aimed to investigate the structural stability of CAS across substances and cultures.

METHODS

This study analyzed the CAS-scores of a sample of 370 participants in Germany, China and the UK, including 262 opioid-users, 65 smokers and 43 alcohol-users. We performed stability analyses to check the stability (i. e. factorial invariance) of factor solutions. Based on confirmed stability of the general factor (gfactor) solution and the calculations rule obtained in the previous validation of CAS-alcohol (CAS-A), the factor structures of CAS-A, CAS-S and CAS-CS were compared.

RESULTS

The gfactor solutions based on calculations rule shows good stability, with the mean stability coefficients of 0.990 and 0.977 for CAS-S and CAS-CS respectively. The gfactor patterns were similar for CAS-A, CAS-S and CAS-CS, as well as across samples (Germany, China and the UK), with most factor-loadings larger than 0.7. Based on these findings, CAS-S and CAS-CS were also associated with established clinical measures of SUD.

CONCLUSIONS

Our findings suggest the two-gfactor solution based on a proposed calculation rule has a high stability across substances and cultures. This could be in line with common neurobiological mechanisms underlying habitual substance use. Moreover, comparing CAS with established clinical tools suggests that CAS might assess the automated behavior in substance consumption in a more sophisticated way.

Orbitofrontal structural markers of negative affect in alcohol dependence and their associations with heavy relapse-risk at 6 months post-treatment

BACKGROUND

Alcohol relapse is often occurring to regulate negative affect during withdrawal. On the neurobiological level, alcoholism is associated with gray matter (GM) abnormalities in regions that regulate emotional experience such as the orbitofrontal cortex (OFC). However, no study to our knowledge has investigated the neurobiological unpinning of affect in alcoholism at early withdrawal and the associations of OFC volume with long-term relapse risk.

METHODS

One hundred and eighty-two participants were included, 95 recently detoxified alcohol dependent patients (ADP) and 87 healthy controls (HC). We measured affective states using the positive and negative affect schedule (PANAS). We collected T1-weighted brain structural images and performed Voxel-based morphometry (VBM).

RESULTS

Findings revealed GM volume decrease in alcoholics in the prefrontal cortex (including medial OFC), anterior cingulate gyrus, and insula. GM volume in the medial OFC was positively associated with NA in the ADP group. Cox regression analysis predicted that risk to heavy relapse at 6 months increases with decreased GM volume in the medial OFC.

CONCLUSIONS

Negative affect during alcohol withdrawal was positively associated with OFC volume. What is more, increased GM volume in the OFC also moderated risk to heavy relapse at 6 months. Reduced GM in the OFC poses as risk to recovery from alcohol dependence and provides valuable insights into transient negative affect states during withdrawal that can trigger relapse. Implications exist for therapeutic interventions signifying the OFC as a neurobiological marker to relapse and could explain the inability of ADP to regulate internal negative affective states.

BDNF Val66Met and reward-related brain function in adolescents: role for early alcohol consumption

Changes in reward processing have been identified as one important pathogenetic mechanism in alcohol addiction. The nonsynonymous single nucleotide polymorphism in the brain-derived neurotrophic factor (BDNF) gene (rs6265/Val66Met) modulates the central nervous system activity of neurotransmitters involved in reward processing such as serotonin, dopamine, and glutamate. It was identified as crucial for alcohol consumption in healthy adults and, in rats, specifically related to the function in the striatum, a region that is commonly involved in reward processing. However, studies in humans on the association of BDNF Val66Met and reward-related brain functions and its role for alcohol consumption, a significant predictor of later alcohol addiction, are missing. Based on an intermediate phenotype approach, we assessed the early orientation toward alcohol and alcohol consumption in 530 healthy adolescents that underwent a monetary incentive delay task during functional magnetic resonance imaging. We found a significantly lower response in the putamen to reward anticipation in adolescent Met carriers with high versus low levels of alcohol consumption. During reward feedback, Met carriers with low putamen reactivity were significantly more likely to orient toward alcohol and to drink alcohol 2 years later. This study indicates a possible effect of BDNF Val66Met on alcohol addiction-related phenotypes in adolescence.

A comparison of region-of-interest measures for extracting whole brain data using survival analysis in alcoholism as an example

BACKGROUND

Aggregation of functional magnetic resonance imaging (fMRI) data in regions-of-interest (ROIs) is required for complex statistical analyses not implemented in standard fMRI software. Different data-aggregation measures assess various aspects of neural activation, including spatial extent and intensity.

NEW METHOD

In this study, conducted within the framework of the PREDICT study, we compared different aggregation measures for voxel-wise fMRI activations to be used as prognostic factors for relapse in 49 abstinent alcohol-dependent individuals in an outpatient setting using a cue-reactivity task. We compared the importance of the data-aggregation measures as prognostic factors for treatment outcomes by calculating the proportion of explained variation.

RESULTS AND COMPARISON WITH EXISTING METHOD(S)

Relapse risk was associated with cue-induced brain activation during abstinence in the ventral striatum (VS) and in the orbitofrontal cortex (OFC). While various ROI measures proved appropriate for using fMRI cue-reactivity to predict relapse, on the descriptive level the most "important" prognostic factor was a measure defined as the sum of t-values exceeding an individually defined threshold. Data collected in the VS was superior to that from other regions.

CONCLUSIONS

In conclusion, it seems that fMRI cue-reactivity, especially in the VS, can be used as prognostic factor for relapse in abstinent alcohol-dependent patients. Our findings suggest that data-aggregation measures that take both spatial extent and intensity of cue-induced brain activation into account make better biomarkers for predicting relapse than measures that consider an activation's spatial extent or intensity alone.

Genetic risk for nicotine dependence in the cholinergic system and activation of the brain reward system in healthy adolescents

Genetic variation in a genomic region on chromosome 15q25.1, which encodes the alpha5, alpha3, and beta4 subunits of the cholinergic nicotinic receptor genes, confers risk to smoking and nicotine dependence (ND). Neural reward-related responses have previously been identified as important factors in the development of drug dependence involving ND. Applying an imaging genetics approach in two cohorts (N=487; N=478) of healthy non-smoking adolescents, we aimed to elucidate the impact of genome-wide significant smoking-associated variants in the CHRNA5-CHRNA3-CHRNB4 gene cluster on reward-related neural responses in central regions such as the striatum, orbitofrontal and anterior cingulate cortex (ACC), and personality traits related to addiction. In both samples, carriers of the rs578776 GG compared with AG/AA genotype showed a significantly lower neural response to reward outcomes in the right ventral and dorsal ACC but not the striatum or the orbitofrontal cortex. Rs578776 was unrelated to neural reward anticipation or reward magnitude. Significantly higher scores of anxiety sensitivity in GG compared with AG/AA carriers were found only in sample 1. Associations with other personality traits were not observed. Our findings suggest that the rs578776 risk variant influences susceptibility to ND by dampening the response of the ACC to reward feedback, without recruiting the striatum or orbitofrontal cortex during feedback or anticipation. Thus, it seems to have a major role in the processing of and behavioral adaptation to changing reward outcomes.

The personality trait self-directedness predicts the amygdala's reaction to appetizing cues in fMRI

Personality and neural response to food cues in various mesolimbic brain structures have been linked to eating disorders. We investigated the question of whether personality traits in healthy individuals correlate with the brain activation induced on confrontation with appetizing visual stimuli. Personality was assessed in 27 normal-weight participants (14 women, mean age=26.0, SD=3.3 years) with the Temperament and Character Inventory (TCI). After an overnight fast, participants viewed blocks of pictures, half containing appetizing food and the other half showing scrambled pictures as control. After each block, participants rated their appetite. Brain activation was measured using a 3T MR scanner. Food compared to control stimuli elicited a significantly higher appetite rating, as well as strong activation in the ventral and dorsal visual stream, the fusiform gyrus and consecutive limbic centres such as the parahippocampal gyrus, the amygdala, the thalamus, the insula, the ventral striatum and the orbitofrontal cortex. In a region-of-interest analysis, the TCI trait self-directedness was negatively correlated with mean blood oxygenation level dependent (BOLD) signal change in the right amygdala (r=-.43, p=.025). Ultimately, amygdala reactivity might provide a risk factor for the development of eating disorders.

Reduced striatal activation during reward anticipation due to appetite-provoking cues in chronic schizophrenia: a fMRI study

The occurrence of weight gain in schizophrenia (SZ) has profound clinical impact and interacts with antipsychotic medication, life style and disease severity. The functional neuroanatomy underlying altered nutritional behavior is unraveled, but dysregulated reward anticipation might be one of the involved neuronal mechanisms. The striatum, a core region of the reward network and salience attribution, was previously shown to regulate appetite perception and eating behavior. We studied patients suffering from chronic schizophrenia with a stable medication in comparison to age and gender matched healthy adults. Every subject had to undergo a 6h fasting period before a newly developed, appetite-provoking fMRI task was applied. Subjects saw visual stimuli of appetitive food items in a 3Tesla scanner. In healthy controls food images elicited stronger activation in the striatum compared to SZ patients. When adjusting a ROI-based striatal activation for medication and weight, the group difference remained still significant. This points an effect of illness independent of antipsychotic medication. These data underscore the involvement of the striatum into salience attribution, reward anticipation and the neuronal pathways leading to altered eating behavior and weight gain in schizophrenia.

Impairment of inhibitory control in response to food-associated cues and attentional bias of obese participants and normal-weight controls

OBJECTIVE

Starting from a model of impaired response inhibition and salience attribution for addictive behaviour we investigated whether obese participants show a greater impairment of inhibitory control in response to food-associated cues compared with neutral stimuli and whether this is seen in normal-weight control subjects. In addition, we questioned whether an attentional bias towards food-associated cues can be observed in an early stage of information processing.

DESIGN

Control-group study including the administration of behavioural tasks (that is, go/no-go task with food-associated and neutral words, visual dot probe task with food-associated and neutral pictures) and self-reported measures of eating behaviour and impulsivity.

RESULTS

Although self-reported measures indicated disinhibition of eating behaviour of obese patients, we found that food-associated stimuli induced an impairment of inhibitory control in both obese participants as well as normal-weight controls. Results from the visual dot-probe task indicated that food-associated cues did not modulate attention allocation in a very early stage of information processing, which suggests that the incentive salience of food-associated stimuli might be lower than that of drug-associated cues.

CONCLUSION

These findings are not in line with hypotheses derived from models of addictive behaviour and call into question that an impairment of inhibitory control in response to food-associated cues and salience attribution might be at the core of obesity. Future studies using larger sample sizes and refined experimental procedures are warranted to further investigate mechanisms controlling food intake in obesity.