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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Highlights • MDD is a mental disorder characterized by aberrant emotion regulation. • Abnormal emotional control may result from dysfunctional cognitive processing. • The emotional response is comprised of affective and expressive components. • Lower limbic structures direct the expressive and affective components. • Higher cognitive structures allow for context-based emotional response modulation. Abstract 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 dys regulation. [ABSTRACT FROM AUTHOR]

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.