The Role of Total White Blood Cell Count in Antipsychotic Treatment for Patients with Schizophrenia.

BACKGROUND: Total white blood cell count (TWBCc), an index of chronic and low-grade inflammation, is associated with clinical symptoms and metabolic alterations in patients with schizophrenia. The effect of antipsychotics on TWBCc, predictive values of TWBCc for drug response, and role of metabolic alterations require further study. METHODS: Patients with schizophrenia were randomized to monotherapy with risperidone, olanzapine, quetiapine, aripiprazole, ziprasidone, perphenazine or haloperidol in a 6-week pharmacological trial. We repeatedly measured clinical symptoms, TWBCc, and metabolic measures (body mass index, blood pressure, waist circumference, fasting blood lipids and glucose). We used mixed-effect linear regression models to test whether TWBCc can predict drug response. Mediation analysis to investigate metabolic alteration effects on drug response. RESULTS: At baseline, TWBCc was higher among patients previously medicated. After treatment with risperidone, olanzapine, quetiapine, perphenazine, and haloperidol, TWBCc decreased significantly (p < 0.05). Lower baseline TWBCc predicted greater reductions in Positive and Negative Syndrome Scale (PANSS) total and negative scores over time (p < 0.05). We found significant mediation of TWBCc for effects of waist circumference, fasting low-density lipoprotein cholesterol, and glucose on reductions in PANSS total scores and PANSS negative subscale scores (p < 0.05). CONCLUSION: TWBCc is affected by certain antipsychotics among patients with schizophrenia, with decreases observed following short-term, but increases following long-term treatment. TWBCc is predictive of drug response, with lower TWBCc predicting better responses to antipsychotics. It also mediates the effects of certain metabolic measures on improvement of negative symptoms. This indicates that the metabolic state may affect clinical manifestations through inflammation.

Early Efficacy of Antipsychotic Medications at Week 2 Predicts Subsequent Responses at Week 6 in a Large-scale Randomized Controlled Trial.

BACKGROUND: Since the early clinical efficacy of antipsychotics has not yet been well perceived, this study sought to decide whether the efficacy of antipsychotics at week 2 can predict subsequent responses at week 6 and identify how such predictive capacities vary among different antipsychotics and psychotic symptoms. METHODS: A total of 3010 patients with schizophrenia enrolled in a randomized controlled trial (RCT) and received a 6-week treatment with one antipsychotic drug randomly chosen from five atypical antipsychotics (risperidone 2-6 mg/d, olanzapine 5-20 mg/d, quetiapine 400-750 mg/d, aripiprazole 10-30 mg/d, and ziprasidone 80-160 mg/d) and two typical antipsychotics (perphenazine 20-60 mg/d and haloperidol 6-20 mg/d). Early efficacy was defined as the reduction rate using the Positive and Negative Syndrome Scale (PANSS) total score at week 2. With cut-offs at 50% reduction, logistic regression, receiver operating characteristic (ROC) and random forests were adopted. RESULTS: The reduction rate of PANSS total score and improvement of psychotic symptoms at week 2 enabled subsequent responses to 7 antipsychotics to be predicted, in which improvements in delusions, lack of judgment and insight, unusual thought content, and suspiciousness/ persecution were endowed with the greatest weight. CONCLUSION: It is robust enough to clinically predict treatment responses to antipsychotics at week 6 using the reduction rate of PANSS total score and symptom relief at week 2. Psychiatric clinicians had better determine whether to switch the treatment plan by the first 2 weeks.

Longitudinal trajectory analysis of antipsychotic response in patients with schizophrenia: 6-week, randomised, open-label, multicentre clinical trial.

BACKGROUND: Understanding the patterns of treatment response is critical for the treatment of patients with schizophrenia; one way to achieve this is through using a longitudinal dynamic process study design. AIMS: This study aims to explore the response trajectory of antipsychotics and compare the treatment responses of seven different antipsychotics over 6 weeks in patients with schizoprenia (trial registration: Chinese Clinical Trials Registry Identifier: ChiCTR-TRC-10000934). METHOD: Data were collected from a multicentre, randomised open-label clinical trial. Patients were evaluated with the Positive and Negative Syndrome Scale (PANSS) at baseline and follow-up at weeks 2, 4 and 6. Trajectory groups were classified by the method of k-means cluster modelling for longitudinal data. Trajectory analyses were also employed for the seven antipsychotic groups. RESULTS: The early treatment response trajectories were classified into a high-trajectory group of better responders and a low-trajectory group of worse responders. The results of trajectory analysis showed differences compared with the classification method characterised by a 50% reduction in PANSS scores at week 6. A total of 349 patients were inconsistently grouped by the two methods, with a significant difference in the composition ratio of treatment response groups using these two methods (χ2 = 43.37, P < 0.001). There was no differential contribution of high- and low trajectories to different drugs (χ2 = 12.52, P = 0.051); olanzapine and risperidone, which had a larger proportion in the >50% reduction at week 6, performed better than aripiprazole, quetiapine, ziprasidone and perphenazine. CONCLUSIONS: The trajectory analysis of treatment response to schizophrenia revealed two distinct trajectories. Comparing the treatment responses to different antipsychotics through longitudinal analysis may offer a new perspective for evaluating antipsychotics.

Metabolic Effects of 7 Antipsychotics on Patients With Schizophrenia: A Short-Term, Randomized, Open-Label, Multicenter, Pharmacologic Trial.

OBJECTIVE: To compare longitudinal metabolic effects of 7 antipsychotics, including body mass index (BMI), waist circumference (WC), blood pressure (BP), glucose, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C); to investigate risk factors for metabolic syndrome (MetS); and to make recommendations on frequency and timing of monitoring metabolic measurements. METHODS: This randomized, open-label, pharmacologic trial was conducted among patients with schizophrenia (DSM-IV) in 32 hospitals across China. Patients were randomly assigned to 7 groups and assessed at baseline, 2, 4, and 6 weeks. Linear mixed-effect models were used to assess changes of metabolic measures over time. Multivariable logistic regression analysis was performed to investigate the risk factors for MetS. RESULTS: In total, 2,550 (718 drug-naïve) of 2,774 patients finished the study between July 6, 2010, and November 30, 2011. We found significant (P < .05) changes for BMI, WC, TG, and LDL-C, with TG and LDL-C reaching a plateau. Interactions between baseline metabolic condition and changes over time were observed for BMI (χ² = 43.11, P < .001), WC (χ² = 36.34, P < .001), systolic BP (χ² = 11.92, P = .002), glucose (χ² = 6.09, P = .01), and TG (χ² = 6.01, P = .01). Antipsychotics generally had greater adverse effects on patients who were initially screened as metabolically normal. After controlling for other associated factors, we found that antipsychotics resulted in differing risk for incident MetS, with a similar pattern to findings in other populations: olanzapine (odds ratio [OR] = 3.36, P < .001) > quetiapine (OR = 3.29, P < .001) > perphenazine (OR = 2.73, P = .007) > risperidone (OR = 2.21, P = .02) > aripiprazole (OR = 1.74, P = .15) ≈ haloperidol (OR = 1.75, P = .22) ≈ ziprasidone (OR = 1, reference). CONCLUSIONS: Metabolic traits should be monitored frequently in early stages of antipsychotic treatment due to rapid and substantial changes. Clinicians should not assume low risk for patients with normal metabolic parameters at baseline. TRIAL REGISTRATION: Chinese Clinical Trial Registry identifier: ChiCTR-TRC-10000934.

Plasma total antioxidant status and cognitive impairments in first-episode drug-naïve patients with schizophrenia.

Accumulating evidence suggest that excessive reactive oxygen species-induced oxidative damage may underlie neurodegeneration and cognitive impairment in several disorders including schizophrenia. In this study we examined the association of oxidative stress with cognitive deficits in first-episode drug-naïve (FEDN) patients with schizophrenia. We recruited 54 FEDN patients and 50 age- and sex-matched healthy controls and examined the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus cognitive Battery (MCCB) and plasma total antioxidant status (TAS). Psychopathological symptoms were assessed using the Positive and Negative Syndrome Scale. The results showed that plasma TAS levels were significantly lower in the patients than those in the healthy subjects (94.7 ± 25.0 U/ml vs 156.6 ± 46.7 U/ml, p < 0.0001). The patients scored lower than healthy controls on the MCCB total score, speed of processing, attention/vigilance and managing emotion test index and STROOP test. For the patients, TAS was associated with some domains of cognitive deficits in schizophrenia, such as speed of processing, attention/vigilance and emotion managing. Our results suggested that oxidative stress may be involved in the pathophysiology of schizophrenia at the early of stage and its cognitive impairment.

Testing the role of genetic variation of the MC4R gene in Chinese population in antipsychotic-induced metabolic disturbance.

Antipsychotic-induced metabolic disturbance (AIMD) is a common adverse effect of antipsychotics with genetics partly underpinning variation in susceptibility among schizophrenia patients. Melanocortin4 receptor (MC4R) gene, one of the candidate genes for AIMD, has been under-studied in the Chinese patients. We conducted a pharmacogenetic study in a large cohort of Chinese patients with schizophrenia. In this study, we investigated the genetic variation of MC4R in Chinese population by genotyping two SNPs (rs489693 and rs17782313) in 1,991 Chinese patients and examined association of these variants with the metabolic effects that were often observed to be related to AIMD. Metabolic measures, including body mass index (BMI), waist circumference (WC), glucose, triglyceride, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels were assessed at baseline and after 6-week antipsychotic treatment. We found that interaction of SNP×medication status (drug-naïve/medicated) was significantly associated with BMI, WC, and HDL change %, respectively. Both SNPs were significantly associated with baseline BMI and WC in the medicated group. Moderate association of rs489693 with WC, Triglyceride, and HDL change % were observed in the whole sample. In the drug-naïve group, we found recessive effects of rs489693 on BMI gain more than 7%, WC and Triglyceride change %, with AA incurring more metabolic adverse effects. In conclusion, the association between rs489693 and the metabolic measures is ubiquitous but moderate. Rs17782313 is less involved in AIMD. Two SNPs confer risk of AIMD to patients treated with different antipsychotics in a similar way.

Effect of Damaging Rare Mutations in Synapse-Related Gene Sets on Response to Short-term Antipsychotic Medication in Chinese Patients With Schizophrenia: A Randomized Clinical Trial.

Importance: The underlying mechanism for individual differences in patient response to antipsychotic medication remains unknown. Objective: To discover genes and gene sets harboring rare variants associated with short-term antipsychotic medication efficacy. Design, Setting, and Participants: In this multicenter, open-label, randomized clinical trial conducted between July 6, 2010, and December 31, 2011, 3023 patients recruited in China of Chinese Han descent with schizophrenia with total Positive and Negative Syndrome Scale (PANSS) score ≥ 60 received a 6-week treatment of antipsychotic medications randomly chosen from 5 atypical and 2 typical antipsychotic medications. Whole-exome sequencing (WES) was performed in 316 participants (grouped into those with the best response [n=156] and those who had no response [n=160] to the antipsychotic medication prescribed), according to the total PANSS score reduction rate after 6 weeks of treatment. Validation was performed using targeted sequencing in an independent sample of 1920 patients. Data analyses was performed between March 15, 2016, and March 1, 2017. Main Outcomes and Measures: Drug efficacy at week 6 was assessed according to the change in PANSS scores from baseline. Extremely good and extremely poor responders were selected for an initial WES association study, from which a subset of genes showing putative association was selected for independent replication with a targeted sequencing approach. Results: Of the 3023 patients (1549 [51.24%] female and 1474 [48.8%] male; mean [SD] age, 31.2 [7.9] years), 2336 (77.3%) were eligible for genetic analysis. After quality-control exclusions, 316 patients (10.5%) were included for WES and 1920 (63.5%) were included for replication. In the WES discovery stage, 2 gene sets (reduced NMDA [N-methyl-D-aspartate]-mediated synaptic currents and reduced AMPA [α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid]-mediated synaptic currents) were found to be enriched with rare damaging variants in the nonresponder group, suggesting the involvement of these gene sets in antipsychotic medication efficacy. Reduced NMDA-mediated synaptic currents gene set was further replicated in an independent sample using targeting sequencing. No statistically significant differences in antipsychotic drug response were found among the patients who received different antipsychotic drugs. Conclusions and Relevance: Genetic variation in glutamatergic or NMDA neurotransmission is implicated in short-term antipsychotic medication efficacy; WES may have utility in the study of rare genetic variation in pharmacogenetics. Trial Registration: Chinese Clinical Trials Registry Identifier: ChiCTR-TRC-10000934.

Five novel loci associated with antipsychotic treatment response in patients with schizophrenia: a genome-wide association study.

BACKGROUND: Antipsychotic drugs improve schizophrenia symptoms and reduce the frequency of relapse, but treatment response is highly variable. Little is known about the genetic factors associated with treatment response. We did a genome-wide association study of antipsychotic treatment response in patients with schizophrenia. METHODS: The discovery cohort comprised patients with schizophrenia from 32 psychiatric hospitals in China that are part of the Chinese Antipsychotics Pharmacogenomics Consortium. Patients who met inclusion criteria were randomly assigned (1:1:1:1:1:1) to six groups (olanzapine, risperidone, quetiapine, aripiprazole, ziprasidone, and haloperidol or perphenazine; those assigned to haloperidol or perphenazine were subsequently assigned [1:1] to one or the other) for 6 weeks. Antipsychotic response was quantified with percentage change on the Positive and Negative Syndrome Scale. Single-nucleotide polymorphisms (SNPs) were tested for their association with treatment response. Linkage-disequilibrium-independent SNPs that exhibited potential associations (ie, p<1 × 10-5) were tested in a validation cohort comprising patients from the Chinese Antipsychotics Pharmacogenetics Consortium from five collaborative hospitals, who were treated with olanzapine, risperidone, or aripiprazole for 8 weeks. FINDINGS: The discovery cohort contained 2413 patients and the validation cohort 1379 patients. In the discovery cohort, we identified three novel SNPs (rs72790443 in MEGF10 [p=1·37 × 10-8], rs1471786 in SLC1A1 [p=1·77 × 10-8], and rs9291547 in PCDH7 [p=4·48 × 10-8]) that were associated with antipsychotic treatment response at a genome-wide significance level. These associations were confirmed in the validation cohort (p<0·05). In the combined sample of the discovery and validation cohorts, we identified five novel loci showing genome-wide significant associations with general antipsychotic treatment response (rs72790443 in MEGF10 [p=1·40 × 10-9], rs1471786 in SLC1A1 [p=2·33 × 10-9], rs9291547 in PCDH7 [p=3·24 × 10-9], rs12711680 in CNTNAP5 [p=2·12 × 10-8], and rs6444970 in TNIK [p=4·85 × 10-8]). In antipsychotic-specific groups, after the combination of results from both samples, the rs2239063 SNP in CACNA1C was associated with treatment response to olanzapine (p=1·10 × 10-8), rs16921385 in SLC1A1 was associated with treatment response to risperidone (p=4·40 × 10-8), and rs17022006 in CNTN4 was associated with treatment response to aripiprazole (p=2·58 × 10-8). INTERPRETATION: We have identified genes related to synaptic function, neurotransmitter receptors, and schizophrenia risk that are associated with response to antipsychotics. These findings improve understanding of the mechanisms underlying treatment responses, and the identified biomarkers could eventually guide choice of antipsychotic in patients with schizophrenia. FUNDING: National Key Technology R&D Program of China, National Natural Science Foundation of China.

Cognitive dysfunction correlates with elevated serum S100B concentration in drug-free acutely relapsed patients with schizophrenia.

S100B, a biomarker of glial dysfunction and blood-brain barrier (BBB) disruption, has been proposed to be involved in the pathophysiology of schizophrenia. In the present study, we aimed at exploring the association of serum S100B levels with cognitive deficits using MATRICS Consensus Cognitive Battery (MCCB) in schizophrenia, by excluding the impact of antipsychotics. Sixty-two unmedicated patients with schizophrenia during their acute phases were divided into a drug-naïve group (n=34) and a drug-free group (n=28). S100B serum concentrations were measured and MCCB was administered to all of the patients. Forty healthy controls donated their blood samples for S100B assessment. The results indicated that serum S100B was significantly elevated in the drug-naive/free acute-stage schizophrenic patients when compared to the healthy controls. In the drug-free group, the serum S100B level was an independent contributor to the global cognitive dysfunctions, particularly for the speed of processing, attention/vigilance, visual learning and reasoning/problem solving subscores. Nevertheless, no significant associations between S100B and MCCB composite score or any cognitive domain subscore were observed in the drug-naïve group. These findings support the hypothesis that glial dysfunction and associated marker protein S100B may contribute to the pathophysiologic development of neurocognitive deficits in the relapsed individuals with schizophrenia.

Association of catechol-O-methyltransferase Val(108/158) Met genetic polymorphism with schizophrenia, P50 sensory gating, and negative symptoms in a Chinese population.

Catechol-O-methyltransferase (COMT), an enzyme involved in the degradation and inactivation of the neurotransmitter dopamine, is associated with the sensory gating phenomenon, protecting the cerebral cortex from information overload. The COMT Val(108/158)Met polymorphism is essential for prefrontal cortex processing capacity and efficiency. The current study was designed to investigate the role of COMT Val(108/158)Met polymorphism in development, sensory gating deficit, and symptoms of schizophrenia in Han Chinese population. P50 gating was determined in 139 schizophrenic patients and 165 healthy controls. Positive and Negative Syndrome Scale (PANSS) was used to assess the clinical symptomatology in 370 schizophrenic subjects. COMT Val(108/158)Met polymorphism was genotyped by PCR-restriction fragment length polymorphism (PCR-RFLP). No significant differences in COMT allele and genotype distributions were observed between schizophrenic patients and control groups. Although P50 deficits were present in patients, there was no evidence for an association between COMT Val(108/158)Met polymorphism and the P50 biomarker. Moreover, PANSS negative subscore was significantly higher in Val allele carriers than in Met/Met individuals. The present findings suggest that COMT Val(108/158)Met polymorphism may not contribute to the risk of schizophrenia and to the P50 deficits, but may contribute to the negative symptoms of schizophrenia among Han Chinese.

Male sex may be associated with higher metabolic risk in first-episode schizophrenia patients: A preliminary study.

BACKGROUND: High incidence of metabolic syndrome has been evidenced in schizophrenia patients. However, gender-specific relationship with risk of metabolic disorders in first-episode schizophrenia has received poor systematic study. AIM: We aimed at exploring the impact of sex difference on the parameters of glucolipid metabolism in first-episode psychosis schizophrenia (FEP) patients. METHODS: We performed a post hoc analysis of data from our previously performed clinical trial. A total of 60 FEP patients and 28 healthy sex- and age-matched volunteers were included. Blood glucose and lipid metabolic profiles, as well as schizophrenia-related clinical symptoms were assessed. The body mass index, level of blood insulin and the homeostasis model assessment-insulin resistance index (HOMA-IR) were measured. RESULTS: The FEP patients demonstrated significant increases in blood insulin concentration, insulin resistance and blood triglyceride when compared with healthy controls. In FEP patients, there were no differences in psychopathology measurements between the genders. BMI and HOMA-IR were significantly greater in male vs female FEP patients. In addition, a more severe dyslipidemia was also observed in male FEP patients, including an increased triglyceride level, an augmented LDL content and a decreased HDL concentration. Multivariate linear regression analysis demonstrated that the gender was significantly correlated to HOMA-IR. CONCLUSION: These preliminary results suggest that male FEP patients may be more predisposed to insulin resistance and dyslipidemia than female FEP patients. These results could contribute to the understanding of prevention and treatment of metabolic syndrome in FEP patients.

Relationship between insulin resistance, dyslipidaemia and positive symptom in Chinese antipsychotic-naive first-episode patients with schizophrenia.

Controversial results concerning insulin resistance and lipid metabolism have been reported in antipsychotic-naive first-episode psychosis (AN-FEP) patients with schizophrenia of different countries. We aimed at determining whether schizophrenia-related psychopathology was associated with insulin resistance and/or dyslipidaemia in Chinese patients with AN-FEP schizophrenia. A cross-sectional study was performed in Chinese patients newly diagnosed with schizophrenia (n = 49, antipsychotic-naïve or antipsychotic medications< 2 weeks) and healthy volunteers (n = 30). The serum levels of insulin and triglyceride levels as well as homeostasis model of assessment-insulin resistance (HOMA-IR) index were significantly increased in AN-FEP patients, when compared with healthy volunteers. The gender difference had a significant impact on the insulin resistance and dyslipidaemia in these AN-FEP subjects. Multiple linear regression analysis demonstrated that the severity of positive symptoms of schizophrenia was negatively related to insulin resistance. No difference of serum glucose level, total cholesterol content, body mass index (BMI) and smoking status was detected between patients with schizophrenia and healthy controls. In conclusion, Chinese AN-FEP patients were more prone to insulin resistance and dyslipidaemia as compared to the healthy population, which is negatively correlated to positive symptoms. The results may contribute to the understanding of the relationship between the glucose/lipidaemia metabolic dysfunction and the psychopathology in patients with schizophrenia.

Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2.

To identify susceptibility loci for schizophrenia, we performed a two-stage genome-wide association study (GWAS) of schizophrenia in the Han Chinese population (GWAS: 746 individuals with schizophrenia and 1,599 healthy controls; validation: 4,027 individuals with schizophrenia and 5,603 healthy controls). We identified two susceptibility loci for schizophrenia at 6p21-p22.1 (rs1233710 in an intron of ZKSCAN4, P(combined) = 4.76 × 10(-11), odds ratio (OR) = 0.79; rs1635 in an exon of NKAPL, P(combined) = 6.91 × 10(-12), OR = 0.78; rs2142731 in an intron of PGBD1, P(combined) = 5.14 × 10(-10), OR = 0.79) and 11p11.2 (rs11038167 near the 5' UTR of TSPAN18, P(combined) = 1.09 × 10(-11), OR = 1.29; rs11038172, P(combined) = 7.21 × 10(-10), OR = 1.25; rs835784, P(combined) = 2.73 × 10(-11), OR = 1.27). These results add to previous evidence of susceptibility loci for schizophrenia at 6p21-p22.1 in the Han Chinese population. We found that NKAPL and ZKSCAN4 were expressed in postnatal day 0 (P0) mouse brain. These findings may lead to new insights into the pathogenesis of schizophrenia.