The epidemiology of depression across cultures

Deep brain stimulation of ventromedial prefrontal cortex reverses depressive-like behaviors via BDNF/TrkB signaling pathway in rats

AIM

Deep brain stimulation (DBS) is currently under investigation as a potential therapeutic approach for managing major depressive disorder (MDD) and ventromedial prefrontal cortex (vmPFC) is recognized as a promising target region. Therefore, the present study aimed to investigate a preclinical paradigm of bilateral vmPFC DBS and examine the molecular mechanisms underlying its antidepressant-like effects using chronic unpredictable stress (CUS) model in rats.

MAIN METHODS

Male rats were subjected to stereotaxic surgery and deep brain stimulation paradigm in non-stressed and CUS rats respectively, and the therapeutic effect of DBS were assessed by a series of behavioral tests including sucrose preference test, open field test, elevated plus maze test, and forced swim test. The potential involvement of the BDNF/TrkB signaling pathway and its downstream effects in this process were also investigated using western blot.

KEY FINDINGS

We identified that a stimulation protocol consisting of 130 Hz, 200 μA, 90 μs pulses administered for 5 h per day over a period of 7 days effectively mitigated CUS-induced depressive-like and anxiety-like behaviors in rats. These therapeutic effects were associated with the enhancement of the BDNF/TrkB signaling pathway and its downstream ERK1/2 activity.

SIGNIFICANCE

These findings provide valuable insights into the potential clinical utility of vmPFC DBS as an approach of improving the symptoms experienced by individuals with MDD. This evidence contributes to our understanding of the neurobiological basis of depression and offers promise for the development of more effective treatments.

Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review

BACKGROUND

Depression is one of the most significant health conditions in personal, social, and economic impact. The aim of this review is to summarize existing literature in which machine learning methods have been used in combination with Electronic Health Records for prediction of depression.

METHODS

Systematic literature searches were conducted within arXiv, PubMed, PsycINFO, Science Direct, SCOPUS and Web of Science electronic databases. Searches were restricted to information published after 2010 (from 1st January 2011 onwards) and were updated prior to the final synthesis of data (27th January 2022).

RESULTS

Following the PRISMA process, the initial 744 studies were reduced to 19 eligible for detailed evaluation. Data extraction identified machine learning methods used, types of predictors used, the definition of depression, classification performance achieved, sample size, and benchmarks used. Area Under the Curve (AUC) values more than 0.9 were claimed, though the average was around 0.8. Regression methods proved as effective as more developed machine learning techniques.

LIMITATIONS

The categorization, definition, and identification of the numbers of predictors used within models was sometimes difficult to establish, Studies were largely Western Educated Industrialised, Rich, Democratic (WEIRD) in demography.

CONCLUSION

This review supports the potential use of machine learning techniques with Electronic Health Records for the prediction of depression. All the selected studies used clinically based, though sometimes broad, definitions of depression as their classification criteria. The reported performance of the studies was comparable to or even better than that found in primary care. There are concerns with generalizability and interpretability.

Evaluating 17 methods incorporating biological function with GWAS summary statistics to accelerate discovery demonstrates a tradeoff between high sensitivity and high positive predictive value

Where sufficiently large genome-wide association study (GWAS) samples are not currently available or feasible, methods that leverage increasing knowledge of the biological function of variants may illuminate discoveries without increasing sample size. We comprehensively evaluated 17 functional weighting methods for identifying novel associations. We assessed the performance of these methods using published results from multiple GWAS waves across each of five complex traits. Although no method achieved both high sensitivity and positive predictive value (PPV) for any trait, a subset of methods utilizing pleiotropy and expression quantitative trait loci nominated variants with high PPV (>75%) for multiple traits. Application of functionally weighting methods to enhance GWAS power for locus discovery is unlikely to circumvent the need for larger sample sizes in truly underpowered GWAS, but these results suggest that applying functional weighting to GWAS can accurately nominate additional novel loci from available samples for follow-up studies.

Mendelian randomization studies of depression: evidence, opportunities, and challenges

BACKGROUND

Major depressive disorder (MDD) poses a significant social and economic burden worldwide. Identifying exposures, risk factors, and biological mechanisms that are causally connected to MDD can help build a scientific basis for disease prevention and development of novel therapeutic approaches.

METHODS

In this systematic review, we assessed the evidence for causal relationships between putative causal risk factors and MDD from Mendelian randomization (MR) studies, following PRISMA. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions.

RESULTS

We included methodological details and results from 52 articles. A causal link between lifestyle, metabolic, inflammatory biomarkers, particular pathological states and MDD is supported by MR investigations, although results for each category varied substantially.

CONCLUSIONS

While this review shows how MR can offer useful information for examining prospective treatment targets and better understanding the pathophysiology of MDD, some methodological flaws in the existing literature limit reliability of results and probably underlie their heterogeneity. We highlight perspectives and recommendations for future works on MR in psychiatry.

Association Between Maternal Mood Disorders and Schizophrenia and the Risk of Type 1 Diabetes in Offspring: A Nationwide Cohort Study

Objective

Our study aimed to determine whether mothers with bipolar disorder, major depressive disorder, schizophrenia, or schizoaffective disorder affected the risk of type 1 diabetes (T1D) in their offspring.

Methods

We conducted a nationwide cohort study by using data from Taiwan's National Health Insurance Research Database and the Maternal and Child Health Database from 2004 to 2018. A total of 2,556,640 mother-child pairs were identified. Cox proportional hazards models were used to compare the risk of T1D between children born to mothers with mood disorders and schizophrenia and those without.

Results

No significant difference in risk of T1D was observed between the offspring of mothers with major psychiatric disorders and those without (adjusted hazard ratio (aHR) of 0.86 with a 95% confidence interval (CI) of 0.58-1.24). In subgroup analysis, we found an aHR of 1.81 with a 95% CI of 0.83-3.82 in the maternal bipolar disorder on the risk of T1D in offspring and an aHR of 0.87 (95% CI: 0.59-1.25) in maternal major depressive disorder. In the schizophrenia/schizoaffective disorder group, aHR cannot be obtained due to lesser than three events in the analysis.

Conclusion

The risk of T1D in offspring of mothers with mood disorders and schizophrenia was not significant. However, children born to mothers with bipolar disorder may have a tendency to develop T1D. The relationship between maternal psychiatric disorders and the risk of T1D in offspring warrants further investigation in studies with longer follow-up periods.

Functional Dimerization of Serotonin Receptors: Role in Health and Depressive Disorders

Understanding the neurobiological underpinnings of depressive disorder constitutes a pressing challenge in the fields of psychiatry and neurobiology. Depression represents one of the most prevalent forms of mental and behavioral disorders globally. Alterations in dimerization capacity can influence the functional characteristics of serotonin receptors and may constitute a contributing factor to the onset of depressive disorders. The objective of this review is to consolidate the current understanding of interactions within the 5-HT receptor family and between 5-HT receptors and members of other receptor families. Furthermore, it aims to elucidate the role of such complexes in depressive disorders and delineate the mechanisms through which antidepressants exert their effects.

Nutritional considerations in major depressive disorder: current evidence and functional testing for clinical practice

Depression is a multifaceted condition with diverse underlying causes. Several contributing and inter-related factors such as genetic, nutritional, neurological, physiological, gut-brain-axis, metabolic and psychological stress factors play a role in the pathophysiology of depression. This review aims to highlight the role that nutritional factors play in the aetiology of depression. Secondly, we discuss the biomedical and functional pathology tests which measure these factors, and the current evidence supporting their use. Lastly, we make recommendations on how practitioners can incorporate the latest evidence-based research findings into clinical practice. This review highlights that diet and nutrition greatly affect the pathophysiology of depression. Nutrients influence gene expression, with folate and vitamin B12 playing vital roles in methylation reactions and homocysteine regulation. Nutrients are also involved in the tryptophan/kynurenine pathway and the expression of brain-derived neurotrophic factor (BDNF). Additionally, diet influences the hypothalamic-pituitary-adrenal (HPA) response and the composition and diversity of the gut microbiome, both of which have been implicated in depression. A comprehensive dietary assessment, combined with appropriate evaluation of biochemistry and blood pathology, may help uncover contributing factors to depressive symptoms. By employing such an approach, a more targeted and personalised treatment strategy can be devised, ultimately leading to improved patient outcomes.

Zero-shot personalization of speech foundation models for depressed mood monitoring

The monitoring of depressed mood plays an important role as a diagnostic tool in psychotherapy. An automated analysis of speech can provide a non-invasive measurement of a patient's affective state. While speech has been shown to be a useful biomarker for depression, existing approaches mostly build population-level models that aim to predict each individual's diagnosis as a (mostly) static property. Because of inter-individual differences in symptomatology and mood regulation behaviors, these approaches are ill-suited to detect smaller temporal variations in depressed mood. We address this issue by introducing a zero-shot personalization of large speech foundation models. Compared with other personalization strategies, our work does not require labeled speech samples for enrollment. Instead, the approach makes use of adapters conditioned on subject-specific metadata. On a longitudinal dataset, we show that the method improves performance compared with a set of suitable baselines. Finally, applying our personalization strategy improves individual-level fairness.

A Meta-analysis of the Relations Between Socioeconomic Status and Parenting Practices

The question of why parents parent the way they do is central in parenting studies. Research about the predictors of parenting has been guided by Belsky's classical model of parenting determinants. In this model, socioeconomic status was not explicitly considered as a determinant of parenting. However, there is ample research that came later that found relations between socioeconomic status and parenting. The aim of this study was to find an aggregate estimate of the relations between socioeconomic status and parenting practices using meta-analytic methods. We found that socioeconomic status was positively linked to positive parenting, and negatively linked to negative parenting. In particular, socioeconomic status was positively linked to parental warmth and parental behavioral control, but negatively linked to parental psychological control. The relations between socioeconomic status and positive or negative parenting were not moderated by child's age or sex and did not differ based on the type of socioeconomic status indicator. Moreover, all the correlations were small in magnitude, and were comparable to other predictors of parenting such as parent's depression, parent's personality traits, and child's temperament. Our results suggest that parent's overall socioeconomic status, or its different constituents, supplement Belsky's model of parenting determinants.

Effects of a Self-Guided Transdiagnostic Smartphone App on Patient Empowerment and Mental Health: Randomized Controlled Trial

BACKGROUND

Mental disorders impact both individuals and health systems. Symptoms and syndromes often remain undetected and untreated, resulting in chronification. Besides limited health care resources, within-person barriers such as the lack of trust in professionals, the fear of stigmatization, or the desire to cope with problems without professional help contribute to the treatment gap. Self-guided mental health apps may support treatment seeking by reducing within-person barriers and facilitating mental health literacy. Digital mental health interventions may also improve mental health related self-management skills and contribute to symptom reduction and the improvement of quality of life.

OBJECTIVE

This study aims to investigate the effects of a self-guided transdiagnostic app for mental health on help seeking, reduced stigma, mental health literacy, self-management skills, mental health symptoms, and quality of life using a randomized controlled design.

METHODS

Overall, 1045 participants (recruited via open, blinded, and web-based recruitment) with mild to moderate depression or anxiety-, sleep-, eating-, or somatization-related psychopathology were randomized to receive either access to a self-guided transdiagnostic mental health app (MindDoc) in addition to care as usual or care as usual only. The core features of the app were regular self-monitoring, automated feedback, and psychological courses and exercises. The coprimary outcomes were mental health literacy, mental health-related patient empowerment and self-management skills (MHPSS), attitudes toward help seeking, and actual mental health service use. The secondary outcomes were psychopathological symptom burden and quality of life. Data were collected at baseline and 8 weeks and 6 months after randomization. Treatment effects were investigated using analyses of covariance, including baseline variables as predictors and applying multiple imputation.

RESULTS

We found small but robust between-group effects for MHPSS (Cohen d=0.29), symptoms burden (Cohen d=0.28), and quality of life (Cohen d=0.19) 8 weeks after randomization. The effects on MHPSS were maintained at follow-up. Follow-up assessments also showed robust effects on mental health literacy and preliminary evidence for the improvement of help seeking. Predictors of attrition were lower age and higher personality dysfunction. Among the non-attritors, predictors for deterioration were less outpatient treatment and higher initial symptom severity.

CONCLUSIONS

A self-guided transdiagnostic mental health app can contribute to lasting improvements in patient empowerment. Symptoms of common mental disorders and quality of life improved faster in the intervention group than in the control group. Therefore, such interventions may support individuals with symptoms of 1 or more internalizing disorders, develop health-centered coping skills, prevent chronification, and accelerate symptom improvement. Although the effects for individual users are small and predictors of attrition and deterioration need to be investigated further, the potential public health impact of a self-guided intervention can be large, given its high scalability.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00022531; https://drks.de/search/de/trial/DRKS00022531.

Associations of allergy-related outcomes with depression in the US adults

Evidences showed the link between allergy and depression, while the relationships of depression with allergy-related outcomes is insufficient. The objective of this study is to evaluate and compare the relationship of depression with allergy-related outcomes assessed using two different outcome indicators, in a population-based study. A cross-sectional study was performed of 1094 participants in the 2005-2006 National Health and Nutrition Examination Survey (NHANES). The self-reported allergic symptoms of allergic rhinitis (AR) status and immunoglobulin E (IgE) were used to evaluate the allergy-related outcomes. The depression disorder was defined as the ≥ 10 points on the Patient Health Questionnaire-9. Logistic and linear regression models were performed to illustrate the associations of depression and allergy-related outcomes. The prevalence of AR and depression was 34.2% and 6.8%, respectively. The odds of depression were 8.6% higher in participants with AR patients compared those without AR [odds ratio (OR) = 1.739, 95% confidence interval (CI): (1.034, 2.933)], while the odds of depression in participants with allergic sensitization and without allergic sensitization were not found significant difference. Allergy is positively associated with depression disorder, and patients with allergy-related outcomes, such as AR, may be at higher risk of depression, while the IgE level was not founded to be related with depression. In the treatment of AR patients with depression symptoms, early detection and management of mental problems are of importance.

Urbanicity and depression: A global meta-analysis

BACKGROUND

Previous meta-analyses have revealed that in adult and older adult populations of developed countries, depression is more prevalent in urban than rural areas. No meta-analyses have identified the effects of urbanicity on the general age demographic for developing countries. We conducted a meta-analysis of urban-rural differences in depression across all age demographics for developed and developing countries.

METHODS

PubMed and PsycINFO databases were searched for studies published between 1980 and 2020. Studies were included if they reported prevalences of urban and rural depression, or odds ratios comparing urban-rural depression prevalence. Studies were excluded for: nonrepresentative samples, non-standard measures of depression, and reporting continuous outcomes only. Meta-analytic models of urban-rural differences in the odds of depression were conducted across country development levels and age demographics.

RESULTS

From 1597 records screened and 302 full texts assessed for eligibility, 80 studies (N = 539,557) were included for meta-analysis. Urban residence was significantly associated with a higher prevalence of depression in developed countries (OR = 1.30, 95 % CI [1.17, 1.46], z = 4.75, p < .001), which was primarily driven by urban-rural differences in the general population age demographic (OR = 1.37, 95 % CI [1.22, 1.54], z = 5.38, p < .001).

LIMITATIONS

Studies reporting urban-rural differences in depression in terms of continuous symptom severity scores were not included.

CONCLUSIONS

Urbanicity appears to uniquely be associated with a higher prevalence of depression in developed countries, but not in developing countries.

Prevalence of depression symptoms among female adolescents in Saudi Arabia

OBJECTIVE

Epidemiological studies on the prevalence of elevated depression symptoms among female adolescents in Saudi Arabia report a wide variation, ranging from 13.9% to 80.2%. However, different methods of assessment and sampling have been used. The aim of the current study is to estimate the prevalence of elevated depression symptoms amongst female adolescents in Saudi Arabia using a gold-standard self-report measure, the Mood and Feelings Questionnaire (MFQ).

DESIGN AND MEASURES

A cross-sectional study was conducted with 515 female students aged 13-18 years, recruited from public schools. Participants completed the Arabic versions of the MFQ, Rosenberg Self-Esteem Scale and Multidimensional Scale of Perceived Social Support.

RESULTS

Mean MFQ score for this sample was 26.35 and almost half of participants (48.2%) had scores above the cut-off. Severity of depression varied with age, with those aged 13 showing reduced symptoms, and was negatively correlated with self-esteem and perceived social support. There were no associations with other demographic factors.

CONCLUSION

Elevated levels of depression symptoms were common in this sample. This highlights the need to improve public mental health in this community and to improve methods of identifying and treating depression in female adolescents.

Research progress of plant-derived natural alkaloids in central nervous system diseases

Central nervous system (CNS) disease is one of the most important causes of human death. Because of their complex pathogenesis, more and more attention has been paid to them. At present, drug treatment of the CNS is the main means; however, most drugs only relieve symptoms, and some have certain toxicity and side effects. Natural compounds derived from plants can provide safer and more effective alternatives. Alkaloids are common nitrogenous basic organic compounds found in nature, which exist widely in many kinds of plants and have unique application value in modern medicine. For example, Galantamine and Huperzine A from medicinal plants are widely used drugs on the market to treat Alzheimer's disease. Therefore, the main purpose of this review is to provide the available information on natural alkaloids with the activity of treating central nervous system diseases in order to explore the trends and perspectives for the further study of central nervous system drugs. In this paper, 120 alkaloids with the potential effect of treating central nervous system diseases are summarized from the aspects of sources, structure types, mechanism of action and structure-activity relationship.

Mental health disorders and pain modulation in orthopedic shoulder patients

Background

Various studies have examined the relationship between preoperative mental health diagnoses (MHDs) and postoperative outcomes in orthopedic shoulder patients. However, few investigations delve into the relationship between a preoperative MHD and postoperative opioid pain control regimens in patients who have undergone rotator cuff repair (RCR), total shoulder arthroplasty (TSA), and reverse TSA (rTSA). We hypothesize that orthopedic shoulder patients with a preoperative MHD will be prescribed more opioids (ie, request more refills) postoperatively than those without a MHD.

Methods

An institutional review board-approved retrospective chart review was performed on 438 patients, 18 years or older, who underwent RCR, TSA, or rTSA. Patients were divided into two groups: those diagnosed with depression, anxiety, bipolar disorder, and/or schizophrenia (n = 193), and those with no previous MHD (n = 245). Statistical outcomes were analyzed with the independent t-test, Mann-Whitney U test, one-way Analysis of Variance, and Kruskal-Wallis test.

Results

Univariate analysis demonstrated significant differences between the MHD group and non-MHD group in average 90-day postoperative opioid scripts (2.10 vs. 1.55, respectively, P < .001) and median 90-day postoperative morphine milligram equivalents (MMEs) prescribed (225 MME vs. 185.25 MME, respectively, P < .001). Among patients who were opioid naive 90 days preoperatively, significant differences were found in MMEs prescribed between the MHD and non-MHD group (225 MME vs. 150 MME, respectively, P < .001). Further analysis of opioid naive patients with specifically depression compared to patients with an alternate or no MHD diagnosis yielded significant differences in scripts (1.78 vs. 1.33, respectively, P = .031) and MMEs prescribed (225 MME vs. 150 MME, respectively, P < .001).

Conclusion

This study found that RCR, TSA, or rTSA patients with a preoperative MHD were prescribed significantly more postoperative MMEs and more opioid scripts (ie, requested more refills) than those without MHD. This is despite preoperative education on postoperative pain expectations and limiting opioid use. Our findings support our hypothesis and emphasize the clinical importance of recognizing mental health disease while navigating postoperative pain control expectations. Given the rising prevalence of mental health disorders nationwide, considering the effect of these comorbidities on postoperative pain in RCR, TSA, and rTSA patients will be essential to enhance preoperative and postoperative counseling and management by orthopedic surgeons. We further recommend a multidisciplinary approach to help manage pain in these patients.

The prevalence of depression, anxiety, and sleep disturbances in patients with neuromyelitis optica spectrum disorders (NMOSD): A systematic review and meta-analysis

OBJECTIVE

To estimate pooled prevalence of depression, anxiety, and sleep disturbances in neuromyelitis optica spectrum disorders (NMOSD) cases.

METHODS

Electronic database of PubMed (MEDLINE), the Cochrane Central Register of Controlled Trials (CENTRAL), Embase and Web of Science ware systematically searched to identify relevant studies published not later than June 10, 2022. Specifically, original articles that reported the prevalence of depression, anxiety and sleep disturbances were selected. All pooled prevalence and 95 % confidence intervals (CIs) were calculated using a random-effects model. Publication bias was examined using funnel plots, and sensitivity analysis was used to explore the stability of the pooled results.

RESULTS

A total of 31 studies involving 4213 participants were included in this review. The pooled prevalence of depression was 40 % (95 % CI: 32-49 %), the pooled prevalence of anxiety was 45 % (95 % CI: 24-66 %), and the pooled prevalence of sleeping disturbances was 55 % (95 % CI: 46-64 %). The depression and anxiety prevalence estimates varied based on different screening tools.

CONCLUSIONS

There is a high prevalence of depression, anxiety, and sleep disturbances among NMOSD. These findings underscore the importance of regular monitoring of psychological status in NMOSD as well as the need for preventive approaches, early diagnosis, and intervention to improve medical and psychosocial outcomes.

Increased cardiovascular events in young patients with mental disorders: a nationwide cohort study

AIMS

It remains unclear whether young patients with mental disorders have a higher risk of cardiovascular diseases than does the general population. Using a nationwide database, we investigated the prognostic association between the risks of myocardial infarction (MI), ischaemic stroke (IS), and mental disorders in young patients.

METHODS AND RESULTS

Young patients aged between 20 and 39 years old who underwent nationwide health examinations between 2009 and 2012 were screened. A total of 6 557 727 individuals were identified and subsequently classified according to mental disorders including depressive disorder, bipolar disorder, schizophrenia, insomnia, anxiety disorder, post-traumatic stress disorder, personality disorder, somatoform disorder, eating disorder, and substance use disorder. Patients were then followed up for MI and IS until December 2018. Patients with mental disorders did not show unfavourable lifestyle behaviours or worse metabolic profiles than their counterparts. During the follow-up period (median, 7.6 years; interquartile range, 6.5-8.3), 16 133 cases of MI and 10 509 cases of IS occurred. Patients with mental disorders had higher risks of MI (log-rank P = 0.033 in eating disorder and log-rank P < 0.001 in all other mental disorders). Patients with mental disorders had higher risks of IS except post-traumatic stress disorder (log-rank P = 0.119) and eating disorder (log-rank P = 0.828). After adjusting for covariates, the overall diagnosis and each mental disorder were independently associated with increased cardiovascular endpoints.

CONCLUSION

Mental disorders in young patients may have deleterious effects which increase the incidence of MI and IS. Prevention efforts are needed to prevent MI and IS in young patients with mental disorders.

Transcriptional Regulation of the Human 5-HT1A Receptor Gene by Lithium: Role of Deaf1 and GSK3β

Serotonin 1A (5-HT1A) autoreceptors located on serotonin neurons inhibit their activity, and their upregulation has been implicated in depression, suicide and resistance to antidepressant treatment. Conversely, post-synaptic 5-HT1A heteroreceptors are important for antidepressant response. The transcription factor deformed epidermal autoregulatory factor 1 (Deaf1) acts as a presynaptic repressor and postsynaptic enhancer of 5-HT1A transcription, but the mechanism is unclear. Because Deaf1 interacts with and is phosphorylated by glycogen synthase kinase 3β (GSK3β)-a constitutively active protein kinase that is inhibited by the mood stabilizer lithium at therapeutic concentrations-we investigated the role of GSK3β in Deaf1 regulation of human 5-HT1A transcription. In 5-HT1A promoter-reporter assays, human HEK293 kidney and 5-HT1A-expressing SKN-SH neuroblastoma cells, transfection of Deaf1 reduced 5-HT1A promoter activity by ~45%. To identify potential GSK3β site(s) on Deaf1, point mutations of known and predicted phosphorylation sites on Deaf1 were tested. Deaf1 repressor function was not affected by any of the mutants tested except the Y300F mutant, which augmented Deaf1 repression. Both lithium and the selective GSK3 inhibitors CHIR-99021 and AR-014418 attenuated and reversed Deaf1 repression compared to vector. This inhibition was at concentrations that maximally inhibit GSK3β activity as detected by the GSK3β-sensitive TCF/LEF reporter construct. Our results support the hypothesis that GSK3β regulates the activity of Deaf1 to repress 5-HT1A transcription and provide a potential mechanism for actions of GSK3 inhibitors on behavior.

Association between body mass index and suicide attempts in Chinese patients of a hospital in Shanxi district with first-episode drug-naïve major depressive disorder

OBJECTIVE

In patients with major depressive disorder (MDD), the relationship between body mass index (BMI) and risk of suicide attempts (SA) remains unclear, and findings are controversial. The aim of this study was to investigate the relationship between BMI and SA in a Chinese population with first-episode drug-naïve (FEDN) MDD.

METHODS

A total of 1718 patients with FEDN MDD were enrolled in this cross-sectional study. Their socio-demographic characteristics as well as anthropometric data were collected. The 17-item Hamilton Rating Scale (HAMD-17) and Hamilton Anxiety Scale (HAMA) were used to assess the severity of depression and anxiety symptoms in all participants. Thyroid hormones, lipid profile, and fasting blood glucose (FBG) were measured. A history of suicide attempts was verified based on medical records and interviews with patients and their family members. Multiple logistic regression analysis was used to estimate the association between BMI and the risk of SA. Threshold effects were examined by a two-piecewise logistic regression model.

RESULTS

Multiple logistic regression analysis showed that BMI was independently and negatively correlated with SA (OR = 0.91, 95%CI: 0.85 to 0.98, P = 0.01) in patients with FEDN MDD after adjusting for covariates. Smoothing plots also revealed a non-linear (L-shaped) relationship between BMI and SA, and a two-piecewise logistic regression model was used to calculate the inflection point of BMI as 22.1 kg/m2. On the left of the inflection point, a negative association between BMI and SA was detected (OR = 0.54, 95%CI: 0.42 to 0.70, P < 0.001), while no significant association was observed on the right side of the inflection point (OR = 1.01, 95%CI: 0.93 to 1.10, P = 0.75).

CONCLUSIONS

Our results suggest that lower BMI is associated with a higher risk of recent SA in Chinese patients with FEDN MDD, especially in those with BMI below 22.1 kg/m2.

Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)

PURPOSE

Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured internet-based cognitive-behaviour therapy (ICBT). The overarching purpose of MULTI-PSYCH is to improve risk stratification, outcome prediction and secondary preventive interventions. MULTI-PSYCH is a precision medicine initiative that combines clinical, genetic and nationwide register data.

PARTICIPANTS

MULTI-PSYCH includes 2668 clinically well-characterised adults with major depressive disorder (MDD) (n=1300), social anxiety disorder (n=640) or panic disorder (n=728) assessed before, during and after 12 weeks of ICBT at the internet psychiatry clinic in Stockholm, Sweden. All patients have been blood sampled and genotyped. Clinical and genetic data have been linked to several Swedish registers containing a wide range of variables from patient birth up to 10 years after the end of ICBT. These variable types include perinatal complications, school grades, psychiatric and somatic comorbidity, dispensed medications, medical interventions and diagnoses, healthcare and social benefits, demographics, income and more. Long-term follow-up data will be collected through 2029.

FINDINGS TO DATE

Initial uses of MULTI-PSYCH include the discovery of an association between PRS for autism spectrum disorder and response to ICBT, the development of a machine learning model for baseline prediction of remission status after ICBT in MDD and data contributions to genome wide association studies for ICBT outcome. Other projects have been launched or are in the planning phase.

FUTURE PLANS

The MULTI-PSYCH cohort provides a unique infrastructure to study not only predictors or short-term treatment outcomes, but also longer term medical and socioeconomic outcomes in patients treated with ICBT for depression or anxiety. MULTI-PSYCH is well positioned for research collaboration.

Functional dysconnectivity in youth depression: Systematic review, meta-analysis, and network-based integration

Youth depression has been associated with heterogenous patterns of aberrant brain connectivity. To make sense of these divergent findings, we conducted a systematic review encompassing 19 resting-state fMRI seed-to-whole-brain studies (1400 participants, comprising 795 youths with major depression and 605 matched healthy controls). We incorporated separate meta-analyses of connectivity abnormalities across the levels of the most commonly seeded brain networks (default-mode and limbic networks) and, based on recent additions to the literature, an updated meta-analysis of amygdala dysconnectivity in youth depression. Our findings indicated broad and distributed findings at an anatomical level, which could not be captured by conventional meta-analyses in terms of spatial convergence. However, we were able to parse the complexity of region-to-region dysconnectivity by considering constituent regions as components of distributed canonical brain networks. This integration revealed dysconnectivity centred on central executive, default mode, salience, and limbic networks, converging with findings from the adult depression literature and suggesting similar neurobiological underpinnings of youth and adult depression.

Sociodemographic predictors of depression and anxiety symptomatology among parents in rural Côte d'Ivoire

BACKGROUND

In Côte d'Ivoire, cocoa farming is a widespread practice in rural households, an occupation with increased risks of depression and anxiety exacerbated by economic instability. We used the Goldberg-18 Depression and Anxiety diagnostic tool to identify predictors of depressive and anxiety symptomatology among a sample of parents in rural cocoa farming communities.

METHODS

In a cross-sectional survey, the Goldberg-18 was administered to Ivorian parents (N = 2471). Confirmatory factor analysis (CFA) was conducted to confirm the factor structure of the assessment tool, and Ordinary Least Squares (OLS) regression with clustered standard errors was used to identify sociodemographic predictors of symptomatology.

RESULTS

CFA showed adequate fit statistics for a two-factor model measuring depressive and anxiety symptoms. Among respondents, 87 % screened positive for requiring further referral for clinical diagnosis. Sociodemographic predictors of depressive and anxiety symptoms were similar for males and females. For the total sample, higher monthly income, more years of education, and belonging to the Mandinka ethnic group predicted fewer depressive and anxiety symptoms. In contrast, higher depressive and anxiety symptomatology were associated with age. Single marital status predicted increased anxiety but not depressive symptoms for the full sample model and the female only sample, but not the male sample.

LIMITATIONS

This is a cross-sectional study.

CONCLUSIONS

The Goldberg-18 measures distinct domains of depressive and anxiety symptoms in a rural Ivorian sample. Age and single marital status are predictors of increased symptoms. Higher monthly income, higher education, and certain ethnic affiliations are protective factors.

Electroacupuncture alleviates depression-like behaviours via a neural mechanism involving activation of Nucleus Accumbens Shell

OBJECTIVES

This study investigated the effects of electroacupuncture (EA) on the depression-like behaviours in a mouse model of chronic restraint stress (CRS) and explored the underlying neural mechanisms.

METHODS

Depression-like behaviours including sucrose preference test (SPT), open field test (OFT) and tail suspension test (TST) were carried out to evaluate the effects of CRS and EA treatment. Using immunohistochemistry to measure the expression of c-Fos. The Nucleus Accumbens Shell (NAc Shell) in C57BL/6J mice were activated or inhibited using Chemogenetics.

RESULTS

All the CRS stimulated groups showed lower sucrose preference in the SPT and decreased centre times in the OFT, and increased immobility time in the TST when compared to the normal control. Interestingly, EA at LR3 or HT7 exerted anti-depressant effects, and LR3 EA exhibited a more significant restoration than HT7. Furthermore, EA at LR3 increased expression of c-Fos in the NAc Shell. Chemogenetic inhibition of NAc Shell blocked the effects of EA, whereas enhancement of NAc Shell activity profoundly reversed depressive phenotypes.

CONCLUSIONS

LR3 EA was effective in alleviating the depressive-like behaviours, and this therapeutic effect was associated with the activation of NAc Shell. Collectively, these findings revealed that EA may represent a promising therapeutic strategy for depression.

Change in mental health during the COVID-19 pandemic: a longitudinal study of residents of Indian metropolitan cities

BACKGROUND

Initial studies have reported an increase in the incidence of mental health problems during the early months of COVID-19. Longitudinal studies of changes in mental health undertaken in Low and Middle Income countries during the pandemic remains an under-researched area.

AIMS

The current study examines changes in mental health among adult residents of metropolitan cities of India, a middle-income country reporting the second-highest COVID cases and third-highest fatalities, during the pandemic.

METHOD

Data was collected, based on a telephonic survey using the internationally accepted abridged Depression Anxiety Stress schedule (DASS-21), in August and September 2020 and July-August 2021. The sample size is 994. The data was analysed using an ordered logit model.

RESULTS

At the onset of the pandemic, high levels of anxiety, stress and depression prevailed; their levels reduced after one year. Respondents who have experienced a decline in economic fortunes, have family members with pre-existing co-morbidity or had COVID in the family are significantly less likely to report improvement in mental health; less-educated respondents are also vulnerable.

CONCLUSIONS

Specific sub-groups, identified as at risk, need monitoring and continued provisioning of tailor-made mental health services addressing their specific needs. Relief measures targeting economically affected households are also required.

Associations between depression and cancer risk among patients with diabetes mellitus: A population-based cohort study

BACKGROUND

The co-occurrence of depression and diabetes mellitus has been linked to an increased risk of developing cancer. This study aimed to investigate whether depression further amplifies the risk of cancer among individuals with diabetes.

METHODS

This population-based matched cohort study utilized Taiwan's National Health Insurance claims database. A total of 85,489 newly diagnosed diabetic patients with depressive disorders were selected, along with 427,445 comparison subjects. The matching process involved age, sex, and the calendar year of diabetes onset. The average follow-up duration for the two cohorts was 6.4 and 6.5 years, respectively. The primary outcome of interest was the occurrence of overall cancer or cancer at specific anatomical sites.

RESULTS

The adjusted hazard ratios for overall cancer incidence were 1.08 (95% CI, 1.05-1.11). For site-specific cancers, depression exhibited significant associations with oropharyngeal, esophageal, liver, gynecological, prostate, kidney, and hematologic malignancies among patients with diabetes. Notably, a severity-response relationship was observed, indicating that patients with recurrent episodes of major depressive disorders exhibited a higher incidence of cancer compared to those diagnosed with dysthymia or depressive disorder not otherwise specified. Furthermore, the strength of the association between depression and cancer risk was more pronounced among younger patients with diabetes as opposed to older adults. However, no significant relationship was observed between adherence to antidepressant treatment and cancer risk.

CONCLUSIONS

The findings of this study indicate a significant association between depression and an elevated risk of cancer among individuals diagnosed with diabetes. Future investigations should replicate our findings, explore the effects of pharmacological and non-pharmacological treatments on cancer risk, and identify the underlying mechanisms.

Thyroid dysfunction in children and adolescents affected by undernourished and overnourished eating disorders

Eating disorders (ED) are one of the most prevalent chronic disorders in adolescents and young adults, with a significantly increasing prevalence in younger children, particularly in girls. Even if obesity in essence is not framed as an eating disorder and has always been considered a separate pathology, ED and obesity could be considered part of a continuum. It has become evident that one condition can lead to another, such as binge eating disorder (BED) and bulimia nervosa, and that they share the same repercussions in terms of psychosocial, metabolic, and nutritional health. This narrative review aims to investigate the hypothalamic-pituitary-thyroid axis in undernourished and overnourished patients with ED, including obesity, in order to highlight the relationship between weight control and thyroid function and its effects and to consider therapeutic and preventive strategies in children and adolescents. Literature data report that thyroid alterations occur in patients with ED, both underweight and overweight, and represent a continuum of changes depending on the severity and time course of the disease involving the endocrine system. Considering the relevant role thyroid hormones (TH) play not only in energy expenditure (EE) but also in metabolic control and cardiovascular risks related to dysmetabolism and mood regulation, continuous monitoring of thyroid homeostasis in patients with ED is mandatory to prevent severe complications and to start early treatment when necessary.

Comparative efficacy and safety of 4 atypical antipsychotics augmentation treatment for major depressive disorder in adults: A systematic review and network meta-analysis

BACKGROUND

Atypical antipsychotic (AAP) augmentation is an alternative strategy for patients with major depressive disorder (MDD) who had an inadequate response to antidepressant therapy (ADT). We aimed to compare and rank the efficacy and safety of 4 AAPs in the adjuvant treatment of MDD.

METHODS

We searched randomized controlled trials (RCTs) published and unpublished from the date of databases and clinical trial websites inception to April 30, 2023. The evidence risk of bias (RoB) and certainty are assessed using the Cochrane bias risk tool and grading of recommendations assessment, development, and evaluation (GRADE) framework, respectively. Using network meta-analysis, we estimated summary risk ratios (RRs) or standardized mean difference (SMD) based on the random effects model.

RESULTS

56 eligible studies comprising 11448 participants were included. In terms of primary efficacy outcome, compared with placebo (PBO), all AAPs had significant efficacy (SMD = -0.40; 95% CI, -0.68 to -0.12 for quetiapine (QTP); -0.35, -0.59 to -0.11 for olanzapine (OLA); -0.28, -0.47 to -0.09 for aripiprazole (ARI) and -0.25, -0.42 to -0.07 for brexpiprazole (BRE), respectively). In terms of acceptability, no significant difference was found, either agents versus agents or agents versus PBO. In terms of tolerability, compared with the PBO, QTP (RR = 0.24; 95% CI,0.11-0.53), OLA (0.30,0.10-0.55), ARI (0.39,0.22-0.69), and BRE (0.37,0.18-0.75) were significantly less well tolerated. 8 (14.2%) of 56 trials were assessed as low RoB, 38 (67.9%) trials had moderate RoB, and 10 (17.9%) had high RoB; By the GRADE, the certainty of most evidence was low or very low.

CONCLUSION

Adjuvant AAPs had significant efficacy compared with PBO, but treatment decisions must be made to balance the risks and benefits.

Unraveling the Potential of Isorhamnetin as an Adjuvant in Depression Treatment with Escitalopram

Oxidative stress and inflammation are implicated in depression. While selective serotonin reuptake inhibitors (SSRIs) like escitalopram are commonly prescribed as first-line treatments, their inconsistent efficacy and delayed onset of action necessitates the exploration of adjunctive therapies. Isorhamnetin, a flavonol, has shown antioxidant and anti-inflammatory properties that makes exploring its antidepressant effect attractive. This study aims to investigate the adjuvant potential of isorhamnetin in combination with escitalopram to enhance its antidepressant efficacy in a lipopolysaccharide (LPS)-induced depression model using Swiss albino mice. Behavioral paradigms, such as the forced swim test and open field test, were employed to assess depressive symptoms, locomotion, and sedation. Additionally, enzyme-linked immunosorbent assays were utilized to measure Nrf2, BDNF, HO-1, NO, and IL-6 levels in the prefrontal cortex and hippocampus. The results demonstrate that isorhamnetin significantly improves the antidepressant response of escitalopram, as evidenced by reduced floating time in the forced swim test. Moreover, isorhamnetin enhanced antidepressant effects of escitalopram and effectively restored depleted levels of Nrf2, BDNF, and HO-1 in the cortex caused by LPS-induced depression. Isorhamnetin shows promise in enhancing the efficacy of conventional antidepressant therapy through antioxidant and anti-inflammatory effects.

Prevalence and factors associated with metabolic syndrome in first hospitalization for major depression disorder patients

Major depressive disorder (MDD) is a common and socially burdensome psychiatric disorder with a causal and complex relationship with metabolic syndrome (MetS), which is often co-morbid. However, the prevalence and risk factors for MetS in patients with MDD are inconclusive. The purpose of this study is to investigate the prevalence and factors influencing MetS in first hospitalization MDD patients. A total of 981 MDD patients were included. Sociodemographic and general clinical data were collected from the patients, while metabolism-related parameters were also measured, and psychological symptoms were assessed. Our study found that the prevalence of MetS in the study population was 9.68%. MDD patients with MetS had higher levels of metabolism-related parameters and more severe psychological symptoms. We identified risk factors for MetS and its severity separately: age of onset of MDD, more severe depressive symptoms, and higher thyroid stimulating hormone (TSH) levels were risk factors for the development of MetS, whereas higher TSH levels were risk factors for the severity of MetS. Our results suggest that MetS is not highly prevalent in MDD patients, but certain risk factors may increase its likelihood and severity, and that these findings could be beneficial for clinical intervention and care of MetS.

Prevalence of early and late onset of chronic diseases and multimorbidity and its association with physical, mental and functional health among older Indian adults

BACKGROUND

Identifying people with early and late onset of chronic conditions might help target the subpopulations that are more vulnerable to negative mental, physical and functional health outcomes. The current study aimed to examine the association of early and late onset of chronic single and multiple morbidities with self-perceived physical and mental health, functional limitations and physical inactivity among older Indian adults.

METHODS

Cross-sectional study was conducted using data from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017-2018). The total sample size for the present study was 31,386 older adults age 60 years or older. Multivariable binary logistic regression analysis was used to establish the association between the outcomes (poor perceived physical/mental health, functional difficulty and physical inactivity) and explanatory variables (early [ = < 50 years of age] and late [> 50 years]) onset of chronic illnesses such as hypertension, diabetes, heart attack, heart disease, stroke, cancer, lung disease, arthritis, osteoporosis and psychiatric disease).

RESULTS

Overall, 24.21% of the sample population had poor self-perceived physical health, whereas 8.67% of participants had poor self-perceived mental health. The prevalence of difficulty in ADL, difficulty in IADL, and physical inactivity was 23.77%, 48.36%, and 68.9%, respectively. Odds of poor perceived mental health were higher for the respondents with early as well as late onset of hypertension, stroke, and arthritis; while individuals with late onset of diabetes, and heart disease had higher odds of poor perceived mental health than those without chronic disease. Individuals with early onset of single morbidity were more likely to report ADL difficulty (adjusted odds ratio [AOR]: 1.33, confidence interval [CI]: 1.06-1.67); while those with late onset of single (AOR: 1.34, CI: 1.17-1.53) and multimorbidity (AOR: 1.91, CI: 1.63-2.24) were more likely to report ADL difficulty compared with individuals without morbidity. Individuals with early as well as late-onset of multimorbidity had more than two times higher odds of reporting poor physical health, poor mental health and IADL difficulty compared with individuals without chronic disease.

CONCLUSIONS

The present study revealed that early and/or late onset of chronic single and/or multiple morbidities significantly predicted poor self-perceived physical and mental health, functional limitations and physical inactivity among older Indian adults. The findings further suggest that late onset of chronic diseases such as cancer and stroke and multi-morbidity had stronger associations with physical inactivity that may help identify high risk groups for screening and support.

The Association of HHV-6 and the TNF-α (-308G/A) Promotor with Major Depressive Disorder Patients and Healthy Controls in Thailand

Major depressive disorder (MDD) is a silent global health problem that can lead to suicide. MDD development is suggested to result from numerous risk factors, including genetic factors. A precise tool for MDD diagnosis is currently not available. Recently, inflammatory processes have been identified as being strongly involved in MDD development and the reactivation of human herpesvirus type 6 (HHV-6), upregulating cytokines such as TNF-α, which are associated with MDD. Therefore, this study aimed to determine the association of HHV-6 with genetic factors, especially TNF-α mutation, in MDD patients and their relatives compared to healthy controls. The Patient Health Questionnaire (PHQ-9) was used to evaluate MDD status, and 471 oral buccal samples were investigated for HHV-6 infection and viral copy number by qPCR. TNF-α (-308G/A) gene mutation and the cytokines TNF-α, IL-6, and IL-10 were analyzed by high-resolution melting (HRM) analysis and enzyme-linked immunosorbent assay (ELISA). Whole-exome sequencing of buccal samples was performed to analyze for genetic factors. The results showed significantly higher HHV-6 positivities and viral loads in MDD patients (15/59 (25.67%) and 14,473 ± 16,948 copies/µL DNA) and their relatives (blood relatives 17/36 (47.22%) and 8146 ± 5656 copies/µL DNA); non-blood relatives 7/16 (43.75%) and 20,721 ± 12,458 copies/µL DNA) compared to the healthy population (51/360 (14.17%) and 6303 ± 5791 copies/µL DNA). The TNF-α (-308G/A) mutation showed no significant difference. Surprisingly, 12/26 (46.15%) participants with the TNF-α (-308G/A) mutation showed HHV-6 positivities at higher rates than those with wild-type TNF-α (-308G) (70/267 (26.22%)). HHV-6-positive participants with TNF-α (-308G/A) showed higher levels of TNF-α, IL-6, and IL-10 than those of negative control. Exome analysis revealed that common mutations in immune genes were associated with depression. Therefore, this study unveiled the novel association of inflammatory gene TNF-α (-308G/A) mutations with HHV-6 reactivation, which could represent a combined risk factor for MDD. This result could induce further research on MDD development and clinical applications.

Effect of acceptance and commitment therapy for depressive disorders: a meta-analysis

OBJECTIVE

To systematically evaluate the effect of Acceptance and Commitment Therapy (ACT) on depressive disorders.

METHODS

The electronic databases of Web of Science Core Collection, Pubmed, EMBASE, Cochrane Library, PsycInfo, CNKI, Wanfang and Weipu were used to select relevant publications. Screening, data extraction, and quality assessment were undertaken following PRISMA guidelines for preferred reporting of systematic reviews and meta-analysis. RevMan5.4 was used for meta-analysis.

RESULTS

11 studies with a total of 962 patients were included. Random-effects model analysis showed that ACT could effectively reduce the level of depressive symptoms in patients with depressive disorders (SMD = - 1.05, 95% CI: - 1.43-- 0.66, P < 0.00001), improve psychological flexibility (MD = 4.84, 95% CI: 2.70-6.97, P < 0.00001), and have good maintenance effect (SMD = - 0.70, 95% CI: - 1.15-- 0.25, P = 0.002). All differences were statistically significant.

CONCLUSIONS

ACT not only improves depressive symptoms and psychological flexibility, but also has a good maintenance effect, and it is particularly effective in Chinese patients. Large randomized controlled trials are needed to validate the findings from this meta-analysis.

Examining the Relationships between the Incidence of Infectious Diseases and Mood Disorders: An Analysis of Data from the Global Burden of Disease Studies, 1990-2019

Mood disorders are among the commonest mental disorders worldwide. Epidemiological and clinical evidence suggests that there are close links between infectious diseases and mood disorders, but the strength and direction of these association remain largely unknown. Theoretical models have attempted to explain this link based on evolutionary or immune-related factors, but these have not been empirically verified. The current study examined cross-sectional and longitudinal associations between the incidence of infectious diseases and mood disorders, while correcting for climate and economic factors, based on data from the Global Burden of Disease Studies, 1990-2019. It was found that major depressive disorder was positively associated with lower respiratory infections, while bipolar disorder was positively associated with upper respiratory infections and negatively associated with enteric and tropical infections, both cross-sectionally and over a period of 30 years. These results suggest that a complex, bidirectional relationship exists between these disorders. This relationship may be mediated through the immune system as well as through the gut-brain and lung-brain axes. Understanding the mechanisms that link these groups of disorders could lead to advances in the prevention and treatment of both.

Copy Number Variations in Neuropsychiatric Disorders

Neuropsychiatric disorders are complex conditions that represent a significant global health burden with complex and multifactorial etiologies. Technological advances in recent years have improved our understanding of the genetic architecture of the major neuropsychiatric disorders and the genetic loci involved. Previous studies mainly investigated genome-wide significant SNPs to elucidate the cross-disorder and disorder-specific genetic basis of neuropsychiatric disorders. Although copy number variations represent a major source of genetic variations, they are known risk factors in developing a variety of human disorders, including certain neuropsychiatric diseases. In this review, we demonstrate the current understanding of CNVs contributing to liability for schizophrenia, bipolar disorder, and major depressive disorder.

Association between number of remaining teeth and incident depression in a rural Chilean cohort

OBJECTIVES

Previous studies have established an association between tooth loss and depression. However, longitudinal evidence is scarce and needs to be verified in other populations. The aim of this study was to examine the longitudinal association between the number of remaining teeth and incident depression at 2- and 4-years follow-up in individuals enrolled in the Maule cohort (MAUCO) in Chile.

METHODS

This prospective study used the information of individuals, aged 38 to 74 years, excluding those with depression at baseline. The number of remaining teeth at baseline was determined in four groups: "20 or more teeth", "10 to 19 teeth", "1 to 9 teeth" and "no natural teeth". Depression was measured through the PHQ-9. Logistic regression was performed to calculate the odds ratios (OR) for incidence depression at both periods of follow-ups, adjusting for age, sex, educational attainment, diabetes mellitus II, and stressful events at follow-up. Also, we performed adjusted multinomial logistic models to analysis the association between the number of remaining teeth and depression severity.

RESULTS

In total individuals (n = 3335 at follow 1, n = 2461 at follow 2), all groups have ORs for incident depression above 1 considering 20 or more teeth as reference. In men, those with 10-19 teeth have 2.44 times higher odds of incident depression than those with 20 or more teeth (OR 2.44, CI 95% 1.33-4.50). Edentulous subjects at 4 years follow-up had 2.24 times higher odds of depression than those with more than 20 teeth (OR 2.24 CI 95%1.35-3.72). In women, the ORs (CI 95%) of incident depression were 2.56 (1.50-4.39), 1.56 (1.02-2.40) and 1.27 (0.90-1.81) for "none", "1-9", "10-19" respectively in comparison to the reference group. In edentulous individuals at baseline, the odds for each of the comparisons "mild vs no", "moderate vs no", "moderately severe vs no" and "severe vs no" were above 1, at both follow-ups.

CONCLUSION

Individuals with less than 20 teeth in the mouth could had higher odds of incident depression at 2- and 4-years follow-up, with differences between men and women. Also, in our study, edentulism was associated with increased odds of incident depression at 4-years follow-up in women, and with higher levels of severity of depressive symptoms.

Association between platelet to lymphocyte ratio and depression and symptom severity among adults in the United States: A cross-sectional study

Background

The pathogenesis of depression has not yet been fully understood. The association between platelet to lymphocyte ratio (PLR) and depression has been investigated in previous studies, however, the results were controversial. The objective of the study was to explore the potential relationship between PLR and depression and symptom severity.

Methods

A cross-sectional study was conducted based on the National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018. Totally 30,032 adults were analyzed, and 2480 reported depression. Depression and symptom severity were assessed with the Patient Health Questionnaire (PHQ-9). PLR was calculated as the ratio of platelets to lymphocytes. Multivariable weighted-logistic regression models and generalized additive model (GAM) were employed to evaluate the linear and nonlinear association between PLR and depression and symptom severity.

Results

There was a negative association for Q3 (odds ratio [OR]: 0.82, 95% confidence interval [CI]: 0.68 to 0.99) when comparing participants for Q1 between 10-PLR and depression after fully adjusting the covariates; however, there was no significant association between 10-PLR and symptom severity. GAM showed that 10-PLR was associated with depression and symptom severity in a nonlinear manner. The inflection points were at 12.15. Subgroup analyses showed nonlinear relationships only in specific subgroups. Conclusions: PLR is associated with depression among adults in the United States. U-shaped nonlinear relationships and threshold effects were observed between 10-PLR and depression and symptom severity. Additionally, inflammatory mechanisms vary in different sociodemographic subgroups.

Stress to inflammation and anhedonia: Mechanistic insights from preclinical and clinical models

Anhedonia, as evidenced by impaired pleasurable response to reward, reduced reward motivation, and/or deficits in reward-related learning, is a common feature of depression. Such deficits in reward processing are also an important clinical target as a risk factor for depression onset. Unfortunately, reward-related deficits remain difficult to treat. To address this gap and inform the development of effective prevention and treatment strategies, it is critical to understand the mechanisms that drive impairments in reward function. Stress-induced inflammation is a plausible mechanism of reward deficits. The purpose of this paper is to review evidence for two components of this psychobiological pathway: 1) the effects of stress on reward function; and 2) the effects of inflammation on reward function. Within these two areas, we draw upon preclinical and clinical models, distinguish between acute and chronic effects of stress and inflammation, and address specific domains of reward dysregulation. By addressing these contextual factors, the review reveals a nuanced literature which might be targeted for additional scientific inquiry to inform the development of precise interventions.

Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: Secondary analysis of two randomized controlled trials

Background

Depression is highly prevalent among individuals with chronic back pain. Internet-based interventions can be effective in treating and preventing depression in this patient group, but it is unclear who benefits most from this intervention format.

Method

In an analysis of two randomized trials (N = 504), we explored ways to predict heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain. Univariate treatment-moderator interactions were explored in a first step. Multilevel model-based recursive partitioning was then applied to develop a decision tree model predicting individualized treatment benefits.

Results

The average effect on depressive symptoms was d = -0.43 (95 % CI: -0.68 to -0.17; 9 weeks; PHQ-9). Using univariate models, only back pain medication intake was detected as an effect moderator, predicting higher effects. More complex interactions were found using recursive partitioning, resulting in a final decision tree with six terminal nodes. The model explained a large amount of variation (bootstrap-bias-corrected R2 = 45 %), with predicted subgroup-conditional effects ranging from di = 0.24 to -1.31. External validation in a pilot trial among patients on sick leave (N = 76; R2 = 33 %) pointed to the transportability of the model.

Conclusions

The studied intervention is effective in reducing depressive symptoms, but not among all chronic back pain patients. Predictions of the multivariate tree learning model suggest a pattern in which patients with moderate depression and relatively low pain self-efficacy benefit most, while no benefits arise when patients' self-efficacy is already high. If corroborated in further studies, the developed tree algorithm could serve as a practical decision-making tool.

When Bladder and Brain Collide: Is There a Gender Difference in the Relationship between Urinary Incontinence, Chronic Depression, and Anxiety?

In longitudinal and cross-sectional studies, depression and anxiety have been associated with urinary incontinence (UI) in women. However, this association has not been studied in men. Utilizing data from the 2008 Turkish Health Studies Survey conducted by the Turkish Statistical Institute, we analyzed 13,830 participants aged 15 years and above. We investigated the association of UI with psychological discomfort in both sexes using multivariable logistic regression. High psychological discomfort significantly correlated with UI in males (OR 2.30, 95% CI 1.43-3.71) and females (OR 2.78, 95% CI 1.80-4.29). Anxiety increased UI likelihood in females (OR 2.36, 95% CI 1.61-3.46) and males (OR 2.37, 95% CI 1.10-5.13). Depression related significantly to UI in females (OR 2.54, 95% CI 1.81-3.58) but not males (OR 1.63, 95% CI 0.71-3.76). Antidepressant and anxiolytic use was not significantly related to UI in either gender. Anxiety and psychological discomfort contribute to UI in both genders. While depression significantly correlates with UI in females, it does not show the same magnitude and significance in males. Antidepressant and anxiolytic use did not significantly influence the association. These findings underscore the psychological distress-UI link, advocating a holistic approach for managing UI in individuals with mental health conditions.

The prevalence and economic burden of treatment-resistant depression in Thailand

BACKGROUND

The objectives of this study were to investigate the proportion of treatment-resistant depression (TRD) among patients with diagnosed major depressive disorder (MDD) and undergoing antidepressant treatment, to estimate the economic cost of MDD, TRD, and non-treatment-resistant depression (non-TRD), and to examine the differences between TRD and non-TRD MDD in a Thai public tertiary hospital.

METHODS

This was a combined study between retrospective review of medical records and a cross-sectional survey. The sample size was 500 dyads of antidepressant-treated MDD patients and their unpaid caregivers. MDD patients' medical records, the concept of healthcare resource utilization, the Work Productivity and Activity Impairment Questionnaire: depression and mood & mental state versions (WPAI: D, MM), the Class Impairment Questionnaire (CIQ), and the Family Experiences Interview Schedule (FEIS) were applied as the tools of the study. Pearson Chi's square, Fisher's Exact test, and independent T-test were employed for statistical analysis.

RESULTS

The proportion of TRD was 19.6% among antidepressant-treated MDD patients in a Thai tertiary public hospital. The results of the study indicated that several factors showed a statistically significant association with TRD criteria. These factors included younger age of MDD patients, a younger age of onset of MDD, lower body mass index (BMI), a history of suicide attempts and self-harm, as well as frequent smoking behavior. The annualized economic cost of TRD was 276,059.97 baht per person ($7,668.33), which was significantly higher than that of cost of non-TRD (173,487.04 baht or $4,819.08). The aggregated economic costs of MDD were 96.8 million baht annually ($2.69 M) if calculated from 500 MDD patients and unpaid caregivers. This contributed to the economic cost of TRD 27.05 million baht (98 respondents) and the economic cost of non-TRD 69.74 million baht (402 respondents).

CONCLUSIONS

The economic burden associated with TRD was significantly higher compared to non-TRD among antidepressant-treated MDD patients. Specifically, both direct medical costs and indirect costs were notably elevated in the TRD group.

Structure-based development of new cyclic compounds targeting PSD-95 PDZ3 domain

Aberrant BDNF signaling has been proposed to contribute to the pathophysiology of depression and other neurological disorders such as Angelman syndrome. We have previously shown that targeting the TrkB / PSD-95 nexus by peptidomimetic inhibitors is a promising approach for therapeutic intervention. Here we used structure-based knowledge to develop a new peptidomimetic compound series that fuses SynGAP-derived peptides to our prototype compound CN2097. These compounds target the PSD-95 PDZ3 domain and adjoining αC helix to achieve bivalent binding that results in up to 7-fold stronger affinity compared to CN2097. These compounds were designed to improve CN2097 specificity for the PDZ3 domain and limited SAR studies have been performed to improve their resistance to proteolysis.

Evolution of the income-related gap in health with old age: evidence from 20 countries in European and Chinese panel datasets

Some studies show that the protective effect of higher income on health weakens with old age (age-as-leveller pattern), whereas others show that it strengthens with old age (cumulative advantage/disadvantage pattern). Many existing studies are limited in that they use single-country and/or single-timepoint designs. To overcome these limitations and better understand how the income-health gradient evolves in older age, we used cross-national and longitudinal data of the Survey of Health, Ageing and Retirement in Europe (2004-2019, N = 73,407) and the China Health and Retirement Longitudinal Study (2011-2018, N = 10,067). We operationalised health using multimorbidity and three alternative indicators (functional disability, mobility disability, and memory). We performed Poisson growth curve modelling to capture the between-participant effects of age and the within-participant effects of aging. We obtained three consistent and robust findings for Europe (patterns were observed in most countries) and China. First, the protective effect of higher income on multimorbidity, functional disability, and mobility disability was weaker for older than for younger adults (between-participant age-as-leveller pattern). Second, only the protective effect of higher income on mobility disability weakened over the later life course (within-participant age-as-leveller pattern). Third, the protective effect of higher income on memory was stronger for older than for younger adults and strengthened over the later life course (between-participant and within-participant cumulative advantage/disadvantage pattern). Longitudinal data, growth curve modelling distinguishing the between-participant from within-participant effect, and adjustments for potential confounders based on the hypothesised causal structure enabled us to better navigate the landscape of causal inference. Findings suggest that the income-related gap in physical health but not in cognitive health narrows in old age for both Europe and China.

Resilience and self-compassion among persons with depressive disorders: Prerequisite for a positive mental health approach

Background

Treatment gap for common mental health problems, especially of the depressive disorders is consequential in developing countries like India. Positive mental health domains like resilience and self-compassion have been long hailed as protective factors against depression and viable for use in therapeutic aspects. The objectives were to find an association between resilience, self-compassion, and depression.

Methods

The study was conducted using a cross-sectional design among 75 respondents who were seeking treatment for major depressive disorders from a tertiary care center during the second wave of COVID-19. Three scales were administered online, namely Beck's Depression Inventory-II (BDI-II), Connor Davidson Resilience Scale (CD RISC-25), and Self-Compassion Scale-Short Form (SCS-SF). Spearman's rank correlation test, Chi-square with Fisher's exact test, and Kruskal Wallis H test were used to study the relationships and differences in average scores with respect to the severity of depression.

Results

Most of the respondents had moderate depressive features along with moderately high levels of resilience (CD RISC 25) and self-compassion (SCS-SF) scores. Resilience and self-compassion were found to have no significant relationship with respect to the severity of depression. There was a weakly positive correlation between resilience and self-compassion among those with moderate and severe depression.

Conclusion

Since the individuals with depression had higher scores on resilience and self-compassion, the levels of depression remained at moderate levels of severity despite the devastating impact of the second wave of COVID-19 in the Indian sub-continent. Results are to be interpreted with respect to psychosocial contexts arising during the COVID-19 pandemic. Mental health programs can incorporate the variables of resilience and self-compassion in intervention among individuals with depression which have likely been beneficial in their process of recovery.

Cuproptosis-related genes prediction feature and immune microenvironment in major depressive disorder

Background

Major depressive disorder (MDD) is a severe, unpredictable, ill-cured, relapsing neuropsychiatric disorder. A recently identified type of death called cuproptosis has been linked to a number of illnesses. However, the influence of cuproptosis-related genes in MDD has not been comprehensively assessed in prior study.

Aim

This investigation intends to shed light on the predictive value of cuproptosis-related genes for MDD and the immunological microenvironment.

Methods

GSE38206, GSE76826, GSE9653 databases were used to analyze cuproptosis regulators and immune characteristics. To find the genes that were differently expressed, weighted gene co-expression network analysis was employed. We calculated the effectiveness of the random forest model, generalized linear model, and limit gradient lifting to arrive at the best machine prediction model. Nomogram, calibration curve, and decision curve analysis were used to show the anticipated MDD's accuracy.

Results

This study found that there were activated immune responses and cuproptosis-related genes that were dysregulated in people with MDD compared to healthy controls. Considering the test performance of the learned model and validation on subsequent datasets, the RF model (including OSBPL8, VBP1, MTM1, ELK3, and SLC39A6) was considered to have the best discriminative performance. (AUC = 0.875).

Conclusion

Our study constructed a prediction model to predict MDD risk and clarified the potential connection between cuproptosis and MDD.

Course of depression during the first 2 years postpartum among Brazilian women enrolled in a conditional cash transfer program

BACKGROUND

Women living in low- and middle-income countries are more exposed to known risk factors for depression occurrence and persistency over time.

AIM

Our aim was to investigate the course of depression in the first 2 years postpartum among Brazilian women enrolled in a cash transfer program.

METHOD

Longitudinal analysis of baseline (T0; mean 3.7 months postpartum) and first follow-up data (T1; mean 18.6 months postpartum) from a trial to assess the impact of a child development promotion program in 30 municipalities from six Brazilian states. The program does not include any interventions against maternal depression. The Edinburgh Postnatal Depression Scale (EPDS) at cutoff ⩾10 was applied. Women were categorized into four groups based on EPDS at T0 and T1: absence of depression, persistence, discontinuity, or emergence pattern. Adjusted Poisson regressions were run using a multilevel hierarchical model.

RESULTS

Two thousand eight hundred sixty-three women were assessed. Prevalence of depression was 26.4% [24.8, 28.1] at T0 and 24.4% [22.8, 26.0] at T1. Persistence, discontinuation, and emergence were found in 14.1% [11.3, 17.6%], 12.8% [11.4, 14.3%], and 10.2% [8.0, 13.0], respectively. In adjusted analyses, the persistence pattern was directly associated with parity and inversely associated with schooling of the woman and of the child's father. Living with husband/partner and support from the child's father and family members during pregnancy were protective against persistence. The discontinuity and the emergence patterns were not associated with any of the exposure variables.

CONCLUSIONS

Depressive symptoms were highly prevalent during the first 2 years postpartum. About half of the women with depression at T1 were persistent cases that could have been detected earlier. Screening for maternal depression should be an essential component in every encounter of women with health professionals in primary health care settings.

Effects of Adverse Childhood Experiences and Chronic Health Conditions on Current Depression

This study investigated the ability of three adverse childhood experience (ACE) types (household dysfunction, emotional/physical abuse, and sexual abuse) to predict current depression among adults. We also determined the contribution of ACEs to current depression after controlling for covariates and chronic illnesses. Respondents to the 2010 Behavioral Risk Factor Surveillance System (n = 20,345) were divided into depressed and not depressed groups based on Patient Health Questionnaire-8 (PHQ-8) scores. Binary logistic regression determined the ability of ACE exposure to predict depression while controlling for effects of covariates and number of chronic illnesses. Hierarchical multiple linear regression determined the association of ACEs on depression scores after accounting for the covariate set and chronic illnesses. Sexual Abuse had the single strongest association with current depression of any ACE exposure. Exposure to three ACE types has the greatest association with current depression. ACEs accounted for about 7% of the variance in depression scores.

Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach

Adolescent mental health problems are rising rapidly around the world. To combat this rise, clinicians and policymakers need to know which risk factors matter most in predicting poor adolescent mental health. Theory-driven research has identified numerous risk factors that predict adolescent mental health problems but has difficulty distilling and replicating these findings. Data-driven machine learning methods can distill risk factors and replicate findings but have difficulty interpreting findings because these methods are atheoretical. This study demonstrates how data- and theory-driven methods can be integrated to identify the most important preadolescent risk factors in predicting adolescent mental health. Machine learning models examined which of 79 variables assessed at age 10 were the most important predictors of adolescent mental health at ages 13 and 17. These models were examined in a sample of 1176 families with adolescents from nine nations. Machine learning models accurately classified 78% of adolescents who were above-median in age 13 internalizing behavior, 77.3% who were above-median in age 13 externalizing behavior, 73.2% who were above-median in age 17 externalizing behavior, and 60.6% who were above-median in age 17 internalizing behavior. Age 10 measures of youth externalizing and internalizing behavior were the most important predictors of age 13 and 17 externalizing/internalizing behavior, followed by family context variables, parenting behaviors, individual child characteristics, and finally neighborhood and cultural variables. The combination of theoretical and machine-learning models strengthens both approaches and accurately predicts which adolescents demonstrate above average mental health difficulties in approximately 7 of 10 adolescents 3-7 years after the data used in machine learning models were collected.

Changes in Multiple microRNA Levels with Antidepressant Treatment Are Associated with Remission and Interact with Key Pathways: A Comprehensive microRNA Analysis

Individual treatment outcomes to antidepressants varies widely, yet the determinants to this difference remain elusive. MicroRNA (miRNA) gene expression regulation in major depressive disorder (MDD) has attracted interest as a biomarker. This 4-week randomized controlled trial examined changes in the plasma miRNAs that correlated with the treatment outcomes of mirtazapine (MIR) and selective serotonin reuptake inhibitor (SSRI) monotherapy. Pre- and post- treatment, we comprehensively analyzed the miRNA levels in MDD patients, and identified the gene pathways linked to these miRNAs in 46 patients. Overall, 141 miRNA levels significantly demonstrated correlations with treatment remission after 4 weeks of MIR, with miR-1237-5p showing the most robust and significant correlation after Bonferroni correction. These 141 miRNAs displayed a negative correlation with remission, indicating a decreasing trend. These miRNAs were associated with 15 pathways, including TGF-β and MAPK. Through database searches, the genes targeted by these miRNAs with the identified pathways were compared, and it was found that MAPK1, IGF1, IGF1R, and BRAF matched. Alterations in specific miRNAs levels before and after MIR treatment correlated with remission. The miRNAs mentioned in this study have not been previously reported. No other studies have investigated treatment with MIR. The identified miRNAs also correlated with depression-related genes and pathways.

Combining inflammatory miRNA molecules as diagnostic biomarkers for depression: a clinical study

Background

Inflammation has been implicated in core features of depression pathophysiology and treatment resistance. Therefore, new challenges in the discovery of inflammatory mediators implicated in depression have emerged. MicroRNAs (miRNAs) have been found aberrantly expressed in several pathologies, increasing their potential as biomarkers and therapeutical targets. In this study, the aim was to assess the changes and biomarker potential of inflammation-related miRNAs in depression patients.

Methods

Depression diagnosis was performed according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). 40 healthy controls and 32 depression patients were included in the study. The levels of inflammatory cytokines were measured in plasma, and expression levels of cytokines and inflammation-related miRNAs were evaluated in peripheral blood mononuclear cells (PBMCs).

Results

Depression patients were found to have a pro-inflammatory profile in plasma, with significantly higher levels of TNF-α and CCL2 compared with controls. In PBMCs of depression patients, TNF-α and IL-6 expression levels were significantly up and downregulated, respectively. Moreover, miR-342 levels were found upregulated, while miR-146a and miR-155 were significantly downregulated. miR-342 expression levels were positively correlated with TNF-α. Importantly, when analyzed as a diagnostic panel, receiver operating characteristics (ROC) analysis of miR-342, miR-146a, miR-155 in combination, showed to be highly specific and sensitive in distinguishing between depression patients and healthy controls.

Conclusion

In summary, these findings suggest that inflammation-related miRNAs are aberrantly expressed in depression patients. Moreover, we show evidences on the potential of the combination of dysregulated miRNAs as a powerful diagnostic tool for depression.

Faith-Based Spiritual Intervention for Persons with Depression: Preliminary Evidence from a Pilot Study

Depression is a common, depleting, and potentially life-threatening disorder. This pilot study examined the feasibility and applicability, reported preliminary evidence for effectiveness, and explored the potential healing mechanisms of a faith-based spiritual intervention for people with depression. The intervention consisted of six weekly sessions focused on restoring a connection with the divine, forgiveness and freedom, suffering and transcendence, hope, gratitude, and relapse prevention. Seven adults with mild or moderate depressive symptoms were recruited. A qualitative evaluation was conducted via focus group discussions, and rating scales were administered at baseline, after the intervention, and at the 3-month follow-up. The mean difference scores of the treatment's effect over time were analyzed using Friedman's ANOVA. The themes identified by the focus group included the meaning of the spiritual intervention, the effect of involvement in a spiritual group, and the therapeutic components. The results indicated a significant decrease in the mean scores for depression (PHQ-9) after intervention and at the 3-month follow-up. Participants expressed their improvement in terms of increased knowledge about depression, enhanced coping mechanisms, and improved self-esteem. The preliminary evidence suggested that the faith-based spiritual intervention was effective in reducing depressive symptoms and also helped participants develop a greater sense of connection with themselves, others, and their environment.