Increased visceral fat distribution in drug-naive and drug-free patients with schizophrenia

From brain to body: exploring the connection between altered reward processing and physical fitness in schizophrenia

Understanding the underlying mechanisms that link psychopathology and physical comorbidities in schizophrenia is crucial since decreased physical fitness and overweight pose major risk factors for cardio-vascular diseases and decrease the patients' life expectancies. We hypothesize that altered reward anticipation plays an important role in this. We implemented the Monetary Incentive Delay task in a MR scanner and a fitness test battery to compare schizophrenia patients (SZ, n = 43) with sex- and age-matched healthy controls (HC, n = 36) as to reward processing and their physical fitness. We found differences in reward anticipation between SZs and HCs, whereby increased activity in HCs positively correlated with overall physical condition and negatively correlated with psychopathology. On the other handy, SZs revealed stronger activity in the posterior cingulate cortex and in cerebellar regions during reward anticipation, which could be linked to decreased overall physical fitness. These findings demonstrate that a dysregulated reward system is not only responsible for the symptomatology of schizophrenia, but might also be involved in physical comorbidities which could pave the way for future lifestyle therapy interventions.

Exploring the link between functional connectivity of ventral tegmental area and physical fitness in schizophrenia and healthy controls

Decreased physical fitness and being overweight are highly prevalent in schizophrenia, represent a major risk factor for comorbid cardio-vascular diseases and decrease the life expectancy of the patients. Thus, it is important to understand the underlying mechanisms that link psychopathology and weight gain. We hypothesize that the dopaminergic reward system plays an important role in this. We analyzed the seed-based functional connectivity (FC) of the ventral tegmental area (VTA) in a group of schizophrenic patients (n=32) and age-, as well as gender-, matched healthy controls (n=27). We then correlated the resting-state results with physical fitness parameters, obtained in a fitness test, and psychopathology. The FC analysis revealed decreased functional connections between the VTA and the anterior cingulate cortex (ACC), as well as the dorsolateral prefrontal cortex, which negatively correlated with psychopathology, and increased FC between the VTA and the middle temporal gyrus in patients compared to healthy controls, which positively correlated with psychopathology. The decreased FC between the VTA and the ACC of the patient group further positively correlated with total body fat (p = .018, FDR-corr.) and negatively correlated with the overall physical fitness (p = .022). This study indicates a link between decreased physical fitness and higher body fat with functional dysconnectivity between the VTA and the ACC. These findings demonstrate that a dysregulated reward system might also be involved in comorbidities and could pave the way for future lifestyle therapy interventions.

Correlation of Obesity and Clinical Characteristics in Drug-Naive First-Episode Patients With Schizophrenia

OBJECTIVES

This study was aimed at investigating the prevalence of obesity in drug-naive first-episode (DNFE) patients with schizophrenia and its association with metabolic parameters, psychopathological symptoms, and cognitive function.

METHODS

We collected general information on 411 DNFE schizophrenia patients and divided them into obese and nonobese groups according to body mass index (BMI). Glucolipid metabolic parameters of patients were collected. Positive and Negative Syndrome Scale was performed for assessing patients' psychopathological symptoms. Cognitive function was observed and evaluated in both groups. Pearson correlation analysis was applied to assess factors related to BMI, while we conducted multiple stepwise regression analysis for determining risk factors for obesity.

RESULTS

Obesity occurred in 60.34% of DNFE patients with schizophrenia, whereas the obese group had notably higher BMI value and waist-to-hip ratio than the nonobese group ( P < 0.05). Obese patients had markedly higher levels of blood glucose, insulin, apolipoprotein B, total triglycerides, low-density lipoprotein cholesterol, and total cholesterol versus nonobese patients ( P < 0.05). Besides, the disease severity and cognitive function were dramatically lower in the obese group. Results of multiple stepwise regression analysis demonstrated negative symptoms, low-density lipoprotein cholesterol, triglycerides, and blood glucose levels as the risk factors for comorbid obesity in DNFE patients with schizophrenia.

CONCLUSIONS

The detection rate of obesity was high in DNFE patients with schizophrenia, and there was an intrinsic association between obesity and glucolipid metabolism, clinical symptoms, and cognitive function among them. Our study will provide a theoretical foundation for the diagnosis of obesity in DNFE patients with schizophrenia and the development of effective early interventions.

Pilot and Feasibility Studies of a Lifestyle Modification Program Based on the Health Belief Model to Prevent the Lifestyle-Related Diseases in Patients with Mental Illness

In this study we have examined the feasibility of a program based on the health belief model (HBM), for its effectiveness in improving lifestyle-related diseases in patients with schizophrenia (SZ) and bipolar disorder (BD), which are often complicated with physical conditions. In this model, we attempted to enable patients to identify a "threat" and to find "balance between benefits and disadvantages". Subjects were carefully selected from among psychiatric patients by excluding any bias. Thus, the enrolled patients were 30 adult men and women with lifestyle-related diseases, or those with a body mass index (BMI) of over 24. Of these 30 subjects, 15 were randomly assigned to the intervention group and 10 the control group, since 5 subjects in the control voluntarily left from the study. Comparison of the intervention and control groups revealed significant improvement (p < 0.05) in HDL cholesterol in the intervention group. However, there were no significant changes in other variables. These findings support the usefulness and efficacy of HMB-based nutritional interventions for preventing lifestyle-related disorders among psychiatric patients. Further evaluation is needed with a larger sample size and a longer intervention period. This HMB-based intervention could be useful for the general population as well.

Automatic Thoughts, Self-Stigma, and Resilience Among Schizophrenia Patients with Metabolic Syndrome: A Cross-Sectional Study

Purpose

The study aims to clarify the negative psychological state and resilience impairments of schizophrenia (SCZ) with metabolic syndrome (MetS) while evaluating their potential as risk factors.

Patients and Methods

We recruited 143 individuals and divided them into three groups. Participants were evaluated using the Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HAMD)-24, Hamilton Anxiety Rating Scale (HAMA)-14, Automatic Thoughts Questionnaire (ATQ), Stigma of Mental Illness scale and Connor-Davidson Resilience Scale (CD-RISC). Serum biochemical parameters were measured by automatic biochemistry analyzer.

Results

The score of ATQ was highest in the MetS group (F = 14.5, p < 0.001), and the total score of CD-RISC, subscale tenacity score and subscale strength score of CD-RISC were lowest in the MetS group (F = 8.54, p < 0.001; F = 5.79, p = 0.004; F = 10.9, p < 0.001). A stepwise regression analysis demonstrated that a negative correlation was observed among the ATQ with employment status, high-density lipoprotein (HDL-C), and CD-RISC (β=-0.190, t=-2.297, p = 0.023; β=-0.278, t=-3.437, p = 0.001; β=-0.238, t=-2.904, p = 0.004). A positive correlation was observed among the ATQ with waist, TG, WBC, and stigma (β=0.271, t = 3.340, p = 0.001; β=0.283, t = 3.509, p = 0.001; β=0.231, t = 2.815, p = 0.006; β=0.251, t=-2.504, p = 0.014). The area under the receiver-operating characteristic curve analysis showed that among all independent predictors of ATQ, the TG, waist, HDL-C, CD-RISC, and stigma presented excellent specificity at 0.918, 0.852, 0.759, 0.633, and 0.605, respectively.

Conclusion

Results suggested that the non-MetS and MetS groups had grievous sense of stigma, particularly, high degree of ATQ and resilience impairment was shown by the MetS group. The TG, waist, HDL-C of metabolic parameters, CD-RISC, and stigma presented excellent specificity to predict ATQ, and the waist showed excellent specificity to predict low resilience level.

A Systematic Review on the Potential of Aspirin to Reduce Cardiovascular Risk in Schizophrenia

Cardiovascular disease (CVD), including heart disease and stroke, continues to be the leading cause of death worldwide. Patients with mental health disorders, including schizophrenia (SCZ) are known to have an increased risk for CVD. Given the association with metabolic syndrome, patients with SCZ are often prescribed metformin and statins but its impact remains unsatisfactory. The use of aspirin (ASA) to decrease cardiovascular risk in the general population has been thoroughly investigated and clear guidelines are currently in place. Since adjuvant treatment with ASA could possibly decrease CVD risk and mortality in SCZ, we conducted a systematic review of the literature to determine the state of the current literature on this subject. Our systematic review points to gaps in the literature on CVD prevention in SCZ and illustrates an obvious need for further research. Although several studies have shown increased CVD risk in SCZ, to date, no research has been conducted on the utilization of CVD preventative treatment such as ASA for SCZ.

Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort

Background

Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments.

Method

A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors.

Results

Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS.

Conclusion

We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry.

Impaired long-term outcomes of patients with schizophrenia spectrum disorder after coronary artery bypass surgery: nationwide case-control study

BACKGROUND

Patients with schizophrenia spectrum disorder have increased risk of coronary artery disease.

AIMS

To investigate long-term outcomes of patients with schizophrenia spectrum disorder and coronary artery disease after coronary artery bypass grafting surgery (CABG).

METHOD

Data from patients with schizophrenia spectrum disorder (n = 126) were retrospectively compared with propensity-matched (1:20) control patients without schizophrenia spectrum disorder (n = 2520) in a multicentre study in Finland. All patients were treated with CABG. The median follow-up was 7.1 years. The primary outcome was all-cause mortality.

RESULTS

Patients with diagnosed schizophrenia spectrum disorder had an elevated risk of 10-year mortality after CABG, compared with control patients (42.7 v. 30.3%; hazard ratio 1.56; 95% CI 1.13-2.17; P = 0.008). Schizophrenia spectrum diagnosis was associated with a higher risk of major adverse cardiovascular events during follow-up (49.9 v. 32.6%, subdistribution hazard ratio 1.59; 95% CI 1.18-2.15; P = 0.003). Myocardial infarction (subdistribution hazard ratio 1.86; P = 0.003) and cardiovascular mortality (subdistribution hazard ratio 1.65; P = 0.017) were more frequent in patients with versus those without schizophrenia spectrum disorder, but there was no difference for stroke. Psychiatric ward admission, antipsychotic medication, antidepressant use and benzodiazepine use before CABG were not associated with outcome differences. After CABG, patients with schizophrenia spectrum disorder received statin therapy less often and had lower doses; the use of other cardiovascular medications was similar between schizophrenia spectrum and control groups.

CONCLUSIONS

Patients with schizophrenia spectrum disorder have higher long-term risks of death and major adverse cardiovascular events after CABG. The results underline the vulnerability of these patients and highlight the importance of intensive secondary prevention and risk factor optimisation.

Adiposity in schizophrenia: A systematic review and meta-analysis

OBJECTIVE

Although a relationship between schizophrenia (SCZ), antipsychotic (AP) medication, and metabolic dysregulation is now well established, the effect of adiposity is less well understood. By synthesizing findings from imaging techniques that measure adiposity, our systematic review and meta-analysis (PROSPERO CRD42020192977) aims to determine the adiposity-related effects of illness and treatment in this patient population.

METHODS

We searched MEDLINE, EMBASE, PsychINFO and Scopus for all relevant case-control and prospective longitudinal studies from inception until February 2021. Measures of adiposity including percent body fat (%BF), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT) were analyzed as primary outcomes.

RESULTS

Our search identified 29 articles that used imaging methods to quantify adiposity among patients with SCZ spectrum disorders. Analyses revealed that patients have greater %BF (mean difference (MD) = 3.09%; 95% CI: 0.75-5.44), SAT (MD = 24.29 cm² ; 95% CI: 2.97-45.61) and VAT (MD = 33.73 cm² , 95% CI: 4.19-63.27) compared to healthy controls. AP treatment was found to increase SAT (MD = 31.98 cm² ; 95% CI: 11.33-52.64) and VAT (MD = 16.30 cm² ; 95% CI: 8.17-24.44) with no effect on %BF. However, change in %BF was higher for AP-free/AP-naïve patients compared to treated patients.

CONCLUSION

Our findings indicate that patients with SCZ spectrum disorders have greater adiposity than healthy controls, which is increased by AP treatment. Young, AP-naïve patients may be particularly susceptible to this effect. Future studies should explore the effect of specific APs on adiposity and its relation to overall metabolic health.

Associations of Genetic Variants of Methylenetetrahydrofolate Reductase and Serum Folate Levels with Metabolic Parameters in Patients with Schizophrenia

The one-carbon metabolism pathway is a suitable candidate for studying the genetic and epigenetic factors contributing to metabolic abnormalities in patients with schizophrenia. We recruited 232 patients with schizophrenia and analyzed their serum folate, vitamin B12, and homocysteine levels and metabolic parameters to investigate the associations of genetic variants of methylenetetrahydrofolate reductase (MTHFR) and folate levels with metabolic parameters. MTHFR C677T and MTHFR A1298C were genotyped. Results showed that MTHFR 677T allele carriers had lower levels of total cholesterol and low-density lipoprotein cholesterol than those with the 677CC genotype. Metabolic parameters did not differ between MTHFR 1298C and 1298AA carriers. Patients with a low folate level had a lower high-density lipoprotein cholesterol level than those with a normal folate level, but the effect disappeared after adjustment for age, sex, and types of antipsychotics used. We found significant interactions between MTHFR A1298C and the folate level status (low vs. normal) in terms of body mass index and waist circumference. In conclusion, genetic variants in one-carbon metabolism might play a role in antipsychotic-induced metabolic abnormalities. Prospective studies on drug-naïve, first-episode patients with schizophrenia are warranted to identify key regions of DNA methylation changes accounting for antipsychotic-induced metabolic abnormalities.

Metabolic disturbances associated with antipsychotic drug treatment in patients with schizophrenia: State-of-the-art and future perspectives

Metabolic disturbances and obesity are major cardiovascular risk factors in patients with schizophrenia, resulting in a higher mortality rate and shorter life expectancy compared with those in the general population. Although schizophrenia and metabolic disturbances may share certain genetic or pathobiological risks, antipsychotics, particularly those of second generation, may further increase the risk of weight gain and metabolic disturbances in patients with schizophrenia. This review included articles on weight gain and metabolic disturbances related to antipsychotics and their mechanisms, monitoring guidelines, and interventions. Nearly all antipsychotics are associated with weight gain, but the degree of the weight gain varies considerably. Although certain neurotransmitter receptor-binding affinities and hormones are correlated with weight gain and specific metabolic abnormalities, the precise mechanisms underlying antipsychotic-induced weight gain and metabolic disturbances remain unclear. Emerging evidence indicates the role of genetic polymorphisms associated with antipsychotic-induced weight gain and antipsychotic-induced metabolic disturbances. Although many guidelines for screening and monitoring antipsychotic-induced metabolic disturbances have been developed, they are not routinely implemented in clinical care. Numerous studies have also investigated strategies for managing antipsychotic-induced metabolic disturbances. Thus, patients and their caregivers must be educated and motivated to pursue a healthier life through smoking cessation and dietary and physical activity programs. If lifestyle intervention fails, switching to another antipsychotic drug with a lower metabolic risk or adding adjunctive medication to mitigate weight gain should be considered. Antipsychotic medications are essential for schizophrenia treatment, hence clinicians should monitor and manage the resulting weight gain and metabolic disturbances.

Selective serotonin reuptake inhibitors and risk reduction for cardiovascular disease in patients with schizophrenia: A controversial but promising approach

Patients with schizophrenia (SCZ) are at high risk of cardiovascular disease (CVD) due to an inherited predisposition, a sedentary life style and the use of antipsychotic medications. Several approaches have been taken to minimize this risk but results continue to be unsatisfactory. A potential alternative is prescribing selective serotonin reuptake inhibitors (SSRIs). SSRIs decrease platelet aggregation and reduce the risk of coronary heart disease in patients with depression. We therefore aim to investigate whether there is evidence that supports the use of SSRIs to reduce the risk for CVD in SCZ. A review of the literature revealed five published reports relating to the impact of SSRIs on CV risk in SCZ. Three trials assessed the influence on metabolic parameters of fluvoxamine when combined with clozapine. Two of those studies found improvements with fluvoxamine. Of the other two reports, one indicates SSRIs as a group caused minimal but statistically significant increments in total cholesterol, low-density lipoprotein and triglyceride. The second report suggests that when SSRIs are combined with antipsychotics, the metabolic impact depends on the antipsychotic prescribed. While there are promising results, no conclusions can be made currently on whether SSRIs increase or decrease CV risk in SCZ. Further studies are needed to resolve this matter.

Prevalence of obesity and clinical and metabolic correlates in first-episode schizophrenia relative to healthy controls

OBJECTIVE

People with schizophrenia exhibit a high obesity rate. However, little is known about the prevalence of obesity and its relationship with clinical symptoms and metabolic indicators in first-episode drug-naïve (FEDN) schizophrenia.

METHODS

Demographic and lipid parameters were gathered from 297 FEDN schizophrenia and 325 healthy controls. The patients' symptomatology was evaluated by the Positive and Negative Syndrome Scale (PANSS).

RESULTS

The obesity rate of FEDN patients was 10.77%, similar to that of controls (10.5%). The prevalence of overweight plus obesity of patients was 44.8%, significantly higher than that of controls (36.6%). Compared with non-obese patients, obese patients had higher levels of cholesterol (4.81 ± 0.93 vs 4.22 ± 1.00 mmol/L), triglyceride (0.27 ± 0.21 vs 0.14 ± 0.24 mg/dL), low-density lipoprotein (0.48 ± 0.12 vs 0.40 ± 0.12 mg/dL), greater ratio of triglyceride/high-density lipoprotein (2.01 ± 1.23 vs 1.44 ± 1.26), and higher PANSS positive symptom subscale score (29.81 ± 6.29 vs 27.05 ± 6.15), general psychopathology subscale score (70.75 ± 11.74 vs 66.87 ± 11.37), and total score (149.81 ± 21.08 vs 140.64 ± 21.58), but lower high-density lipoprotein level (1.09 ± 0.21 vs 1.27 ± 0.34 mg/dL) (all p < 0.05). Correlation analysis revealed that body mass index (BMI) was positively correlated with triglyceride, cholesterol, high-density lipoprotein, low-density lipoprotein, triglyceride/high-density lipoprotein ratio, PANSS positive symptoms, general psychopathology, and total scores (all p < 0.05, r = 0.124 ~ 0.335). Multiple regression analysis confirmed that PANSS positive symptoms, total score, and cholesterol level were significantly associated with BMI (all p < 0.05, β: 0.126-0.162).

CONCLUSION

There was no significant difference in the prevalence of obesity between FEDN patients and the control group. Moreover, BMI was positively associated with positive symptom severity in FEDN patients.

Impaired hormonal regulation of appetite in schizophrenia: A narrative review dissecting intrinsic mechanisms and the effects of antipsychotics

Cardiometabolic diseases are the main contributor of reduced life expectancy in patients with schizophrenia. It is now widely accepted that antipsychotic treatment plays an important role in the development of obesity and its consequences. However, some intrinsic mechanisms need to be taken into consideration. One of these mechanisms might be related to impaired hormonal regulation of appetite in this group of patients. In this narrative review, we aimed to dissect impairments of appetite-regulating hormones attributable to intrinsic mechanisms and those related to medication effects. Early hormonal alterations that might be associated with intrinsic mechanisms include low levels of leptin and glucagon-like peptide-1 (GLP-1) together with elevated insulin levels in first-episode psychosis (FEP) patients. However, evidence regarding low GLP-1 levels in FEP patients is based on one large study. In turn, multiple-episode schizophrenia patients show elevated levels of insulin, leptin and orexin A together with decreased levels of adiponectin. In addition, patients receiving olanzapine may present with low ghrelin levels. Post mortem studies have also demonstrated reduced number of neuropeptide Y neurons in the prefrontal cortex of patients with schizophrenia. Treatment with certain second-generation antipsychotics may also point to these alterations. Although our understanding of hormonal regulation of appetite in schizophrenia has largely been improved, several limitations and directions for future studies need to be addressed. This is of particular importance since several novel pharmacological interventions for obesity and diabetes have already been developed and translation of these developments to the treatment of cardiometabolic comorbidities in schizophrenia patients is needed.

Implications of early life stress on fetal metabolic programming of schizophrenia: A focus on epiphenomena underlying morbidity and early mortality

The fetal origin of adult disease hypothesis postulates that a stressful in utero environment can have deleterious consequences on fetal programming, potentially leading to chronic disease in later life. Factors known to impact fetal programming include the timing, intensity, duration and nature of the external stressor during pregnancy. As such, dynamic modulation of fetal programming is heavily involved in shaping health throughout the life course, possibly by influencing metabolic parameters including insulin action, hypothalamic-pituitary-adrenal activity and immune function. The ability of prenatal insults to program adult disease is likely to occur as a result of reduced functional capacity in key organs-a "thrifty" phenotype-where more resources are re-allocated to preserve critical organs such as the brain. Notably, it has been postulated that the manifestation of neuropsychiatric disorders in individuals priorly exposed to prenatal stress may arise from the interaction between hereditary factors and the intrauterine environment, which together precipitate disease onset by disrupting the trajectory of normal brain development. In this review we discuss the evidence linking prenatal programming to neuropsychiatric disorders, mainly schizophrenia, via a "Thrifty psychiatric phenotype" concept. We start by outlining the conception of the thrifty psychiatric phenotype. Next, we discuss the convergence of potential mechanistic pathways through which prenatal insults may trigger epigenetic changes that contribute to the increased morbidity and early mortality observed in neuropsychiatric disorders. Finally, we touch on the public health importance of fetal programming for these disorders. We conclude by providing a brief outlook on the future of this evolving field of research.

Assessing causal links between metabolic traits, inflammation and schizophrenia: a univariable and multivariable, bidirectional Mendelian-randomization study

BACKGROUND

Blood immunoreactive biomarkers, such as C-reactive protein (CRP), and metabolic abnormalities have been associated with schizophrenia. Studies comprehensively and bidirectionally probing possible causal links between such blood constituents and liability to schizophrenia are lacking.

METHODS

To disentangle putative causal links between CRP blood levels and schizophrenia in both directions, we conducted multiple univariable Mendelian-randomization (MR) analyses, ranging from fixed-effect to inverse variance-weighted (IVW), weighted-median, MR Egger and generalized summary-data-based Mendelian-randomization (GSMR) models. To prioritize metabolic risk factors for schizophrenia, a novel multivariable approach was applied: multivariable Mendelian-randomization-Bayesian model averaging (MR-BMA).

RESULTS

All forward univariable MR analyses consistently showed that CRP has a protective effect on schizophrenia, whereas reverse MR analyses consistently suggested absent causal effects of schizophrenia liability on CRP blood levels. Using MR-BMA, as the top protective factors for schizophrenia we prioritized leucine and as the prime risk-factor triglycerides in medium very-low-density lipoprotein (VLDL). The five best-performing MR-BMA models provided one additional risk factor: triglycerides in large VLDL; and two additional protective factors: citrate and lactate.

CONCLUSIONS

Our results add to a growing body of literature hinting at metabolic changes-in particular of triglycerides-independently of medication status in schizophrenia. We also highlight the absent effects of genetic liability to schizophrenia on CRP levels.

Metabolic syndrome in outpatients receiving antipsychotic therapy in routine clinical practice: A cross-sectional assessment of a primary health care database

Objective

To determine the prevalence of metabolic syndrome (MS) in outpatients treated with antipsychotics included in a primary-health-care database.

Methods

A cross-sectional study was carried out assessing an administrative outpatients claim-database from 5 primary-health-centers. Subjects on antipsychotics for more than 3 months were included. The control group was formed by the outpatients included in the database without exposition to any antipsychotic drugs. MS was defined according to the modified NCEP-ATP III criteria, and required confirmation of at least 3 of the 5 following components: body mass index >28.8 kg/m2, triglycerides >150 mg/ml, HDL-cholesterol <40 mg/ml (men)/<50 mg/ml (women), blood pressure >130/85 mmHg, and fasting serum glucose >110 mg/dl.

Results

We identified 742 patients [51.5% women, aged 55.1 (20.7) years] treated with first- or second-generation antipsychotics during 27.6 (20.3) months. Controls were 85.286 outpatients [50.5% women, aged 45.5 (17.7) years]. MS prevalence was significantly higher in subjects on antipsychotics: 27.0% (95% CI, 23.8–30.1%) vs. 14.4% (14.1–14.6%); age- and sex-adjusted OR = 1.38 (1.16–1.65, P < 0.001). All MS components, except high blood pressure, were significantly more prevalent in the antipsychotic group, particularly body mass index >28.8 kg/m2: 33.0% (29.6–36.4%) vs. 17.8% (17.6–18.1%), adjusted OR = 1.63 (1.39–1.92, P < 0.001), and low HDL-cholesterol levels: 48.4% (44.8–52.0%) vs. 29.3% (29.0–29.6%); adjusted OR = 1.65 (1.42–1.93, P < 0.001). Compared with the reference population, subjects with schizophrenia or bipolar disorder (BD), but not dementia, showed a higher prevalence of MS.

Conclusions

Compared with the general outpatient population, the prevalence of MS was significantly higher in patients with schizophrenia or BD treated with antipsychotics.

The Role of Adiponectin in the Pathogenesis of Metabolic Disturbances in Patients With Schizophrenia

Antipsychotic-induced metabolic disturbance is a common adverse event occurring in patients treated with antipsychotic drugs. The mechanisms underlying metabolic dysregulation are complex, involving various neurochemical and hormonal systems, the interaction of genetic and lifestyle risk factors, and the antipsychotic drug prescribed. Recently, there has been increasing interest in the relationship between antipsychotic-induced metabolic disturbances and body weight regulatory hormones such as adiponectin. Adiponectin, an adipocyte-derived protein related to insulin sensitivity, weight gain, and anti-inflammation, has attracted great attention because of its potential role of being a biomarker to predict cardiovascular and metabolic diseases. Previous studies regarding the effects of antipsychotics on blood adiponectin levels have shown controversial results. Several factors might contribute to those inconsistent results, including different antipsychotic drugs, duration of antipsychotic exposure, age, sex, and ethnicity. Here we summarize the existing evidence on the link between blood adiponectin levels and metabolic disturbances related to antipsychotic drugs in patients with schizophrenia. We further discuss the effects of individual antipsychotics, patients' gender, ethnicity, age, and treatment duration on those relationships. We propose that olanzapine and clozapine might have a time-dependent biphasic effect on blood adiponectin levels in patients with schizophrenia.

Exploring mechanisms of increased cardiovascular disease risk with antipsychotic medications: Risperidone alters the cardiac proteomic signature in mice

Atypical antipsychotic (AA) medications including risperidone (RIS) and olanzapine (OLAN) are FDA approved for the treatment of psychiatric disorders including schizophrenia, bipolar disorder and depression. Clinical side effects of AA medications include obesity, insulin resistance, dyslipidemia, hypertension and increased cardiovascular disease risk. Despite the known pharmacology of these AA medications, the mechanisms contributing to adverse metabolic side-effects are not well understood. To evaluate drug-associated effects on the heart, we assessed changes in the cardiac proteomic signature in mice administered for 4 weeks with clinically relevant exposure of RIS or OLAN. Using proteomic and gene enrichment analysis, we identified differentially expressed (DE) proteins in both RIS- and OLAN-treated mouse hearts (p < 0.05), including proteins comprising mitochondrial respiratory complex I and pathways involved in mitochondrial function and oxidative phosphorylation. A subset of DE proteins identified were further validated by both western blotting and quantitative real-time PCR. Histological evaluation of hearts indicated that AA-associated aberrant cardiac gene expression occurs prior to the onset of gross pathomorphological changes. Additionally, RIS treatment altered cardiac mitochondrial oxygen consumption and whole body energy expenditure. Our study provides insight into the mechanisms underlying increased patient risk for adverse cardiac outcomes with chronic treatment of AA medications.

Maternal overnutrition during critical developmental periods leads to different health adversities in the offspring: relevance of obesity, addiction and schizophrenia

Maternal overnutrition during sensitive periods of early development increases the risk for obesity and neuropsychiatric disorders later in life. However, it still remains unclear during which phases of early development the offspring is more vulnerable. Here, we investigate the effects of maternal high-fat diet (MHFD) at different stages of pre- or postnatal development and characterize the behavioral, neurochemical and metabolic phenotypes. We observe that MHFD exposure at pre-conception has no deleterious effects on the behavioral and metabolic state of the offspring. Late gestational HFD exposure leads to more prominent addictive-like behaviors with reduced striatal dopamine levels compared to early gestational HFD. Conversely, offspring exposed to MHFD during lactation display the metabolic syndrome and schizophrenia-like phenotype. The latter, is manifested by impaired sensory motor gating, and latent inhibition as well as enhanced sensitivity to amphetamine. These effects are accompanied by higher striatal dopamine levels. Together, our data suggest that MHFD exposure during specific stages of development leads to distinct neuropathological alterations that determine the severity and nature of poor health outcome in adulthood, which may provide insight in identifying effective strategies for early intervention.

Striatal volume and functional connectivity correlate with weight gain in early-phase psychosis

Second-generation antipsychotic drugs (SGAs) are essential in the treatment of psychotic disorders, but are well-known for inducing substantial weight gain and obesity. Critically, weight gain may reduce life expectancy for up to 20-30 years in patients with psychotic disorders, and prognostic biomarkers are generally lacking. Even though other receptors are also implicated, the dorsal striatum, rich in dopamine D2 receptors, which are antagonized by antipsychotic medications, plays a key role in the human reward system and in appetite regulation, suggesting that altered dopamine activity in the striatal reward circuitry may be responsible for increased food craving and weight gain. Here, we measured striatal volume and striatal resting-state functional connectivity at baseline, and weight gain over the course of 12 weeks of antipsychotic treatment in 81 patients with early-phase psychosis. We also included a sample of 58 healthy controls. Weight measurements were completed at baseline, and then weekly for 4 weeks, and every 2 weeks until week 12. We used linear mixed models to compute individual weight gain trajectories. Striatal volume and whole-brain striatal connectivity were then calculated for each subject, and used to assess the relationship between striatal structure and function and individual weight gain in multiple regression models. Patients had similar baseline weights and body mass indices (BMI) compared with healthy controls. There was no evidence that prior drug exposure or duration of untreated psychosis correlated with baseline BMI. Higher left putamen volume and lower sensory motor connectivity correlated with the magnitude of weight gain in patients, and these effects multiplied when the structure-function interaction was considered in an additional exploratory analysis. In conclusion, these results provide evidence for a correlation of striatal structure and function with antipsychotic-induced weight gain. Lower striatal connectivity was associated with more weight gain, and this relationship was stronger for higher compared with lower left putamen volumes.

Evidence for an association of serum melatonin concentrations with recognition and circadian preferences in patients with schizophrenia

Melatonin, a neuro-differentiation factor, may play a role in the neurodevelopmental origins of schizophrenia. Cognitive impairment and decreased melatonin are reported in schizophrenia; however, the relationship between them remains unclear. We hypothesised that patients with schizophrenia would have lower concentrations of circulating melatonin than healthy controls and that melatonin levels would be associated with cognitive impairment. This study included 47 patients with schizophrenia and 40 healthy controls (HC). Serum melatonin concentrations were measured using the enzyme-linked immunosorbent assay. Positive and Negative Syndrome Scales (PANSS), The Morningness-Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI), the Stroop and Oktem verbal memory processes (VMPT) tests were applied. Patients with schizophrenia had lower levels of melatonin compared to the HC group (p = 0.016), also after controlling for age, sex, and body mass index (BMI) (p = 0.024). In patients with schizophrenia, melatonin concentrations were associated with higher BMI (rho = 0.34, p = 0.01) and lower MEQ score (rho = -0.29, p = 0.035). The patient sample was split into low and high melatonin categories by using the median melatonin concentration in HC as the cut-off. Patients in the low melatonin group had poorer performance in VMPT-Recognition (p = 0.026) and Stroop-Colour Error (p = 0.032). Notwithstanding its limitations, the findings of this exploratory study suggest that decreased serum melatonin concentrations observed in schizophrenia might also be associated with cognitive impairment and circadian preferences. Future studies are required to investigate the role of melatonergic pathways in patients with schizophrenia.

Brain insulin action in schizophrenia: Something borrowed and something new

Insulin signaling in the central nervous system is at the intersection of brain and body interactions, and represents a fundamental link between metabolic and cognitive disorders. Abnormalities in brain insulin action could underlie the development of comorbid schizophrenia and type 2 diabetes. Among its functions, central nervous system insulin is involved in regulation of striatal dopamine levels, peripheral glucose homeostasis, and feeding regulation. In this review, we discuss the role and importance of central nervous system insulin in schizophrenia and diabetes pathogenesis from a historical and mechanistic perspective. We describe central nervous system insulin sites and pathways of action, with special emphasis on glucose metabolism, cognitive functioning, inflammation, and food preferences. Finally, we suggest possible mechanisms that may explain the actions of central nervous system insulin in relation to schizophrenia and diabetes, focusing on glutamate and dopamine signaling, intracellular signal transduction pathways, and brain energetics. Understanding the interplay between central nervous system insulin and schizophrenia is essential to disentangling this comorbid relationship and may provide novel treatment approaches for both neuropsychiatric and metabolic dysfunction. This article is part of the issue entitled 'Special Issue on Antipsychotics'.

Possible association between social cognition and metabolic dysfunctions in Bipolar Disorder and Schizophrenia: Preliminary results

BACKGROUND

Social cognition (SC) and Theory of Mind (ToM) are compromised in patients with Schizophrenia (SKZ) and Bipolar Disorder (BD) and an increased frequency of metabolic abnormalities is reported in both disorders. Obesity seems associated with cognitive impairments The aim of our study is thus to assess the relationship between obesity and ToM in SKZ and BD.

METHODS

36 stabilized outpatients (18 SKZ and 18 BD) were recruited and completed Reading the Mind in the Eyes Test, Italian version and Faux Pas Recognition Test, adult version. BMI was calculated from self-reported height and weight. Two different Generalized Linear Models were created including performance in Eyes test and in Faux Pas test as outcomes and BMI as covariate.

RESULTS

After stratifying for sex, we found a significant relationship between BMI and Faux Pas performance for male patients (p = 0.017), without significant interactions between sex and diagnosis. These results suggest a BMI effect on both affective and cognitive ToM in male patients.

LIMITATIONS

Major confounders need to be considered: the greater number of subjects with SKZ in male subsample, a possible influence of neurocognitive performance, small sample size and self-reported BMI.

CONCLUSIONS

There could be a relationship between ToM and metabolic dysfunctions, at least in male patients. The exact nature of this relationship has yet to be determined; an interesting theoretical framework is based on a combination of increased brain energy request and inefficient peripheral compensatory mechanisms, resulting in inefficient energy allocation to the brain.

Nonpharmacological Interventions for the Treatment of Cardiometabolic Risk Factors in People With Schizophrenia-A Systematic Review

Background: People suffering from schizophrenia are notably vulnerable to cardiometabolic risk factors (CMRF), such as obesity, high blood pressure, hyperglycemia and insulin resistance, high serum triglycerides, and low serum high-density lipoprotein (HDL), which are related to increased mortality and decreased quality of life. The increased risk of "metabolic syndrome" (MS) is related to low physical activity, an unhealthy diet, and side effects of antipsychotic drugs. Nonpharmacological interventions seem to be important in the prevention and therapy of MS. Aim: This paper provides an overview of published studies and a critical analysis of pilot programs involving nonpharmacological measures aimed at prevention and treatment of CMRF in patients with schizophrenia. Material and Method: We searched the PubMed, PsycARTICLES, and Cochrane Library databases to identify clinical trials. We included full-text studies that met the following criteria: age > 18 years, a diagnosis of schizophrenia or schizoaffective disorder, and monitored parameters associated with MS. Results: All 1,555 references were evaluated for inclusion in the review, and 20 met the inclusion criteria. Nonpharmacological interventions led to improvement in physical health and showed a promising potential for implementation in treatment programs dedicated to this particular group of patients. However, a critical analysis revealed limitations, which have implications for the direction of future research. Conclusions: Patients suffering from schizophrenia can benefit from nonpharmacological interventions aimed at counteracting CMRF, improving either metabolic parameters, cardiovascular fitness, or their health perception. Notwithstanding, to achieve long-term effects, future studies should comprise appropriate follow-up procedures.

Increased pericardial adipose tissue and cardiometabolic risk in patients with schizophrenia versus healthy controls

Patients with schizophrenia are at increased risk of diabetes, cardiovascular disease (CVD) and associated mortality versus the general population. Increased intra-abdominal and pericardial adipose tissue are associated with elevated CVD and mortality in the general population, but little is known about these in patients with schizophrenia. This study examined pericardial and intra-abdominal adipose tissue in schizophrenia and compared this to healthy controls. Thirty-one patients with schizophrenia (mean age 41.2 years, 76% males) and 30 healthy volunteers (CTRL) were examined in this study. The primary outcomes were the volumes of pericardial adipose tissue and intra-abdominal adipose tissue, measured using magnetic resonance imaging. Secondary outcomes included diabetes and cardiac event risk assessed by established instruments. Volumes of pericardial adipose tissue were increased in male and female patients with schizophrenia compared to healthy controls after the adjustment of age, sex and body mass index (P < 0.005). The 10-year risk of a cardiac event was significantly higher in patients with schizophrenia. Furthermore, the risk for developing type-2 diabetes mellitus was slightly increased in schizophrenia. Volumes of intra-abdominal adipose tissue were slightly increased in male and female patients with schizophrenia, albeit not statistically significant. This study demonstrates that patients with schizophrenia have increased pericardial adipose tissue versus controls. This increased fat deposit around the heart is highly relevant for understanding the comorbidity between heart disease and schizophrenia. Interventions aiming to reduce pericardial and intra-abdominal adipose tissue, such as exercise, may be essential to reduce the burden of heart disease in schizophrenia.

Haplotype analysis of endothelial nitric oxide synthase (NOS3) genetic variants and metabolic syndrome in healthy subjects and schizophrenia patients

Background/objectives

The frequency of metabolic syndrome (MetS) is significantly higher in schizophrenia (SCH) patients, when compared to the general populatiotin. The goal of this study was to evaluate whether genetic variants T-786C (rs2070744), G894T (rs1799983) and C774T (rs1549758) in the endothelial nitric oxide (NOS3) gene and/or their haplotypes could be associated with the risk of MetS in SCH patients or healthy subjects from Russian population.

Subjects/methods

We performed two case−control comparisons. NOS3 polymorphisms were genotyped in 70 SCH patients with MetS, 190 normal weight SCH patients, 155 MetS patients, and 100 healthy controls. MetS was defined as per the criteria proposed by the International Diabetes Federation (IDF). Anthropometric, clinical, biochemical parameters, and serum nitrite concentrations were measured in all samples. Haplotype frequency estimations and linkage disequilibrium measures were made using Haploview 4.2.

Results

The higher C allele (P = 0.009) and lower TT genotype (P = 0.008) frequencies of T-786C polymorphism were found in SCH patients with MetS compared to those in normal weight SCH patients. SCH patients with MetS who were carriers of the T-786C TT genotype had lower serum total cholesterol levels in comparison to the CC genotype (P = 0.016). Furthermore, the 774T/894T haplotype was more frequent in non-SCH individuals with MetS compared to healthy controls (P = 0.0004, odds ratio = 2.18, 95% confidence interval 1.4–3.37). Conversely, the most common haplotype 774C/894G was less frequent in MetS patients than in healthy controls (P = 0.013, odds ratio = 0.61, 95% confidence interval 0.41–0.9).

Conclusions

These results indicate that the NOS3 T-786C promoter polymorphism was closely associated with MetS risk in SCH patients. In addition, the haplotypes composed of G894T and C774T polymorphisms are associated with the MetS susceptibility in Russian population.

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.

Independence of diabetes and obesity in adults with serious mental illness: Findings from a large urban public hospital

OBJECTIVE

There is limited research on metabolic abnormalities in psychotropic-naïve patients with serious mental illness (SMI). Our study examined metabolic conditions in a large, ethnically diverse sample of psychotropic-naïve and non-naïve adults with SMI at an urban public hospital.

METHODS

In this cross-sectional study of 923 subjects, the prevalences of hyperglycemia meeting criteria for type 2 diabetes mellitus (T2DM) based on fasting plasma glucose and obesity defined by BMI and abdominal girth were compared across duration of psychotropic medication exposure. Multiple logistic regression models used hyperglycemia and obesity as dependent variables and age, sex, race/ethnicity, and years on psychotropics as independent variables.

RESULTS

Psychotropic-naïve patients, including both schizophrenia and non-psychotic subgroups, showed an elevated prevalence of hyperglycemia meeting criteria for T2DM and a decreased prevalence of obesity compared to the general population. Obesity rates significantly increased for those on psychotropic medications more than 5 years, particularly for patients without psychosis (BMI: aOR = 5.23 CI = 1.44-19.07; abdominal girth: aOR = 6.40 CI = 1.98-20.69). Women had a significantly higher obesity rate than men (BMI: aOR = 1.63 CI = 1.17-2.28; abdominal girth: aOR = 3.86 CI = 2.75-5.44). Asians had twice the prevalence of hyperglycemia as whites (aOR = 2.29 CI = 1.43-3.67), despite having significantly less obesity (BMI: aOR = .39 CI = .20-.76; abdominal girth: aOR = .34 CI = .20-.60). Hispanics had a higher rate of obesity by BMI than whites (aOR = 1.91 CI = 1.22-2.99).

CONCLUSIONS

This study showed disparities between obesity and T2DM in psychotropic-naïve patients with SMI, suggesting separate risk pathways for these two metabolic conditions.

Metabolic syndrome in drug naïve schizophrenic patients

INTRODUCTION

Research in the last decade tried to focus on natural and unnatural causes of death in schizophrenic patients, but recent few years has focussed on emerging cardio-metabolic risk factors, as a cause of mortality in such patients.

AIM OF THE STUDY

To assess the determinant of metabolic syndrome in drug naïve schizophrenic patients.

METHODOLOGY

It was a cross sectional study; 30 indoor patients with diagnosis of schizophrenia were included. Height, weight, waist circumference and Blood pressure assessment was done by using standard protocol. Fasting Blood Glucose (FBG), Triglyceride (TGs), High Density Lipoprotein (HDL) cholesterol, Low Density Lipoprotein (LDL) total cholesterol were measured. International Diabetes Federation (IDF) criteria was considered for establishing metabolic syndrome. Statistical analysis was done by using chi square and ANOVA.

RESULTS

Majority of the patients were females; hailing from rural area; unskilled professional; educated up to below primary level; were single and Hindu by religion. Most common metabolic abnormality was low HDL in 76.6%; High TGs in 26.6%; High SBP ≥130mm Hg in 16.67%; DBP>85mm Hg in 13.33%; High FBS 10% of the patients. In risk assessment strongest risk factors for metabolic syndrome were high waist circumference, FBS and TGs. BMI, total cholesterol, LDL and VLDL were also observed as a risk factors in drug naïve schizophrenic patients.

CONCLUSION

HDL, FBS, TGs, waist circumference and BMI are all the strong risk factors for development of metabolic syndrome in drug naïve schizophrenia patients.

Visceral adipose tissue in patients with severe mental illness

Background Severe mental illnesses (SMIs), i.e. major depression, schizophrenia and bipolar disorder, are associated with an elevated risk for the development of type-2 diabetes mellitus and cardiovascular disorders. Several factors have been associated with increased cardiometabolic morbidity and mortality in SMI, including lifestyle factors (smoking, inactivity, unhealthy diet), endocrine and immunologic alterations; however, the underlying mechanisms remain to be fully uncovered. It is now well accepted that visceral adipose tissue (VAT) promotes the development of cardiometabolic disorders, at least in part by inflammatory and metabolic functions. Methods This paper reviews studies concerning VAT, with special focus on intra-abdominal and pericardial adipose tissue, in SMI. Results In patients with SMI, several studies have been performed concerning VAT. Most of these studies reported alterations of VAT particularly in patients with major depression and schizophrenia, independent of body weight and body mass index. Some of the studies also reported an increased cardiometabolic risk. Conclusion Patients with SMI are at increased risk of developing cardiometabolic disorders, and display increased amounts of VAT. As studies so far were mainly performed on patients before the onset of cardiometabolic disorders, VAT may serve as a biomarker for patients with SMI to assess cardiometabolic risks beyond established risk scores. Further, interventions aiming at reducing VAT in SMI are highly recommended in long-term multimodal treatment plans.

Fat Distribution in Schizophrenia Patients: A Pilot Study Comparing First- and Second-Generation Antipsychotics

BACKGROUND

Introduction of second-generation antipsychotics (SGAs) has reduced neurologic toxicity but are associated with increased weight gain and obesity. The objective of this pilot study is to compare the effects of first-generation antipsychotics (FGAs) and SGAs in patients with schizophrenia on body fat and presumed concomitant metabolic parameters.

METHODS

Study compared schizophrenia nondiabetic men treated with FGAs (group 1, n = 5) and men treated with SGAs (group 2, n = 9). Each subject completed psychiatric and endocrine evaluation including severity of psychiatric symptoms, adverse effects, body weight, body composition, and measurements of glucose, insulin, adipokines, and inflammatory markers. Student t test was used for statistical analysis.

RESULTS

Men treated with FGAs had a lower mean body mass index with a trend toward statistical significance (25.3 ± 1.4 vs 29.3 ± 1.7, P = 0.06). Treatment with FGAs was associated with lower waist/height ratio (0.55 ± 0.02 vs 0.62 ± 0.02, P = 0.036) and android fat mass index (0.62 ± 0.01 vs 0.96 ± 0.1, P = 0.03). Homeostasis Model Assessment for insulin resistance values were suggestive of significantly lower peripheral insulin resistance in men treated with FGAs (0.92 ± 0.15 vs 2.3 ± 0.34, P = 0.014).

CONCLUSIONS

The results of this study are significant for decreased peripheral insulin resistance in men treated with SGAs in a setting of no significant age difference and only a trend toward higher body mass index, but consistent documentation of increased abdominal fat by 3 different methodologies. Future studies involving larger number of subjects are warranted to verify the present findings.

Genetic variants of increased waist circumference in psychosis

We examined whether established metabolic risk genetic variants in the population confer a risk for increased waist circumference in patients with schizophrenia spectrum disorders and also an association with schizophrenia spectrum disorders irrespective of waist circumference.

Antipsychotics and diabetes: Review of non-prospective data

Background

Much of the existing data regarding the relationship between antipsychotic medications and diabetes mellitus are non-prospective.

Aims

To review critically non-prospective studies examining antipsychotic medications as risk factors for diabetes mellitus.

Method

Database and manual searches.

Results

Anecdotal reports indicate that conventional and atypical antipsychotics can cause diabetes mellitus. However, retrospective studies cannot reliably quantify this association, as they do not adequately control for confounding risk factors for diabetes, or for variation in detection and diagnosis of this illness. Most studies report a higher rate of diabetes in patients who use antipsychotic medication than in non-users, and in patients taking atypical v. conventional antipsychotics. Studies assessing the relative risks of diabetes between individual atypical antipsychotics are contradictory.

Conclusions

Retrospective data are of limited value. Well-designed prospective studies, which account for potential confounders, are needed to investigate the true association between antipsychotic medications and diabetes.

Lifestyle and physical health in schizophrenia

People with schizophrenia die prematurely. Their illness, its treatment and their lifestyle all contribute to the excess morbidity and mortality. Lifestyle ‘choices' (e.g. poor diet, low rates of physical activity and increased likelihood to smoke cigarettes) predispose them to poor physical health and comorbid medical diseases. In addition, weight gain and obesity are a consequence of most antipsychotics, particularly the atypicals. Excessive body weight increases the risk of morbidity and mortality, and is the biggest risk factor for type II diabetes in schizophrenia. Much of the excess mortality of schizophrenia is preventable through lifestyle and risk factor modification and the treatment of common diseases, but the potential for improving outcomes in this area is only starting to be addressed.

Monitoring the metabolic side-effects of atypical antipsychotics

Aims and method

National clinical guidance states that patients on antipsychotics should have their metabolic profile regularly monitored. The aim of this study was to assess whether we are effectively monitoring metabolic profiles and to improve the detection, communication and intervention of metabolic abnormalities among patients on atypical antipsychotics. We describe a full audit cycle.

Results

The audit resulted in a 24% increase in the number of patients on atypical antipsychotics being referred to the metabolic clinic. The number of abnormal results communicated to primary care showed a significant improvement of 25% (P <0.001), and ultimately the number of patients who received intervention improved by 17% (P = 0.001).

Clinical implications

Audit feedback has been effective in changing clinical practice. The audit demonstrated the potential value of a metabolic clinic and shared care between primary and secondary practitioners for this group of high-risk patients.

Visceral Fat Dysfunctions in the Rat Social Isolation Model of Psychosis

Medication with neuroleptics has been associated with adipose tissue dysfunctions and, in particular, with increased visceral fat amount. However, several studies suggested that antipsychotic treatment might not be the main responsible of fat mass accumulation, as this has been also described in not treated psychotic patients. One of the most used “drug-free” rodent models of psychosis is the social isolation rearing of young adult rats, which provides a non-pharmacologic method of inducing long-term alterations reminiscent of symptoms seen in psychotic patients. Recent data highlighted a crucial role of redox imbalance in adipose tissue dysfunctions, in terms of decreased antioxidant defense and increased reactive oxygen species (ROS). Here, we investigated possible oxidative stress-related biomolecular alterations associated with visceral fat increase in 7 week isolated rats. To this purpose, we quantified total and visceral fat amount by using dual-energy X-ray (DEXA) absorptiometry. On visceral fat, we analyzed the expression of specific ROS-producer genes (Nox1, Nox4, Hmox-1), antioxidant enzymes (Prdx1 and Ucp-1) and oxidative stress-induced damage markers (Cidea, Slc2a4, and Acacb). The impact of oxidative stress on beta3-adrenergic receptors (Adrb3), at both mRNA and protein level, was also assessed. We found that 7 weeks of social isolation induced an increase in total and visceral fat, associated with a decrease in Prdx1 (mRNA and protein) as well as Ucp-1 mRNA levels and an enhanced expression of Nox1 (mRNA and protein) and Hmox-1 mRNA. No differences were detected in Nox4 mRNA levels between grouped and isolated animals. Elevations in Cidea, Slc2a4, and Acacb expression in visceral fat of isolated animals accounted for oxidative stress-related damage in this tissue, further associated with a significant increase in Adrb3 mRNA and protein. Our results provide a novel understanding of the pathological link existing among psychosocial stress-induced psychosis, adipose tissue dysfunctions and redox imbalance, opening new therapeutic perspectives for the treatment of alterations in peripheral tissues associated with this mental disorder.

Plasma GDF15 level is elevated in psychosis and inversely correlated with severity

Accumulating evidence suggests that GDF15 is a biomarker for ageing and morbidity of many somatic disorders such as cancer and inflammatory disorders. Recently, elevated serum GDF15 level was proposed as a marker for mood disorder. However, psychosis severity was not investigated in relation to plasma GDF15 levels. In the present study we measured GDF15 levels in plasma of 120 psychosis patients compared to 120 age and gender matched healthy controls. Within the patient cohort GDF15 levels were evaluated for association with age, gender, lifestyle factors, C-reactive protein levels, psychosis severity and metabolic disorder. Psychosis patients had elevated GDF15 levels compared to controls (median_Psychosis = 744 ng/mL, median_controls = 516 ng/mL, p < 0.001). Within the psychosis cohort, GDF15 levels, when corrected for age, metabolic health and lifestyle factors, were negatively correlated with psychosis severity (β = −0.218, p = 0.012). While GDF15 levels were elevated in patients versus healthy controls, the negative correlation between psychosis severity and GDF15 suggests a loss of anti-inflammatory GDF15 mediated functionality in severe psychosis. Study replication in larger cohorts will be necessary to assess the potential of GDF15 as a prognostic biomarker in psychosis.

Investigating the link between drug-naive first episode psychoses (FEPs), weight gain abnormalities and brain structural damages: Relevance and implications for therapy

Evidence suggests that obesity and overweight may be associated with severe brain structural abnormalities and poor cognitive and functional outcomes in the general population. Despite these observations and the high prevalence of weight gain abnormalities in patients with psychosis spectrum disorders (PSDs), no studies have investigated the impact that these metabolic disturbances may have on brain structures and development in the earliest stages of PSDs. In the present review we shed light on the association between weight gain and brain structural abnormalities that may affect the course of illness in drug-naïve FEPs. Given the lack of studies directly investigating this issue, we firstly identified and critically evaluated the literature assessing weight gain abnormalities and gray or white matter (GM, WM) volumes (either globally or in specific regions of interest) in otherwise healthy obese/overweight adolescents and young adults. We then compared the results of this systematic review with those of two recent meta-analysis investigating GM and WM abnormalities in drug-naïve FEPs. Weight gain in otherwise healthy subjects was consistently associated with frontal and temporal GM atrophy and with reduced integrity of WM in the corpus callosum. Of relevance, all these brain regions are affected in drug-naïve FEPs, and their integrity is associated with clinical, cognitive and functional outcomes. The underlying mechanisms that may explain the association between weight gain, adiposity, and brain damage in both healthy subjects and drug-naïve FEPs are widely discussed. On the basis of this knowledge, we tried: a) to deduce an integrative model for the development of obesity in psychosis spectrum disorders; b) to identify the key vulnerability factors underlying the association between weight gain and psychosis; c) to provide information on new potential targets of intervention.

Troponin T levels associated with genetic variants in NOTCH2 and MTNR1B in women with psychosis

Psychosis patients have increased prevalence of metabolic disorders, which increase the risk for cardiovascular disease. Elevated troponin T level is an early biomarker of cardiovascular damage. We tested for association between troponin T levels and genetic risk variants of elevated blood glucose level in psychosis. Glucose and troponin T levels correlated positively. MTNR1B rs10830963 and NOTCH2 rs10923931 associated with troponin T levels in women, adjusted for glucose levels. These findings may indicate metabolic genetic influences on troponin T levels among women with psychosis.

Metabolic Effects of Antidepressant Treatment

INTRODUCTION

This study aimed to investigate body measurements, glucose-insulin metabolism, and lipid profile in patients with anxiety and depressive symptoms and also the effects of antidepressant drugs on these metabolic parameters.

METHODS

The study included 40 outpatients and 32 healthy controls. The patients received antidepressant treatment (sertraline, escitalopram, fluoxetine, and venlafaxine) for 8 weeks. Body measurements were performed, and lipid, fasting blood glucose, and insulin levels were measured before and after treatment in patients and once in healthy controls. Insulin resistance was evaluated using the homeostasis model assessment (HOMA) index.

RESULTS

Body mass index was higher in patients than in healthy controls, and there was no change in patients after treatment. In patients, high-density lipoprotein (HDL) cholesterol levels increased owing to the antidepressant treatment. Insulin level and HOMA index had a tendency to decrease with the treatment in patients and were similar to those of healthy controls before the treatment; however, they became lower than those of healthy controls after the treatment. There was an increase in waist circumference and total and HDL cholesterol levels, whereas there was a decrease in fasting blood glucose levels with treatment in patients using escitalopram. There was no change in body measurements and biochemical and hormone values in patients using fluoxetine, sertraline, and venlafaxine. There was an increase in weight, body mass index, and waist circumference after treatment in patients with depression; however, there was no change in patients with anxiety.

CONCLUSION

In patients with psychiatric disorders having anxiety and depressive symptoms, metabolic changes independent of drugs and the metabolic effects of drugs are present.

Is cerebrovascular disease a silent condition in patients with chronic schizophrenia-related disorders?

Patients with chronic schizophrenia-related disorders are at a heightened risk of developing cardiovascular disease. The presence and interpretation of cerebral vascular lesions in neuroimaging tests in these patients represents a common clinical challenge. Nevertheless, the literature on cerebrovascular disease in this population is scarce and contradictory. The aim of this study was to analyse the relationship between schizophrenia-related disorders and cerebrovascular morbidity. A case-control study compared cerebrovascular morbidity in a group of patients with schizophrenia-related disorder versus a group of patients with another severe mental illness. The risk of presenting cerebrovascular morbidity was four times higher and statistically significant in patients with schizophrenia-related disorders compared with controls, paired by age and sex. However, both groups were homogeneous in terms of cardiovascular risk factors. There were significant differences between the two groups only in the time using first-generation antipsychotic drugs and taking two or more antipsychotic medications simultaneously. The relationship between chronic schizophrenia-related disorders and cerebrovascular disease may be beyond the classic cardiovascular risk factors and related to certain medications. This is one of the first studies to focus on the relation among cerebrovascular morbidity, antipsychotic drugs and disorders related to schizophrenia in middle-aged and elderly adults.

Metabolic profile at first-time schizophrenia diagnosis: a population-based cross-sectional study

OBJECTIVE

Schizophrenia and/or antipsychotic drug use are associated with metabolic abnormalities; however, knowledge regarding metabolic status and physician's monitoring of metabolic status at first schizophrenia diagnosis is sparse. We assessed the prevalence of monitoring for metabolic blood abnormalities and characterized the metabolic profiles in people with a first-time schizophrenia diagnosis.

METHODS

This is a population-based cross-sectional study including all adults born in Denmark after January 1, 1955, with their first schizophrenia diagnosis between 2000 and 2012 in the Central Denmark Region. Information on metabolic parameters was obtained from a clinical laboratory information system. Associations were calculated using Wilcoxon rank-sum tests, chi-square tests, logistic regression, and Spearman's correlation coefficients.

RESULTS

A total of 2,452 people with a first-time schizophrenia diagnosis were identified, of whom 1,040 (42.4%) were monitored for metabolic abnormalities. Among those monitored, 58.4% had an abnormal lipid profile and 13.8% had an abnormal glucose profile. People who had previously filled prescription(s) for antipsychotic drugs were more likely to present an abnormal lipid measure (65.7% vs 46.8%, P<0.001) and abnormal glucose profile (16.4% vs 10.1%, P=0.01).

CONCLUSION

Metabolic abnormalities are common at first schizophrenia diagnosis, particularly among those with previous antipsychotic prescription(s). Increased metabolic abnormalities already present in the early phase of schizophrenia emphasize the need for increased monitoring and management.

High Prevalence of Obesity, Hypertension, Hyperlipidemia, and Diabetes Mellitus in Japanese Outpatients with Schizophrenia: A Nationwide Survey

BACKGROUND

Patients with schizophrenia have significantly shorter life expectancy than the general population, and a problem they commonly face is an unhealthy lifestyle, which can lead to obesity and metabolic syndrome. There is a very clear need to determine the prevalence of obesity, hypertension, hyperlipidemia, and diabetes mellitus which are components of metabolic syndrome in patients with schizophrenia, but there has been a paucity of large-scale studies examining this situation in Japan. The aim of our study was to address this need.

SETTING & PARTICIPANTS

We conducted a large-scale investigation of the prevalence of obesity, hypertension, hyperlipidemia, and diabetes mellitus using a questionnaire in 520 outpatient facilities and 247 inpatient facilities of the Japan Psychiatric Hospitals Association between January 2012 and July 2013. There were 7,655 outpatients and 15,461 inpatients with schizophrenia.

RESULTS

The outpatients had significantly higher prevalence of obesity, hypertension, hypertriglyceridemia, hyper-LDL cholesterolemia, and diabetes mellitus than the inpatients. The prevalence of hypo-HDL cholesterolemia was higher in inpatients than outpatients. Age-specific analysis showed the prevalence of obesity, hypertension, hypertriglyceridemia, hyper-LDL cholesterolemia, and diabetes mellitus among outpatients to be 2- to 3-fold higher than among inpatients. In individuals aged ≥60 years, the prevalence of obesity and DM among outpatients was about 3-fold higher than among inpatients.

CONCLUSION

Japanese outpatients with schizophrenia were more likely to have physical risk such as obesity, hypertension, hyperlipidemia, and diabetes mellitus than inpatients. The physical risk to patients with schizophrenia may be affected by environmental parameters, such as type of care. The physical risk to Japanese patients with schizophrenia demands greater attention.

Body mass index and psychiatric disorders: a Mendelian randomization study

Obesity is a highly prevalent risk factor for cardiometabolic diseases. Observational studies suggest that obesity is associated with psychiatric traits, but causal inference from such studies has several limitations. We used two-sample Mendelian randomization methods (inverse variance weighting, weighted median and MR-Egger regression) to evaluate the association of body mass index (BMI) with three psychiatric traits using data from the Genetic Investigation of Anthropometric Traits and Psychiatric Genomics consortia. Causal odds ratio estimates per 1-standard deviation increment in BMI ranged from 0.88 (95% CI: 0.62; 1.25) to 1.23 (95% CI: 0.65; 2.31) for bipolar disorder; 0.93 (0.78; 1.11) to 1.41 (0.87; 2.27) for schizophrenia; and 1.15 (95% CI: 0.92; 1.44) to 1.40 (95% CI: 1.03; 1.90) for major depressive disorder. Analyses removing potentially influential SNPs suggested that the effect estimates for depression might be underestimated. Our findings do not support the notion that higher BMI increases risk of bipolar disorder and schizophrenia. Although the point estimates for depression were consistent in all sensitivity analyses, the overall statistical evidence was weak. However, the fact that SNP-depression associations were estimated in relatively small samples reduced power to detect causal effects. This should be re-addressed when SNP-depression associations from larger studies become available.

Atypical Antipsychotics and Diabetes: Discussion and Monitoring Recommendations

Objective:

To discuss the relationship between atypical antipsychotics (AAPs) and diabetes and to report new monitoring recommendations for patients being prescribed AAPs.

Data Sources:

Articles were identified through searches of MEDLINE and PubMed (1966–March 2004). Search terms included hyperglycemia, diabetes, glucose, atypical antipsychotics, clozapine, risperidone, olanzapine, quetiapine, ziprasidone, and aripiprazole. Only articles published in the English language were included in the search. Additionally, bibliographies of articles cited were used to identify additional articles.

Study Selection and Data Extraction:

All available articles identified by the data sources were reviewed and those deemed relevant to the review were included.

Data Synthesis:

Information pertaining to diabetes/hyperglycemia risk in case reports and submissions to the Medwatch system prompted the FDA to require labeling changes for all AAPs. The exact relationship between AAPs and diabetes remains unclear. The association is clouded by the fact that patients with schizophrenia are, in general, at higher risk for diabetes mellitus. Sedentary lifestyle and poor dietary intake are 2 possible contributing causes of diabetes in patients with schizophrenia. Weight gain or other metabolic effects of AAPs may put patients at further risk of developing diabetes. The American Diabetes Association, American Psychiatric Association, American Association of Clinical Epidemiologists, and North American Association for the Study of Obesity have released a joint consensus statement addressing some of the concerns related to AAP use.

Conclusions:

Because of the apparent increased risk of diabetes in patients taking AAPs, monitoring weight, fasting blood glucose, blood pressure, and lipids should be a part of the baseline assessment and ongoing care.

Association of birth weight and the development of antipsychotic induced adiposity in individuals with treatment resistant schizophrenia

Though weight gain is a common side effect of antipsychotic treatment, there are no useful predictors of which patients are likely to be affected and to what degree. It has been shown that exposure to adverse conditions during intra-uterine life confers a vulnerability to the development of later life metabolic complications and low birth weight for gestational age has been shown to be a robust marker of such prenatal adversity. We hypothesised that patients with schizophrenia with a lower birth weight will have increased vulnerability to the weight inducing effects of antipsychotic treatment. The relationship between birth weight and total and central adiposity, measured as body mass index (BMI) and waist-to-hip ratio (WHR) respectively, was examined in three groups: drug naïve first episode of psychosis (FEP) patients (n=41), treatment resistant schizophrenia (TRS) patients (n=42) and matched healthy volunteers (n=72). All analyses were controlled for age, gender and duration of treatment exposure. We found that a lower birth weight was associated with higher BMI and WHR only in TRS patients but not in FEP or controls, suggesting that prenatal adversity, as indicated by the surrogate marker of a lower birth weight, confers an increased vulnerability to clozapine induced weight gain.

Factors associated with overweight and obesity in schizophrenia, schizoaffective and bipolar disorders

Evidence suggests abnormal bioenergetic status throughout the body in psychotic disorders. The present study examined predictors of elevated body mass index (BMI) across diagnostic categories of schizophrenia, schizoaffective and bipolar disorders. In a cross-sectional study, we studied demographic and clinical risk factors for overweight and obesity in a well-characterized sample of 262 inpatients and outpatients with schizophrenia (n=59), schizoaffective disorder (n=81) and bipolar I disorder (n=122). Across the three diagnostic categories, the prevalence of overweight (29.4%) and obesity (33.2%) combined was 62.6% (164/262). Logistic regression analyses, adjusted for age, sex and ethnicity, showed that schizoaffective disorder, lifetime major depressive episode, presence of prior suicide attempt, and more than 5 lifetime hospitalizations were significantly associated with BMI≥25. Patients with schizophrenia had significantly lower risk for overweight and obesity. Overall, we found that affective components of illness were associated with elevated BMI in our cross-diagnostic sample. Our results show that patients with schizoaffective disorder have a greater risk for obesity. Identifying predictors of elevated BMI in patients with psychotic and mood disorders will help prevent obesity and related cardiovascular and cerebral complications. Future studies are needed to elucidate the mechanistic nature of the relationship between obesity and psychiatric illness.