Transdiagnostic comparisons of intellectual abilities and work outcome in patients with mental disorders: multicentre study.

BACKGROUND: Cognitive impairment is common in people with mental disorders, leading to transdiagnostic classification based on cognitive characteristics. However, few studies have used this approach for intellectual abilities and functional outcomes. AIMS: The present study aimed to classify people with mental disorders based on intellectual abilities and functional outcomes in a data-driven manner. METHOD: Seven hundred and forty-nine patients diagnosed with schizophrenia, bipolar disorder, major depression disorder or autism spectrum disorder and 1030 healthy control subjects were recruited from facilities in various regions of Japan. Two independent k-means cluster analyses were performed. First, intelligence variables (current estimated IQ, premorbid IQ, and IQ discrepancy) were included. Second, number of work hours per week was included instead of premorbid IQ. RESULTS: Four clusters were identified in the two analyses. These clusters were specifically characterised in terms of IQ discrepancy in the first cluster analysis, whereas the work variable was the most salient feature in the second cluster analysis. Distributions of clinical diagnoses in the two cluster analyses showed that all diagnoses were unevenly represented across the clusters. CONCLUSIONS: Intellectual abilities and work outcomes are effective classifiers in transdiagnostic approaches. The results of our study also suggest the importance of diagnosis-specific strategies to support functional recovery in people with mental disorders.

Pre-treatment plasma cytokine levels as potential predictors of short-term remission of depression.

OBJECTIVES: The response to antidepressants varies significantly among individuals and is difficult to predict before treatment. In this randomised control trial, we explored cytokines that correlate with the therapeutic effect of mirtazapine (MIR) and selective serotonin reuptake inhibitors (SSRIs) and whether they could be predictors of remission for each antidepressant. METHODS: Plasma cytokines, such as tumour necrosis factor-α (TNF-α), interleukin (IL)-1ß, IL-2, IL-4, IL-6, IL-8, and granulocyte-macrophage colony-stimulating factor (GM-CSF) were assayed in 95 participants before medication and assayed by the enzyme-linked immunosorbent assay. The Hamilton Rating Scale for Depression assessed depressive symptoms over 4 weeks. RESULTS: In the SSRI group, the baseline GM-CSF level was significantly higher in the remission group than in the non-remission group (p = .022). In the MIR group, the baseline level of TNF-α was significantly higher (p = .039) and IL-2 was lower (p = .032) in the remission group than in the non-remission group. In patients prescribed with MIR, the cut-off values of TNF-α (10.035 pg/mL) and IL-2 (1.170 pg/mL) calculated from the receiver operating characteristic curve suggested that the remission rate, which corresponds to a positive predictive value, could be increased from 31.3% to 60.0% and 50.0%, respectively. For those prescribed with SSRIs, the remission rate was 37.0% and using the cut-off value of GM-CSF (0.205 pg/mL), the remission rate could be almost doubled to 70%. CONCLUSIONS: Our study shows that pre-treatment plasma concentrations of TNF-α, IL-2, and GM-CSF may suggest the predictability of remission by SSRIs or MIR.

Pharmacological Treatment of Schizophrenia: Japanese Expert Consensus.

INTRODUCTION: Conventional treatment guidelines of schizophrenia do not necessarily provide solutions on clinically important issues. METHODS: A total of 141 certified psychiatrists of the Japanese Society of Clinical Neuropsychopharmacology evaluated treatment options regarding 19 clinically relevant situations in the treatment of schizophrenia with a 9-point scale (1="disagree" and 9="agree"). RESULTS: First-line antipsychotics varied depending on predominant symptoms: risperidone (mean±standard deviation score, 7.9±1.4), olanzapine (7.5±1.6), and aripiprazole (6.9±1.9) were more likely selected for positive symptoms; aripiprazole (7.6±1.6) for negative symptoms; aripiprazole (7.3±1.9), olanzapine (7.2±1.9), and quetiapine (6.9±1.9) for depression and anxiety; and olanzapine (7.9±1.5) and risperidone (7.5±1.5) for excitement and aggression. While only aripiprazole was categorized as a first-line treatment for relapse prevention (7.6±1.0) in patients without noticeable symptoms, aripiprazole (8.0±1.6) and brexpiprazole (6.9±2.3) were categorized as such for social integration. First-line treatments in patients who are vulnerable to extrapyramidal symptoms include quetiapine (7.5±2.0) and aripiprazole (6.9±2.1). DISCUSSION: These clinical recommendations represent the expert consensus on the use of a particular antipsychotic medication for a particular situation, filling a current gap in the literature.

Brain structural network alterations related to serum cortisol levels in drug-naïve, first-episode major depressive disorder patients: a source-based morphometric study.

Higher cortisol levels due to a hyperactive hypothalamic-pituitary-adrenal axis have been reported in patients with major depressive disorder (MDD). Increased cortisol levels change both the brain morphology and function in MDD patients. The multivariate source-based morphometry (SBM) technique has been applied to investigate neuroanatomical changes in some neuropsychiatric diseases, but not MDD. We aimed to examine the alterations in gray matter (GM) networks and their relationship with serum cortisol levels in first-episode, drug-naïve MDD patients using SBM. Forty-two patients with MDD and 39 controls were recruited via interviews. Morning serum cortisol levels were measured, and high-resolution T1-weighted imaging followed by SBM analysis was performed in all participants. The patients had significantly higher serum cortisol levels than the controls. We found two GM sources, which were significantly different between patients with MDD and controls (prefrontal network, p < .01; insula-temporal network, p < .01). Serum cortisol levels showed a statistically significant negative correlation with the loading coefficients of the prefrontal network (r = - 0.354, p = 0.02). In conclusion, increased serum cortisol levels were associated with reductions in the prefrontal network in the early stage of MDD, and SBM may be a useful approach for analyzing structural MRI data.

Effects of the number of hospitalizations on cognitive function in Japanese patients with stable schizophrenia.

BACKGROUND: The present study aimed to determine whether the number of hospitalizations in schizophrenia patients is associated with reduced cognitive performance, which may in turn imply that recurrences indirectly lead to a worsening in the disorder's progression. METHODS: Cognitive performance in stable schizophrenia patients was assessed using the Brief Assessment of Cognition in Schizophrenia, Japanese-language version, on 30 patients who had not experienced any hospitalizations (G0), 57 patients who had experienced only one hospitalization (G1), 47 patients with two hospitalizations (G2), and 59 patients with three or more hospitalizations (G3). RESULTS: Significant differences in motor function and attention and processing speed were found between patients with G0 and those with G1. Significant differences in working memory and verbal fluency were found between patients with G1 and those with G2. Patients with G3 performed even more poorly in comparison with those with G1, showing deficits in verbal memory, working memory, executive function, and composite score. The patients with G3 displayed a greater range of impairment and demonstrated deficits in executive function compared with patients with G2. Finally, G2 and G3 performed more poorly than G0, with deficits in the various cognitive areas. CONCLUSION: The number of hospitalizations predicted cognitive performance, which suggests that relapse or recurrence may have a long-term neuropsychological impact. Prospective follow-up studies must be completed to explore this effect further because better treatment adherence may have a protective effect on neurocognitive function.

The brain-derived neurotrophic factor Val66Met polymorphism increases segregation of structural correlation networks in healthy adult brains.

BACKGROUND: Although structural correlation network (SCN) analysis is an approach to evaluate brain networks, the neurobiological interpretation of SCNs is still problematic. Brain-derived neurotrophic factor (BDNF) is well-established as a representative protein related to neuronal differentiation, maturation, and survival. Since a valine-to-methionine substitution at codon 66 of the BDNF gene (BDNF Val66Met single nucleotide polymorphism (SNP)) is well-known to have effects on brain structure and function, we hypothesized that SCNs are affected by the BDNF Val66Met SNP. To gain insight into SCN analysis, we investigated potential differences between BDNF valine (Val) homozygotes and methionine (Met) carriers in the organization of their SCNs derived from inter-regional cortical thickness correlations. METHODS: Forty-nine healthy adult subjects (mean age = 41.1 years old) were divided into two groups according to their genotype (n: Val homozygotes = 16, Met carriers = 33). We obtained regional cortical thickness from their brain T1 weighted images. Based on the inter-regional cortical thickness correlations, we generated SCNs and used graph theoretical measures to assess differences between the two groups in terms of network integration, segregation, and modularity. RESULTS: The average local efficiency, a measure of network segregation, of BDNF Met carriers' network was significantly higher than that of the Val homozygotes' (permutation p-value = 0.002). Average shortest path lengths (a measure of integration), average local clustering coefficient (another measure of network segregation), small-worldness (a balance between integration and segregation), and modularity (a representative measure for modular architecture) were not significantly different between group (permutation p-values ≧ 0.01). DISCUSSION AND CONCLUSION: Our results suggest that the BDNF Val66Met polymorphism may potentially influence the pattern of brain regional morphometric (cortical thickness) correlations. Comparing networks derived from inter-regional cortical thickness correlations, Met carrier SCNs have denser connections with neighbors and are more distant from random networks than Val homozygote networks. Thus, it may be necessary to consider potential effects of BDNF gene mutations in SCN analyses. This is the first study to demonstrate a difference between Val homozygotes and Met carriers in brain SCNs.

An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study.

In a previous mouse study, social defeat stress-induced microglial activation released tumor necrosis factor-α (TNF-α), leading to neuronal changes in the prefrontal cortex (PFC) and behavioral changes (anxiety). We aimed to investigate the relationship between gray-matter (GM) structural networks and serum TNF-α in patients with major depression disorder (MDD) using multivariate source-based morphometry (SBM). Forty-five first-episode and drug-naïve MDD patients and 38 healthy subjects (HSs) were recruited. High-resolution T1-weighted imaging was performed and serum TNF-α levels were measured in all MDD patients and HSs. After acquiring GM structural networks using SBM, we compared the Z-transformed loading coefficients (Z-scores) between MDD patients and HSs, and investigated the relationship between the Z-scores and the serum TNF-α levels in MDD patients. The serum TNF-α levels in MDD patients were significantly higher than those in HSs. We extracted two independent GM structural networks (the prefrontal network and the insula-temporal network) with significant differences between MDD patients and HSs (-0.305 ± 0.85 and 0.253 ± 0.82; P = 0.03 in the prefrontal network, and -0.268 ± 0.86 and 0.467 ± 0.71; P < 0.01 in the insula-temporal network). The serum TNF-α levels were significantly correlated with the Z-scores in the prefrontal network after Bonferroni correction (r = -0.419, p < 0.01); however, the correlation in the insula-temporal network was not significant (r = -0.290, p = 0.11). Elevated serum TNF-α levels in the early stage of MDD were associated with alteration of the prefrontal network.

Pharmacological management of bipolar disorder: Japanese expert consensus.

OBJECTIVES: The aim of this study was to develop a consensus guideline by certified experts of the Japanese Society of Clinical Neuropsychopharmacology on the psychopharmacological treatment for bipolar disorders I and II (BP-I and BP-II), in order to fill the gap in the literature and provide more concrete guidance for challenging and controversial real-world situations. METHODS: Experts were asked to assess treatment options regarding 19 clinical situations of bipolar disorder with a nine-point Likert scale (one = "disagree" and nine = "agree"). According to the responses from 119 experts, the options were categorized into the first-, second-, and third-line treatments. RESULTS: For the treatment of BP-I, lithium monotherapy was categorized as a first-line treatment for manic episodes (mean ± standard deviation score, 7.0 ± 2.2), depressive episodes (7.1 ± 2.0), and the maintenance phase (7.8 ± 1.8). Combination therapy of lithium and an atypical antipsychotic was endorsed for manic episodes (7.7 ± 1.7), depressive episodes with (7.1 ± 2.0) and without mixed features (6.9 ± 2.2), and the maintenance phase (6.9 ± 2.1). Similarly, in BP-II, lithium monotherapy was categorized as a first-line treatment for hypomanic episodes (7.3 ± 2.2), depressive episodes (7.0 ± 2.2), and the maintenance phase (7.3 ± 2.3), while combination therapy of lithium and an atypical antipsychotic was recommended for hypomanic episodes (6.9 ± 2.4).No antipsychotic monotherapy or antidepressant treatment was categorized as a first-line treatment for any type of episode. CONCLUSIONS: These recommendations reflect the current evidence and represent the experts' consensus on using lithium for the treatment of bipolar disorder. Clinicians should consider the effectiveness and adverse effects of antipsychotic and antidepressant medications for the treatment of bipolar disorder.

Whole-brain structural covariance network abnormality in first-episode and drug-naïve major depressive disorder.

There has been a growing interest in the abnormality of networks across the brain in major depressive disorder (MDD). We aimed to investigate the structural covariance networks in patients with first-episode and drug-naïve MDD using structural imaging. A total of 77 patients with first-episode and drug-naïve MDD and 79 healthy subjects (HS) were recruited, from whom high-resolution T1-weighted images were analysed. Incident component analysis was used to calculate the brain networks based on grey matter volume covariance. There were significant differences in salience network, medial temporal lobe network, default mode network and central executive network between MDD and HS (p < 0.05). Further, the disturbance of medial temporal lobe network was significantly correlated with the severity of depressive symptoms (p < 0.05). In conclusion, we found a novel abnormality in the brain network in the medial temporal lobe primarily involving the hippocampus and parahippocampal gyrus in patients with first-episode and treatment-naïve MDD.

Structural Changes in Hippocampal Subfields in Patients with Continuous Remission of Drug-Naive Major Depressive Disorder.

OBJECTIVE: Hippocampal volume is reduced in patients with major depressive disorder (MDD) compared with healthy controls. The hippocampus is a limbic structure that has a critical role in MDD. The aim of the present study was to investigate the changes in the volume of the hippocampus and its subfields in MDD patients who responded to antidepressants and subsequently were in continuous remission. SUBJECTS AND METHODS: Eighteen patients who met the following criteria were enrolled in the present study: the DSM-IV-TR criteria for MDD, drug-naïve at least 8 weeks or more, scores on the 17-items of Hamilton Rating Scale for Depression (HAMD) of 14 points or more, and antidepressant treatment response within 8 weeks and continuous remission for at least 6 months. All participants underwent T1-weighted structural MRI and were treated with antidepressants for more than 8 weeks. We compared the volumes of the hippocampus, including its subfields, in responders at baseline to the volumes at 6 months. The volumes of the whole hippocampus and the hippocampal subfields were measured using FreeSurfer v6.0. RESULTS: The volumes of the left cornu Ammonis (CA) 3 (p = 0.016) and the granule cell layer of the dentate gyrus (GC-DG) region (p = 0.021) were significantly increased after 6 months of treatment compared with those at baseline. CONCLUSIONS: Increases in volume was observed in MDD patients who were in remission for at least 6 months.

Pharmacological management of depression: Japanese expert consensus.

BACKGROUND: Clinically relevant issues in the real-world treatment of depression have not always been captured by conventional treatment guidelines. METHODS: Certified psychiatrists of the Japanese Society of Clinical Neuropsychopharmacology were asked to evaluate treatment options regarding 23 clinical situations in the treatment of depression using a 9-point Likert scale (1="disagree" and 9="agree"). According to the responses of 114 experts, the options were categorized into first-, second-, and third-line treatments. RESULTS: First-line antidepressants varied depending on predominant symptoms: escitalopram (mean ± standard deviation score, 7.8 ± 1.7) and sertraline (7.3 ± 1.7) were likely selected for anxiety; duloxetine (7.6 ± 1.9) and venlafaxine (7.2 ± 2.1) for loss of interest; mirtazapine for insomnia (8.2 ± 1.6), loss of appetite (7.9 ± 1.9), agitation and severe irritation (7.4 ± 2.0), and suicidal ideation (7.5 ± 1.9). While first-line treatment was switched to either an SNRI (7.7 ± 1.9) or mirtazapine (7.4 ± 2.0) in the case of non-response to an SSRI, switching to mirtazapine (7.1 ± 2.2) was recommended in the case of non-response to an SNRI, and vice versa (switching to an SNRI (7.0 ± 2.0) in the case of non-response to mirtazapine). Augmentation with aripiprazole was considered the first-line treatment for partial response to an SSRI (7.1 ± 2.3) or SNRI (7.0 ± 2.5). LIMITATIONS: The evidence level of expert consensus is considered low. All included experts were Japanese. CONCLUSIONS: Recommendations made by experts in the field are useful and can supplement guidelines and informed decision making in real-world clinical practice. We suggest that pharmacological strategies for depression be flexible and that each patient's situational needs as well as the pharmacotherapeutic profile of medications be considered.

Plasma levels of 3-methoxy-4-hydroxyphenylglycol levels, number of hospitalization and cognitive function predicts the cognitive effect of atypical antipsychotic monotherapy in patients with acute schizophrenia.

Although the effects of atypical antipsychotics with regard to improving neurocognitive function are not sufficiently high. The present study applied an atypical antipsychotic monotherapy for patients with acute schizophrenia to (1) examine the percentage of patients who respond well to this treatment, (2) explore the factors that predict response (e.g. the improvement of neurocognition), and (3) identify the factors associated with improved neurocognitive function. We studied 40 patients with acute schizophrenia who had received atypical antipsychotic monotherapy for 24 weeks. The following parameters were evaluated at baseline and 24 weeks after the start of treatment: psychotic symptoms, neurocognitive function, and blood biological markers including homovanillic acid, 3-methoxy-4-hydroxyphenylglycol, and brain-derived neurotrophic factor. Marked improvements in neurocognitive function were noted in 7.5%-25% of patients. The factors that significantly predicted neurocognitive function improvement were the frequency of hospitalization (verbal memory and verbal fluency), 3-methoxy-4-hydroxyphenylglycol (verbal fluency and executive function), and verbal memory (working memory). Approximately 20% of the patients showed good response to treatment with antipsychotics. Frequency of hospitalization, 3-methoxy-4-hydroxyphenylglycol level, and other parameters predicted responsiveness to these drug therapies. Thus, it might be useful to apply these factors to predict responses to treatment.

A single-nucleotide polymorphism influences brain morphology in drug-naïve patients with major depressive disorder.

OBJECTIVE: Recently, a genome-wide association study successfully identified genetic variants associated with major depressive disorder (MDD). The study identified 17 independent single-nucleotide polymorphisms (SNPs) significantly associated with diagnosis of MDD. These SNPs were predicted to be enriched in genes that are expressed in the central nervous system and function in transcriptional regulation associated with neurodevelopment. The study aimed to investigate associations between 17 SNPs and brain morphometry using magnetic resonance imaging (MRI) in drug-naïve patients with MDD and healthy controls (HCs). METHODS: Forty-seven patients with MDD and 42 HCs were included. All participants underwent T1-weighted structural MRI and genotyping. The genotype-diagnosis interactions associated with regional cortical thicknesses were evaluated using voxel-based morphometry for the 17 SNPs. RESULTS: Regarding rs301806, an SNP in the RERE genomic regions, we found a significant difference in a genotype effect in the right-lateral orbitofrontal and postcentral lobes between diagnosis groups. After testing every possible diagnostic comparison, the genotype-diagnosis interaction in these areas revealed that the cortical thickness reductions in the MDD group relative to those in the HC group were significantly larger in T/T individuals than in C-carrier ones. For the other SNPs, no brain area was noted where a genotype effect significantly differed between the two groups. CONCLUSIONS: We found that a RERE gene SNP was associated with cortical thickness reductions in the right-lateral orbitofrontal and postcentral lobes in drug-naïve patients with MDD. The effects of RERE gene polymorphism and gene-environment interactions may exist in brain structures of patients with MDD.

Validity and Responsiveness of the Work Functioning Impairment Scale in Workers With Depression.

OBJECTIVE: We aimed to evaluate the convergent validity and responsiveness of the work functioning impairment scale (WFun) in patients with depression, a major disease causing presenteeism. METHODS: Baseline testing was performed using WFun, the Quick Inventory of Depressive Symptomatology (QIDS), 17-item Hamilton Depression Rating Scale (HAM-D), and Montgomery-Asberg Depression Rating Scale (MADRS) in 37 outpatients with major depression or bipolar disorder who were working. The QIDS and WFun scores were measured several times for responsiveness evaluation. RESULTS: Regression analyses showed significant positive correlations between baseline WFun and HAM-D and MADRS scores. Changes in WFun and QIDS scores were positively correlated for QIDS scores. CONCLUSIONS: Our results suggest that WFun is convergently valid and responsive for determining the clinical severity of depression in workers treated as psychiatric outpatients.

Risk factors for further sick leave among Japanese workers returning to work after an episode of major depressive disorder: a prospective follow-up study over 1 year.

OBJECTIVES: We aimed to investigate the risk factors for further sick leave episodes among Japanese workers returning to work after time off with a major depressive disorder. DESIGN: A prospective study with 1 year of follow-up. PARTICIPANTS: We recruited 103 workers who had returned to work after taking sick leave with a major depressive disorder. Adjusted HRs with 95% CIs were calculated using Cox proportional hazard models to examine the risk of further sick leave. RESULTS: In the adjusted analysis, we show that Social Adaptation Self-evaluation Scale scores (HR 0.95; p=0.019), 3-back correct response rate (N-back test) (HR 0.97; p<0.001) and benzodiazepine dosage (diazepam equivalent) (HR1.07; p=0.014) were associated with further episodes of sick leave. CONCLUSIONS: Poorer social and cognitive functioning, together with higher diazepam dosages, were associated with an increased likelihood of additional sick leave.

COMT polymorphism regulates the hippocampal subfield volumes in first-episode, drug-naive patients with major depressive disorder.

Purpose: Compared with healthy subjects (HS), patients with major depressive disorder (MDD) exhibit volume differences that affect the volume changes in several areas such as the limbic, cortical, subcortical, and white matter. Catechol-O-methyltransferase (COMT) is a methylation enzyme that catalyzes endogenous catecholamines. The Val158Met polymorphism of COMT has been reported to affect the dopamine (DA) levels, which plays an important role in psychiatric diseases. However, the relationships among both DA levels, COMT genotype, and brain morphology are complicated and controversial. In previous studies that investigated the hippocampal subfields, the greatest brain abnormalities in MDD patients were observed in Cornu Ammonis (CA)1 and the subiculum, followed by that in CA2-3. We have prospectively demonstrated the relationship between the single-nucleotide polymorphism of the Val158Met COMT gene (rs4680) and the hippocampal subfields in drug-naive MDD patients. Patients and methods: In this study, we compared 27 MDD patients and 42 HS who were divided into groups based on their COMT genotype. The effects of the diagnosis, genotype, and genotype-diagnosis interaction related to CA1 and the subiculum volumes, as well as the whole-brain cortical thickness, were evaluated by performing a FreeSurfer statistical analysis of high-resolution magnetic resonance imaging (MRI) findings. Results: The results revealed that there was a statistically significant interaction between the effects of diagnosis and genotype on the right subiculum (a component of the hippocampus). Conclusion: This Val158Met COMT polymorphism may influence the subiculum volume in drug-naive, first-episode MDD patients.

Genetic effects on white matter integrity in drug-naive patients with major depressive disorder: a diffusion tensor imaging study of 17 genetic loci associated with depressive symptoms.

BACKGROUND: A genome-wide association study using megadata identified 17 single-nucleotide polymorphisms (SNPs) in candidate genes for major depressive disorder (MDD). These MDD susceptibility polymorphisms may affect white matter (WM) integrity. This study aimed to investigate the relationship between WM alterations and 17 SNPs in candidate genes for MDD in the first depressive episode of drug-naive MDD patients using a tract-based spatial statistics (TBSS) method. METHODS: Thirty-five drug-naive MDD patients with a first depressive episode and 47 age-and sex-matched healthy subjects underwent diffusion tensor imaging scans and genotyping. The genotype-diagnosis interactions related to WM integrity were evaluated using TBSS for the 17 SNPs. RESULTS: For the anterior thalamic radiation, cingulum, corticospinal tract, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, uncinate fasciculus, forceps major, and forceps minor, the genotype effect significantly differed between diagnosis groups (P<0.05, family-wise error corrected) in only one SNP, rs301806, in the arginine-glutamic acid dipeptide (RE) repeats (RERE) gene. CONCLUSION: The RERE polymorphism was associated with WM alterations in first-episode and drug-naive MDD patients, which may be at least partially related to the manifestation of MDD. Future studies are needed to explore the gene-environment interactions with regard to individual WM integrity.

Efficacy, Tolerability, and Safety of Blonanserin in Schizophrenia: An Updated and Extended Systematic Review and Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: We conducted an updated systematic review and meta-analysis of randomized controlled trials (RCTs) comparing blonanserin with other antipsychotics (amisulpride, aripiprazole, haloperidol, paliperidone, and risperidone). METHODS: Weighted mean difference (WMD), risk ratio, and number needed to harm (NNH) with 95% confidence intervals (95% CIs) were calculated using random-effects model. RESULTS: Ten RCTs (n=1521) were included in this study. Blonanserin was superior to aripiprazole in improvement of Positive and Negative Syndrome Scale total scores (WMD=-10.62, 95% CI=-17.67 to -3.560, p=0.003). Blonanserin was associated with a higher incidence of all-cause discontinuation (RR=1.373, 95% CI=1.088-1.734, p=0.008, NNH=11), akathisia, extrapyramidal disorder, and agitation/excitement and a lower risk of hyperprolactinemia compared with risperidone + paliperidone. DISCUSSION: The current meta-analytic study did not update the comparison of blonanserin vs. haloperidol because there were no new RCTs. Our results suggest that the efficacy of blonanserin for schizophrenia is comparable with that of other antipsychotics, and blonanserin seems to be well tolerated.

Relationship between VEGF-related gene polymorphisms and brain morphology in treatment-naïve patients with first-episode major depressive disorder.

Vascular endothelial growth factor (VEGF) is involved in the development of major depressive disorder (MDD). Recently, a genome-wide association study has revealed that four VEGF-related single nucleotide polymorphisms (SNPs) (i.e., rs4416670, rs6921438, rs6993770 and rs10738760) were independently associated with circulating VEGF levels. The current study investigated the relationship between brain volume and these four SNPs in first-episode drug-naïve MDD patients. A total of 38 first-episode drug-naïve MDD patients and 39 healthy subjects (HS) were recruited and underwent high-resolution T1-weighted imaging. Blood samples were collected from all the participants for serum VEGF assays and VEGF-related SNPs genotyping. Genotype-diagnosis interactions related to whole-brain cortical thickness and hippocampal subfield volumes were evaluated for the four SNPs. The results revealed a genotype-diagnosis interaction only for rs6921438 (i.e., the MDD patients and HS with the G/G genotype versus the MDD patients and HS with A-carrier genotype) in the subiculum of the left hippocampus (p < 0.05), and not the other SNPs. There was a volume reduction in the left subiculum of G/G genotype patients compared with the other groups. The "hypochondriasis" scores of the HAMD-17 scale were significantly higher in the G/G genotype patients than the A-carrier genotype patients. The association was observed between VEGF-related SNP rs6921438 and subiculum atrophy in first-episode drug-naïve MDD patients.