Changes in insulin resistance following antidepressant treatment mediate response in major depressive disorder.

BACKGROUND: Insulin resistance (IR) is a potential predictor of antidepressant treatment response. AIMS: We assess changes in IR after antidepressant treatment and whether these changes have any effect on treatment response. Also, to see whether changes in IR mediates relationship between C-reactive protein (CRP) and antidepressant efficacy. METHODS: This is a secondary analysis of an 8-week, open-label clinical trial with 95 adults experiencing a major depressive episode. Response to vortioxetine was measured using the Montgomery-Åsberg Depression Rating Scale (MADRS). Generalized estimating equation models were utilized for this intent-to-treat analysis. RESULTS: When adjusted for age, sex, and body mass index, there was a significant increase in IR following treatment in the overall sample (p = 0.035). This finding was detected in treatment non-responders (p = 0.019), whereas it was not observed in responders (p = 0.329). Mediation analysis revealed that change in IR during treatment was responsible for change in MADRS as well as the relationship between baseline CRP and treatment response. CONCLUSIONS: Exacerbation of IR during antidepressant treatment mediated non-response. Conversely in treatment responders IR reduced. Like previous studies, baseline CRP moderated treatment response. This relationship was also mediated by changes in IR. These findings further elucidate the role of IR in terms of antidepressant response as well as potentially explain inflammation's relationship with the latter.

Mental health conditions among the general population, healthcare workers and quarantined population during the coronavirus disease 2019 (COVID-19) pandemic.

This study sought to assess the differences in mental health conditions among the general population, quarantined population and healthcare workers during the COVID-19 outbreak in China. An online rapid assessment captured depressive and anxiety symptoms, and sleep quality data. A total of 2689 participants (n=374 general population, n=403 healthcare workers, n=1912 quarantined population) were included in the final statistical analysis. The proportion of individuals with mild and/or serious depression and anxiety were higher in the general population when compared to the quarantined population and healthcare workers (58.6% vs. 25.1%vs. 48.6%, P<0.001; 41.2% vs. 18.5% vs. 35.7%, P<0.001). The prevalence of sleep disturbance was higher among healthcare workers than the general population and quarantined population (29.8% vs. 24.1% vs. 22.7%, P=0.013). Logistic regression analysis showed that, perceived effect on daily life was associated with depression, anxiety and sleep disturbance in the general population, quarantined population and the healthcare workers. The general population had a greater risk of developing psychological problems. The healthcare workers suffered the poorest sleep quality. Future research must further explorethe targeted measures for the general population and healthcare workers while combating COVID-19.

Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study.

BACKGROUND: Smartphone addiction, as with other behavioral addictions, is associated with social, physical, and mental health issues. In this article, we investigated the prevalence of smartphone addiction among postgraduate students and evaluated its correlation with social demographics, depression, attention-deficit/hyperactivity disorder (ADHD), and nicotine dependence. OBJECTIVES: The objective of this study was to investigate the prevalence of smartphone addiction among Middle Eastern postgraduate students, determine the factors associated with smartphone addiction, and estimate the incidence rate of major depressive disorder (MDD), ADHD, insomnia, and nicotine addiction among postgraduate students with smartphone addiction. METHODS: As part of a cross-sectional online survey, participants were given a self-questionnaire divided into six sections: Socio-demographics, Smartphone Addiction Scale (SAS), Patient Health Questionnaire (PHQ9) for Depression, Athens Insomnia Scale (AIS), the Fagerström Test for Cigarette Dependence Questionnaire (FTCd), and the adult ADHD Self-Report Scale (ASRS-v1.1). RESULTS: Of the 506 patients, 51.0% of the participants demonstrated smartphone addiction. A significant association was also observed between extensive smartphone use and MDD (P = 0.001). Of the smokers in this study, 41.5% were addicted to smartphones (P = 0.039). Smartphone addicts had approximately two times the chance of having insomnia (OR = 2.113) (P = 0.013). In addition, they showcased more ADHD symptoms (OR = 2.712) (P < 0.001). CONCLUSIONS: We found a positive association among insomnia, depression, adult ADHD, and smartphone addiction, which confirms the findings reported in the previous studies. Therefore, we encourage the scientific community to further study the impacts of smartphone addiction on the mental health of postgraduate students.

A Systematic review of the validity of screening depression through Facebook, Twitter, Instagram, and Snapchat.

BACKGROUND: The aim of this study was to determine the validity of using social media for depression screening. METHOD: Article searches on PubMed and PsycINFO from database inception to August 20, 2019 were completed with a search string and filters. RESULTS: 15 articles made the inclusion criteria. Facebook, Twitter, and Instagram profiles of depressed people were distinguishable from nondepressed people shown by social media markers. Facebook studies showed that having fewer Facebook friends and mutual friends, posting frequently, and using fewer location tags positively correlated with depressive symptoms. Also, Facebook posts with explicit expression of depressive symptoms, use of personal pronouns, and words related to pain, depressive symptoms, aggressive emotions, and rumination predicted depression. Twitter studies showed that the use of "past focus" words, negative emotions and anger words, and fewer words per Tweet positively correlated with depression. Finally, Instagram studies showed that differences in follower patterns, photo posting and editing, and linguistic features between depressed people and nondepressed people could serve as a marker. LIMITATIONS: The primary articles analyzed had different methods, which constricts the amount of comparisons that can be made. Further, only four social media platforms were explored. CONCLUSION: Social media markers like number and content of Facebook messages, linguistic variability in tweets and tweet word count on Twitter, and number of followers, frequency of Instagram use and the content of messages on Instagram differed between depressed people and nondepressed people. Therefore, screening social media profiles on these platforms could be a valid way to detect depression.

Insulin resistance is associated with deficits in hedonic, self-reported cognitive, and psychosocial functional response to antidepressant treatment in individuals with major depressive disorder.

BACKGROUND: To assess the effect of insulin resistance (IR) on treatment response to the antidepressant, vortioxetine, in patients with Major Depressive Disorder (MDD). METHODS: This is a secondary analysis of an 8-week, open-label clinical trial. Ninety-five adults in a primary care setting experiencing a major depressive episode were included. Response to vortioxetine was measured using the THINC-integrated tool, Montgomery Åsberg Depression Rating Scale (MADRS), the Snaith-Hamilton Pleasure Scale (SHAPS), the Perceived Deficits Questionnaire (PDQ-5), and the Sheehan Disability Scale (SDS). Generalized estimating equation models were utilized for data analysis. RESULTS: When adjusted for age, gender, dose, and BMI, there was a significant baseline IR by time interaction for SHAPS (p = 0.022), PDQ-5 (p = 0.037), and SDS (p = 0.013). Higher baseline IR predicted decreased early improvements in anhedonia. It also predicted poorer subjective assessments of cognition and increased functional impairment at the endpoint of treatment. For functional capacity (i.e. SDS) other covariates including severity of symptoms, illness course, other metabolic factors (e.g. cholesterol), and physical activity were included with no changes to the moderating effect of baseline IR. LIMITATIONS: This was a post-hoc analysis of a primarily non-diabetic sample. Also, only one agent was assessed. CONCLUSIONS: IR was a predictor of response to vortioxetine. This persisted after controlling for other factors including, but not limited to, BMI. These findings strengthen the link between depression and IR and may point to another novel metabolic predictor of response. These findings should be replicated using other antidepressants.

Exploring brain insulin resistance in adults with bipolar depression using extracellular vesicles of neuronal origin.

Accumulating evidence suggests that disrupted insulin signaling is involved in bipolar disorder (BD) pathogenesis. Herein, we aimed to directly explore the potential role of neuronal insulin signaling using an innovative technique based on biomarkers derived from plasma extracellular vesicles enriched for neuronal origin (NEVs). We leveraged plasma samples from a randomized, double-blind, placebo-controlled, 12-week clinical trial evaluating infliximab as a treatment of bipolar depression. We isolated NEVs using immunoprecipitation against neuronal marker L1CAM from samples collected at baseline and weeks 2, 6 and 12 (endpoint) and measured NEV biomarkers using immunoassays. We assessed neuronal insulin signaling at its first node (IRS-1) and along the canonical (Akt, GSK-3ß, p70S6K) and alternative (ERK1/2, JNK and p38-MAPK) pathways. A subset of participants (n = 27) also underwent whole-brain magnetic resonance imaging (MRI) at baseline and endpoint. Pre-treatment, NEV biomarkers of insulin signaling were independently associated with cognitive function and MRI measures (i.e. hippocampal and ventromedial prefrontal cortex [vmPFC] volumes). In fact, the association between IRS-1 phosphorylation at serine site 312 (pS312-IRS-1), an indicator of insulin resistance, and cognitive dysfunction was mediated by vmPFC volume. In the longitudinal analysis, patients treated with infliximab, a tumor necrosis factor-alpha antagonist with known insulin sensitizing properties, compared to those treated with placebo, had augmented phosphorylation of proteins from the alternative pathway. Infliximab responders had significant increases in phosphorylated JNK levels, relative to infliximab non-responders and placebo responders. In addition, treatment with infliximab resulted in increase in MRI measures of brain volume; treatment-related changes in the dorsolateral prefrontal cortex volume were mediated by changes in biomarkers from the insulin alternative pathway. In conclusion, our findings support the idea that brain insulin signaling is a target for further mechanistic and therapeutic investigations.

Characterizing the gut microbiota in adults with bipolar disorder: a pilot study.

Background: Convergent evidence implicates gut microbiota in human health and disease. Hitherto, relatively few studies have evaluated the gut microbiota profile in individuals with bipolar disorder (BD) relative to healthy controls (HC). Methods: Fecal samples were collected from subjects (aged 18-65) meeting DSM-5-defined criteria for BD and age- and sex-matched HC without current or past history of mental or major medical disorders. Samples were sequenced using Illumina sequencing and association of specific taxa and co-occurrence of taxa with sample groups including the effect of diet was assessed using cluster analysis and analysis of communities of microorganisms (ANCOM). Nutritional composition was evaluated using the Dietary Questionnaire for Epidemiological Studies (DQES v2) Food Frequency Questionnaire. Results: Forty-six subjects were enrolled (n=23 BD, n=23 HC). Cluster analyses did not identify any significant differences between BD and HC (p=0.38). Lower microbiota diversity was observed among BD subjects relative to HC (p=0.04). A greater abundance of a Clostridiaceae OTU was observed among BD subjects when compared to HC and of Collinsella among BD-II subjects relative to BD-I. Cluster analysis revealed that neither diagnosis (p=0.38) nor diet (p=0.43) had a significant effect on overall gut microbiota composition. Limitations: This study has a small sample size and insufficient control for some potential moderating factors (e.g. psychotropic medication and smoking). Conclusion: This study suggests that individuals with BD may have a distinct gut microbiota profile compared to healthy controls, with a greater abundance of Clostridiaceae and Collinsella. These findings need to be replicated in future studies with larger sample sizes.

Effects of infliximab on brain neurochemistry of adults with bipolar depression.

OBJECTIVES: To explore the relationship between inflammation and neuronal metabolism in bipolar disorder (BD) by evaluating the neurochemical effects of the tumor necrosis factor-α (TNF-α) antagonist infliximab among individuals with bipolar depression METHODS: This is a post-hoc, exploratory analysis from a 12-week, randomized, double-blind, placebo-controlled trial with infliximab for adults with bipolar depression. We assessed the effects of infliximab on concentration of metabolites in the prefrontal cortex, using proton-magnetic resonance spectroscopy (1H-MRS), as well as its association with clinical outcomes (i.e. depressive symptom severity and cognitive function). RESULTS: Eighteen participants in the placebo and 15 in the infliximab group were included in this analysis. In the pre-specified primary outcome, there were no significant effects of treatment on prefrontal concentrations of N-acetylaspartate (NAA; p = 0.712). In the secondary analyses, there was a significant treatment by time interaction for glutamate (Glx; p = 0.018), indicating that Glx levels decreased in infliximab-treated patients, relative to placebo. Treatment group significantly moderated the association between changes in Glx levels and changes in a neurocognitive test (i.e. Digit Symbol Substitution Test; p = 0.014), indicating that in infliximab-treated participants reductions in Glx were associated with cognitive improvement. CONCLUSIONS: Treatment with infliximab did not affect prefrontal NAA concentration in adults with BD. Exploratory analysis suggested a potential effect of treatment on the glutamate system, a finding that should be confirmed and validated by additional studies.

The effect of intravenous, intranasal, and oral ketamine in mood disorders: A meta-analysis.

BACKGROUND: Ketamine is established as a rapid and effective treatment in adults with treatment-resistant depression (TRD). The availability of different formulations and routes of delivery invites the need for evaluating relative effect sizes. METHODS: Effect size with respect to depression symptom reduction for each formulation and route of delivery was compared at discrete time-points (i.e., 24 h, 2-6 days, 7-20 days, 21-28 days) in adults with TRD. A random-effects meta-analysis was conducted to evaluate the effect size across intravenous, intranasal and oral routes of administration. Analysis was also conducted evaluating the effect size of racemic ketamine to esketamine. RESULTS: The pooled effect size for intranasal ketamine/esketamine at 24 h was g = 1.247 (n = 5, 95% CI: 0.591-1.903, p < 0.01). At 2-6 days, the pooled effect size for intravenous ketamine/esketamine was g = 0.949 (n = 14, 95% CI: -0.308-2.206, p = 0.139). At 7-20 days, intranasal ketamine had a pooled effect size of g = 1.018 (n = 4, 95% CI: 0.499-1.538, p < 0.01). At 21-28 days, oral ketamine had a pooled effect size of g = 0.633 (n = 2, 95% CI: 0.368-0.898, p < 0.01). LIMITATIONS: Additional comparative studies are needed with regards to the efficacy of different formulations and routes of delivery. CONCLUSIONS: The short-term efficacy of intravenous and intranasal ketamine/esketamine for adults with TRD was established. Interpreting the efficacy of oral ketamine was limited by the need for studies with larger samples across independent sites. No conclusions regarding comparative efficacy of the disparate formulations and routes of delivery can be derived from this analysis. Direct comparative studies are needed to further inform treatment options for TRD.

Impact of COVID-19 pandemic on mental health in the general population: A systematic review.

BACKGROUND: As a major virus outbreak in the 21st century, the Coronavirus disease 2019 (COVID-19) pandemic has led to unprecedented hazards to mental health globally. While psychological support is being provided to patients and healthcare workers, the general public's mental health requires significant attention as well. This systematic review aims to synthesize extant literature that reports on the effects of COVID-19 on psychological outcomes of the general population and its associated risk factors. METHODS: A systematic search was conducted on PubMed, Embase, Medline, Web of Science, and Scopus from inception to 17 May 2020 following the PRISMA guidelines. A manual search on Google Scholar was performed to identify additional relevant studies. Articles were selected based on the predetermined eligibility criteria. RESULTS: Relatively high rates of symptoms of anxiety (6.33% to 50.9%), depression (14.6% to 48.3%), post-traumatic stress disorder (7% to 53.8%), psychological distress (34.43% to 38%), and stress (8.1% to 81.9%) are reported in the general population during the COVID-19 pandemic in China, Spain, Italy, Iran, the US, Turkey, Nepal, and Denmark. Risk factors associated with distress measures include female gender, younger age group (≤40 years), presence of chronic/psychiatric illnesses, unemployment, student status, and frequent exposure to social media/news concerning COVID-19. LIMITATIONS: A significant degree of heterogeneity was noted across studies. CONCLUSIONS: The COVID-19 pandemic is associated with highly significant levels of psychological distress that, in many cases, would meet the threshold for clinical relevance. Mitigating the hazardous effects of COVID-19 on mental health is an international public health priority.

Leptin mediates improvements in cognitive function following treatment with infliximab in adults with bipolar depression.

A potential role for leptin in the pathophysiology of bipolar disorder (BD) has been proposed. We recently investigated the effects of the tumor necrosis factor-alpha (TNF-α) antagonist infliximab in individuals with bipolar depression. Leptin is known to interact with the TNF-α system. Herein, we aimed to explore infliximab's effects on leptin and its relationship with brain structure and function. Sixty adults with bipolar depression were enrolled in this randomized, double-blind, 12-week clinical trial of adjunctive infliximab (n = 29) and saline control (n = 31), which were administered intravenously at weeks 0, 2, and 6. Plasma concentrations of leptin, TNF-α and soluble TNF receptors (sTNFR) 1 and 2 were assessed at weeks 0, 2, 6, and 12. We observed a significant decrease in leptin levels in infliximab-treated patients, relative to placebo. Infliximab treatment also significantly reduced TNF-α and sTNFR2, but not sTNFR1 levels. Changes in sTNR2 levels at week 6 significantly determined changes in leptin at week 12 in infliximab-, but not placebo-treated participants. Improvements in verbal memory and increases in global cortical volume were associated with reduction in leptin levels in the treatment group. Mediation analysis indicated that cognitive improvement in infliximab-treated patients was mediated by reductions in leptin levels, which in its turn were determined by decreases in sTNR2 levels. In conclusion, infliximab treatment reduced plasma leptin levels in individuals with BD, through modulation of sTNFR2. Decreases in leptin signaling were associated with an increase in global cortical volume and better performance in a verbal memory task.

The THINC-it Tool for Cognitive Assessment and Measurement in Major Depressive Disorder: Sensitivity to Change.

BACKGROUND: Herein, we sought to determine the sensitivity to change in cognitive function, as measured by the THINC-it tool, in a sample of adults with major depressive disorder (MDD) receiving standardized antidepressant therapy. METHODS: Adults meeting the DSM-5 criteria for MDD with at least moderate depressive symptom severity [i.e., Montgomery Åsberg Depression Rating Scale (MADRS) total score ≥ 20] were treated with open-label vortioxetine (10-20 mg/day, flexibly-dosed) for 8 weeks. The previously validated THINC-it tool was the primary dependent measure. The THINC-it tool was validated against the paper and pencil version of the Digit Symbol Substitution Test (DSST) and the Trails Making Test B (TMTB). RESULTS: After 8 weeks of treatment, adults with MDD exhibited improvement in cognitive function relative to healthy controls (e.g., processing speed) (p = 0.031). A subdomain measure of working memory (i.e., symbol check; SC) exhibited significant improvement at Weeks 2 and 8 in latency (p = 0.032), SC accuracy (p = 0.046), and objective z-score (p = 0.001) independent of depressive symptoms. A linear regression analysis determined that the THINC-it tool measures of processing speed, as well as executive function were significantly associated with changes observed on the pencil and paper version the Digit Symbol Substitution Test (DSST) (p = 0.002) and in Trails Making Test B (TMTB) (p = 0.003), respectively. CONCLUSION: The THINC-it tool demonstrates sensitivity to change in adults with MDD and is highly correlated with improvements on pencil and paper versions of DSST and TMTB. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, identifier NCT03053362.

Extracellular Vesicle Biomarkers Reveal Inhibition of Neuroinflammation by Infliximab in Association with Antidepressant Response in Adults with Bipolar Depression.

Accumulating evidence suggests that neuroinflammation is involved in bipolar disorder (BD) pathogenesis. The tumor necrosis factor-alpha (TNF-α) antagonist infliximab was recently reported to improve depressive symptoms in a subpopulation of individuals with BD and history of childhood maltreatment. To explore the mechanistic mediators of infliximab's effects, we investigated its engagement with biomarkers of cellular response to inflammation derived from plasma extracellular vesicles enriched for neuronal origin (NEVs). We hypothesized that infliximab, compared to placebo, would decrease TNF-α receptors (TNFRs) and nuclear factor-kappa B (NF-κB) pathway signaling biomarkers, and that history of childhood abuse would moderate infliximab's effects. We immunocaptured NEVs from plasma samples collected at baseline and at weeks 2, 6, and 12 (endpoint) from 55 participants of this clinical trial and measured NEV biomarkers using immunoassays. A subset of participants (n = 27) also underwent whole-brain magnetic resonance imaging at baseline and endpoint. Childhood physical abuse moderated treatment by time interactions for TNFR1 (χ2 = 9.275, p = 0.026), NF-κB (χ2 = 13.825, p = 0.003), and inhibitor of NF-κB (IκBα) (χ2 = 7.990, p = 0.046), indicating that higher levels of physical abuse were associated with larger biomarker decreases over time. Moreover, the antidepressant response to infliximab was moderated by TNFR1 (χ2 = 7.997, p = 0.046). In infliximab-treated participants, reductions in TNFR1 levels were associated with improvement of depressive symptoms, an effect not detected in the placebo group. Conversely, reductions in TNFR1 levels were associated with increased global cortical thickness in infliximab- (r = -0.581, p = 0.029), but not placebo-treated, patients (r = 0.196, p = 0.501). In conclusion, we report that NEVs revealed that infliximab engaged the TNFR/NF-κB neuro-inflammatory pathway in individuals with BD, in a childhood trauma-dependent manner, which was associated with clinical response and brain structural changes.

Using early changes in cold cognition to predict response to vortioxetine in major depressive disorder.

Antidepressant pharmacotherapy dominates current treatment in psychiatry, including treatment for major depressive disorder (MDD). However, the current trial-and-error process of medication selection contributes to treatment failure and unnecessarily exposes patients to lengthy and insufficient treatment trials. Notably, improvements in measures of cognition have been demonstrated to occur early during treatment and prior to improvements in clinical state. Cognitions have been categorized based on emotional valence (i.e., cold versus hot cognitions). Cold cognitions describe cognitive operations that are relevant to the processing of non-emotional information. The current analysis investigates whether early changes in cold cognition can predict response after 8 weeks of vortioxetine treatment in adults with MDD. This was secondary analysis of an 8-week, open-label study. Cognition was assessed at week 0 and week 2 to measure early cognitive change. Depressive symptom severity was assessed at week 0 and week 8 to measure treatment response. Eighty-one subjects were analyzed using binomial logistic regression models. Early change in cognition was a non-significant predictor of response (p = 0.845, SE = 0.599, OR = 1.124), which may have resulted from high data variability. The overall predictive accuracy of the model was low (sensitivity = 37.5%, specificity = 89.8%, PPV = 70.6%, NPV = 68.8%). Future studies should include larger samples and stratify patients based on potentially moderating variables, such as baseline cognitive impairment and occupation. Stratification would likely produce more homogenous samples, reducing the amount of variability observed for early cognitive change.

Effects of Lower Past-Year Serum Sodium and Hyponatremia on Depression Symptoms and Cognitive Impairments in Patients With Hemodialysis.

The relationship between hyponatremia, depression symptoms, and cognitive impairments in patients receiving hemodialysis treatment remain unclear. This study aimed to examine the impact of past-year average serum sodium levels on current depression symptoms and cognitive impairments in patients receiving hemodialysis, with adjustment for possible confounders. A total of 200 participants were recruited for this study. Depression symptoms and cognitive impairments were assessed using the Patient Health Questionnaire and Perceived Deficits Questionnaire-5, respectively. Additionally, sociodemographic features, physical health, metabolic factors, and substance use information were collected. Significant associations between serum sodium levels, depression symptoms, and cognitive impairments were found after multivariate regression analysis. Furthermore, such differences were observed profoundly in moderate to profound hyponatremia. Our study revealed exclusive relationships between hyponatremia, depression symptoms, and cognitive impairments. As such, programs of cognitive rehabilitation and emotional regulation should be included in the prevention of chronic kidney disease for moderate to profound hyponatremia.

Smartphone applications for the treatment of depressive symptoms: A meta-analysis and qualitative review.

BACKGROUND: Emerging research indicates that the use of smartphone mental health applications (apps) could be used as an adjunctive therapy for individuals with depression, especially those who have difficulty accessing conventional therapies. The adoption and ownership of smartphone technology continues to increase in developed and developing nations, and could provide widespread and cost-effective evidence-based treatments for depressive symptoms. METHODS: The primary objective of this meta-analysis was to quantitatively evaluate the effects of smartphone mental health app interventions on depressive symptoms. Identified studies were qualitatively reviewed to address the following secondary objectives: (1) identify the types of smartphone apps currently being used to target depression; (2) identify factors associated with positive response to smartphone apps in depression; (3) provide directives for future research and app development; and (4) characterize the therapeutic opportunity of smartphone app interventions among individuals with depression. RESULTS: The results indicate that there may be some therapeutic opportunity with smartphone interventions as an adjunctive treatment for depression. In particular, we observed a small effect in favor of smartphone app interventions for reducing depressive symptoms. However, because of the significant heterogeneity across studies, continued research among more homogenous samples is warranted to determine whether these interventions might have larger (ie, more clinically relevant) effects in specific subpopulations and/or whether specific app characteristics produce larger effects. CONCLUSIONS: The current study highlights some key areas of priority going forward, particularly concerning the design of future studies and the development of novel technologies with a user-centered focus.

Changes in sleep predict changes in depressive symptoms in depressed subjects receiving vortioxetine: An open-label clinical trial.

BACKGROUND: Sleep disturbances are frequently reported in patients with major depressive disorder. We aimed to investigate the effects of vortioxetine on sleep quality and association between changes in sleep and treatment response. METHODS: This study is a post-hoc analysis of a clinical trial that sought to evaluate the sensitivity to cognitive change of THINC-integrated tool in patients with major depressive disorder. In total, 92 patients (aged 18 to 65) meeting Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria for moderate or severe major depressive disorder and 54 healthy controls were included. All patients received open-label vortioxetine (10-20 mg/day, flexibly dosed) for 8 weeks. Herein, the primary outcomes of interest were changes in sleep, as measured by the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index, between weeks 0, 2, and 8. The association between changes in sleep and depressive symptom severity was secondarily assessed. RESULTS: We observed that sleep, as indicated by scores of Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index, was significantly poorer in patients with major depressive disorder compared to healthy controls at weeks 0, 2, and 8 (p < 0.05). Among patients with major depressive disorder, we observed significant improvements on the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index between weeks 0 and 8 (p < 0.05). We observed a significant association between improvements on the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Insomnia Severity Index and improvement of depressive symptoms. CONCLUSION: Improvement of depressive symptoms in major depressive disorder patients treated with vortioxetine was associated with significant improvements in sleep. Furthermore, improvements in sleep were predictive of antidepressant response and were linearly correlated with improvement in overall depressive symptom severity.

Association between cognitive function and performance on effort based decision making in patients with major depressive disorder treated with Vortioxetine.

BACKGROUND: It is well established that deficits in motivation, reward, and cognition are common during and in between syndromal episodes of depression as part of Major Depressive Disorder (MDD). Informed by evidence indicating functional and structural interconnectivity between cognitive and reward brain circuits, we preliminarily evaluate the association between measures of cognitive performance and reward/motivation. METHODS: This is a post-hoc analysis of a primary study (i.e. the THINC-it sensitivity to change study). Adults (18-65 years of age) meeting DSM-5 criteria for MDD, single-episode or recurrent confirmed by M.I.N.I. with moderate severity or greater (i.e. Montgomery Asberg Depression Rating Scale ≥20). All eligible subjects received vortioxetine 10-20 mg open-label for 8 weeks. The Effort Expenditure Reward Task (EEfRT) was the principal measure of motivation and reward. We directly compare the effects of cognitive measures and depressive symptoms on effort-based decision-making using the THINC-it composite score and MADRS total score. RESULTS: Twenty-one participants with MDD (Mean age = 38.47, SD = 12.85) and 20 healthy volunteers (Mean age = 41.50, SD = 14.21) completed the optional EEfRT task. Amongst individuals with MDD, performance in processing speed, executive function (i.e. Trails B) and overall composite cognitive score was positively associated with the proportion of hard-task choices in the high reward condition (i.e. greater reward valuation). Across both groups, a greater probability (χ2 = 1.137) and magnitude of reward (χ2 = 0.045) was associated with increased effort (i.e. choosing the hard task more frequently). Using fully factored GEE models, we observed a positive association between performance on the Trails test (ß = 2.223, SE = 0.928, p = 0.017) as well as the composite score (ß = 0.978, SE = 0.0.459, p = 0.033), and greater effort for high rewards. In addition, it was observed that a positive association (i.e. greater effort for reward in higher probability) was observed with depressive symptoms and overall cognitive measures. CONCLUSION: Herein, we observed that an association exists between overall cognitive function, notably processing speed and executive function and reward function. Specifically, a greater effort for hard task rewards (using the EEfRT task) was manifested in individuals exhibiting higher levels of cognitive performance in a well-characterized sample of MDD treated with Vortioxetine.

Effort-based decision-making is affected by overweight/obesity in major depressive disorder.

BACKGROUND: Anhedonia and abnormalities in reward behavior are core features of major depressive disorder (MDD). Convergent evidence indicates that overweight/obesity (OW), a highly prevalent condition in MDD, is independently associated with reward disturbances. We therefore aimed to investigate the moderating effect of OW on the willingness to expend efforts for reward in individuals with MDD and healthy controls (HC). METHODS: Forty-one adults (HC n = 20, MDD n = 21) completed the Effort Expenditure for Rewards Task (EEfRT), clinical and cognitive measures. Anthropometric parameters were assessed in all participants, and an additional evaluation of laboratorial parameters were conducted solely on those with MDD. Individuals with MDD were all on vortioxetine monotherapy (10-20 mg/day). RESULTS: Interactions between reward magnitude, group and OW were observed (χ2 = 9.192, p = 0.010); the OW-MDD group chose the hard task significantly less than normal weight (NW)-HC (p = 0.033) and OW-HC (p = 0.034), whereas there were no differences between NW-MDD and HCs. Within individuals with MDD, the proportion of hard task choices was more strongly correlated with body mass index (BMI) (r = -0.456, p = 0.043) and insulin resistance (HOMA2-IR) (r = -0.467, p = 0.038), than with depressive symptoms (r = 0.290, p = 0.214). CONCLUSIONS: OW significantly moderated the association between MDD and willingness to make efforts for rewards. These findings offer novel evidence on the potential role of metabolic factors on the basis of anhedonia, and for the heuristic models proposing a pathophysiological connection between mood and metabolic disorders.

The neural systems of emotion regulation and abnormalities in major depressive disorder.

Major depressive disorder (MDD) is a mental disorder characterized by aberrant emotion regulation. The capacity for emotion regulation stems from diverse neural circuits including higher level cognitive structures involved in processing contextual information, and lower level limbic structures involved in triggering emotional expression. Cognitive theories of depression posit that the MDD-specific abnormalities in emotional control derive itself from dysfunctional cognitive processes including biased attention, rumination, and altered information processing and memory. The main objectives of the current narrative review are to summarize the major neural systems involved in emotion regulation in humans, and to describe how these systems are dysregulated in MDD. The findings will be briefly discussed in the context of a conceptual framework of depression (i.e., Beck's cognitive model of depression), and neural targets of conventional treatments for depression will also be discussed. MDD exemplifies the critical importance of appropriate emotion regulation to human health and wellbeing, and demonstrates the personal and social impact of emotion dysregulation.