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Clozapine use is associated with higher risks of metabolic side effects and cardiovascular diseases (CVD). Thus, this study aims to establish and compare the cardiometabolic profiles between non-clozapine antipsychotic and clozapine users with schizophrenia.Data from 88 non-clozapine and 166 clozapine users were extracted from existing databases - demographics, medications, smoking and medical histories, anthropometric parameters, serum lipid and fasting glucose levels. Prevalence of metabolic syndrome (MetS) was established using the AHA/NHLBI criteria. Cardiovascular risk profiles were established using the Framingham risk score (FRS).The clozapine group had significantly higher proportions of diagnosed hypertension (10.8 % vs. 3.4 %, p = 0.041), diabetes mellitus (15.7 % vs. 3.4 %, p = 0.003) and dyslipidemia (36.7 % vs. 12.5 %, p 0.001). However, the non-clozapine antipsychotic group had poorer anthropometric, serum lipids and glucose levels. The prevalence rates of MetS in the clozapine and non-clozapine antipsychotic groups were not statistically significant at 42.8 % and 43.2 %, respectively. As for CVD risk, the non-clozapine antipsychotic group had significantly higher FRS (6.59 % vs. 6.12 %, p = 0.001).Although clozapine users had higher rates of diagnosed metabolic conditions, other cardiometabolic parameters appeared better compared to non-clozapine antipsychotic users, which could be due to greater awareness, earlier detection and treatment. Regardless of the type of antipsychotic used, metabolic abnormalities are prevalent in individuals with schizophrenia; physical healthcare should be prioritised alongside mental healthcare in this group.

Background Clozapine remains the only antipsychotic with unique efficacy in treatment resistant schizophrenia (TRS). Considerable ongoing research and clinical efforts have focused on reducing barriers to clozapine use in a bid to increase rates of clozapine use to improve outcomes in TRS. However, less than half of individuals with TRS respond to clozapine, with the remainder categorised as clozapine resistant (CRS) or Ultra-resistant. It is important to deepen understanding on the development of CRS so we can identify them early, attempt to prevent/delay its onset and also explore novel treatments. In the present study, we sought to compare clozapine responders from CRS and identify factors which might be associated with CRS. Methods This study was conducted at the Institute of Mental Health, the only psychiatric facility with clozapine services in Singapore. Individuals with TRS on clozapine for at least 12 weeks and the capacity to give informed consent were enrolled into the study. Each participant underwent a clinical assessment on the Structured Clinical Interview DSM-IV-TR (SCID), Positive and Negative Syndrome Scale (PANSS) and Social Occupational Functioning Assessment Scale (SOFAS). We applied the Treatment Response and Resistance In Psychosis consensus criteria to define clozapine response and resistance. Brief Neurocognitive Assessment was done using the digit sequencing and symbol coding tasks from the Brief Assessment of Cognition in Schizophrenia (BACS). A fasting sample of blood was collected; assays for clozapine and norclozapine were performed using high performance liquid chromatography. To be classified as CRS, a participant must meet the below criteria: (i) not meeting symptom remission criteria on the PANSS using the Remission in Schizophrenia Working Group criteria, (ii) moderate and lower level of functioning on the SOFAS, and (iii) at least 12 weeks of clozapine treatment and plasma clozapine levels ≥ 350 ng/ml. Results A total of 91 participants were enrolled in this study and 67 (73.6%) met criteria for CRS. 1 in 4 clozapine responders had plasma clozapine levels not exceeding 350 ng/ml. There were no significant differences in age, sex, smoking status, age at onset of illness, clozapine adherence, antipsychotic polypharmacy rates and duration of clozapine use between clozapine responders and CRS. Compared to clozapine responders, individuals with CRS had statistically significantly lower BMI (26.4 vs. 23.4, p=0.008) lower rates of employment (79.2% vs. 35.8%, p Discussion Our study highlighted a high rate of CRS and suggests that poorer cognitive function, specifically in processing speed, might be associated with the development of clozapine resistance in schizophrenia. Additionally, it was interesting to note that a higher BMI was associated with clozapine response; this lends weight to existing metabolic and lipid hypotheses of schizophrenia.

Background Biomarkers identified for psychosis might allow for early diagnosis, more accurate prognosis, and tailored individualized interventions. Brain-derived neurotrophic factor (BDNF) is suggested to be a likely candidate biomarker for the diagnosis and treatment evaluation in psychosis. The aims of present study were to examine the levels of serum BDNF in both patients with first-episode psychosis (FEP) and in healthy controls for a year, and to investigate the association between BDNF with symptom severity and remission status. Methods A sample of 31 healthy controls and 29 patients with FEP were included in this study. Diagnoses were ascertained on the Structured Clinical Interview for DSM-IV-TR. Symptom severity was assessed on the Positive and Negative Syndrome Scale. Serum levels of BDNF were measured using enzyme-linked immunosorbent assay method at recruitment and at 3-, 6-, and 12-month time points. Results Serum BDNF levels in both groups did not differ significantly over time. Baseline BDNF levels in patients with FEP did not correlate with symptom severity and neither baseline BDNF level nor its relative change at 3-month predicted remission status at 6- and 12-month follow-up visits. Of note, we observe similar fluctuations in serum BDNF levels in both patients and healthy controls over the 12-month period. Conclusions Findings from our study did not support a role for serum BDNF as a biomarker for patients with FEP. Because of the polygenic nature of psychosis, we recommend a comprehensive multimarker profile consisting of markers from representative components of mediated neuronal nutrition, neuroimmunology, and neurologic functional deficit to allow for better predictive power.

Drug transporters are differentially expressed in many polarized tissues. The varied distribution and expression of transporters determines the net transcellular transport and influences the disposition of many clinically used drugs. ATP-binding cassette (ABC) and Solute Carrier (SLC) transporters interact dynamically to mediate the passage of drugs across cells. The variable expression of drug transporters could be attributed to genetic and non-genetic factors, which accounts for the differences in drug response among individuals, in terms of both efficacy and adverse effects.The authors provide the background of ABC and SLC transporters, and highlight the fact that their expression is cell-specific and the study of a transporter in isolation is not an adequate measure of its function. The technologies and approaches to characterize the function of transporters, as well as the genetic and non-genetic factors underlying their variable expression in specific cells and among individuals were reviewed.Many studies have utilized tissue homogenization techniques to isolate mRNA for quantifying transporter expression levels. We highlight that transporter expression is cell-specific and mRNA expression does not always reflect its total functionality. In addition, transporter expression in immortalized cell lines may not mirror its expression in the target tissue site.

Background:Identifying biomarkers to enrich prognostication and risk predictions in individuals at high risk of developing psychosis will enable stratified early intervention efforts. Brain-derived neurotrophic factor has been widely studied in schizophrenia and in first-episode psychosis with promising results. The aim of this study was to examine the levels of serum brain-derived neurotrophic factor between healthy controls and individuals with ultra-high risk of psychosis.Methods:A sample of 106 healthy controls and 105 ultra-high risk of psychosis individuals from the Longitudinal Youth at Risk Study was included in this study. Ultra-high risk of psychosis status was determined using the Comprehensive Assessment of At-Risk Mental State at recruitment. Calgary Depression Scale for Schizophrenia was used to assess the severity of depression. All participants were followed up for 2 years, and ultra-high risk of psychosis remitters were defined by ultra-high risk of psychosis individuals who no longer fulfilled Comprehensive Assessment of At-Risk Mental State criteria at the end of the study period. Levels of brain-derived neurotrophic factor were measured in the serum by enzyme-linked immunosorbent assay method.Results:The ultra-high risk of psychosis group had significantly higher baseline levels of serum brain-derived neurotrophic factor compared with the control group (3.7 vs 3.3 ng/mL, P=.018). However, baseline levels of serum brain-derived neurotrophic factor did not predict the development of psychosis (OR=0.64, CI=0.40–1.02) or remission (OR=0.83, CI=0.60–1.15) from ultra-high risk of psychosis status.Conclusion:Findings from our study did not support a role for serum brain-derived neurotrophic factor in predicting outcomes in ultra-high risk of psychosis individuals. However, the finding of higher levels of serum brain-derived neurotrophic factor in ultra-high risk of psychosis individuals deserves further study. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore) Published version

Background There is a growing interest in the association between schizophrenia and the activation of inflammatory system with signs of acute phase (AP) response. Majority of such studies had focused on C-reactive protein (CRP). The aims of the present study were (i) to examine the gene expression profiles of other acute phase proteins (APP), namely haptoglobin (HP), alpha-1 antitrypsin (A1T), and alpha-2 macroglobulin (A2M) in patients with first episode psychosis (FEP) over a period of three months and (ii) to explore the association between APP levels and severity of symptoms. Methods In this study, HP, A1T and A2M gene expression levels from whole blood were measured at recruitment, 1- and 3-month follow-up visits using quantitative PCR (qPCR) in 43 patients with FEP and in 57 healthy controls. Diagnoses was ascertained on the Structured Clinical Interview for DSM-IV-TR. Severity of symptoms in patients was assessed on the Positive and Negative Syndrome Scale (PANSS) and a previously validated 5-factor PANSS structure was applied in the subsequent analyses. Results The FEP sample comprised of 28 (65.1%) individuals with schizophrenia, 12 (27.9%) with schizophreniform disorder and 3 (7%) with schizoaffective disorder. HP gene expression level was noted to be significantly higher in patients than controls at all three time points: recruitment (P = 0.049), 1-month follow up (P = 0.002) and 3-month follow up (P = 0.005). PANSS positive, depression, and excitement symptom factors showed significant associations with HP (P = 0.002), A1T (P = 0.016) and A2M (P = 0.034), respectively. These findings remained significant after controlling for age, gender, smoking status and accumulated chlorpromazine dosage. Conclusion The current study provides information on HP, A1T and A2M gene expression profiles in FEP patients and their associations with psychopathology. This provides support for the hypothesis that inflammation is related to schizophrenia and further encourages studies on immune-inflammatory markers to understand the relationship between inflammation and schizophrenia.

Background Clozapine has specific indication for use in Treatment Resistant Schizophrenia (TRS) with guidelines for therapeutic drug monitoring. Though a plasma level > 350 ng/ml has been cited as the therapeutic threshold, many other studies have shown poor or inconsistent associations between blood levels of clozapine and side effects. Clozapine is about 95% bound to plasma proteins with a small biologically active fraction. Saliva presents as a promising alternative for therapeutic drug monitoring where clozapine levels would be at equilibrium with free unbound clozapine in the plasma. This provides the added advantage of a potentially stronger relationship with efficacy and adverse effects when compared to plasma levels because of saliva’s closer representation of biologically-active clozapine. Salivary collection is also non-invasive and can be sampled serially for more precise evaluation of intra-individual variations. In the present investigation, we set out to evaluate the agreement and comparative clinical utility between plasma and salivary clozapine levels. Methods 53 participants with schizophrenia and on stable doses of clozapine for at least 2 weeks were recruited for the study. Participants had to undergo a clinical interview and the SCID, PANSS, plus side effect scales were administered. Symptomatic remission status was defined using the symptom criteria proposed by Andreasen et al (2005). A fasting sample of venous blood and salivary sample were collected at the same time. Assays for clozapine and norclozapine were performed using high performance liquid chromatography. A total of 106 saliva and plasma samples have been analysed. Results Our results showed strong correlations between plasma and salivary levels of clozapine (r=0.61, P

Novel organic cation transporter 2 (OCTN2) is a multispecific, bidirectional, pH-dependent organic cation transporter. It can function as a carnitine co-transporter with higher affinity for carnitine than OCTN1 but also functions as a uniporter for other cations. Drugs such as verapamil, pyrilamine and beta-lactam antibiotics have been characterized as substrates of OCTN2 and/or inhibitors of carnitine transport. This study identified variants of the SLC22A5 gene in two distinct ethnic groups of the Singaporean population (n=192) by DNA sequencing. Twenty-eight genetic variants of SLC22A5, including 13 that were novel, were found: 14 were located in the coding exons, 10 in the introns, 1 in the promoter region, 2 in the 5'-untranslated region and 1 in the 3'-untranslated region. Among the novel nonsynonymous variants, Asp122Tyr was predicted to be functionally significant. Functional nonsynonymous variants detected include Ser467Cys and Arg254X; the latter resulted in a premature stop codon and is predicted to result in a truncated protein that is less than half the molecular mass of wild-type OCTN2. These data constitute fundamental information of value for future pharmacogenetic studies in Asian populations on drugs that are substrates of OCTN2.

The novel organic cation transporter 1 (OCTN1) is a multispecific, bidirectional and pH-dependent organic cation transporter with low carnitine transport activity. It is a transporter of the physiological substance ergothioneine and mediates the transport of a variety of organic cations such as tetraethylammonium, pyrilamine and quinidine. This study identifies genetic variations of the SLC22A4 gene in two distinct ethnic groups of the Singaporean population (n=192) by DNA sequencing. Twenty four genetic variants of SLC22A4, including 14 found to be novel. 16 in the coding exons (10 nonsynonymous and 6 synonymous variations) and 8 in the introns. Among the novel nonsynonymous variations, Arg63His, Arg83Pro, Met344Lys and Ile500Asn were predicted to be functionally significant. These data should provide fundamental and useful information for pharmacogenetic studies on drugs that are substrates of OCTN1 in Asians.

MRP2 is a drug transporter that is responsible for the gastrointestinal absorption and biliary excretion of a wide variety of endogenous and xenobiotic compounds, including many clinically used drugs. This study aims to identify genetic variations of ABCC2 gene in three distinct ethnic groups of the Singaporean population (n = 288). The coding region of the gene encoding the transporter protein was screened for genetic variations in the study population by denaturing high-performance liquid chromatography and DNA sequencing. Twenty-two genetic variations of ABCC2, including 8 novel ones, were found: 1 in the 5' untranslated region, 10 in the coding exons (8 nonsynonymous and 2 synonymous variations), and 11 in the introns. Three novel nonsynonymous variations: 2686G > A (Glu896Lys), 4240C > T (His1414Tyr) and 4568A > C (Gln1523Pro) were detected in single heterozygous Malay, Chinese, and Indian subjects, respectively. Among the novel nonsynonymous variations, 4240C > T and 4568A > C were predicted to be functionally significant. These data would provide fundamental and useful information for pharmacogenetic studies on drugs that are substrates of MRP2 in Asians.

OATP1B1 is a liver-specific transporter that mediates the uptake of various endogenous and exogenous compounds including many clinically used drugs from blood into hepatocytes. This study aims to identify genetic variations of SLCO1B1 gene in three distinct ethnic groups of the Singaporean population (n=288). The coding region of the gene encoding the transporter protein was screened for genetic variations in the study population by denaturing high-performance liquid chromatography and DNA sequencing. Twenty-five genetic variations of SLCO1B1, including 10 novel ones, were found: 13 in the coding exons (9 nonsynonymous and 4 synonymous variations), 6 in the introns, and 6 in the 3' untranslated region. Four novel nonsynonymous variations: 633AG (Ile211Met), 875CT (Ala292Val), 1837TC (Cys613Arg), and 1877TA (Leu626Stop) were detected as heterozygotes. Among the novel nonsynonymous variations, 633AG, 1837TC, and 1877TA were predicted to be functionally significant. These data would provide fundamental and useful information for pharmacogenetic studies on drugs that are substrates of OATP1B1 in Asians.

Total vitamin D levels had been commonly reported to be lowered in patients with chronic psychotic illnesses in countries from the higher latitudes. However, studies on patients with first episode psychosis (FEP) are limited. In this study we investigated serum concentrations of total and bioavailable vitamin D levels in FEP patients compared to healthy controls and the association between symptom severity and vitamin D components. A total of 31 FEP patients and 31 healthy controls were recruited from Institute of Mental Health, Singapore. FEP patients were identified using Structured Clinical Interview for DSM-IV Axis I disorders (SCID-1) and severity symptoms were assessed using the positive and negative syndrome scale (PANSS). Sera from participants were analyzed for total vitamin D, vitamin D-binding protein (DBP) and bioavailable vitamin D. Linear regressions were performed to examine the associations between serum total and bioavailable vitamin D and the PANSS subscales. Current study noted a significantly lower bioavailable vitamin D was in the FEP group and an association between bioavailable vitamin D and negative symptoms in FEP patients in a population with a consistent supply of sun exposure throughout the year.

Contemporary chemotherapeutic treatments incorporate the use of several agents in combination. However, selecting the most appropriate drugs for such therapy is not necessarily an easy or straightforward task. Here, we describe a targeted approach that can facilitate the reliable selection of chemotherapeutic drug combinations through the interrogation of drug-resistance gene networks. Our method employed single-cell eukaryote fission yeast (Schizosaccharomyces pombe) as a model of proliferating cells to delineate a drug resistance gene network using a synthetic lethality workflow. Using the results of a previous unbiased screen, we assessed the genetic overlap of doxorubicin with six other drugs harboring varied mechanisms of action. Using this fission yeast model, drug-specific ontological sub-classifications were identified through the computation of relative hypersensitivities. We found that human gastric adenocarcinoma cells can be sensitized to doxorubicin by concomitant treatment with cisplatin, an intra-DNA strand crosslinking agent and suberoylanilide hydroxamic acid, a histone deacetylase inhibitor. Our findings point to the utility of fission yeast as a model and the differential targeting of a conserved gene interaction network when screening for successful chemotherapeutic drug combinations for human cells.

The ultra-high risk (UHR) state was originally conceived to identify individuals at imminent risk of developing psychosis. Although recent studies have suggested that most individuals designated UHR do not, they constitute a distinctive group, exhibiting cognitive and functional impairments alongside multiple psychiatric morbidities. UHR characterization using molecular markers may improve understanding, provide novel insight into pathophysiology, and perhaps improve psychosis prediction reliability. Whole-blood gene expressions from 56 UHR subjects and 28 healthy controls are checked for existence of a consistent gene expression profile (signature) underlying UHR, across a variety of normalization and heterogeneity-removal techniques, including simple log-conversion, quantile normalization, gene fuzzy scoring (GFS), and surrogate variable analysis. During functional analysis, consistent and reproducible identification of important genes depends largely on how data are normalized. Normalization techniques that address sample heterogeneity are superior. The best performer, the unsupervised GFS, produced a strong and concise 12-gene signature, enriched for psychosis-associated genes. Importantly, when applied on random subsets of data, classifiers built with GFS are “meaningful” in the sense that the classifier models built using genes selected after other forms of normalization do not outperform random ones, but GFS-derived classifiers do. Data normalization can present highly disparate interpretations on biological data. Comparative analysis has shown that GFS is efficient at preserving signals while eliminating noise. Using this, we demonstrate confidently that the UHR designation is well correlated with a distinct blood-based gene signature.

Background In order to provide gene expression profiles of different cell types, the primary step is to isolate the specific cells of interest via laser capture microdissection (LCM), followed by extraction of good quality total RNA sufficient for quantitative real-time polymerase chain reaction (qPCR) analysis. This LCM-qPCR strategy has allowed numerous gene expression studies on specific cell populations, providing valuable insights into specific cellular changes in diseases. However, such strategy imposed challenges as cells of interests are often available in limited quantities and quality of RNA may be compromised during long periods of time spent on collection of cells and extraction of total RNA; therefore, it is crucial that protocols for sample preparation should be optimised according to different cell populations. Findings We made several modifications to existing protocols to improve the total RNA yield and integrity for downstream qPCR analyses. A modified condensed hematoxylin and eosin (H&E) staining protocol was developed for the identification of rat renal proximal tubular cells (PTCs). It was then determined that a minimal of eight thousands renal PTCs were required to meet the minimal total RNA yield required for downstream qPCR. RNA integrity was assessed using at every progressive step of sample preparation. Therefore, we decided that the shortened H&E staining, together with microdissection should be performed consecutively within twenty minutes for good quality for gene expression analysis. These modified protocols were later applied on six individual rat samples. A panel of twenty rat renal drug transporters and five housekeeping genes showed Ct values below thirty-five, confirming the expression levels of these drug transporters can be detected. Conclusions We had successfully optimized the protocols to achieve sufficient good quality total RNA from microdissected rat renal PTCs for gene expression profiling via qPCR. This protocol may be suitable for researchers who are interested in employing similar applications for gene expression studies.

Aims This study evaluated the pharmacokinetics of gabapentin in Chinese subjects who received a diet rich in shiitake mushrooms. Shiitake mushrooms have been shown to contain high amount of ergothioneine. In vitro studies have shown that OCTN1-mediated secretion of gabapentin is trans-stimulated by ergothioneine. This study also investigated the concentrations of ergothioneine in plasma at baseline and following mushroom consumption. Methods Ten healthy male subjects were recruited and received a diet containing no mushrooms (treatment A) or a high mushroom diet (treatment B; after at least a 7 day washout period) 1 day prior to administration of a single oral dose of gabapentin 600 mg. Results Ingestion of shiitake mushrooms produced significant increases in plasma ergothioneine concentrations that were sustained for more than 48 h. A statistically significant but modest increase in the renal clearance (CLR) of gabapentin occurred after intake of the mushroom diet (91.1 ± 25.1 vs. 76.9 ± 20.6 ml min−1, P = 0.031). No significant changes in AUC(0,tlast) of gabapentin were observed (P = 0.726). Creatinine clearance did not correlate with CLR of gabapentin at baseline (treatment A). After ingestion of the mushroom diet, creatinine clearance accounted for 65.3% of the variance in CLR of gabapentin. Conclusions These data suggest that diet–drug pharmacokinetic interactions may occur during co-exposure to gabapentin and mushroom constituents. However, as it does not affect the AUC(0,tlast) of gabapentin, it may not have clinically important consequences. Shiitake mushrooms can also be used as a source of ergothioneine for future clinical studies.

This study evaluated the pharmacokinetics of gabapentin in Chinese subjects who received a diet rich in shiitake mushrooms. Shiitake mushrooms have been shown to contain high amount of ergothioneine. In vitro studies have shown that OCTN1-mediated secretion of gabapentin is trans-stimulated by ergothioneine. This study also investigated the concentrations of ergothioneine in plasma at baseline and following mushroom consumption.Ten healthy male subjects were recruited and received a diet containing no mushrooms (treatment A) or a high mushroom diet (treatment B; after at least a 7 day washout period) 1 day prior to administration of a single oral dose of gabapentin 600 mg.Ingestion of shiitake mushrooms produced significant increases in plasma ergothioneine concentrations that were sustained for more than 48 h. A statistically significant but modest increase in the renal clearance (CLR ) of gabapentin occurred after intake of the mushroom diet (91.1 ± 25.1 vs. 76.9 ± 20.6 ml min(-1) , P = 0.031). No significant changes in AUC(0,tlast ) of gabapentin were observed (P = 0.726). Creatinine clearance did not correlate with CLR of gabapentin at baseline (treatment A). After ingestion of the mushroom diet, creatinine clearance accounted for 65.3% of the variance in CLR of gabapentin.These data suggest that diet-drug pharmacokinetic interactions may occur during co-exposure to gabapentin and mushroom constituents. However, as it does not affect the AUC(0,tlast ) of gabapentin, it may not have clinically important consequences. Shiitake mushrooms can also be used as a source of ergothioneine for future clinical studies.