BACKGROUND: Major depressive disorder (MDD) is a leading cause of disability worldwide across domains of health and cognition, affecting overall quality of life. Approximately one third of individuals with depression do not fully respond to treatments (e.g., conventional antidepressants, psychotherapy) and alternative strategies are needed. Recent early phase trials suggest psilocybin may be a safe and efficacious intervention with rapid-acting antidepressant properties. Psilocybin is thought to exert therapeutic benefits by altering brain network connectivity and inducing neuroplastic changes that endure for weeks post-treatment. Although early clinical results are encouraging, psilocybin\'s acute neurobiological effects on neuroplasticity have not been fully investigated. We aim to examine for the first time how psilocybin acutely (intraday) and subacutely (weeks) alters functional brain networks implicated in depression.
METHODS: Fifty participants diagnosed with MDD or persistent depressive disorder (PDD) will be recruited from a tertiary mood disorders clinic and undergo 1:1 randomization into either an experimental or control arm. Participants will be given either 25 mg psilocybin or 25 mg microcrystalline cellulose (MCC) placebo for the first treatment. Three weeks later, those in the control arm will transition to receiving 25 mg psilocybin. We will investigate whether treatments are associated with changes in arterial spin labelling and blood oxygenation level-dependent contrast neuroimaging assessments at acute and subacute timepoints. Primary outcomes include testing whether psilocybin demonstrates acute changes in (1) cerebral blood flow and (2) functional brain activity in networks associated with mood regulation and depression when compared to placebo, along with changes in MADRS score over time compared to placebo. Secondary outcomes include changes across complementary clinical psychiatric, cognitive, and functional scales from baseline to final follow-up. Serum peripheral neurotrophic and inflammatory biomarkers will be collected at baseline and follow-up to examine relationships with clinical response, and neuroimaging measures.
CONCLUSIONS: This study will investigate the acute and additive subacute neuroplastic effects of psilocybin on brain networks affected by depression using advanced serial neuroimaging methods. Results will improve our understanding of psilocybin\'s antidepressant mechanisms versus placebo response and whether biological measures of brain function can provide early predictors of treatment response.
BACKGROUND: ClinicalTrials.gov Identifier: NCT06072898. Registered on 6 October 2023.

Observational studies have reported a relationship between multiple common dermatoses and mental illness. To assess the potential bidirectional causality between 3 skin disorders (psoriasis, eczema, and urticaria) and 4 psychiatric disorders (bipolar disorder, schizophrenia, major depressive disorder, and anxiety) in the European population, we used Mendelian randomization (MR) analysis, which provides definitive evidence for causal inference. Eligible single nucleotide polymorphisms were screened for dermatological and psychiatric disorders using a genome-wide association study database. We conducted bidirectional, 2-sample MR analysis using instrumental variables related to psoriasis, eczema, and urticaria as exposure factors, and bipolar disorder, schizophrenia, major depression, and anxiety as outcomes. Reverse MR analysis with bipolar disorder, schizophrenia, major depression, and anxiety as exposure and psoriasis, eczema, and urticaria as outcomes were also performed, and the causality was analyzed using inverse-variance weighting (IVW), MR-Egger, and weighted median methods. To thoroughly assess causality, sensitivity analyses were conducted using the IVW, MR-PRESSO, and MR-Egger methods. The results showed that bipolar disorder increased the incidence of psoriasis (odds ratio = 1.271, 95% confidence interval = 1.003-1.612, P = .047), heterogeneity test with Cochran Q test in the IVW showed P value > .05, (P = .302), the MR-Pleiotropy and MR-PRESSO (outlier methods) in the multiplicity test showed P value > .05, (P = .694; P = .441), and MR-Pleiotropy evidence showed no apparent intercept (intercept = -0.060; SE = 0.139; P = .694). Major depression increased the risk of eczema (odds ratio = 1.002, 95% confidence interval = 1.000-1.004, P = .024), heterogeneity test showed P value > .05, (P = .328), multiplicity detection showed P value > .05, (P = .572; P = .340), and MR-Pleiotropy evidence showed no apparent intercept (intercept = -0.099; SE = 0.162; P = .572). Sensitivity analyses of the above results were reliable, and no heterogeneity or multiplicity was found. This study demonstrated a statistically significant causality between bipolar disorder and psoriasis, major depression, and eczema in a European population, which could provide important information for physicians in the clinical management of common skin conditions.

BACKGROUND: The prevalence of major depressive disorder (MDD) is on the rise globally, and the use of antidepressant medications for its treatment does not usually result in full remission. However, the combination of physical exercise and psychotherapy for the treatment of MDD increase the rate of full remission among patients. This three-armed, parallel-group, double-blinded randomised controlled trial (RCT) aims to assess and compare the effects between the combination of exergame and acceptance and commitment therapy (e-ACT) programme, ACT only and treatment-as-usual (TAU) control groups on the severity of depression and anxiety symptoms, the degree of experiential avoidance and quality of life (QoL) and the serum levels of depression biomarkers (such as brain-derived neurotrophic factor, C-reactive protein and vascular endothelial growth factor) among patients with MDD across three time points.
METHODS: This RCT will recruit 126 patients with MDD who will be randomised using stratified permuted block randomisation into three groups, which are the combined e-ACT programme, ACT-only and TAU control groups in a 1:1:1 allocation ratio. The participants in the e-ACT and ACT-only intervention groups will undergo once a week intervention sessions for 8 weeks. Assessments will be carried out through three time points, such as the pre-intervention assessment (t0), assessment immediately after completion of the intervention at 8 weeks (t1) and assessment at 24 weeks after completion of the intervention (t2). During each assessment, the primary outcome to be assessed includes the severity of depression symptoms, while the secondary outcomes to be assessed are the severity of anxiety symptoms, experiential avoidance, QoL and depression biomarkers.
BACKGROUND: Approval of this study was obtained from the Human Research Ethics Committee of Universiti Sains Malaysia (USM/JEPeM/PP/23050420). The findings of the study will be published in academic peer-reviewed journals.
BACKGROUND: NCT05812001 (ClinicalTrials.gov). Registered on 12 April 2023.

Major depressive disorder (MDD) is a debilitating illness that includes depressive mood. Repetitive Transcranial Magnetic Stimulation (rTMS) is a therapy method used in the treatment of MDD. The purpose of this study was to assess neurotrophic factors, and oxidative stress levels in MDD patients and evaluate the changes in these parameters as a result of rTMS therapy. Twenty-five patients with MDD and twenty-six healthy volunteers with the same demographic characteristics were included in the study. Brain-derived neurotrophic factors were measured photometrically with commercial kits. Oxidative stress parameters were measured by the photometric method. Oxidative stress index (OSI) and disulfide (DIS) levels were calculated with mathematical formulas. In this study, total antioxidant status (TAS), total thiol (TT), and native thiol (NT) antioxidant parameters and brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF), and allopregnanolone (ALLO) levels were reduced in pre-rTMS with regard to the healthy control group; TOS, OSI, DIS, and S100 calcium-binding protein B (S100B) levels were increased statistically significantly (p < 0.01). Moreover, owing to TMS treatment; TAS, TT, NT, BDNF, GDNF, and ALLO levels were increased compared to pre-rTMS, while DIS, TOS, OSI, and S100B levels were decreased significantly (p < 0.01). The rTMS treatment reduces oxidative stress and restores thiol-disulfide balance in MDD patients. Additionally, rTMS modulates neurotrophic factors and neuroactive steroids, suggesting its potential as an antidepressant therapy. The changes in the biomarkers evaluated may help determine a more specific approach to treating MDD with rTMS therapy.

Objective: To test esmethadone (REL-1017) as adjunctive treatment in patients with major depressive disorder (MDD) and inadequate response to standard antidepressants.
Methods: In this phase 3, double-blind, placebo-controlled trial, outpatients with MDD (DSM-5) were randomized to daily oral esmethadone (75 mg on day 1, followed by 25 mg daily on days 2 through 28) or placebo between December 2020 and December 2022. The primary efficacy measure was change from baseline (CFB) to day 28 in the Montgomery-Asberg Depression Rating Scale (MADRS) score. The intent-to-treat (ITT) population included all randomized participants. The per-protocol (PP) population included completers without major protocol deviations impacting assessment. Post hoc analyses included participants with severe depression (baseline MADRS score ≥35).
Results: For the ITT analysis (n = 227), mean CFB was 15.1 (SD 11.3) for esmethadone (n = 113) and 12.9 (SD 10.4) for placebo (n = 114), with a mean difference (MD) of 2.3, which was not statistically significant (P = .154; Cohen effect size [ES] = 0.21). Remission rates were 22.1% and 13.2% (P = .076), and response rates were 39.8% and 27.2% (P = .044) with esmethadone and placebo, respectively. For the PP analysis (n = 198), mean CFB was 15.6 (SD 11.2) for esmethadone (n = 101) and 12.5 (SD 9.9) for placebo (n = 97), with an MD of 3.1 (P = .051; ES =0.29). In post hoc analyses of patients with baseline MADRS ≥35 in the ITT population (n = 112), MD was 6.9; P = .0059; ES = 0.57, and for the PP population (n = 98), MD was 7.9; P = .0015; ES = 0.69. Adverse events (AEs) were predominantly mild or moderate and transient, with no significant differences between groups.
Conclusions: The primary end point was not met. Esmethadone showed stronger efficacy in PP than in ITT analyses, with the discrepancy not attributable to AEs impacting treatment adherence. Significant efficacy occurred in post hoc analyses of patients with severe depression. Esmethadone was well tolerated, consistent with prior studies.
Trial Registration: ClinicalTrials.gov identifier: NCT04688164.

BACKGROUND: Comprehensive management of multimorbidity can significantly benefit from advanced health risk assessment tools that facilitate value-based interventions, allowing for the assessment and prediction of disease progression. Our study proposes a novel methodology, the Multimorbidity-Adjusted Disability Score (MADS), which integrates disease trajectory methodologies with advanced techniques for assessing interdependencies among concurrent diseases. This approach is designed to better assess the clinical burden of clusters of interrelated diseases and enhance our ability to anticipate disease progression, thereby potentially informing targeted preventive care interventions.
OBJECTIVE: This study aims to evaluate the effectiveness of the MADS in stratifying patients into clinically relevant risk groups based on their multimorbidity profiles, which accurately reflect their clinical complexity and the probabilities of developing new associated disease conditions.
METHODS: In a retrospective multicentric cohort study, we developed the MADS by analyzing disease trajectories and applying Bayesian statistics to determine disease-disease probabilities combined with well-established disability weights. We used major depressive disorder (MDD) as a primary case study for this evaluation. We stratified patients into different risk levels corresponding to different percentiles of MADS distribution. We statistically assessed the association of MADS risk strata with mortality, health care resource use, and disease progression across 1 million individuals from Spain, the United Kingdom, and Finland.
RESULTS: The results revealed significantly different distributions of the assessed outcomes across the MADS risk tiers, including mortality rates; primary care visits; specialized care outpatient consultations; visits in mental health specialized centers; emergency room visits; hospitalizations; pharmacological and nonpharmacological expenditures; and dispensation of antipsychotics, anxiolytics, sedatives, and antidepressants (P<.001 in all cases). Moreover, the results of the pairwise comparisons between adjacent risk tiers illustrate a substantial and gradual pattern of increased mortality rate, heightened health care use, increased health care expenditures, and a raised pharmacological burden as individuals progress from lower MADS risk tiers to higher-risk tiers. The analysis also revealed an augmented risk of multimorbidity progression within the high-risk groups, aligned with a higher incidence of new onsets of MDD-related diseases.
CONCLUSIONS: The MADS seems to be a promising approach for predicting health risks associated with multimorbidity. It might complement current risk assessment state-of-the-art tools by providing valuable insights for tailored epidemiological impact analyses of clusters of interrelated diseases and by accurately assessing multimorbidity progression risks. This study paves the way for innovative digital developments to support advanced health risk assessment strategies. Further validation is required to generalize its use beyond the initial case study of MDD.

Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment selection still proceeds via \"trial and error\". Given the varied presentation of MDD and heterogeneity of treatment response, the use of machine learning to understand complex, non-linear relationships in data may be key for treatment personalization. Well-organized, structured data from clinical trials with standardized outcome measures is useful for training machine learning models; however, combining data across trials poses numerous challenges. There is also persistent concern that machine learning models can propagate harmful biases. We have created a methodology for organizing and preprocessing depression clinical trial data such that transformed variables harmonized across disparate datasets can be used as input for feature selection. Using Bayesian optimization, we identified an optimal multi-layer dense neural network that used data from 21 clinical and sociodemographic features as input in order to perform differential treatment benefit prediction. With this combined dataset of 5032 individuals and 6 drugs, we created a differential treatment benefit prediction model. Our model generalized well to the held-out test set and produced similar accuracy metrics in the test and validation set with an AUC of 0.7 when predicting binary remission. To address the potential for bias propagation, we used a bias testing performance metric to evaluate the model for harmful biases related to ethnicity, age, or sex. We present a full pipeline from data preprocessing to model validation that was employed to create the first differential treatment benefit prediction model for MDD containing 6 treatment options.

Breast cancer is a global health concern that significantly impacts the quality of life (QOL) of individuals. This study aims to comprehensively examine the interplay between QOL and depression among nonmetastatic breast cancer patients in Lebanon, a region with limited research in this context. A cross-sectional study was conducted at Hammoud Hospital-University Medical Center from January 2018 to January 2023. Data was collected through a self-administered questionnaire distributed as Google Forms via WhatsApp. A total of 193 patients had non-metastatic breast cancer. Out of these, 81 valid responses were obtained. The Patient Health Questionnaire and Quality of Life Scale were used to assess depression and QOL, respectively. A total of 81 patients were included with mean age 54.4 years. Results revealed that 77.8% of patients experienced provisional depression, with 35.8% meeting criteria for major depressive disorder. Financial status and chronic diseases were associated with the likelihood of developing major depressive disorder. The mean QOL score was 81.14, lower than the average for healthy individuals. Educational level and presence of chronic diseases were significant factors influencing QOL. Postsurgical depression prevalence is substantial, underscoring the importance of integrating mental health care. Economic status and comorbidities are influential factors, necessitating targeted interventions. Breast cancer\'s impact on QOL is profound, falling below that of other chronic conditions. Education empowers coping, while comorbidities impact QOL. Our findings emphasize the multidimensional nature of breast cancer care, advocating for holistic support and addressing emotional well-being.

OBJECTIVE: Workplace stigmatisation and discrimination are significant barriers to accessing employment opportunities, reintegration and promotion in the workforce for people with mental illnesses in comparison to other disabilities. This paper presents qualitative evidence of anticipated and experienced workplace stigma and discrimination among individuals with major depressive disorder (MDD) in 35 countries, and how these experiences differ across countries based on their Human Development Index (HDI) level.
METHODS: Mixed-method cross-sectional survey.
UNASSIGNED: The qualitative data were gathered as part of the combined European Union Anti-Stigma Programme European Network and global International Study of Discrimination and Stigma Outcomes for Depression studies examining stigma and discrimination among individuals with MDD across 35 countries. Anticipated and experienced stigma and discrimination were assessed using the Discrimination and Stigma Scale version 12 (DISC-12). This study used responses to the open-ended DISC-12 questions related to employment. Data were analysed using the framework analysis method.
RESULTS: The framework analysis of qualitative data of 141 participants identified 6 key \'frames\' exploring (1) participants reported experiences of workplace stigma and discrimination; (2) impact of experienced workplace stigma and discrimination; (3) anticipated workplace stigma and discrimination; (4) ways of coping; (5) positive work experiences and (6) contextualisation of workplace stigma and discrimination. In general, participants from very high HDI countries reported higher levels of anticipated and experienced discrimination than other HDI groups (eg, less understanding and support, being more avoided/shunned, stopping themselves from looking for work because of expectation and fear of discrimination). Furthermore, participants from medium/low HDI countries were more likely to report positive workplace experiences.
CONCLUSIONS: This study makes a significant contribution towards workplace stigma and discrimination among individuals with MDD, still an under-researched mental health diagnosis. These findings illuminate important relationships that may exist between countries/contexts and stigma and discrimination, identifying that individuals from very high HDI countries were more likely to report anticipated and experienced workplace discrimination.

BACKGROUND: Cognitive dysfunction is one of the common symptoms in patients with major depressive disorder (MDD). Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) have been studied separately in the treatment of cognitive dysfunction in MDD patients. We aimed to investigate the effectiveness and safety of rTMS combined with tDCS as a new therapy to improve neurocognitive impairment in MDD patients.
METHODS: In this brief 2-week, double-blind, randomized, and sham-controlled trial, a total of 550 patients were screened, and 240 MDD inpatients were randomized into four groups (active rTMS + active tDCS, active rTMS + sham tDCS, sham rTMS + active tDCS, sham rTMS + sham tDCS). Finally, 203 patients completed the study and received 10 treatment sessions over a 2-week period. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to assess patients\' cognitive function at baseline and week 2. Also, we applied the 24-item Hamilton Depression Rating Scale (HDRS-24) to assess patients\' depressive symptoms at baseline and week 2.
RESULTS: After 10 sessions of treatment, the rTMS combined with the tDCS group showed more significant improvements in the RBANS total score, immediate memory, and visuospatial/constructional index score (all p < 0.05). Moreover, post hoc tests revealed a significant increase in the RBANS total score and Visuospatial/Constructional in the combined treatment group compared to the other three groups but in the immediate memory, the combined treatment group only showed a better improvement than the sham group. The results also showed the RBANS total score increased significantly higher in the active rTMS group compared with the sham group. However, rTMS or tDCS alone was not superior to the sham group in terms of other cognitive performance. In addition, the rTMS combined with the tDCS group showed a greater reduction in HDRS-24 total score and a better depression response rate than the other three groups.
CONCLUSIONS: rTMS combined with tDCS treatment is more effective than any single intervention in treating cognitive dysfunction and depressive symptoms in MDD patients.
BACKGROUND: Chinese Clinical Trial Registry (ChiCTR2100052122).