Prognosis and improved outcomes in major depression: a review

A nanoplasmonic cell-on-a-chip for in situ monitoring of PD-L1+ exosome-mediated immune modulation

Despite the transformative impact of immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 pathway in cancer therapy, up to 80% of patients fail to respond, necessitating reliable predictive biomarkers to guide treatment decisions. Recent studies highlight the critical role of tumor-derived exosomal PD-L1 in immune evasion, and its potential as a diagnostic and prognostic biomarker in cancer immunotherapy. However, significant challenges remain in elucidating the functional roles of PD-L1+ exosomes in immune suppression, as current methods lack the ability to precisely and simultaneously characterize and monitor exosome secretion and the corresponding immune modulation on site. To address this, we developed an integrated microfluidic platform that combines a digital nanoplasmonic immunoassay with a cell-on-a-chip system, enabling in situ monitoring of PD-L1+ exosome secretion and exosome-mediated T cell immune responses. This nanoplasmonic immunoassay integrated cell-on-a-chip (NIIC) creates a localized co-cultured microenvironment that facilitates exosome-mediated cellular interactions without direct contact. The NIIC employs machine-learning assisted signal processing for highly sensitive detection of both exosomes and cytokines, providing spatial and quantitative analysis of immune modulation in situ. Using this system, we demonstrated that PD-L1+ exosomes from cancer cells significantly suppressed IFN-γ and IL-2 secretion in neighboring T cells, offering direct insights into exosome-mediated immune suppression. The NIIC platform represents a powerful tool for advancing the understanding of exosome-driven immune modulation and holds potential for predicting clinical responses to anti-PD-1/PD-L1 therapies, paving the way for more personalized cancer immunotherapy strategies.

"Take-home" functional electrical stimulation for depression: protocol for a prototype development and proof of concept randomized controlled trial

BACKGROUND

One-third of patients with major depressive disorder (MDD) will not achieve a clinically meaningful response to available conventional treatments. More effective neurostimulation treatments are difficult to access and are associated with high hospital delivery costs. Patients would benefit from more efficacious and well-tolerated home-based neurostimulation treatments, which could be self-administered at a frequency required to treat MDD, maintain response, and reduce relapse. A potential novel intervention for MDD is bilateral functional electrical stimulation (FES) of the facial muscles. The portable FES stimulator delivers electrical current to excitable tissues and is suitable for home-based use. Based on the preliminary work demonstrating the feasibility of FES for MDD, the proposed study will develop a viable prototype for a "take-home" FES device and perform a proof-of-concept feasibility trial for participants with MDD.

METHODS

This is a single-site, pilot, double-blind, randomized, sham-controlled clinical trial, where 20 participants will receive 20 sessions of FES over 4 weeks. The trial will evaluate the feasibility, tolerability, and safety of home-based FES for MDD. We will also collect data on the preliminary therapeutic effects of FES on depressive symptoms and associated anxiety, quality of life, and sleep. Eligible participants will have three on-site visits including one mask development visit, one mask delivery visit, and one follow-up visit at the end of the study. They will also attend 25 online visits including a screening visit, a baseline visit, 20 days of FES treatment (sham or active), and three post-stimulation follow-up visits.

DISCUSSION

Data obtained from this trial will be used to optimize the home-based FES prototype and design a follow-up, multi-site, large-scale randomized control trial to assess the effectiveness of take-home FES. The existing evidence suggests that FES of the facial muscles can reduce MDD symptoms by enhancing positive facial feedback and altering the interoceptive bias associated with MDD, but its exact mechanism of action is still under debate. Additional trials with neuroimaging outcomes are needed to elucidate the mechanism of action of FES and the corresponding changes in the central nervous system.

TRIAL REGISTRATION

This trial has been registered at the National Library of Medicine, National Center for Biotechnology Information (ClinicalTrials.gov: NCT06261177 . Registered on January 4, 2024).

The cerebellum in frontotemporal dementia: From neglected bystander to potential neuromodulatory target. A narrative review

BACKGROUND

Though cortical changes in frontotemporal dementia (FTD) are well-documented, the cerebellum's role, closely linked to these areas, remains unclear.

OBJECTIVES

To provide evidence on cerebellar involvement in FTD across clinical, genetic, imaging, neuropathological, and neurophysiological perspectives. Additionally, we sought evidence supporting the application of cerebellar non-invasive brain stimulation (NIBS) in FTD for both diagnostic and therapeutic purposes.

METHODS

We performed a literature review using MEDLINE (via PubMed), Scopus, and Web of Science databases.

RESULTS

We emphasized the involvement of specific cerebellar regions which differentiate each FTD subtypes and may account for some of the characteristic symptoms. Furthermore, we highlighted peculiarities in FTD genetic alterations. Finally, we outlined neurophysiological evidence supporting a role for the cerebellum in FTD pathogenesis.

CONCLUSION

The cerebellum is critically involved in the FTD spectrum. Moreover, it can be speculated that cerebellar modulation, as already shown in other neurodegenerative disorders, could restore the interneuronal intracortical circuits typically impaired in FTD patients, providing clinical improvements and fundamental outcome measures in clinical trials.

Predictors of Placebo Response in the Study of Oxytocin in Autism to Improve Reciprocal Social Behaviors

Background: Although randomized clinical trials (RCTs) have investigated several treatments for social communication difficulties and repetitive behavior in autism, none has yet shown consistent superiority over placebo. Placebo response in autism RCTs may impede the ability to detect meaningful treatment effects. Objective: We sought to identify individual-level predictors of placebo response in Study of Oxytocin in Autism to improve Reciprocal Social Behaviors (SOARS-B), a 24-week RCT of intranasal oxytocin for social impairment in autistic youth. In our primary analysis, we examined predictors of change in the Aberrant Behavior Checklist-modified Social Withdrawal (ABC-mSW) score at 24 weeks in SOARS-B participants taking placebo. Secondary analyses examined predictors of ABC-mSW change at 12 weeks and of Clinical Global Impressions-Improvement at 24 and 12 weeks. We also examined predictors of response among SOARS-B participants taking oxytocin. Methods: For each analysis, we first used lasso (least absolute shrinkage and selection operator) regression to identify potentially influential predictors from a large group that included demographic factors, rating scale data, and prescribed medications. We then estimated an unpenalized linear regression model for the outcome of interest that included only variables retained by the optimal lasso. We considered variables with statistically significant coefficients to be influential predictors. Results: Higher baseline ABC-mSW score was the only significant predictor of greater ABC-mSW change in the placebo group at 24 and 12 weeks. Conclusions: In SOARS-B, higher baseline severity on a measure of reciprocal social communication predicted greater placebo response. This is consistent with the finding that lower social communication adaptive functioning was associated with greater placebo response in recent RCTs of balovaptan for social impairment in autism. However, it contrasts with findings from a trial of citalopram for repetitive behavior in autism, in which lower baseline severity of a composite of autistic and mood symptoms predicted greater placebo response. This may indicate that different factors contribute to placebo response in different symptom domains.

Transcranial focused ultrasound targeting the default mode network for the treatment of depression

Introduction

Up to 50% of individuals fail to respond to current depression treatments. Repetitive negative thought and default mode network hyperconnectivity are central in depression and can potentially be targeted using novel neuromodulation techniques. This community-based study assessed whether a treatment using non-invasive transcranial focused ultrasound targeting the default mode network can decrease depression symptoms and repetitive negative thought, and improve quality of life.

Methods

Study recruitment began in August 2023 and ended in February 2024. Twenty individuals aged 18 - 50 were enrolled from among 247 screened. Exclusion criteria included history of psychosis/mania, acute suicidality, MRI contraindications, pregnancy, and medical and neurological factors that may complicate diagnosis or brain function. Participants completed up to three weeks of transcranial ultrasound (11 sessions) targeting the anterior medial prefrontal cortex; ten minutes per session. Depression severity (Beck Depression Inventory - II and the Hamilton Depression Rating Scale), repetitive negative thought (Perseverative Thinking Questionnaire), and quality of life (World Health Organization Quality of Life Scale) were outcomes.

Results

This sample was young (mean 30.4 years ± 10.0), predominantly female (75%), with moderate to severe depression and high comorbidity. Fifty percent of participants endorsed current psychiatric medication use. Ten percent of subjects dropped out of the study due to time constraints. Significant decreases in depression were observed over the course of treatment on self-report, 10.9 (p < 0.001, CI = -13.55, -7.92) and interview depression ratings, 4.2 (p < 0.001, CI = -5.85, -2.62), as well as significant decreases in repetitive negative thought, 8.4 (p <0.001, CI = -10.55, -6.03). Improvements in physical and psychological well-being were also observed over the course of treatment, 7.2 (p < 0.001, CI = 3.64, 10.63) and 11.2 (p < 0.001, CI = 7.79, 14.49), respectively, as well as improvements in environment satisfaction, 5.0 (p =0.001, CI = 2.24, 7.56).

Discussion

Non-invasive transcranial focused ultrasound holds promise as a treatment for depression holds promise as a treatment for depression, however, future work including control arms is required to ascertain its causal role in depression.

Clinical trial registration

https://clinicaltrials.gov/study/NCT06320028intr=Ultrasound&cond=depression&locStr=Arizona&country=United%20States&state=Arizona&rank=1, identifier NCT06320028.

Serum KNG and FVIII may serve as potential biomarkers for depression

BACKGROUND

The global burden of major depressive disorder (MDD) is rising, with current diagnostic methods hindered by significant subjectivity and low inter-rater reliability. Several studies have implied underlying link between coagulation-related proteins, such as kininogen (KNG) and coagulation factor VIII (FVIII), and depressive symptoms, offering new insights into the exploration of depression biomarkers. This study aims to elucidate the roles of KNG and FVIII in depression, potentially providing a foundational basis for biomarker research in this field.

METHODS

A three-part experiment was conducted: (1) we measured serum levels of KNG and FVIII in the chronic unpredictable mild stress (CUMS) model; (2) KNG adeno-associated-virus overexpression (KNG-AAV-OE) model was constructed to further investigate the roles of KNG and FVIII. Meanwhile, quantity PCR, western blotting and immunofluorescence staining detected the KNG-FVIII pathway. (3) Peripheral blood samples were gathered from healthy control (HC, N = 21), as well as first-episode drug-naive patients with MDD (FEDN-MDD, N = 21), to further confirm the association between KNG, FVIII and depression.

RESULTS

Firstly, serum KNG and FVIII levels were significantly elevated in the CUMS model. Then, the rats exhibited pronounced depressive-like behaviors in the KNG-AAV-OE model, with corresponding increases in serum KNG and FVIII. Lastly, clinical data showed increased KNG and FVIII levels in FEDN-MDD compared to HC. Furthermore, KNG and FVIII levels exhibited a strong positive correlation with the scores of the 24-item Hamilton Depression Scale and the 14-item Hamilton Anxiety Scale.

CONCLUSION

To sum up, this study highlights critical roles of serum KNG and FVIII in depression and the KNG-AAV-OE may lead the augment of FVIII in serum. Consequently, our research may offer new evidence and foundation for depression biomarkers research in the future.

Perspectives in treatment-resistant depression: esketamine and electroconvulsive therapy

Modern electroconvulsive therapy (ECT) and the approval of nasal esketamine for clinical use have significantly improved the approach to treatment-resistant depression (TRD), which is defined as non-response to at least two different courses of antidepressants with verified adherence to treatment, adequate dosage, and duration of treatment. The goal of this literature review is to present the newest evidence regarding efficacy and safety. Furthermore, we aim to provide an overview of future perspectives in this field of research, for example, regarding structural and molecular effects. Both treatment methods will be critically evaluated for their individual advantages, disadvantages, and response rates. Firstly, we will discuss the well-established method of ECT and its different treatment modalities. Secondly, we will discuss the properties of ketamine, the discovery of its antidepressive effects and the route to clinical approval of the esketamine nasal spray. We will comment on research settings which have evaluated intravenous ketamine against ECT. The decision-making process between esketamine nasal spray or ECT should include the assessment of contraindications, age, severity of disease, presence of psychotic symptoms, patient preference and treatment accessibility. We conclude that both treatment options are highly effective in TRD. If both are indicated, pragmatically esketamine will be chosen before ECT; however, ECT studies in ketamine non-responders are missing.

Nutritional Strategies in Major Depression Disorder: From Ketogenic Diet to Modulation of the Microbiota-Gut-Brain Axis

Major depressive disorder (MDD) is a leading cause of disability worldwide. While traditional pharmacological treatments are effective for many cases, a significant proportion of patients do not achieve full remission or experience side effects. Nutritional interventions hold promise as an alternative or adjunctive approach, especially for treatment-resistant depression. This review examines the potential role of nutrition in managing MDD through addressing biological deficits and modulating pathways relevant to its pathophysiology. Specifically, it explores the ketogenic diet and gut microbiome modulation through various methods, including probiotics, prebiotics, synbiotics, postbiotics, and fecal microbiota transplantation. Numerous studies link dietary inadequacies to increased MDD risk and deficiencies in nutrients like omega-3 s, vitamins D and B, magnesium, and zinc. These deficiencies impact neurotransmitters, inflammation, and other biological factors in MDD. The gut-brain axis also regulates mood, stress response, and immunity, and disruptions are implicated in MDD. While medications aid acute symptoms, nutritional strategies may improve long-term outcomes by preventing relapse and promoting sustained remission. This comprehensive review aims to provide insights into nutrition's multifaceted relationship with MDD and its potential for developing more effective integrated treatment approaches.

miRNAs in Major Depression: Possible Association of miR-17 and miR-92 with Childhood Traumas

Objective

Psychosocial and genetic factors are considered to play roles in the etiological mechanisms of major depressive disorder (MDD). The involvement of miRNAs in the etiopathogenesis of depression and childhood traumas is still unclear. This study aims to reveal potential differences in miRNA levels between patients with depression and healthy individuals and assess their connection to childhood traumas.

Methods

This study included fifty patients with MDD and 33 healthy controls. The targeting of the 3'UTR regions of the BDNF, SLC6A4/SERT/5-HTT, HTR1a, and HTR2a genes by 8 miRNAs was analyzed to explore their potential involvement in depression and childhood traumas. The Hamilton Depression Rating Scale, the Hamilton Anxiety Rating Scale, and the Childhood Trauma Questionnaire-28 were administered to the participants.

Results

Patients with MDD exhibited significantly lower expression levels of miR-335 and miR-4775, as well as significantly higher expression levels of miR-15, miR-16, miR-17, miR-92, miR-182, and miR-206, when compared to healthy controls using the 2-(ΔΔCt) method. Only miR-17 and miR-92 were associated with childhood traumas in the patients with depression.

Conclusion

Our research reveals a possible involvement of miRNAs in the pathophysiology of depression and highlights a potential relationship between childhood traumas and specific miRNAs in depressed patients.

Fright of Long-Haul Flights: Focus on Travel-Associated Thrombosis

Travel-related thrombosis (TRT), encompassing deep vein thrombosis (DVT) and pulmonary embolism (PE), poses a significant health risk associated with long-haul travel. Prolonged immobility, dehydration, and cabin pressure changes during flights contribute to venous stasis, hypoxia, and hypercoagulability, collectively increasing the risk of venous thromboembolism (VTE). While the absolute risk of TRT is relatively low in the population overall, it rises significantly among high-risk groups, including individuals with a history of VTE, thrombophilia, pregnancy, or recent surgery. This review explores the epidemiology, pathophysiology, clinical presentation, and diagnostic evaluation of TRT while highlighting the importance of early recognition and prevention. Risk assessment models can provide guidance for identifying at-risk travelers. Preventive strategies include pharmacological prophylaxis with low-molecular-weight heparin (LMWH) for high-risk individuals and nonpharmacological measures such as compression stockings, intermittent pneumatic compression, mobility exercises, and hydration. Guidelines from international societies recommend tailored interventions based on individual risk profiles, as randomized controlled trials are scarce. Given that long-haul travel dramatically expands, this review critically analyzes the available TRT management strategies in various clinical settings, aiming to increase awareness of this global health issue.

Cumulative effects of stress-sensitivity factors on depressive symptoms and suicide risk: A prospective study

BACKGROUND

Sensitivity to stress is essential in the onset, clinical symptoms, course, and prognosis of major depressive disorder (MDD). Meanwhile, it was unclear how variously classified but connected stress-sensitivity variables affect MDD. We hypothesize that high-level trait- and state-related stress-sensitivity factors may have different cumulative effects on the clinical symptoms and follow-up outcomes of MDD.

AIM

To investigate how stress-sensitivity factors added up and affected MDD clinical symptoms and follow-up results.

METHODS

In this prospective study, 281 MDD patients were enrolled from a tertiary care setting. High-level stress-sensitivity factors were classified as trait anxiety, state anxiety, perceived stress, and neuroticism, with a total score in the top quartile of the research cohort. The cumulative effects of stress-sensitivity factors on cognitive dysfunction, disability and functional impairment, suicide risk, and depressive and anxiety symptoms were examined using an analysis of variance with linear trend analysis. Correlations were investigated further using multiple regression analysis.

RESULTS

Regarding high-level stress-sensitivity factors, 53.40% of patients had at least one at baseline, and 29.61% had two or more. Four high-level stress-sensitivity components had significant cumulative impacts on MDD symptoms at baseline (all P < 0.001). Perceived stress predicted the greatest effect sizes of state-related factors on depressive symptoms (partial η 2 = 0.153; standardized β = 0.195; P < 0.05). The follow-up outcomes were significantly impacted only by the high-level trait-related components, mainly when it came to depressive symptoms and suicide risk, which were predicted by trait anxiety and neuroticism, respectively (partial η 2 = 0.204 and 0.156; standardized β = 0.247 and 0.392; P < 0.05).

CONCLUSION

To enhance outcomes of MDD and lower the suicide risk, screening for stress-sensitivity factors and considering multifaceted measures, mainly focusing on trait-related ones, should be addressed clinically.

The efficacy of vortioxetine in the acute treatment of major depressive disorder: A systematic review and meta-analysis

BACKGROUND

Among the available pharmacological treatments for acute major depressive disorder (MDD), vortioxetine, a serotonin transporter inhibitor (SERT), has been widely used for its multimodal action on serotonin neurotransmission, which produces essential changes also on glutamate, gamma amino butyric acid (GABA), norepinephrine, acetylcholine, and dopamine.

AIM

This systematic review and meta-analysis aimed to evaluate the acute efficacy of vortioxetine across multiple dosing and to evaluate whether there is a dose-response effect and as well there is a dose-response issue with respect to side effects in acute depression.

METHODS

According to PRISMA guidelines, we systematically searched three major electronic databases (PubMed/MEDLINE, PsycINFO, and Cochrane Central Register of Controlled Trials) for Randomized Controlled Trial (RCT) studies published between January 2013 and April 2024. Twenty-four studies were included in the review and two meta-analyses were conducted to determine whether the mean Montgomery-Asberg Depression Rating Scale (MADRS) scale values in the placebo groups differ significantly from the mean MADRS scale values in the group receiving vortioxetine 10 mg or vortioxetine 20 mg.

RESULTS

Vortioxetine significantly improved acute depression severity, anxiety symptoms, and cognitive function, with high response and remission rates in acute MDD. It was also well tolerated with a relatively low occurrence of severe or serious treatment-emergent adverse events (TEAEs). Observing the results of the meta-analysis, the effect was significant for both vortioxetine 10 and 20 mg, with a greater effect size for vortioxetine 20 mg.

CONCLUSION

Vortioxetine should be considered efficacious as a first- and second-line therapy.

Evaluation of Nanocurcumin Effects on Depressive-Like Behaviors in Rats and Determination of Serum BDNF and Serotonin Levels

INTRODUCTION

Major depressive disorder (MDD) is a highly prevalent psychiatric condition worldwide, and it is the leading cause of disability globally. Turmeric, an aromatic perennial herb widely used in traditional Asian medicine and cuisine, contains curcumin, which has several biological effects, including a pseudoantidepressant effect. However, curcumin's low bioavailability limits its effectiveness. This study evaluated nanocurcumin (NCUR) effects on depressive-like behaviors and examined serum BDNF and serotonin levels in a chronic stress model in rats. Behavioral assessments and biochemical indicators elucidated NCUR's antidepressant-like properties.

METHODS

In this experimental study, 30 adult male rats were randomly divided into six groups and exposed to unexpected chronic mild stress (UCMS). The groups included: control (CG), stress control (SCG), fluoxetine (FLU) treatment (20 mg/kg), and three NCUR doses (20, 40, and 80 mg/kg). Before UCMS exposure, rats underwent a sucrose preference test (SPT). Depressive behaviors were then assessed using the open field test (OFT), forced swimming test (FST), and tail suspension test (TST) on days 27 and 28. Blood samples were collected on day 28 to measure serum Brain derived neurotrophic factor (BDNF) and serotonin levels using enzyme-linked immunosorbent assay (ELISA).

RESULTS

NCUR treatment significantly alleviated depressive-like behaviors in stressed rats. The sucrose preference index of the SCG decreased after 26 days of stress, while NCUR (all doses) and FLU reversed this effect. In the FST and TST, immobility time was significantly reduced in the NCUR and FLU groups compared to the SCG (p < 0.05). The OFT also showed that the SCG had significantly fewer crossings compared to treated groups (p < 0.05). Additionally, NCUR treatment significantly increased serum BDNF and serotonin levels compared to the SCG.

CONCLUSIONS

This study demonstrates that NCUR exerts antidepressant-like effects, improving depressive behaviors and increasing BDNF and serotonin levels in rats exposed to chronic stress. NCUR may offer a promising alternative for the treatment of MDD.

The effects and mechanisms of chai shao jie yu granules on chronic unpredictable mild stress (CUMS)-induced depressive rats based on network pharmacology

ETHNOPHARMACOLOGICAL RELEVANCE

Chai Shao Jie Yu Granules (CSJY) is a renowned and time-honored formula employed in clinical practice for the management of various conditions, notably depression. Depression, a prevalent psychiatric disorder, poses challenges with limited effective treatment options. Traditional herbal medicines have garnered increasing attention in the realm of combating depression, being perceived as safer alternatives to pharmacotherapy.

AIM OF THE STUDY

To explore the effects and mechanisms of CSJY in chronic unpredictable mild stress (CUMS)-induced depression.

MATERIALS AND METHODS

Rat models of CUMS-induced depression were established, and the rats were randomly allocated into six groups: Control, CUMS, CUMS + Paroxetine (PX), CUMS + CSJY-L, CUMS + CSJY-M, and CUMS + CSJY-H. Throughout the study, the rats' body weight was monitored. Depression-related behaviors were assessed using the sucrose preference test (SPT) and open field test (OFT). High-performance liquid chromatography-mass spectrometry (HPLC-MS) measured monoamine neurotransmitters in the rat cortex and hippocampus. We measured adrenocorticotropic hormone (ACTH), corticosterone (CORT), and corticotropin-release hormone (CRH) levels in rat serum. Additionally, network pharmacology was employed to predict relevant molecular targets and potential mechanisms, followed by in vivo validation. Western blot analysis was conducted to evaluate the protein levels of 5-hydroxytryptamine/serotonin receptor 1A (5-HT1A) and Glutamate (Glu)-related proteins, such as p-GluA1, GluA1, p-GluN1, GluN1, p-GluN2A and GluN2A in the hippocampus.

RESULTS

In behavioral assessments, CUMS rats exhibited depressive behaviors, which were ameliorated by CSJY or PX treatment. Moreover, CSJY or PX treatment increased serotonin (5-HT) levels. It reduced the kynurenine/tryptophan (KYN/TRP) and gamma-aminobutyric acid/glutamate (GABA/Glu) in the hippocampus and cortex, as well as reduced serum levels of ACTH, CORT and CRH. Furthermore, CSJY or PX administration enhanced the decreased expression of p-GluN1/GluN1 while upregulating 5-HT1A and p-GluA1/GluA1 levels in the CUMS group.

CONCLUSION

CSJY demonstrated the ability to alleviate depressive behaviors in CUMS-induced depression rats, potentially through the inhibition of the hypothalamic-pituitary-adrenal (HPA) axis, modulation of monoamine neurotransmitters, and glutamatergic neurons. These findings suggest that CSJY could serve as a promising treatment option for depression.

Screening Depression in Ischemic Heart Disease: Gender Differences and Psychosocial Implications Using a Self-Developed Questionnaire

Background/Objectives: Ischemic heart disease (IHD) is a major cause of morbidity and mortality worldwide, and it is frequently associated with depression, which can negatively impact both clinical outcomes and quality of life. The relationship between IHD and depression is complex, with gender differences influencing the severity of depression and willingness to seek psychological support. This study aims to evaluate the prevalence and severity of depression in IHD patients using the Depression Assessment in Ischemic Heart Disease Questionnaire (DA-IHDQ) and to explore gender differences in depression severity and help-seeking behavior. Methods: This cross-sectional study involved 103 patients diagnosed with IHD (62 males, 41 females), with data collected from two general practice clinics in Arad, Romania, between November 2023 and November 2024. Participants completed the DA-IHDQ, a self-developed questionnaire designed to screen for depression in IHD patients. The questionnaire categorizes depression severity into four grades: minimal to no depression, mild depression, moderate depression, and severe depression. The study also assessed participants' interest in receiving psychological support. Descriptive and inferential statistical analyses were performed, and the psychometric properties of DA-IHDQ, including its reliability (Cronbach's α = 0.957) and diagnostic accuracy (sensitivity = 90.0%, specificity = 98.8%), were evaluated. Results: Mild depression was the most common grade in both male and female IHD patients, while severe depression was the least prevalent. Males had a higher overall frequency of depression, with more cases of mild depression, whereas females had a higher proportion of moderate and severe depression. Additionally, males demonstrated significantly lower interest in psychological or psychiatric help, while females showed greater willingness to seek mental health support. The DA-IHDQ exhibited strong internal consistency and high diagnostic accuracy in identifying depressive symptoms in IHD patients. The DA-IHDQ exhibited strong internal consistency and high diagnostic accuracy in identifying depressive symptoms in IHD patients. Conclusions: The findings highlight the high prevalence of depression in IHD patients and the gender disparities in mental health engagement, emphasizing the need for targeted psychological interventions. The DA-IHDQ demonstrated strong psychometric properties and could serve as an effective screening tool for depression in IHD care. The DA-IHDQ demonstrated strong psychometric properties and could serve as an effective screening tool for depression in IHD care. Future research should explore the barriers to help-seeking among male IHD patients and develop gender-sensitive strategies to improve access to mental health services.

Pharmaco-Multiomics: A New Frontier in Precision Psychiatry

The landscape of psychiatric care is poised for transformation through the integration of pharmaco-multiomics, encompassing genomics, proteomics, metabolomics, transcriptomics, epigenomics, and microbiomics. This review discusses how these approaches can revolutionize personalized treatment strategies in psychiatry by providing a nuanced understanding of the molecular bases of psychiatric disorders and individual pharmacotherapy responses. With nearly one billion affected individuals globally, the shortcomings of traditional treatments, characterized by inconsistent efficacy and frequent adverse effects, are increasingly evident. Advanced computational technologies such as artificial intelligence (AI) and machine learning (ML) play crucial roles in processing and integrating complex omics data, enhancing predictive accuracy, and creating tailored therapeutic strategies. To effectively harness the potential of pharmaco-multiomics approaches in psychiatry, it is crucial to address challenges such as high costs, technological demands, and disparate healthcare systems. Additionally, navigating stringent ethical considerations, including data security, potential discrimination, and ensuring equitable access, is essential for the full realization of this approach. This process requires ongoing validation and comprehensive integration efforts. By analyzing recent advances and elucidating how different omic dimensions contribute to therapeutic customization, this review aims to highlight the promising role of pharmaco-multiomics in enhancing patient outcomes and shifting psychiatric treatments from a one-size-fits-all approach towards a more precise and patient-centered model of care.

Exploring the association between BDNF related signaling pathways and depression: A literature review

Depression is a debilitating mental disease that inflicts significant harm upon individuals and society, yet effective treatment options remain elusive. At present, the pathogenesis of multiple depression is not fully clear, but its occurrence can be related to biological or environmental pathways, among which Brain-derived neurotrophic factor (BDNF) can unequivocally act on two downstream receptors, tyrosine kinase receptor (TrkB) and the p75 neurotrophin receptor (p75NTR), then affect the related signal pathways, affecting the occurrence and development of depression. Accumulating studies have revealed that BDNF-related pathways are critical in the pathophysiology of depression, and their interaction can further influence the efficacy of depression treatment. In this review, we mainly summarized the signaling pathways associated with BDNF and classified them according to different receptors and related molecules, providing promising insights and future directions in the treatment of depression.

Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral response. Recent studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region-specific, particularly involving the corticolimbic system, including the ventral tegmental area, nucleus accumbens, prefrontal cortex, amygdala, and hippocampus. Determining how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress psychopathology. In this review, we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of depression. We focused on associated molecular pathways and neural circuits, with special attention to the brain-derived neurotrophic factor-tropomyosin receptor kinase B signaling pathway and the ventral tegmental area-nucleus accumbens dopamine circuit. We determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature, severity, and duration of stress, especially in the above-mentioned brain regions of the corticolimbic system. Therefore, BDNF might be a biological indicator regulating stress-related processes in various brain regions.

Probiotics for adults with major depressive disorder compared with antidepressants: a systematic review and network meta-analysis

CONTEXT

Despite recent advances in antidepressants in treating major depression (MDD), their usage is marred by adverse effects and social stigmas. Probiotics may be an efficacious adjunct or standalone treatment, potentially circumventing the aforementioned issues with antidepressants. However, there is a lack of head-to-head clinical trials between these 2 interventions.

OBJECTIVE

A systematic review and network meta-analysis was conducted to compare the efficacy and acceptability of these 2 interventions in treating MDD.

DATA SOURCES

Six databases and registry platforms for the clinical trial were systematically searched to identify the eligible double-blinded, randomized controlled trials published between 2015 and 2022.

DATA EXACTION

Two authors selected independently the placebo-controlled trials of antidepressants and microbiota-targeted interventions (prebiotics, probiotics, and synbiotics) used for the treatment of MDD in adults (≥18 years old). Standardized mean differences (SMDs) of depressive symptom scores from individual trials were pooled for network meta-analysis (PROSPERO no. CRD42020222305).

RESULTS

Forty-two eligible trials covering 22 interventions were identified, of which 16 were found to be effective in MDD treatment and the certainty of evidence was moderate to very low. When all trials were considered, compared with placebo, SMDs of interventions ranged from -0.16 (95% credible interval: -0.30, -0.04) for venlafaxine to -0.81 (-1.06, -0.52) for escitalopram. Probiotics were superior to brexpiprazole (SMD [95% credible interval]: -0.42 [-0.68, -0.17]), cariprazine (-0.44 [-0.69, -0.24]), citalopram (-0.37 [-0.66, -0.07]), duloxetine (-0.26, [-0.51, -0.04]), desvenlafaxine (-0.38 [-0.63, -0.14]), ketamine (-0.32 [-0.66, -0.01]), venlafaxine (-0.47 [-0.73, -0.23]), vilazodone (-0.37 [-0.61, -0.12]), vortioxetine (-0.39 [-0.63, -0.15]), and placebo (-0.62 [-0.86, -0.42]), and were noninferior to other antidepressants. In addition, probiotics ranked the second highest in the treatment hierarchy after escitalopram. Long-term treatment (≥8 weeks) using probiotics showed the same tolerability as antidepressants.

CONCLUSION

Probiotics, compared with antidepressants and placebo, may be efficacious as an adjunct or standalone therapy for treating MDD.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42020222305.

From feeling depressed to getting diagnosed: Determinants of a diagnosis of depression after experiencing symptoms

BACKGROUND

Receiving a formal diagnosis for a depressive disorder is a prerequisite for getting treatment, yet the illness inherently complicates care-seeking. Thus, understanding the process from depression symptoms to diagnosis is crucial.

AIMS

This study aims to disentangle (1) risk factors for depression symptoms from (2) facilitators and barriers to receiving a diagnosis after experiencing depression symptoms.

METHOD

We used data from the German Socio-Economic Panel. Within a sample of 40,238 individuals, we investigated factors predicting depression symptoms, assessed with the SF-12 Mental Component Summary score. Additionally, within a subsample of 3,444 individuals with depression symptoms, we analyzed factors associated with receiving a first-ever diagnosis in the subsequent year. These factors included health status, demographics, socioeconomic characteristics, personality traits, and health infrastructure.

RESULTS

Depression symptoms were associated with chronic physical conditions, female gender, middle age, living alone, fewer close friends, being unemployed or not working, lower income, lower agreeableness, conscientiousness, or extraversion, and higher neuroticism. Additionally, poorer overall mental and physical health, female gender, older age, unemployment, and neuroticism were positively associated with receiving a formal diagnosis. Access to general practitioners and psychotherapists was not associated with receiving a formal diagnosis.

CONCLUSIONS

Our results replicated previous research on risk factors for depression symptoms. Moreover, some risk factors for experiencing symptoms (female gender, middle age, unemployment, and higher neuroticism) subsequently also facilitated receiving a formal depression diagnosis. Thus, this study underscores the importance of considering the chronological sequence in the process from depression symptoms to diagnosis.

The disappointment centre of the brain gets exciting: a systematic review of habenula dysfunction in depression

BACKGROUND

The habenula is an epithalamic brain structure that acts as a neuroanatomical hub connecting the limbic forebrain to the major monoamine centres. Abnormal habenula activity is increasingly implicated in depression, with a surge in publications on this topic in the last 5 years. Direct activation of the habenula is sufficient to induce a depressive phenotype in rodents, suggesting a causative role in depression. However, the molecular basis of habenula dysfunction in depression remains elusive and it is unclear how the preclinical advancements translate to the clinical field.

METHODS

A systematic literature search was conducted following the PRISMA guidelines. The two search terms depress* and habenula* were applied across Scopus, Web of Science and PubMed databases. Studies eligible for inclusion must have examined the habenula in clinical cases of depression or preclinical models of depression and compared their measures to an appropriate control.

RESULTS

Preclinical studies (n = 63) measured markers of habenula activity (n = 16) and neuronal firing (n = 22), largely implicating habenula hyperactivity in depression. Neurotransmission was briefly explored (n = 15), suggesting imbalances within excitatory and inhibitory habenula signalling. Additional preclinical studies reported neuroconnectivity (n = 1), inflammatory (n = 3), genomic (n = 3) and circadian rhythm (n = 3) abnormalities. Seven preclinical studies (11%) included both males and females. From these, 5 studies (71%) reported a significant difference between the sexes in at least one habenula measure taken. Clinical studies (n = 24) reported abnormalities in habenula connectivity (n = 15), volume (n = 6) and molecular markers (n = 3). Clinical studies generally included male and female subjects (n = 16), however, few of these studies examined sex as a biological variable (n = 6).

CONCLUSIONS

Both preclinical and clinical evidence suggest the habenula is disrupted in depression. However, there are opportunities for sex-specific analyses across both areas. Preclinical evidence consistently suggests habenula hyperactivity as a primary driver for the development of depressive symptoms. Clinical studies support gross habenula abnormalities such as altered activation, connectivity, and volume, with emerging evidence of blood brain barrier dysfunction, however, progress is limited by a lack of detailed molecular analyses and limited imaging resolution.

Electroconvulsive Therapy Regulates Brain Connectome Dynamics in Patients With Major Depressive Disorder

BACKGROUND

Electroconvulsive therapy (ECT) is an effective treatment for patients with major depressive disorder (MDD), but its underlying neural mechanisms remain largely unknown. The aim of this study was to identify changes in brain connectome dynamics after ECT in MDD and to explore their associations with treatment outcome.

METHODS

We collected longitudinal resting-state functional magnetic resonance imaging data from 80 patients with MDD (50 with suicidal ideation [MDD-SI] and 30 without [MDD-NSI]) before and after ECT and 37 age- and sex-matched healthy control participants. A multilayer network model was used to assess modular switching over time in functional connectomes. Support vector regression was used to assess whether pre-ECT network dynamics could predict treatment response in terms of symptom severity.

RESULTS

At baseline, patients with MDD had lower global modularity and higher modular variability in functional connectomes than control participants. Network modularity increased and network variability decreased after ECT in patients with MDD, predominantly in the default mode and somatomotor networks. Moreover, ECT was associated with decreased modular variability in the left dorsal anterior cingulate cortex of MDD-SI but not MDD-NSI patients, and pre-ECT modular variability significantly predicted symptom improvement in the MDD-SI group but not in the MDD-NSI group.

CONCLUSIONS

We highlight ECT-induced changes in MDD brain network dynamics and their predictive value for treatment outcome, particularly in patients with SI. This study advances our understanding of the neural mechanisms of ECT from a dynamic brain network perspective and suggests potential prognostic biomarkers for predicting ECT efficacy in patients with MDD.

Genetic-epigenetic-neuropeptide associations in mood and anxiety disorders: Toward personalized medicine

Mood and anxiety disorders are complex psychiatric conditions shaped by the multifactorial interplay of genetic, epigenetic, and neuropeptide factors. This review aims to elucidate the intricate interactions among these factors and their potential in advancing personalized medicine. We examine the genetic underpinnings, emphasizing key heritability studies and specific gene associations. The role of epigenetics is discussed, focusing on how environmental factors can modify gene expression and contribute to these disorders. Neuropeptides, including substance P, CRF, AVP, NPY, galanin, and kisspeptin, are evaluated for their involvement in mood regulation and their potential as therapeutic targets. Additionally, we address the emerging role of the gut microbiome in modulating neuropeptide activity and its connection to mood disorders. This review integrates findings from genetic, epigenetic, and neuropeptide research, offering a comprehensive overview of their collective impact on mood and anxiety disorders. By highlighting novel insights and potential clinical applications, we underscore the importance of a multi-omics approach in developing personalized treatment strategies. Future research directions are proposed to address existing knowledge gaps and translate these findings into clinical practice. Our review provides a fresh perspective on the pathophysiology of mood and anxiety disorders, paving the way for more effective and individualized therapies.

Geographic Variation in Receipt of Electroconvulsive Therapy Among US Department of Veterans Affairs Patients

OBJECTIVE

The aim of the study is to characterize geographic variation in electroconvulsive therapy (ECT) receipt across the United States (US) Veterans Administration (VA) healthcare system and explore potential explanatory variables.

BACKGROUND

ECT is a highly effective and rapidly acting treatment for multiple mental disorders. However, there may be geographic disparities in access to ECT across the US.

METHODS

We conducted a retrospective, cross-sectional study of all VA patients from 2003 to 2019 to describe rates of ECT within previously defined mental health referral regions (MHRRs). We investigated differences between the population that received ECT and other patients with a mental health condition severe enough to warrant inpatient hospitalization. We analyzed crude as well as age, sex, race, and ethnicity-adjusted ECT rates and explored potential explanatory variables. We compared MHRRs in the highest and lowest tertiles of ECT receipt.

RESULTS

The rate of ECT receipt among VA patients was 1.7 individuals per 10,000 (SD = 1.6) annually. Among 115 MHRRs, the rate ranged from a minimum of 0 (effectively no utilization in some areas) to a maximum of 8.9. Regression analysis revealed few significant explanatory variables.

CONCLUSIONS

There is significant geographic variation in ECT receipt among VA patients that is not well explained by population characteristics and may be indicative of suboptimal treatment for several mental health conditions.

An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection

Major Depressive Disorder (MDD) is an affective disorder that can lead to persistent sadness and a decline in the quality of life, increasing the risk of suicide. Utilizing multimodal data such as electroencephalograms and patient interview audios can facilitate the timely detection of MDD. However, existing depression detection methods either consider only a single modality or do not fully account for the differences and similarities between modalities in multimodal approaches, potentially overlooking the latent information inherent in various modal data. To address these challenges, we propose EMO-GCN, a multimodal depression detection method based on an adaptive multi-graph neural network. By employing graph-based methods to model data from various modalities and extracting features from them, the potential correlations between modalities are uncovered. The model's performance on the MODMA dataset is outstanding, achieving an accuracy (ACC) of 96.30%. Ablation studies further confirm the effectiveness of the model's individual components.The experimental results of EMO-GCN demonstrate the application prospects of graph-based multimodal analysis in the field of mental health, offering new perspectives for future research.

The neurodegenerative hypothesis of depression and the influence of antidepressant medications

Depression is a complex neurological disease that holds many theories on its aetiology and pathophysiology. The monoamine strategy of treating depression with medications to increase levels of monoamines in the (extra)synapse, primarily through the inhibition of monoamine transporters, does not always work, as seen in patients that lack a response to multiple anti-depressant exposures, as well as a lack of depressive symptoms in healthy volunteers exposed to monoamine reduction. Depression is increasingly being understood not as a single condition, but as a complex interplay of adaptations in various systems, including inflammatory responses and neurotransmission pathways in the brain. This understanding has led to the development of the neurodegenerative hypothesis of depression. This hypothesis, which is gaining widespread acceptance posits that both oxidative stress and inflammation play significant roles in the pathophysiology of depression. This article is a review of the literature focused on neuroinflammation in depression, as well as summarised studies of anti-inflammatory and antioxidant effects of antidepressants.

A Phase 1 Assessment of the Safety, Tolerability, Pharmacokinetics and Pharmacodynamics of (2R,6R)-Hydroxynorketamine in Healthy Volunteers

(R,S)-Ketamine (ketamine) is a dissociative anesthetic that also possesses analgesic and antidepressant activity. Undesirable dissociative side effects and misuse potential limit expanded use of ketamine in several mental health disorders despite promising clinical activity and intensifying medical need. (2R,6R)-Hydroxynorketamine (RR-HNK) is a metabolite of ketamine that lacks anesthetic and dissociative activity but maintains antidepressant and analgesic activity in multiple preclinical models. To enable future assessments in selected human indications, we report the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) of RR-HNK in a Phase 1 study in healthy volunteers (NCT04711005). A six-level single-ascending dose (SAD) (0.1-4 mg/kg) and a two-level multiple ascending dose (MAD) (1 and 2 mg/kg) study was performed using a 40-minute IV administration emulating the common practice for ketamine administration for depression. Safety assessments showed RR-HNK possessed a minimal adverse event profile and no serious adverse events at all doses examined. Evaluations of dissociation and sedation demonstrated that RR-HNK did not possess anesthetic or dissociative characteristics in the doses examined. RR-HNK PK parameters were measured in both the SAD and MAD studies and exhibited dose-proportional increases in exposure. Quantitative electroencephalography (EEG) measurements collected as a PD parameter based on preclinical findings and ketamine's established effect on gamma-power oscillations demonstrated increases of gamma power in some participants at the lower/mid-range doses examined. Cerebrospinal fluid examination confirmed RR-HNK exposure within the central nervous system (CNS). Collectively, these data demonstrate RR-HNK is well tolerated with an acceptable PK profile and promising PD outcomes to support the progression into Phase 2.

Effect of acupressure in the third eye point (EX-HN 3) on psychological distress, comfort and physiologic parameters among patients undergoing coronary angiography

AIM

The present study aimed to investigate the effect of acupressure on comfort, anxiety, stress, depression, and vital signs in patients undergoing coronary angiography.

METHODS

This randomized clinical trial was conducted on patients who underwent coronary angiography in Tehran, Iran. Seventy patients were randomly assigned to the intervention and control groups. The intervention protocol consisted of 20 min of acupressure applied to the Yintang point, and standard medical care was applied to the control group. Depression, Anxiety, and Stress questionnaire (DASS-21), General Comfort Questionnaire (GCQ) questionnaires, and standard monitoring were used as data collection tools before and after intervention, as well as after angiography. Data were analyzed using an independent sample t-test, chi-squared, and analysis of variance of repeated measures in SPSS software, and the level of significance was set at 0.05.

FINDINGS

The results showed that before acupressure, there was no statistically significant difference between the two groups. Anxiety and stress scores and comfort levels decreased significantly after the intervention (p < 0.001), while no significant difference was observed in the depression score (p = 0.873). There was a significant decrease in the blood pressure, breathing rate, and heart rate in the intervention group.

CONCLUSION

Acupressure can reduce the anxiety and stress of angiography candidates and make them more comfortable. It also reduces the blood pressure, breathing rate, and heart rate. Further studies at different pressure points and on a larger and more detailed scale are necessary.

Therapeutic potential of ketamine in management of epilepsy: Clinical implications and mechanistic insights

Epilepsy, a widespread neurological disorder, affects approximately 50 million people worldwide. This disorder is typified by recurring seizures due to abnormal neuron communication in the brain. The seizures can lead to severe ischemia and hypoxia, potentially threatening patients' lives. However, with proper diagnosis and treatment, up to 70 % of patients can live without seizures. The causes of epilepsy are complex and multifactorial, encompassing genetic abnormalities, structural brain anomalies, ion channel dysfunctions, neurotransmitter imbalances, neuroinflammation, and immune system involvement. These factors collectively disrupt the crucial balance between excitation and inhibition within the brain, leading to epileptic seizures. The management of treatment-resistant epilepsy remains a considerable challenge, necessitating innovative therapeutic approaches. Among emerging potential treatments, ketamine-a drug traditionally employed for anesthesia and depression-has demonstrated efficacy in reducing seizures. It is noteworthy that, independent of its anti-epileptic effects, ketamine has been found to improve the balance between excitatory and inhibitory (E/I) activities in the brain. The balance is crucial for maintaining normal neural function, and its disruption is widely considered a key driver of epileptic seizures. By acting on N-methyl-D-aspartate (NMDA) receptors and other potential mechanisms, ketamine may regulate neuronal excitability, reduce excessive synchronized neural activity, and counteract epileptic seizures. This positive impact on E/I balance reinforces the potential of ketamine as a promising drug for treating epilepsy, especially in patients who are insensitive to traditional anti-epileptic drugs. This review aims to consolidate the current understanding of ketamine's therapeutic role in epilepsy. It will focus its impact on neuronal excitability and synaptic plasticity, its neuroprotective qualities, and elucidate the drug's potential mechanisms of action in treating epilepsy. By scrutinizing ketamine's impact and mechanisms in various types of epilepsy, we aspire to contribute to a more comprehensive and holistic approach to epilepsy management.

Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment

BACKGROUND

Depression is a pervasive mental health condition, particularly affecting older adults, where early detection and intervention are essential to mitigate its impact. This study presents an explainable multi-layer dynamic ensemble framework designed to detect depression and assess its severity, aiming to improve diagnostic precision and provide insights into contributing health factors.

METHODS

Using data from the National Social Life, Health, and Aging Project (NSHAP), this framework combines classical machine learning models, static ensemble methods, and dynamic ensemble selection (DES) approaches across two stages: detection and severity prediction. The depression detection stage classifies individuals as normal or depressed, while the severity prediction stage further classifies depressed cases as mild or moderate-severe. Finally, a confirmation depression scale prediction model estimates depression severity scores to support the two stages. Explainable AI (XAI) techniques are applied to improve model interpretability, making the framework more suitable for clinical applications.

RESULTS

The framework's FIRE-KNOP DES algorithm demonstrated high efficacy, achieving 88.33% accuracy in depression detection and 83.68% in severity prediction. XAI analysis identified mental and non-mental health indicators as significant factors in the framework's performance, emphasizing the value of these features for accurate depression assessment.

CONCLUSIONS

This study emphasizes the potential of dynamic ensemble learning in mental health assessments, particularly in detecting and evaluating depression severity. The findings provide a strong foundation for future use of dynamic ensemble frameworks in mental health assessments, demonstrating their potential for practical clinical applications.

Advancing ketamine in the treatment hierarchy for refractory depression

Evidence indicates that ketamine is highly effective, has a lower side effect profile and is better tolerated compared to many augmentation strategies for refractory depression. This, combined with data on psychiatric treatment outcome mediators, suggests that earlier intervention with ketamine could improve outcomes for patients suffering from refractory depression.

Optimizing Antidepressant Efficacy: Generalizable Multimodal Neuroimaging Biomarkers for Prediction of Treatment Response

Major depressive disorder (MDD) is a common and often severe condition that profoundly diminishes quality of life for individuals across ages and demographic groups. Unfortunately, current antidepressant and psychotherapeutic treatments exhibit limited efficacy and unsatisfactory response rates in a substantial number of patients. The development of effective therapies for MDD is hindered by the insufficiently understood heterogeneity within the disorder and its elusive underlying mechanisms. To address these challenges, we present a target-oriented multimodal fusion framework that robustly predicts antidepressant response by integrating structural and functional connectivity data (sertraline: R2 = 0.31; placebo: R2 = 0.22). Remarkably, the sertraline response biomarker is further tested on an independent escitalopram-medicated cohort of MDD patients, validating its generalizability (p = 0.01) and suggesting an overlap of psychopharmacological mechanisms across selective serotonin reuptake inhibitors. Through the model, we identify multimodal neuroimaging biomarkers of antidepressant response and observe that sertraline and placebo show distinct predictive patterns. We further decompose the overall predictive patterns into constitutive network constellations with generalizable structural-functional co-variation, which exhibit treatment-specific association with personality traits and behavioral/cognitive task performance. Our innovative and interpretable multimodal framework provides novel and reliable insights into the intricate neuropsychopharmacology of antidepressant treatment, paving the way for advances in precision medicine and development of more targeted antidepressant therapeutics.

Acupuncture and Escitalopram for Treating Major Depression Clinical Study (AE-TMDCS): protocol for a factorial randomised controlled trial

INTRODUCTION

Major depressive disorder (MDD), the second leading cause of disability globally, is considered to be associated with a consequent deterioration in the quality of life and can lead to a major economic burden on medical service and suicide-related costs. Previous research has shown that acupuncture may be beneficial for treating MDD. However, there is a lack of rigorous evidence from previous studies comparing acupuncture with antidepressant medications. This study aims to assess the therapeutic potential of acupuncture in the management of depressive disorders.

METHODS AND ANALYSIS

A multicentre, randomised, participant-blind, sham-controlled, 2×2 factorial clinical trial, Acupuncture and Escitalopram for Treating Major Depression Clinical Study, aims to compare the efficacy of acupuncture versus escitalopram in treating depression. This study will be conducted at three hospitals in China, enrolling 260 patients with moderate-to-severe major depression, as defined by DSM-5 criteria and Hamilton Depression Rating Scale (HDRS-17) Scores above 17. Participants will be randomly assigned in equal proportions to one of four groups (acupuncture/escitalopram, sham acupuncture/escitalopram, acupuncture/placebo and sham acupuncture/placebo) and undergo 30 sessions across 10 weeks. The primary outcome is change in HDRS-17 Score and secondary outcomes include BDI, Clinical Global Impression, Generalised Anxiety Disorder-7 and Mini-Mental State Examination Scores, alongside potential biological markers.

ETHICS AND DISSEMINATION

Ethical approval for the study was granted by the Ethics Committees of the Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine (2023-7th-HIRB-020), Shanghai Mental Health Centre (2022-86) and Shanghai Pudong New Area Hospital of Traditional Chinese Medicine (2023-003). Informed consent will be obtained from all participants. The study's findings are intended for publication in a scholarly journal.

TRIAL REGISTRATION

NCT05901571.

Causal relationships between neuropsychiatric disorders and nonalcoholic fatty liver disease: A bidirectional Mendelian randomization study

BACKGROUND

Increasing evidences suggest that nonalcoholic fatty liver disease (NAFLD) is associated with neuropsychiatric disorders. Nevertheless, whether there were causal associations between them remained vague. A causal association between neuropsychiatric disorders and NAFLD was investigated in this study.

METHODS

We assessed the published genome-wide association study summary statistics for NAFLD, seven mental disorder-related diseases and six central nervous system dysfunction-related diseases. The causal relationships were first assessed using two-sample and multivariable Mendelian randomization (MR). Then, sensitivity analyses were performed, followed by a reverse MR analysis to determine whether reverse causality is possible. Finally, we performed replication analyses and combined the findings from the above studies.

RESULTS

Our meta-analysis results showed NAFLD significantly increased the risk of anxiety disorders (OR = 1.016, 95% CI = 1.010-1.021, P value < 0.0001). In addition, major depressive disorder was the potential risk factor for NAFLD (OR = 1.233, 95% CI = 1.063-1.430, P value = 0.006). Multivariable MR analysis showed that the causal effect of major depressive disorder on NAFLD remained significant after considering body mass index, but the association disappeared after adjusting for the effect of waist circumference. Furthermore, other neuropsychiatric disorders and NAFLD were not found to be causally related.

CONCLUSIONS

These results implied causal relationships of NAFLD with anxiety disorders and Major Depressive Disorder. This study highlighted the need to recognize and understand the connection between neuropsychiatric disorders and NAFLD to prevent the development of related diseases.

Timing and cortical region matter: theta power differences between teenagers affected by Major Depression and healthy controls

In adults affected by Major Depressive Disorder (MDD), most findings point to higher electroencephalographic (EEG) theta power during wake compared to healthy controls (HC) as a potential biomarker aiding the diagnostic process or subgrouping for stratified treatment. Besides these group differences, theta power is modulated by time of day, sleep/wake history, and age. Thus, we aimed at assessing if the time of recording alters theta power in teenagers affected by MDD or HC. Standardized wake EEG power was assessed with high-density EEG in 15 children and adolescents with MDD and in 15 age- and sex-matched HC in the evening and morning. Using a two-way ANOVA, group, time, and their interaction were tested. In patients, the current severity of depression was rated using the Children's Depression Rating Scale. Broadband EEG power was lower in the morning after sleep, with a significant interaction (group x time) in central regions in the 4-6 Hz range. In MDD relative to HC, theta power was decreased over occipital areas in the evening and increased over frontal areas in the morning. A higher frontal theta power was correlated with more severe depressive mood in the morning but not in the evening. This was a cross-sectional study design, including patients on antidepressant medication. In conclusion, depending on time of recording, region-specific opposite differences of theta power were found between teenagers with MDD and HC. These findings stress the importance of the time of the recording when investigating theta power's relationship to psychopathology.

ElectroRetinoGraphy toward an exploration of the therapeutic potential of antidepressants in patients with major depressive disorder: A scoping review of the literature

Major Depressive Disorder (MDD) is characterized by at least one major depressive episode. It requires medical attention typically involving the prescription of antidepressants. Remission in MDD patients is often difficult to achieve because of the limited effectiveness of these drugs. Nowadays, numerous patients undergo various antidepressant treatments, with subjective changes in their personal experiences being regularly monitored. Therefore, it is essential to find clinical and objective tools that offer a more tailored approach to antidepressant selection. The neurochemistry of the retina being similar to the brain, one promising approach would be to use ElectroRetinoGraphy (ERG) measurements on MDD patients requiring antidepressant treatment. Thus, the aim of this scoping review is to highlight effects of different classes of antidepressants on retinal function evaluated by full-field ERG (ffERG), Pattern ERG (PERG) and multifocal ERG (mfERG) waveforms in MDD patients. These ERG measurements could serve as pivotal indicators in defining patient profiles, facilitating a more objective and personalized approach to therapeutic interventions, thereby advancing precision psychiatry.

Profiling the combination of bupropion and dextromethorphan as a treatment option for major depressive disorder

INTRODUCTION

Major Depressive Disorder (MDD) is a common mental health disorder marked by sadness, hopelessness, and anhedonia. Various therapies exist, but their effectiveness is limited. Dextromethorphan hydrobromide combined with bupropion hydrochloride (Auvelity®) is a recently approved alternative for treating this condition in adults.

AREAS COVERED

This review summarizes the neurobiology of major depression and delves into the pharmacology, efficacy, safety, and tolerability of dextromethorphan plus bupropion in adult patients. It is based on observational studies, clinical trials, and other secondary studies obtained through systematic literature searches.

EXPERT OPINION

The combination of bupropion and dextromethorphan as a new pharmacotherapy for mental health is an interesting addition to the treatment options that can be used for MDD. The combination can be used in a range of scenarios, including as a first line therapy, as a second option when a patient has failed to achieve remission with a serotonin targeting agent, and for treatment resistant depression. Further research for other indications, including addiction disorders, may provide exciting results. Although a new combination, clinicians will be very familiar with both agents, increasing their acceptability. This pharmacotherapy also may bring increased impetus for discovering other combinations that may have beneficial synergistic effects.

The Wnt signaling pathway in major depressive disorder: A systematic review of human studies

Despite uncertainty about the specific molecular mechanisms driving major depressive disorder (MDD), the Wnt signaling pathway stands out as a potentially influential factor in the pathogenesis of MDD. Known for its role in intercellular communication, cell proliferation, and fate, Wnt signaling has been implicated in diverse biological phenomena associated with MDD, spanning neurodevelopmental to neurodegenerative processes. In this systematic review, we summarize the functional differences in protein and gene expression of the Wnt signaling pathway, and targeted genetic association studies, to provide an integrated synthesis of available human data examining Wnt signaling in MDD. Thirty-three studies evaluating protein expression (n = 15), gene expression (n = 9), or genetic associations (n = 9) were included. Only fifteen demonstrated a consistently low overall risk of bias in selection, comparability, and exposure. We found conflicting observations of limited and distinct Wnt signaling components across diverse tissue sources. These data do not demonstrate involvement of Wnt signaling dysregulation in MDD. Given the well-established role of Wnt signaling in antidepressant response, we propose that a more targeted and functional assessment of Wnt signaling is needed to understand its role in depression pathophysiology. Future studies should include more components, assess multiple tissues concurrently, and follow a standardized approach.

Factors influencing the tendency of residual symptoms in patients with depressive disorders: a longitudinal study

BACKGROUND

Residual symptoms of depressive disorders are serious health problems. However, the progression process is hardly predictable due to high heterogeneity of the disease. This study aims to: (1) classify the patterns of changes in residual symptoms based on homogeneous data, and (2) identify potential predictors for these patterns.

METHODS

In this study, we conducted a data-driven Latent Class Growth Analysis (LCGA) to identify distinct tendencies of changes in residual symptoms, which were longitudinally quantified using the QIDS-SR16 at baseline and 1/3/6 months post-baseline for depressed patients. The association between baseline characteristics (e.g. clinical features and cognitive functions) and different progression tendencies were also identified.

RESULTS

The tendency of changes in residual symptoms was categorized into four classes: "light residual symptom decline (15.4%)", "residual symptom disappears (39.3%)", "steady residual symptom (6.3%)" and "severe residual symptom decline (39.0%)". We observed that the second class displayed more favorable recuperation outcomes than the rest of patients. The severity, recurrence, polypharmacy, and medication adherence of symptoms are intricately linked to the duration of residual symptoms' persistence. Additionally, clinical characteristics including sleep disturbances, depressive moods, alterations in appetite or weight, and difficulties with concentration have been identified as significant factors in the recovery process.

CONCLUSIONS

Our research findings indicate that certain clinical characteristics in patients with depressive disorders are associated with poor recovery from residual symptoms following acute treatment. This revelation holds significant value in the targeted attention to specific patients and the development of early intervention strategies for residual symptoms accordingly.

Predicting Workers' Stress: Application of a High-Performance Algorithm Using Working-Style Characteristics

BACKGROUND

Work characteristics, such as teleworking rate, have been studied in relation to stress. However, the use of work-related data to improve a high-performance stress prediction model that suits an individual's lifestyle has not been evaluated.

OBJECTIVE

This study aims to develop a novel, high-performance algorithm to predict an employee's stress among a group of employees with similar working characteristics.

METHODS

This prospective observational study evaluated participants' responses to web‑based questionnaires, including attendance records and data collected using a wearable device. Data spanning 12 weeks (between January 17, 2022, and April 10, 2022) were collected from 194 Shionogi Group employees. Participants wore the Fitbit Charge 4 wearable device, which collected data on daily sleep, activity, and heart rate. Daily work shift data included details of working hours. Weekly questionnaire responses included the K6 questionnaire for depression/anxiety, a behavioral questionnaire, and the number of days lunch was missed. The proposed prediction model used a neighborhood cluster (N=20) with working-style characteristics similar to those of the prediction target person. Data from the previous week predicted stress levels the following week. Three models were compared by selecting appropriate training data: (1) single model, (2) proposed method 1, and (3) proposed method 2. Shapley Additive Explanations (SHAP) were calculated for the top 10 extracted features from the Extreme Gradient Boosting (XGBoost) model to evaluate the amount and contribution direction categorized by teleworking rates (mean): low: <0.2 (more than 4 days/week in office), middle: 0.2 to <0.6 (2 to 4 days/week in office), and high: ≥0.6 (less than 2 days/week in office).

RESULTS

Data from 190 participants were used, with a teleworking rate ranging from 0% to 79%. The area under the curve (AUC) of the proposed method 2 was 0.84 (true positive vs false positive: 0.77 vs 0.26). Among participants with low teleworking rates, most features extracted were related to sleep, followed by activity and work. Among participants with high teleworking rates, most features were related to activity, followed by sleep and work. SHAP analysis showed that for participants with high teleworking rates, skipping lunch, working more/less than scheduled, higher fluctuations in heart rate, and lower mean sleep duration contributed to stress. In participants with low teleworking rates, coming too early or late to work (before/after 9 AM), a higher/lower than mean heart rate, lower fluctuations in heart rate, and burning more/fewer calories than normal contributed to stress.

CONCLUSIONS

Forming a neighborhood cluster with similar working styles based on teleworking rates and using it as training data improved the prediction performance. The validity of the neighborhood cluster approach is indicated by differences in the contributing features and their contribution directions among teleworking levels.

TRIAL REGISTRATION

UMIN UMIN000046394; https://www.umin.ac.jp/ctr/index.htm.

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

Efforts to develop an individualized treatment rule (ITR) to optimize major depressive disorder (MDD) treatment with antidepressant medication (ADM), psychotherapy, or combined ADM-psychotherapy have been hampered by small samples, small predictor sets, and suboptimal analysis methods. Analyses of large administrative databases designed to approximate experiments followed iteratively by pragmatic trials hold promise for resolving these problems. The current report presents a proof-of-concept study using electronic health records (EHR) of n = 43,470 outpatients beginning MDD treatment in Veterans Health Administration Primary Care Mental Health Integration (PC-MHI) clinics, which offer access not only to ADMs but also psychotherapy and combined ADM-psychotherapy. EHR and geospatial databases were used to generate an extensive baseline predictor set (5,865 variables). The outcome was a composite measure of at least one serious negative event (suicide attempt, psychiatric emergency department visit, psychiatric hospitalization, suicide death) over the next 12 months. Best-practices methods were used to adjust for nonrandom treatment assignment and to estimate a preliminary ITR in a 70% training sample and to evaluate the ITR in the 30% test sample. Statistically significant aggregate variation was found in overall probability of the outcome related to baseline predictors (AU-ROC = 0.68, S.E. = 0.01), with test sample outcome prevalence of 32.6% among the 5% of patients having highest predicted risk compared to 7.1% in the remainder of the test sample. The ITR found that psychotherapy-only was the optimal treatment for 56.0% of patients (roughly 20% lower risk of the outcome than if receiving one of the other treatments) and that treatment type was unrelated to outcome risk among other patients. Change in aggregate treatment costs of implementing this ITR would be negligible, as 16.1% fewer patients would be prescribed ADMs and 2.9% more would receive psychotherapy. A pragmatic trial would be needed to confirm the accuracy of the ITR.

Language or rating scales based classifications of emotions: computational analysis of language and alexithymia

Rating scales are the dominating tool for the quantitative assessment of mental health. They are often believed to have a higher validity than language-based responses, which are the natural way of communicating mental states. Furthermore, it is unclear how difficulties articulating emotions-alexithymia-affect the accuracy of language-based communication of emotions. We investigated whether narratives describing emotional states are more accurately classified by questions-based computational analysis of language (QCLA) compared to commonly used rating scales. Additionally, we examined how this is affected by alexithymia. In Phase 1, participants (N = 348) generated narratives describing events related to depression, anxiety, satisfaction, and harmony. In Phase 2, another set of participants summarized the emotions described in the narratives of Phase 1 in five descriptive words and rating scales (PHQ-9, GAD-7, SWLS, and HILS). The words were quantified with a natural language processing model (i.e., LSA) and classified with machine learning (i.e., multinomial regression). The results showed that the language-based responses can be more accurate in classifying the emotional states compared to the rating scales. The degree of alexithymia did not influence the correctness of classification based on words or rating scales, suggesting that QCLA is not sensitive to alexithymia. However, narratives generated by people with high alexithymia were more difficult to classify than those generated by people with low alexithymia. These results suggest that the assessment of mental health may be improved by language-based responses analyzed by computational methods compared to currently used rating scales.

The efficacy of automated feedback after internet-based depression screening (DISCOVER): an observer-masked, three-armed, randomised controlled trial in Germany

BACKGROUND

Despite the availability of effective treatments, most depressive disorders remain undetected and untreated. Internet-based depression screening combined with automated feedback of screening results could reach people with depression and lead to evidence-based care. We aimed to test the efficacy of two versions of automated feedback after internet-based screening on depression severity compared with no feedback.

METHODS

DISCOVER was an observer-masked, three-armed, randomised controlled trial in Germany. We recruited individuals (aged ≥18 years) who were undiagnosed with depression and screened positive for depression on an internet-based self-report depression rating scale (Patient Health Questionnaire-9 [PHQ-9] ≥10 points). Participants were randomly assigned 1:1:1 to automatically receive no feedback, non-tailored feedback, or tailored feedback on the depression screening result. Randomisation was stratified by depression severity (moderate: PHQ-9 score 10-14 points; severe: PHQ-9 score ≥15 points). Participants could not be masked but were kept unaware of trial hypotheses to minimise expectancy bias. The non-tailored feedback included the depression screening result, a recommendation to seek professional diagnostic advice, and brief general information about depression and its treatment. The tailored feedback included the same basic information but individually framed according to the participants' symptom profiles, treatment preferences, causal symptom attributions, health insurance, and local residence. Research staff were masked to group allocation and outcome assessment as these were done using online questionnaires. The primary outcome was change in depression severity, defined as change in PHQ-9 score 6 months after random assignment. Analyses were conducted following the intention-to-treat principle for participants with at least one follow-up visit. This trial was registered at ClinicalTrials.gov, NCT04633096.

FINDINGS

Between Jan 12, 2021, and Jan 31, 2022, 4878 individuals completed the internet-based screening. Of these, 1178 (24%) screened positive for depression (mean age 37·1 [SD 14·2] years; 824 [70%] woman, 344 [29%] men, and 10 [1%] other gender identity). 6 months after random assignment, depression severity decreased by 3·4 PHQ-9 points in the no feedback group (95% CI 2·9-4·0; within-group d 0·67; 325 participants), by 3·5 points in the non-tailored feedback group (3·0-4·0; within-group d 0·74; 319 participants), and by 3·7 points in the tailored feedback group (3·2-4·3; within-group d 0·71; 321 participants), with no significant differences among the three groups (p=0·72). The number of participants seeking help for depression or initiating psychotherapy or antidepressant treatment did not differ among study groups. The results remained consistent when adjusted for fulfilling the DSM-5-based criteria for major depressive disorder or subjective belief of having a depressive disorder. Negative effects were reported by less than 1% of the total sample 6 months after random assignment.

INTERPRETATION

Automated feedback following internet-based depression screening did not reduce depression severity or prompt sufficient depression care in individuals previously undiagnosed with but affected by depression.

FUNDING

German Research Foundation.

The clinical perspective on late-onset depression in European real-world treatment settings

The clinical phenotype of the so-called late-onset depression (LOD) affecting up to 30% of older adults and yielding heterogeneous manifestations concerning symptoms, severity and course has not been fully elucidated yet. This European, cross-sectional, non-interventional, naturalistic multicenter study systematically investigated socio-demographic and clinical correlates of early-onset depression (EOD) and LOD (age of onset ≥ 50 years) in 1410 adult in- and outpatients of both sexes receiving adequate psychopharmacotherapy. In a total of 1329 patients (94.3%) with known age of disease onset, LOD was identified in 23.2% and was associated with unemployment, an ongoing relationship, single major depressive episodes, lower current suicidal risk and higher occurrence of comorbid hypertension. In contrast, EOD was related to higher rates of comorbid migraine and additional psychotherapy. Although the applied study design does not allow to draw any causal conclusions, the present results reflect broad clinical settings and emphasize easily obtainable features which might be characteristic for EOD and LOD. A thoughtful consideration of age of onset might, hence, contribute to optimized diagnostic and therapeutic processes in terms of the globally intended precision medicine, ideally enabling early and adequate treatment allocations and implementation of respective prevention programs.

Serum brain-derived neurotrophic factor, Val66Met polymorphism and open-label SSRI treatment response in Major Depressive Disorder

BACKGROUND

Brain-derived neurotrophic factor (BDNF) has been implicated in the therapeutic action of antidepressants and possibly in the pathophysiology of Major Depressive Disorder (MDD). Clinical studies of peripheral blood levels of BDNF in MDD have provided conflicting results, and there are also conflicting reports regarding the predictive value of peripheral BDNF levels for antidepressant treatment response. The present study investigated the association between serum BDNF levels, the BDNF Val66Met polymorphism (rs6265), clinical characteristics and SSRI treatment response.

METHODS

This open-label clinical trial included 99 physically healthy, unmedicated MDD participants and 70 healthy controls. Following a baseline assessment, 53 of the MDD participants completed an eight-week, open-label course of SSRI antidepressant treatment. Serum BDNF levels and Hamilton Rating Scale for Depression (HDRS) ratings were examined at baseline and after eight weeks of treatment. Antidepressant response was defined as a decrease in HDRS ratings of > 50% from baseline to the end-of-treatment. Finally, serum BDNF levels and SSRI treatment response were compared between MDD participants who were heterozygous or homozygous for the Met allele ("Met-carriers") and individuals homozygous for the Val allele.

RESULTS

Serum BDNF levels at baseline were significantly higher in the unmedicated MDD participants compared to healthy controls (15.90 ng/ml vs 13.75 ng/ml, t (167) = -2.041, p = 0.043). In a post-hoc analysis, this difference was seen in the female but not male participants (16.85 ng/ml vs 14.06 ng/ml, t (91) = -2.067, p = 0.042; 14.86 ng/ml vs 13.31 ng/ml, t (74) = -0.923, p = 0.359). Baseline serum BDNF levels were not associated with treatment responder status or with absolute change in depression ratings over the course of 8-week SSRI treatment (p = 0.599). In both Responders and Non-responders, no significant changes in serum BDNF levels were found over the 8-week period of SSRI-treatment (16.32 ng/ml vs 16.23 ng/ml, t (18) = 0.060, p = 0.953; 16.04 ng/ml vs 15.61 ng/ml, t (29) = 0.438, p = 0.665, respectively). Further, no differences were found in serum BDNF levels prior to treatment between MDD Met-carriers and MDD Val/Val homozygotes (15.32 ng/ml vs 16.36 ng/ml, t (85) = 0.747, p = 0.457), and no differences were found in post-treatment serum BDNF (F1,42= 0.031, p = 0.862). However, MDD Val/Val homozygotes showed significantly greater antidepressant responses at week 8 than did MDD Met-carriers (F1,46 = 4.366, p = 0.043).

CONCLUSION

Our results do not support sufficient reliability of using peripheral BDNF to characterize depression or to predict antidepressant response in clinical use. The role of sex in moderating BDNF differences in depression, and the role of BDNF gene polymorphisms in predicting antidepressant response, remain to be further investigated. We conclude that, while central nervous system BDNF is likely involved in antidepressant efficacy and in aspects of MDD pathophysiology, its reflection in serum BDNF levels is of limited diagnostic or prognostic utility.

Susceptibility to Treatment-Resistant Depression Within Families

Importance

Antidepressant responses and the phenotype of treatment-resistant depression (TRD) are believed to have a genetic basis. Genetic susceptibility between the TRD phenotype and other psychiatric disorders has also been established in previous genetic studies, but population-based cohort studies have not yet provided evidence to support these outcomes.

Objective

To estimate the TRD susceptibility and the susceptibility between TRD and other psychiatric disorders within families in a nationwide insurance cohort with extremely high coverage and comprehensive health care data.

Design, Setting, and Participants

This cohort study assessed data from the Taiwan national health insurance database across entire population (N = 26 554 001) between January 2003 and December 2017. Data analysis was performed from August 2021 to April 2023. TRD was defined as having experienced at least 3 distinct antidepressant treatments in the current episode, each with adequate dose and duration, based on the prescribing records. Then, we identified the first-degree relatives of individuals with TRD (n = 34 467). A 1:4 comparison group (n = 137 868) of first-degree relatives of individuals without TRD was arranged for the comparison group, matched by birth year, sex, and kinship.

Main Outcomes and Measures

Modified Poisson regression analyses were performed and adjusted relative risks (aRRs) and 95% CIs were calculated for the risk of TRD, the risk of other major psychiatric disorders, and different causes of mortality.

Results

This study included 172 335 participants (88 330 male and 84 005 female; mean [SD] age at beginning of follow-up, 22.9 [18.1] years). First-degree relatives of individuals with TRD had lower incomes, more physical comorbidities, higher suicide mortality, and increased risk of developing TRD (aRR, 9.16; 95% CI, 7.21-11.63) and higher risk of other psychiatric disorders than matched control individuals, including schizophrenia (aRR, 2.36; 95% CI, 2.10-2.65), bipolar disorder (aRR, 3.74; 95% CI, 3.39-4.13), major depressive disorder (aRR, 3.65; 95% CI, 3.44-3.87), attention-deficit/hyperactivity disorders (aRR, 2.38; 95% CI, 2.20-2.58), autism spectrum disorder (aRR, 2.26; 95% CI, 1.86-2.74), anxiety disorder (aRR, 2.71; 95% CI, 2.59-2.84), and obsessive-compulsive disorder (aRR, 3.14; 95% CI, 2.70-3.66). Sensitivity and subgroup analyses validated the robustness of the findings.

Conclusions and Relevance

To our knowledge, this study is the largest and perhaps first nationwide cohort study to demonstrate TRD phenotype transmission across families and coaggregation with other major psychiatric disorders. Patients with a family history of TRD had an increased risk of suicide mortality and tendency toward antidepressant resistance; therefore, more intensive treatments for depressive symptoms might be considered earlier, rather than antidepressant monotherapy.

Non-invasive vagus nerve stimulation conditions increased invigoration and wanting in depression

BACKGROUND

Major depressive disorder (MDD) is often marked by impaired motivation and reward processing, known as anhedonia. Many patients do not respond to first-line treatments, and improvements in motivation can be slow, creating an urgent need for rapid interventions. Recently, we demonstrated that transcutaneous auricular vagus nerve stimulation (taVNS) acutely boosts effort invigoration in healthy participants, but its effects on depression remain unclear.

OBJECTIVE

To assess the impact of taVNS on effort invigoration and maintenance in a sample that includes patients with MDD, evaluating the generalizability of our findings.

METHODS

We used a single-blind, randomized crossover design in 30 patients with MDD and 29 matched (age, sex, and BMI) healthy control participants (HCP).

RESULTS

Consistent with prior findings, taVNS increased effort invigoration for rewards in both groups during Session 1 (p = .040), particularly for less wanted rewards in HCP (pboot < 0.001). However, invigoration remained elevated in all participants, and no acute changes were observed in Session 2 (Δinvigoration = 3.3, p = .12). Crucially, throughout Session 1, we found taVNS-induced increases in effort invigoration (pboot = 0.008) and wanting (pboot = 0.010) in patients with MDD, with gains in wanting maintained across sessions (Δwanting = 0.06, p = .97).

CONCLUSIONS

Our study replicates the invigorating effects of taVNS in Session 1 and reveals its generalizability to depression. Furthermore, we expand upon previous research by showing taVNS-induced conditioning effects on invigoration and wanting within Session 1 in patients that were largely sustained. While enduring motivational improvements present challenges for crossover designs, they are highly desirable in interventions and warrant further follow-up research.

Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets

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.

Cost-effectiveness and threshold analysis of deep brain stimulation vs. treatment-as-usual for treatment-resistant depression

Treatment-resistant depression (TRD) affects approximately 2.8 million people in the U.S. with estimated annual healthcare costs of $43.8 billion. Deep brain stimulation (DBS) is currently an investigational intervention for TRD. We used a decision-analytic model to compare cost-effectiveness of DBS to treatment-as-usual (TAU) for TRD. Because this therapy is not FDA approved or in common use, our goal was to establish an effectiveness threshold that trials would need to demonstrate for this therapy to be cost-effective. Remission and complication rates were determined from review of relevant studies. We used published utility scores to reflect quality of life after treatment. Medicare reimbursement rates and health economics data were used to approximate costs. We performed Monte Carlo (MC) simulations and probabilistic sensitivity analyses to estimate incremental cost-effectiveness ratios (ICER; USD/quality-adjusted life year [QALY]) at a 5-year time horizon. Cost-effectiveness was defined using willingness-to-pay (WTP) thresholds of $100,000/QALY and $50,000/QALY for moderate and definitive cost-effectiveness, respectively. We included 274 patients across 16 studies from 2009-2021 who underwent DBS for TRD and had ≥12 months follow-up in our model inputs. From a healthcare sector perspective, DBS using non-rechargeable devices (DBS-pc) would require 55% and 85% remission, while DBS using rechargeable devices (DBS-rc) would require 11% and 19% remission for moderate and definitive cost-effectiveness, respectively. From a societal perspective, DBS-pc would require 35% and 46% remission, while DBS-rc would require 8% and 10% remission for moderate and definitive cost-effectiveness, respectively. DBS-pc will unlikely be cost-effective at any time horizon without transformative improvements in battery longevity. If remission rates ≥8-19% are achieved, DBS-rc will likely be more cost-effective than TAU for TRD, with further increasing cost-effectiveness beyond 5 years.