Metabolic syndrome in schizophrenia: Differences between antipsychotic-naïve and treated patients

Employing graph attention networks to decode psycho-metabolic interactions in Schizophrenia

Schizophrenia is a severe mental disorder characterized by intricate and underexplored interactions between psychological symptoms and metabolic health, presenting challenges in understanding the disease mechanisms and designing effective treatment strategies. To delve deeply into the complex interactions between mental and metabolic health in patients with schizophrenia, this study constructed a psycho-metabolic interaction network and optimized the Graph Attention Network (GAT). This approach reveals complex data patterns that traditional statistical analyses fail to capture. The results show that weight management and medication management play a central role in the interplay between psychiatric disorders and metabolic health. Furthermore, additional analysis revealed significant correlations between the history of psychiatric symptoms and physical health indicators, as well as the key roles of biochemical markers(e.g., triglycerides and low-density lipoprotein cholesterol), which have not been sufficiently emphasized in previous studies. This highlights the importance of medication management approaches, weight management, psychological treatment, and biomarker monitoring in comprehensive treatment and underscores the significance of the biopsychosocial model. This study is the first to utilize a GNN to explore the interactions between schizophrenia symptoms and metabolic features, providing new insights into understanding psychiatric disorders and guiding the development of more comprehensive treatment strategies for schizophrenia.

A Versatile Prison Psychiatric Pharmacy Program

BACKGROUND

Before the coronavirus disease 2019 (COVID-19) pandemic, 20% of the adult population in the United States experienced mental illness annually. Since the COVID-19 pandemic, 93% of countries have reported disruptions to mental health services. The demand for services is high whereas infrastructure and qualified professionals are appallingly low. Health care in the correctional setting is unique, where mental illness prevalence is double than that in the community. The intersection of policies and procedures and the beneficence plus nonmaleficence responsibility of health care professionals is exceptionally complex. Studies have shown the potential benefits of pharmacists following patients in chronic care psychiatry visits.

OBJECTIVES

An inpatient psychiatric pharmacy clinic was launched to fill gaps to provide safe and up-to-date patient-centric services for more than 240 extremely psychiatrically ill inmate patients at the Federal Correctional Center Butner (FCC Butner), a Federal Bureau of Prisons medical center.

METHODS

The inpatient psychiatric pharmacist practiced independently under a collaborative practice agreement and completed mental health clinical visits for a revolving portion of 240 inpatient mental health inmate patients at FCC Butner. The pharmacist provided ancillary services including completing movement disorder testing, monitoring narrow therapeutic index medication laboratory test results, and executing an antipsychotic psychoeducation meeting with other health care departments and inmate patients.

RESULTS

Notably, 74% of patients monitored in the specialty program experienced stable or improved symptoms of depression, schizophrenia, and bipolar disorder. Adverse effects, particularly psychiatric-related movement disorders, were also more closely managed. Finally, 43% of the total inmate patient population who previously declined psychiatric medication treatment consented to begin treatment after participation in a pilot antipsychotic psychoeducation meeting.

CONCLUSION

The inpatient psychiatric pharmacy program at FCC Butner is a dynamic program that has bolstered the facility's health care mission. The services detailed in this article can be applied to other correctional environments that have a medical outpatient or inpatient presence.

Assessing Effects of Diet Alteration on Carbohydrate-Lipid Metabolism of Antipsychotic-Treated Schizophrenia Patients in Interventional Study

This study aimed at finding whether healthy eating habits could be introduced to and maintained by chronically mentally ill permanent residents of a nursing home. Of interest was also if the effects of the dietary intervention would be observable as improved carbohydrate and lipid metabolism indicators were selected. Assays covered 30 antipsychotics-treated residents diagnosed with schizophrenia. The prospective method applied involved questionnaires, nutrition-related interviews, anthropometric measurements, and determination of selected biochemical parameters of the blood. The dietary intervention as well as the parallel health-promoting nutrition-related education was aimed at balancing the energy and nutrient contents. Schizophrenia patients were shown to be capable of accepting and observing the principles of appropriate nutrition. The intervention was strong enough to result in a significant blood glucose concentration drop to the reference level in all patients, regardless of the antipsychotic they were treated with. The blood lipid levels also improved, but the reduction in triacylglycerols, total cholesterol and LDL-cholesterol levels was significant in the male patients only. Nutritional changes were reflected in overweight and obese women only, in body weight reduction and in waist adipose tissue loss.

Levels of Acylcarnitines and Branched-Chain Amino Acids in Antipsychotic-Treated Patients with Paranoid Schizophrenia with Metabolic Syndrome

Several studies have shown that patients with schizophrenia are at high risk for metabolic syndrome (MetS) and bioenergetic dysfunction. Because acylcarnitines are involved in bioenergetic pathways and reflect the functioning of mitochondria, we hypothesized that these compounds are biomarkers of MetS in schizophrenia. The aim of this work was to quantify acylcarnitines and branched-chain amino acids in patients with schizophrenia comorbid with MetS. The study included 112 patients with paranoid schizophrenia treated with antipsychotics. Among them, 39 subjects met criteria of MetS. Concentrations of 30 acylcarnitines and three amino acids in dry serum spots were measured by liquid chromatography coupled with tandem mass spectrometry. MetS patients were found to have higher levels of valeryl carnitine (C5), leucine/isoleucine, and alanine as compared with patients without MetS, indicating possible participation of these compounds in the pathogenesis of metabolic disorders in schizophrenia. In patients with paranoid schizophrenia with or without MetS, lower levels of carnitines C10, C10:1, C12, and C18 were recorded as compared with the healthy individuals (n = 70), implying deterioration of energy metabolism. We believe that this finding can be explained by effects of antipsychotic medication on an enzyme called carnitine-palmitoyl transferase I.

Previous exposure to antipsychotic drug treatment is an effective predictor of metabolic disturbances experienced with current antipsychotic drug treatments

BACKGROUND

Antipsychotic drugs are associated with adverse events, but serious side effects are not frequent. This study aimed to ascertain whether previous exposure to antipsychotic treatment was associated with metabolic disturbances induced by current antipsychotic medication.

METHODS

A total of 115 antipsychotic-naïve patients, 65 patients with previous exposure to low-metabolic-risk antipsychotics, and 88 patients with previous exposure to high-metabolic-risk antipsychotics were enrolled in our case-control study. All patients were administered olanzapine. Body weight, body mass index (BMI), biochemical indicators of blood glucose and lipids, the proportion of patients who gained more than 7% of their body weight at baseline, and the percentage of dyslipidemia were evaluated. All assessments were conducted at baseline and at 4 and 6 weeks after treatment.

RESULTS

Olanzapine treatment resulted in a significant increase in body weight and BMI in antipsychotic-naïve patients compared with the other two groups (both p < 0.05). However, increases in lipid levels in the high-metabolic-risk antipsychotics group were significantly higher than that in the other two groups (both p < 0.05). A history of antipsychotics use was not associated with weight gain (all p > 0.05). Higher low-density lipoprotein cholesterol ≥3.37 mmol/L^-1 was observed in antipsychotics exposure group compared with no history of antipsychotics exposure (aOR, 1.75; 95% CI, 1.07-3.52). Particularly, a history of high-metabolic-risk antipsychotics use was associated with a higher risk of LDL-C ≥3.37 mmol/L-1(aOR, 2.18; 95% CI, 1.03-3.32) compare with other two groups.

CONCLUSIONS

A history of exposure to antipsychotics, particularly high-metabolic-risk antipsychotics, is associated with current antipsychotic-induced metabolic disturbances.

Gait Alterations in the Prediction of Metabolic Syndrome in Patients With Schizophrenia: A Pilot Study With PODOSmart ® Insoles

BACKGROUND

Second-generation antipsychotics (APs) are associated with metabolic syndrome (MetS), characterized by abnormal pro-inflammatory cytokine production and oxidative stress due to the reduced antioxidant systems, and neurological effects, including mobility impairment. This pilot study investigated relationships between inflammatory-metabolic biomarkers, MetS and gait alterations in patients with psychosis treated with APs.

METHODS

Patients with psychosis treated with APs, 20 with MetS (MPS group) and 20 without MetS (PS group) were studied, usinganthropometric data, blood measurements and gait analysis performed with the PODOSmart ® gait analysis device.

RESULTS AND DISCUSSION

The MPS group had significantly higher mean body mass index (BMI) and arterial blood pressure (BP) than the PS group. PODOSmart ® gait analysis recorded significant differences between groups in pronation-supination at Heel Off (HO), gaitline HO and gaitline Toe Off (TO). Multifactorial elastic net regression models demonstrated significant association with MetS of inflammatory markers, specific AP2 treatment, gender, age; BMI; BP and smoking (accuracy λ = 0.08), and in relation to gait parameters (accuracy λ = 0.750), the three pronation- supination variables, i.e., at HO, flat foot in (AP2 related) and TO, and propulsion speed. The gait parameters were at the edges of the model, thus indicating a more significant role of these parameters compared to the other clinical variables. Early diagnosis of MetS in patients with schizophrenia via identification of gait alterations can be a screening measure for serious cardiovascular complications related to psychosis and APs, to enable timely dietary intervention that can control the pro-inflammatory state and reduce oxidative stress.

Metabolic syndrome in antipsychotic-naïve patients with first-episode psychosis: a systematic review and meta-analysis

BACKGROUND

It is unclear what the prevalence of metabolic syndrome (MetS) in drug-naïve first-episode of psychosis (FEP) is, as previous meta-analyses were conducted in minimally exposed or drug-naïve FEP patients with psychotic disorder at any stage of the disease; thus, a meta-analysis examining MetS in naïve FEP compared with the general population is needed.

METHODS

Studies on individuals with FEP defined as drug-naïve (0 days exposure to antipsychotics) were included to conduct a systematic review. A meta-analysis of proportions for the prevalence of MetS in antipsychotic-naïve patients was performed. Prevalence estimates and 95% CI were calculated using a random-effect model. Subgroup analyses and meta-regressions to identify sources and the amount of heterogeneity were also conducted.

RESULTS

The search yielded 4143 articles. After the removal of duplicates, 2473 abstracts and titles were screened. At the full-text stage, 112 were screened, 18 articles were included in a systematic review and 13 articles in the main statistical analysis. The prevalence of MetS in naïve (0 days) FEP is 13.2% (95% CI 8.7-19.0). Ethnicity accounted for 3% of the heterogeneity between studies, and diagnostic criteria used for MetS accounted for 7%. When compared with controls matched by sex and age, the odds ratio is 2.52 (95% CI 1.29-5.07; p = 0.007).

CONCLUSIONS

Our findings of increased rates of MetS in naïve FEP patients suggest that we are underestimating cardiovascular risk in this population, especially in those of non-Caucasian origin. Our findings support that altered metabolic parameters in FEPs are not exclusively due to antipsychotic treatments.

Metabolomic connections between schizophrenia, antipsychotic drugs and metabolic syndrome: A variety of players

BACKGROUND

Diagnosis of schizophrenia lacks of reliable medical diagnostic tests and robust biomarkers applied to clinical practice. Schizophrenic patients undergoing treatment with antipsychotics suffer a reduced life expectancy due to metabolic disarrangements that co-exist with their mental illness and predispose them to develop metabolic syndrome, also exacerbated by medication. Metabolomics is an emerging and potent technology able to accelerate this biomedical research. <P> Aim: This review focus on a detailed vision of the molecular mechanisms involved both in schizophrenia and antipsychotic-induced metabolic syndrome, based on innovative metabolites that consistently change in nascent metabolic syndrome, drug-naïve, first episode psychosis and/or schizophrenic patients compared to healthy subjects. <P> Main lines: Supported by metabolomic approaches, although not exclusively, noteworthy variations are reported mainly through serum samples of patients and controls in several scenes: 1) alterations in fatty acids, inflammatory response indicators, amino acids and biogenic amines, biometals and gut microbiota metabolites (schizophrenia); 2) alterations in metabolites involved in carbohydrate and gut microbiota metabolism, inflammation and oxidative stress (metabolic syndrome), some of them shared with the schizophrenia scene; 3) alterations of cytokines secreted by adipose tissue, phosphatidylcholines, acylcarnitines, Sirtuin 1, orexin-A and changes in microbiota composition (antipsychotic-induced metabolic syndrome). <P> Conclusion: Novel insights into the pathogenesis of schizophrenia and metabolic side-effects associated to its antipsychotic treatment, represent an urgent request for scientifics and clinicians. Leptin, carnitines, adiponectin, insulin or interleukin-6 represent some examples of candidate biomarkers. Cutting-edge technologies like metabolomics have the power of strengthen research for achieving preventive, diagnostic and therapeutical solutions for schizophrenia.

Electrocardiographic Evaluation of the Ventricular Arrhythmia Risk in Patients Diagnosed With Schizophrenia

OBJECTIVE

The purpose of this study was to examine electrocardiographic ventricular arrhythmia predictors in patients with schizophrenia by comparing with healthy controls.

METHODS

The study included 100 patients with schizophrenia and 100 healthy controls. Electrocardiography (ECG) was performed on all participants in resting position. T-wave peak to end (Tp-e), QT ranges, P-wave dispersion (Pd), and R-R range were measured. Then, the Schizophrenia Positive and Negative Syndrome Scale (PANSS) and the Calgary Depression Scale for Schizophrenia (CDSS) were applied to the schizophrenia group.

RESULTS

The PANSS positive symptom subscale was calculated as 10.41 (SD = 2.27), the negative symptom subscale was calculated as 14.44 (SD = 5.42), and the overall functionality level was calculated as 27.04 (SD = 5.43). The mean CDSS score was determined to be 3.74 (SD = 2.15). No differences were detected in the heart rate measurements of the patient and control groups in ECG results (P = .427). The minimum QT interval and minimum Tp-e wave times were found to be low in the patient group (P < .001 for both intervals). Corrected QTc dispersion, Pd, Tp-e dispersion, and QT dispersion were found to be higher in the patient group than in healthy controls (P < .001 for all intervals).

DISCUSSION

Based on our results, it is possible to speculate that patients with schizophrenia are at a risk of developing cardiac arrhythmia and cardiac dysfunction if they do not receive treatment. For this reason, clinicians should pay attention to cardiac transmission problems when organizing the treatment of patients. Further studies should be conducted to determine cardiac problems in patients with schizophrenia.

The Association Between Metabolic Disturbance and Cognitive Impairments in Early-Stage Schizophrenia

Background: Cognitive impairment is one of the core symptoms of schizophrenia, which is considered to be significantly correlated to prognosis. In recent years, many studies have suggested that metabolic disorders could be related to a higher risk of cognitive defects in a general setting. However, there has been limited evidence on the association between metabolism and cognitive function in patients with early-stage schizophrenia.

Methods: In this study, we recruited 172 patients with early-stage schizophrenia. Relevant metabolic parameters were examined and cognitive function was evaluated by using the MATRICS Consensus Cognitive Battery (MCCB) to investigate the relationship between metabolic disorder and cognitive impairment.

Results: Generally, the prevalence of cognitive impairment among patients in our study was 84.7% (144/170), which was much higher than that in the general population. Compared with the general Chinese setting, the study population presented a higher proportion of metabolic disturbance. Patients who had metabolic disturbance showed no significant differences on cognitive function compared with the other patients. Correlation analysis showed that metabolic status was significantly correlated with cognitive function as assessed by the cognitive domain scores (p < 0.05), while such association was not found in further multiple regression analysis.

Conclusions: Therefore, there may be no association between metabolic disorder and cognitive impairment in patients with early-stage schizophrenia.

Trial Registration: Clinicaltrials.gov, NCT03451734. Registered March 2, 2018 (retrospectively registered).

The Role of Medical Comorbidity in the Rapid Psychiatric Readmission of Patients With Schizophrenia-spectrum Disorders

OBJECTIVE

Inpatient admissions are common for individuals with schizophrenia-spectrum disorders, and difficulty transitioning from the hospital to the community results in these individuals being at high risk for hospital readmissions. Thus, psychotic disorders account for high rates of rapid readmission within 30 days of discharge. Increasing evidence highlights the role of comorbid medical conditions, such as circulatory and metabolic problems, in contributing to early readmission rates for these patients. This study examined the specific role of circulatory and metabolic problems in predicting psychiatric rehospitalizations while accounting for other medical conditions, psychiatric comorbidities, and preadmission medications.

METHODS

The electronic medical records of 752 patients admitted to a psychiatric hospital were examined, with patients classified as having readmission within 30 days of their index hospitalization (n=79) or no readmission within 30 days (n=673). The 2 groups were compared on multiple variables in univariate and multivariate analyses.

RESULTS

Male sex [odds ratio (OR)=2.02, P=0.019)], disability status (OR=1.96, P=0.027), and presence of a circulatory (but not a metabolic) condition (OR=3.43, P=0.003) were associated with significantly increased odds of being rehospitalized within 30 days, even when accounting for additional predictors, including age, substance use disorder, race, and other medical conditions.

CONCLUSIONS

These findings highlight the importance of considering circulatory, in addition to metabolic disorders, during inpatient stays. This comorbidity pattern may signify a subset of individuals with schizophrenia-spectrum disorders requiring more comprehensive discharge planning and support after an inpatient hospitalization to prevent rapid rehospitalization.

Metformin ameliorates olanzapine-induced insulin resistance via suppressing macrophage infiltration and inflammatory responses in rats

AIMS

The present study aimed to investigate the possible effects of metformin on the olanzapine-induced insulin resistance in rats.

METHODS

Rats were randomly divided into three groups: the control (Control) group, the olanzapine (Ola) group and the olanzapine + metformin (Ola + Met) group. Rats in the Ola group received olanzapine (8 mg/kg/day) intraperitoneally while rats in the Ola + Met group received olanzapine (8 mg/kg/day) intraperitoneally and metformin (300 mg/kg/day) orally for 8 weeks. Rats in the Control group received vehicle accordingly. Body weight and fasting blood glucose were recorded routinely. Inflammatory cytokines TNF-α, IL-6 and IL-1β and IL-10 were measured by ELISA. The gene expression of macrophages markers was examined by qPCR. The epididymal white adipose tissue, liver and skeletal muscle were also isolated for immunohistochemical analysis.

RESULTS

Olanzapine significantly induced body weight gain and insulin resistance compared to the control, which was markedly alleviated by metformin. Pro-inflammatory cytokines TNF-α, IL-6 and IL-1β were upregulated while the anti-inflammatory cytokine IL-10 was downregulated by olanzapine in plasma and epididymal white adipose tissue compared to the control, but not the liver and skeletal muscle. However, metformin co-administration significantly decreased the levels of TNF-α, IL-6 and IL-1β while increased the level of IL-10 in epididymal white adipose tissue compared to olanzapine-treated rats. Moreover, olanzapine treatment markedly increased the expression of the CD68 and the M1 macrophage markers while decreased the expression of the M2 macrophage markers in epididymal white adipose tissue in rats compared to the control. However, metformin co-treatment ameliorated the effects of olanzapine.

CONCLUSIONS

Our results suggest that metformin alleviated olanzapine-induced insulin resistance possibly by suppressing the inflammatory responses mediated by macrophage infiltration and polarization in epididymal white adipose tissue.

A propensity score matching analysis for cardio metabolic risk of antipsychotics in patients with schizophrenia using Japanese claims data

BACKGROUND

The aim of this study was to evaluate the cardio-metabolic risk in schizophrenia patients treated by atypical antipsychotic drugs compared with that in those treated without atypical antipsychotic drugs using a nationwide insurance claims database and medical examination database in Japan.

METHODS

Eligible patients were defined as those meeting the following two criteria: (i) A diagnosis of schizophrenia (ICD-10 code: F20) was made between 1 January 2005 and 31 December 2017, with data available for at least 6 months before the diagnosis was made (index month), and (ii) health check-up data were available within ±3 months of the index month. The primary endpoint was changes in cardio-metabolic risk based on the Suita score at 1 year, and the secondary endpoints were changes in medical examination data related to cardio-metabolic risk (total cholesterol [TC], triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, body mass index [BMI], and hemoglobin A1c) at 1 year. The primary endpoint was evaluated by multivariate analysis, with the cumulative chlorpromazine equivalent amount and the baseline Suita score added as covariates.

RESULTS

One-hundred eighty five pairs of propensity score (PS)-matched patients were evaluated. Patients receiving atypical antipsychotic drugs exhibited a greater change in the Suita score and a risk of coronary heart disease based on the Suita score of 0.530 and 0.098%, respectively, than patients not receiving atypical antipsychotic drugs, but there was no significant difference (p = 0.412 and 0.610). The significant changes in TC and BMI were determined as 6.525 mg/dL and 0.380 kg/m2 greater, respectively, in patients treated with atypical antipsychotic drugs (p = 0.037 and 0.011).

CONCLUSIONS

There were no significant increases in changes in the Suita score at 1 year by treatment with atypical antipsychotic drugs compared with treatment without atypical antipsychotic drugs. However, the TC and BMI were significantly higher in patients treated with atypical antipsychotic drugs.

Body Fat Parameters, Glucose and Lipid Profiles, and Thyroid Hormone Levels in Schizophrenia Patients with or without Metabolic Syndrome

In this study, we aim to investigate associations between body fat parameters, glucose and lipid profiles, thyroid-stimulating hormone (TSH), and thyroid hormones (THs) levels in Tomsk-region schizophrenia patients depending upon the presence or absence of metabolic syndrome (MetS). A total of 156 psychiatric inpatients with schizophrenia who had been treated with antipsychotics for at least six months before entry were studied: 56 with and 100 without MetS. Reference groups consisted of general hospital inpatients with MetS and without schizophrenia (n = 35) and healthy individuals (n = 35). Statistical analyses were performed using the Mann–Whitney U-test, chi-square test, Spearman’s rank correlation coefficient, multiple regression analyses, and descriptive statistics. Patients with schizophrenia and MetS had significantly higher levels of free triiodothyronine (FT3) and thyroxine (FT4) compared to schizophrenia patients without MetS (3.68 [3.25; 5.50] vs. 3.24 [2.81; 3.66], p = 0.0001, and 12.68 [10.73; 15.54] vs. 10.81 [9.76; 12.3], p = 0.0001, in pmol/L, respectively). FT3 maintained an association with MetS (p = 0.0001), sex (p = 0.0001), age (p = 0.022), and high-density lipoproteins (p = 0.033). FT4 maintained an association with MetS (p = 0.0001), sex (p = 0.001), age (p = 0.014), and glucose (p = 0.009). The data obtained showed body fat parameters, glucose and lipid profiles, and THs levels in Western-Siberian schizophrenia patients depending on MetS presence or absence.

Evaluation of arterial stiffness in patients with schizophrenia

The aim of this study was to evaluate arterial stiffness in schizophrenia patients. 28 male patients were included. The intima-media thickness (IMT) of the vessels were taken using high-resolution ultrasonography system. The mean carotid IMT and the mean femoral IMT values of the study group were found to be statistically significantly higher than the values of the control group. As the duration of the disease increased, there was an increase in the carotid IMT, carotid elastic modulus and femoral IMT, whereas there was a decrease in carotid and femoral diastolic wall stress in patients. No statistically significant differences were observed between the groups' carotid and femoral compliance, distensibility and elastic modulus values. The mean systolic arterial blood pressure in the patient group was determined to be lower than that of the control group. The mean diastolic wall stress values in the carotid and femoral arteries were determined to be lower than those of the control group. There was no relationship between antipsychotic dose, blood pressure and arterial stiffness parameters. Schizophrenia patients are more prone to develop arterial stiffness by atherosclerosis either with the effect of the nature of the disease itself or antipsychotic treatment. But evaluation with more parameters (carotid and femoral compliance, distensibility and elastic modulus) did not indicate any difference from the control group in respect of arterial stiffness. Antipsychotic treatment may play a protective role in terms of arterial stiffness by causing a decrease in systolic arterial pressure and carotid and femoral diastolic wall stress.

High prevalence of metabolic alterations in Latin American patients at initial stages of psychosis

AIM

Studies conducted in the United States have highlighted a higher prevalence of metabolic alterations (MA) in Latino population and Latino psychotic patients. Metabolic risk in psychosis is known to be present from initial stages of the disease. To better characterize this population, we explored the prevalence of MA and metabolic syndrome (MS) in early psychosis patients in a Latin American country.

METHODS

Transversal, observational study comparing the prevalence of MA and MS in patients with early psychosis from an outpatient program in Chile (n = 148) with a community representative sample from the 2009-2010 National Health Survey (n = 568). ANOVA and regression analysis were performed obtaining odds ratio for MA and MS.

RESULTS

The prevalence of MS was 44.7% in patients compared to 11.4% in the community sample (odds ratio [OR] 5.28, confidence interval [CI] 95% 3.07-9.08; P-value <0.001). There was no effect of gender. Subgroup analyses showed no significant association of MS with clozapine/olanzapine use, treatment duration or tobacco use. There was an association between treatment duration and hypertriglyceridemia (P = 0.024; OR 1.02, CI 95% 1.00-1.04) and obesity (P = 0.007; OR 5.93, CI 95% 1.82-20.22). Clozapine/olanzapine use was associated with hyperglycaemia (P = 0.007; OR 6.04, CI 95% 1.63-22.38) and high low density lipoprotein (P = 0.033 ANOVA; OR 5.28, CI 95% 1.14-24.37).

CONCLUSION

Latino psychotic patients have a high risk of MA and MS at initial stages of the disease which is not entirely explained by the higher risk in the whole Latino population, is irrespective of gender, and does not seem to be entirely a response to atypical antipsychotic use.

Second-Generation Antipsychotics and Dysregulation of Glucose Metabolism: Beyond Weight Gain

Second-generation antipsychotics (SGAs) are the cornerstone of treatment for schizophrenia because of their high clinical efficacy. However, SGA treatment is associated with severe metabolic alterations and body weight gain, which can increase the risk of type 2 diabetes and cardiovascular disease, and greatly accelerate mortality. Several underlying mechanisms have been proposed for antipsychotic-induced weight gain (AIWG), but some studies suggest that metabolic changes in insulin-sensitive tissues can be triggered before the onset of AIWG. In this review, we give an outlook on current research about the metabolic disturbances provoked by SGAs, with a particular focus on whole-body glucose homeostasis disturbances induced independently of AIWG, lipid dysregulation or adipose tissue disturbances. Specifically, we discuss the mechanistic insights gleamed from cellular and preclinical animal studies that have reported on the impact of SGAs on insulin signaling, endogenous glucose production, glucose uptake and insulin secretion in the liver, skeletal muscle and the endocrine pancreas. Finally, we discuss some of the genetic and epigenetic changes that might explain the different susceptibilities of SGA-treated patients to the metabolic side-effects of antipsychotics.

Polygenic risk for schizophrenia, disordered eating behaviours and body mass index in adolescents

BACKGROUND

Recent studies suggest psychotic and eating disorders can be comorbid and could have shared genetic liability. However, this comorbidity has been overlooked in the epidemiological literature.AimsTo test whether polygenic risk scores (PRS) for schizophrenia are associated with disordered eating behaviours and body mass index (BMI) in the general population.

METHOD

Using data from the Avon Longitudinal Study of Parents and Children and random-effects logistic and linear regression models, we investigated the association between PRS for schizophrenia and self-reported disordered eating behaviours (binge eating, purging, fasting and excessive exercise) and BMI at 14, 16 and 18 years.

RESULTS

Of the 6920 children with available genetic data, 4473 (64.6%) and 5069 (73.3%) had at least one disordered eating and one BMI outcome measurement, respectively. An s.d. increase in PRS was associated with greater odds of having binge eating behaviours (odds ratio, 1.36; 95% CI 1.16-1.60) and lower BMI (coefficient, -0.03; 95% CI, -0.06 to -0.01).

CONCLUSIONS

Our findings suggest the presence of shared genetic risk between schizophrenia and binge eating behaviours. Intermediate phenotypes such as impaired social cognition and irritability, previously shown to be positively correlated in this sample with schizophrenia PRS, could represent risk factors for both phenotypes. Shared genetic liability between binge eating and schizophrenia could also explain higher rates of metabolic syndrome in individuals with schizophrenia, as binge eating could be a mediator of this association in drug-naïve individuals. The finding of an association between greater PRS and lower BMI, although consistent with existing epidemiological and genetic literature, requires further investigation.Declaration of interestNone.

Exploring shared genetic bases and causal relationships of schizophrenia and bipolar disorder with 28 cardiovascular and metabolic traits

BACKGROUND

Cardiovascular diseases represent a major health issue in patients with schizophrenia (SCZ) and bipolar disorder (BD), but the exact nature of cardiometabolic (CM) abnormalities involved and the underlying mechanisms remain unclear. Psychiatric medications are known risk factors, but it is unclear whether there is a connection between the disorders (SCZ/BD) themselves and CM abnormalities.

METHODS

Using polygenic risk scores and linkage disequilibrium score regression, we investigated the shared genetic bases of SCZ and BD with 28 CM traits. We performed Mendelian randomization (MR) to elucidate causal relationships between the two groups of disorders. The analysis was based on large-scale meta-analyses of genome-wide association studies. We also identified the potential shared genetic variants and inferred the pathways involved.

RESULTS

We found tentative polygenic associations of SCZ with glucose metabolism abnormalities, adverse adipokine profiles, increased waist-to-hip ratio and visceral adiposity (false discovery rate or FDR&lt;0.05). However, there was an inverse association with body mass index. For BD, we observed several polygenic associations with favorable CM profiles at FDR&lt;0.05. MR analysis showed that SCZ may be causally linked to raised triglyceride and that lower fasting glucose may be linked to BD. We also identified numerous single nucleotide polymorphisms and pathways shared between SCZ/BD with CM traits, some of which are related to inflammation or the immune system.

CONCLUSIONS

Our findings suggest that SCZ patients may be genetically predisposed to several CM abnormalities independent of medication side effects. On the other hand, CM abnormalities in BD may be more likely to be secondary. However, the findings require further validation.

Acute onset clozapine-induced hyperglycaemia: A case report

Clozapine is an atypical antipsychotic which is described to have higher efficacy among all available antipsychotic medications. Clozapine is reserved especially for resistant schizophrenia due to its side effects. Clozapine-induced metabolic syndrome and hyperglycaemia are common long-term side effects and are responsible for increased mortality in patients with schizophrenia. In this case, a patient with resistant schizophrenia was presented with acute-onset hyperglycaemia and delirium with the use of clozapine within a week. Withdrawal of clozapine in the patient led to the improvement in delirium and hyperglycaemia without the use of any hypoglycaemic agent. This case supports the notion that in certain cases clozapine can induce hyperglycemia through possible direct pathophysiological mechanisms within a shorter time frame.

Dysglycaemia, Inflammation and Psychosis: Findings From the UK ALSPAC Birth Cohort

BACKGROUND

Psychosis is associated with both dysglycaemia and low-grade inflammation, but population-based studies investigating the interplay between these factors are scarce.

AIMS

(1) To explore the direction of association between markers of dysglycaemia, inflammation and psychotic experiences (PEs); and (2) To explore whether dysglycaemia moderates and/or mediates the association between inflammation and PEs.

METHOD

Data from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were modeled using logistic and linear regression to examine cross-sectional and longitudinal associations between markers of dysglycaemia (ages 9 and 18), interleukin-6 (IL-6) (age 9), and PEs (ages 12 and 18). We tested for an interaction between dysglycaemia and IL-6 on risk of PEs at age 18, and tested whether dysglycaemia mediated the relationship between IL-6 and PEs.

RESULTS

Based on 2627 participants, at age 18, insulin resistance (IR) was associated with PEs (adjusted OR = 2.32; 95% CI, 1.37-3.97). IR was associated with IL-6 both cross-sectionally and longitudinally. Interaction analyses under a multiplicative model showed that IR moderated the association between IL-6 at age 9 and PEs at age 18 (adjusted OR for interaction term = 2.18; 95% C.I., 1.06-4.49). Mediation analysis did not support a model of IR mediating the relationship between IL-6 and PEs.

IMPLICATIONS

IR is associated with PEs in young people even before the onset of clinical psychosis. Metabolic alterations may interact with childhood inflammation to increase risk of PEs. The findings have implications for clinical practice and future research.

Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database

Background:

The signal is defined as “reported information on a possible causal relationship between an adverse event and a drug, of which the relationship is unknown or incompletely documented previously”.

Objective:

To detect novel adverse events of iloperidone by disproportionality analysis in FDA database of Adverse Event Reporting System (FAERS) using Data Mining Algorithms (DMAs).

Methodology:

The US FAERS database consists of 1028 iloperidone associated Drug Event Combinations (DECs) which were reported from 2010 Q1 to 2016 Q3. We consider DECs for disproportionality analysis only if a minimum of ten reports are present in database for the given adverse event and which were not detected earlier (in clinical trials). Two data mining algorithms, namely, Reporting Odds Ratio (ROR) and Information Component (IC) were applied retrospectively in the aforementioned time period. A value of ROR-1.96SE>1 and IC- 2SD>0 were considered as the threshold for positive signal.

Results:

The mean age of the patients of iloperidone associated events was found to be 44years [95% CI: 36-51], nevertheless age was not mentioned in twenty-one reports. The data mining algorithms exhibited positive signal for akathisia (ROR-1.96SE=43.15, IC-2SD=2.99), dyskinesia (21.24, 3.06), peripheral oedema (6.67,1.08), priapism (425.7,9.09) and sexual dysfunction (26.6-1.5) upon analysis as those were well above the pre-set threshold.

Conclusion:

Iloperidone associated five potential signals were generated by data mining in the FDA AERS database. The result requires an integration of further clinical surveillance for the quantification and validation of possible risks for the adverse events reported of iloperidone.

Insulin Resistance in Schizophrenia

Schizophrenia and diabetes have been known to be linked disorders for decades. One reason is due to the fact that a major side effect of antipsychotic medication treatment is metabolic syndrome, which increases the risk of the patients developing type 2 diabetes and cardiovascular disorders. However, signs of metabolic syndrome in schizophrenia patients were identified more than 100 years ago, even before the development of antipsychotic drugs. This suggests that schizophrenia itself predisposes towards diabetes and, in turn, insulin resistance may be a risk factor for the development of schizophrenia. This review summarizes the findings surrounding this issue and places them into context with regards to increasing our understanding of the aetiology of schizophrenia and in support of biomarker and drug discovery efforts.

Metabolic syndrome in antipsychotic naive African patients with severe mental illness in usual care

BACKGROUND

To determine the prevalence and incidence of metabolic syndrome in individuals with a first episode of severe mental illness from South Africa.

METHODS

Antipsychotic naïve study subjects with a first episode of severe mental illness and control subjects were recruited at baseline for a prospective study. Individuals without metabolic syndrome at baseline were followed up for 12 months after antipsychotic medication was initiated. Metabolic syndrome was determined at baseline and at the 12-month follow-up using the Joint Interim Statement criteria.

RESULTS

At baseline, the 67 study (M:F; 48:19) and 67 control subjects (M:F; 48:19) had a mean age of 22.8 (±3.7) and 23.3 (±2.6) years (P = .4), respectively. The majority were of black African ethnicity (97%) and 82% were diagnosed with schizophrenia. There was no difference in the prevalence of metabolic syndrome (4.5%) or any of the individual components between the study and control group prior to the initiation of antipsychotics. Of the 64 study subjects without metabolic syndrome at baseline, only 36 (M:F; 25:11) completed the 12-month follow-up (response rate 56.3%) and 2 subjects developed metabolic syndrome .The incidence of metabolic syndrome was 5.5% with a significant increase in the elevated waist circumference criterion after 1 year of antipsychotic treatment (P = .02).

CONCLUSIONS

There was a low prevalence and incidence of metabolic syndrome in this group of patients with a first episode of severe mental illness.

Complex Polypharmacy in Patients With Schizophrenia-Spectrum Disorders Before a Psychiatric Hospitalization: Prescribing Patterns and Associated Clinical Features

BACKGROUND

Current evidence-based guidelines provide unclear support for many common polypharmacy practices in schizophrenia. Excessive or complex polypharmacy (≥4 psychotropics) has been studied in patients with bipolar disorder, but not in schizophrenia to date.

METHODS

We conducted a digital medical record data extraction of 829 patients consecutively admitted to a psychiatric hospital and diagnosed as having schizophrenia-spectrum disorders.

RESULTS

In those prescribed psychiatric medication preadmission, 28.1% (n = 169) met the criteria for complex polypharmacy. Complex polypharmacy patients were older, female, white, and disabled, and had more comorbidities compared with those without complex polypharmacy. In multivariable analysis, complex polypharmacy was specifically associated with being white and disabled, and having a comorbid anxiety disorder, tobacco use disorder, metabolic condition, and neurological condition compared with noncomplex polypharmacy patients.

CONCLUSIONS

Although there is little evidence to support complex polypharmacy in schizophrenia, rates were relatively high in patients requiring hospitalization, especially when they are also diagnosed as having comorbid psychiatric and medical conditions. Future research is needed to study the risk-benefit profile for these patients, especially considering their higher medical burden and related health risks.

The Wnt Signaling Pathway Effector TCF7L2 Mediates Olanzapine-Induced Weight Gain and Insulin Resistance

Olanzapine is a widely used atypical antipsychotic medication for treatment of schizophrenia and is often associated with serious metabolic abnormalities including weight gain and impaired glucose tolerance. These metabolic side effects are severe clinical problems but the underpinning mechanism remains poorly understood. Recently, growing evidence suggests that Wnt signaling pathway has a critical role in the pathogenesis of schizophrenia and molecular cascades of antipsychotics action, of which Wnt signaling pathway key effector TCF7L2 is strongly associated with glucose homeostasis. In this study, we aim to explore the characteristics of metabolic disturbance induced by olanzapine and to elucidate the role of TCF7L2 in this process. C57BL/6 mice were subject to olanzapine (4 mg/kg/day), or olanzapine plus metformin (150 mg/kg/day), or saline, respectively, for 8 weeks. Metabolic indices and TCF7L2 expression levels in liver, skeletal muscle, adipose, and pancreatic tissues were closely monitored. Olanzapine challenge induced remarkably increased body weight, fasting insulin, homeostasis model assessment-insulin resistance index, and TCF7L2 protein expression in liver, skeletal muscle, and adipose tissues. Notably, these effects could be effectively ameliorated by metformin. In addition, we found that olanzapine-induced body weight gain and insulin resistance actively influence the expression of TCF7L2 in liver and skeletal muscle, and elevated level of insulin determines the increased expression of TCF7L2 in adipose tissue. Our results demonstrate that TCF7L2 participates in olanzapine-induced metabolic disturbance, which presents a novel mechanism for olanzapine-induced metabolic disturbance and a potential therapeutic target to prevent the associated metabolic side effects.

Latent Toxoplasma gondii infection is associated with decreased serum triglyceride to high-density lipoprotein cholesterol ratio in male patients with schizophrenia

BACKGROUND

Previous studies suggested a complex association between Toxoplasma gondii (TG) infection and host lipid metabolism. Both TG infection and metabolic disturbances are very common in patients with schizophrenia, but this relationship is not clear.

METHODS

In this cross-sectional study, we evaluated the association between TG seropositivity, serum lipid levels, body mass index (BMI) and metabolic syndrome (MetS) in 210 male inpatients with schizophrenia.

RESULTS

In our sample of schizophrenia patients, with the mean age of 43.90 ± 12.70 years, the rate of TG seropositivity was 52.38% and the prevalence of MetS was 17%. Patients with the TG antibodies had lower serum triglyceride levels and body weight compared to TG seronegative patients, despite having more frequently received antipsychotics (clozapine, olanzapine risperidone and quetiapine), which are well known to induce weight gain and metabolic abnormalities. However, the only significant change in metabolic parameters, observed in TG seropositive patients with schizophrenia, was decreased serum triglyceride to high-density lipoprotein cholesterol (HDL-C) ratio. No associations were observed between TG seropositivity and serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and glucose levels, waist circumference, BMI and the rate of MetS.

CONCLUSION

This is the first report of the association between TG infection and decreased serum triglyceride to HDL-C ratio in a sample of carefully selected men with chronic schizophrenia.

Comparison of metabolic syndrome prevalence in patients with schizophrenia and bipolar I disorder

Research has shown that the metabolic syndrome is more prevalent among patients with schizophrenia or bipolar I disorder. Given the scarcity of research on the disorders, this paper aims to compare the prevalence of the syndrome among the two groups of patients.

METHODS

A total of 120 individuals participated in this cross sectional study: 60 patients with schizophrenia (26 males and 34 females) and 60 patients with bipolar I disorder (32 males and 28 females). The psychological disorders were diagnosed by some experienced psychiatrists according to the DSM-V. Furthermore, metabolic syndrome was diagnosed according to ATP III guidelines.

RESULTS

Metabolic syndrome prevalence among schizophrenic and bipolar I patients was 28 and 36 percent, respectively; the disparity in prevalence is not significant. According to the results, compared to their male counterparts, females were more prone significant to metabolic syndrome. Moreover, diastolic blood pressure was significantly higher among bipolar I patients. On the other hand, schizophrenic males were observed to have higher fasting blood sugar levels in comparison to bipolar I males patients. Age, consumption of second generation antipsychotics or antidepressants, and the duration of the disorder were found to be related to metabolic syndrome.

CONCLUSION

This study showed that metabolic syndrome is not more prevalent among bipolar I patients, compared to those with schizophrenia. Also, women are more likely to be affected by the syndrome. A number of factors such as age, consumption of medication, and duration of the disorder are associated with the likelihood of the syndrome.

Prescription preferences in antipsychotics and attitude towards the pharmaceutical industry in Belgium

OBJECTIVES

The number of antipsychotic prescriptions are increasing rapidly worldwide, a trend which is mainly driven by the steep rise in second-generation antipsychotic (SGA) prescriptions. However, the success of SGA, compared with the older first-generation antipsychotics (FGAs), cannot be explained by evidence. Several studies concluded on equal efficacy of FGA and SGA on positive, negative and cognitive symptoms of schizophrenia. Next to that, the influence of the pharmaceutical industry on prescription behaviour has drawn considerable interest. Therefore, the relationship between antipsychotic prescription patterns and exposure to information directly provided by pharmaceutical companies was studied.

METHODS

A cross-sectional online survey, addressing psychiatrists, general practitioners (GPs) and trainees in Flanders, was carried out. Respondents were questioned about their prescription behaviour, opinion about efficacy of SGA versus FGA and the nature and frequency of their contact with the pharmaceutical industry. Using Spearman's rank correlations and χ² tests, the relationship between different variables and group differences were examined.

RESULTS

Psychiatrists, GPs and trainees in Flanders clearly favour olanzapine and risperidone, followed by quetiapine and aripiprazole above all other agents. This behaviour is supported by the conviction that SGAs have superior efficacy and a more benign side effect profile, compared with FGA. Frequent contact with drug representatives is correlated with a preference of SGA over FGA. 41% of the respondents acknowledge to be influenced by the pharmaceutical industry, which is more than that previously reported.

Prevalence of metabolic syndrome in female and male patients at risk of psychosis

Metabolic Syndrome (MetS) is one of the most common factors underlying the high rate of mortality observed in patients with schizophrenia. Recent research on this topic revealed that many of the patients studied were, in fact, in a medicated state. As such, it is unclear whether MetS is causally associated with the disorder itself or the medication used to treat it. In this study, patients with a clinically high risk of expressing first episode psychosis (CHR) were examined regarding the prevalence of MetS. N=144 unmedicated and antipsychotic-naïve CHR patients, aged between 18 and 42years and suffering from unmanifested prodromal symptoms, were compared with a cohort of N=3995 individuals from the "German Metabolic and Cardiovascular Risk Study" (GEMCAS). A slightly higher prevalence of individual MetS criteria was observed in the CHR group compared to the GEMCAS sample; specifically, the following were noted: a higher blood pressure (35.0% vs. 28.0%), increased waist circumference (17.6% vs. 15.1%), and increased fasting blood glucose (9.4% vs. 4.0%) in CHR patients. Additionally, the rate of reduced HDL cholesterol concentrations was lower in the control group (20.2% vs. 13.3%).

The Obesity-Impulsivity Axis: Potential Metabolic Interventions in Chronic Psychiatric Patients

Pathological impulsivity is encountered in a broad range of psychiatric conditions and is thought to be a risk factor for aggression directed against oneself or others. Recently, a strong association was found between impulsivity and obesity which may explain the high prevalence of metabolic disorders in individuals with mental illness even in the absence of exposure to psychotropic drugs. As the overlapping neurobiology of impulsivity and obesity is being unraveled, the question asked louder and louder is whether they should be treated concomitantly. The treatment of obesity and metabolic dysregulations in chronic psychiatric patients is currently underutilized and often initiated late, making correction more difficult to achieve. Addressing obesity and metabolic dysfunction in a preventive manner may not only lower morbidity and mortality but also the excessive impulsivity, decreasing the risk for aggression. In this review, we take a look beyond psychopharmacological interventions and discuss dietary and physical therapy approaches.

From Molecules to the Clinic: Linking Schizophrenia and Metabolic Syndrome through Sphingolipids Metabolism

Metabolic syndrome (MS) is a prevalent and severe comorbidity observed in schizophrenia (SZ). The exact nature of this association is controversial and very often accredited to the effects of psychotropic medications and disease-induced life-style modifications, such as inactive lifestyle, poor dietary choices, and smoking. However, drug therapy and disease-induced lifestyle factors are likely not the only factors contributing to the observed converging nature of these conditions, since an increased prevalence of MS is also observed in first episode and drug-naïve psychosis populations. MS and SZ share common intrinsic susceptibility factors and etiopathogenic mechanisms, which may change the way we approach clinical management of SZ patients. Among the most relevant common pathogenic pathways of SZ and MS are alterations in the sphingolipids (SLs) metabolism and SLs homeostasis. SLs have important structural functions as they participate in the formation of membrane “lipid rafts.” SLs also play physiological roles in cell differentiation, proliferation, and inflammatory processes, which might be part of MS/SZ common pathophysiological processes. In this article we review a plausible mechanism to explain the link between MS and SZ through a disruption in SL homeostasis. Additionally, we provide insights on how this hypothesis can lead to the developing of new diagnostic/therapeutic technologies for SZ patients.

Estimating 10-year cardiovascular disease risk in Asian patients with schizophrenia

OBJECTIVE

This study aims to describe the cardiovascular risk profile of Asian patients with schizophrenia.

METHODS

Data was extracted from the databases of 139 patients with schizophrenia and 206 controls from two previous studies conducted at the Institute for Mental Health (IMH), Singapore. Their medical and smoking histories were obtained, and anthropometric parameters measured. Framingham risk score (FRS) calculator using body mass index was used to compute the 10-year cardiovascular disease risk (FRS_BMI) and the vascular age (VA_BMI) for each participant. Data on fasting lipids were available for 80 patients and all the controls; hence the FRS for lipids (FRS_lipids) and VA (VA_lipids) were also computed. The difference between VA and actual age was computed as VA_diff.

RESULTS

The 10-year CVD risk and VA_diff based on lipids as well as BMI were significantly higher for patients compared to controls (all p<0.01). There was a strong correlation between FRS_lipids and FRS_BMI (r=0.97, p<0.001). Significantly higher numbers of patients than controls were smokers and obese; and reported having dyslipidaemia.

CONCLUSIONS

We found a high risk of CVD in patients with schizophrenia as compared to controls; and conclude that patients with schizophrenia need regular physical health monitoring, especially for cardiovascular risk factors.

Measurement of Metabolic Monitoring in Youth and Adult Medicaid Recipients Prescribed Antipsychotics

BACKGROUND

Individuals being treated with first- and second-generation antipsychotics (FGAs and SGAs) are at risk for a variety of adverse cardiometabolic effects. Although consensus guidelines that recommend metabolic monitoring for patients receiving SGAs have been in place since 2004, the rate of monitoring remains low, especially in the pediatric population.

OBJECTIVES

To (a) examine differences in rates of laboratory monitoring for glucose and lipids for adults and youth prescribed FGAs and SGAs; (b) look at factors associated with the likelihood of metabolic testing; and (c) describe cohort effects that may have had an impact on the rates of laboratory testing. 

METHODS

This is a retrospective study examining the rates of glucose and lipid testing for 3 separate cohorts of Medicaid recipients who were prescribed antipsychotics during 3 measurement periods-2008, 2010, and 2012-using paid Medicaid pharmacy and laboratory claims data. The sample included adults aged 18 years and older and children aged 17 years and younger. For each measurement period, we identified the rate of metabolic monitoring and the demographic characteristics for each individual, including race, age, and gender. The proportion of laboratory monitoring was assessed using chi square tests for each of the outcomes. Logistic regression models for each time point were used to determine the characteristics of individuals who were more likely to receive monitoring.

RESULTS

The proportion of individuals receiving glucose and lipid tests increased for both age groups across all measurement periods. For individuals aged 18 years and over, glucose monitoring increased from 56.6%-72.6%. Testing for lipids remained constant, ranging from 38.3%-41.2% for each of the 3 measurement periods. During the first measurement period, in 2008, females were 41% and 15% more likely to receive glucose and lipid laboratory monitoring, respectively, compared with males. Females continued to be more likely to receive glucose monitoring during the measurement periods in 2010 and 2012, although there was no significant difference between females and males for lipid monitoring during these time periods. Individuals aged 17 years and younger were 59%-68% less likely to receive glucose monitoring than adults (aged ≥ 18 years) for all time points. Across all measurement periods, individuals aged ≤ 17 years were also 44%-58% less likely to receive lipid monitoring compared with adults (aged ≥ 18 years). While there was no significant difference between Caucasians and non-Caucasians in the first measurement period, Caucasians were about 30% less likely to receive glucose monitoring and about 50% less likely to receive lipid monitoring during the measurement periods covering 2010 and 2012.  

CONCLUSIONS

Metabolic monitoring in adults improved substantially over the time periods studied; however, rates remained suboptimal, especially in the pediatric population. This finding suggests that interventions to increase metabolic monitoring in adults and children using FGAs and SGAs are necessary.

Beyond the brain: disrupted in schizophrenia 1 regulates pancreatic β-cell function via glycogen synthase kinase-3β

Individuals with schizophrenia and their first-degree relatives have higher rates of type 2 diabetes (T2D) than the general population (18-30 vs. 1.2-6.3%), independent of body mass index and antipsychotic medication, suggesting shared genetic components may contribute to both diseases. The cause of this association remains unknown. Mutations in disrupted in schizophrenia 1 (DISC1) increase the risk of developing psychiatric disorders [logarithm (base 10) of odds = 7.1]. Here, we identified DISC1 as a major player controlling pancreatic β-cell proliferation and insulin secretion via regulation of glycogen synthase kinase-3β (GSK3β). DISC1 expression was enriched in developing mouse and human pancreas and adult β- and ductal cells. Loss of DISC1 function, through siRNA-mediated depletion or expression of a dominant-negative truncation that models the chromosomal translocation of human DISC1 in schizophrenia, resulted in decreased β-cell proliferation (3 vs. 1%; P < 0.01), increased apoptosis (0.1 vs. 0.6%; P < 0.01), and glucose intolerance in transgenic mice. Insulin secretion was reduced (0.5 vs. 0.1 ng/ml; P < 0.05), and critical β-cell transcription factors Pdx1 and Nkx6.1 were significantly decreased. Impaired DISC1 allowed inappropriate activation of GSK3β in β cells, and antagonizing GSK3β (SB216763; IC50 = 34.3 nM) rescued the β-cell defects. These results uncover an unexpected role for DISC1 in normal β-cell physiology and suggest that DISC1 dysregulation contributes to T2D independently of its importance for cognition.

Persistence of racial disparities in prescription of first-generation antipsychotics in the USA

PURPOSE

The aim of this study was to estimate the prevalence of first-generation antipsychotics (FGA) prescribed for treatment of psychiatric and neurological conditions and use of benztropine to reduce extrapyramidal side effects (EPS) by patient race/ethnicity in a nationally representative sample of adult outpatient visits.

METHODS

The study sample included all outpatient visits (N = 8154) among patients aged 18-69 years where a prescription for one or more antipsychotics was recorded across 6 years of the National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey (2005-2010). Use of FGA was compared by race/ethnicity using multiple logistic regression models accounting for patient and clinical characteristics stratified by neighborhood poverty rate. Frequency of EPS was determined by use of benztropine to reduce or prevent EPS.

RESULTS

Black patients were significantly more likely than White patients to use FGA (odds ratio = 1.48, p = 0.040) accounting for psychiatric and neurological diagnoses, treatment setting, metabolic factors, neighborhood poverty, and payer source. Black patients were more than twice as likely as White patients to receive higher-potency FGA (haloperidol or fluphenazine), particularly in higher-poverty areas (odds ratio = 2.50, p < 0.001). Use of FGA, higher among Black than White patients, was positively associated with use of benztropine to reduce EPS.

CONCLUSIONS

Racial disparities in the pharmacological treatment of severe mental disorders persist 30 years after the introduction of second-generation antipsychotics. The relatively high frequency of FGA of use among Black patients compared with White patients despite more Food and Drug Administration-approved indications and lower EPS risk for second-generation antipsychotics requires additional research.

Metabolic Syndrome Screening and Assertive Community Treatment: A Quality Improvement Study

Metabolic syndrome defines a collection of cardiometabolic illnesses that predict risk for poor physical health and early death and is highly prevalent among those with serious mental illness. Despite recommendations for routine monitoring, those with serious mental illness frequently do not receive physical health screenings. We conducted a quality improvement (QI) project to increase rates of metabolic syndrome screening in three New York City Assertive Community Treatment (ACT) teams. The project, conducted from December 2010 to May 2011, involved educational sessions for staff and consumers and a systematic screening protocol. We collected complete metabolic syndrome screening measurements for 71% of participating ACT consumers. We found metabolic risk to be nearly universal among participants, with over half diagnosed with metabolic syndrome. We also found high rates of previously undiagnosed hypertension, diabetes, and dyslipidemia. We describe the resources and obstacles we encountered in our QI project to make systematic metabolic screening a routine part of ACT care. This QI project suggests that ACT teams can take a leadership role in screening their consumers for physical health issues, aligning with recent policy trends to better integrate behavioral health and primary care services.

Metabolic syndrome among psychiatric inpatients with schizophrenia in Indonesia

Despite the fact that antipsychotic medication increases the risk of metabolic syndrome (MetS), the rate of MetS among psychiatric patients in Indonesia is rarely reported. This study aimed to investigate the prevalence of MetS among inpatients with schizophrenia in Indonesia. Eighty-six hospitalised psychiatric patients with schizophrenia were randomly recruited, and underwent physical examination including a blood test. MetS was assessed based on the International Diabetes Federation (IDF) criteria for South Asia. Among the sample, only eight patients (9.3%) met the IDF criteria for MetS. Women have a higher rate of MetS than men (23.8% vs 4.6%; p=0.02). Reduced high-density lipoprotein (HDL) cholesterol was the most frequent (81.4%) metabolic abnormality among them, followed by central obesity (29.1%), raised triglycerides (23.3%), raised fasting plasma glucose (12.8%), and raised blood pressure (10.5%). Among the various antipsychotics, no differences in MetS prevalence were observed in this population. The rate of MetS among the psychiatric inpatients in this study is lower compared both to the previously reported rate in the general population and to the findings among psychiatric patients with schizophrenia in developed countries. Several factors related to the reduced rate of MetS in this psychiatric inpatient population will be discussed.

Weight Gain and Its Correlates Among Forensic Inpatients

OBJECTIVE

We investigated changes in weight, body mass index (BMI), and other indices of the metabolic syndrome in forensic inpatients. Weight gain associated with newer antipsychotics (APs) is well established in the general psychiatric population.

METHODS

We examined the medical records of 291 men admitted to a forensic hospital at admission and again at discharge or 365 days later if still in hospital. We also recorded diagnosis and smoker status on admission and quantified psychotropic treatment and adherence, physical activity, and daytime occupation during the hospitalization.

RESULTS

On admission, 33% were obese and 22% of the 106 patients for whom sufficient data were available met criteria for metabolic syndrome. Among patients staying at least 30 days, 60% were weighed again before discharge but repeated blood pressure and waist circumference measures were uncommon, even among those at greatest risk. The 122 forensic inpatients with sufficient information gained an average of 12% of their body weight and 40% increased by at least 1 BMI category, gaining an average of 3.67 kg per month. Weight gain was associated with duration of time and was not attributable to being underweight on admission, diagnosis of schizophrenia, atypical AP treatment, medication adherence, or having been a smoker.

CONCLUSIONS

Patients gained weight during forensic hospitalization independent of medication use. We recommend further research using consistent measurement and wider sampling of both metabolic syndrome indicators and its individual and systemic causes in forensic populations.

Effects of haloperidol and clozapine administration on oxidative stress in rat brain, liver and serum

Antipsychotics remain the standard of care for individuals with schizophrenia, despite their association with adverse effects including extrapyramidal symptoms, metabolic syndrome and agranulocytosis. While the biological mechanisms underlying these side effects remain unresolved, it has been proposed that oxidative stress may play a role in their development. The aim of this study was to evaluate markers of oxidative stress associated with first- and second-generation antipsychotics, focusing on protein and lipid oxidation and expression of the antioxidant proteins peroxiredoxin-2 and peroxiredoxin-6. Following 28-day administration of haloperidol, clozapine or saline to adult rats, brain grey matter, white matter, serum and liver samples were obtained and lipid peroxidation, protein oxidation, peroxiredoxin-2 and peroxiredoxin-6 levels quantified. In grey matter, peroxiredoxin-6 was significantly increased in the haloperidol-exposed animals, with a trend towards increased lipid peroxidation also observed in this group. In liver, lipid peroxidation was increased in the clozapine-exposed animals, with a similar trend noted in the haloperidol group. Antipsychotics did not produce significant changes in serum or white matter. Our results suggest that haloperidol and clozapine may induce oxidative stress in brain and liver, respectively, consistent with the documented adverse effects of these agents.

Metabolic syndrome among psychiatric outpatients with mood and anxiety disorders

BACKGROUND

Few studies have simultaneously compared the impacts of pharmacotherapy and mental diagnoses on metabolic syndrome (MetS) among psychiatric outpatients with mood and anxiety disorders. This study aimed to investigate the impacts of pharmacotherapy and mental diagnoses on MetS and the prevalence of MetS among these patients.

METHODS

Two-hundred and twenty-nine outpatients (men/women = 85/144) were enrolled from 1147 outpatients with mood and anxiety disorders by systematic sampling. Psychiatric disorders and MetS were diagnosed using the Structured Clinical Interview for DSM-IV-TR and the new International Diabetics Federation definition, respectively. The numbers of antipsychotics, mood stabilizers, and antidepressants being taken were recorded. Logistic regression was used to investigate the impacts of pharmacotherapy and psychiatric diagnoses on MetS.

RESULTS

Among 229 subjects, 51 (22.3%) fulfilled the criteria for MetS. The prevalence of MetS was highest in the bipolar I disorder (46.7%) patients, followed by bipolar II disorder (25.0%), major depressive disorder (22.0%), anxiety-only disorders (16.7%), and no mood and/or anxiety disorders (14.3%). The percentages of MetS among the five categories were correlated with those of the patients being treated with antipsychotics and mood stabilizers. Use of antipsychotics and/or mood stabilizers independently predicted a higher risk of MetS after controlling for demographic variables and psychiatric diagnoses. When adding body mass index (BMI) as an independent variable in the regression model, BMI became the most significant factor to predict MetS.

CONCLUSION

BMI was found to be an important factor related to MetS. Pharmacotherapy might be one of underlying causes of elevated BMI. The interactions among MetS, BMI, pharmacotherapy, and psychiatric diagnoses might need further research.

An eight-year clinic experience with clozapine use in a Parkinson's disease clinic setting

BACKGROUND

To examine our eight year clinic-based experience in a Parkinson's disease expert clinical care center using clozapine as a treatment for refractory psychosis in Parkinson's disease (PD).

METHODS

The study was a retrospective chart review which covered eight years of clozapine registry use. Statistical T-tests, chi-square, correlations and regression analysis were used to analyze treatment response for potential associations of age, disease duration, and Hoehn & Yahr (H&Y) score, and degree of response to clozapine therapy.

RESULTS

There were 36 participants included in the analysis (32 PD, 4 parkinsonism-plus). The characteristics included 30.6% female, age 45-87 years (mean 68.3±10.15), disease duration of 17-240 months (mean 108.14±51.13) and H&Y score of 2 to 4 (mean 2.51±0.51). The overall retention rate on clozapine was 41% and the most common reasons for discontinuation were frequent blood testing (28%), nursing home (NH) placement (11%) and leucopenia (8%). Responses to clozapine across the cohort were: complete (33%), partial (33%), absent (16%), and unknown (16%). Age (r = -0.36, p<0.01) and H&Y score (r = -0.41, p<0.01) were shown to be related to response to clozapine therapy, but disease duration was not an associated factor (r = 0.21, p>0.05).

CONCLUSIONS

This single-center experience highlights the challenges associated with clozapine therapy in PD psychosis. Frequent blood testing remains a significant barrier for clozapine, even in patients with therapeutic benefit. Surprisingly, all patients admitted to a NH discontinued clozapine due to logistical issues of administration and monitoring within that setting. Consideration of the barriers to clozapine therapy will be important to its use and to its continued success in an outpatient setting.

The comparison of glucose and lipid metabolism parameters in drug-naïve, antipsychotic-treated, and antipsychotic discontinuation patients with schizophrenia

BACKGROUND

Although many studies have reported that glucose and lipid metabolism disorders are a significant side effect associated with the use of antipsychotic drugs, the characteristics of glucose and lipid metabolism disorders in patients with schizophrenia who are taking antipsychotic drugs remain poorly understood, and the possible effects that antipsychotic discontinuation may have on glucose and lipid metabolism remain unclear.

METHODS

The sample consisted of 131 Chinese patients with schizophrenia, including 70 first-episode, drug-naïve patients; 33 patients who had received continuous antipsychotic drug treatment for ≥1 year prior to the beginning of the study; and 28 patients who had discontinued antipsychotic drug treatment for ≥3 months prior to the beginning of study. We compared the glucose and lipid metabolic parameter levels among the three groups of patients with schizophrenia. All assessments were performed upon hospital admission.

RESULTS

The characteristics of glucose and lipid metabolism disorders in Chinese patients with schizophrenia who are taking antipsychotic drugs included significant augmentation of the body mass index and waist circumference, significantly higher levels of fasting plasma insulin and insulin resistance, and significantly lower plasma high-density lipoprotein cholesterol levels. Antipsychotic discontinuation appeared to not significantly improve any plasma glucose and lipid metabolic parameter levels.

CONCLUSION

The results suggest that antipsychotic drugs aggravate glucose and lipid metabolism disorders and that antipsychotic discontinuation is generally not associated with improvements in the parameters that indicate glucose and lipid metabolism disorders in Chinese patients with schizophrenia.