Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach

Associations of alcohol and cannabis use with change in posttraumatic stress disorder and depression symptoms over time in recently trauma-exposed individuals

BACKGROUND

Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.

METHODS

In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.

RESULTS

Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.

CONCLUSIONS

Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

Alcohol use disorder among healthcare professional students: a structural equation model describing its effect on depression, anxiety, and risky sexual behavior

BACKGROUND

Mental health problems such as depression, anxiety and alcohol use disorders are among the leading causes of disability worldwide. Among university students, alcohol use and poor mental health are associated with risky sexual behavior. Given the syndemic occurrence of these disorders most especially in young adults, we describe the relationship between them so as to guide and intensify current interventions on reducing their burden in this population.

METHODS

This was a cross-sectional study based on an online survey among healthcare professional university students that captured sociodemographic characteristics, risky sexual behavior, alcohol use disorder, generalized anxiety disorder, and depression. Structural equation modelling was used to describe the relationship between these variables using RStudio.

RESULTS

We enrolled a total of 351 participants of which 11% (37/351) had Alcohol Use Disorder, 33% (117/351) had depressive symptoms and 32% (111/351) had symptoms of anxiety. A model describing the relationship between these variables was found to fit well both descriptively and statistically [χ² = 44.437, df = 21, p-value = 0.01, CFI = 0.989, TFI = 0.980, RMSEA = 0.056]. All observed variables were found to fit significantly and positively onto their respective latent factors (AUD, anxiety, depression and risky sexual behavior). AUD was found to be significantly associated with risky sexual behavior (β = 0.381, P < 0.001), depression (β = 0.152, P = 0.004), and anxiety (β = 0.137, P = 0.001).

CONCLUSION

AUD, depression and anxiety are a significant burden in this health professional student population and there's need to consider screening for anxiety and depression in students reporting with AUD so as to ensure appropriate interventions. A lot of attention and efforts should be focused on the effect of AUD on risky sexual behavior and continued health education is still required even among health professional students.

Behavior change versus stability during the college-to-work transition: Life course and the "stickiness" of alcohol misuse at career entry

To what extent and under what conditions do college graduates disengage from employment-incompatible behaviors during the college-to-work transition? Drawing from the life course perspective, we proposed a model highlighting considerable stability of employment-incompatible behaviors during initial months of organizational socialization. Our model predicted that maturing out of such behaviors, which is expected by employers and beneficial to career adjustment, would be more likely to occur given a conducive transition context. Using a large dataset tracking graduates from their last semester in college to up to approximately 1.5 years after graduation and with alcohol use as our empirical referent, we demonstrated that a pattern of high-risk drinking behavior may remain even after the transition into full-time employment. We further showed that lower levels of perceived cohort drinking norms and higher levels of mentoring were associated with a higher probability of maturing out, manifesting in a transition from a high-risk drinking profile before graduation to a moderate drinking profile after starting full-time employment. Finally, we found that maturing out was associated with lagged outcomes including lower levels of sleep problems and depression and fewer work days lost to absenteeism, thus underscoring the consequential nature of behavior profile shifts during the college-to-work transition.

Effect of vortioxetine in subjects with major depressive and alcohol use disorders: a 6-month retrospective analysis

BACKGROUND

Major depressive disorder (MDD) and alcohol use disorder (AUD) are highly comorbid, with greater clinical complexity and psychosocial impairment. Several antidepressants have been used in this population, with mixed results. This preliminary study aims to investigate the effects of the multimodal antidepressant vortioxetine in MDD + AUD subjects.

METHODS

We retrospectively evaluated 57 MDD + AUD and 56 MDD outpatients, matched for baseline characteristics. Patients were assessed after 1, 3, and 6 months treatment with vortioxetine (10-20 mg/d, flexibly dosed) in combination with continuous psychosocial support. The primary outcome was improvement in depressive symptoms measured by the Montgomery-Åsberg Depression Rating Scale. We also investigated changes in anxiety, anhedonia, cognition, functioning, quality of life, and clinical global severity using the following instruments: Hamilton Anxiety Rating Scale, Snaith-Hamilton Pleasure Scale, Digit Symbol Substitution Test, Perceived Deficits Questionnaire-Depression, Functioning Assessment Short Test, Quality of Life Index, and Clinical Global Impression-Severity Scale.

RESULTS

Vortioxetine significantly improved mood in MDD + AUD patients (P < .001), with no differences when compared to MDD (P = .36). A substantial rate (45.6%) of comorbid subjects obtained clinical remission at endpoint (P = .36 vs MDD). We additionally observed baseline to endpoint improvements on all secondary outcomes (P < .001), with no significant difference between groups. Overall, vortioxetine was safe and well tolerated.

CONCLUSIONS

Given its effectiveness on mood, cognition, and functioning, its good safety and tolerability profile, and low potential for abuse, vortioxetine could represent a valid pharmacological intervention in MDD + AUD patients as part of an integrated therapeutic-rehabilitation program.

GABAA subunit single nucleotide polymorphisms show sex-specific association to alcohol consumption and mental distress in a Norwegian population-based sample

Little is known about genetic influences on the relationship between alcohol consumption and mental distress in the general population, where the majority report consumption and distress far below diagnostic thresholds. This study investigated single nucleotide polymorphisms (SNPs) from candidate gene studies on alcohol use disorder and depressive disorders, for association with alcohol consumption and with mental distress in a population-based sample from the Cohort of Norway (n = 1978, 49% women). The relationship between alcohol consumption and mental distress was further examined for genotype modification. There was a positive correlation between mental distress and alcohol consumption in men, as well as an association between SNPs and mental distress in men (GABRG1, GABRA2, DRD2, ANKK1, MTHFR) and women (CHRM2, MTHFR) and between SNPs and alcohol consumption in women (GABRA2, MTHFR). No modification by SNP genotype was found on the relationship between alcohol consumption and mental distress. The association between mental distress and GABRG1 in men remained significant after correcting for multiple comparisons. The results indicate that alcohol consumption and mental distress are associated in the general population even at levels below clinical thresholds and point to SNPs in genes related to GABAergic signalling for level of mental distress in men.

Alcohol drinking, especially light drinking, and depressive symptoms in adolescents

BACKGROUND

The association of depressive symptoms with moderate and heavy drinking in adolescents have been reported in many studies, but that with light drinking is unclear.

METHODS

In a 2012-13 school-based survey, 20,951 secondary school students (aged 11-20 years, 51.3 % boys) from 44 schools in Hong Kong reported their sociodemographic information, depressive symptoms, drinking patterns and other lifestyle factors. The associations of depressive symptoms with drinking status, drinking frequency and quantity, and the usual type of alcohol beverage consumed were examined using robust Poisson regression accounting for school clustering and covariates.

RESULTS

The prevalence of current drinking and depressive symptoms was 13.6 % and 19.0 %, respectively. Depressive symptoms were associated with former drinking (adjusted prevalence ratio 1.48, 95 % confidence interval 1.30-1.68) and measures of light drinking: experimental drinking (1.29, 1.19-1.39), less-than-monthly drinking (1.40, 1.18-1.67) and consuming half a drink or less (1.33, 1.12-1.58), and such associations were stronger in younger adolescents. Associations were also observed for light drinking patterns of 1-2 drinks less than monthly (1.72, 1.40-2.11) and half a drink monthly (1.51, 1.21-1.88). Consuming fruit wine (1.51, 1.27-1.79) and beer (1.63, 1.42-1.88) with relatively low alcohol contents was also associated with depressive symptoms.

CONCLUSIONS

Our study provided first evidence that even light drinking in terms of the amount, frequency and type of alcohol beverages or light drinking patterns such as consuming 1-2 drinks less than monthly and half a drink monthly were associated with depressive symptoms in adolescents. Our results support total alcohol abstinence in adolescents.

Association between Alcohol Drinking Status and Depressive Symptoms in Korean Adults

We investigated the association between alcohol drinking status and depressive symptoms in a representative sample of South Korean adults using data from the 2017 Korea Community Health Survey (KCHS), which included 216,771 participants (99,845 men and 116,926 women). Depression was defined as a Patient Health Questionnaire-9 score of ≥10. Multivariate logistic regression using sampling weights was used to assess the relationship between alcohol drinking status and depression after adjusting for potential confounders. Alcohol intake was nonlinearly associated with depression; the risk of depression was the lowest in men who were moderate drinkers and women who were light drinkers. In men, heavy drinkers (odds ratio [OR] 1.41, 95% confidence interval [CI] 1.19–1.67), light drinkers (OR 1.13, 95% CI 0.94–1.36), infrequent drinkers (OR 1.31, 95% CI 1.00–1.73), and lifetime abstainers (OR 1.38, 95% CI 1.09–1.75) were at a higher risk of depression than moderate drinkers. In women, moderate drinkers (OR 1.19, 95% CI 1.02–1.40) and heavy drinkers (OR 1.56, 95% CI 1.33–1.84) were at a higher risk of depression than light drinkers; however, infrequent drinkers and lifetime abstainers were not at a high risk of depression. In both men and women, former drinkers were at a higher risk of depression (OR 1.61, 95% CI 1.34–1.93 and OR 1.25, 95% CI 1.09–1.43, respectively). In conclusion, the association between alcohol drinking status and depression was nonlinear in both sexes. Further investigation of age- and sex-specific factors related to the association between alcohol use and depression is needed.

Is Exercise a Useful Intervention in the Treatment of Alcohol Use Disorder? Systematic Review and Meta-Analysis

OBJECTIVES

This systematic review and meta-analysis examined the effects of exercise on individuals with alcohol use disorders (AUDs) across multiple health outcomes.

DATA SOURCES

PubMed, Medline, Web of Science, Scopus, Academic Search complete, Sport Discuss, and ERIC databases.

STUDY INCLUSION AND EXCLUSION CRITERIA

Interventional studies published between 2000 and 2018 focused on evaluating the effectiveness of exercise interventions in adults with AUD.

DATA EXTRACTION

This protocol was prepared using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocols standard and the Meta-Analyses and Systematic Reviews of Observational Studies guidelines.

DATA SYNTHESIS

Physical activity levels/fitness [VO₂ max (Oxygen Uptake) and HRmax (Maximum Heart Rate)], levels of depression, anxiety, self-efficacy, quality of life, and alcohol consumption (number of standard drinks consumed per day and per week).

RESULTS

The findings indicated that exercise significantly improved physical fitness as assessed by VO₂ max (standardized mean difference [SMD]: 0.487, P < .05) and HRmax (SMD: 0.717, P < .05). Similarly, exercise significantly improved mental health as assessed by quality of life (SMD: 0.425, P < .05), but levels of depression, anxiety, self-efficacy, and alcohol consumption did not change significantly. Aerobic exercise alleviated depression and anxiety symptoms more than that of yoga and mixed types. Duration of exercise also had a similar effect on anxiety and depression.

CONCLUSIONS

Exercise can be an effective and persistent adjunctive treatment for individuals with AUDs.

Depression among Peruvian adults with hypertension and diabetes: Analysis of a national survey

BACKGROUND AND AIMS

Hypertension and diabetes are global health problems with an incidence that is rapidly increasing worldwide. Depression is the most frequent mental health co-morbidity and is considered an important risk factor for the development of both diseases. This study aimed to determine the prevalence and factors associated with depression among Peruvian adults with hypertension and diabetes.

METHODS

We performed a secondary analysis of the 2017 Peru Demographic and Family Health Survey, using data from 10,566 adults aged 40 and older. The main outcome was depression assessed with the Patient Health Questionnaire-9 (PHQ-9). Other important variables were the diagnosis of hypertension or diabetes, sex, age, level of education, geographical region, wealth index, daily smoking, harmful alcohol consumption and physical disability.

RESULTS

The overall prevalence of depression was 23.15% (CI 95%: 21.42%-24.88%) and among adults with hypertension and diabetes it was 34.96% (CI 95%: 29.33%-40.59%) and 35.56% (CI 95%: 24.49%-46.63%), respectively. Whereas the prevalence of depression among adults with type 2 diabetes mellitus (T2DM) was higher in the physical disability group (PRa: 1.28; CI 95%: 1.12-1.45), the prevalence of depression among adults with hypertension was higher in the female group (PRa: 1.36; CI 95%: 1.20-1.54) and among those with harmful alcohol consumption (PRa: 1.50; CI 95%: 1.01-2.24).

CONCLUSION

Peru has a considerable burden of depression in the hypertensive and diabetic populations. While the variables positively associated with depression in hypertensive adults were female gender and harmful alcohol consumption, in adults with diabetes it was the presence of physical disability.

Alcohol consumption predicts incidence of depressive episodes across 10 years among older adults in 19 countries

Alcohol consumption is increasing in many countries, and excessive alcohol consumption is particularly increasing among older adults. Excessive alcohol consumption causes morbidity and mortality, especially among older adults, including an increased risk of depressive episodes. We review the mechanisms through which alcohol consumption may affect depression, and argue that the effects of alcohol consumption on depressive episodes among older adults are understudied. We harmonized data among older adults (≥50 years) on alcohol consumption, depressive episodes, and an array of risk factors across 10 years and 19 countries (N=57,276). Alcohol consumption was categorized as current or long-term abstainer, occasional, moderate and heavy drinking at an average of 2.3 follow-up time points. Depressive episodes were measured through the CES-D or EURO-D. Multi-level Cox proportional frailty models in which the random effect has a multiplicative relationship to hazard were estimated with controls for co-occurring medical conditions, health behaviors, and demographics. Long-term alcohol abstainers had a higher hazard of depressive episodes (HR=1.14, 95% C.I. 1.08-1.21), as did those reporting occasional (HR=1.16, 95% C.I. 1.10-1.21) and heavy drinking (HR=1.22, 95% C.I. 1.13-1.30), compared with moderate drinking. Hazard ratios were attenuated in frailty models; heavy drinking, however, remained robustly associated in a random-effects model with a frailty component (HR=1.16, 95% C.I. 1.11-1.21). Interactions were observed by gender and smoking status: long-term abstainers, women's, and smokers' (HR for interaction, 1.04, 95% C.I. 1.00-1.07) hazards of depressive episodes increased more than what would be expected based on their multiplicative effects, when compared to moderate drinking, non-smoking men. Excessive alcohol consumption among older adults is a concern not only for physical, but also for mental health. Physician efforts to screen older adults for excessive alcohol use is critical for mental health to remain strong in aging populations.

Alcohol consequences, not quantity, predict major depression onset among first-year female college students

Alcohol use and its consequences have often been associated with depression, particularly among female college students. Interpretation of this association has been challenging due to potential reverse causation. The current study sought to clarify the temporality of these relationships. We examined: (1) the association between alcohol consumption and onset depression among female college students, and (2) the association between drinking consequences and onset depression among drinkers only. We used a prospective longitudinal design. Participants were first-year female college students who completed a baseline survey at study entry, and monthly assessments of alcohol consumption, drinking consequences, and depression symptoms. Cox proportional hazards regression with time-varying covariates were constructed among the full sample (N = 412) and the drinkers only sample (N = 335). Adjusted hazard ratios accounted for known risk factors for depression such as race/ethnicity, academic challenge, not getting along with one's roommate, sexual victimization prior to college, marijuana use, and socioeconomic status. For each additional average drink per week, adjusting for all covariates, there was no (95% CI: -4%, +4%) increased risk of onset depression. For each additional alcohol consequence, adjusting for all covariates, there was a 19% (95% CI: 5%, 34%) increased risk of onset depression. This significant relationship remained after adjusting for quantity of alcohol consumption. Quantity of alcohol consumed did not predict incident depression. However, experiencing alcohol consequences, regardless of consumption, did increase the risk of incident depression. College substance use and mental health interventions should aim to reduce not only alcohol consumption, but also alcohol-related consequences.

Hazardous alcohol use among patients with schizophrenia and depression

AIMS

The current study aimed to 1) report the prevalence of hazardous alcohol use in an outpatient population among those with schizophrenia and depressive disorders, 2) assess the sociodemographic and clinical correlates of hazardous alcohol use, 3) examine the association of hazardous alcohol use with severity of depression, anxiety and smoking, and 4) assess the association of hazardous alcohol use with quality of life.

METHODS

Three hundred ten outpatients seeking treatment at a tertiary psychiatric institute with a diagnosis of either schizophrenia spectrum disorder or depressive disorder were included in the study. Patients were assessed for hazardous alcohol use using the Alcohol Use Disorders Identification Test. Information on sociodemographic correlates, clinical history, severity of symptoms of depression and anxiety, as well as quality of life (QOL) was collected.

RESULTS

The overall prevalence of hazardous alcohol use among the sample was 12.6%. The prevalence of hazardous alcohol use among patients with depression and schizophrenia was 18.8% and 6.4%, respectively. Compared to those who were students, patients who were gainfully employed or unemployed were more likely to engage in hazardous alcohol use (Odds Ratio (OR) = 5.5 and 7.7, respectively). Patients with depression compared to those with schizophrenia (OR = 11.1) and those who were current smokers compared to those who had never smoked (OR = 14.5) were more likely to engage in hazardous alcohol use. Hazardous alcohol use was associated with lower QOL in the physical health domain (p = 0.002).

CONCLUSION

Given the significant prevalence of hazardous alcohol use in this population, routine screening for hazardous alcohol use and brief interventions could be an effective way of managing this comorbidity. There is a need to develop and evaluate culturally appropriate brief interventions based on patient preference in this setting.

Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression

Importance

Alcohol dependence (AD) and major depression (MD) are leading causes of disability that often co-occur. Genetic epidemiologic data have shown that AD and MD share a common possible genetic cause. The molecular nature of this shared genetic basis is poorly understood.

Objectives

To detect genetic risk variants for comorbid AD and MD and to determine whether polygenic risk alleles are shared with neuropsychiatric traits or subcortical brain volumes.

Design, Setting, and Participants

This genome-wide association study analyzed criterion counts of comorbid AD and MD in African American and European American data sets collected as part of the Yale-Penn study of the genetics of drug and alcohol dependence from February 14, 1999, to January 13, 2015. After excluding participants never exposed to alcohol or with missing information for any diagnostic criterion, genome-wide association studies were performed on 2 samples (the Yale-Penn 1 and Yale-Penn 2 samples) totaling 4653 African American participants and 3169 European American participants (analyzed separately). Tests were performed to determine whether polygenic risk scores derived from potentially related traits in European American participants could be used to estimate comorbid AD and MD.

Main Outcomes and Measures

Comorbid criterion counts (ranging from 0 to 14) for AD (7 criteria) and MD (9 criteria, scaled to 7) as defined by the DSM-IV.

Results

Of the 7822 participants (3342 women and 4480 men; mean [SD] age, 40.1 [10.7] years), the median comorbid criterion count was 6.2 (interquartile range, 2.3-10.9). Under the linear regression model, rs139438618 at the semaphorin 3A (SEMA3A [OMIM 603961]) locus was significantly associated with AD and MD comorbidity in African American participants in the Yale-Penn 1 sample (β = 0.89; 95% CI, 0.57-1.20; P = 2.76 × 10-8). In the independent Yale-Penn 2 sample, the association was also significant (β = 0.83; 95% CI, 0.39-1.28; P = 2.06 × 10-4). Meta-analysis of the 2 samples yielded a more robust association (β = 0.87; 95% CI, 0.61-1.12; P = 2.41 × 10-11). There was no significant association identified in European American participants. Analyses of polygenic risk scores showed that individuals with a higher risk of neuroticism (β = 1.01; 95% CI, 0.50-1.52) or depressive symptoms (β = 0.87; 95% CI, 0.32-1.42) and a lower level of subjective well-being (β = -0.94; 95% CI, -1.46 to -0.42) and educational attainment (β = -1.00, 95% CI, -1.57 to -0.44) had a higher level of AD and MD comorbidity, while larger intracranial (β = 1.07; 95% CI, 0.50 to 1.64) and smaller putamen volumes (β = -1.16; 95% CI, -1.86 to -0.46) were associated with higher risks of AD and MD comorbidity.

Conclusions and Relevance

SEMA3A variation is significantly and replicably associated with comorbid AD and MD in African American participants. Analyses of polygenic risk scores identified pleiotropy with neuropsychiatric traits and brain volumes. Further studies are warranted to understand the biological and genetic mechanisms of this comorbidity, which could facilitate development of medications and other treatments for comorbid AD and MD.

Exercise as treatment for alcohol use disorders: systematic review and meta-analysis

OBJECTIVES

To conduct a systematic review and meta-analysis investigating effects of exercise for people with alcohol use disorders (AUDs) across multiple health outcomes. We also investigated the prevalence and predictors of dropout from exercise studies in AUDs.

DESIGN

Systematic review and random effects meta-analysis with meta-regression analyses.

DATA SOURCES

3 major electronic databases were searched from inception until April 2016 for exercise intervention studies in adults with AUDs.

ELIGIBILITY CRITERIA

Studies of acute exercise in people with AUDs; and randomised and non-randomised trials examining effects of long-term (≥2 weeks) exercise.

RESULTS

21 studies and 1204 unique persons with AUDs (mean age 37.8 years, mean illness duration 4.4 years) were included. Exercise did not reduce daily alcohol consumption (standardised mean difference (SMD) =-0.886, p=0.24), or the Alcohol Use Disorders Identification Test (AUDIT) total scores (SMD=-0.378, p=0.18). For weekly consumption (n=3 studies), a statistically significant difference was observed favouring exercise (SMD=-0.656, p=0.04), but not after adjustment for publication bias (SMD=-0.16, 95% CI -0.88 to 0.55). Exercise significantly reduced depressive symptoms versus control (randomised controlled trials (RCTs) =4; SMD=-0.867, p=0.006, I²=63%) and improved physical fitness (VO₂) (RCTs=3; SMD=0.564, p=0.01, I²=46%). The pooled dropout rate was 40.3% (95% CI 23.3% to 60.1%) which was no different to control conditions (OR=0.73, p=0.52). Dropouts were higher among men (β=0.0622, p<0.0001, R²=0.82).

LIMITATIONS

It was not possible to investigate moderating effects of smoking.

CONCLUSIONS

Available evidence indicates exercise appears not to reduce alcohol consumption, but has significant improvements in other health outcomes, including depression and physical fitness. Additional long-term controlled studies of exercise for AUDs are required.

A bioinformatics approach reveals novel interactions of the OVOL transcription factors in the regulation of epithelial - mesenchymal cell reprogramming and cancer progression

Background

Mesenchymal to Epithelial Transition (MET) plasticity is critical to cancer progression, and we recently showed that the OVOL transcription factors (TFs) are critical regulators of MET. Results of that work also posed the hypothesis that the OVOLs impact MET in a range of cancers. We now test this hypothesis by developing a model, OVOL Induced MET (OI-MET), and sub-model (OI-MET-TF), to characterize differential gene expression in MET common to prostate cancer (PC) and breast cancer (BC).

Results

In the OI-MET model, we identified 739 genes differentially expressed in both the PC and BC models. For this gene set, we found significant enrichment of annotation for BC, PC, cancer, and MET, as well as regulation of gene expression by AP1, STAT1, STAT3, and NFKB1. Focusing on the target genes for these four TFs plus the OVOLs, we produced the OI-MET-TF sub-model, which shows even greater enrichment for these annotations, plus significant evidence of cooperation among these five TFs. Based on known gene/drug interactions, we prioritized targets in the OI-MET-TF network for follow-on analysis, emphasizing the clinical relevance of this work. Reflecting these results back to the OI-MET model, we found that binding motifs for the TF pair AP1/MYC are more frequent than expected and that the AP1/MYC pair is significantly enriched in binding in cancer models, relative to non-cancer models, in these promoters. This effect is seen in both MET models (solid tumors) and in non-MET models (leukemia). These results are consistent with our hypothesis that the OVOLs impact cancer susceptibility by regulating MET, and extend the hypothesis to include mechanisms not specific to MET.

Conclusions

We find significant evidence of the OVOL, AP1, STAT1, STAT3, and NFKB1 TFs having important roles in MET, and more broadly in cancer. We prioritize known gene/drug targets for follow-up in the clinic, and we show that the AP1/MYC TF pair is a strong candidate for intervention.

A prospective assessment of reports of drinking to self-medicate mood symptoms with the incidence and persistence of alcohol dependence

IMPORTANCE

Mood disorders and alcohol dependence frequently co-occur. Etiologic theories concerning the comorbidity often focus on drinking to self-medicate or cope with affective symptoms. However, there have been few, if any, prospective studies in population-based samples of alcohol self-medication of mood symptoms with the occurrence of alcohol dependence. Furthermore, it is not known whether these associations are affected by treatment or symptom severity.

OBJECTIVE

To evaluate the hypothesis that alcohol self-medication of mood symptoms increases the probability of subsequent onset and the persistence or chronicity of alcohol dependence.

DESIGN

Prospective study using face-to-face interviews-the National Epidemiologic Survey on Alcohol and Related Conditions.

SETTING

Nationally representative survey of the US population.

PARTICIPANTS

Drinkers at risk for alcohol dependence among the 43 093 adults surveyed in 2001 and 2002 (wave 1); 34 653 of whom were reinterviewed in 2004 and 2005 (wave 2).

MAIN OUTCOMES AND MEASURES

Association of alcohol self-medication of mood symptoms with incident and persistent DSM-IV alcohol dependence using logistic regression and the propensity score method of inverse probability of treatment weighting.

RESULTS

The report of alcohol self-medication of mood symptoms was associated with an increased odds of incident alcohol dependence at follow-up (adjusted odds ratio [AOR], 3.10; 95% CI, 1.55-6.19; P = .002) and persistence of dependence (AOR, 3.45; 95% CI, 2.35-5.08; P < .001). The population-attributable fraction was 11.9% (95% CI, 6.7%-16.9%) for incident dependence and 30.6% (95% CI, 24.8%-36.0%) for persistent dependence. Stratified analyses were conducted by age, sex, race/ethnicity, mood symptom severity, and treatment history for mood symptoms.

CONCLUSIONS AND RELEVANCE

Drinking to alleviate mood symptoms is associated with the development of alcohol dependence and its persistence once dependence develops. These associations occur among individuals with subthreshold mood symptoms, with DSM-IV affective disorders, and for those who have received treatment. Drinking to self-medicate mood symptoms may be a potential target for prevention and early intervention efforts aimed at reducing the occurrence of alcohol dependence.

Discovering gene-environment interactions in glioblastoma through a comprehensive data integration bioinformatics method

Glioblastoma multiforme (GBM) is the most common and aggressive type of human brain tumor. Although considerable efforts to delineate the underlying pathophysiological pathways have been made during the last decades, only very limited progress on treatment have been achieved because molecular pathways that drive the aggressive nature of GBM are largely unknown. Recent studies have emphasized the importance of environmental factors and the role of gene-environment interactions (GEI) in the development of GBM. Factors such as small sample sizes and study costs have limited the conduct of GEI studies in brain tumors however. Additionally, advances in high-throughput microarrays have produced a wealth of information concerning molecular biology of glioma. In particular, microarrays have been used to obtain genetic and epigenetic changes between normal non-tumor tissue and glioma tissue. Due to the relative rarity of gliomas, microarray data for these tumors is often the product of small studies, and thus pooling this data becomes desirable. To address the challenge of small sample sizes and GEI study difficulties, we introduce a comprehensive bioinformatics method using genetic variations (copy number variations and small-scale variations) and environmental data integration that links with glioblastoma (GEG) to identify: (1) genes that interact with chemicals and have genetic variants linked to the development of GBM, (2) important pathways that may be influenced by environmental exposures (or endogenous chemicals), and (3) genes with variants in GBM that have been understudied in relation to GBM development. The first step in our GEG method identified genes responsive to environmental exposures using the Environmental Genome Project, Comparative Toxicology, and Seattle SNPs databases. These environmentally responsive genes were then compared to a curated list of genes containing copy number variation and/or mutations in GBM. This comparison produced a list of genes responsive to the environment and important to GBM that was then further analyzed using gene networking tools such as RSpider, Cytoscape, and DAVID. Using this GEG bioinformatics method we were able to identify 173 genes with the potential to be involved in GEI that may be important to the development of GBM. Sixty five of these environmentally responsive genes have not been reported as important to GBM development, despite several of them having substantial potential for response to chemicals and subsequent disease related actions. The main biological functions of these 173 genes include signaling by nerve growth factor, DNA repair, integrin cell surface interactions, biological oxidations, apoptosis, synaptic transmission, cell cycle checkpoints, and arachidonic acid metabolism. Importantly, some of these functions have been implicated in the development of several cancers, including glioma. In summary, our GEG bioinformatics approach revealed potential gene-environment interactions, and generated new data for hypothesis generation, in GBM.

Association between polymorphic sites in thymidylate synthase gene and risk of non-Hodgkin lymphoma: a systematic review and pooled analysis

Epidemiological studies have evaluated the association between polymorphic sites in the thymidylate synthase (TYMS) gene and non-Hodgkin lymphoma (NHL) risk, but the results remain controversial. Here we performed a meta-analysis to estimate the relationship between TYMS polymorphisms and the risk of NHL and two of its subtypes from all nine published case-control studies. Our meta-analysis suggested that both 1053C > T and IVS6-68C >T polymorphisms were significantly associated with decreased risks of NHL among Caucasians (for 1053C > T: TT vs. CC, odds ratio [OR] = 0.78, 95% confidence interval [CI] = 0.64-0.95; recessive model, OR = 0.81, 95% CI = 0.67-0.98 and for IVS6 - 68C > T: TT vs. CC, OR = 0.61, 95% CI = 0.40-0.92; recessive model, OR = 0.63, 95% CI = 0.42-0.93), whereas the TSER, 1122A > G and 1494del6 polymorphisms had no influence on the susceptibility to NHL. Further analysis revealed that the T allele of the 1053C > T polymorphism might provide protective effects in Caucasians against the risk of NHL (OR = 0.90, 95% CI = 0.82-0.98) and follicular lymphoma (FL) (OR = 0.81, 95% CI = 0.71-0.93), but not diffuse large B-cell lymphoma (DLBCL). Additionally, the IVS6 - 68C > T variant homozygote genotype was significantly associated with reduced risks for DLBCL (TT vs. CC: OR = 0.51, 95% CI = 0.28-0.94; recessive model: OR = 0.53, 95% CI = 0.29-0.96), but not FL. However, individuals carrying the T allele of the IVS6 - 68C > T polymorphism were not significantly associated with reduced risks for DLBCL and FL.

The Association between Alcohol Dependence and Depression before and after Treatment for Alcohol Dependence

The presence of depression in alcohol-dependent persons is likely to influence treatment process and outcomes. Identification of depression is important though not every depressed alcohol-dependent person requires treatment with antidepressants. Understanding the association between depression and alcohol dependence is essential for proper management of alcohol dependence. Objectives. To determine the prevalence of depression among alcohol-dependent persons before and after alcohol detoxification and rehabilitation. Design. Clinical trial with pre-/postmeasurements. Method. The CIDI and WHO-ASSIST were administered to 188 alcohol-dependent persons at intake and after six months. A researcher-designed sociodemographic questionnaire was also administered at intake. Results. The prevalence of depression among alcohol-dependent persons is high (63.8%) with a significant association between depression and the mean AUDIT score. At posttest, depressed participants had a statistically significant craving for alcohol. Conclusion. Alcohol dependence is associated with major depression.

Gender differences in the relationship between alcohol use and depressive symptoms in St. Petersburg, Russia

BACKGROUND: Gender differences in the relationship between alcohol use and depressive symptoms are inconsistent, and few studies have addressed this issue in Russia. Because this finding may have important implications for interventions to reduce alcohol misuse or alcohol related problems in Russia, we conducted a study to investigate whether the association between alcohol use and depressive symptoms differs by gender at high risk for HIV. METHODS: We used the Alcohol Use Disorders Identification Test (AUDIT) and the 10-item Center for Epidemiological Studies Depression Scale to measure alcohol use and depressive symptoms among 307 patients who attended a clinic for sexually transmitted infections in St. Petersburg, Russia. Logistic regression models were applied for the analysis. RESULTS: The comparison of data between men and women revealed a significant quadratic term of alcohol use and significant interactions between alcohol use and gender on depressive symptoms. Men with an AUDIT score in the first and fourth quartiles were more likely to report depressive symptoms in comparison to men in the second quartile. Their odds ratios (ORs) and 95% confidence intervals (CIs) were 7.54 (2.00-28.51) and 5.06 (1.31-19.63), respectively. Among women, a linear trend was observed such that those who misused alcohol were three times more likely to have depressive symptoms than those who did not misuse alcohol (OR = 3.03, 95% CI, 1.05-8.80). CONCLUSION: The association between alcohol use and depressive symptoms differed by gender. Additional research is needed to investigate this relationship in Russia. Strategies to reduce alcohol-related problems in Russia may need to consider these differences.

Overlap of genetic influences in phenotypes classically categorized as psychiatric vs medical disorders

Psychiatric disorders have traditionally been segregated from medical disorders in terms of drugs, treatment, insurance coverage and training of clinicians. This segregation is consistent with the long-standing observation that there are inherent differences between psychiatric disorders (diseases relating to thoughts, feelings and behavior) and medical disorders (diseases relating to physical processes). However, these differences are growing less distinct as we improve our understanding of the roles of epistasis and pleiotropy in medical genetics. Both psychiatric and medical disorders are predisposed in part by genetic variation, and psychiatric disorders tend to be comorbid with medical disorders. One hypothesis on this interaction posits that certain combinations of genetic variants (epistasis) influence psychiatric disorders due to their impact on the brain, but the associated genes are also expressed in other tissues so the same groups of variants influence medical disorders (pleiotropy). The observation that psychiatric and medical disorders may interact is not novel. Equally, both epistasis and pleiotropy are fundamental concepts in medical genetics. However, we are just beginning to understand how genetic variation can influence both psychiatric and medical disorders. In our recent work, we have discovered gene networks significantly associated with psychiatric and substance use disorders. Invariably, these networks are also significantly associated with medical disorders. Recognizing how genetic variation can influence both psychiatric and medical disorders will help us to understand the etiology of the individual and comorbid disease phenotypes, predict and minimize side effects in drug and other treatments, and help to reduce stigma associated with psychiatric disorders.

Approaches to understanding adaptations of skin color variation by detecting gene-environment interactions

Genetic and environmental factors are both part of an elaborate feedback mechanism whereby the human adaptive form reacts to environmental stimuli via internal adjustments. Human survival may ultimately depend on understanding two important components of future environmental adaptation. First, we must elucidate the dynamics of the human genome underpinning the complex human phenotype. Second, we must understand how the environment pressures and affects the genome, helping to determine human traits. This article reviews current approaches to detecting the natural selection of skin color variation in human populations. We include statistical methods for clarifying gene-environment interactions applicable to the interactions with UV radiation levels. We recommend spatial data mining as an efficient approach that applies environmental association rules, extending our knowledge of adaptation to the environment.

Alcohol and depression

AIMS

To examine the literature on the associations between alcohol use disorders (AUD) and major depression (MD), and to evaluate the evidence for the existence of a causal relationship between the disorders.

METHODS

PsycInfo; PubMed; Embase; Scopus; ISI Web of Science database searches for studies pertaining to AUD and MD from the 1980 to the present. Random-effects models were used to derive estimates of the pooled adjusted odds ratios (AOR) for the links between AUD and MD among studies reporting an AOR.

RESULTS

The analysis revealed that the presence of either disorder doubled the risks of the second disorder, with pooled AORs ranging from 2.00 to 2.09. Epidemiological data suggest that the linkages between the disorders cannot be accounted for fully by common factors that influence both AUD and MD, and that the disorders appear to be linked in a causal manner. Further evidence suggests that the most plausible causal association between AUD and MD is one in which AUD increases the risk of MD, rather than vice versa. Potential mechanisms underlying these causal linkages include neurophysiological and metabolic changes resulting from exposure to alcohol. The need for further research examining mechanisms of linkage, gender differences in associations between AUD and MD and classification issues was identified.

CONCLUSIONS

The current state of the literature suggests a causal linkage between alcohol use disorders and major depression, such that increasing involvement with alcohol increases risk of depression. Further research is needed in order to clarify the nature of this causal link, in order to develop effective intervention and treatment approaches.

A genetic network model of cellular responses to lithium treatment and cocaine abuse in bipolar disorder

Background

Lithium is an effective treatment for Bipolar Disorder (BD) and significantly reduces suicide risk, though the molecular basis of lithium's effectiveness is not well understood. We seek to improve our understanding of this effectiveness by posing hypotheses based on new experimental data as well as published data, testing these hypotheses in silico, and posing new hypotheses for validation in future studies. We initially hypothesized a gene-by-environment interaction where lithium, acting as an environmental influence, impacts signal transduction pathways leading to differential expression of genes important in the etiology of BD mania.

Results

Using microarray and rt-QPCR assays, we identified candidate genes that are differentially expressed with lithium treatment. We used a systems biology approach to identify interactions among these candidate genes and develop a network of genes that interact with the differentially expressed candidates. Notably, we also identified cocaine as having a potential influence on the network, consistent with the observed high rate of comorbidity for BD and cocaine abuse. The resulting network represents a novel hypothesis on how multiple genetic influences on bipolar disorder are impacted by both lithium treatment and cocaine use. Testing this network for association with BD and related phenotypes, we find that it is significantly over-represented for genes that participate in signal transduction, consistent with our hypothesized-gene-by environment interaction. In addition, it models related pharmacogenomic, psychiatric, and chemical dependence phenotypes.

Conclusions

We offer a network model of gene-by-environment interaction associated with lithium's effectiveness in treating BD mania, as well as the observed high rate of comorbidity of BD and cocaine abuse. We identified drug targets within this network that represent immediate candidates for therapeutic drug testing. Posing novel hypotheses for validation in future work, we prioritized SNPs near genes in the network based on functional annotation. We also developed a "concept signature" for the genes in the network and identified additional candidate genes that may influence the system because they are significantly associated with the signature.

Medication treatment of different types of alcoholism

Alcoholism remains a serious cause of morbidity and mortality despite progress through neurobiological research in identifying new pharmacological strategies for its treatment. Drugs that affect neural pathways that modulate the activity of the cortico-mesolimbic dopamine system have been shown to alter drinking behavior, presumably because this dopaminergic system is closely associated with rewarding behavior. Ondansetron, naltrexone, topiramate, and baclofen are examples. Subtyping alcoholism in adults into an early-onset type, with chronic symptoms and a strong biological predisposition to the disease, and a late-onset type, typically brought on by psychosocial triggers and associated with mood symptoms, may help in the selection of optimal therapy. Emerging adults with binge drinking patterns also might be aided by selective treatments. Although preliminary work on the pharmacogenetics of alcoholism and its treatment has been promising, the assignment to treatment still depends on clinical assessment. Brief behavioral interventions that encourage the patient to set goals for a reduction in heavy drinking or abstinence also are part of optimal therapy.

CLOCK is suggested to associate with comorbid alcohol use and depressive disorders

Background

Depression and alcohol abuse or dependence (AUD) co-occur in the general population more frequently than expected by chance. Alcohol use influences the circadian rhythms generated by the central pacemaker in the suprachiasmatic nucleus, and circadian rhythm alterations in turn are common in depressive disorders as well as among persons addicted to alcohol.

Methods

32 SNPs in 19 circadian clockwork related genes were analyzed using DNA from 76 individuals with comorbid depression and AUD, 446 individuals with AUD and 517 healthy controls with no psychiatric diagnosis. The individuals participated in a nationwide health examination study, representative of the general population aged 30 and over in Finland.

Results

The CLOCK haplotype TTGC formed by SNPs rs3805151, rs2412648, rs11240 and rs2412646, was associated with increased risk for comorbidity (OR = 1.65, 95% CI = 1.14-2.28, P = 0.0077). The SNPs of importance for this suggestive association were rs2412646 and rs11240 indicating location of the functional variation in the block downstream rs2412648. There was no indication for association between CLOCK and AUD.

Conclusion

Our findings suggest an association between the CLOCK gene and the comorbid condition of alcohol use and depressive disorders. Together with previous reports it indicates that the CLOCK variations we found here may be a vulnerability factor to depression given the exposure to alcohol in individuals having AUD.

Putative Role of MicroRNA-Regulated Pathways in Comorbid Neurological and Cardiovascular Disorders

Background. The conserved noncoding microRNAs (miRNAs) that function to regulate gene expression are essential for the development and function of the brain and heart. Changes in miRNA expression profiles are associated with an increased risk for developing neurodegenerative disorders as well as heart failure. Here, the hypothesis of how miRNA-regulated pathways could contribute to comorbid neurological and cardiovascular disorders will be discussed. Presentation. Changes in miRNA expression occurring in the brain and heart could have an impact on coexisting neurological and cardiovascular characteristics by (1) modulating organ function, (2) accentuating cellular stress, and (3) impinging on neuronal and/or heart cell survival. Testing. Evaluation of miRNA expression profiles in the brain and heart tissues from individuals with comorbid neurodegenerative and cardiovascular disorders will be of great importance and relevance. Implications. Careful experimental design will shed light to the deeper understanding of the molecular mechanisms tying up those different but yet somehow connected diseases.

Comorbidity of bipolar disorder with substance abuse: selection of prioritized genes for translational research

Bipolar disorder is a highly heritable mental illness. The global burden of bipolar disorder is complicated by its comorbidity with substance abuse. Several genome-wide linkage/association studies on bipolar disorder as well as substance abuse have focused on the identification and/or prioritization of candidate disease genes. A useful step for translational research of these identified/prioritized genes is to identify sets of genes that have particular kinds of publicly available data. Therefore, we have leveraged the availability of links to related resources in the Entrez Gene database to develop a web-based resource for selecting genes based on presence or absence in particular biological data resources. The utility of our approach is demonstrated using a set of 3,399 genes from multiple eukaryotes that have been studied in the context of bipolar disorder and/or substance abuse. A web resource to automate the selection of genes that contain certain database links is available at http://compbio.jsums.edu/bpd.