The role of metabolic syndrome as a mediator in the relationship between CCL11 levels and the presence of a mood episode with mixed features in young adults with bipolar disorder.

Mixed features presentation in bipolar disorder (BD) represents the most severe form of the disease. BD may lead to cognitive and functional deterioration, a process known as neuroprogression, which appears to be exacerbated by increased serum levels of CCL11, a neuroprogression-related cytokine. Metabolic syndrome (MetS) is highly prevalent in BD, and it is known that the presence of MetS may increase inflammation, which may contribute to increased CCL11 levels, and consequently impact on the severity of the disorder. What is not known is whether the MetS mediates the association between CCL11 levels and the presence of mood episodes with mixed features in BD. Therefore, the aim of this study was to investigate the mediating effect of MetS on the relationship between CCL11 levels and the presence of mood episodes with mixed features in BD, in a population-based study. This is a cross-sectional study that included 184 young adults, 92 with BD and 92 populational controls, matched by sex and age. BD diagnosis was assessed using the Mini International Neuropsychiatric Interview - PLUS. Mood episodes with mixed features was defined according to DSM-IV and DSM-5 criteria. MetS was defined according to the National Cholesterol Education Program (NCEP/ATP III). Substance use was assessed through the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). CCL11 serum levels were analyzed using the multiplex analysis method Luminex 200™ system. The mediation model was tested using the MedMod module of the JAMOVI 2.4.8 software. Mediation analysis indicated a trend towards significance of MetS mediating the association between CCL11 and the presence of a mood episode with mixed features in BD (p = 0.065). Individuals with BD presenting with a mood episode with mixed features and MetS may have accelerated neuroprogression due to the influence of MetS on CCL11 levels, therefore, assessing for MetS occurrence in this population and implementing early interventions to prevent its development may be effective ways of delaying cognitive impairments related to this cytokine.

Drug Repurposing and Personalized Treatment Strategies for Bipolar Disorder Using Transcriptomic.

OBJECTIVE: The present study combined transcriptomic data and computational techniques based on gene expression signatures to identify novel bioactive compounds or FDA-approved drugs for the management of Bipolar Disorder (BD). METHODS: Five transcriptomic datasets, comprising a total of 165 blood samples from BD case-control, were selected from the Gene Expression Omnibus repository (GEO). The number of subjects varied from 6 to 60, with a mean age ranging from 35 to 48, with a gender variation between them. Most of the patients were on pharmacological treatment. Master Regulator Analysis (MRA) and Gene Set Enrichment Analysis (GSEA) were performed to identify statistically significant genes between BD and HC and their association with the mood states of BD. Additionally, existing molecules with the potential to reverse the transcriptomic profiles of disease-altered regulons in BD were identified using the LINCS and cMap databases. RESULTS: MRA identified 59 potential MRs candidates modulating the regulatory units enriched with genes altered in BD, while the GSEA identified 134 enriched genes, and a total of 982 regulons had their activation state determined. Both analyses showed genes exclusively associated with mania, depression, or euthymia, and some genes were common between the three mood states. We identified bioactive compounds and licensed drug candidates, including antihypertensives and antineoplastics, as promising candidates for treating BD. Nevertheless, experimental validation is essential to authenticate these findings in subsequent studies. CONCLUSION: Although preliminary, our data provides some insights regarding the biological patterns of BD into distinct mood states and potential therapeutic targets. The combined transcriptomic and bioinformatics strategy offers a route to advance drug discovery and personalized medicine by tapping into gene expression information.

Perinatal factors as risk factors of bipolar disorder onset in young adulthood: a 22-year birth cohort.

BACKGROUND: Bipolar disorder (BD) is a leading cause of disability-adjusted life years in young adults. Complications during prenatal periods have been associated with BD previously. The study aims to examine the association between perinatal factors and BD in order to prevent the risk of developing BD. METHODS: 3,794 subjects from the 1993 Pelotas population-based birth cohort study were included. We assessed 27 initial variables at birth and modelled BD onset at 18 and 22 years. We performed bivariate analysis, using binomial logistic regression models. The variables with p-value smaller than 0.05 were included into a multiple regression with confounding variables. RESULTS: Maternal smoking was associated with a 1.42-fold increased risk of BD at 18 or 22 years old (95% CI: 1.091-1.841), and maternal passive exposure to tobacco with a 1.43-fold increased risk (95% CI: 1.086-1.875). No association was found between other perinatal factors and BD after controlling for confounding factors. CONCLUSION: The results of this cohort corroborate with previous findings in the literature that already indicate the negative outcomes of maternal smoking during pregnancy. They may now be linked to other studies to target these factors for preventing the development of BD.

Psychological resilience and mood disorders: a systematic review and meta-analysis

Abstract Objective This systematic review aims to describe the relationship between psychological resilience and mood disorders. Methods This is a systematic review and meta-analysis. The following databases were searched on November 6, 2020: PubMed, PsycINFO, and Embase. Results Twenty-three articles were included and the majority of the studies included (95.7%) showed that psychological resilience has a positive impact in mood disorders. Our meta-analysis showed that individuals with bipolar disorder presented significantly lower levels of psychological resilience compared to controls (standardized mean difference [SDM]: -0.99 [95% confidence interval {95%CI}: -1.13 to -0.85], p < 0.001). In addition, individuals with depression had significantly lower levels of psychological resilience compared to controls (SDM: -0.71 [95%CI -0.81 to -0.61], p < 0.001). Conclusion Our results showed that individuals with mood disorders are less resilient than individuals without mood disorders. Our findings reinforce the importance of investigating interventions that may help to improve psychological resilience considering its positive impact in the context of mood disorders.

Perinatal risk factors for the onset of bipolar disorder in young adulthood: a 22-year birth cohort

Objective: Bipolar disorder (BD) is a major cause of disability-adjusted life years in young adults. Pregnancy complications have previously been associated with BD. The current study aimed to examine the association between perinatal factors and BD. Methods: We included 3,794 subjects from the 1993 Pelotas population-based birth cohort study. We assessed 27 variables at birth and modeled BD onset at 18 and 22 years. Bivariate analysis was performed by means of binomial logistic regression models. The variables with p-values less than 0.05 were included in a multiple regression with confounders. Results: Maternal smoking was associated with a 1.42-fold increased risk of BD at 18 or 22 years old (95%CI 1.091-1.841), and maternal passive exposure to tobacco with a 1.43-fold increased risk (95%CI 1.086-1.875). No association was found between other perinatal factors and BD after controlling for confounders. Conclusion: The results of the present cohort study corroborate previous reports in the literature indicating a negative effects of maternal smoking during pregnancy. These findings can be further tested and support the development of strategies to prevent the onset development of BD.

Childhood trauma, inflammatory biomarkers and the presence of a current depressive episode: Is there a relationship in subjects from a population study?

This study aims to compare the serum cytokine levels between controls, individuals with a current depressive episode (CDE) with childhood trauma and individuals with CDE without childhood trauma. This is a cross-sectional with paired sample nested in a population-based study. For the purposes of the current study, subjects who had psychotic symptoms, generalized anxiety disorder, and who refused to perform blood collection were excluded. Subsequently, only individuals who had a current depressive episode were selected (n = 76). Another 76 subjects were randomly paired by sex and age, constituting a population control group. The measurements of serum cytokine levels were performed using the multiplex analysis method. In the group with a CDE, when compared to the population control group, the following cytokines were high: IL-1ß, IL-2, IL-4, IL-6, IL-17A, IFN-γ and TNF-α (p < 0.05). On the other hand, there was a decrease in the levels of cytokines IL-10 (p = 0.027) and IL12p70 (p = 0.001). Bonferroni test demonstrates that there is no statistically significant difference in serum cytokine levels between subjects with a CDE, with and without trauma (p > 0.05). In a multivariable logistic regression, adjusting for socioeconomic status, tobacco, alcohol and illicit drugs abuse/dependence, and use of psychiatric medication, we found that cytokines serum levels remained associated with CDE even when adjusted for these potential confounders. Our findings demonstrate that monitoring cytokine levels and immune function may be beneficial in preventing the development of a CDE. However, future research is necessary to investigate the impact of trauma on the relationship between inflammation and CDE.

Predictors of illicit substance abuse/dependence during young adulthood: A machine learning approach.

Prior studies have found an especially high prevalence of illicit substance use among adolescents and young adults in Brazil. The current study aimed to employ machine learning techniques to identify predictors of illicit substance abuse/dependence among a large community sample of young adults followed for 5 years. This prospective, population-based cohort study included a sample of young adults between the ages of 18-24 years from Pelotas, Brazil at baseline (T1). The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was used to assess illicit substance abuse/dependence. A clinical interview was conducted to collect data on sociodemographic characteristics and psychopathology. Elastic net was used to generate a regularized linear model for the machine learning component of this study, which followed standard machine learning protocols. A total of 1560 young adults were assessed at T1, while 1244 were reassessed at the 5-year follow-up period (T2). The strongest predictors of illicit substance abuse/dependence at baseline (AUC of 0.83) were alcohol abuse/dependence, tobacco abuse/dependence, being in a current major depressive episode, history of a lifetime manic episode, current suicide risk, and male sex. The strongest predictors for illicit substance abuse/dependence at the 5-year follow-up (AUC: 0.79) were tobacco abuse/dependence at T1, history of a lifetime manic episode at T1, male sex, alcohol abuse/dependence at T1, and current suicide risk at T1. Our findings indicate that machine learning techniques hold the potential to predict illicit substance abuse/dependence among young adults using sociodemographic/clinical characteristics, with relatively high accuracy.

Brain-derived neurotrophic factor serum levels following ketamine and esketamine intervention for treatment-resistant depression: secondary analysis from a randomized trial

Abstract Objectives Evidence suggests that ketamine's influence on brain-derived neurotrophic factor (BDNF) might be involved in its mechanism of rapid antidepressant action. We aimed to evaluate the differential impact of ketamine and esketamine on serum BDNF levels and its association with response patterns in treatment-resistant depression (TRD). Methods Participants (n = 53) are from a randomized, double-blind clinical trial comparing the efficacy of single-dose ketamine (0.5mg/kg, n = 27) and esketamine (0.25mg/kg, n = 26) in TRD. Depression severity was assessed before and 24 hours, 72 hours, and 7 days after the intervention, using the Montgomery-Åsberg Depression Rating Scale (MADRS). Blood samples were collected before infusion, 24 hours, and 7 days afterwards. Results There were no significant changes in BDNF levels at post-infusion evaluation points, and no difference in BDNF levels comparing ketamine and esketamine. Both drugs exhibited similar therapeutic effect. There was no association between BDNF levels and response to treatment or severity of depressive symptoms. Conclusion There was no significant treatment impact on BDNF serum levels - neither with ketamine nor esketamine - despite therapeutic response. These results suggest that ketamine or esketamine intervention for TRD has no impact on BDNF levels measured at 24 hours and 7 days after the infusion. This clinical trial is registered on the Japan Primary Registries Network: UMIN000032355.

Underage drinking in Brazil: findings from a community household survey

Objectives: Previous studies have estimated the 30-day prevalence of alcohol use to be approximately 21% among youth in Brazil, despite the legal drinking age of 18 years. The present study aimed to determine the prevalence of underage drinking and its associated factors among adolescents in Brazil. Methods: The 3rd National Survey on Drug Use by the Brazilian Population (III Levantamento Nacional sobre o Uso de Drogas pela População Brasileira) is a nationwide, multi-stage, probability-sample household survey. Herein, youth between the ages of 12-17 years were included. Lifetime and 12-month alcohol use prevalence were estimated. Factors associated with 12-month alcohol use were evaluated through multivariate analysis considering survey weights and design. Results: Overall, 628 youth were interviewed. Estimated lifetime and 12-month alcohol use were 34.3% (standard error [SE] = 1.9) and 22.2% (SE = 1.7), respectively. Factors associated with 12-month drinking were: other/no religion vs. Christianity; living in rural vs. urban areas; self-reported diagnosis of depression vs. no self-reported depression; lifetime tobacco use vs. no history of tobacco use; and any illicit drug use vs. no history of illicit drug use. Conclusion: Considering that alcohol use is a major risk factor for early death among Brazilian youth, our findings highlight the importance of preventative measures to reduce underage drinking.

Suicide attempt, impulsivity, and exposure to trauma in college students

Objectives: Past suicide attempt (SA) is one of the most important risk factors for suicide death. An ideation-to-action framework posits that impulsivity, potentially traumatic events, and mental disorders also play a role in increasing suicide risk. This study aimed to assess the association between trait impulsivity, lifetime exposure to trauma, and post-traumatic stress disorder (PTSD) with SA in a sample of Brazilian college students. Methods: A total of 2,137 participants filled self-reported questionnaires consisting of a sociodemographic and clinical questionnaire, Trauma History Questionnaire, Post-Traumatic Stress Disorder Checklist - Civilian version, and Barratt Impulsiveness Scale. Results: Our findings suggest that trait impulsivity may be interpreted as exerting a distal effect on SA, even in the presence of other variables - such as trauma history, psychological neglect, and PTSD - which also increase the odds of SA. High and medium levels of impulsivity, history of trauma, and PTSD increased the likelihood of SA. Conclusions: Intervention strategies to prevent SA may target trait impulsivity and exposure to traumatic experiences.

Inflammatory and oxidative stress markers in post-traumatic stress disorder: a systematic review and meta-analysis.

Post-traumatic stress disorder (PTSD) has been associated with persistent, low-degree inflammation, which could explain the increased prevalence of autoimmune conditions and accelerated aging among patients. The aim of the present study is to assess which inflammatory and oxidative stress markers are associated with PTSD. We carried out a meta-analytic and meta-regression analysis based on a systematic review of studies comparing inflammatory and oxidative stress markers between patients with PTSD and controls. We undertook meta-analyses whenever values of inflammatory and oxidative stress markers were available in two or more studies. Overall, 28,008 abstracts were identified, and 54 studies were included, with a total of 8394 participants. The Newcastle-Ottawa Quality Assessment Scale was used to evaluate the quality of the studies. Concentrations of C-reactive protein (SMD = 0.64; 95% CI: 0.21 to 1.06; p = 0.0031; k = 12), interleukin 6 (SMD = 0.94; 95% CI: 0.36 to 1.52; p = 0.0014; k = 32), and tumor necrosis factor-α (SMD = 0.89; 95% CI: 0.23 to 1.55; p = 0.0080; k = 24) were significantly increased in patients with PTSD in comparison with healthy controls. Interleukin 1ß levels almost reached the threshold for significance (SMD = 1.20; 95% CI: -0.04 to 2.44; p = 0.0569; k = 15). No oxidative stress marker was associated with PTSD. These findings may explain why PTSD is associated with accelerated aging and illnesses in which immune activation has a key role, such as cardiovascular diseases and diabetes. In addition, they pointed to the potential role of inflammatory markers as therapeutic targets.

Physician suicide demographics and the COVID-19 pandemic

Objective: To identify suicide rates and how they relate to demographic factors (sex, race and ethnicity, age, location) among physicians compared to the general population when aggravated by the coronavirus disease 2019 (COVID-19) pandemic. Methods: We searched U.S. databases to report global suicide rates and proportionate mortality ratios (PMRs) among U.S. physicians (and non-physicians in health occupations) using National Occupational Mortality Surveillance (NOMS) data and using Wide-ranging Online Data for Epidemiologic Research (WONDER) in the general population. We also reviewed the effects of age, suicide methods and locations, COVID-19 considerations, and potential solutions to current challenges. Results: Between NOMS1 (1985-1998) and NOMS2 (1999-2013), the PMRs for suicide increased in White male physicians (1.77 to 2.03) and Black male physicians (2.50 to 4.24) but decreased in White female physicians (2.66 to 2.42). Conclusions: The interaction of non-modifiable risk factors, such as sex, race and ethnicity, age, education level/healthcare career, and location, require further investigation. Addressing systemic and organizational problems and personal resilience training are highly recommended, particularly during the additional strain from the COVID-19 pandemic.

Underage drinking in Brazil: findings from a community household survey.

OBJECTIVES: Previous studies have estimated the 30-day prevalence of alcohol use to be approximately 21% among youth in Brazil, despite the legal drinking age of 18 years. The present study aimed to determine the prevalence of underage drinking and its associated factors among adolescents in Brazil. METHODS: The 3rd National Survey on Drug Use by the Brazilian Population (III Levantamento Nacional sobre o Uso de Drogas pela População Brasileira) is a nationwide, multi-stage, probability-sample household survey. Herein, youth between the ages of 12-17 years were included. Lifetime and 12-month alcohol use prevalence were estimated. Factors associated with 12-month alcohol use were evaluated through multivariate analysis considering survey weights and design. RESULTS: Overall, 628 youth were interviewed. Estimated lifetime and 12-month alcohol use were 34.3% (standard error [SE] = 1.9) and 22.2% (SE = 1.7), respectively. Factors associated with 12-month drinking were: other/no religion vs. Christianity; living in rural vs. urban areas; self-reported diagnosis of depression vs. no self-reported depression; lifetime tobacco use vs. no history of tobacco use; and any illicit drug use vs. no history of illicit drug use. CONCLUSION: Considering that alcohol use is a major risk factor for early death among Brazilian youth, our findings highlight the importance of preventative measures to reduce underage drinking.

Lifestyle predictors of depression and anxiety during COVID-19: a machine learning approach

Abstract Introduction Recent research has suggested an increase in the global prevalence of psychiatric symptoms during the COVID-19 pandemic. This study aimed to assess whether lifestyle behaviors can predict the presence of depression and anxiety in the Brazilian general population, using a model developed in Spain. Methods A web survey was conducted during April-May 2020, which included the Short Multidimensional Inventory Lifestyle Evaluation (SMILE) scale, assessing lifestyle behaviors during the COVID-19 pandemic. Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to develop predictive models. Each technique used a subset of the Spanish sample to train the models, which were then tested internally (vs. the remainder of the Spanish sample) and externally (vs. the full Brazilian sample), evaluating their effectiveness. Results The study sample included 22,562 individuals (19,069 from Brazil, and 3,493 from Spain). The models developed performed similarly and were equally effective in predicting depression and anxiety in both tests, with internal test AUC-ROC values of 0.85 (depression) and 0.86 (anxiety), and external test AUC-ROC values of 0.85 (depression) and 0.84 (anxiety). Meaning of life was the strongest predictor of depression, while sleep quality was the strongest predictor of anxiety during the COVID-19 epidemic. Conclusions Specific lifestyle behaviors during the early COVID-19 epidemic successfully predicted the presence of depression and anxiety in a large Brazilian sample using machine learning models developed on a Spanish sample. Targeted interventions focused on promoting healthier lifestyles are encouraged.

Increase in serum brain-derived neurotrophic factor levels during early withdrawal in severe alcohol users

Abstract Introduction Changes in brain-derived neurotrophic factor (BDNF) have been linked to the neuroadaptative consequences of chronic alcohol use and associated with disease severity and prognosis. Few studies have evaluated the influence of drug withdrawal and clinical and sociodemographic data on BDNF levels in severe alcohol users. Objectives Our goals were (1) to evaluate variation in BDNF levels during alcohol withdrawal and, (2) to assess the influence of putative confounding factors on BDNF levels. Methods Our sample consists of 62 men with alcohol use disorder undergoing a detoxification process. Serum BDNF levels were measured using a commercial sandwich-ELISA kit, at two points: before and after the detoxification period. Results We found an increase in BDNF levels during alcohol withdrawal (25.4±9.6 at admission vs. 29.8±10.2 ng/ml at discharge; p < 0.001), even after controlling for potential confounders (positive family history, number of days between blood sample collections, and age) (Generalized Estimating Equation: coefficient = -4.37, 95% confidence interval [95%CI] -6.3; -2.4; p < 0.001). Moreover, individuals who had first-degree relative with alcohol dependence had smaller increases in BDNF levels than individuals with no family history (14.8 [95%CI -5.3; 35.6] vs. 35.3 [95%CI 15.4; 74.8]; p = 0.005). Conclusions In summary, variation in BDNF levels seems to be influenced by withdrawal in severe alcohol users. A positive family history of alcohol dependence could also be a factor that influences variation in this biomarker.