Depressive Bipolar Disorder Research Articles

One-year efficacy of a lifestyle behavioural intervention on physical and mental health in people with severe mental disorders: results from a randomized controlled trial

This multicentric randomized controlled trial (RCT), carried out in six Italian University mental health sites, aims to test the efficacy of a six-month psychosocial intervention (LYFESTYLE) on Body Mass Index (BMI), body weight, waist circumference, fasting glucose, triglycerides, cholesterol, Framingham and HOmeostasis Model Assessment of insulin resistance (HOMA-IR) indexes in patients with schizophrenia, bipolar disorder, and major depression. Moreover, the efficacy of the intervention has also been tested on several other physical and mental health domains. Patients were randomly allocated to receive the six-month experimental intervention (LIFESTYLE) or a behavioural control intervention. All enrolled patients were assessed at baseline and after one year. We recruited 401 patients (206 in the experimental and 195 in the control group) with a diagnosis of schizophrenia or other psychotic disorder (29.9%), bipolar disorder (43.3%), or major depression (26.9%). At one year, patients receiving the experimental intervention reported an improvement in body mass index, body weight, waist circumference, HOMA-IR index, anxiety and depressive symptoms and in quality of life. Our findings confirm the efficacy of the LIFESTYLE intervention in improving physical and mental health-related outcomes in patients with severe mental illnesses after one year.

Herbal therapies for weight gain and metabolic abnormalities induced by atypical antipsychotics: a review article.

Psychosis is a state of mind that makes it difficult to determine what is real and what is not. Psychosis can have serious negative effects. Like many psychiatric phenomena, psychosis has a variety of causes, such as schizophrenia, bipolar disorder, and psychotic depression. Antipsychotic medications, psychotherapy, and social support are the most common treatments. Antipsychotic drugs reduce the symptoms of psychosis by changing brain chemistry. Based on the mechanism of action, antipsychotics have two groups, typical and atypical. Most people who take antipsychotics experience side effects. People taking typical antipsychotics tend to have higher rates of extrapyramidal side effects, but some atypical drugs, especially olanzapine, are associated with the risk of significant weight gain, diabetes, and metabolic syndrome, which, in turn, increases the risk of atherosclerotic cardiovascular disease and premature death. Physical exercise, diet regimen, psychoeducation, monotherapy, or switching to an alternative antipsychotic are strategies to correct metabolic aberrates in atypical antipsychotic users. In light of several successful studies on the use of medicinal plants to control metabolic syndrome, this article briefly reviews the studies on some herbal medications for the management of metabolic disorders associated with atypical antipsychotics and discusses probable mechanisms. Therefore, we searched the Cochrane, Scopus, PubMed, and Google Scholar databases for works published before July, 2022, on the effect of herbal medications on antipsychotic-related metabolic abnormalities in animals or humans. We recommend that some herbal medicines may be efficient for regulating the metabolic changes related to atypical antipsychotics due to their multipotential action, and more efforts should be made to make herbal drug treatments more effective. We hope this review will be a reference for research on developing herbal therapeutics for metabolic alterations in antipsychotic customers.

Cardiovascular variations in patients with major depressive disorder versus bipolar disorder

BackgroundDifferentiating depression in major depressive disorder and bipolar disorder is challenging in clinical practice. Therefore, reliable biomarkers are urgently needed to differentiate between these diseases. This study's main objective was to assess whether cardiac autonomic function can distinguish patients with unipolar depression (UD), bipolar depression (BD), and bipolar mania (BM). MethodsWe recruited 791 patients with mood disorders, including 191 with UD, 286 with BD, and 314 with BM, who had been drug free for at least 2 weeks. Cardiovascular status was measured using heart rate variability (HRV) and pulse wave velocity (PWV) indicators via finger photoplethysmography during a 5-min rest period. ResultsPatients with BD showed lower HRV but higher heart rates than those with UD and BM. The PWV indicators were lower in the UD group than in the bipolar disorder group. The covariates of age, sex, and body mass index affected the cardiovascular characteristics. After adjusting for covariates, the HRV and PWV variations among the three groups remained significant. Comparisons between the UD and BD groups showed that the variable with the largest effect size was the frequency-domain indices of HRV, very low and high frequency, followed by heart rate. The area under the receiver operating characteristic curve (AUC) for each cardiovascular variable ranged from 0.661 to 0.714. The High-frequency index reached the highest AUC.Limitations.Cross-sectional design and the magnitude of heterogeneity across participants with mood disorders limited our findings. ConclusionPatients with BD, but not BM, had a greater extent of cardiac imbalance than those with UD. Thus, HRV may serve as a psychophysiological biomarker for the differential diagnosis of UD and BD.

The relationship between dysfunctional attitudes, maladaptive perfectionism, metacognition and symptoms of mania and depression in bipolar disorder: The role of self-compassion as a mediating factor

BackgroundMaladaptive cognitions appear to be associated with the severity of mood symptoms in bipolar disorder (BD), but findings are mixed and generally cross-sectional in design. MethodThis study (n = 331) explored the associations between maladaptive cognitions and mood symptoms in BD over time (3 months), and the potential mediating effect of self-compassion cross-sectionally. Dysfunctional attitudes, maladaptive perfectionism and maladaptive metacognitions were explored separately with depressive and manic symptoms, and with current mood state in BD. ResultsThe results showed maladaptive metacognitions to be the only significant predictor of depression at 3-month follow-up (β = 0.31, p < .001), with no relationship to mania over time. Cross-sectionally, self-compassion partially mediated the relationship between all maladaptive cognitions and depression, with higher dysfunctional cognitions and lower self-compassion predicting increased severity of depressive symptoms. Only the relationship between dysfunctional attitudes and mania was partially mediated by self-compassion, however, the relationship was weak and suggestive that higher self-compassion predicted increased mania. LimitationsThe study duration limited the possible analysis. Future longitudinal research is needed. Also, the study sample was not representative of the clinical population, making results less generalisable. Additionally, limited significant findings regarding manic symptoms supports the need for further research into active cognitions during this phase of BD. ConclusionsMaladaptive metacognitions were predictive of future depression severity, therefore, further exploration of metacognitive therapy for BD should be explored. Furthermore, self-compassion was shown to partially mediate the relationship between negative cognitions and mood, therefore further exploration of compassion-based therapies for BD is needed.

Euthymic and depressed bipolar patients are characterized by different RNA editing patterns in blood

Bipolar disorder (BD) is a worldwide leading cause of disability. Inflammation roles in this disease is well established. ADAR1-mediated RNA editing is one of the key mechanisms regulating the inflammatory response. We have identified a panel of RNA editing-based blood biomarkers which allowed to discriminate unipolar from BD depression with high accuracy. We confirmed here the diagnostic value of this panel in a new cohort of BD patients recruited in Brazil. We also identified new combinations which allow a clear discrimination of BD from healthy controls and among BD subgroups, confirming that RNA editing is a key mechanism in BD.

Causal relationships between dietary habits and five major mental disorders: A two-sample Mendelian randomization study

ObjectiveTo explore the causal relationship between dietary habits and five major mental disorders using the two-sample Mendelian randomization (MR) analysis. MethodsThis study was based on the summary data of the genome-wide association study (GWAS) on diet and five major mental disorders in the European population. The genetic locus data of five major mental disorders (mania, bipolar disorder, manic depression, depression, schizophrenia) from those who never eat eggs, dairy, wheat, and sugar were used. Two-sample MR analysis was conducted to evaluate the causal relationship between diet and five major mental disorders. ResultsThis study revealed a causal relationship between “Never eat Wheat products” and all five types of mental disorders (mania, bipolar disorder, manic depression, depression, schizophrenia), demonstrating a significant negative correlation (P < 0.05). However, no significant causal relationship was observed between “Never eat Sugar or foods/drinks containing sugar” and any of the five mental disorders (P > 0.05). Furthermore, the study found that the statement “Never eat eggs, dairy, wheat, sugar: I eat all of the above” had a causal relationship with mania, bipolar disorder, and manic depression, showing a significant positive correlation (P < 0.05). However, this statement did not exhibit a significant causal relationship with depression and schizophrenia (P > 0.05). ConclusionThere was a negative correlation between never eating wheat products and the five mental disorders (mania, bipolar disorder, manic depression, depression, schizophrenia), indicating that never eating wheat products may reduce the risk of mental disorders.

Specificity of affective dynamics of bipolar and major depressive disorder.

Here, we examine whether the dynamics of the four dimensions of the circumplex model of affect assessed by ecological momentary assessment (EMA) differ among those with bipolar disorder (BD) and major depressive disorder (MDD). Participants aged 11-85years (n=362) reported momentary sad, anxious, active, and energetic dimensional states four times per day for 2weeks. Individuals with lifetime mood disorder subtypes of bipolar-I, bipolar-II, and MDD derived from a semistructured clinical interview were compared to each other and to controls without a lifetime history of psychiatric disorders. Random effects from individual means, inertias, innovation (residual) variances, and cross-lags across the four affective dimensions simultaneously were derived from multivariate dynamic structural equation models. All mood disorder subtypes were associated with higher levels of sad and anxious mood and lower energy than controls. Those with bipolar-I had lower average activation, and lower energy that was independent of activation, compared to MDD or controls. However, increases in activation were more likely to perpetuate in those with bipolar-I. Bipolar-II was characterized by higher lability of sad and anxious mood compared to bipolar-I and controls but not MDD. Compared to BD and controls, those with MDD exhibited cross-augmentation of sadness and anxiety, and sadness blunted energy. Bipolar-I is more strongly characterized by activation and energy than sad and anxious mood. This distinction has potential implications for both specificity of intervention targets and differential pathways underlying these dynamic affective systems. Confirmation of the longer term stability and generalizability of these findings in future studies is necessary.

Lithium treatment versus hospitalization in bipolar disorder and major depression patients

BackgroundPreventing hospitalization of major affective disorder patients is a fundamental clinical challenge for which lithium is expected to be helpful. MethodsWe compared hospitalization rates and morbidity of 260 patients with DSM-5 bipolar or major depressive disorder in the 12 months before starting lithium versus 12 months of its use. We evaluated duration of untreated illness, previous treatments, substance abuse, suicidal status, lithium dose, and use of other medicines for association with new episodes of illness or of symptomatic worsening as well as hospitalization, using bivariate and multivariate analyses. ResultsWithin 12 months before lithium, 40.4 % of patients were hospitalized versus 11.2 % during lithium treatment; other measures of morbidity also improved. Benefits were similar with bipolar and major depressive disorders. Independently associated with hospitalization during lithium treatment were: receiving an antipsychotic with lithium, suicide attempt during lithium treatment, lifetime substance abuse, and psychiatric hospitalization in the year before starting lithium, but not diagnosis. LimitationsParticipants and observation times were limited. The study was retrospective regarding clinical history, lacked strict control of treatments and was not blinded. ConclusionsThis naturalistic study adds support to the effectiveness of lithium treatment in preventing hospitalization in patients with episodic major mood disorders.

People with mental illness stigmatize mental illness less: A comparison study between a hospital-based sample of people with mental illness and a non-clinical general population sample in urban India.

Evidence shows that stigma negatively influences the quality of life of persons with severe mental illness. Nonetheless, stigma towards mental illness is lower among persons with a lived experience of mental illness compared to the rest of the population. Understanding the association between stigma of mental illness and the mental status of individuals living in urban India and whether this association is moderated by demographic factors opens a new avenue for prevention of social exclusion. Persons diagnosed with schizophrenia, bipolar disorder, or severe unipolar depression (cases, n = 647) were recruited from among hospital patients in New Delhi between November 2011 and June 2012 and matched with non-psychiatric urban dwellers by age, sex, and location of residence (controls, n = 649). Propensity score matching with multivariable linear regression was used to test whether stigma towards mental illness, measured by a 13-item Stigma Questionnaire, differed between cases and controls. Cases reported significantly lower stigma scores than controls (b = -0.50, p < 0.0001). The strength of the association between mental illness and stigma was not affected after controlling for age, caste, sex, education, and employment status, while wealth marginally reduced the strength of the association. These findings suggest individuals with a lived experience of mental illness, in New Delhi, India, may be more tolerant towards mental illness and support the need to involve persons with lived experience in the development and implementation of health promotional campaigns and programs aimed at reducing stigma towards mental illness.

The impact of body mass index on the clinical features of bipolar disorder: A STEP-BD study.

The effects of body mass index (BMI) on the core symptoms of bipolar disorder (BD) and its implications for disease trajectory are largely unexplored. To examine whether BMI impacted hospitalization rate, medical and psychiatric comorbidities, and core symptom domains such as depression and suicidality in BD. Participants (15 years and older) were 2790 BD outpatients enrolled in the longitudinal STEP-BD study; all met DSM-IV criteria for BD-I, BD-II, cyclothymia, BD NOS, or schizoaffective disorder, bipolar subtype. BMI, demographic information, psychiatric and medical comorbidities, and other clinical variables such as bipolarity index, history of electroconvulsive therapy (ECT), and history of suicide attempts were collected at baseline. Longitudinal changes in Montgomery-Åsberg Depression Rating Scale (MADRS) score, Young Mania Rating Scale (YMRS) score, and hospitalizations during the study were also assessed. Depending on the variable of interest, odds-ratios, regression analyses, factor analyses, and graph analyses were applied. A robust increase in psychiatric and medical comorbidities was observed, particularly for baseline BMIs >35. A significant relationship was noted between higher BMI and history of suicide attempts, and individuals with BMIs >40 had the highest prevalence of suicide attempts. Obese and overweight individuals had a higher bipolarity index (a questionnaire measuring disease severity) and were more likely to have received ECT. Higher BMIs correlated with worsening trajectory of core depression symptoms and with worsening lassitude and inability to feel. In BD participants, elevated BMI was associated with worsening clinical features, including higher rates of suicidality, comorbidities, and core depression symptoms.

Predictive Value of qEEG in Manic Switch of Depressed Patients.

Backgrounds: More than half of the patients with bipolar disorder (BD) had depressive episodes at the onset of BD. Despite some suggested clinical predictors, there are no certain criteria for predicting which unipolar depression patient switch to manic episodes during the treatment course. Electrophysiological markers can address this issue. Methods: Pretreatment quantitative electroencephalography (qEEG) records of patients diagnosed with major depressive disorder (MDD) or BD at the first visit were included in the study. Patients with MDD were also grouped with manic switch (MS) or MDD based on the diagnosis of later visits. The qEEG spectral power was analyzed across 3 groups, that is, MS, MDD, and BD. Results: Compared to patients whose diagnosis did not change, patients with MS had accelerated high-frequency activities predominantly in the left hemisphere (central-parietal-occipital regions). In contrast, they showed increased slow wave activity predominantly in the right hemisphere (parietal-occipital regions). Conclusion: It can be concluded that searching for electrophysiological markers, which have distinct advantages of repeatability, noninvasiveness, and cost-effectiveness, can facilitate the prediction of the MS.

Omega-3 index as risk factor in psychiatric diseases: a narrative review.

Numerous studies have described associations between the omega-3 index (defined as the RBC percentage of EPA and DHA) and mental conditions, but no risk stratification or target value has gathered consensus so far. This narrative review aims to summarize the published data on the association between omega-3 index and mental illness and to contribute to the concept of an omega-3 index in the field of mental health. The bibliographic searches have been carried out in PubMed, Scopus and Web of Science databases to find relevant English language original research studies related to that association. The study search and selection process were registered in a PRISMA flow. Thirty-six studies were included in this review examining the links between omega-3 index and postpartum depression (3), major depression (15), major depression and bipolar disorder (1), bipolar disorder (4), schizophrenia and major depression (1), schizophrenia and other psychosis (5) and dementia (7). Thirty of these studies found either significant differences in omega-3 index between patients and controls or inverse relationships between omega-3 index and disease severity. The published evidence is compelling enough to suggest omega-3 index as a risk factor for some psychiatric diseases, specifically, major depression, postpartum depression, psychosis, and dementia. In occidental populations, we propose a risk threshold of (a) 4-5% in major depression and dementia, (b) 5% in postpartum depression, and (c) 4% for psychosis transition.

Circadian Activity Rhythms and Psychopathology in Major Depressive Episodes

Background: Identifying suicidal risk based on clinical assessment is challenging. Suicidal ideation fluctuates, can be downplayed or denied, and seems stigmatizing if divulged. In contrast, vitality is foundational to subjectivity in being immediately conscious before reflection. Including its assessment may improve detection of suicidal risk compared to relying on suicidal ideation alone. We hypothesized that objective motility measures would be associated with vitality and enhance assessment of suicidal risk. Methods: We evaluated 83 adult-psychiatric outpatients with a DSM-5 bipolar (BD) or major depressive disorder (MDD): BD-I (n = 48), BD-II (20), and MDD (15) during a major depressive episode. They were actigraphically monitored continuously over 3 weekdays and self-rated their subjective states at regular intervals. We applied cosinor analysis to actigraphic data and analyzed associations of subjective psychopathology measures with circadian activity parameters. Results: Actigraphic circadian mesor, amplitude, day- and nighttime activity were lower with BD versus MDD. Self-rated vitality (wish-to-live) was significantly lower, self-rated suicidality (wish-to-die) was higher, and their difference was lower, with BD versus MDD. There were no other significant diagnostic differences in actigraphic sleep parameters or in self-rated depression, dysphoria, or anxiety. By linear regression, the difference between vitality and passive suicidal ideation was strongly positively correlated with mesor (p < 0.0001), daytime activity (p < 0.0001), and amplitude (p = 0.001). Conclusions: Higher circadian activity measures reflected enhanced levels of subjective vitality and were associated with lesser suicidal ideation. Current suicidal-risk assessment might usefully include monitoring of motility and vitality in addition to examining negative affects and suicidal thinking.

Circulating T-cell subsets discrepancy between bipolar disorderand major depressive disorder during mood episodes: A naturalistic, retrospective study of 1015 cases.

We aimed to investigate whether peripheral T-cell subsets could be a biomarker to distinguish major depressive disorder (MDD) and bipolar disorder (BD). Medical records of hospitalized patients in the Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, from January 2015 to September 2020 with a discharge diagnosis of MDD or BD were reviewed. Patients who underwent peripheral blood examination of T-cell subtype proportions, including CD3+, CD4+, CD8+ T-cell, and natural killer (NK) cells, were enrolled. The Chi-square test, t-test, or one-way analysis of variance were used to analyze group differences. Demographic profiles and T-cell data were used to construct a random forest classifier-based diagnostic model. Totally, 98 cases of BD mania, 459 cases of BD depression (BD-D), and 458 cases of MDD were included. There were significant differences in the proportions of CD3+, CD4+, CD8+ T-cell, and NK cells among the three groups. Compared with MDD, the BD-D group showed higher CD8+ but lower CD4+ T-cell and a significantly lower ratio of CD4+ and CD8+ proportions. The random forest model achieved an area under the curve of 0.77 (95% confidence interval: 0.71-0.83) to distinguish BD-D from MDD patients. These findings imply that BD and MDD patients may harbor different T-cell inflammatory patterns, which could be a potential diagnostic biomarker for mood disorders.

Individual placement and support: History, current status, and future directions.

Over the past three decades, Individual Placement and Support (IPS) has emerged as a robust evidence-based approach to helping people with severe mental illnesses, such as schizophrenia, bipolar disorder, and major depression, to obtain and succeed in competitive employment. This review addresses the history, principles, research, and future directions of IPS. It covers current evidence on employment outcomes, cost-effectiveness, and nonvocational outcomes. It also describes current attempts to extend IPS to new populations. The authors provide an overview of numerous systematic reviews and meta-analyses of randomized controlled trials involving people with serious mental illness. For studies addressing nonvocational outcomes and new populations, the review uses best available evidence. Published reviews agree that IPS enables patients with serious mental illness in high-income countries to succeed in competitive employment at a higher rate than patients who receive other vocational interventions. Within IPS programs, quality of implementation, measured by standardized fidelity scales, correlates with better outcomes. Employment itself leads to enhanced income, psychosocial outcomes, clinical improvements, and decreased mental health service use. As IPS steadily spreads to new populations and new settings, research is active across high-income countries and spreading slowly to middle-income countries. IPS is an evidence-based practice for people with serious mental illness in high-income countries. It shows promise to help other disability groups also, and emerging research aims to clarify adaptations and outcomes.

Endocan: A novel biomarker of endothelial dysfunction in depression?

Endocan is a proteoglycan secreted from endothelium upon endothelial damage. Since depression is associated with higher inflammation and oxidative stress to the vascular endothelium, endothelial dysfunction is prevalent and it is one of the responsible mechanisms for increased cardiovascular morbidity and mortality in depressive disorders. This study aimed to investigate endocan levels in patients with depression (either bipolar or unipolar) and healthy controls to evaluate the projected endothelial injury. We included nonsmoker patients without comorbid inflammatory conditions: 31 with Bipolar Disorder Depression (BDD), 30 with Major Depressive Disorder (MDD) and 25 healthy controls (HC). The severity of depression was assessed with the Hamilton Depression Rating Scale (HDRS). Ultimately, serum endocan levels were significantly higher in patients with BDD than in patients with MDD (p < .000) and HCs (p < .000). Also, patients with MDD had significantly higher endocan levels than HCs (p < .000). The AUC value for the endocan to differentiate patients with depression from controls was 0.990 (95% CI: 0.971–1.000; p < .001) with sensitivity and specificity of 98.4 and 100%, respectively, and an optimal cut-off value of 316.92 ng/L. Serum endocan levels showed a mild positive correlation with HDRS scores (r = 0.372, p = .039) in the BDD group but not in the MDD group (r = −0.242, p = .20). Patients with BDD had higher endocan levels than MDD; this finding, while preliminary, could be an implication of higher endothelial dysfunction in BDD.

Receipt of Electroconvulsive Therapy in Outpatient Settings in a National Sample of Privately Insured Patients With Mood Disorders.

Electroconvulsive therapy (ECT), an effective treatment for bipolar and major depressive disorder, is underused. Little information is available on use of ECT in potentially less costly outpatient settings, possibly reducing cost barriers. Insurance claims from the 2008 to 2017 MarketScan Commercial Database for patients diagnosed with mood disorders were used to compare 4 groups of ECT users in each year: those receiving (1) exclusively outpatient ECT, (2) first inpatient and subsequently outpatient, (3) outpatient and subsequently inpatient, and (4) exclusively inpatient ECT. Groups were compared on the proportion receiving ECT in each group over time as well as on the total numbers of treatments received along with group differences in sociodemographic and diagnostic characteristics and health care costs. Among 2.9 million patients diagnosed with mood disorders, the proportion who received ECT (n = 8859) was small (0.30%) and declined over the decade to 0.17%. Among those who received ECT, most did so exclusively as outpatients (52.3%), the group with fewest comorbidities and lowest costs. This proportion increased by 19.7% over the decade, whereas the proportion receiving ECT exclusively in an inpatient setting (12.1%) fell by 30.6%. The total number of treatments per patient averaged 11.7 per year and increased by 28.0% over the decade, with outpatients decreasing to slightly less than average. Health care costs were greatest for those who started ECT as inpatients. Although the proportion of privately insured patients receiving ECT in outpatient settings has increased, reducing cost barriers, the use of ECT continued to be extremely limited and declining.

Systematic Review and Meta-Analysis: Risks of Anxiety Disorders in Offspring of Parents With Mood Disorders

To examine the risk of anxiety disorders in offspring of parents with mood disorders. We conducted a systematic review and meta-analysis. We searched 4 electronic databases (Medline, Embase, PsycINFO, and Web of Science [core collection]) to identify cross-sectional and cohort studies that examined the association between parental mood disorders (including bipolar disorder and unipolar depression) and risk of anxiety disorders in offspring. Pooled risk ratios (RRs) of overall and specific anxiety disorders were synthesized using a random effects model. Subgroup analyses and meta-regression were performed to identify moderation factors. A total of 35 studies were included in the final analysis. Our results showed higher risks of all types of anxiety disorders in the offspring of parents with mood disorders (any anxiety disorder, RR= 1.82, 95% CI= 1.47-2.26), except for agoraphobia (RR= 1.08, 95% CI= 0.56-2.08), and with an especially elevated risk of panic disorder (RR= 3.07, 95% CI= 2.19-4.32). Subgroup analysis demonstrated no significant difference between the risks of anxiety disorders across the offspring of parents with bipolar disorder as opposed to unipolar depression. The absence of anxiety disorders in control parents, younger offspring age, and specific parent/offspring sex were associated with higher RRs for some anxiety disorders in offspring of parents with mood disorders. Our findings suggest a robust relationship between parental mood disorders and offspring anxiety disorders, and highlight the potential value of prevention and early intervention for anxiety disorders in this context. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. Anxiety Disorders in Offspring of Parents with Mood Disorders: A Systematic Review; https://www.crd.york.ac.uk/prospero/; CRD42021215058.

Borderline personality disorder and depression severity predict suicidal outcomes: A six-month prospective cohort study of depression, bipolar depression, and borderline personality disorder.

Suicide risk is high in patients with major depressive disorder (MDD), bipolar disorder (BD) and borderline personality disorder (BPD). Whether risk levels of and risk factors for suicidal ideation (SI) and suicide attempts (SA) are similar or different in these disorders remains unclear, as few directly comparative studies exist. The relationship of short-term changes in depression severity and SI is underinvestigated, and might differ across groups, for example, between BPD and non-BPD patients. We followed, for 6 months, a cohort of treatment-seeking, major depressive episode (MDE) patients in psychiatric care (original n = 124), stratified into MDE/MDD, MDE/BD and MDE/BPD subcohorts. We examined risks of suicide-related outcomes and their risk factors prospectively. We examined the covariation of SI and depression over time with biweekly online modified Patient Health Questionnaire 9 surveys and analysed this relationship through multi-level modelling. Risk of SA in BPD (22.2%) was higher than non-BPD (4.23%) patients. In regression models, BPD severity was correlated with risk of SA and clinically significant SI. During follow-up, mean depression severity and changes in depression symptoms were associated with SI risk regardless of diagnosis. Concurrent BPD in depression seems predictive for high risk of SA. Severity of BPD features is relevant for assessing risk of SA and SI in MDE. Changes in depressive symptoms indicate concurrent changes in risk of SI. BPD status at intake can index risk for future SA, whereas depressive symptoms appear a useful continuously monitored risk index.

Subcortical Brain Alterations in Carriers of Genomic Copy Number Variants.

Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs. Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression. All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia. The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.