Yiru Fang

Association Between BDNF Val66Met Polymorphism and Cognitive Performance in Antipsychotic-Naïve Patients with Schizophrenia

Cognitive impairment is one of the core symptoms in schizophrenia, which reflects the neurodevelopmental deficits in the etiology of this disease. Brain-derived neurotrophic factor (BDNF) plays an important role in various neurodevelopmental processes. Growing evidence has shown that BDNF may be involved in the etiology of schizophrenia. The aim of this study was to examine the association of the BDNF Val66Met polymorphism with cognition in patients with schizophrenia. Various neuropsychological tests including the Wechsler Adult Intelligence Scale-Revised, the Wechsler Memory Scale-Revised, and the Wisconsin Card Sorting Test (WCST) were employed in a sample of 112 antipsychotic-naïve patients with schizophrenia and 63 healthy controls. We examined the Val66Met polymorphism in the 112 patients and 394 controls. Among the patients, cognition was compared between Met allele carriers and non-Met allele carriers. A wide range of cognitive deficits were demonstrated in the schizophrenic patients, compared with the controls (Ps < 0.01). No significant differences of genotype or allele distribution were identified between patients and controls. The patients with Met allele showed more percent WCST perseverative errors than those without Met allele (P = 0.007). After stratification based on gender, an association between the Met allele and a higher percentage of perseverative errors was found in male patients (P = 0.014), but not in females (P = 0.09). Cognitive performance is broadly impaired in schizophrenic patients. The BDNF Val66Met polymorphism may be involved in the impaired executive function. This effect may have gender-specific characteristics.

Number needed to treat to harm for discontinuation due to adverse events in the treatment of bipolar depression, major depressive disorder, and generalized anxiety disorder with atypical antipsychotics.

OBJECTIVE To estimate the number needed to treat to harm (NNTH) for discontinuation due to adverse events with atypical antipsychotics relative to placebo during the treatment of bipolar depression, major depressive disorder (MDD), and generalized anxiety disorder (GAD). DATA SOURCES English-language literature published and cited in MEDLINE from January 1966 to May 2009 was searched with the terms antipsychotic, atypical antipsychotic, generic and brand names of atypical antipsychotics, safety, tolerability, discontinuation due to adverse events, somnolence, sedation, weight gain, akathisia, or extrapyramidal side effect; and bipolar depression, major depressive disorder, or generalized anxiety disorder; and randomized, placebo-controlled clinical trial. This search was augmented with a manual search. STUDY SELECTION Studies with a cumulative sample of ≥ 100 patients were included. DATA EXTRACTION The NNTHs for discontinuation due to adverse events, somnolence, sedation, ≥ 7% weight gain, and akathisia relative to placebo were estimated with 95% confidence intervals to reflect the magnitude of variance. DATA SYNTHESIS Five studies in bipolar depression, 10 studies in MDD, and 4 studies in GAD were identified. Aripiprazole and olanzapine have been studied in bipolar depression and refractory MDD. Only quetiapine extended release (quetiapine-XR) has been studied in 3 psychiatric conditions with different fixed dosing schedules. For aripiprazole, the mean NNTH for discontinuation due to adverse events was 14 in bipolar depression, but was not significantly different from placebo in MDD. For olanzapine, the mean NNTHs were 24 in bipolar depression and 9 in MDD. The risk for discontinuation due to adverse events during quetiapine-XR treatment appeared to be associated with dose. For quetiapine-XR 300 mg/d, the NNTHs for discontinuation due to adverse events were 9 for bipolar depression, 8 for refractory MDD, 9 for MDD, and 5 for GAD. CONCLUSIONS At the same dose of quetiapine-XR, patients with GAD appeared to have a lower tolerability than those with bipolar depression or MDD. Due to flexible dosing, the risk for discontinuation due to adverse events in the treatment of bipolar depression, MDD, or GAD with other atypical antipsychotics could not be compared.

Association study of tryptophan hydroxylase-2 gene in schizophrenia and its clinical features in Chinese Han population.

Schizophrenia is a chronic and severe mental illness which is characterized by the development of various detrimental clinical features, and its etiology still remains unknown. Based on the evidence from neurobiological and pharmacological research, dysfunctions in central serotonergic transmission may be involved in the development of schizophrenia. Tryptophan hydroxylase 2 (TPH2), a newly identified isoform of tryptophan hydroxylase (the rate limiting enzyme in the biosynthesis of serotonin), regulates the brain-specific serotonin synthesis. To further clarify the role of TPH2 in this disease, we performed a case-control study to examine the association of the TPH2 gene with schizophrenia and its clinical features. We genotyped three putative functional polymorphisms (rs4570625, rs7305115, and rs4290270) within the gene and carried out a case-control study consisting of 304 schizophrenia patients and 362 healthy subjects. The severity of psychotic symptoms was assessed using the Positive and Negative Syndrome Scale (PANSS). The frequencies of genotypes and alleles of rs4570625, rs7305115, and rs4290270 did not differ significantly between schizophrenic patients and controls. However, the PANSS positive symptom subcore was significantly associated with rs4570625 (P = 0.022). These results suggest that rs4570625 of TPH2 may play an important role in the development of positive symptoms in Han Chinese schizophrenic patients.

Influence of polymorphisms in genes SLC1A1, GRIN2B, and GRIK2 on clozapine-induced obsessive–compulsive symptoms

RationaleClinical observations indicate that atypical antipsychotics, especially clozapine, induce obsessive–compulsive (OC) symptoms in schizophrenia patients. Recent data from neuroimaging and clinical trials suggest a role for altered glutamate neurotransmission in the etiology of OC disorder (OCD), and SLC1A1, GRIN2B, and GRIK2 have all been reported to regulate glutamate transmission and affect OCD pathophysiology.ObjectivesThis study aimed to determine whether SLC1A1, GRIN2B, and GRIK2 are associated with clozapine-induced OC symptoms.MethodsA total of 250 clinically stable schizophrenia patients receiving clozapine treatment were recruited. The Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was used to evaluate the severity of OC symptoms. Based on their Y-BOCS scores, 250 patients were divided into the OC and non-OC groups (patients with or without OC symptoms, respectively). Additionally, three reported OCD susceptibility polymorphisms, SLC1A1 (rs2228622), GRIN2B (rs890), and GRIK2 (rs1556995), were genotyped.ResultsTrends of association with OC symptoms were observed in rs2228622A and rs890T alleles. SLC1A1 and GRIN2B interaction was found in the significant two-locus gene–gene interaction model (p = 0.0021), using the multifactor dimensionality reduction method. Further analysis showed a significant interaction between SLC1A1 and GRIN2B on the Y-BOCS score (F6, 137 = 7.650, p < 0.001), and individuals with AA/TT genotypes had a significantly higher mean Y-BOCS score than those with other genotypes, except AG/TT.ConclusionsThese results suggest that SLC1A1, GRIN2B, and interactions between the two may potentially confer a susceptibility to OC symptoms in schizophrenia patients receiving clozapine.

Protective factors for posttraumatic stress disorder symptoms in a prospective study of police officers.

Although police officers are frequently exposed to potentially traumatic incidents, only a minority will develop chronic posttraumatic stress disorder (PTSD). Identifying and understanding protective factors could inform the development of preventive interventions; however, few studies have examined this. In the present prospective study, 233 police officers were assessed during academy training and again following 2 years of police service. Caucasian race, less previous trauma exposure, and less critical incident exposure during police service as well as greater sense of self-worth, beliefs of greater benevolence of the world, greater social support and better social adjustment, all assessed during academy training, were associated with lower PTSD symptoms after 2 years of service. Positive personality attributes assessed during training with the NEO Five-Factor Personality Inventory were not associated with lower PTSD symptoms. In a hierarchical linear regression model, only Caucasian race, lower critical incident exposure during police service, greater assumptions of benevolence of the world and better social adjustment during training remained predictive of lower PTSD symptoms after 2 years of police service. These results suggest that positive world assumptions and better social functioning during training may protect police officers from critical incident related PTSD.

Blood-Based Gene Expression Profiles Models for Classification of Subsyndromal Symptomatic Depression and Major Depressive Disorder

Subsyndromal symptomatic depression (SSD) is a subtype of subthreshold depressive and also lead to significant psychosocial functional impairment as same as major depressive disorder (MDD). Several studies have suggested that SSD is a transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the pathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and matched controls (8 subjects in each group). Support vector machines (SVMs) were utilized for training and testing on candidate signature expression profiles from signature selection step. 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. Our finding suggested that SSD and MDD did not exhibit the same expressed genome signature with peripheral blood leukocyte, and blood cell–derived RNA of these 48 gene models may have significant value for performing diagnostic functions and classifying SSD, MDD, and healthy controls.

Dissociated large-scale functional connectivity networks of the precuneus in medication-naïve first-episode depression

An imbalance in neural activity within large-scale networks appears to be an important pathophysiological aspect of depression. Yet, there is little consensus regarding the abnormality within the default mode network (DMN) in major depressive disorder (MDD). In the present study, 16 first-episode, medication-naïve patients with MDD and 16 matched healthy controls underwent functional magnetic resonance imaging (fMRI) at rest. With the precuneus (a central node of the DMN) as a seed region, functional connectivity (FC) was measured across the entire brain. The association between the FC of the precuneus and overall symptom severity was assessed using the Hamilton Depression Rating Scale. Patients with MDD exhibited a more negative relationship between the precuneus and the non-DMN regions, including the sensory processing regions (fusiform gyrus, postcentral gyrus) and the secondary motor cortex (supplementary motor area and precentral gyrus). Moreover, greater severity of depression was associated with greater anti-correlation between the precuneus and the temporo-parietal junction as well as stronger positive connectivity between the precuneus and the dorsomedial prefrontal cortex. These results indicate that dissociated large-scale networks of the precuneus may contribute to the clinical expression of depression in MDD.

The role of BDNF, NTRK2 gene and their interaction in development of treatment-resistant depression: Data from multicenter, prospective, longitudinal clinic practice

BACKGROUND Although genetic variants may play a key role in development of treatment-resistant depression (TRD), relevant research is scarce. METHODS To examine whether the polymorphisms of BDNF (rs6265) and NTRK2 (rs1387923, rs2769605 and rs1565445) genes confer risk for TRD in major depressive disorder (MDD), a total of 948 MDD patients were recruited in a 12-week, multicenter, prospective longitudinal study. RESULTS Our study showed a significant allelic association between rs1565445 and TRD with an excess of the T allele in the TRD group, compared to non-TRD group (OR = 1.43, 95%CI: 1.16-1.76, p = 0.0008); while patients with genotype C/C and T/C in rs1565445 were less likely to develop TRD than those carrying T/T (OR = 0.52, 95%CI: 0.33-0.82; OR = 0.72, 95%CI: 0.54-0.97, respectively; p = 0.005). Haplotype T-T (rs1565445 and rs1387923) had 1.41-fold increased risk of TRD (p = 0.0014). Furthermore, significant four-locus (rs1387923-rs1565445-rs2769605-rs6265) gene-gene interactions were detected by the Multifactor-dimensionality reduction (MDR) method. DISCUSSION These results suggest that the interactions of BDNF (rs6265) with NTRK2 (rs1387923, rs2769605 and rs1565445) gene polymorphisms likely play an essential role in the development of TRD in Han Chinese MDD patients.

Brain-derived neurotrophic factor levels and bipolar disorder in patients in their first depressive episode: 3-Year prospective longitudinal study

BACKGROUND Early identification of patients with bipolar disorder during their first depressive episode is beneficial to the outcome of the disorder and treatment, but traditionally this has been a great challenge to clinicians. Recently, brain-derived neurotrophic factor (BDNF) has been suggested to be involved in the pathophysiology of bipolar disorder and major depressive disorder (MDD), but it is not clear whether BDNF levels can be used to predict bipolar disorder among patients in their first major depressive episode. AIMS To explore whether BDNF levels can differentiate between MDD and bipolar disorder in the first depressive episode. METHOD A total of 203 patients with a first major depressive episode as well as 167 healthy controls were recruited. After 3 years of bi-annual follow-up, 164 patients with a major depressive episode completed the study, and of these, 21 were identified as having bipolar disorder and 143 patients were diagnosed as having MDD. BDNF gene expression and plasma levels at baseline were compared among the bipolar disorder, MDD and healthy control groups. Logistic regression and decision tree methods were applied to determine the best model for predicting bipolar disorder at the first depressive episode. RESULTS At baseline, patients in the bipolar disorder and MDD groups showed lower BDNF mRNA levels (P<0.001 and P = 0.02 respectively) and plasma levels (P = 0.002 and P = 0.01 respectively) compared with healthy controls. Similarly, BDNF levels in the bipolar disorder group were lower than those in the MDD group. These results showed that the best model for predicting bipolar disorder during a first depressive episode was a combination of BDNF mRNA levels with plasma BDNF levels (receiver operating characteristics (ROC) = 0.80, logistic regression; ROC = 0.84, decision tree). CONCLUSIONS Our findings suggest that BDNF levels may serve as a potential differential diagnostic biomarker for bipolar disorder in a patients first depressive episode.

Lack of effect of brain derived neurotrophic factor (BDNF) Val66Met polymorphism on early onset schizophrenia in Chinese Han population.

Schizophrenia is a chronic psychiatric disorder with high heritability. Schizophrenic patients with early-age onset tend to have a greater genetic component and may be an attractive subpopulation for genetic studies. Brain-derived neurotrophic factor (BDNF) is considered a candidate gene for schizophrenia. A single nucleotide polymorphism (BDNF Val66Met) was reported to be associated with schizophrenia, although discrepancy remains. The aim of this study was to evaluate the association between BDNF Val66Met polymorphism and schizophrenia using an early onset sample in the Chinese Han population. Our sample consisted of 353 schizophrenic patients with onset before age 18 and 394 healthy controls. All subjects were of an ethnically homogenous Han Chinese origin. No significant differences of genotype or allele distribution were identified between the patients and controls. However, the Met allele was significantly associated with an earlier age of onset in male schizophrenic patients (Kaplan-Meier log-rank test P=0.005), but not in females (P=0.289). The BDNF Val66Met polymorphism has an important effect on the age of onset of schizophrenia in a gender-specific manner. This may represent a significant genetic clue for the etiology of schizophrenia and thus, further studies are required to uncover the exact role of BDNF in the development of schizophrenia.