The association of momentary sad moods, concurrent productive behaviour, and global functional outcomes: a 30-day ecological momentary assessment study of people with bipolar illness.

BACKGROUND: Previous weekly sampling studies found that persistent sad moods are associated with disability in bipolar illness. However, those data were collected retrospectively. We examined the momentary quality of activities (productive, unproductive, and passive recreation) in an ecological momentary assessment (EMA) study and related sadness at each survey to quality of momentary activities and overall everyday functioning. METHODS: Participants with bipolar illness (N = 91) were sampled three times per day for 30 days. Each survey queried participants as to where they were, with whom, what they were doing, and their mood state. Activities were characterised according to predetermined criteria and related to momentary sadness. Observer ratings of everyday functioning were related to daily reports of sadness and activities. RESULTS: Sadness was associated with the quality of activities. Momentary reports of unproductive activities were associated with the most sadness (p < .001), followed by passive recreation, and productive activities. Momentary sadness and momentary unproductive activities correlated with observer ratings of competence in work, everyday activities, and social outcomes (p < .001). Using both predictors led to the best model. CONCLUSIONS: This study on the course of sad moods in people with bipolar illness to EMA found that momentary sadness correlatesdwith the quality of concurrent activities and that both sadness and the quality of everyday activities predicted observer ratings of everyday functioning. Although we cannot determine the causal direction, these findings support the hypothesis that momentary sadness leads to reductions in productive activities and impairments in everyday functioning.

Polypharmacy as maintenance treatment in bipolar illness: A systematic review.

OBJECTIVES: Polypharmacy is common in maintenance treatment of bipolar illness, but proof of greater efficacy compared to monotherapy is assumed rather than well known. We systematically reviewed the evidence from the literature to provide recommendations for clinical management and future research. METHOD: A systematic review was conducted on the use of polypharmacy in bipolar prophylaxis. Relevant papers published in English through 31 December 2019 were identified searching the electronic databases MEDLINE, Embase, PsycINFO, and the Cochrane Library. RESULTS: Twelve studies matched inclusion criteria, including 10 randomized controlled trials (RCTs). The best drug combination in prevention is represented by lithium + valproic acid which showed a significant effect on time to mood relapses (HR = 0.57) compared to valproic acid monotherapy, especially for manic episodes (HR = 0.51). The effect was significant in terms of time to new drug treatment (HR = 0.51) and time to hospitalization (HR = 0.57). A significant reduction in the frequency of mood relapses was also reported for lithium + valproic acid vs. lithium monotherapy (RR=0.12); however, the trial had a small sample size. Lamotrigine + valproic acid reported significant efficacy in prevention of depressive episodes compared to lamotrigine alone. CONCLUSIONS: The literature to support a generally greater efficacy with polypharmacy in bipolar illness is scant and heterogeneous. Within that limited evidence base, the best drug combination in bipolar prevention is represented by lithium + valproic acid for manic, but not depressive episodes. Clinical practice should focus more on adequate monotherapy before considering polypharmacy.

When and how to use lithium.

BACKGROUND: Lithium is an old proven medication, but it is infrequently used in current practice. This review examines evidence for its benefits and risks and provides clinical guidance to its use. METHOD: Narrative review. RESULTS: Besides its benefit in bipolar illness, lithium has important underappreciated proven benefits in prevention of unipolar depression and suicide. Emerging data support neurobiological benefits for cognition and possible dementia prevention. Likely benefits also exist in low doses for mood temperaments (cyclothymia and hyperthymia). High doses (over 1.0 mmol/L) should be avoided since they increase side effects, complications associated with long-term use, and risk of toxicity. Conversely, low dosing can be legitimate, especially for suicide and dementia prevention. Nuisance side effects of lithium may affect adherence, and medically serious side-effects can occur. Managing strategies are available for side effects. CONCLUSION: Lithium is the most effective medication in psychiatry, because it has disease-modifying, not just symptomatic, effects. It is effective not only for bipolar illness but also for prevention of suicide, episodes of unipolar depression, mood temperaments, and possibly dementia. Its many benefits need better appreciation, while lowered dosing can reduce risks.

The International Mood Network (IMN) Nosology Project: differentiating borderline personality from bipolar illness.

OBJECTIVE: The differential diagnosis of bipolar illness vs. borderline personality is controversial. Both conditions manifest impulsive behavior, unstable interpersonal relationships, and mood symptoms. This study examines whether and which mood clinical features can differentiate between both conditions. METHOD: A total of 260 patients (mean ± standard deviation age 41 ± 13 years, 68% female) attending to a mood clinic were examined for diagnosis of bipolar illness and borderline personality disorder using SCID-I, SCID-II, and clinical mood criteria extracted from Mood Disorder Questionnaire (MDQ). They were analyzed using diagnoses as dependent variables. Predictors of bipolar and borderline diagnoses were identified by multivariable logistic regressions, and predictive validity of models was assessed using ROC curve analysis. RESULTS: Bipolar illness was strongly predicted by elevated mood (OR = 4.02, 95% CI: 1.80-9.15), increased goal-directed activities (OR = 3.90, 95% CI: 1.73-8.96), and episodicity of mood symptoms (OR = 3.48, 95% CI 1.49-8.39). This triad model predicted bipolar illness with 88.7% sensitivity, 81.4% specificity, and obtained an auROC of 0.91 (95% CI: 0.76-0.96) and a positive predictive value of 85.1%. For borderline personality disorder, only female gender was a statistically significant predictor (OR = 3.41, 95% CI: 1.29-13.7), and the predictive model obtained an auROC of 0.67 (95% CI: 0.53-0.74). CONCLUSION: In a mood disorder clinic setting, manic criteria and episodic mood course distinguished bipolar illness from borderline personality disorder.

Abnormal gene expression of proinflammatory cytokines and their receptors in the lymphocytes of patients with bipolar disorder.

OBJECTIVES: Abnormalities of protein levels of proinflammatory cytokines and their soluble receptors have been reported in plasma of patients with bipolar disorder (BP). In this study, we tested the hypothesis that the mRNA expression of membrane-bound receptors for proinflammatory cytokines will be altered in the lymphocytes of patients with BP. METHODS: We determined protein and mRNA expression of proinflammatory cytokines, and mRNA expression of their receptors in the lymphocytes from 29 drug-free, hospitalized patients with BP and 30 drug-free normal control subjects. The subjects were diagnosed according to DSM-IV criteria. Plasma protein levels of cytokines were determined by enzyme-linked immunosorbent assay (ELISA); mRNA levels in lymphocytes were determined by the quantitative polymerase chain reaction (qPCR) method. RESULTS: We found that mean mRNA levels of the proinflammatory cytokines interleukin (IL)-1ß, IL-6 and tumor necrosis factor (TNF)-α, and their receptors TNFR1, IL-1R1, and the antagonist IL-1RA were significantly higher in the lymphocytes of patients with BP compared with normal controls. CONCLUSIONS: This study suggests that the observed abnormalities of membrane-bound cytokine receptors may alter the functional response of cytokines in BP and that the mRNA levels of these receptors could be a potential biomarker.

Region-specific dysregulation of glycogen synthase kinase-3ß and ß-catenin in the postmortem brains of subjects with bipolar disorder and schizophrenia.

OBJECTIVES: There is both direct and indirect evidence suggesting abnormalities of glycogen synthase kinase (GSK)-3ß and ß-catenin, two important components of the Wingless-type (Wnt) signaling pathway, in the pathophysiology of bipolar illness and possibly schizophrenia (SZ). In order to further clarify the role of the Wnt signaling pathway in the pathophysiology of bipolar disorder (BP) and SZ, we studied GSK-3ß and ß-catenin in the postmortem brains of subjects with these disorders. METHODS: We determined the protein expression of GSK-3ß, phosphorylated form at serine 9 position (pGSK-3-ser-9), and ß-catenin using the western blot technique, and mRNA using the quantitative polymerase chain reaction (qPCR) method, in the dorsolateral prefrontal cortex (DLPFC), cingulate gyrus (CG), and temporal cortex (TEMP) obtained from 19 subjects with BP, 20 subjects with SZ, and 20 normal control (NC) subjects. RESULTS: We found that the protein expression of GSK-3ß, pGSK-3ß-ser-9, and ß-catenin was significantly decreased in the DLPFC and TEMP, but not in the CG, of subjects with BP compared with NC subjects. The mRNA expression of GSK-3ß and ß-catenin was significantly decreased in the DLPFC and TEMP, but not in the CG, of subjects with BP compared with NC subjects. There were no significant differences in the protein or mRNA expression of GSK-3ß, pGSK-3ß-ser-9, or ß-catenin between subjects with SZ and NC subjects in any of the brain areas studied. CONCLUSIONS: These studies show region-specific abnormalities of both protein and mRNA expression of GSK-3ß and ß-catenin in postmortem brains of subjects with BP but not subjects with SZ. Thus, abnormalities of the Wnt signaling pathway may be associated with the pathophysiology of bipolar illness.

Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness.

Schizophrenia is a devastating neuropsychiatric syndrome associated with distributed brain dysconnectivity that may involve large-scale thalamo-cortical systems. Incomplete characterization of thalamic connectivity in schizophrenia limits our understanding of its relationship to symptoms and to diagnoses with shared clinical presentation, such as bipolar illness, which may exist on a spectrum. Using resting-state functional magnetic resonance imaging, we characterized thalamic connectivity in 90 schizophrenia patients versus 90 matched controls via: (1) Subject-specific anatomically defined thalamic seeds; (2) anatomical and data-driven clustering to assay within-thalamus dysconnectivity; and (3) machine learning to classify diagnostic membership via thalamic connectivity for schizophrenia and for 47 bipolar patients and 47 matched controls. Schizophrenia analyses revealed functionally related disturbances: Thalamic over-connectivity with bilateral sensory-motor cortices, which predicted symptoms, but thalamic under-connectivity with prefrontal-striatal-cerebellar regions relative to controls, possibly reflective of sensory gating and top-down control disturbances. Clustering revealed that this dysconnectivity was prominent for thalamic nuclei densely connected with the prefrontal cortex. Classification and cross-diagnostic results suggest that thalamic dysconnectivity may be a neural marker for disturbances across diagnoses. Present findings, using one of the largest schizophrenia and bipolar neuroimaging samples to date, inform basic understanding of large-scale thalamo-cortical systems and provide vital clues about the complex nature of its disturbances in severe mental illness.

Pharmacogenomics in psychiatry: the relevance of receptor and transporter polymorphisms.

The treatment of severe mental illness, and of psychiatric disorders in general, is limited in its efficacy and tolerability. There appear to be substantial interindividual differences in response to psychiatric drug treatments that are generally far greater than the differences between individual drugs; likewise, the occurrence of adverse effects also varies profoundly between individuals. These differences are thought to reflect, at least in part, genetic variability. The action of psychiatric drugs primarily involves effects on synaptic neurotransmission; the genes for neurotransmitter receptors and transporters have provided strong candidates in pharmacogenetic research in psychiatry. This paper reviews some aspects of the pharmacogenetics of neurotransmitter receptors and transporters in the treatment of psychiatric disorders. A focus on serotonin, catecholamines and amino acid transmitter systems reflects the direction of research efforts, while relevant results from some genome-wide association studies are also presented. There are many inconsistencies, particularly between candidate gene and genome-wide association studies. However, some consistency is seen in candidate gene studies supporting established pharmacological mechanisms of antipsychotic and antidepressant response with associations of functional genetic polymorphisms in, respectively, the dopamine D2 receptor and serotonin transporter and receptors. More recently identified effects of genes related to amino acid neurotransmission on the outcome of treatment of schizophrenia, bipolar illness or depression reflect the growing understanding of the roles of glutamate and γ-aminobutyric acid dysfunction in severe mental illness. A complete understanding of psychiatric pharmacogenomics will also need to take into account epigenetic factors, such as DNA methylation, that influence individual responses to drugs.

Analysis of genetic diversity in patients with major psychiatric disorders versus healthy controls: A molecular-genetic study of 1698 subjects genotyped for 100 candidate genes (549 SNPs).

BACKGROUND: This study analyzed the extent to which irregularities in genetic diversity separate psychiatric patients from healthy controls. METHODS: Genetic diversity was quantified through multidimensional "gene vectors" assembled from 4 to 8 polymorphic SNPs located within each of 100 candidate genes. The number of different genotypic patterns observed per gene was called the gene's "diversity index". RESULTS: The diversity indices were found to be only weakly correlated with their constituent number of SNPs (20.5 % explained variance), thus suggesting that genetic diversity is an intrinsic gene property that has evolved over the course of evolution. Significant deviations from "normal" diversity values were found for (1) major depression; (2) Alzheimer's disease; and (3) schizoaffective disorders. Almost one third of the genes were correlated with each other, with correlations ranging from 0.0303 to 0.7245. The central finding of this study was the discovery of "singular genes" characterized by distinctive genotypic patterns that appeared exclusively in patients but not in healthy controls. Neural Nets yielded nonlinear classifiers that correctly identified up to 90 % of patients. Overlaps between diagnostic subgroups on the genotype level suggested that (1) diagnoses-crossing vulnerabilities are likely involved in the pathogenesis of major psychiatric disorders; (2) clinically defined diagnoses may not constitute etiological entities. CONCLUSION: Detailed analyses of the variation of genotypic patterns in genes along with the correlation between genes lead to nonlinear classifiers that enable very robust separation between psychiatric patients and healthy controls on the genotype level.

Ketogenic Diet Intervention on Metabolic and Psychiatric Health in Bipolar and Schizophrenia: A Pilot Trial.

The ketogenic diet (KD, also known as metabolic therapy) has been successful in the treatment of obesity, type 2 diabetes, and epilepsy. More recently, this treatment has shown promise in the treatment of psychiatric illness. We conducted a 4-month pilot study to investigate the effects of a KD on individuals with schizophrenia or bipolar disorder with existing metabolic abnormalities. Twenty-three participants were enrolled in a single-arm trial. Results showcased improvements in metabolic health, with no participants meeting metabolic syndrome criteria by study conclusion. Adherent individuals experienced significant reduction in weight (12 %), BMI (12 %), waist circumference (13 %), and visceral adipose tissue (36 %). Observed biomarker enhancements in this population include a 27 % decrease in HOMA-IR, and a 25 % drop in triglyceride levels. In psychiatric measurements, participants with schizophrenia showed a 32 % reduction in Brief Psychiatric Rating Scale scores. Overall Clinical Global Impression (CGI) severity improved by an average of 31 %, and the proportion of participants that started with elevated symptomatology improved at least 1-point on CGI (79 %). Psychiatric outcomes across the cohort encompassed increased life satisfaction (17 %) and enhanced sleep quality (19 %). This pilot trial underscores the potential advantages of adjunctive ketogenic dietary treatment in individuals grappling with serious mental illness.

A meta-analytic investigation of cognitive remediation for mood disorders: Efficacy and the role of study quality, sample and treatment factors.

BACKGROUND: The number of randomized, controlled studies of cognitive remediation (CR) for mood disorders (major depressive disorder [MDD] and bipolar illness [BD]), has grown substantially over the past 10 years. The role of study quality, participant characteristics, and intervention features in CR treatment effects remains largely unknown. METHODS: Electronic databases were searched up to February 2022 using variants of the key words: "cognitive remediation", "clinical trials", "major depressive disorder" and "bipolar disorder". This search produced 22 unique randomized, controlled trials that met all inclusion criteria for the study. Data were extracted by 3 authors with strong reliability (>90 %). Primary cognitive, and secondary symptom and functional outcomes were assessed with random effects models. RESULTS: The meta-analysis (993 participants) revealed that CR produced significant small-to-moderate size effects in attention, verbal learning and memory, working memory and executive function (Hedge's g = 0.29-0.45). CR produced a small-moderate effect on one secondary outcome: depressive symptoms (g = 0.33). CR programs that used an individualized approach produced larger effects on executive function. Samples with lower baseline IQ were more likely to benefit from CR on measures of working memory. Sample age, education, gender, or baseline depressive symptomatology did not serve as barriers to treatment gains, and observed effects were not epiphenomena of poorer design quality. LIMITATIONS: The number of RCTs remains low. CONCLUSIONS: CR produces small to moderate improvements in cognition and depressive symptoms in mood disorders. Future research should study how CR might be optimized to help generalize CR-related cognitive and symptom improvements to function.

Lurasidone for Treating Schizophrenia and Bipolar Depression: A Review of Its Efficacy.

Lurasidone is an antipsychotic medication that blocks dopamine D2 and serotonin 5-hydroxy-tryptamine (5-HT)2A receptors and affects other serotoninergic and noradrenergic receptors. It has rapid absorption and linear pharmacokinetics. The rates of metabolic syndrome for patients taking lurasidone are comparable to placebo groups. Lurasidone is a safe and effective treatment for patients with acute schizophrenia and bipolar depression. It has been found to improve the brief psychiatric rating scale and other secondary measures in schizophrenic patients and reduce depressive symptoms in bipolar I depression. The once-daily administration of lurasidone is generally well-tolerated and does not cause clinically significant differences in extrapyramidal symptoms, adverse effects, or weight gain compared to a placebo. However, lurasidone's effectiveness in combination with lithium or valproate has been mixed. Further research is needed to determine optimal dosing, treatment duration, and combination with other mood stabilizers. Long-term safety and effectiveness and its use in different subpopulations should also be evaluated.

Impact of comorbid obsessive-compulsive disorder on suicidality in patients with bipolar disorder.

This study evaluated the impact of comorbid OCD on suicide attempt risk and suicide methods in 990 patients with main diagnosis of BD. Two hundred and one patients (20.3%) had lifetime comorbid OCD. No significant differences were found comparing rates of lifetime suicide attempts between patients with or without comorbid OCD (30.3% vs 24.6%). In the subgroup of patients with concomitant OCD more subjects performed suicide attempts with violent methods (48.3% vs 28.7%). Therefore, our results suggest a correlation between comorbid OCD and violent suicide attempts. This finding is worthy of interest and deserves to be explored by further studies.

A Swedish National Prospective and Co-relative Study of School Achievement at Age 16, and Risk for Schizophrenia, Other Nonaffective Psychosis, and Bipolar Illness.

While cognitive ability is inversely associated with risk for schizophrenia (SZ), the association is less clear with other nonaffective psychoses (ONAP) and bipolar illness (BPI). Using national Swedish hospital registry data, we examined the prospective relationship between school achievement (SA) and development of SZ, ONAP, and BPI in 1800643 adolescents born 1972-1990. We used Cox proportional hazard and co-relative control models to predict onset of SZ, ONAP, and BPI from standardized SA scores at age 16. The hazard ratio (HRs; and 95% CIs) for first onset of SZ as a function of SA was 0.66 (0.64-0.68) for both sexes. For ONAP, the HRs equaled 0.66 (0.64-0.68) for males and 0.72 (0.70-0.75) for females. For BPI, parallel HRs were 0.81 (0.78-0.84) and 0.71 (0.70-0.73). The association between SA and risk was stronger in the lower vs the higher ranges of SA. In most analyses, moderate increases in risk were observed at the highest levels of SA, with the strongest evidence for females and risk of ONAP. Co-relative control analyses indicated that common genetic or familial-environmental effects only marginally confounded these associations. Consistent with prior studies, these results have 3 major implications for neurodevelopmental models: (1) adolescent cognitive deficits that increase risk are not the result of prodromal changes,( 2) individual specific environmental exposures are largely responsible for the association between low SA and psychosis risk, and (3) neurodevelopmental disturbances (as indicated by low SA) are not unique to SZ but also occur in ONAP and to a lesser degree BPI.

Mismatch negativity indexes illness-specific impairments of cortical plasticity in schizophrenia: a comparison with bipolar disorder and Alzheimer's disease.

Cognitive impairment is an important predictor of functional outcome in patients with schizophrenia, yet its neurobiology is still incompletely understood. Neuropathological evidence of impaired synaptic connectivity and NMDA receptor-dependent transmission in superior temporal cortex motivated us to explore the correlation of in vivo mismatch negativity (MMN) with cognitive status in patients with schizophrenia. MMN elicited in a roving stimulus paradigm displayed a response proportional to the number of stimulus repetitions (memory trace effect). Preliminary evidence in patients with chronic schizophrenia suggests that attenuation of this MMN memory trace effect was correlated with the degree of neuropsychological memory dysfunction. Here we present data from a larger confirmatory study in patients with schizophrenia, bipolar disorder, probable Alzheimer's disease and healthy controls. We observed that the diminution of the MMN memory trace effect and its correlation with memory impairment was only found in the schizophrenia group. Recent pharmacological studies using the roving paradigm suggest that attenuation of the MMN trace effect can be understood as abnormal modulation of NMDA receptor-dependent plasticity. We suggest that the convergence of the previously identified synaptic pathology in supragranular cortical layers with the intracortical locus of MMN generation accounts for the remarkable robustness of MMN impairments in schizophrenia. We further speculate that this layer-specific synaptic pathology identified in supragranular neurons plays a pivotal computational role, by weakening the encoding and propagation of prediction errors to higher cortical modules. According to predictive coding theory such breakdown will have grave implications not only for perception, but also for higher-order cognition and may thus account for the MMN-cognition correlations observed here. Finally, MMN is a sensitive and specific biomarker for detecting the early prodromal phase of schizophrenia and is well suited for the exploration of novel cognition-enhancing agents in humans.

Ventral anterior cingulate connectivity distinguished nonpsychotic bipolar illness from psychotic bipolar disorder and schizophrenia.

Bipolar illness is a debilitating neuropsychiatric disorder associated with alterations in the ventral anterior cingulate cortex (vACC), a brain region thought to regulate emotional behavior. Although recent data-driven functional connectivity studies provide evidence consistent with this possibility, the role of vACC in bipolar illness and its pattern of whole brain connectivity remain unknown. Furthermore, no study has established whether vACC exhibits differential whole brain connectivity in bipolar patients with and without co-occurring psychosis and whether this pattern resembles that found in schizophrenia. We conducted a human resting-state functional connectivity investigation focused on the vACC seed in 73 remitted bipolar I disorder patients (33 with psychosis history), 56 demographically matched healthy comparison subjects, and 73 demographically matched patients with chronic schizophrenia. Psychosis history within the bipolar disorder group corresponded with significant between-group connectivity alterations along the dorsal medial prefrontal surface when using the vACC seed. Patients with psychosis history showed reduced connectivity (Cohen's d = -0.69), whereas those without psychosis history showed increased vACC coupling (Cohen's d = 0.8) relative to controls. The vACC connectivity observed in chronic schizophrenia patients was not significantly different from that seen in bipolar patients with psychosis history but was significantly reduced compared with that in bipolar patients without psychosis history. These robust findings reveal complex vACC connectivity alterations in bipolar illness, which suggest differences depending on co-occurrence of lifetime psychosis. The similarities in vACC connectivity patterns in schizophrenia and psychotic bipolar disorder patients may suggest the existence of common mechanisms underlying psychotic symptoms in the two disorders.

Mediodorsal and visual thalamic connectivity differ in schizophrenia and bipolar disorder with and without psychosis history.

Empirical and theoretical studies implicate thalamocortical circuits in schizophrenia, supported by emerging resting-state functional connectivity studies (rs-fcMRI). Similar but attenuated alterations were found in bipolar disorder (BD). However, it remains unknown if segregated loops within thalamocortical systems show distinct rs-fcMRI alterations in schizophrenia. For instance, the mediodorsal (MD) nucleus, known to project to prefrontal networks, may be differently altered than the lateral geniculate nucleus (LGN), known to project to the occipital cortex. Also, it remains unknown if these circuits show different patterns of alterations in BD as a function of psychosis history, which may be associated with a more severe clinical course. We addressed these questions in 90 patients with chronic schizophrenia and 73 remitted BD patients (33 with psychosis history) matched to 146 healthy comparison subjects. We hypothesized that the MD vs LGN would show dissociations across diagnostic groups. We found that MD and LGN show more qualitative similarities than differences in their patterns of dysconnectivity in schizophrenia. In BD, patterns qualitatively diverged between thalamic nuclei although these effects were modest statistically. BD with psychosis history was associated with more severe dysconnectivity, particularly for the MD nucleus. Also, the MD nucleus showed connectivity reductions with the cerebellum in schizophrenia but not in BD. Results suggest dissociations for thalamic nuclei across diagnoses, albeit carefully controlling for medication is warranted in future studies. Collectively, these findings have implications for designing more precise neuroimaging-driven biomarkers that can identify common and divergent large-scale network perturbations across psychiatric diagnoses with shared symptoms.