Predictors of recurrence of major depressive disorder

Exploring the Influence of Fok1/Apa1 Polymorphic Variants on Adolescent Mental Health and Response to Vitamin D Supplementation in Embryonic Hippocampal Cell Lines

Several single nucleotide polymorphisms (SNPs) of the vitamin D receptor (VDR) have been observed in association with susceptibility to various pathologies, including autism, major depression, age-related changes in cognitive functioning, and Parkinson's and Alzheimer's diseases. This study aimed to establish the association between Fok1/Apa1 polymorphic variants and anxious/depressive symptoms in nonclinical adolescents from central Italy, with the goal of identifying the risk of developing both symptoms. We found no significant difference in genotype distribution or dominant/recessive models of Fok1/Apa1 VDR polymorphic variants between subjects with anxious/depressive symptoms and controls. HN9.10e cell lines carrying the AA genotype for Fok1 and the CC genotype for Apa1 responded better to treatment with vitamin D3 than cell lines carrying the AG genotype for Fok1 and CA genotype for Apa1. Cell lines carrying the GG genotype for Fok1 and the AA genotype for Apa1 did not respond at all, suggesting avenues for future studies in both the general population and individuals with mental and/or neuropsychiatric disorders. These studies suggest that the level of response to vitamin D3 administered to prevent and/or treat mental or neurological disorders could depend on the polymorphic variants of the vitamin D receptor.

Lower loss rate of serotonergically modulated neuronal accumulator for time in patients with major depressive disorder

Major depressive disorder (MDD) is characterized by dramatic and persistent worsening of mood, as well as a subjective feeling of time slowing. However, experimental data on time perception are inconsistent. As serotonergic dysfunction implicated in MDD etiology, we aim to examine time perception in MDD through the framework of lossy temporal integration model, previously also related to serotonergic transmission. Thirty-one patients with recurrent depressive disorder in partial remission and thirty control participants, without a history of psychiatric and neurological disorders, performed duration discrimination of visual stimuli (duration ranges from 3.2 to 6.4 s) and subjective minute production tasks. To infer about central serotonergic transmission, an electroencephalogram in response to the 1000 Hz tone of different intensity (50, 60, 70 and 80 dB SPL) was recorded. Patients with MDD shorten the past durations in the duration discrimination task significantly less than controls, thus being more objective. No difference in the subjective minute production was recorded. Patients with MDD have also exhibited larger auditory evoked potentials in response to the tones of high intensity (70 and 80 dB SPL) when compared with the controls. This resulted in a steeper slope of auditory evoked potentials by intensity function. These converging findings suggest a lower loss rate of neuronal temporal accumulator modulated by serotonergic transmission in patients with MDD.

Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review

BACKGROUND

New approaches to the treatment of depression are necessary for patients who do not respond to current treatments or lack access to them because of barriers such as cost, stigma, and provider shortage. Digital interventions for depression are promising; however, low patient engagement could limit their effectiveness.

OBJECTIVE

This systematic literature review (SLR) assessed how participant adherence to and engagement with digital interventions for depression have been measured in the published literature, what levels of adherence and engagement have been reported, and whether higher adherence and increased engagement are linked to increased efficacy.

METHODS

We focused on a participant population of adults (aged ≥18 years) with depression or major depressive disorder as the primary diagnosis and included clinical trials, feasibility studies, and pilot studies of digital interventions for treating depression, such as digital therapeutics. We screened 756 unique records from Ovid MEDLINE, Embase, and Cochrane published between January 1, 2000, and April 15, 2022; extracted data from and appraised the 94 studies meeting the inclusion criteria; and performed a primarily descriptive analysis. Otsuka Pharmaceutical Development & Commercialization, Inc (Princeton, New Jersey, United States) funded this study.

RESULTS

This SLR encompassed results from 20,111 participants in studies using 47 unique web-based interventions (an additional 10 web-based interventions were not described by name), 15 mobile app interventions, 5 app-based interventions that are also accessible via the web, and 1 CD-ROM. Adherence was most often measured as the percentage of participants who completed all available modules. Less than half (44.2%) of the participants completed all the modules; however, the average dose received was 60.7% of the available modules. Although engagement with digital interventions was measured differently in different studies, it was most commonly measured as the number of modules completed, the mean of which was 6.4 (means ranged from 1.0 to 19.7) modules. The mean amount of time participants engaged with the interventions was 3.9 (means ranged from 0.7 to 8.4) hours. Most studies of web-based (34/45, 76%) and app-based (8/9, 89%) interventions found that the intervention group had substantially greater improvement for at least 1 outcome than the control group (eg, care as usual, waitlist, or active control). Of the 14 studies that investigated the relationship between engagement and efficacy, 9 (64%) found that increased engagement with digital interventions was significantly associated with improved participant outcomes. The limitations of this SLR include publication bias, which may overstate engagement and efficacy, and low participant diversity, which reduces the generalizability.

CONCLUSIONS

Patient adherence to and engagement with digital interventions for depression have been reported in the literature using various metrics. Arriving at more standardized ways of reporting adherence and engagement would enable more effective comparisons across different digital interventions, studies, and populations.

Healthy hearts healthy minds: A randomized trial of online interventions to improve physical activity

INTRODUCTION

Depressed individuals are more likely to die from cardiovascular disease (CVD) than those without depression. People with CVD have higher rates of depression than those without and have higher mortality rates if they have comorbid depression. While physical activity (PA) improves both, few people engage in enough. We compared self-guided internet-based cognitive behavior therapy (CBT) + Fitbit or mindfulness-based cognitive therapy (MBCT) + Fitbit, with Fitbit only to increase daily steps for participants with depression who have low PA.

METHODS

Adult participants (N = 340) were recruited from two online patient-powered research networks and randomized to one of three study interventions for 8 weeks with an additional 8 weeks of follow-up. Using linear mixed effects models, we evaluated the effect of the intervention on average daily steps (NCT03373110).

RESULTS

Average daily steps increased 2.8 steps per day in MBCT+Fitbit, 2.9 steps/day in CBT + Fitbit, but decreased 8.2 steps/day in Fitbit Only. These changes were not statistically different between the MBCT+Fitbit and CBT + Fitbit groups, but were different from Fitbit Only across the initial 8-week period. Group differences were not maintained across follow-up. Exploratory analyses identified comorbid anxiety disorders, self-reported PA, and employment status as moderators.

DISCUSSION

Changes in daily steps over both 8- and 16-week periods-regardless of intervention group-were minimal. The results emphasize the limits of using self-guided web-based psychotherapy with an activity tracker to increase PA in participants with a history of depression and low PA.

Effect of Personality Traits on Sustained Remission Among Patients with Major Depression: A 12-Month Prospective Study

PURPOSE

Major depression is a heterogeneous disorder. Therefore, careful evaluation and comprehensive assessment are crucial elements for achieving remission. Personality traits influence prognosis and treatment outcomes, but there is not enough evidence on the association between personality traits and sustained remission (SR). Hence, the present study aimed to evaluate the relationship between personality traits and SR among patients with major depression.

PATIENTS AND METHODS

The 12-month prospective study evaluated 77 patients diagnosed with major depressive disorder. All patients underwent a comprehensive assessment, including the Temperament and Personality Questionnaire (T&P) at baseline, and depression severity was measured at baseline as well as six and 12 months. SR was defined as remission (the GRID-Hamilton Depression Rating Scale [GRID-HAMD₁₇] score ≦ 7) at both the 6- and 12-month follow-up. We compared eight T&P construct scores at baseline between the SR and non-SR groups. Multivariable logistic regression analyses were performed to determine the T&P personality traits related to SR.

RESULTS

Patients who achieved SR had a lower T&P personal reserve and lower T&P rejection sensitivity. Further, lower scores on the T&P personal reserve trait were independently associated with higher rates of SR among patients with major depression. Patients who achieved SR had a shorter duration of the current depressive episode and milder severity of depression at baseline.

CONCLUSION

A lower level of personal reserve predicted a higher probability of SR in the treatment of depression. Extended observations in naturalistic follow-up settings with larger sample sizes are required to better understand the personality traits affecting SR in patients with depression.

Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome

Brain function relies on efficient communications between distinct brain systems. The pathology of major depressive disorder (MDD) damages functional brain networks, resulting in cognitive impairment. Here, we reviewed the associations between brain functional connectome changes and MDD pathogenesis. We also highlighted the utility of brain functional connectome for differentiating MDD from other similar psychiatric disorders, predicting recurrence and suicide attempts in MDD, and evaluating treatment responses. Converging evidence has now linked aberrant brain functional network organization in MDD to the dysregulation of neurotransmitter signaling and neuroplasticity, providing insights into the neurobiological mechanisms of the disease and antidepressant efficacy. Widespread connectome dysfunctions in MDD patients include multiple, large-scale brain networks as well as local disturbances in brain circuits associated with negative and positive valence systems and cognitive functions. Although the clinical utility of the brain functional connectome remains to be realized, recent findings provide further promise that research in this area may lead to improved diagnosis, treatments, and clinical outcomes of MDD.

[First depressive episode in the dynamics of personality disorders in adolescence]

OBJECTIVE

To determine clinical and psychopathological specifics of the first depressive episode (DE) in the context of formation of personality anomalies and their dynamics in adolescence.

MATERIAL AND METHODS

Two hundred and thirty-seven patients (180 male, 57 female), aged 16 to 25 years, with the first DE and comorbid personality disorder (PD) were clinically observed and psychopathologically evaluated. Later 149 patients from this group participated in the follow-up study.

RESULTS

The first DE with PD in adolescence is characterized by psychopathological variety due to PD type and age factor. Diagnosis of PD in adolescence is based on pathological traits, while affective impairment is a separate dimension. PD determines the clinical features of the first DE and all spectrum of affective disorders. The high conjugation of the first DE with autoagressive behavior confirms their suicidal risk. Autoagressive behavior is noted in 201 (84.8%) patients, of which 59 (29.4%) had non-suicide self-injury (NSSI) and 14 (70.6%) had suicidal activity. The follow-up study identified variants of further dynamics of PD with comorbid affective spectrum disorders after the first DE developed in youth that had prognostic value: unipolar major depression in schizoid PD (13 (37.1%) patients), cluster C PD (8 (26.7%)); bipolar affective disorders in borderline (42 (28.2%)) and narcissistic (16 (40.0%)) PD; recurrent depressive disorder in PD of cluster C (14 (46.7%)).

CONCLUSIONS

The revealed clinical and psychopathological features will contribute to the creation of a unified model for predicting affective disorders and the formation of therapy standards.

Dynamics of psychological responses to COVID-19 in India: A longitudinal study

The novel COVID-19 pandemic has created chaos around the globe. To curb its spread, the Government of India announced a nationwide lockdown on March 24th, 2020 for 21 days, which was extended further for a longer time. This long period of lockdown disrupted the routine of all citizens, affecting their psychological well-being. While recent studies showed the psychological burden of Indians during the pandemic, no study has assessed whether the psychological toll changed over time due to repeated extensions of the lockdown. We followed up 159 Indian adults during the first two months of the lockdown to assess any change in their anxiety, stress, and depressive symptoms. Multilevel linear regression models of repeated observations nested within individuals adjusted for sociodemographic covariates showed that anxiety (β = 0.81, 95% CI: 0.03, 1.60), stress (β = 0.51, CI: 0.32, 0.70), and depressive symptoms (β = 0.37, CI: 0.13, 0.60) increased over time during the lockdown. This increase was higher among women than men independent of covariates. Individual resilience was negatively associated with adverse psychological outcomes. Our findings suggested that while the lockdown may help in effectively addressing this pandemic, the state and society at large need to be sensitive to the mental health impacts of a long-drawn-out lockdown. Such effects likely have long-term sequelae. The disproportionate impact on women needs immediate attention. Moreover, it behooves society to address the root causes driving the unequal distribution of psychological distress during such crises.