Brain-derived neurotrophic factor (BDNF) gene may be involved in the pathogenesis of schizophrenia by virtue of its effects on neurotransmitter systems that are dysregulated in psychiatric disorder. The common functional polymorphism Val66Met (or rs6265) within the BDNF gene has been reported to be associated with age of onset in schizophrenia. We investigated the relationship between BDNF polymorphisms rs6265 and rs11030101 and early-onset schizophrenia in the Chinese population.

The tag single nucleotide polymorphisms (tag SNPs) rs11030101 and rs6265 in the BDNF gene were genotyped in 360 early-onset schizophrenics and 399 controls subjects. Single nucleotide polymorphism association and haplotype analysis were performed.

There were significant differences in allele and genotype frequencies between patient and normal control subjects for rs11030101 (χ2 = 5.130407, df = 1, p = 0.023553; χ2 = 6.121, df = 2, p = 0.047). No statistically significant differences were found in allele or genotype between patient and normal control subjects for rs6265. Stratification of the study by gender of the samples yielded significant evidence for an association with the polymorphisms rs11030101 in female population (genotype-wise: χ2 = 7.758, df = 2, p = 0.021).

Our study indicates that the BDNF play major roles in the susceptibility to early-onset and female schizophrenia in the Chinese population.

Previously the GABA(A) receptor beta-2 subunit gene GABRB2 was found to be associated with schizophrenia (SCZ). for SNPs and haplotypes in GRBRB2, the associations with bipolar disorder (BPD), the functional consequences on GABRB2 expression and their relationship to demographic and clinical characteristics in BPD and SCZ remain to be elucidated.

Case-control analysis was performed for association study of GABRB2 with BPD, and its mRNA expression in postmortem BPD brains was examined using quantitative real-time PCR. Quantitative trait analysis was subsequently employed to assess the covariate effects of demographic and clinical characteristics on genotypic correlation of GABRB2 expression in SCZ and BPD.

Significant association of GABRB2 with BPD and reduction in GABRB2 mRNA expression in BPD brains were observed in the present study. Duration of illness (DOI) was found to be a significant covariate for the correlation of the disease-associated SNPs rs1816071, rs1816072 and rs187269 with GABRB2 expression in both SCZ and BPD. for individuals with homozygous major genotypes of these SNPs, while GABRB2 expression increased with age in the controls, it decreased with DOI and age in SCZ, and with DOI in BPD. with age of onset as covariate, these three SNPs were significantly correlated with antipsychotic dosage in SCZ.

These results have thus revealed correlations of GABRB2 SNPs and expression not only with the occurrence of SCZ and BPD, but also with the clinical characteristics of patients, therefore providing support for a shared etiological role played by the gene in both diseases.

Increasing evidence supports that 5HTTLPR polymorphism of the serotonin transporter gene(5HTTLPR) might associate to bipolar disorder and affective temperaments as measured by TEMPS-A. But the results are discrepant, furthermore, there are no data from Chinese population.

The present study was designed to investigate association between 5HTTLPR and bipolar disorder and affective temperaments of patients with bipolar disorder in the specific Chinese population and add new evidence to the field.

There hundred and five patients with bipolar disorder and 272 normal controls were included in the present case-control study⌧Temperament Evaluation of Memphis, Pisa, Paris and San Diego -autoquestionnaire version (TEMPS-A) in Chinese was used to assess affective temperament. Chi-square test, T test, Nonparametric test and ANOVA were employed to explore association between 5HTTLPR polymorphism and bipolar disorder and affective temperament of patients with bipolar disorder.

5-HTTLPR L/S polymorphism was associated with bipolar disorder in female (genotype χ2 = 6.769⌧P = 0.034⌧allele χ2 = 6.028⌧P = 0.014) and the S allele was associated with anxious temperament (t = 8.248⌧P = 0.005) in patients with bipolar disorder. the LA allele of 5-HTTLPR rs25531 A/G polymorphism was associated with hyperthymic temperament in patients with bipolar disorder (Z = −2.205⌧P = 0.027).

5-HTTLPR might have an effect on the prevalence of bipolar disorder in female and regulate affective temperaments of patients with bipolar disorder in some degree in Chinese population.

rs10761482 in ANK3 gene showed a significant association with schizophrenia in a genome-wide association study (GWAS). Another marker rs10994336 in ANK3 with the risk of bipolar disorder (BD) which might have more genetic overlap with schizophrenia, had been reported in two meta-analyses of GWAS. In this study, we investigated the association between ANK3 polymorphisms and the susceptibility of schizophrenia in Chinese Han population.

Population-based (schizophrenia patients = 516 and controls = 400) and family based (trios of early onset schizophrenia= 81) study was performed through genotyping the most promising makers rs10761482, rs10994336, and two missenses rs3808942 and rs3808943 near promoter of ANK3. Particularly, we conducted an association analysis for the combined case-control and family samples.

Our population-based study replicated the association between rs10761482 (P = 0.0268 with C allele) and schizophrenia, and detected a novel association with rs10994336 (P = 4.0 × 10−4 with T allele). Haplotype analysis revealed the higher frequencies of C-T, and T-C (rs10761482–10994336) in the cases than controls (P = 0.0032 and P = 0.0012, respectively). In the family study, the C allele of rs10761482 (P = 0.0940) and T allele of rs10994336 (P = 0.0832) were slightly over-transmitted, and T-C was significantly associated with schizophrenia (P = 0.0304). The results from the combined samples analysis were consistent with independent analysis. rs10761482, rs10994336, C-T, and T-C were significantly associated with schizophrenia (P = 3.3 × 10−6∼3.9 × 10−5), whilst rs3808942 and rs3808943 did not reach normal significance.

Our data strongly support ANK3 gene is a schizophrenia susceptibility gene, and also provide further evidence for the shared susceptibility loci between schizophrenia and BD.

rs10761482 in ANK3 gene showed a significant association with schizophrenia in a genome-wide association study (GWAS). Another marker rs10994336 in ANK3 with the risk of bipolar disorder (BD) which might have more genetic overlap with schizophrenia, had been reported in two meta-analyses of GWAS.

In this study, we investigated the association between ANK3 polymorphisms and the susceptibility of schizophrenia in Chinese Han population.

Population-based (schizophrenia patients = 516 and controls = 400) and family based (trios of early onset schizophrenia= 81) study was performed through genotyping the most promising makers rs10761482, rs10994336, and two missenses rs3808942 and rs3808943 near promoter of ANK3. Particularly, we conducted an association analysis for the combined case-control and family samples.

Our population-based study replicated the association between rs10761482 (P = 0.0268 with C allele) and schizophrenia, and detected a novel association with rs10994336 (P = 4.0 × 10−4 with T allele). Haplotype analysis revealed the higher frequencies of C-T, and T-C (rs10761482–10994336) in the cases than controls (P = 0.0032 and P = 0.0012, respectively). In the family study, the C allele of rs10761482 (P = 0.0940) and T allele of rs10994336 (P = 0.0832) were slightly over-transmitted, and T-C was significantly associated with schizophrenia (P = 0.0304). The results from the combined samples analysis were consistent with independent analysis. rs10761482, rs10994336, C-T, and T-C were significantly associated with schizophrenia (P = 3.3 × 10−6∼3.9 × 10−5), whilst rs3808942 and rs3808943 did not reach normal significance.

Our data strongly support ANK3 gene is a schizophrenia susceptibility gene, and also provide further evidence for the shared susceptibility loci between schizophrenia and BD.

Previous studies have shown that the polymorphisms in COMT gene and environmental factors affect the risk of drug dependence, but there’s no research shown in relapse of heroin dependence, and the mechanism underlying remains uncertain.

Examine the interaction between allelic variants of the catechol-O- methlytransferase (COMT) gene and environmental factors (encountering drug-related environmental situations, social support) in contribution to relapse in heroin dependence.

Construct the gene-environment interaction model in order to understand the mechanism for relapse in heroin dependence.

The 249 heroin dependent subjects who followed up at one year after abstinent by using the natural history interview (NHI), social support rateing Scale (SSRS), and other questionnaires were genotyped for eight tagging single nucleotide polymorphisms (SNP) on the COMT gene. General Multifactor Dimensionality Reduction (GMDR) was used to construct the gene-environment interaction model which impacting relapse in heroin dependence.

The relapse group had higher frequencies of encountering drug-related environment (EDE) and G allele and GG genotype frequencies on COMT gene rs4680 locus and less Social Support Scale scores than that in the abstinence group. Logistic regression analysis showed that encountering more drug-related environment and GG genotype carriers were the risk factors for relapse in heroin dependence. GMDR analysis showed that the COMT gene was interact with the frequency of EDE and social support level to impact the relapse in heroin dependence.

Gene-environment interaction between COMT gene and the frequency of EDE and social support were related to heroin dependence relapse.

Bioinformatic investigations indicate that has-mir-206 (microRNA-206, miRNA-206) could regulate BDNF protein synthesis by interfering with BDNF mRNA translation, which is disrupted in bipolar disorder (BPD).

This study is to investigate whether miRNA-206 gene variants were associated with BPD susceptibility in a Han Chinese population.

342 patients who met DSM-IV criteria for bipolar disorder type I (BPD-I) or type II (BPD-II) and 386 matched health controls were enrolled into this study. the miRNA-206 gene and +/-500bp were selected for gene sequencing. for the case-control genetic comparisons, differences in the genotype and allele distributions between patients and controls were examined using Pearson's χ2 test.

Gene sequencing showed that there are two polymorphisms rs16882131(C/T) and rs62408583 (A/C) located at the upstream of miRNA-206 gene, which are complete linkage disequilibrium. the association analysis showed that there was no significant difference for genotype frequencies (χ2 = 2.075, df = 2, P = 0.354) or for allele frequencies (χ2 = 0.041, df = 1, P = 0.839) between BPD patients and controls. Similarly, no significant difference was found between BPD-I patients and controls (genotype χ2 = 1.411, df = 2, P = 0.494; allele χ2 = 0.380, df = 1, P = 0.538). However, there was significant difference between BPD-II patients and controls (genotype χ2 = 7.933, df = 2, P = 0.019; allele χ2 = 5.403, df = 1, P = 0.020).

Our findings do not support that BPD susceptibility was associated with miRNA-206 gene polymorphisms in the studied Han Chinese population. the association between miRNA-206 gene polymorphisms and bipolar disorder type II is needed to be carefully interpreted. Further studies are necessary to elucidate the involvement miRNA-206 in the pathophysiology of BPD.

Clinical studies and practical use of amisulpride in Chinese population were rarely reported.

To evaluate the efficacy and safety profile of amisulpride in Chinese patients with schizophrenia.

To assess the change of the Positive and Negative Symptom Scale (PANSS) and adverse events emerged during the study.

In this national, prospective, open-label, multicenter, single arm study, 316 patients with ICD-10 diagnosis schizophrenia were treated with amisulpride for 8 weeks. The PANSS was primarily used for efficacy evaluation.

Of the 295 patients included for efficacy analysis, 66.8% reached a decrease of ≥50% PANSS total score at week 8. The mean (SD) baseline PANSS total score was 89.1 (13.7), as the study proceeded, the score decreased to 73.0 (17.7), 60.7 (17.6) and 51.0 (14.6) at week 2, 4 and 8 visits, respectively. The mean (SD) PANSS positive subscale score decreased from 23.8 (5.7) at baseline to 18.1 (6.2) at week 2, 14.1 (5.5) at week 4, and 11.1 (4.1) at week 8. The mean (SD) PANSS negative subscale score decreased from 23.7 (7.9) at baseline to 20.7 (8.0) at week 2, 17.8 (7.8) at week 4, and 15.2 (7.0) at week 8. All above measures were significantly improved at each post-baseline visit compared with baseline (P>0.05). Extrapyramidal disorder (25.9%) and blood prolactin increase (25.9%) were the most frequently reported adverse events, but the incidence of endocrine disorders (8.2%) was relatively low.

Amisulpride had both good clinical efficacy and safety profile for Chinese schizophrenic patients.

Increasing evidence indicates that major depressive disorder (MDD) is associated with cognitive as well as mood disturbances.

To evaluate cognitive function and white matter structure, resting-state brain function in first-episode, treatmentnaive patients with MDD.

To explore brain structure and function mechanisms of cognitive impairment in MDD.

46 Han Chinese MDD patients aged 18–45 year and 46 controls were assessed by a series of validated test procedures.Then, 30 patients and 30 controls were obtained by MRI scan.White matter abnormalities evaluated using diffusion tensor imaging (DTI) were analyzed using tract based spatial statistics (TBSS) and resting-state brain function was evaluated using regional homogeneity (ReHo) analysis.

Cognitive impairment in patients with MDD was demonstrated by reduced accuracy in the Wisconsin Card Sorting test (WSCT) and to a lesser extent the Continuous Performance test (CPT) and Trail Making tests (TMT). White matter abnormalities found in the left cerebellum, and resting-state abnormalities present in the left inferior parietal gyrus, left anterior cingulate nucleus and left hippocampal gyrus were associated with impaired performance in the WSCT and CPT tests. We also showed that poor WSCT performance was associated with increased interconnectivity between the left ventral anterior cingulate nucleus and the medial frontal lobe areas.

The present study indicates cognitive disturbances in patients with MDD are associated with white matter and resting-state changes and altered interconnections in specific brain areas.

We investigated the relationship between tyrosine hydroxylase (TH) polymorphisms rs11042978, rs2070762 and rs6356 and early-onset schizophrenia in the Chinese Han population.

The tag single nucleotide polymorphisms (tag SNPs) rs11042978, rs2070762 and rs6356 in the TH gene were genotyped in 315 early-onset schizophrenics (188 male patients,127 female patients)and 391 controls subjects (219 males,172 females). Single nucleotide polymorphism association and haplotype analysis were performed.

There were significant differences in allele and genotype frequencies between patients and normal control subjects for rs11042978 allele (χ2 = 4.47, df = 1, P = 0.034) and genotype (χ2 = 6.35, df = 2, P = 0.042). No statistically significant differences were found in allele or genotype between patients and normal control subjects for rs2070762 and rs6356. The haplotype analysis revealed that there were significant differences between patients and normal control subjects for haplotypes GAC (χ2 = 6.35, P = 0.012).

Our study indicates that the TH gene may play major roles in the susceptibility to early-onset schizophrenia in the Chinese population.

Life events and accompanying psychological and behavioral reactions frequently have an impact upon people's daily lives and are believed to predispose them to disease. Psychological stressors impact many physiological and pathological disease outcomes, including mental illness. Positive social interactions have in turn been shown to exert powerful beneficial effects on health outcomes and longevity.

The Objective of this study was to analyze the relationships of Psychological Distress, Social Support, and Mental Fitness among patients of mental health services.

This article aims to discuss the evidence supporting the mediating effect of social support between psychological stress and mental health.

This study was performed on patients who visited the mental health services in Daejeon from October to December 2011. In total, 395 patients were evaluated with Mental Fitness Scale, Kessler Psychological Distress Scale(KPDS), and Multidimensional Scale of Perceived Social Support(MSPSS).

Correlations among variables of psychological distress and social support on subordinate variable of mental fitness of patients were significant. The result of the regression analysis, psychological distress and social support have a positively significant influence on mental fitness of patients. social support showed mediating effects between psychological distress and mental fitness.

These results suggest that health care providers ought to seek social support for patients, in order to provide positive mental fitness of patients.

The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among patients with SSD, major depressive disorder (MDD) and healthy controls.

Gene expression profiling was conducted in peripheral blood leucocytes from drug-free first-episode subjects with SSD, MDD, and matched controls (8 subjects in each group) using global mRNA expression arrays. Support vector machines (SVMs) were utilized for training and testing on candidate signature expression profiles from signature selection step.

We identified SSD and MDD gene signatures from blood-based gene expression profile and build a SSD- MDD disorder model with higher predictive power. Firstly, we identified 63 differentially expressed SSD signatures in contrast to control (P <= 5.0E-4) and 30 differentially expressed MDD signatures in contrast to control, respectively. Then, 123 gene signatures were identified with significantly differential expression level between SSD and MDD. Secondly, in order to conduct priority selection for biomarkers for SSD and MDD together, we selected top gene signatures from each group of pair-wise comparison results, and merged the signatures together to generate better profiles used for clearly classify SSD and MDD sets in the same time. In details, we tried different combination of signatures from the three pair-wise compartmental results and finally determined 48 gene expression signatures with 100% accuracy.

Blood cell-derived RNA may have significant value for performing diagnostic functions and identifying disease biomarkers in SSD and MDD. These 48 gene model could classify SSD, MDD, and healthy controls.