Evidence of a large current of transcranial alternating current stimulation directly to deep brain regions.

Deep brain regions such as hippocampus, insula, and amygdala are involved in neuropsychiatric disorders, including chronic insomnia and depression. Our recent reports showed that transcranial alternating current stimulation (tACS) with a current of 15 mA and a frequency of 77.5 Hz, delivered through a montage of the forehead and both mastoids was safe and effective in intervening chronic insomnia and depression over 8 weeks. However, there is no physical evidence to support whether a large alternating current of 15 mA in tACS can send electrical currents to deep brain tissue in awake humans. Here, we directly recorded local field potentials (LFPs) in the hippocampus, insula and amygdala at different current strengths (1 to 15 mA) in 11 adult patients with drug-resistant epilepsy implanted with stereoelectroencephalography (SEEG) electrodes who received tACS at 77.5 Hz from 1 mA to 15 mA at 77.5 Hz for five minutes at each current for a total of 40 min. For the current of 15 mA at 77.5 Hz, additional 55 min were applied to add up a total of 60 min. Linear regression analysis revealed that the average LFPs for the remaining contacts on both sides of the hippocampus, insula, and amygdala of each patient were statistically associated with the given currents in each patient (p < 0.05-0.01), except for the left insula of one subject (p = 0.053). Alternating currents greater than 7 mA were required to produce significant differences in LFPs in the three brain regions compared to LFPs at 0 mA (p < 0.05). The differences remained significant after adjusting for multiple comparisons (p < 0.05). Our study provides direct evidence that the specific tACS procedures are capable of delivering electrical currents to deep brain tissues, opening a realistic avenue for modulating or treating neuropsychiatric disorders associated with hippocampus, insula, and amygdala.

Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis.

Lithium (Li) is one of the most effective drugs for treating bipolar disorder (BD), however, there is presently no way to predict response to guide treatment. The aim of this study is to identify functional genes and pathways that distinguish BD Li responders (LR) from BD Li non-responders (NR). An initial Pharmacogenomics of Bipolar Disorder study (PGBD) GWAS of lithium response did not provide any significant results. As a result, we then employed network-based integrative analysis of transcriptomic and genomic data. In transcriptomic study of iPSC-derived neurons, 41 significantly differentially expressed (DE) genes were identified in LR vs NR regardless of lithium exposure. In the PGBD, post-GWAS gene prioritization using the GWA-boosting (GWAB) approach identified 1119 candidate genes. Following DE-derived network propagation, there was a highly significant overlap of genes between the top 500- and top 2000-proximal gene networks and the GWAB gene list (Phypergeometric = 1.28E-09 and 4.10E-18, respectively). Functional enrichment analyses of the top 500 proximal network genes identified focal adhesion and the extracellular matrix (ECM) as the most significant functions. Our findings suggest that the difference between LR and NR was a much greater effect than that of lithium. The direct impact of dysregulation of focal adhesion on axon guidance and neuronal circuits could underpin mechanisms of response to lithium, as well as underlying BD. It also highlights the power of integrative multi-omics analysis of transcriptomic and genomic profiling to gain molecular insights into lithium response in BD.

Role of Electroconvulsive Therapy, Ketamine Infusion, and Deep Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Bipolar Depression: A Case Report.

Background and Objectives: Options for treatment-resistant bipolar depression (TRBPD) are limited. Electroconvulsive therapy (ECT) has shown efficacy in TRBPD. However, the cognitive deficits and memory concerns associated with ECT are problematic for a significant number of patients. It remains unclear what the next step is for patients with TRBPD who fail ECT. Materials and Methods: In this case report, we present a patient with TRBPD who sequentially received 12 sessions of brief-pulse right unilateral ECT, 22 sessions of ketamine infusion at 0.5-0.75 mg/kg for 40 min, and 39 sessions of deep repetitive transcranial magnetic stimulation (dTMS). Results: The patient had some benefit from ECT, but declined continuation of ECT due to memory concerns. The patient tolerated ketamine infusion well but had limited benefit. However, the patient responded well to acute treatment with dTMS and maintained relative stability for more than 2 years. Conclusions: This case suggests that patients with TRBPD who fail ECT and/or ketamine infusion might benefit from dTMS.

Transcranial alternating current stimulation for treating depression: a randomized controlled trial.

Treatment of depression with antidepressants is partly effective. Transcranial alternating current stimulation can provide a non-pharmacological alternative for adult patients with major depressive disorder. However, no study has used the stimulation to treat first-episode and drug-naïve patients with major depressive disorder. We used a randomized, double-blind, sham-controlled design to examine the clinical efficacy and safety of the stimulation in treating first-episode drug-naïve patients in a Chinese Han population. From 4 June 2018 to 30 December 2019, 100 patients were recruited and randomly assigned to receive 20 daily 40-min, 77.5 Hz, 15 mA, one forehead and two mastoid sessions of active or sham stimulation (n = 50 for each group) in four consecutive weeks (Week 4), and were followed for additional 4-week efficacy/safety assessment without stimulation (Week 8). The primary outcome was a remission rate defined as the 17-item Hamilton Depression Rating Scale (HDRS-17) score ≤ 7 at Week 8. Secondary analyses were response rates (defined as a reduction of ≥ 50% in the HDRS-17), changes in depressive symptoms and severity from baseline to Week 4 and Week 8, and rates of adverse events. Data were analysed in an intention-to-treat sample. Forty-nine in the active and 46 in the sham completed the study. Twenty-seven of 50 (54%) in the active treatment group and 9 of 50 (18%) in the sham group achieved remission at the end of Week 8. The remission rate was significantly higher in the active group compared to that in the sham group with a risk ratio of 1.78 (95% confidence interval, 1.29, 2.47). Compared with the sham, the active group had a significantly higher remission rate at Week 4, response rates at Weeks 4 and 8, and a larger reduction in depressive symptoms from baseline to Weeks 4 and 8. Adverse events were similar between the groups. In conclusion, the stimulation on the frontal cortex and two mastoids significantly improved symptoms in first-episode drug-naïve patients with major depressive disorder and may be considered as a non-pharmacological intervention for them in an outpatient setting.

Divergent Directionality of Immune Cell-Specific Protein Expression between Bipolar Lithium Responders and Non-Responders Revealed by Enhanced Flow Cytometry.

Background and Objectives: There is no biomarker to predict lithium response. This study used CellPrint™ enhanced flow cytometry to study 28 proteins representing a spectrum of cellular pathways in monocytes and CD4+ lymphocytes before and after lithium treatment in patients with bipolar disorder (BD). Materials and Methods: Symptomatic patients with BD type I or II received lithium (serum level ≥ 0.6 mEq/L) for 16 weeks. Patients were assessed with standard rating scales and divided into two groups, responders (≥50% improvement from baseline) and non-responders. Twenty-eight intracellular proteins in CD4+ lymphocytes and monocytes were analyzed with CellPrint™, an enhanced flow cytometry procedure. Data were analyzed for differences in protein expression levels. Results: The intent-to-treat sample included 13 lithium-responders (12 blood samples before treatment and 9 after treatment) and 11 lithium-non-responders (11 blood samples before treatment and 4 after treatment). No significant differences in expression between the groups was observed prior to lithium treatment. After treatment, the majority of analytes increased expression in responders and decreased expression in non-responders. Significant increases were seen for PDEB4 and NR3C1 in responders. A significant decrease was seen for NR3C1 in non-responders. Conclusions: Lithium induced divergent directionality of protein expression depending on the whether the patient was a responder or non-responder, elucidating molecular characteristics of lithium responsiveness. A subsequent study with a larger sample size is warranted.

Correction of depression-associated circadian rhythm abnormalities is associated with lithium response in bipolar disorder.

BACKGROUND: Bipolar disorder (BD) is characterized by episodes of depression and mania and disrupted circadian rhythms. Lithium is an effective therapy for BD, but only 30%-40% of patients are fully responsive. Preclinical models show that lithium alters circadian rhythms. However, it is unknown if the circadian rhythm effects of lithium are essential to its therapeutic properties. METHODS: In secondary analyses of a multi-center, prospective, trial of lithium for BD, we examined the relationship between circadian rhythms and therapeutic response to lithium. Using standardized instruments, we measured morningness, diurnal changes in mood, sleep, and energy (circadian rhythm disturbances) in a cross-sectional study of 386 BD subjects with varying lithium exposure histories. Next, we tracked symptoms of depression and mania prospectively over 12 weeks in a subset of 88 BD patients initiating treatment with lithium. Total, circadian, and affective mood symptoms were scored separately and analyzed. RESULTS: Subjects with no prior lithium exposure had the most circadian disruption, while patients stable on lithium monotherapy had the least. Patients who were stable on lithium with another drug or unstable on lithium showed intermediate levels of disruption. Treatment with lithium for 12 weeks yielded significant reductions in total and affective depression symptoms. Lithium responders (Li-Rs) showed improvement in circadian symptoms of depression, but non-responders did not. There was no difference between Li-Rs and nonresponders in affective, circadian, or total symptoms of mania. CONCLUSIONS: Exposure to lithium is associated with reduced circadian disruption. Lithium response at 12 weeks was selectively associated with the reduction of circadian depressive symptoms. We conclude that stabilization of circadian rhythms may be an important feature of lithium's therapeutic effects. CLINICAL TRIALS REGISTRY: NCT0127253.

Image restoration for real-world under-display imaging.

Under-display imaging technique was recently proposed to enlarge the screen-to-body ratio for full-screen devices. However, existing image restoration algorithms have difficulty generalizing to real-world under-display (UD) images, especially to images containing strong light sources. To address this issue, we propose a novel method for building a synthetic dataset (CalibPSF dataset) and introduce a two-stage neural network to solve the under-display imaging degradation problem. The CalibPSF dataset is generated using the calibrated high dynamic range point spread function (PSF) of the under-display optical system and contains various simulated light sources. The two-stage network solves the color distortion and diffraction degradation in order. We evaluate the performance of our algorithm on our captured real-world test set. Comprehensive experiments demonstrate the superiority of our method in different dynamic range scenes.

Clinical predictors of non-response to lithium treatment in the Pharmacogenomics of Bipolar Disorder (PGBD) study.

BACKGROUND: Lithium is regarded as a first-line treatment for bipolar disorder (BD), but partial response and non-response commonly occurs. There exists a need to identify lithium non-responders prior to initiating treatment. The Pharmacogenomics of Bipolar Disorder (PGBD) Study was designed to identify predictors of lithium response. METHODS: The PGBD Study was an eleven site prospective trial of lithium treatment in bipolar I disorder. Subjects were stabilized on lithium monotherapy over 4 months and gradually discontinued from all other psychotropic medications. After ensuring a sustained clinical remission (defined by a score of ≤3 on the CGI for 4 weeks) had been achieved, subjects were followed for up to 2 years to monitor clinical response. Cox proportional hazard models were used to examine the relationship between clinical measures and time until failure to remit or relapse. RESULTS: A total of 345 individuals were enrolled into the study and included in the analysis. Of these, 101 subjects failed to remit or relapsed, 88 achieved remission and continued to study completion, and 156 were terminated from the study for other reasons. Significant clinical predictors of treatment failure (p < 0.05) included baseline anxiety symptoms, functional impairments, negative life events and lifetime clinical features such as a history of migraine, suicidal ideation/attempts, and mixed episodes, as well as a chronic course of illness. CONCLUSIONS: In this PGBD Study of lithium response, several clinical features were found to be associated with failure to respond to lithium. Future validation is needed to confirm these clinical predictors of treatment failure and their use clinically to distinguish who will do well on lithium before starting pharmacotherapy.

Acceptability of Acute and Maintenance Pharmacotherapy of Bipolar Disorder: A Systematic Review of Randomized, Double-Blind, Placebo-Controlled Clinical Trials.

PURPOSE/BACKGROUND: The aim of the study was to estimate and rank the risk for the discontinuation due to adverse events (DAEs), 7% or more weight gain (WG), and somnolence during the acute and maintenance treatment of bipolar disorder with a mood stabilizer or an antipsychotic monotherapy. METHODS/PROCEDURES: The search of MEDLINE, EMBASE, PsycINFO, and clinicaltrials.gov from the inception to December 31, 2018, provided 32 studies in mania, 16 in bipolar depression, and 13 in maintenance. Data of DAEs, WG, and somnolence from each study were extracted. The risk for these variables of an active treatment relative to placebo was estimated with a number needed to harm (NNH) as a single study and pooled sample. FINDINGS/RESULTS: For DAEs, pooled NNH ranged from 19 with carbamazepine to -21 with quetiapine-XR in mania, 11 with quetiapine-IR 600 mg/d to -37 with olanzapine/fluoxetine combination in bipolar depression, and 5 with lithium to -8 with asenapine in maintenance. For WG, pooled NNH ranged from 9 with olanzapine to -78 with aripiprazole in mania, 5 with olanzapine to -112 with lithium in bipolar depression, and 4 with olanzapine to 126 with asenapine in maintenance. For somnolence, pooled NNH was from 5 with carbamazepine to 23 with cariprazine in mania, 3 with quetiapine-XR 300 mg/d to 79 with lurasidone in bipolar depression, and 11 with olanzapine to -49 with aripiprazole in maintenance. IMPLICATIONS/CONCLUSIONS: All medications studied in bipolar disorder were relatively well tolerated during different phases of treatment; however, the risk for short- and long-term WG and somnolence varied widely among included psychotropics.

Comparison of blood lipid profile/thyroid function markers between unipolar and bipolar depressed patients and in depressed patients with anhedonia or suicidal thoughts.

BACKGROUND: This study aimed to investigate the differences in the serum levels of glucose, lipid, and thyroid function markers between unipolar and bipolar depressed patients, as well as the effect of anhedonia and suicidal thoughts on the levels of these biochemical parameters. METHODS: A total of 287 unmedicated depressed patients from January 2016 to December 2017 were included in this study, including 92 bipolar depressions and 195 unipolar depressions. Anhedonia was determined using the item 32 of Symptom Checklist (SCL-90). Suicide ideation was assessed by item 15 of SCL-90. RESULTS: The bipolar group had significantly lower lipid levels (including triglycerides, cholesterol, low-density lipoprotein cholesterol [LDL], very low-density lipoprotein cholesterol [VLDL]) and insulin resistance index but higher levels of prolactin, low triiodothyronine (T3) and free T3 (FT3) as well as higher incidence of anhedonia as compared with the unipolar group. Depressed patients with anhedonia had significantly higher LDL level than those without anhedonia. Depressed patients with suicidal thoughts had cholesterol and high-density lipoprotein cholesterol (HDL) level. The above-mentioned differences were confirmed by logistic regression analysis. Receiver operating characteristic curve (ROC) analysis showed that the area under the ROC curve (AUC) ranged from 0.546 to 0.685. CONCLUSION: Triglycerides, cholesterol, LDL, VLDL T3, FT3 levels were significantly different between unipolar and bipolar depressed patients, which might have the potential to be the markers for differential diagnosis. Patients with anhedonia had lower LDL level, while patients with suicidal thoughts had higher levels of cholesterol and HDL as compared with the corresponding control groups.

Longitudinally Measured Changes in Somnolence Severity With a Visual Analog Scale in a Randomized Lithium Versus Quetiapine-IR Study in Bipolar Disorder.

OBJECTIVE: The aim of this study was to use a visual analog scale (VAS) longitudinally measuring somnolence severity in patients with bipolar disorder. METHODS: A data set of patients with bipolar spectrum disorders who were randomized to lithium or quetiapine-IR for 16 weeks was used. The somnolence severity was measured with a VAS from 0 to 100 (VAS based), and somnolence frequency was recorded according to incident report (incidence based) at each visit. The rates of VAS-based and incidence-based somnolence and changes in somnolence severity from baseline to the end of study were compared between the lithium and quetiapine groups. Longitudinal changes in somnolence severity were analyzed with linear regression analysis. RESULTS: Of 42 patients randomized, only 3 scored 0 on the VAS at baseline. The rates of incidence-based and VAS-based somnolence were similar in the lithium and quetiapine-IR groups. The VAS change scores from baseline to each visit varied in both groups with significant decreases at weeks 6 and 12 in the quetiapine-IR group only. The decrease at week 6 in the quetiapine-IR group was significantly different from that in the lithium group. Patterns of changes in somnolence severity were inconsistent in both groups. A significant interaction between time course and the decrease in VAS scores was observed in the quetiapine-IR group, but not in the lithium group. CONCLUSIONS: Baseline somnolence was highly prevalent in patients with bipolar disorder. The change in somnolence severity was different between lithium-treated and quetiapine-treated patients. Quantifying somnolence longitudinally is important in clinical trials and practice.

Patterns of changes in bipolar depressive symptoms revealed by trajectory analysis among 482 patients with bipolar disorder.

INTRODUCTION: Depressive episodes are often prevalent among patients with bipolar disorder, but little is known regarding the differential patterns of development over time. We aimed to determine and characterize trajectories of depressive symptoms among adults with bipolar disorder during 6 months of systematic treatment. METHODS: The pragmatic clinical trial, Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (CHOICE), randomized 482 outpatients with bipolar disorder to lithium or quetiapine. Depressive symptoms were rated at up to 9 visits using the Montgomery-Asberg Depression Rating Scale (MADRS). Growth mixture modeling was utilized to identify trajectories and multinomial regression analysis estimated associations with potential predictors. RESULTS: Four distinct trajectories of depressive symptoms were identified. The responding class (60.3%) with a rapid reduction and subsequent low level; the partial-responding class (18.4%) with an initial reduction followed by an increase during the remaining weeks; the fluctuating class (11.6%) with a fluctuation in depressive symptoms; and the non-responding class (9.7%) with sustained moderate-severe depressive symptoms. Bipolar type I predicted membership of the non-responding class and randomization to quetiapine predicted membership of either the responding or the non-responding class. CONCLUSION: Approximately 30% experienced a partial or fluctuating course, and almost 10% had a chronic course with moderate-severe depression during 6 months. Patients diagnosed with bipolar type 1 had higher risk of being categorized into a class with a worse outcome. While no differences in average overall outcomes occurred between the lithium and quetiapine groups, trajectory analysis revealed that the lithium group had more variable courses.

A Pilot Study of the Effectiveness of Lithium Versus Quetiapine Immediate Release Monotherapy in Patients With Bipolar Spectrum Disorders.

OBJECTIVE: The aim of this study was to compare the effectiveness of lithium versus quetiapine immediate release (IR) monotherapy in patients with bipolar I, II, or subthreshold bipolar disorder at any phase. METHODS: Eligible patients were randomized to lithium or quetiapine IR for 16 weeks. The difference in the time to discontinuation from study due to "all causes" between lithium and quetiapine IR groups and changes from baseline to 8 and 16 weeks in depression, mania, anxiety, quality of life (QOL), metabolic profiles, and proinflammatory markers were compared. RESULTS: Of the 42 patients randomized to lithium (n = 18) and quetiapine IR (n = 24), the median time to discontinuation due to "all causes" was 6 weeks (95% confidence interval, 2-12 weeks) in the lithium group and 8 weeks (95% confidence interval, 6 weeks to not calculable) in the quetiapine IR group. The mean time to discontinuation due to "all causes" was 7.7 ± 1.1 weeks for lithium versus 8.4 ± 0.8 weeks for quetiapine IR (P = 0.54). There was no significant difference between lithium and quetiapine IR in changes in the severity of depression, mania/hypomania, anxiety, and QOL as a whole or only in patients with depressive index episode. The decrease in total cholesterol was significantly larger with lithium than with quetiapine IR (P = 0.05) as a whole, but not only in patients with depression index episode. There was no other significant difference in changes in metabolic panels and inflammatory markers between the 2 groups. CONCLUSIONS: The difference in effectiveness between lithium and quetiapine IR monotherapy in a real-world bipolar population was minimal. Large-sample studies are needed to support or refute this finding.

Treatment outcomes of acute bipolar depressive episode with psychosis.

BACKGROUND: The impact of psychosis on the treatment of bipolar depression is remarkably understudied. The primary aim of this study was to compare treatment outcomes of bipolar depressed individuals with and without psychosis. The secondary aim was to compare the effect of lithium and quetiapine, each with adjunctive personalized treatments (APTs), in the psychotic subgroup. METHODS: We assessed participants with DSM-IV bipolar depression included in a comparative effectiveness study of lithium and quetiapine with APTs (the Bipolar CHOICE study). Severity was assessed by the Bipolar Inventory of Symptoms Scale (BISS) and by the Clinical Global Impression Scale-Severity-Bipolar Version (CGI-S-BP). Mixed models were used to assess the course of symptom change, and Cox regression survival analysis was used to assess the time to remission. RESULTS: Psychotic features were present in 10.6% (n = 32) of the depressed participants (n = 303). Those with psychotic features had higher scores on the BISS before (75.2 ± 17.6 vs. 54.9 ± 16.3; P < .001) and after (37.2 ± 19.7 vs. 26.3 ± 18.0; P = .003) 6-month treatment. The CGI-S-BP yielded similar results. Participants with and without psychosis had similar course of symptom improvement and similar time to remission. There was no significant difference in the treatment outcomes of lithium (n = 11) and quetiapine (n = 21) among the psychotic subgroup. CONCLUSION: Bipolar depressive episodes with psychotic features are more severe, and compared to nonpsychotic depressions, present a similar course of improvement. Given the small number of participants presenting psychosis, the lack of statistically significant difference between lithium- and quetiapine-based treatment of psychotic bipolar depressive episodes needs replication in a larger sample.

Nonconvulsive Status Epilepticus After Electroconvulsive Therapy: A Review of Literature.

BACKGROUND: The clinical presentation and risk factors of nonconvulsive status epilepticus (NCSE) in the context of electroconvulsive therapy (ECT) are poorly understood, and guidance regarding diagnosis and management remains scarce. In this article, we identify case reports of ECT-induced NCSE from literature, and discuss the presentation, diagnosis, and management of these cases in the context of what is known about NCSE from the neurology literature. METHODS: A literature search on PubMed for case reports of NCSE after ECT. RESULTS: We identified 13 cases for this review. Diagnosis in all cases was based on clinical features and electroencephalogram (EEG) findings. Clinical presentation was altered mental status or unresponsiveness, with subtle motor phenomena in some cases. All cases had nonspecific risk factors that have been associated with prolonged seizures and convulsions, such as recent discontinuation/reduction of benzodiazepines or anticonvulsants, and concurrent use of antipsychotics and antidepressants. All patients were treated with either benzodiazepines or antiepileptic agents. Outcomes in these post-ECT NCSE cases were generally favorable. DISCUSSION: Although rare, post-ECT NCSE should be kept in mind by physicians when confusion or unresponsiveness develops and continues after ECT; multilead EEG is gold standard for diagnosis. An intravenous (IV) antiepileptic drug (AED) challenge can help clarify the diagnosis. Initial treatment is recommended with IV benzodiazepines, with a repeat dose if necessary. If seizures persist, IV AEDs are warranted. NCSE refractory to this treatment should be treated with a scheduled IV or oral AED. Serial multilead EEGs should be used to monitor resolution of symptoms. CONCLUSION: NCSE after ECT is a rare but recognizable clinical event. A high clinical suspicion and low threshold for EEG is necessary for prompt diagnosis.

Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression.

OBJECTIVE: Activation encompasses energy and activity and is a central feature of bipolar disorder. However, the impact of activation on treatment response of bipolar depression requires further exploration. The aims of this study were to assess the association of decreased activation and sustained remission in bipolar depression and test for factors that could affect this association. METHODS: We assessed participants with Diagnostic and Statistical Manual of Mental Disorders (4th ed) bipolar depression ( n = 303) included in a comparative effectiveness study of lithium- and quetiapine-based treatments (the Bipolar CHOICE study). Activation was evaluated using items from the Bipolar Inventory of Symptoms Scale. The selection of these items was based on a dimension of energy and interest symptoms associated with poorer treatment response in major depression. RESULTS: Decreased activation was associated with lower remission rates in the raw analyses and in a logistic regression model adjusted for baseline severity and subsyndromal manic symptoms (odds ratio = 0.899; p = 0.015). The manic features also predicted lower remission (odds ratio = 0.934; p < 0.001). Remission rates were similar in the two treatment groups. CONCLUSION: Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression. Patients with these features may require specific treatment approaches, but new studies are necessary to identify treatments that could improve outcomes in this population.

Subjective Versus Objective Weight Gain During Acute Treatment With Second-Generation Antipsychotics in Schizophrenia and Bipolar Disorder.

OBJECTIVES: To compare objective and subjective weight gain of second-generation antipsychotics in schizophrenia and bipolar disorder. METHODS: English-language literature published and cited in PubMed (MEDLINE) from January 1966 to December 2015 was searched with the keywords antipsychotic, atypical antipsychotic, or generic/brand name of atypical antipsychotics, and schizophrenia, bipolar disorder, bipolar mania, or bipolar depression, and safety, tolerability, weight gain, and randomized, placebo-controlled clinical trials. The absolute risk increases and the numbers needed to treat to harm (NNH) for ≥7% weight gain (objective) and self-report weight gain (subjective) were estimated. RESULTS: In schizophrenia, the NNH for 7% or greater weight gain ranged from 5 to 62, and the NNH for self-reported weight gain was from 11 to -224. The ratio of self-reported NNH to 7% or greater NNH was from 1.5 to 8.0. In bipolar mania, the NNH for 7% or greater weight gain ranged from 7 to -101 and the NNH for self-reported weight gain was from 13 to 84. The ratio of self-reported NNH to 7% or greater NNH was from 0.9 to 2.5. In bipolar depression, the NNH for 7% or greater weight gain ranged from 5 to 69, and the NNH for self-reported weight gain was from 8 to 17. The ratio of self-reported NNH to 7% or greater NNH was 1.2 to 1.6. CONCLUSIONS: Subjective reporting underestimated the risk of antipsychotic-related weight gain compared with objectively measured weight change. Self-awareness of antipsychotic-related weight gain was lower in patients with schizophrenia than in patients with bipolar disorder. Measuring weight change during antipsychotic treatment should be a routine practice.

Lamotrigine compared to placebo and other agents with antidepressant activity in patients with unipolar and bipolar depression: a comprehensive meta-analysis of efficacy and safety outcomes in short-term trials.

OBJECTIVES: To meta-analytically summarize lamotrigine's effectiveness and safety in unipolar and bipolar depression. METHODS: We conducted systematic PubMed and SCOPUS reviews (last search =10/01/2015) of randomized controlled trials comparing lamotrigine to placebo or other agents with antidepressant activity in unipolar or bipolar depression. We performed a random-effects meta-analysis of depression ratings, response, remission, and adverse effects calculating standardized mean difference (SMD) and risk ratio (RR) ±95% confidence intervals (CIs). RESULTS: Eighteen studies (n=2152, duration=9.83 weeks) in patients with unipolar depression (studies=4, n=187; monotherapy vs lithium=1, augmentation of antidepressants vs placebo=3) or bipolar depression (studies=14, n=1965; monotherapy vs placebo=5, monotherapy vs lithium or olanzapine+fluoxetine=2, augmentation of antidepressants vs placebo=1, augmentation of mood stabilizers vs placebo=3, augmentation of mood stabilizers vs trancylpromine, citalopram, or inositol=3) were meta-analyzed. Lamotrigine's efficacy for depressive symptoms did not differ significantly in monotherapy vs augmentation studies (vs. placebo: p=0.98, I2=0%; vs active agents: p=0.48, I2=0%) or in unipolar vs bipolar patients (vs placebo: p=0.60, I2=0%), allowing pooling of each placebo-controlled and active-controlled trials. Lamotrigine outperformed placebo regarding depressive symptoms (studies=11, n=713 vs n=696; SMD=-0.15, 95% CI=-0.27, -0.02, p=0.02, heterogeneity: p=0.24) and response (after removing one extreme outlier; RR=1.42, 95% CI=1.13-1.78; p=0.003, heterogeneity: p=0.08). Conversely, lamotrigine did not differ regarding efficacy on depressive symptoms, response, or remission from lithium, olanzapine+fluoxetine, citalopram, or inositol (studies=6, n=306 vs n=318, p-values=0.85-0.92). Adverse effects and all-cause/specific-cause discontinuation were similar across all comparisons. CONCLUSIONS: Lamotrigine was superior to placebo in improving unipolar and bipolar depressive symptoms, without causing more frequent adverse effects/discontinuations. Lamotrigine did not differ from lithium, olanzapine+fluoxetine, citalopram, or inositol.

The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample.

BACKGROUND: Bipolar disorder is a serious and common psychiatric disorder characterized by manic and depressive mood switches and a relapsing and remitting course. The cornerstone of clinical management is stabilization and prophylaxis using mood-stabilizing medications to reduce both manic and depressive symptoms. Lithium remains the gold standard of treatment with the strongest data for both efficacy and suicide prevention. However, many patients do not respond to this medication, and clinically there is a great need for tools to aid the clinician in selecting the correct treatment. Large genome wide association studies (GWAS) investigating retrospectively the effect of lithium response are in the pipeline; however, few large prospective studies on genetic predictors to of lithium response have yet been conducted. The purpose of this project is to identify genes that are associated with lithium response in a large prospective cohort of bipolar patients and to better understand the mechanism of action of lithium and the variation in the genome that influences clinical response. METHODS/DESIGN: This study is an 11-site prospective non-randomized open trial of lithium designed to ascertain a cohort of 700 subjects with bipolar I disorder who experience protocol-defined relapse prevention as a result of treatment with lithium monotherapy. All patients will be diagnosed using the Diagnostic Interview for Genetic Studies (DIGS) and will then enter a 2-year follow-up period on lithium monotherapy if and when they exhibit a score of 1 (normal, not ill), 2 (minimally ill) or 3 (mildly ill) on the Clinical Global Impressions of Severity Scale for Bipolar Disorder (CGI-S-BP Overall Bipolar Illness) for 4 of the 5 preceding weeks. Lithium will be titrated as clinically appropriate, not to exceed serum levels of 1.2 mEq/L. The sample will be evaluated longitudinally using a wide range of clinical scales, cognitive assessments and laboratory tests. On relapse, patients will be discontinued or crossed-over to treatment with valproic acid (VPA) or treatment as usual (TAU). Relapse is defined as a DSM-IV manic, major depressive or mixed episode or if the treating physician decides a change in medication is clinically necessary. The sample will be genotyped for GWAS. The outcome for lithium response will be analyzed as a time to event, where the event is defined as clinical relapse, using a Cox Proportional Hazards model. Positive single nucleotide polymorphisms (SNPs) from past genetic retrospective studies of lithium response, the Consortium on Lithium Genetics (ConLiGen), will be tested in this prospective study sample; a meta-analysis of these samples will then be performed. Finally, neurons will be derived from pluripotent stem cells from lithium responders and non-responders and tested in vivo for response to lithium by gene expression studies. SNPs in genes identified in these cellular studies will also be tested for association to response. DISCUSSION: Lithium is an extraordinarily important therapeutic drug in the clinical management of patients suffering from bipolar disorder. However, a significant proportion of patients, 30-40 %, fail to respond, and there is currently no method to identify the good lithium responders before initiation of treatment. Converging evidence suggests that genetic factors play a strong role in the variation of response to lithium, but only a few genes have been tested and the samples have largely been retrospective or quite small. The current study will collect an entirely unique sample of 700 patients with bipolar disorder to be stabilized on lithium monotherapy and followed for up to 2 years. This study will produce useful information to improve the understanding of the mechanism of action of lithium and will add to the development of a method to predict individual response to lithium, thereby accelerating recovery and reducing suffering and cost. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01272531 Registered: January 6, 2011.

Effect of Community-Based Social Skills Training and Tai-Chi Exercise on Outcomes in Patients with Chronic Schizophrenia: A Randomized, One-Year Study.

BACKGROUND: Antipsychotic drugs are limited in their ability to improve negative symptoms, quality of life, and medication adherence in patients with schizophrenia. The addition of nonpharmacological interventions like social skills training has a positive effect on medication adherence and decreases rehospitalization rates but is limited in improving patients' symptoms, aggressive behaviors, and quality of life. Aerobic exercise, especially Tai-chi, can potentially reduce psychopathological and negative symptoms, decrease aggressive behaviors, and improve quality of life. It is an ideal rehabilitation intervention for patients with schizophrenia. However, no study has investigated the effects of social skills training plus Tai-chi on outcomes among outpatients with schizophrenia. This study analyzes the effect of antipsychotics combined with community-based integrated interventions on outcomes of schizophrenia. METHODS: In this study, a 24-session social skills training plus Tai-chi was used in community settings among patients with schizophrenia. A total of 244 patients were randomly assigned to medication treatment alone (MTA group) or community-based integrated intervention (CBII group), which accepted social skills training plus Tai-chi in addition to medication treatment. Generalized linear mixed models were used to evaluate the intervention effect (group effect), intervention effect over time (time effect), and interaction effect (group × time effect). t tests were used to evaluate between-group differences on clinical variables. Multiple linear regression analysis was used to analyze the differences between the intervention at 12 months and baseline for the Positive and Negative Syndrome Scale (PANSS) negative symptoms and quality of life-social domain. RESULTS: Compared with the MTA group, the CBII group had lower scores on PANSS (F = 17.312, p < 0.001) and negative symptoms (F = 44.909, p < 0.001), a lower risk for aggressive behavior (F = 12.382, p < 0.001), and a greater improvement in adherence to medication (F = 12.391, p < 0.001) after 1 year of intervention. The changes in PANSS total scores, negative scores, and social domain of the World Health Organization Quality of Life Scale-Brief version (WHOQOL-BREF) from baseline to 12 months were significant between the two groups (PANSS total score: t = 4.839, p < 0.001; negative symptoms: t = 8.250, p < 0.001, and quality of life-social domain: t = -2.171, p = 0.031). Multiple linear regression analysis also showed that the intervention was significantly effective for changes from baseline to 12 months on PANSS total score (B = 0.804, p < 0.001), negative score (B = 0.709, p < 0.001), and social domain of quality of life (B = -0.673, p = 0.044). CONCLUSIONS: This study suggested that the community-based integrated intervention such as social skills training plus Tai-chi should be part of a rehabilitation effort for patients with schizophrenia in order to improve clinical symptoms, quality of life, and medication adherence.