Comparison of cognitive performance in first-episode drug-naïve schizophrenia, bipolar II disorder, and major depressive disorder patients after treatment.

BACKGROUND: Cognitive impairment is a recognized fundamental deficit in individuals diagnosed with schizophrenia (SZ), bipolar II disorder (BD II), and major depressive disorder (MDD), among other psychiatric disorders. However, limited research has compared cognitive function among first-episode drug-naïve individuals with SZ, BD II, or MDD. METHODS: This study aimed to address this gap by assessing the cognitive performance of 235 participants (40 healthy controls, 58 SZ patients, 72 BD II patients, and 65 MDD patients) using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) before and after 12 weeks of treatment in SZ, BD II, and MDD patients. To clarify, the healthy controls only underwent RBANS testing at baseline, whereas the patient groups were assessed before and after treatment. The severity of symptoms in SZ patients was measured using the Positive and Negative Syndrome Scale (PANSS), and depression in BD II and MDD patients was assessed using the Hamilton Depression Scale-24 items (HAMD-24 items). RESULTS: Two hundred participants completed the 12-week treatment period, with 35 participants dropping out due to various reasons. This group included 49 SZ patients, 58 BD II patients, and 53 MDD patients. Among SZ patients, significant improvements in immediate and delayed memory were observed after 12 weeks of treatment compared to their initial scores. Similarly, BD II patients showed significant improvement in immediate and delayed memory following treatment. However, there were no significant differences in RBANS scores for MDD patients after 12 weeks of treatment. CONCLUSIONS: In conclusion, the findings of this study suggest that individuals with BD II and SZ may share similar deficits in cognitive domains. It is important to note that standardized clinical treatment may have varying degrees of effectiveness in improving cognitive function in patients with BD II and SZ, which could potentially alleviate cognitive dysfunction.

Clinical distinctions in symptomatology and psychiatric comorbidities between misdiagnosed bipolar I and bipolar II disorder versus major depressive disorder.

BACKGROUND: To explore the demographic and clinical features of current depressive episode that discriminate patients diagnosed with major depressive disorder (MDD) from those with bipolar I (BP-I) and bipolar II (BP-II) disorder who were misdiagnosed as having MDD . METHODS: The Mini-International Neuropsychiatric Interview (MINI) assessment was performed to establish DSM-IV diagnoses of MDD, and BP-I and BP-II, previously being misdiagnosed as MDD. Demographics, depressive symptoms and psychiatric comorbidities were compared between 1463 patients with BP-I, BP-II and MDD from 8 psychiatric settings in mainland China. A multinomial logistic regression model was performed to assess clinical correlates of diagnoses. RESULTS: A total of 14.5% of the enrolled patients initially diagnosed with MDD were eventually diagnosed with BP. Broad illness characteristics including younger age, higher prevalence of recurrence, concurrent dysthymia, suicidal attempts, agitation, psychotic features and psychiatric comorbidities, as well as lower prevalence of insomnia, weight loss and somatic symptoms were featured by patients with BP-I and/or BP-I, compared to those with MDD. Comparisons between BP-I and BP-II versus MDD indicated distinct symptom profiles and comorbidity patterns with more differences being observed between BP-II and MDD, than between BP-I and MDD . CONCLUSION: The results provide evidence of clinically distinguishing characteristics between misdiagnosed BP-I and BP- II versus MDD. The findings have implications for guiding more accurate diagnoses of bipolar disorders.

Immediate visual reproduction negatively correlates with brain entropy of parahippocampal gyrus and inferior occipital gyrus in bipolar II disorder adolescents.

BACKGROUND: Brain entropy reveals complexity and irregularity of brain, and it has been proven to reflect brain complexity alteration in disease states. Previous studies found that bipolar disorder adolescents showed cognitive impairment. The relationship between complexity of brain neural activity and cognition of bipolar II disorder (BD-II) adolescents remains unclear. METHODS: Nineteen BD-II patients (14.63 ±1.57 years old) and seventeen age-gender matched healthy controls (HCs) (14.18 ± 1.51 years old) were enlisted. Entropy values of all voxels of the brain in resting-state functional MRI data were calculated and differences of them between BD-II and HC groups were evaluated. After that, correlation analyses were performed between entropy values of brain regions showing significant entropy differences and clinical indices in BD-II adolescents. RESULTS: Significant differences were found in scores of immediate visual reproduction subtest (VR-I, p = 0.003) and Stroop color-word test (SCWT-1, p = 0.015; SCWT-2, p = 0.004; SCWT-3, p = 0.003) between the two groups. Compared with HCs, BD-II adolescents showed significant increased brain entropy in right parahippocampal gyrus and right inferior occipital gyrus. Besides, significant negative correlations between brain entropy values of right parahippocampal gyrus, right inferior occipital gyrus and immediate visual reproduction subtest scores were observed in BD-II adolescents. CONCLUSIONS: The findings of the present study suggested that the disrupted function of corticolimbic system is related with cognitive abnormality of BD-II adolescents. And from the perspective temporal dynamics of brain system, the current study, brain entropy may provide available evidences for understanding the underlying neural mechanism in BD-II adolescents.

Deficits of social cognition in bipolar disorder: Systematic review and meta-analysis.

BACKGROUND: The association between impaired social cognition and bipolar disorder (BD) is well established. However, to our knowledge, there has not been a recent systematic review that characterizes disparate dimensions of social cognition in BD. Herein, this systematic review and meta-analysis aimed to synthesize the literature on core aspects of social cognition (i.e., Theory of Mind, emotion recognition, and social judgment) to identify potential areas of impairment. METHODS: Online databases (i.e., PubMed, Cochrane Libraries, PsycINFO) and Google Scholar were searched from inception to May 2021. Studies with populations ages ≥16 with DSM-IV or DSM-5 defined BD (I or II) either in a euthymic or symptomatic state were included. The risk of bias was measured using the ROBINS-1 tool, and the quality of the sources was evaluated using GRADE criteria. The results of the studies were quantitatively measured by synthesizing Hedge's g effect sizes through a random effects meta-analytic approach. RESULTS: A total of 29 studies were included in the final review (i.e., 12 studies on the Theory of Mind, 11 on emotion recognition, and 6 on social judgment). Overall, results demonstrated social cognition to be moderately impaired in individuals with BD (d = 0.59). The individual domains ranged in effect size (0.38 < d < 0.70), providing evidence for variation in impairment within social cognition. DISCUSSION: Individuals with BD exhibit clinically significant deficits in social cognition during euthymic and symptomatic states. Social cognition impairments in individuals with BD are an important therapeutic target for treatment discovery and development.

Clinical characteristic of prodromal symptoms between bipolar I and II disorder among Chinese patients: a retrospective study.

BACKGROUND: This study aimed to identify the clinical characteristic of prodromal symptoms in Chinese patients with bipolar disorder (BD), prior to the first affective episode. It further aimed to characterize the prodromal traits between bipolar disorder type I (BD-I) and type II (BD-II). METHODS: 120 individuals with BD-I (n = 92) and BD- II (n = 28) were recruited to the study. Semi-structured interviews were then administered to evaluate prodromal symptoms in patients, within 3 years of BD onset, by using the Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R). RESULTS: In the prodromal phase of the first depressive episode, patients with BD-II experienced more prodromal symptoms (p = 0.0028) compared to BD-I. Additionally, more frequent predictors were reported in patients with BD-II than BD-I including educational and occupational dysfunction (p = 0.0023), social isolation (p < 0.001), difficulty making decisions (p = 0.0012), oppositionality (p = 0.012), and suspiciousness/persecutory ideas (p = 0.017). There were also differences in the duration of the precursors. The duration of "weight loss or decrease in appetite" (p = 0.016) lasted longer in patients with BD-I, while "obsessions and compulsions" (p = 0.023) started earlier in patients with BD-II and occurred during the pre-depressive period. The prevalence and duration of each reported prodrome, preceding a first (hypo) manic episode, showed no difference between patients with BD-I and BD-II. CONCLUSIONS: Specific affective, general, or psychotic symptoms occurred prior to both affective episodes. The characteristic of prodromal symptoms were key predictors for later episodes of BD including attenuated mania-like symptoms, subthreshold depressed mood, mood swings/lability, and anxiety. In the pre-depressive state, when compared to BD-II, BD-I presented with more prodromal symptoms in nonspecific dimensions, which indicated the substantial burden of BD-II. In conclusion, this study extends the understanding of the characteristics of prodromes of BD-I and BD-II.

Bipolar disorder in megalencephalic leukoencephalopathy with subcortical cysts: a case report.

BACKGROUND: Megalencephalic leukoencephalopathy with subcortical cysts (MLC), or Van der Knaap disease, is a rare spongiform leukodystrophy that is characterized by macrocephaly, progressive motor dysfunction, and mild mental retardation. It is very rare for mental illness such as psychotic disorders, affective disorders and anxiety disorders to occur in MLC. CASE PRESENTATION: A 17-year-old boy was admitted to our hospital after he developed symptoms of depressive state with catatonia after being diagnosed as having MLC with confirmed MLC1 mutation. His catatonic symptoms were improved with administration of olanzapine and sertraline and he was discharged after 4 months. Several months later, he became hypomanic. He was diagnosed with bipolar II disorder. Mood swings were controlled with the administration of carbamazepine. CONCLUSIONS: This case is the first report of bipolar disorder during the clinical course of MLC. This case indicate the possibility that MLC influences the development of bipolar disorder in MLC, however, further studies involving more patients are required to clarify this.

Improving treatment decision-making in bipolar II disorder: a phase II randomised controlled trial of an online patient decision-aid.

BACKGROUND: Many patients with bipolar II disorder (BPII) prefer to be more informed and involved in their treatment decision-making than they currently are. Limited knowledge and involvement in one's treatment is also likely to compromise optimal BPII management. This Phase II RCT aimed to evaluate the acceptability, feasibility, and safety of a world-first patient decision-aid website (e-DA) to improve treatment decision-making regarding options for relapse prevention in BPII. The e-DA's potential efficacy in terms of improving quality of the decision-making process and quality of the decision made was also explored. METHODS: The e-DA was based on International Patient Decision-Aid Standards and developed via an iterative co-design process. Adults with BPII diagnosis (n = 352) were recruited through a specialist outpatient clinical service and the social media of leading mental health organisations. Participants were randomised (1:1) to receive standard information with/without the e-DA (Intervention versus Control). At baseline (T0), post-treatment decision (T1) and at 3 months' post-decision follow-up (T2), participants completed a series of validated and purpose-designed questionnaires. Self-report and analytics data assessed the acceptability (e.g., perceived ease-of-use, usefulness; completed by Intervention participants only), safety (i.e., self-reported bipolar and/or anxiety symptoms), and feasibility of using the e-DA (% accessed). For all participants, questionnaires assessed constructs related to quality of the decision-making process (e.g., decisional conflict) and quality of the decision made (e.g., knowledge of treatment options and outcomes). RESULTS: Intervention participants endorsed the e-DA as acceptable and feasible to use (82.1-94.6% item agreement); most self-reported using the e-DA either selectively (51.8%; relevant sections only) or thoroughly (34%). Exploratory analyses indicated the e-DA's potential efficacy to improve decision-making quality; most between-group standardised mean differences (SMD) were small-to-moderate. The largest potential effects were detected for objective treatment knowledge (- 0.69, 95% CIs - 1.04, - 0.33 at T1; and - 0.57, 95% CIs - 0.99,-0.14 at T2), decisional regret at T2 (0.42, 95% CIs 0.01, 0.84), preparation for decision-making at T1 (- 0.44, 95% CIs - 0.81, - 0.07), and the Decisional Conflict Scale Uncertainty subscale (0.42, 95% CIs 0.08, 0.08) and Total (0.36, 95% CIs 0.30, 0.69) scores, with all SMDs favouring the Intervention over the Control conditions. Regarding safety, e-DA use was not associated with worse bipolar symptoms or anxiety. CONCLUSION: The e-DA appears to be acceptable, feasible, safe and potentially efficacious at improving patients' decision-making about BPII treatment. Findings also support the future adoption of the e-DA into patient care for BPII to foster treatment decisions based on the best available evidence and patient preferences. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12617000840381 (prospectively registered 07/06/2017).

Non-consensual recommendations for managing bipolar II disorder.

OBJECTIVE: The objective of this study is to report on the degree of consensus in experts' recommendations for managing bipolar II disorder. METHODS: Eighteen international clinician researchers with expertise in managing bipolar disorders were provided with 14 questions addressing nuances in managing those with a bipolar II disorder. RESULTS: To all questions, the independently derived recommended strategies demonstrated distinct divergence. CONCLUSION: The lack of consensus in management recommendations is likely to reflect the disorder being relatively recently formalised, the lack of condition-specific randomised controlled trial data and the nature of psychiatric practice.

Psychopathologic structure of bipolar disorders: exploring dimensional phenotypes, their relationships, and their associations with bipolar I and II disorders.

BACKGROUND: Given its diverse disease courses and symptom presentations, multiple phenotype dimensions with different biological underpinnings are expected with bipolar disorders (BPs). In this study, we aimed to identify lifetime BP psychopathology dimensions. We also explored the differing associations with bipolar I (BP-I) and bipolar II (BP-II) disorders. METHODS: We included a total of 307 subjects with BPs in the analysis. For the factor analysis, we chose six variables related to clinical courses, 29 indicators covering lifetime symptoms of mood episodes, and 6 specific comorbid conditions. To determine the relationships among the identified phenotypic dimensions and their effects on differentiating BP subtypes, we applied structural equation modeling. RESULTS: We selected a six-factor solution through scree plot, Velicer's minimum average partial test, and face validity evaluations; the six factors were cyclicity, depression, atypical vegetative symptoms, elation, psychotic/irritable mania, and comorbidity. In the path analysis, five factors excluding atypical vegetative symptoms were associated with one another. Cyclicity, depression, and comorbidity had positive associations, and they correlated negatively with psychotic/irritable mania; elation showed positive correlations with cyclicity and psychotic/irritable mania. Depression, cyclicity, and comorbidity were stronger in BP-II than in BP-I, and they contributed significantly to the distinction between the two disorders. CONCLUSIONS: We identified six phenotype dimensions; in addition to symptom features of manic and depressive episodes, various comorbidities and high cyclicity constructed separate dimensions. Except for atypical vegetative symptoms, all factors showed a complex interdependency and played roles in discriminating BP-II from BP-I.

Psychosocial Interventions for Bipolar II Disorder.

Bipolar II disorder causes significant suffering among patients and their families, some of which may be alleviated by psychotherapy alone or as an adjunct to pharmacotherapy. Psychotherapies may be more effective if modified to meet the specific needs of patients with bipolar II disorder.

Changes in inflammation with treatment for bipolar II depression: Pilot trial data on differential effects of psychotherapy and medication.

OBJECTIVES: Limited prospective data, mostly focused on bipolar I disorder, suggests that pro-inflammatory cytokines are elevated in abnormal mood states. We evaluated whether treatment normalizes peripheral markers of inflammation in bipolar II disorder. METHODS: Using data from a randomized clinical trial of Interpersonal and Social Rhythm Therapy (IPSRT) + quetiapine vs. IPSRT + placebo for bipolar II depression, we examined whether these treatments for bipolar II depression impact inflammatory cytokines and whether observed changes in cytokines are associated with changes in depressive symptomatology as measured by the Hamilton Rating Scale for Depression (HRSD-17). RESULTS: Cytokine values were available for 33 participants who completed baseline and 20-week followup visits. After excluding those with CRP values >=10 mg/L, there were 27 patients available for analysis (IPSRT+quetiapine N=10, IPSRT+placebo N=17). Baseline measure of inflammation did not appear to moderate treatment response, nor was change in HRSD-17 score correlated with changes in cytokines. Those who received IPSRT+quetiapine had significantly greater increases in IL-6 (p=0.02) and TNF-α (p=0.04), even after adjusting for changes in body mass index, than the IPSRT alone group. Descriptively, the quetiapine group showed increases in pro-inflammatory and decreases in anti-inflammatory cytokines and the psychotherapy group showed reduced pro-inflammatory cytokines. CONCLUSIONS: Despite both groups showing depression improvement, this small study suggests a more pro-inflammatory cytokine profile over time with quetiapine plus psychotherapy compared to psychotherapy alone. Elevated risk of cardiovascular morbidity and mortality among those with bipolar II disorder underscores the importance of delivering treatments that do not exacerbate these risk factors.

Add-On Memantine Treatment for Bipolar II Disorder Comorbid with Alcohol Dependence: A 12-Week Follow-Up Study.

BACKGROUND: Bipolar disorder (BD), especially BD-II, is frequently comorbid with alcohol dependence. Because BD-II and alcohol dependence are neurodegenerative disorders, agents with anti-inflammatory and neurotrophic effects might provide effective therapy. We investigated whether add-on memantine to regular valproic acid treatment ameliorated clinical symptoms, reduced alcohol use, and cytokine levels, and increased plasma brain-derived neurotrophic factor (BDNF) in BD-II patients with comorbid alcohol dependence. METHODS: In a single-arm 12-week clinical trial, BD-II patients with comorbid alcohol dependence (n = 45) undergoing regular valproic acid treatments were given add-on memantine (5 mg/d). Symptom severity, alcohol use, cytokine (plasma tumor necrosis factor-α and C-reactive protein [CRP], transforming growth factor-ß1 [TGF-ß1], interleukin-8 [IL-8], IL-10), and plasma BDNF levels were regularly assessed. RESULTS: Mean within-group decreases in Hamilton Depression Rating Scale (HDRS) and Young Mania Rating Scale (YMRS) scores, alcohol use, CRP, BDNF, and IL-8 levels were significantly different from baseline after 12 weeks of treatment. We found no significant correlation between alcohol use levels and changes in HDRS or YMRS scores. The correlation between reduced alcohol use and reduced TGF-ß1 level was significant (B = 0.003, p = 0.019). CONCLUSIONS: BD-II comorbid with alcohol dependence might benefit from add-on memantine treatment, which significantly reduced clinical severity, alcohol use, and plasma cytokine levels, and increased BDNF levels.

Bipolar II disorder case study.

When a patient suffering from bipolar II disorder is misdiagnosed as experiencing unipolar depression, the recommended treatment of the latter may precipitate a hypomanic or manic episode. Unchecked hypomanic symptoms may include risky behaviors, through which a patient could sustain irreparable damage to relationships, careers, and finances. Sometimes, patients are familiar enough with bipolar illness that they may anticipate or interpret inquiry regarding hypomanic symptomology (Goodwin & Jamison, 1990). Applying their own stigmas to bipolar illness, such patients may only admit to depressive symptoms to avoid a bipolar diagnosis (Goodwin & Jamison, 1990). Also, hypomanic symptoms can be nuanced and difficult to detect in patients who may misinterpret the elevated mood state as a return to good mental health rather than the pathologic condition it is. These and other factors, such as poor memory, substance use, physical problems, and co-morbid mental illnesses, contribute to the misdiagnosis and delayed diagnosis of bipolar II disorder for many patients (APA, 2013; Goodwin & Jamison, 1990). The astute clinician, however, can bypass the cascade of events leading up to the poor outcomes associated with unrecognized and mistreated hypomanic symptoms by committing to due diligence when assessing mood symptoms, depressed and elevated.

A qualitative exploration of patient and family views and experiences of treatment decision-making in bipolar II disorder.

BACKGROUND: Treatment decision-making in bipolar II disorder (BPII) is challenging, yet the decision support needs of patients and family remain unknown. AIM: To explore patient and family perspectives of treatment decision-making in BPII. METHOD: Semistructured, qualitative interviews were conducted with 28 patients with BPII-diagnosis and 13 family members with experience in treatment decision-making in the outpatient setting. Interviews were audiotaped, transcribed verbatim and analysed thematically using framework methods. Participant demographics, clinical characteristics and preferences for patient decision-making involvement were assessed. RESULTS: Four inter-related themes emerged: (1) Attitudes and response to diagnosis and treatment; (2) Influences on decision-making; (3) The nature and flow of decision-making; (4) Decision support and challenges. Views differed according to patient involvement preferences, time since diagnosis and patients' current mood symptoms. CONCLUSIONS: This is the first known study to provide in-depth patient and family insights into the key factors influencing BPII treatment decision-making, and potential improvements and challenges to this process. Findings will inform the development of BPII treatment decision-making resources that better meet the informational and decision-support priorities of end users. DECLARATION OF INTEREST: This research was partly funded by a Postgraduate Research Grant awarded to the first author by the University of Sydney. No conflicts of interest declared.

Comparison of associated features and drug treatment between co-occurring unipolar and bipolar disorders in depressed eating disorder patients.

BACKGROUND: To examine the differences of associated characteristics and prescription drug use between co-occurring unipolar and bipolar disorders in patients with eating disorders (EDs). METHODS: Patients with EDs and major depressive episode (MDE) were recruited from psychiatric outpatient clinics. They were interviewed and completed self-administered measures assessing eating and general psychopathology. The prescribed drugs at the index outpatient visit were recorded. Clinical characteristics and prescription drugs of groups with major depressive disorder (ED-MDD), MDE with lifetime mania (ED-BP I), and MDE with lifetime hypomania (ED-BP II) were compared. Continuous variables between groups were compared using generalized linear regression with adjustments of age, gender, and ED subtype for pair-wise comparisons. Multivariate logistic regression with adjustments of age, gender, and ED subtype was employed to estimate adjusted odds ratios with 95% confidence intervals between groups. RESULTS: Two hundred and twenty-seven patients with EDs had a current MDE. Among them, 17.2% and 24.2% experienced associated manic and hypomanic episodes, respectively. Bipolar I and II patients displayed significantly poorer weight regulation, more severe impulsivity and emotional lability, and higher rates of co-occurring alcohol use disorders than ED-MDD patients. ED-BP I patients were found to have the lowest IQ, poorest working memory, and the most severe depression, suicidality and functional impairment among all patients. Patients with ED-BP II shared affect and behavioral dysregulations with ED-BP I, but had less severe degrees of cognitive and functional impairments than ED-BP I. Patients with ED-BP I were significantly less likely than those in the ED-MDD and ED-BP II groups to be on antidepressant monotherapy, but a great rate (27%) of ED-BP I individuals taking antidepressant monotherapy had potential risk of mood switch during the course of treatment. CONCLUSIONS: Our study identified discriminative features of bipolar I and II disorders from MDD among a group of depressed ED patients. We suggest that the associated mania, hypomania, and mood lability are predictors of clinical severity and should be identified from ED patients presented with depressive features. Accurate diagnosis of bipolar disorders may have implications for pharmacotherapy in patients with EDs.

A Qualitative Exploration of Clinician Views and Experiences of Treatment Decision-Making in Bipolar II Disorder.

This study qualitatively explored clinicians' views and experiences of treatment decision-making in BPII. Semi-structured interviews were conducted with 20 practising clinicians (n = 10 clinical psychologists, n = 6 GPs, n = 4 psychiatrists) with experience in treating adult outpatients with BPII. Interviews were audiotaped, transcribed verbatim and thematically analysed using framework methods. Professional experience, and preferences for patient involvement in decision-making were also assessed. Qualitative analyses yielded four inter-related themes: (1) (non-)acceptance of diagnosis and treatment; (2) types of decisions; (3) treatment uncertainty and balancing act; and (4) decision-making in consultations. Clinician preferences for treatment, professional experience, and self-reported preferences for patient/family involvement seemed to influence decision-making. This study is the first to explore clinician views and experiences of treatment decision-making in BPII. Findings demonstrate how clinician-related factors may shape treatment decision-making, and suggest potential problems such as patient perceptions of lower-than-preferred involvement.

Trends in the diagnosis of bipolar disorder: Has the story changed?

OBJECTIVE: A recent study reported an 8% increase in bipolar diagnoses in public and community mental health services in New South Wales from 2003 to 2014, an increase interpreted by the authors as reflecting increasing diagnostic boundaries of bipolar disorder, and bipolar II in particular. If valid, we would expect an increase in hospital admissions for hypomania as well as for mania and so analysed a relevant dataset to test that hypothesis. METHODS: Data were examined for 27,255 individuals hospitalised in NSW psychiatric hospitals over a 14-year period (2000-2014) for ICD-10 diagnosed mania or hypomania and with analyses examining rates of hospitalisation/per year for both mania and for hypomania. RESULTS: While overall admissions for mania and hypomania increased over the study period by 16.4%, admissions for mania increased by 31.0% and admissions for hypomania actually decreased by 32.1%. CONCLUSION: The increased rate in admissions of those with a bipolar disorder appears to reflect a trend over more than four decades. The hypothesis that any increase in the diagnostic boundaries of bipolar II disorder would be associated with an increase in hospitalisation rates was rejected, with the converse trend being identified.

Identification of Susceptible Loci and Enriched Pathways for Bipolar II Disorder Using Genome-Wide Association Studies.

BACKGROUND: This study aimed to identify susceptible loci and enriched pathways for bipolar disorder subtype II. METHODS: We conducted a genome-wide association scan in discovery samples with 189 bipolar disorder subtype II patients and 1773 controls, and replication samples with 283 bipolar disorder subtype II patients and 500 controls in a Taiwanese Han population using Affymetrix Axiom Genome-Wide CHB1 Array. We performed single-marker and gene-based association analyses, as well as calculated polygeneic risk scores for bipolar disorder subtype II. Pathway enrichment analyses were employed to reveal significant biological pathways. RESULTS: Seven markers were found to be associated with bipolar disorder subtype II in meta-analysis combining both discovery and replication samples (P<5.0×10-6), including markers in or close to MYO16, HSP90AB3P, noncoding gene LOC100507632, and markers in chromosomes 4 and 10. A novel locus, ETF1, was associated with bipolar disorder subtype II (P<6.0×10-3) in gene-based association tests. Results of risk evaluation demonstrated that higher genetic risk scores were able to distinguish bipolar disorder subtype II patients from healthy controls in both discovery (P=3.9×10-4~1.0×10-3) and replication samples (2.8×10-4~1.7×10-3). Genetic variance explained by chip markers for bipolar disorder subtype II was substantial in the discovery (55.1%) and replication (60.5%) samples. Moreover, pathways related to neurodevelopmental function, signal transduction, neuronal system, and cell adhesion molecules were significantly associated with bipolar disorder subtype II. CONCLUSION: We reported novel susceptible loci for pure bipolar subtype II disorder that is less addressed in the literature. Future studies are needed to confirm the roles of these loci for bipolar disorder subtype II.

The Differential Levels of Inflammatory Cytokines and BDNF among Bipolar Spectrum Disorders.

OBJECTIVE: Emerging evidence suggests that inflammation and neurodegeneration underlies bipolar disorder. To investigate biological markers of cytokines and brain-derived neurotrophic factor between bipolar I, bipolar II, and other specified bipolar disorder with short duration hypomania may support the association with inflammatory dysregulation and bipolar disorder and, more specifically, provide evidence for other specified bipolar disorder with short duration hypomania patients were similar to bipolar II disorder patients from a biological marker perspective. METHODS: We enrolled patients with bipolar I disorder (n=234), bipolar II disorder (n=260), other specified bipolar disorder with short duration hypomania (n=243), and healthy controls (n=140). Their clinical symptoms were rated using the Hamilton Depression Rating Scale and Young Mania Rating Scale. Inflammatory cytokine (tumor necrosis factor-α, C-reactive protein, transforming growth factor-ß1, and interleukin-8) and brain-derived neurotrophic factor levels were measured in each group. Multivariate analysis of covariance and linear regression controlled for possible confounders were used to compare cytokine and brain-derived neurotrophic factor levels among the groups. RESULTS: Multivariate analysis of covariance adjusted for age and sex and a main effect of diagnosis was significant (P<.001). Three of the 5 measured biomarkers (tumor necrosis factor-α, transforming growth factor-ß1, and interleukin-8) were significantly (P=.006, .01, and <.001) higher in all bipolar disorder patients than in controls. Moreover, covarying for multiple associated confounders showed that bipolar I disorder patients had significantly higher IL-8 levels than did bipolar II disorder and other specified bipolar disorder with short duration hypomania patients in multivariate analysis of covariance (P=.03) and linear regression (P=.02) analyses. Biomarkers differences between bipolar II disorder and other specified bipolar disorder with short duration hypomania patients were nonsignificant. CONCLUSION: The immunological disturbance along the bipolar spectrum was most severe in bipolar I disorder patients. Other specified bipolar disorder with short duration hypomania patients and bipolar II disorder patients did not differ in these biological markers.

Cognitive variability in bipolar II disorder: who is cognitively impaired and who is preserved.

OBJECTIVES: Although it is well established that euthymic patients with bipolar disorder can have cognitive impairment, substantial heterogeneity exists and little is known about the extent and severity of impairment within the bipolar II disorder subtype. Therefore, the main aim of this study was to analyze cognitive variability in a sample of patients with bipolar II disorder. METHODS: The neuropsychological performance of 116 subjects, including 64 euthymic patients with bipolar II disorder and 52 healthy control subjects, was examined and compared by means of a comprehensive neurocognitive battery. Neurocognitive data were analyzed using a cluster analysis to examine whether there were specific groups based on neurocognitive patterns. Subsequently, subjects from each cluster were compared on demographic, clinical, and functional variables. RESULTS: A three-cluster solution was identified with an intact neurocognitive group (n = 29, 48.3%), an intermediate or selectively impaired group (n = 24, 40.0%), and a globally impaired group (n = 7, 11.6%). Among the three clusters, statistically significant differences were observed in premorbid intelligence quotient (p = 0.002), global functional outcome (p = 0.021), and leisure activities (p = 0.001), with patients in the globally impaired cluster showing the lowest attainments. No differences in other clinical characteristics were found among the groups. CONCLUSIONS: These results confirm that neurocognitive variability is also present among patients with bipolar II disorder. Approximately one-half of the patients with bipolar II disorder were cognitively impaired, and among them 12% were severely and globally impaired. The identification of different cognitive profiles may help to develop cognitive remediation programs specifically tailored for each cognitive profile.