Genetics of schizophrenia and smoking: an approach to studying their comorbidity based on epidemiological findings

The shared genetic architecture of smoking behaviours and psychiatric disorders: evidence from a population-based longitudinal study in England

BACKGROUND

Considering the co-morbidity of major psychiatric disorders and intelligence with smoking, to increase our understanding of why some people take up smoking or continue to smoke, while others stop smoking without progressing to nicotine dependence, we investigated the genetic propensities to psychiatric disorders and intelligence as determinants of smoking initiation, heaviness of smoking and smoking cessation in older adults from the general population.

RESULTS

Having utilised data from the English Longitudinal Study of Ageing (ELSA), our results showed that one standard deviation increase in MDD-PGS was associated with increased odds of being a moderate-heavy smoker (odds ratio [OR] = 1.11, SE = 0.04, 95%CI = 1.00-1.24, p = 0.028). There were no other significant associations between SZ-PGS, BD-PGS, or IQ-PGS and smoking initiation, heaviness of smoking and smoking cessation in older adults from the general population in the UK.

CONCLUSIONS

Smoking is a behaviour that does not appear to share common genetic ground with schizophrenia, bipolar disorders, and intelligence in older adults, which may suggest that it is more likely to be modifiable by smoking cessation interventions. Once started to smoke, older adults with a higher polygenic predisposition to major depressive disorders are more likely to be moderate to heavy smokers, implying that these adults may require targeted smoking cessation services.

Non-alcoholic fatty liver disease (NAFLD) and mental illness: Mechanisms linking mood, metabolism and medicines

Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease in the world and one of the leading indications for liver transplantation. It is one of the many manifestations of insulin resistance and metabolic syndrome as well as an independent risk factor for cardiovascular disease. There is growing evidence linking the incidence of NAFLD with psychiatric illnesses such as schizophrenia, bipolar disorder and depression mechanistically via genetic, metabolic, inflammatory and environmental factors including smoking and psychiatric medications. Indeed, patients prescribed antipsychotic medications, regardless of diagnosis, have higher incidence of NAFLD than population norms. The mechanistic pharmacology of antipsychotic-associated NAFLD is beginning to emerge. In this review, we aim to discuss the pathophysiology of NAFLD including its risk factors, insulin resistance and systemic inflammation as well as its intersection with psychiatric illnesses.

Chronic obstructive pulmonary disease in severe mental illness: A timely diagnosis to advance the process of quitting smoking

Background

This study has two main objectives: to describe the prevalence of undetected chronic obstructive pulmonary disease (COPD) in a clinical sample of smokers with severe mental illness (SMI), and to assess the value of the Tobacco Intensive Motivational Estimated Risk tool, which informs smokers of their respiratory risk and uses brief text messages to reinforce intervention.

Method

A multicenter, randomized, open-label, and active-controlled clinical trial, with a 12-month follow-up. Outpatients with schizophrenia (SZ) and bipolar disorder were randomized either to the experimental group—studied by spirometry and informed of their calculated lung age and degree of obstruction (if any)—or to the active control group, who followed the 5 A’s intervention.

Results

The study sample consisted of 160 patients (71.9% SZ), 78.1% of whom completed the 12-month follow-up. Of the patients who completed the spirometry test, 23.9% showed evidence of COPD (77.8% in moderate or severe stages). TIMER was associated with a significant reduction in tobacco use at week 12 and in the long term, 21.9% of patients reduced consumption and 14.6% at least halved it. At week 48, six patients (7.3%) allocated to the experimental group achieved the seven-day smoking abstinence confirmed by CO (primary outcome in terms of efficacy), compared to three (3.8%) in the control group.

Conclusion

In this clinical pilot trial, one in four outpatients with an SMI who smoked had undiagnosed COPD. An intensive intervention tool favors the early detection of COPD and maintains its efficacy to quit smoking, compared with the standard 5 A’s intervention.

Prevalence and Epidemiological Profile of Smokers in the Psychiatric Population and General Population: Smokers in Psychiatric Population

This study aims to estimate the prevalence of smokers living in Brazil who use outpatient and hospital psychiatric services and outpatient services in primary health care services. It also aims to identify the sociodemographic and clinical factors associated with current smoking in these samples. This is a cross-sectional study with 378 participants from a Brazilian city: P1, persons from the mental health outpatient service; and P2, persons from the psychiatric hospital; P3, general population from the primary healthcare center. A Poisson multiple regression model for current smoking was adjusted. The prevalence of smokers was greater in the psychiatric population than those in the primary health care population (mental health outpatient service = 27%, psychiatric hospital = 60.3%, primary healthcare center = 19%). Current smoking is associated with younger groups (15-29 years old: PRadjusted = 3.35; 30-39 years old: PRadjusted = 2.28), Roman Catholicism (PRadjusted = 1.60), not having a religion (PRadjusted = 2.45), severe psychiatric illness (PRadjusted = 3.04), anxiety disorders/other disorders (PRadjusted = 3.96), and the previous and current use of alcohol (PRadjusted = 2.27 and 2.25, respectively) and illicit substances (PRadjusted = 1.81 and 2.00, respectively). In conclusion, the independent factors associated with current smoking are age, religion, psychiatric diagnosis, and use of alcohol/illicit substances.

Identification of 34 genes conferring genetic and pharmacological risk for the comorbidity of schizophrenia and smoking behaviors

The prevalence of smoking is significantly higher in persons with schizophrenia (SCZ) than in the general population. However, the biological mechanisms of the comorbidity of smoking and SCZ are largely unknown. This study aimed to reveal shared biological pathways for the two diseases by analyzing data from two genome-wide association studies with a total sample size of 153,898. With pathway-based analysis, we first discovered 18 significantly enriched pathways shared by SCZ and smoking, which were classified into five groups: postsynaptic density, cadherin binding, dendritic spine, long-term depression, and axon guidance. Then, by using an integrative analysis of genetic, epigenetic, and expression data, we found not only 34 critical genes (e.g., PRKCZ, ARHGEF3, and CDKN1A) but also various risk-associated SNPs in these genes, which convey susceptibility to the comorbidity of the two disorders. Finally, using both in vivo and in vitro data, we demonstrated that the expression profiles of the 34 genes were significantly altered by multiple psychotropic drugs. Together, this multi-omics study not only reveals target genes for new drugs to treat SCZ but also reveals new insights into the shared genetic vulnerabilities of SCZ and smoking behaviors.

Motivations to quit smoking and challenges faced during cessation among individuals with first episode psychosis in Singapore

AIMS

The prevalence of smoking has been noted to be higher among individuals with mental illness, particularly among those with schizophrenia and related psychosis than in the general population. The present paper sought to examine the motivations and challenges to quit smoking among first episode psychosis patients (N = 281) enrolled in the Early Psychosis Intervention Programme (EPIP) in Singapore.

METHODS

Questionnaires were used to collect details on an individual's smoking status, cessation attempts, motivations to quit, and challenges to stop smoking. Using baseline data, multiple linear regressions were conducted to examine the socio-demographic correlates of motivations and challenges of smoking cessation behaviour.

RESULTS

Of the study sample, 59.4% reported to have never smoked while 39.9% were currently smoking or had attempted smoking. Health reasons and cost were the most highly endorsed motivations to stop smoking; whereas cravings, stress, and boredom were highly endorsed as challenges to stop smoking. Socio-demographic factors such as age, educational level, and marital status were also found to be associated with the motivations to stop smoking and challenges faced during smoking cessation.

CONCLUSIONS

The present study highlights the most highly endorsed motivations and challenges reported among individuals with first episode psychosis (FEP) in an Asian population. Given that the literature examining motivations and challenges to quit smoking has predominantly focused on the general population, results from the current study have implications for the formulation of smoking cessation programmes targeted at individuals with mental illness, particularly those with FEP.

Effect of fluvoxamine augmentation and smoking on clozapine serum concentrations

BACKGROUND

Clozapine (CLZ) is metabolized via cytochrome P450 CYP1A2 to N-desmethylclozapine (NCLZ). Smoking induces CYP1A2 thereby increasing clozapine metabolism whereas fluvoxamine inhibits CYP1A2. Studies suggest that the beneficial effect of fluvoxamine augmentation in raising serum clozapine concentrations also occurs when serum concentrations are low due to smoking. Yet, little is known about the influence of fluvoxamine augmentation on clozapine serum concentrations in smoking versus non-smoking patients.

METHODS

A TDM database was analyzed. Serum concentrations of CLZ, NCLZ, dose-adjusted serum concentrations (C/D) and metabolite-to-parent ratios (MPR) were compared using non-parametrical tests in four groups: clozapine-monotherapy in non-smokers (V_NS, n = 28) and smokers (V_S, n = 43); combined treatment with clozapine and fluvoxamine in non-smokers (V_NS+F, n = 11) and smokers (V_S+F, n = 43).

RESULTS

The CLZ monotherapy smoking group showed lower values of C/D CLZ of -38.6% (p < 0.001), C/D NCLZ -35.6% (p < 0.001) and a higher MPR (p = 0.021) than in the non-smoking group. The combination of CLZ and fluvoxamine in non-smoking patients led to higher C/D values: C/D CLZ +117.9% (p < 0.001), C/D NCLZ +60.8% (p = 0.029) while the MPR did not differ between groups (p = 0.089). Changes were comparable to fluvoxamine augmentation in the smoking group with increased C/D CLZ of +120.1% (p < 0.001), C/D NCLZ of +85.8% (p < 0.001) and lower MPR (p = 0.006).

CONCLUSIONS

Smoking in clozapine monotherapy reduced median dose-adjusted serum concentrations more than a third. Combined treatment with fluvoxamine and clozapine led to higher median C/D values in both, smokers and non-smokers. The opposing effects of CYP1A2 induction by smoking and inhibition by fluvoxamine on clozapine serum concentrations balanced out.

Tobacco smoking is associated with antipsychotic medication, physical aggressiveness, and alcohol use disorder in schizophrenia: results from the FACE-SZ national cohort

Tobacco smoking is common in schizophrenia and is one of the main causes of premature mortality in this disorder. Little is known about clinical correlates and treatments associated with tobacco smoking in patients with schizophrenia. Still, a better characterization of these patients is necessary, in a personalized care approach. Aggressiveness and childhood trauma have been associated with tobacco smoking in general population, but this association has never been explored in schizophrenia. Our study examines the clinical and therapeutic characteristics of tobacco smoking in schizophrenia. 474 stabilized patients (mean age = 32.2; 75.7% male gender; smokers n = 207, 54.6%) were consecutively included in the network of the FondaMental Expert centers for Schizophrenia and assessed with valid scales. Current tobacco status was self-declared. Aggressiveness was self-reported with Buss-Perry Aggressiveness Questionnaire and Childhood Trauma with Childhood Trauma Questionnaire. Ongoing treatment was reported. In univariate analysis, tobacco smoking was associated with lower education level (p < 0.01), positive syndrome (p < 0.01), higher physical aggressiveness (p < 0.001), alcohol dependence (p < 0.001), and First Generation Antipsychotics (FGAs) use (p = 0.018). In a multivariate model, tobacco smoking remained associated with physical aggressiveness (p < 0.05), current alcohol dependence (p < 0.01) and FGA use (p < 0.05). No association was observed with childhood trauma history, mood disorder, suicidal behavior, psychotic symptom, global functioning or medication adherence. Patients with tobacco use present clinical and therapeutic specificities, questioning the neurobiological links between tobacco and schizophrenia. They could represent a specific phenotype, with specific clinical and therapeutic specificities that may involve interactions between cholinergic-nicotinic system and dopaminergic system. Further longitudinal studies are needed to confirm the potential efficacy of second generation antipsychotics (SGAs) on tobacco use in schizophrenia and to develop effective strategies for tobacco cessation in this population.

Influence of Venus and Mars in the cognitive sky of schizophrenia. Results from the first-step national FACE-SZ cohort

OBJECTIVES

Sex differences can yield important clues regarding illness pathophysiology and its treatment. Schizophrenia (SZ) has a lower incidence rate, and a better prognosis, in women versus men. The present study investigated the cognitive profiles of both sexes in a large multi-centre sample of community-dwelling SZ patients.

METHOD

544 community-dwelling stable SZ subjects (141 women and 403 men; mean age 34.5±12.1 and 31.6±8.7years, respectively) were tested with a comprehensive battery of neuropsychological tests.

RESULTS

Although community-dwelling SZ men had more risk factors for impaired cognition (including first-generation antipsychotics administration and comorbid addictive disorders), women had lower scores on a wide range of cognitive functions, including current and premorbid intellectual functioning, working memory, semantic memory, non-verbal abstract thinking and aspects of visual exploration. However, women scored higher in tests of processing speed and verbal learning, as well as having a lower verbal learning bias. No sex difference were evident for visuospatial learning abilities, cued verbal recall, sustained attention and tests of executive functions, including cognitive flexibility, verbal abstract thinking, verbal fluency and planning abilities.

CONCLUSION

Sex differences are evident in the cognitive profiles of SZ patients. The impact on daily functioning and prognosis, as well as longitudinal trajectory, should be further investigated in the FACE-SZ follow-up study. Sex differences in cognition have implications for precision-medicine determined therapeutic strategies.

LIMITS

Given the restricted age range of the sample, future research will have to determine cognitive profiles across gender in late onset SZ.

Nicotine dependence in Croatian male inpatients with schizophrenia

BACKGROUND

Patients with schizophrenia have the highest known rates of cigarette smoking, but less is known about their smoking behavior and the differences across geographical regions, including Croatia. The aim of this study was to compare patterns of nicotine dependence between patients with schizophrenia and healthy individuals, and to determine the relationship between clinical presentation and the severity of smoking.

METHODS

This cross-sectional study included 182 recently hospitalized male inpatients and 280 healthy males, who were daily smokers. All participants have fulfilled the Fagerstrom Test for Nicotine Dependence (FTND). Patients were also evaluated by the Positive and Negative Syndrome Scale (PANSS).

RESULTS

Patients had higher FTND total score (p = 0.010), smoked their first cigarette earlier in the morning (p = 0.000), consumed higher number of cigarettes (p = 0.000), while healthy subjects had more difficulties to refrain from smoking in places where it is forbidden (p = 0.000) and smoked more even when they were sick (p = 0.000). While severe dependence was more prevalent in the patient group, light dependence was more frequent in control subjects (p = 0.04). Smoking behavior was not associated with either PANSS total score or any of its subscales and items.

CONCLUSIONS

Smokers with schizophrenia differ from healthy smokers in both smoking behavior and level of dependence. Longitudinal studies are needed to shed more light on the complex relationship between smoking and psychopathology in schizophrenia.

Schizophrenia and Nicotine Dependence: What Psychopharmacological Treatment Options are Available for the Duo Perturbationes?

Nicotine dependence has progressively become a foremost community health interest in both the developed and developing nations due to the economic burden and health-related problems. Smoking was significantly higher among patients with schizophrenia in comparison to the general population. Nicotine dependence is not only associated with public stress, but among patients with schizophrenia, smoking brings major challenges to the management. Nicotine may diminish the therapeutic efficacy of the bioavailability of the psychopharmacological agents in-vivo. These duo perturbations, i.e. two clinical conditions co-existed may prevent psychotic symptoms remission among patients suffering from schizophrenia who smoke at the same time. The aim of this review was to highlight the role of pharmacological treatment options and strategies for patients with nicotine dependence in schizophrenia with emphasis on the underlying neurobiological process. The role of nicotine replacement therapy, i.e. norepinephrine-dopamine reuptake inhibition (NDRI) e.g. bupropion and selective partial agonist of α4β2 and full α7-nicotinic acetylcholine receptor e.g. varenicline was deliberated. An ideal choice of drug targets for patients with schizophrenia with nicotine dependence is pivotal to foster a better therapeutic alliance.

Two heads are better than one: Australian tobacco control experts' and mental health change champions' consensus on addressing the problem of high smoking rates among people with mental illness

Objective The aims of the present study were to explore the beliefs of Australian experts in tobacco control and change champions working in mental health and tobacco cessation, and to identify measures for addressing the problem of high smoking rates for people with mental illness. Methods Qualitative interviews were undertaken to explore participants' views, and the Delphi technique was used to achieve consensus on ways in which the problem would be best addressed. Results This consensus centred on the need for leadership within the mental health system. The problem was reconceptualised from being solely the responsibility of the mental health sector into an issue that requires the combined resources of a partnership and shared leadership between government and non-government services, public health leaders, policy makers and people with mental illness and their families. Conclusions Collaboration would raise the priority of the issue, reduce the debilitating effect of stigma and discrimination within the mental health sector and would place smoking reduction firmly on the political and public agenda. A recovery-orientated focus would increase the skill base and be inclusive of workers, families and carers of people with mental illness who face smoking issues on a daily basis. Reconceptualising this as an issue that would benefit from cooperation and partnerships would disrupt the notion that the problem is solely the responsibility of the mental health sector. What is known about the topic? Rates of smoking have remained high for people with mental illness despite population-wide public health strategies successfully reducing smoking rates in the general population. For people with mental illness, the benefits of quitting smoking for both their mental and physical health are overshadowed by concerns about the complexity of their needs. There is a lack of knowledge about how smoking cessation support can be improved to increase success rates in smokers with mental illness. What does this paper add? The present study is the first to bring a cross-sector lens of public health and mental health 'experts' together to discuss the reasons for the high rates of smoking among people with mental illness and to obtain their shared agreement on solutions. This Australian-specific study analyses participants' responses to the problem representation and reveals what the issue is considered to be, where action should occur and how the problem should be resolved. What are the implications for practitioners? For the Australian context, there is a need for leadership and a consistent smoke-free message about the benefits of not smoking. Staff working in mental health require training in providing brief interventions, motivational interviewing and pharmacological support. Joining together as a partnership of government and non-government services, including public health leaders and policy makers, and involving people with mental illness and their families, would benefit all concerned.

Genetic Relationship between Schizophrenia and Nicotine Dependence

It is well known that most schizophrenia patients smoke cigarettes. There are different hypotheses postulating the underlying mechanisms of this comorbidity. We used summary statistics from large meta-analyses of plasma cotinine concentration (COT), Fagerström test for nicotine dependence (FTND) and schizophrenia to examine the genetic relationship between these traits. We found that schizophrenia risk scores calculated at P-value thresholds of 5 × 10⁻³ and larger predicted FTND and cigarettes smoked per day (CPD), suggesting that genes most significantly associated with schizophrenia were not associated with FTND/CPD, consistent with the self-medication hypothesis. The COT risk scores predicted schizophrenia diagnosis at P-values of 5 × 10⁻³ and smaller, implying that genes most significantly associated with COT were associated with schizophrenia. These results implicated that schizophrenia and FTND/CPD/COT shared some genetic liability. Based on this shared liability, we identified multiple long non-coding RNAs and RNA binding protein genes (DA376252, BX089737, LOC101927273, LINC01029, LOC101928622, HY157071, DA902558, RBFOX1 and TINCR), protein modification genes (MANBA, UBE2D3, and RANGAP1) and energy production genes (XYLB, MTRF1 and ENOX1) that were associated with both conditions. Further analyses revealed that these shared genes were enriched in calcium signaling, long-term potentiation and neuroactive ligand-receptor interaction pathways that played a critical role in cognitive functions and neuronal plasticity.

A combined analysis of worldwide studies demonstrates an association between bipolar disorder and tobacco smoking behaviors in adults

OBJECTIVES

Worldwide studies were combined to examine two hypotheses: (i) bipolar disorder is associated with smoking behaviors, compared with the general population; and (ii) smoking behavior prevalences in bipolar disorder are intermediate between those in major depressive disorder and those in schizophrenia.

METHODS

Combined analyses used 56 articles on adults obtained from a PubMed search or the senior author's article collection. Odds ratios (ORs) and their 95% confidence intervals (CIs) compared current smoking, heavy smoking among current smokers, smoking cessation in ever smokers, and ever smoking in bipolar disorder versus control groups.

RESULTS

The combined OR was 3.5 (CI: 3.39-3.54) in 51 current smoking studies of bipolar disorder versus the general population from 16 countries. More limited data provided an OR = 0.34 (CI: 0.31-0.37) for smoking cessation and an OR = 3.6 (CI: 3.30-3.80) for ever smoking. The combined OR was 0.76 (CI: 0.74-0.79) for current smoking in bipolar disorder versus schizophrenia in 20 studies from ten countries. Ever smoking may be lower in bipolar disorder than in schizophrenia (OR = 0.83, CI: 0.75-0.91). The OR was 2.05 (CI: 2.00-2.10) for current smoking in bipolar disorder versus major depression in 18 studies from seven countries. Ever smoking may be higher (OR = 1.5, CI: 1.40-1.70) and smoking cessation lower (OR = 0.51, CI: 0.45-0.59) in bipolar disorder than in major depression.

CONCLUSIONS

Increased current smoking in bipolar disorder versus the general population reflected increased ever smoking (initiation) and decreased smoking cessation. Smoking behavior frequencies in bipolar disorder may be between those in depressive disorder and schizophrenia, with schizophrenia showing the highest severity level.

Tobacco smoking is causally associated with antipsychotic medication use and schizophrenia, but not with antidepressant medication use or depression

BACKGROUND

Tobacco smoking is more common among patients with schizophrenia and depression than among healthy individuals. We tested the hypothesis that high tobacco smoking intensity is causally associated with antipsychotic medication use, schizophrenia, antidepressant medication use and/or depression in the general population, and compared results with those for chronic obstructive pulmonary disease.

METHODS

We used self-reported smoking intensity in cigarettes/day and a polymorphism in the CHRNA3 gene cluster (rs1051730) associated with smoking intensity, on 63,296 20-100-year-old individuals from the Danish general population; 23,282 were never-smokers and 40,014 ever-smokers. For schizophrenia, we compared our results with those in the Psychiatric Genomics Consortium.

RESULTS

In smokers, heterozygotes (CT) and homozygotes (TT) for rs1051730 genotype had higher smoking intensity compared with non-carriers (CC). Furthermore, in ever-smokers homozygotes had increased risk of antipsychotic medication with an odds ratio (OR) of 1.16 [95% confidence interval (CI) 1.02-1.31] compared with non-carriers, whereas in never-smokers the corresponding OR was 1.07 (0.87-1.31) (P-interaction: 0.60). Correspondingly, ORs were 1.60 (0.74-3.47) and 1.02 (0.11-9.10) for schizophrenia (P-interaction: 0.85), 1.02 (0.93-1.13) and 0.99 (0.85-1.15) for antidepressant medication (P-interaction: 0.87), 0.85 (0.66-1.10) and 1.26 (0.87-1.83) for depression (P-interaction: 0.30) and 1.31 (1.16-1.47) and 0.89 (0.58-1.36) for chronic obstructive pulmonary disease (P-interaction: 0.16). Odds ratios per rs1051730 allele for schizophrenia and antipsychotic medication use in ever-smokers in the general population were 1.22 (95% CI: 0.84-1.79) and 1.06 (1.00-1.12). In the Psychiatric Genomics Consortium, the corresponding OR for schizophrenia was 1.06 (1.04-1.08) in ever- and never-smokers combined.

CONCLUSION

Our data suggest that tobacco smoking could influence the development of psychotic conditions causally, whereas an influence on depression seems unlikely.

Caffeine consumption in a long-term psychiatric hospital: Tobacco smoking may explain in large part the apparent association between schizophrenia and caffeine use

This study further explores the association between schizophrenia and caffeine use by combining two prior published Spanish samples (250 schizophrenia outpatients and 290 controls from the general population) with two Spanish long-term inpatient samples from the same hospital (145 with schizophrenia and 64 with other severe mental illnesses). The specific aims were to establish whether or not, after controlling for confounders including tobacco smoking, the association between schizophrenia and caffeine is consistent across schizophrenia samples and across different definitions of caffeine use. The frequency of caffeine use in schizophrenia inpatients was not significantly higher than that in non-schizophrenia inpatients (77%, 111/145 vs. 75%, 48/64) or controls but was significantly higher than in schizophrenia outpatients. The frequency of high caffeine users among caffeine users in schizophrenia inpatients was not significantly higher than in non-schizophrenia inpatients (45%, 50/111 vs. 52%, 25/48) or controls, but was significantly lower than in schizophrenia outpatients. Smoking was significantly associated with caffeine use across all samples and definitions. Between 2 and 3% of schizophrenia inpatients, schizophrenia outpatients and non-schizophrenia inpatients showed caffeinism (>700 mg/day in smokers). Several of these smoking patients with caffeinism were also taking other inducers, particularly omeprazole. The lack of consistent association between schizophrenia and caffeine use is surprising when compared with the very consistent association between tobacco smoking and caffeine use across all of our analyses (use and high use in users) and all our samples. The confounding effects of tobacco smoking may explain in large part the apparent association between schizophrenia and caffeine use.

Smoking and BDNF Val66Met polymorphism in male schizophrenia: a case-control study

Some recent studies show an association between a functional polymorphism of BDNF gene (Val66Met) and the susceptibility to nicotine dependence and we hypothesized that this polymorphism was associated with smoking in both schizophrenia patients and healthy controls. The BDNF Val66Met gene polymorphism was genotyped in 690 chronic male schizophrenia patients (smoker/nonsmoker = 522/169) and 628 male controls (smoker/nonsmoker = 322/306) using a case-control design. Nicotine dependence (ND) was assessed by the cigarettes smoked per day (CPD), the Heaviness of Smoking Index (HSI), and the Fagerstrom Test for ND (FTND). Patients also were rated on the Positive and Negative Syndrome Scale (PANSS). The results showed no significant differences in BDNF Val66Met genotype and allele distributions between the patients and healthy controls or between smokers and nonsmokers in either patients or healthy controls alone. In patient groups, however, the smokers with the Met allele had significantly higher HSI scores (Met/Met: 2.8 ± 1.7 vs. Met/Val: 2.2 ± 1.7 vs. Val/Val: 2.0 ± 1.6, p < 0.01) and a trend toward a significantly higher FTND score (p = 0.09) than those with the Val/Val genotype. In addition, the smokers showed significantly lower PANSS negative symptom and total scores, longer duration of illness and more hospitalizations (all p < 0.05). In the control group, the smokers with the Met allele started smoking significantly earlier than those with the Val/Val genotype (both p < 0.05). These results suggest that the BDNF Val66Met polymorphism may affect a smoker's response to nicotine in both schizophrenia and healthy controls from a Chinese Han population, but with differential effects in different aspects of smoking behaviors.

The effects of prenatal stress on alpha4 beta2 and alpha7 hippocampal nicotinic acetylcholine receptor levels in adult offspring

Prenatal stress in humans is associated with psychiatric problems in offspring such as anxiety, depression, and schizophrenia. These same illnesses are also associated with neuronal nicotinic acetylcholine receptor (nAChR) dysfunction. Despite the known associations between prenatal stress exposure and offspring mental illness, and between mental illness and nAChR dysfunction, it is not known whether prenatal stress exposure impacts neuronal nAChRs. Thus, we tested the hypothesis that maternal stress alters the development of hippocampal alpha4 beta2 (α4β2∗) and alpha7 (α7∗) nicotinic receptor levels in adult offspring. Female Sprague-Dawley rats experienced unpredictable variable stressors two to three times daily during the last week of gestation. At weaning (21 days) the offspring of prenatally stressed (PS) and nonstressed (NS) dams were assigned to same-sex PS or NS groups. In young adulthood (56 days), the brains of offspring were collected and adjacent sections processed for quantitative autoradiography using [125I]-epibatidine (α4β2* nicotinic receptor-selective) and [125I]-α-bungarotoxin (α-BTX; α7* nicotinic receptor-selective) ligands. We found that PS significantly increased hippocampal α4β2* nAChRs of males and females in all subfields analyzed. In contrast, only females showed a trend toward PS-induced increases in α7* nAChRs in the dentate gyrus. Interestingly, NS females displayed a significant left-biased lateralization of α7* nAChRs in the laconosum moleculare of area CA1, whereas PS females did not, suggesting that PS interfered with normal lateralization patterns of α7* nAChRs during development. Taken together, our results suggest that PS impacts the development of hippocampal nAChRs, which may be an important link between PS exposure and risk for neuropsychiatric illness.

Cigarette smoking, psychopathology and cognitive function in first-episode drug-naive patients with schizophrenia: a case-control study

BACKGROUND

Although patients with chronic schizophrenia have substantially higher smoking rates than either the general population or patients with other mental illnesses, drug-naive patients with a first episode of schizophrenia have received little systemic study. This study examined smoking rates, the association between smoking and symptom severity and cognitive function in Chinese first-episode schizophrenia (FES) patients using cross-sectional and case-control designs.

METHOD

Two hundred and forty-four drug-naive FES patients and 256 healthy controls matched for gender, age and education completed the Fagerström Test for Nicotine Dependence (FTND) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Patients were also rated on the Positive and Negative Symptom Scale (PANSS).

RESULTS

The rate and quantity of smoking were not significantly higher among FES patients compared to the general population. Among patients, smokers scored higher than non-smokers on the total PANSS and the positive symptom subscale scores. There were no significant associations between cognitive function and smoking in either FES patients or healthy controls.

CONCLUSIONS

In contrast to studies in patients with chronic schizophrenia, drug-naive FES patients did not smoke more frequently than the general population. Furthermore, patients with psychotic disorders who smoked did not exhibit significant cognitive differences compared with those who did not smoke. However, smoking may have other detrimental effects on physical and mental health, for example on positive symptoms.

Cigarette Smoking and Health Characteristics in Individuals With Serious Mental Illness Enrolled in a Behavioral Weight Loss Trial

Objective: Cigarette smoking is the most preventable cause of disease and death in the US. We examined the prevalence of smoking and the association between smoking status and health characteristics in persons with serious mental illness. Methods: A total of 291 overweight or obese adults with serious mental illness were enrolled in a behavioral weight loss trial. Cigarette smoking, co-occurring medical diagnoses, dietary intake, blood pressure, cardiovascular fitness, body mass index, quality of life, and psychiatric symptoms were assessed at baseline in 2008-2011. Fasting glucose and lipid markers were measured from blood samples. Cardiovascular risk profile was calculated based on the global Framingham Health Study Risk Equation. Results: A total of 128 (44%) of participants were current smokers or had smoked in the previous one year. The smokers had significantly higher diastolic blood pressure and blood triglyceride levels, and lower HDL cholesterol than the nonsmokers, adjusted for age, sex, education, and diagnosis. They were more likely to have a history of emphysema, and had a 10-year cardiovascular disease risk of 13.2%, significantly higher than the 7.4% in the nonsmokers. The smokers also had elevated ratings of psychopathology on the BASIS-24 scale. Smokers did not differ from nonsmokers in cardiovascular fitness, body mass index, depression, quality of life, or other comorbid medical diagnoses. There was no characteristic in which smokers appeared healthier than nonsmokers. Conclusions: The prevalence of smoking in this contemporary cohort of individuals with serious mental illness who were motivated to lose weight was more than twice that in the overall population. Smokers had more indicators of cardiovascular disease and poorer mental health than did nonsmokers. The high burden of comorbidity in smokers with serious mental illness indicates a need for broad health interventions.

Role of Statistical Random-Effects Linear Models in Personalized Medicine

Some empirical studies and recent developments in pharmacokinetic theory suggest that statistical random-effects linear models are valuable tools that allow describing simultaneously patient populations as a whole and patients as individuals. This remarkable characteristic indicates that these models may be useful in the development of personalized medicine, which aims at finding treatment regimes that are appropriate for particular patients, not just appropriate for the average patient. In fact, published developments show that random-effects linear models may provide a solid theoretical framework for drug dosage individualization in chronic diseases. In particular, individualized dosages computed with these models by means of an empirical Bayesian approach may produce better results than dosages computed with some methods routinely used in therapeutic drug monitoring. This is further supported by published empirical and theoretical findings that show that random effects linear models may provide accurate representations of phase III and IV steady-state pharmacokinetic data, and may be useful for dosage computations. These models have applications in the design of clinical algorithms for drug dosage individualization in chronic diseases; in the computation of dose correction factors; computation of the minimum number of blood samples from a patient that are necessary for calculating an optimal individualized drug dosage in therapeutic drug monitoring; measure of the clinical importance of clinical, demographic, environmental or genetic covariates; study of drug-drug interactions in clinical settings; the implementation of computational tools for web-site-based evidence farming; design of pharmacogenomic studies; and in the development of a pharmacological theory of dosage individualization.