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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., (© Copyright 2020 Physicians Postgraduate Press, Inc.)

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.

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.

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., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Myosin Vb (MYO5B) has recently been implicated in the etiology of bipolar disorder in a genome-wide association study (GWAS). This gene is involved in amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptor subunit glutamate receptor 1 (GluR1) recycling and plays an important role in the primary excitatory neurotransmission. Dysfunction of the brain glutamate system has been postulated to be involved in the pathophysiology in schizophrenia. To further investigate the association between MYO5B polymorphisms and schizophrenia, we genotyped nine single nucleotide polymorphisms (SNPs) in an independent sample of 1463 individuals with schizophrenia and 1563 healthy control subjects, and detected three SNPs and two haplotype blocks which displayed significant association with schizophrenia. This association was further strengthened by the results of meta-analysis. Our data strongly supported that the MYO5B gene might be associated with schizophrenia in the Chinese Han population and they have implications for understanding the glutamate hypothesis of schizophrenia., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Schizophrenic patients appear to have higher rates of abnormality of glycometabolism. It has been suggested that these could be secondary to the use of antipsychotics. However, findings indicate that abnormal glucose metabolism may be potentially involved in the pathogenesis of schizophrenia. The present study examined the fasting plasma levels of glycometabolism related factors in healthy offspring of schizophrenic patients. Our objective was to test the hypothesis that abnormal glucose metabolism might be potentially involved in the pathogenesis of schizophrenia. Thirty-two healthy offspring of schizophrenic inpatients who met DSM-IV criteria for schizophrenia and 37 comparison subjects were recruited. Fasting plasma levels of glucose, insulin, insulin-like growth factor 1 (IGF-1), growth hormone (GH), leptin and cortisol were tested for all subjects. Compared with controls, offspring of schizophrenic patients had significantly higher mean plasma insulin and insulin resistance, and lower mean plasma IGF-1 level. Meanwhile, the mean fasting plasma levels of glucose, GH, leptin and cortisol did not differ significantly between offspring of schizophrenic patients and healthy comparison subjects. Offspring of schizophrenic patients showed significant differences from comparison subjects in glycometabolism related factors. Abnormal glucose metabolism might be potentially involved in the pathogenesis of schizophrenia., (Copyright © 2012 Elsevier Ltd. All rights reserved.)