Mitochondrial dynamics and psychiatric disorders: The missing link.

Elucidating the molecular mechanisms of psychopathology is crucial for optimized diagnosis and treatment. Accumulating literature has underlined how mitochondrial bioenergetics affect major psychiatric disorders. However, how mitochondrial dynamics, a term addressing mitochondria quality control, including mitochondrial fission, fusion, biogenesis and mitophagy, is implicated in psychopathologies remains elusive. In this review we summarize the existing literature on mitochondrial dynamics perturbations in psychiatric disorders/neuropsychiatric phenotypes. We include preclinical/clinical literature on mitochondrial dynamics recalibrations in anxiety, depression, post-traumatic stress disorder (PTSD), bipolar disorder and schizophrenia. We discuss alterations in mitochondrial network, morphology and shape; molecular markers of the mitochondrial dynamics machinery and mitochondrial DNA copy number (mtDNAcn) in animal models and human cohorts in brain and peripheral material. By looking for common altered mitochondrial dynamics patterns across diagnoses/phenotypes, we highlight mitophagy and biogenesis as regulators of anxiety and depression pathophysiology, respectively, as well as the fusion mediator dynamin-like 120kDa protein (Opa1) as a molecular hub contributing to psychopathology. Finally, we comment on limitations and future directions in this novel neuropsychiatry field.

Synaptic proteome perturbations after maternal immune activation: Identification of embryonic and adult hippocampal changes.

BACKGROUND: Maternal immune activation (MIA) triggers neurobiological changes in offspring, potentially reshaping the molecular synaptic landscape, with the hippocampus being particularly vulnerable. However, critical details regarding developmental timing of these changes and whether they differ between males and females remain unclear. METHODS: We induced MIA in C57BL/6J mice on gestational day nine using the viral mimetic poly(I:C) and performed mass spectrometry-based proteomic analyses on hippocampal synaptoneurosomes of embryonic (E18) and adult (20 ±â€¯1 weeks) MIA offspring. RESULTS: In the embryonic synaptoneurosomes, MIA led to lipid, polysaccharide, and glycoprotein metabolism pathway disruptions. In the adult synaptic proteome, we observed a dynamic shift toward transmembrane trafficking, intracellular signalling cascades, including cell death and growth, and cytoskeletal organisation. In adults, many associated pathways overlapped between males and females. However, we found distinct sex-specific enrichment of dopaminergic and glutamatergic pathways. We identified 50 proteins altered by MIA in both embryonic and adult samples (28 with the same directionality), mainly involved in presynaptic structure and synaptic vesicle function. We probed human phenome-wide association study data in the cognitive and psychiatric domains, and 49 of the 50 genes encoding these proteins were significantly associated with the investigated phenotypes. CONCLUSIONS: Our data emphasise the dynamic effects of viral-like MIA on developing and mature hippocampi and provide novel targets for study following prenatal immune challenges. The 22 proteins that changed directionality from the embryonic to adult hippocampus, suggestive of compensatory over-adaptions, are particularly attractive for future investigations.

Quality of Life Among Breast Cancer Patients in Mures County, Romania: A Cross-Sectional Study.

Background and aim Psychiatric pathology does not always start on its own but may be conditioned or triggered by a comorbidity with a high impact on the human psyche. When there are comorbidities, psychiatric pathology can occur due to the high diagnostic burden. Our study aims to find out if there is a correlation between the diagnosis of breast cancer and its severity, and psychiatric symptoms such as depressive mood, atypical anxiety, or even autolytic ideation that directly influence the quality of life of patients. Materials and methods The study is a prospective, cross-sectional, single-center study carried out between December 2023 and June 2024 at the Mureș County Clinical Hospital in Romania. The sample population had to be at least 18 years old and had to be diagnosed with breast cancer recently. We applied two tests, WHODAS 2 (World Health Organization's Disability Assessment Schedule 2.0) and level 1 (level 1 of cross-sectional measurements of symptoms), to be able to measure and aid assessment of mental health domains that are important across psychiatric diagnoses and also the degree of disability triggered by breast cancer. The statistical analysis included descriptive statistics and interferential statistics. Statistical tests, such as Shapiro-Wilk, Kruskal-Wallis, and Mann-Whitney U tests with Bonferroni correction tests, were used. The p-value was set to 0.05 with a confidence interval (CI) of 95%. Results The study included 120 women diagnosed with breast cancer, with a mean age of 56.64 ± 9.46 years. Regarding the severity of the diagnosis, 44 women (36.66%) had non-invasive cancer, 58 (48.33%) had invasive cancer, and 18 (15%) had metastases. There was a statistically significant difference between three of the five selected level 1 domains across cancer types. The WHODAS 2.0 disability scores showed a significant difference between groups (p < 0.001). Subjects with non-invasive cancer had the lowest WHODAS 2.0 score, followed by the invasive group, while metastases had the highest score. Conclusions Following the application of the two tests, level 1 and WHODAS 2.0, to our group of subjects, statistically significant differences were observed between the three categories of subjects. The degree of disability and the occurrence of psychological symptoms differed according to the severity of breast cancer. Adapting to the status of an oncological patient entails multiple changes from a psycho-emotional, social, occupational, and professional point of view. Although the most recent medications prolong survival, a holistic approach that considers psychological aspects can improve patients' long-term results.

Risk stratification of new-onset psychiatric disorders using clinically distinct traumatic brain injury phenotypes.

BACKGROUND: Patients with traumatic brain injury (TBI) constitute a highly heterogeneous population, with varying risks for New-onset Psychiatric Disorders (NPDs). The objectives of this study were to identify TBI phenotypes and determine how NPDs differ among these phenotypes. METHODS: Hospitalized TBI patients from 2003 to 2019 were obtained from the provincial trauma registry. Propensity score matching was conducted to balance covariates among patients with TBI and controls. To uncover heterogeneity in TBI, latent class analysis (LCA)-based clustering was applied. LCA was conducted separately for two TBI cohorts: those with and without pre-injury psychiatric conditions The effect of classes on NPDs was assessed using log binomial regression models. RESULTS: A total of 3,453 patients with TBI and 13,112 controls were included in the analysis. In a conditional regression involving propensity matched patients with TBI and controls, TBI was significantly associated with the development of NPD-A (OR: 2.78; 95% CI: 2.49-3.09), as well as NPD-P (OR: 2.36; 95% CI: 2.07-2.70). Eight distinct latent classes were identified which differed in the incidence of NPDs. Four classes displayed a 53% (RR:1.53; 95% CI: 1.31-1.78), 48% (RR:1.48; 95% CI: 1.26-1.74), 28% (RR:1.28; 95% CI: 1.08-1.54), and 20% (RR: 1.20, 95%CI: 1.03-1.39), increased NPD risk. CONCLUSION: TBI is a significant predictor of NPDs. There are clinically distinguishable phenotypes with different patterns of NPD risk among patients with TBI. Identifying individuals with respect to their phenotype may improve risk stratification of patients with TBI and promote early intervention for psychiatric care in this vulnerable population.

Hospital admissions in adolescents with mental disorders in Spain over the last two decades: a mental health crisis?

Mental disorders account for a large and increasing health burden worldwide. Characterizing the spectrum of mental disorders and trends over time in adolescents should influence education policies and support preventative strategies at schools. Retrospective study of all hospitalizations in Spain in adolescents 11-18-years old, including mental disorders as diagnosis using the Spanish National Registry of Hospital Discharges. Information was retrieved from 2000 to 2021. During the 22-year study period there were 2,015,589 hospitalizations in adolescents in Spain, of which 118,609 (5.9%) had mental disorders. The rate of psychiatric diagnoses significantly increased from 3.9% in 2000 to 9.5% in 2021. Females accounted for 55.1% of admissions. Mean age at admission declined from 17 to 15 years-old from 2000 to 2021. Mean hospital stay was 10.6 days. Mean in-hospital mortality was 0.24%. By rate order, diagnoses were: substance use disorders (SUD) (40%) > eating disorders (15%) > anxiety/posttraumatic stress disorder (PTSD) (13%) > attention deficit hyperactivity disorder (ADHD) (9%) > major depression (8%) > schizophrenia/psychosis (6%) > autism spectrum disorder (ASD) (6%) > sleep disorder (3%) > suicidal behavior (2%) > sexual disorders (1%). A significant gender dichotomy was noticed, with female predominance for internalizing disorders (i.e., anxiety, depression, suicidal behavior and eating disorders) whereas externalizing disorders (i.e., SUD, ADHD, ASD, schizophrenia and other psychoses) predominated in males. Suicidal behavior and male sex were independent predictors of in-hospital death in multivariate analysis. After the first year of the COVID-19 pandemic, hospitalizations due to mental disorders in adolescents increased by 51% in 2021. There is a growing crisis of mental health among adolescents in Spain. Although the COVID-19 pandemic has unveiled the high rate and severity of psychiatric disorders among youth, a steadily increase has occurred since the beginning of the millennium. Primary preventative strategies should be adapted to distinct and more prevalent mental disorders in adolescents.

Investigating bilirubin concentrations in schizophrenia: A systematic review and meta-analysis.

Schizophrenia, a severe mental disorder characterized by chronic disability and poor quality of life, has been shown to be associated with alterations in redox balance. Recent research has suggested a potential link between the antioxidant bilirubin and schizophrenia, although findings have been inconsistent. To address this gap, we conducted a systematic review and meta-analysis to evaluate possible alterations in bilirubin concentrations in schizophrenia. A comprehensive search of major databases was conducted to identify articles reporting total and unconjugated bilirubin in schizophrenic patients and healthy controls in case-control studies. Our meta-analysis included 18 studies investigating 16,245 participants. The pooled results did not reveal any significant association between schizophrenia and total bilirubin concentrations. Additionally, such effect was strongly influenced by the results of a single study in sensitivity analysis. Subgroup and meta-regression analyses based on various factors such as study design, sample size, and geographical region showed no significant associations with the effect size, nor they identified sources of heterogeneity. Furthermore, publication bias assessments were conducted to ensure the robustness of the findings. Overall, our findings summarize the available evidence regarding the possible role of bilirubin as a biomarker of schizophrenia and highlight the importance of conducting further research in this area.

Age of onset of major depressive episode and association with lifetime psychiatric disorders, health-related quality of life and impact of gender: A cross sectional and retrospective cohort study.

OBJECTIVE: To assess the long-term impact of the age of onset (AOO) of the first major depressive episode (MDE) according to 3 age groups and considering gender. METHODS: Data were extracted from NESARC III, a representative U.S. SAMPLE: We included 8053 participants with an MDE history in a cross-sectional and retrospective cohort study. We defined 3 AOO groups: childhood-onset (< 13 yo), adolescence-onset (13-18 yo), and adult-onset (> 18 yo). We compared sociodemographic characteristics, lifetime psychiatric disorders per DSM-5 criteria, and health-related quality of life (HRQOL) in each group and performed gender-stratified analyses. RESULTS: Prevalence of childhood-onset MDE was 10.03 %, adolescence-onset was 14.12 %, and adult-onset was 75.85 %. Suicide attempts (AOR = 3.61; 95 % CI 2.90-4.50), anxiety disorders (AOR = 1.92; 95 % CI 1.62-2.27), and personality disorders (AOR = 3.08; 95 % CI 2.56-3.71) were more frequent in the childhood-onset than in the adult-onset one. Adolescence-onset group showed similar results. Physical Disability scale (p < 0.001) and Mental Disability scale (p < 0.001) were significantly lower in the childhood-onset group. Results were more nuanced in the adolescence-onset group. Women in childhood-onset and adolescence-onset groups had poorer outcomes than the adult-onset group. Differences were less pronounced in men. LIMITATIONS: Recall and classification biases inherent to survey design. CONCLUSION: Individuals, particularly women, who experienced their first MDE during childhood or adolescence exhibit higher lifetime psychiatric disorder prevalence and poorer HRQOL than those with adult-onset MDE. These findings highlight the importance of preventive measures, early diagnosis, and treatment of youth depression.

Childhood Maltreatment and Biological Aging in Middle Adulthood: The Role of Psychiatric Symptoms.

Background: Childhood maltreatment and psychiatric morbidity have each been associated with accelerated biological aging primarily through cross-sectional studies. Using data from a prospective longitudinal study of individuals with histories of childhood maltreatment and control participants followed into midlife, we tested 2 hypotheses examining whether 1) psychiatric symptoms mediate the relationship between childhood maltreatment and biological aging and 2) psychiatric symptoms of anxiety, depression, or posttraumatic stress disorder (PTSD) act in conjunction with childhood maltreatment to exacerbate the association of child maltreatment to aging. Methods: Children (ages 0-11 years) with documented histories of maltreatment and demographically matched control children were followed into adulthood (N = 607) and interviewed over several waves of the study. Depression, anxiety, and PTSD symptoms were assessed at mean ages of 29 (interview 1) and 40 (interview 2) years. Biological age was measured from blood chemistries collected later (mean age = 41 years) using the Klemera-Doubal method. Hypotheses were tested using linear regressions and path analyses. Results: Adults with documented histories of childhood maltreatment showed more symptoms of depression, PTSD, and anxiety at both interviews and more advanced biological aging, compared with control participants. PTSD symptoms at both interviews and depression and anxiety symptoms only at interview 2 predicted accelerated biological aging. There was no evidence of mediation; however, anxiety and depression moderated the relationship between childhood maltreatment and biological aging. Conclusions: These new findings reveal the shorter- and longer-term longitudinal impact of PTSD on biological aging and the amplifying effect of anxiety and depression on the relationship between child maltreatment and biological aging.

Childhood maltreatment and psychiatric morbidity are associated with biological aging. We used data from a prospective longitudinal study of children with documented histories of maltreatment and demographically matched control participants followed and interviewed in adulthood. Depression, anxiety, and posttraumatic stress disorder (PTSD) were assessed at ages 29 and 40 years, and biological age was measured from blood chemistries collected later. Adults with histories of childhood maltreatment showed more symptoms of depression, PTSD, and anxiety and more advanced biological aging compared with control participants. PTSD symptoms predicted accelerated biological aging longitudinally. Anxiety and depression amplified the relationship between child maltreatment and biological aging.

Trends in suicidal behavior among hospitalized adolescents in Spain over two decades.

BACKGROUND: Suicide ranks as a leading cause of premature death among adolescents globally. Understanding the trends and key determinants of suicidal behavior in youth are critical for implementing educational policies and supporting preventive strategies in schools. METHODS: This retrospective study examined all hospitalizations due to suicidal behavior in children and adolescents aged 11 to 18 years in Spain, using data from the Spanish National Registry of Hospital Discharges spanning 2000 to 2021. RESULTS: Over the 22-year study period, there were 2,015,589 hospitalizations among adolescents in Spain, with 118,609 (5.9 %) cases involving mental disorders. There were 2855 admissions with suicidal behavior, constituting 2.4 % of the hospitalizations among youth with mental disorders. Girls represented 73.4 % of all hospitalizations, with a median age of 16 years. Admissions for suicidal behavior saw a four-fold increase during the last decade (p < 0.001). The in-hospital mortality rate for adolescents with suicidal behavior doubled that of those hospitalized for other mental disorders. During the first year of the COVID-19 pandemic, admissions of adolescents with suicidal behavior decreased, only to surge by 2.5-fold during 2021. CONCLUSION: Hospital admissions for suicidal behavior among adolescents have risen in Spain over the last two decades. Girls represented 73.4 % of these admissions, yet in-hospital mortality was more frequent in boys.

Causality between six psychiatric disorders and digestive tract cancers risk: a two-sample Mendelian randomization study.

Associations between psychiatric disorders and digestive tract cancers have been proposed. However, the causal link between these factors remains unclear. This study pioneers Mendelian randomization (MR) analysis to explore the genetic link between psychiatric disorders and digestive tract cancers risk. We analysed data on six psychiatric disorders [schizophrenia, bipolar disorder, major depressive disorder (MDD), attention deficit hyperactivity disorder, autism spectrum disorder, and panic disorder (PD)] and digestive tract cancers [esophagus cancer (EC), gastric cancer (GC), and colorectal cancer (CRC)] from genome-wide association studies databases. Using instrumental variables identified from significant single nucleotide polymorphism associations, we employed the inverse variance weighted (IVW) method alongside the weighted median (WM) method and MR-Egger regression. The results revealed no causal link between psychiatric disorders and the risk of EC or GC. Psychiatric disorders were not identified as risk factors for CRC. Notably, PD demonstrated a lower CRC risk (OR = 0.79, 95% CI 0.66-0.93, P = 0.01). This MR analysis underscores the lack of a causal association between psychiatric disorders and digestive tract cancers risk while suggesting a potential protective effect of PD against CRC.

Glia as a New Target for Therapeutic Actions of Electroconvulsive Therapy.

Although electroconvulsive therapy (ECT) has immediate and profound effects on severe psychiatric disorders compared to pharmacotherapy, the mechanisms underlying its therapeutic effects remain elusive. Increasing evidence indicates that glial activation is a common pathogenetic factor in both major depression and schizophrenia, raising the question of whether ECT can inhibit glial activation. This article summarizes the findings from both clinical and experimental studies addressing this key question. Based on the findings, it is proposed that the suppression of glial activation associated with neuroinflammation is the mechanism by which ECT restores brain homeostasis and exerts its therapeutic effects.

Effect of emotions on learning, memory, and disorders associated with the changes in expression levels: A narrative review.

Emotions, in general, have no scientific definition. Emotions can be denoted as the mental state because of the neurophysiological changes. Emotions are related to mood, personality, temperament, and consciousness. People exhibit different emotions in different situations causing changes in cognitive functions. One of the major cognitive functions is the ability to learn, to store the acquired information in the parts of the brain such as the hippocampus, amygdala, cortex, and cerebellum. Learning and memory are affected by different types of emotions. Emotional responses such as fear, depression, and stress have impaired effects on cognitive functions such as learning and memory, whereas optimistic and happy emotions have positive effects on long-term memory. Certain disorders have greater effects on the regions of the brain which are also associated with synaptic plasticity and Learning and Memory(LM). Neuroimaging techniques are involved in studying the changing regions of the brain due to varied emotions and treatment strategies based on the changes observed. There are many drugs, and in advancements, nanotechnology is also utilized in the treatment of such psychiatric disorders. To improve mental health and physical health, emotional balance is most important, and effective care should be provided for people with less emotional quotient and different types of disorders to inhibit cognitive dysfunctions. In this review, emotions and their varied effects on a cognitive function named learning and memory, disorders associated with the defects of learning due to emotional instability, the areas of the brain that are in control of emotions, diagnosis, and treatment strategies for psychiatric disorders dependent on emotions are discussed.

Risks of developing major psychiatric disorders among child and adolescent intensive care unit survivors.

BACKGROUND: The mental health of child and adolescent intensive care unit (ICU) survivors is increasingly being researched. However, the literature on how various types of critical illness influence specific psychiatric disorders remains limited. METHODS: This study analyzed the data of 8704 child and adolescent ICU survivors and 87,040 age-, sex-, family income-, and residence-matched controls who were followed from enrollment to the end of 2013; the data covered the period from 1996 to 2013 and were extracted from a nationwide data set. The primary outcomes were the risks of five major psychiatric disorders (MPDs), namely schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), obsessive compulsive disorder (OCD), and posttraumatic stress disorder (PTSD). RESULTS: Relative to the controls, the child and adolescent ICU survivors (mean age = 10.33 years) exhibited higher risks of developing five MPDs. The associated hazard ratios (HRs) and confidence intervals (CIs) are as follows: PTSD, HR = 4.67, 95 % CI = 2.42-9.01; schizophrenia, HR = 3.19, 95 % CI = 2.27-4.47; BD, HR = 2.02, 95 % CI = 1.33-3.05; OCD, HR = 1.96, 95 % CI = 1.21-3.16; and MDD, HR = 1.68, 95 % CI = 1.44-1.95. The risks of developing MPDs varied across multiple types of critical illness related to ICU admission. CONCLUSIONS: The risks of MPDs were significantly higher among the child and adolescent ICU survivors than among the controls. The development of appropriate MPD prevention strategies should be emphasized for this vulnerable population.

Long-term outcomes in patients with Cushing's disease vs nonfunctioning pituitary adenoma after pituitary surgery: an active-comparator cohort study.

OBJECTIVE: There is increasing evidence that multisystem morbidity in patients with Cushing's disease (CD) is only partially reversible following treatment. We investigated complications from multiple organs in hospitalized patients with CD compared to patients with nonfunctioning pituitary adenoma (NFPA) after pituitary surgery. DESIGN: Population-based retrospective cohort study using data from the Swiss Federal Statistical Office between January 2012 and December 2021. METHODS: Through 1:5 propensity score matching, we compared hospitalized patients undergoing pituitary surgery for CD or NFPA, addressing demographic differences. The primary composite endpoint included all-cause mortality, major adverse cardiac events (ie, myocardial infarction, unstable angina, heart failure, cardiac arrest, and ischemic stroke), hospitalization for psychiatric disorders, sepsis, severe thromboembolic events, and fractures in need of hospitalization. Secondary endpoints comprised individual components of the primary endpoint and surgical reintervention due to disease persistence or recurrence. RESULTS: After matching, 116 patients with CD (mean age 45.4 years [SD, 14.4], 75.0% female) and 396 with NFPA (47.3 years [14.3], 69.7% female) were included and followed for a median time of 50.0 months (IQR 23.5, 82.0) after pituitary surgery. Cushing's disease presence was associated with a higher incidence rate of the primary endpoint (40.6 vs 15.7 events per 1000 person-years, hazard ratio [HR] 2.75; 95% CI, 1.54-4.90). Cushing's disease patients also showed increased hospitalization rates for psychiatric disorders (HR 3.27; 95% CI, 1.59-6.71) and a trend for sepsis (HR 3.15; 95% CI, .95-10.40). CONCLUSIONS: Even after pituitary surgery, CD patients faced a higher hazard of complications, especially psychiatric hospitalizations and sepsis.

Neural activity during inhibitory control predicts suicidal ideation with machine learning.

Suicide is a leading cause of death in the US and worldwide. Current strategies for preventing suicide are often focused on the identification and treatment of risk factors, especially suicidal ideation (SI). Hence, developing data-driven biomarkers of SI may be key for suicide prevention and intervention. Prior attempts at biomarker-based prediction models for SI have primarily used expensive neuroimaging technologies, yet clinically scalable and affordable biomarkers remain elusive. Here, we investigated the classification of SI using machine learning (ML) on a dataset of 76 subjects with and without SI(+/-) (n = 38 each), who completed a neuro-cognitive assessment session synchronized with electroencephalography (EEG). SI+/- groups were matched for age, sex, and mental health symptoms of depression and anxiety. EEG was recorded at rest and while subjects engaged in four cognitive tasks of inhibitory control, interference processing, working memory, and emotion bias. We parsed EEG signals in physiologically relevant theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) frequencies and performed cortical source imaging on the neural signals. These data served as SI predictors in ML models. The best ML model was obtained for beta band power during the inhibitory control (IC) task, demonstrating high sensitivity (89%), specificity (98%). Shapley explainer plots further showed top neural predictors as feedback-related power in the visual and posterior default mode networks and response-related power in the ventral attention, fronto-parietal, and sensory-motor networks. We further tested the external validity of the model in an independent clinically depressed sample (n = 35, 12 SI+) that engaged in an adaptive test version of the IC task, demonstrating 50% sensitivity and 61% specificity in this sample. Overall, the study suggests a promising, scalable EEG-based biomarker approach to predict SI that may serve as a target for risk identification and intervention.

This study achieves a high-accuracy machine learning model that can classify an individual as having suicidal ideation or not from source-localized EEG signals captured during an inhibitory control task. In addition, we have identified key brain regions that drive this model.

Measuring mental wellbeing in clinical and non-clinical adolescents using the COMPAS-W Wellbeing Scale.

Introduction: Adolescence is a key period of vulnerability for poor mental health as the brain is still developing and may be more sensitive to the negative impacts of stress and adversity. Unfortunately, few measures comprehensively assess wellbeing in adolescents. Methods: The 26-item COMPAS-W Wellbeing Scale for adults was validated in a sample of 1,078 adolescents aged 13-17 years old (51.67% male, 79.13% non-clinical vs 20.87% psychiatric or developmental clinical cases). The six COMPAS-W sub-scales and total scale were examined in this sample using second-order confirmatory factor analysis, and psychometric testing. Results: The 23-item COMPAS-W demonstrated the best fit for this sample according to goodness-of-fit indices (χ 2 (220, 1078) = 1439.395, p < 0.001, CFI = 0.893, TLI = 0.877, RMSEA = 0.070, SRMR = 0.095). Internal reliability for the confirmed 23-item COMPAS-W model was run for the total scale (α = 0.912) and sub-scales (Composure, α = 0.735; Own-worth, α = 0.601; Mastery, α = 0.757; Positivity, α = 0.721; Achievement, α = 0.827; and Satisfaction, α = 0.867). Test-retest reliability over 6 weeks was also good for the total scale at r = 0.845 and the sub-scales: Composure (r = 0.754), Own-worth (r = 0.743), Mastery (r = 0.715), Positivity (r = 0.750), Achievement (r = 0.750), and Satisfaction (r = 0.812). Compared with non-clinical participants' wellbeing (M = 90.375, SE = 0.400), those with clinical diagnoses reported lower wellbeing, both for those with developmental diagnoses (M = 85.088, SE = 1.188), or psychiatric diagnoses (M = 78.189, SE = 1.758), or combined developmental and psychiatric diagnoses (M = 77.079, SE = 2.116). Yet, when wellbeing category scores were considered by diagnosis group, both non-clinical and clinical groups demonstrated incidence across all three categories of languishing, moderate and flourishing wellbeing, in support of the dual-continua model of mental health. On average, younger adolescents' (13-14 years) wellbeing did not differ from older adolescents' (15-17 years) wellbeing; however, for sex, males scored 1.731 points significantly higher in wellbeing compared with females (p = 0.028); and American participants scored 3.042 points significantly higher in wellbeing compared with Australian participants (p < 0.001). Discussion: In conclusion, the 23-item COMPAS-W is a reliable measure of wellbeing for adolescents, both for those with and without developmental and psychiatric diagnoses.

The BDNF Val66Met polymorphism serves as a potential marker of body weight in patients with psychiatric disorders.

Brain-derived neurotrophic factor (BDNF) is a predominant neurotrophic factor in the brain, indispensable for neuronal growth, synaptic development, neuronal repair, and hippocampal neuroplasticity. Among its genetic variants, the BDNF Val66Met polymorphism is widespread in the population and has been associated with the onset and aggravation of diverse pathologies, including metabolic conditions like obesity and diabetes, cardiovascular ailments, cancer, and an array of psychiatric disorders. Psychiatric disorders constitute a broad category of mental health issues that influence mood, cognition, and behavior. Despite advances in research and treatment, challenges persist that hinder our understanding and effective intervention of these multifaceted conditions. Achieving and maintaining stable body weight is pivotal for overall health and well-being, and the relationship between psychiatric conditions and body weight is notably intricate and reciprocal. Both weight gain and loss have been linked to varying mental health challenges, making the disentanglement of this relationship critical for crafting holistic treatment strategies. The BDNF Val66Met polymorphism's connection to weight fluctuation in psychiatric patients has garnered attention. This review investigated the effects and underlying mechanisms by which the BDNF Val66Met polymorphism moderates body weight among individuals with psychiatric disorders. It posits the polymorphism as a potential biomarker, offering prospects for improved monitoring and therapeutic approaches for mental illnesses.

Healthcare resource utilization and costs associated with psychiatric comorbidities in pediatric patients with attention-deficit/hyperactivity disorder: a claims-based case-cohort study.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) has been shown to pose considerable clinical and economic burden; however, research quantifying the excess burden attributable to common psychiatric comorbidities of ADHD among pediatric patients is scarce. This study assessed the impact of anxiety and depression on healthcare resource utilization (HRU) and healthcare costs in pediatric patients with ADHD in the United States. METHODS: Patients with ADHD aged 6-17 years were identified in the IQVIA PharMetrics Plus database (10/01/2015-09/30/2021). The index date was the date of initiation of a randomly selected ADHD treatment. Patients with ≥ 1 diagnosis for anxiety and/or depression during both the baseline (6 months pre-index) and study period (12 months post-index) were classified in the ADHD+anxiety/depression cohort; those without diagnoses for anxiety nor depression during both periods were classified in the ADHD-only cohort. Entropy balancing was used to create reweighted cohorts. All-cause HRU and healthcare costs during the study period were compared using regression analyses. Cost analyses were also performed in subgroups by comorbid conditions. RESULTS: The reweighted ADHD-only cohort (N = 204,723) and ADHD+anxiety/depression cohort (N = 66,231) had similar characteristics (mean age: 11.9 years; 72.8% male; 56.2% had combined inattentive and hyperactive ADHD type). The ADHD+anxiety/depression cohort had higher HRU than the ADHD-only cohort (incidence rate ratios for inpatient admissions: 10.3; emergency room visits: 1.6; outpatient visits: 2.3; specialist visits: 5.3; and psychotherapy visits: 6.1; all p < 0.001). The higher HRU translated to greater all-cause healthcare costs; the mean per-patient-per-year (PPPY) costs in the ADHD-only cohort vs. ADHD+anxiety/depression cohort was $3,988 vs. $8,682 (p < 0.001). All-cause healthcare costs were highest when both comorbidities were present; among patients with ADHD who had only anxiety, only depression, and both anxiety and depression, the mean all-cause healthcare costs were $7,309, $9,901, and $13,785 PPPY, respectively (all p < 0.001). CONCLUSIONS: Comorbid anxiety and depression was associated with significantly increased risk of HRU and higher healthcare costs among pediatric patients with ADHD; the presence of both comorbid conditions resulted in 3.5 times higher costs relative to ADHD alone. These findings underscore the need to co-manage ADHD and psychiatric comorbidities to help mitigate the substantial burden borne by patients and the healthcare system.

Potential value and research frontiers of virus in neuroinflammation: a bibliometric and visualized analysis.

Background: Neuroinflammation represents the immune response of the central nervous system to nerve injury, infection, toxin stimulation, or autoimmunity and is implicated in a wide range of neurological disorders. Viruses play a pivotal role as extrinsic biological drivers in neuroinflammation; however, numerous aspects remain unexplored. In this study, we employed bibliometric analysis to assess the current status of viral research in neuroinflammation and anticipate future research directions and emerging trends. Methods: Conduct a comprehensive search for scholarly publications within the Web of Science Core Collection database, with search terms on neuroinflammation and virus. Apply Microsoft Excel Office, Hiplot, R (version 4.3.1), VOSviewer (version 1.6.20) and CiteSpace (6.2.R6, advanced) software for the bibliometric analysis and visualization. Results: A total of 4230 articles and reviews on virus and neuroinflammation were identified, demonstrating a consistent upward trend over time. The United States was the country that contributed the most publications. Approximately 22274 authors from 4474 institutions contributed to the research. Johns Hopkins University leads with the highest number of publications and citations. The top three authors with the most published articles on this field are Power, C., Lane, T. E., and Buch, S. The Journal of Neuroinflammation is the most authoritative choice for researchers. The main research focuses in this field include multiple sclerosis, Parkinson's disease, blood-brain barrier, COVID-19, Alzheimer's disease, gene therapy. In recent years, stress have emerged as hot keywords, particularly depression, human immunodeficiency virus-associated neurocognitive disorders, blood-brain barrier, gut microbiota related directions, indicating a potential shift in research focus. Conclusion: Research on the virus and neuroinflammation has attracted increasing attention in the past decade. European and American countries have been pivotal in conducting research on virus and neuroinflammation, while China has produced a significant number of publications, its impact is still limited. Stress is likely to emerge as the next area of focus in this field. The association and regulation between viral infection and psychiatric disorders are not fully understood, and further research is needed to explore the role of neuroinflammation caused by different types of viral infection and psychiatric disorders.

Plasma neurofilament light protein is differentially associated with age in individuals with treatment-resistant schizophrenia and bipolar affective disorder compared to controls.

Accelerated brain ageing has been observed in multiple psychiatric disorders. This study examined whether relationships between age and plasma neurofilament light (NfL) protein differed in individuals with psychiatric disorders (major depressive disorder (n = 42), bipolar affective disorder (n = 121), treatment-resistant schizophrenia (TRS, n = 82)) compared to two healthy control (HC) groups (n = 1,926 and n = 59). Compared to two independent HC samples, individuals with TRS demonstrated a stronger positive relationship between age and NfL levels. Individuals with BPAD had a stronger negative relationship between age and NfL levels compared to the large normative HC cohort, but not locally-acquired HCs. These findings show that plasma NfL levels are differentially associated with age in individuals with TRS and BPAD compared to healthy individuals.