Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome

Identifying influencing factors of metabolic syndrome in patients with major depressive disorder: A real-world study with Bayesian network modeling

BACKGROUND

The bidirectional relationships between metabolic syndrome (MetS) and major depressive disorder (MDD) were discovered, but the influencing factors of the comorbidity were barely investigated. We aimed to fully explore the factors and their associations with MetS in MDD patients.

METHODS

The data were retrieved from the electronic medical records of a tertiary psychiatric hospital in Beijing from 2016 to 2021. The influencing factors were firstly explored by univariate analysis and multivariate logistic regressions. The propensity score matching was used to reduce the selection bias of participants. Then, the Bayesian networks (BNs) with hill-climbing algorithm and maximum likelihood estimation were preformed to explore the relationships between influencing factors with MetS in MDD patients.

RESULTS

Totally, 4126 eligible subjects were included in the data analysis. The proportion rate of MetS was 32.6 % (95 % CI: 31.2 %-34.1 %). The multivariate logistic regression suggested that recurrent depression, uric acid, duration of depression, marriage, education, number of hospitalizations were significantly associated with MetS. In the BNs, number of hospitalizations and uric acid were directly connected with MetS. Recurrent depression and family history psychiatric diseases were indirectly connected with MetS. The conditional probability of MetS in MDD patients with family history of psychiatric diseases, recurrent depression and two or more times of hospitalizations was 37.6 %.

CONCLUSION

Using the BNs, we found that number of hospitalizations, recurrent depression and family history of psychiatric diseases contributed to the probability of MetS, which could help to make health strategies for specific MDD patients.

Designing and implementing a physical exercise intervention for people with first episode psychosis using experience-based co-design: A pilot study from Chennai, India

BACKGROUND

Physical exercise can improve outcomes for people with first-episode psychosis (FEP). Co-designing physical exercise interventions with end users has the potential to enhance their acceptability, feasibility, and long-term viability. This study's objective was to use experience-based co-design (EBCD) methodology to develop a physical exercise intervention for FEP, and pilot test it.

METHODS

The study was conducted at the Schizophrenia Research Foundation's FEP program in Chennai, India. Participants(N=36) were individuals with FEP and their caregivers, mental health professionals (MHPs, and physical training experts. EBCD methodology included one-to-one interviews, focus group discussions, joint conferences, and co-design workshops. Two instructional videos were developed. Twelve FEP patients engaged in physical exercise with help of the videos over three months. They were followed up through weekly phone calls and in-person interviews to capture data on regularity, frequency, location of exercise, and comfort levels.

RESULTS

Several touch points emerged from the interviews, focus groups, and joint meetings including lack of motivation, knowledge about physical exercise; differing perspectives about physical exercise; limited resource, and time constraints. Two instructional videos demonstrating activities for participants incorporated strategies that addressed these touch points. Pilot data indicated that participants engaged with the physical exercise intervention over 3 months.

CONCLUSION

This was the first study to use co-design methodology to design a physical exercise intervention for first-episode psychosis. The intervention may have therefore been responsive to stakeholder needs and preferences. Results of this study highlight the potential of co-design in designing and adapting interventions. There is need for rigorous testing with larger samples.

Systemic inflammation, oxidative damage and neurocognition predict telomere length in a transdiagnostic sample stratified by global DNA methylation levels

Epigenetic mechanisms contribute to the maintenance of both type 2 diabetes mellitus (T2DM) and psychiatric disorders. Emerging evidence suggests that molecular pathways and neurocognitive performance regulate epigenetic dynamics in these disorders. The current combined and transdiagnostic study investigated whether inflammatory, oxidative stress, adhesion molecule, neurocognitive and functional performance are significant predictors of telomere dynamics in a sample stratified by global DNA methylation levels. Peripheral blood inflammation, oxidative stress and adhesion molecule biomarkers and neurocognitive function were assessed twice over a 1-year period in 80 individuals, including 16 with schizophrenia (SZ), 16 with bipolar disorder (BD), 16 with major depressive disorder (MDD), 15 with T2DM, and 17 healthy controls (HCs). Leukocyte telomere length (LTL) was measured by qRT-PCR using deoxyribonucleic acid (DNA) extracted from peripheral blood samples. A posteriori, individuals were classified based on their global methylation score (GMS) at baseline into two groups: the below-average methylation (BM) and above-average methylation (AM) groups. Hierarchical and k-means clustering methods, mixed one-way analysis of variance and linear regression analyses were performed. Overall, the BM group showed a significantly higher leukocyte telomere length (LTL) than the AM group at both time points (p = 0.02; η2p = 0.06). Moreover, the BM group had significantly lower levels of tumor necrosis factor alpha (TNF-α) (p = 0.03; η2p = 0.06) and C-reactive protein (CRP) (p = 0.03; η2p = 0.06) than the AM group at the 1-year follow-up. Across all participants, the regression models showed that oxidative stress (reactive oxygen species [ROS]) (p = 0.04) and global cognitive score [GCS] (p = 0.02) were significantly negatively associated with LTL, whereas inflammatory (TNF-α) (p = 0.04), adhesion molecule biomarkers (inter cellular adhesion molecule [ICAM]) (p = 0.009), and intelligence quotient [IQ] (p = 0.03) were significantly positively associated with LTL. Moreover, the model predictive power was increased when tested in both groups separately, explaining 15.8% and 28.1% of the LTL variance at the 1-year follow-up for the AM and BM groups, respectively. Heterogeneous DNA methylation in individuals with T2DM and severe mental disorders seems to support the hypothesis that epigenetic dysregulation occurs in a transdiagnostic manner. Our results may help to elucidate the interplay between epigenetics, molecular processes and neurocognitive function in these disorders. DNA methylation and LTL are potential therapeutic targets for transdiagnostic interventions to decrease the risk of comorbidities.

Association between type 2 diabetes and depressive symptoms after a 1-year follow-up in an older adult Mediterranean population

OBJECTIVES

To examine the cross-sectional association between baseline depressive symptoms and the presence of type 2 diabetes (T2D), and its association with glycated hemoglobin (HbA1c) and other metabolic variables, and the prospective association of depressive symptoms and HbA1c after 1 year of follow-up.

METHODS

n = 6224 Mediterranean older adults with overweight/obesity and metabolic syndrome (48% females, mean age 64.9 ± 4.9 years) were evaluated in the framework of the PREDIMED-Plus study cohort. Depressive symptoms were assessed using the Beck Depression Inventory-II and HbA1c was used to measure metabolic control.

RESULTS

The presence of T2D increased the likelihood of higher levels of depressive symptoms (χ2 = 15.84, p = 0.001). Polynomial contrast revealed a positive linear relationship (χ2 = 13.49, p = 0.001), the higher the depressive symptoms levels, the higher the prevalence of T2D. Longitudinal analyses showed that the higher baseline depressive symptoms levels, the higher the likelihood of being within the HbA1c ≥ 7% at 1-year level (Wald-χ2 = 24.06, df = 3, p < .001, for the full adjusted model). Additionally, depressive levels at baseline and duration of T2D predicted higher HbA1c and body mass index, and lower physical activity and adherence to Mediterranean Diet at 1 year of follow-up.

CONCLUSIONS

This study supports an association between T2D and the severity of depressive symptoms, suggesting a worse metabolic control from mild severity levels in the short-medium term, influenced by lifestyle habits related to diabetes care. Screening for depressive symptoms and a multidisciplinary integrative therapeutic approach should be ensured in patients with T2D.

A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disorders

The clinical burden of mental illness, in particular schizophrenia and bipolar disorder, are driven by frequent chronic courses and increased mortality, as well as the risk for comorbid conditions such as cardiovascular disease and type 2 diabetes. Evidence suggests an overlap of molecular pathways between psychotic disorders and somatic comorbidities. In this study, we developed a computational framework to perform comorbidity modeling via an improved integrative unsupervised machine learning approach based on multi-rank non-negative matrix factorization (mrNMF). Using this procedure, we extracted molecular signatures potentially explaining shared comorbidity mechanisms. For this, 27 case-control microarray transcriptomic datasets across multiple tissues were collected, covering three main categories of conditions including psychotic disorders, cardiovascular diseases and type II diabetes. We addressed the limitation of normal NMF for parameter selection by introducing multi-rank ensembled NMF to identify signatures under various hierarchical levels simultaneously. Analysis of comorbidity signature pairs was performed to identify several potential mechanisms involving activation of inflammatory response auxiliarily interconnecting angiogenesis, oxidative response and GABAergic neuro-action. Overall, we proposed a general cross-cohorts computing workflow for investigating the comorbid pattern across multiple symptoms, applied it to the real-data comorbidity study on schizophrenia, and further discussed the potential for future application of the approach.

Conditional Deletion of β-Catenin in the Mediobasal Hypothalamus Impairs Adaptive Energy Expenditure in Response to High-Fat Diet and Exacerbates Diet-Induced Obesity

β-Catenin is a bifunctional molecule that is an effector of the wingless-related integration site (Wnt) signaling to control gene expression and contributes to the regulation of cytoskeleton and neurotransmitter vesicle trafficking. In its former role, β-catenin binds transcription factor 7-like 2 (TCF7L2), which shows strong genetic associations with the pathogenesis of obesity and type-2 diabetes. Here, we sought to determine whether β-catenin plays a role in the neuroendocrine regulation of body weight and glucose homeostasis. Bilateral injections of adeno-associated virus type-2 (AAV2)-mCherry-Cre were placed into the arcuate nucleus of adult male and female β-catenin flox mice, to specifically delete β-catenin expression in the mediobasal hypothalamus (MBH-β-cat KO). Metabolic parameters were then monitored under conditions of low-fat (LFD) and high-fat diet (HFD). On LFD, MBH-β-cat KO mice showed minimal metabolic disturbances, but on HFD, despite having only a small difference in weekly caloric intake, the MBH-β-cat KO mice were significantly heavier than the control mice in both sexes (p < 0.05). This deficit seemed to be due to a failure to show an adaptive increase in energy expenditure seen in controls, which served to offset the increased calories by HFD. Both male and female MBH-β-cat KO mice were highly glucose intolerant when on HFD and displayed a significant reduction in both leptin and insulin sensitivity compared with controls. This study highlights a critical role for β-catenin in the hypothalamic circuits regulating body weight and glucose homeostasis and reveals potential mechanisms by which genetic variation in this pathway could impact on development of metabolic disease.

The Bidirectional Relationship between Weight Gain and Cognitive Function in First-Episode Schizophrenia: A Longitudinal Study in China

Patients with schizophrenia often encounter notable weight gain during their illness, heightening the risk of metabolic diseases. While previous studies have noted a correlation between obesity and cognitive impairment in schizophrenia, many were cross-sectional, posing challenges in establishing a causal relationship between weight gain and cognitive function. The aim of this longitudinal study is to examine the relationship between weight gain and cognitive function in patients with first-episode schizophrenia (FES) during the initial 6-month antipsychotic treatments. Employing linear and logistic regression analyses, the study involved 337 participants. Significantly, baseline scores in processing speed (OR = 0.834, p = 0.007), working memory and attention (OR = 0.889, p = 0.043), and executive function (OR = 0.862, p = 0.006) were associated with clinically relevant weight gain (CRW, defined as an increase in body weight > 7%) at the 6-month endpoint. On the other hand, CRW correlated with improvements in the Brief Visuospatial Memory Test (p = 0.037). These findings suggest that patients with lower baseline cognitive performance undergo more substantial weight gain. Conversely, weight gain was correlated with cognitive improvements, particularly in the domain of visual learning and memory. This suggested a potential bidirectional relationship between weight gain and cognitive function in first-episode schizophrenia patients.

Elevated triglycerides and low triiodothyronine: Key risk factors for coronary artery calcification in patients with schizophrenia

OBJECTIVE

Coronary artery calcification (CAC) is a well-established independent predictor of coronary heart disease, and patients with schizophrenia have significantly higher rates compared to the general population. We performed this study to examine the population-specific risk factors associated with CAC in patients with schizophrenia.

METHODS

In this cross-sectional study, patients with schizophrenia who underwent low-dose chest CT scans between January 2020 and December 2021 were analyzed. Ordinary CAC scores and results of routine blood tests were obtained. Logistic regression was used to calculate the odds ratio (OR) for potential risk factors in patients with and without CAC, while the negative binomial additive model was used to explore the dose-response relationship between risk factors and CAC score.

RESULTS

Of the 916 patients, 233 (25.4 %) had CAC, while 683 (74.6 %) did not. After adjusting for confounding factors, higher triglyceride levels (OR = 1.20, 95 % confidence interval (CI): 1.04 to 1.38, p = 0.013) and low triiodothyronine levels (OR = 0.50, 95 % CI: 0.29 to 0.84; p = 0.010) were identified as risk factors for CAC. Both triglycerides (p = 0.021) and triiodothyronine (p = 0.010) were also found to have significant dose-response relationships with CAC scores according to the negative binomial additive model in the exploratory analysis.

CONCLUSIONS

This study highlights elevated serum triglycerides and decreased triiodothyronine levels as population-specific risk factors for CAC in patients with schizophrenia, suggest the need for close monitoring of CAC in patients with schizophrenia and further prospective trials to provide additional evidence on this topic.

The interaction network of the proteasome assembly chaperone PSMD9 regulates proteostasis

Functional networks in cells are created by physical, genetic, and regulatory interactions. Mapping them and annotating their functions by available methods remains a challenge. We use affinity purification mass spectrometry (AP-MS) coupled with SLiMFinder to discern such a network involving 26S proteasome non-ATPase regulatory subunit 9 (PSMD9), a chaperone of proteasome assembly. Approximately 20% of proteins within the PSMD9 interactome carry a short linear motif (SLiM) of the type 'EXKK'. The binding of purified PSMD9 with the peptide sequence ERKK, proteins heterogeneous nuclear ribonucleoproteins A2/B1 (hnRNPA2B1; containing ERKK), and peroxiredoxin-6 (PRDX6; containing EAKK) provided proof of principle for this motif-driven network. The EXKK motif in the peptide primarily interacts with the coiled-coil N domain of PSMD9, a unique interaction not reported for any coiled-coil domain. PSMD9 knockout (KO) HEK293 cells experience endoplasmic reticulum (ER) stress and respond by increasing the unfolded protein response (UPR) and reducing the formation of aggresomes and lipid droplets. Trans-expression of PSMD9 in the KO cells rescues lipid droplet formation. Overexpression of PSMD9 in HEK293 cells results in reduced UPR, and increased lipid droplet and aggresome formation. The outcome argues for the prominent role of PSMD9 in maintaining proteostasis. Probable mechanisms involve the binding of PSMD9 to binding immunoglobulin protein (BIP/GRP78; containing EDKK), an endoplasmic reticulum chaperone and key regulator of the UPR, and fatty acid synthase (FASN; containing ELKK), involved in fatty acid synthesis/lipid biogenesis. We propose that PSMD9 acts as a buffer in the cellular milieu by moderating the UPR and enhancing aggresome formation to reduce stress-induced proteotoxicity. Akin to waves created in ponds that perpetuate to a distance, perturbing the levels of PSMD9 would cause ripples down the networks, affecting final reactions in the pathway, one of which is altered proteostasis.

Prevalence and clinical correlates of thyroid dysfunction in first-episode and drug-naïve major depressive disorder patients with metabolic syndrome

BACKGROUND

Few studies have investigated the relative factors of thyroid dysfunction in major depressive disorder (MDD) patients with Metabolic syndrome (MetS). This study aimed to explore the prevalence and related factors associated with thyroid dysfunction in drug-naïve (FEDN) MDD patients with MetS.

METHODS

1718 FEDN MDD patients were recruited and their demographic data, clinical data were collected. Various biochemical indicators including fasting blood glucose (FBG), blood lipids and thyroid hormones were measured. The 17-item Hamilton Rating Scale for Depression (HAMD-17), 14-item Hamilton Anxiety Rating Scale (HAMA-14) and positive subscale of the Positive and Negative Syndrome Scale (PANSS) were used to assess clinical symptoms.

RESULTS

Among FEDN MDD patients, MetS was an independent risk factor for TSH abnormality (P < 0.001, Adjusted OR = 3.77, 95%CI: 2.82-5.05). In patients with MetS, those with TSH abnormality had significantly longer duration of illness, higher HAMD, HAMA, and PANSS positive subscale scores, higher levels of TC, LDL-C, blood glucose, pressure, lower levels of HDL-C, and a higher probability of suicide attempt (all P < 0.01).

CONCLUSIONS

MetS is significantly associated with thyroid dysfunction in patients with FEDN MDD. Related factors for thyroid dysfunction include a number of clinical indicators and psychiatric symptoms.

Exploring the impact of chronic medical conditions on maternal mental health: A National Inpatient Sample analysis

BACKGROUND

Pregnancy and postpartum period are associated with stress and pain. Chronic medical conditions can aggravate depressive and psychotic mental illnesses in the peripartum period.

AIM

The study aimed to investigate the association between different chronic medical conditions and mental illnesses during pregnancy and the postpartum period using the National Inpatient Sample (NIS).

METHODS

Pregnant women or women in the postpartum period were retrieved from the NIS 2016-2019 database using the International Classification of Diseases (ICD)-10 and set as our targeted population. Postpartum depression, puerperal psychosis, and mental illnesses related to pregnancy were also retrieved as our outcomes of interest. STATA 15 was used to analyze the data and investigate the relationship between chronic medical conditions and pregnancy-related mental illnesses.

RESULTS

2,854,149 admissions were retrieved from the database with a mean age of 29 ± 6 years old. Univariate and multivariate analyses showed a significant association between chronic medical conditions and postpartum depression, puerperal psychosis, and other mental illnesses. On univariate analysis, heart failure (odds ratio [OR] = 13.9; 95% confidence interval [CI] = 3.5-55.88; P < 0.001), alcohol misuse (OR = 5.3; 95% CI = 1.7-16.4; P = 0.004), and migraine (OR = 3.9; 95% CI = 2.8-5.3; P < 0.001) showed high association with postpartum depression. Epilepsy (OR = 54.37; 95% CI = 7.4-399.34; P < 0.001), systemic lupus erythematosus (OR = 24.66; 95% CI = 3.36-181.1; P = 0.002), and heart diseases (OR = 15.26; 95% CI = 3.6-64.5; P < 0.001) showed the highest association with puerperium psychosis. Alcohol misuse (OR = 8.21; 95% CI = 7.4-9.12; P < 0.001), osteoarthritis (OR = 6.02; 95% CI = 5.41-6.70; P < 0.001), and migraine (OR = 5.71; 95% CI = 5.56-5.86; P < 0.001) showed the highest association with other mental illnesses during pregnancy and the postpartum period.

CONCLUSION

Heart diseases, alcohol misuse, migraine, systemic lupus erythematosus, and epilepsy were the most important chronic medical conditions associated with mental diseases during pregnancy and the postpartum period. This investigation recommends integrating management of chronic diseases and mental health care together. Specifically, screening for mental illnesses should be a routine part of care for patients with chronic medical conditions, especially during pregnancy and early postpartum. By identifying and addressing mental health issues early on, healthcare providers can improve the overall health and well-being of these patients, ultimately leading to better maternal and fetal outcomes.

Prevalence and factors associated with metabolic syndrome in first hospitalization for major depression disorder patients

Major depressive disorder (MDD) is a common and socially burdensome psychiatric disorder with a causal and complex relationship with metabolic syndrome (MetS), which is often co-morbid. However, the prevalence and risk factors for MetS in patients with MDD are inconclusive. The purpose of this study is to investigate the prevalence and factors influencing MetS in first hospitalization MDD patients. A total of 981 MDD patients were included. Sociodemographic and general clinical data were collected from the patients, while metabolism-related parameters were also measured, and psychological symptoms were assessed. Our study found that the prevalence of MetS in the study population was 9.68%. MDD patients with MetS had higher levels of metabolism-related parameters and more severe psychological symptoms. We identified risk factors for MetS and its severity separately: age of onset of MDD, more severe depressive symptoms, and higher thyroid stimulating hormone (TSH) levels were risk factors for the development of MetS, whereas higher TSH levels were risk factors for the severity of MetS. Our results suggest that MetS is not highly prevalent in MDD patients, but certain risk factors may increase its likelihood and severity, and that these findings could be beneficial for clinical intervention and care of MetS.

BDNF rs962369 Is Associated with Major Depressive Disorder

This study enrolled 291 patients diagnosed with depression and schizophrenia (F32, F33, and F20 according to ICD-10) and 227 ethnicity-matched control subjects. We analyzed the distribution of BDNF rs6265 and BDNF rs962369 genotypes, finding no significant associations between these and schizophrenia. We revealed a significant increase in the risk of single-episode major depression disorder (MDD) for rs962369 minor allele homozygotes (CC vs. TT+TC), an association that persisted after adjusting for age and sex (OR 3.47; 95% CI 1.36-8.85; p = 0.009). Furthermore, rs962369 genotype was significantly associated with an increased risk of recurrent MDD in a log-additive model (OR per C-allele 1.65; 95% CI 1.11-2.45; p = 0.013). A comparative analysis between MDD subtypes and between MDD subtypes and schizophrenia showed no significant differences for BDNF rs6265. Notably, the frequency of minor allele C of BDNF rs962369 varied across subgroups, with the highest frequency in patients with recurrent MDD (0.32) and the lowest in schizophrenia patients (0.20). The presence of genotypes with at least one minor allele C was significantly higher in the recurrent MDD patient group compared to the schizophrenia group. In conclusion, the BDNF rs962369 variant was associated with MDD but not with schizophrenia.

Novel corticotropin-releasing hormone receptor genes (CRHR1 and CRHR2) linkage to and association with polycystic ovary syndrome

BACKGROUND

Women with polycystic ovarian syndrome (PCOS) have increased hypothalamic-pituitary-adrenal (HPA) axis activation, pro-inflammatory mediators, and psychological distress in response to stressors. In women with PCOS, the corticotropin-releasing hormone (CRH) induces an exaggerated HPA response, possibly mediated by one of the CRH receptors (CRHR1 or CRHR2). Both CRHR1 and CRHR2 are implicated in insulin secretion, and variants in CRHR1 and CRHR2 genes may predispose to the mental-metabolic risk for PCOS.

METHODS

We phenotyped 212 Italian families with type 2 diabetes (T2D) for PCOS following the Rotterdam diagnostic criteria. We analyzed within CRHR1 and CRHR2 genes, respectively, 36 and 18 microarray-variants for parametric linkage to and/or linkage disequilibrium (LD) with PCOS under the recessive with complete penetrance (R1) and dominant with complete penetrance (D1) models. Subsequentially, we ran a secondary analysis under the models dominant with incomplete penetrance (D2) and recessive with incomplete penetrance (R2).

RESULTS

We detected 22 variants in CRHR1 and 1 variant in CRHR2 significantly (p < 0.05) linked to or in LD with PCOS across different inheritance models.

CONCLUSIONS

This is the first study to report CRHR1 and CRHR2 as novel risk genes in PCOS. In silico analysis predicted that the detected CRHR1 and CRHR2 risk variants promote negative chromatin activation of their related genes in the ovaries, potentially affecting the female cycle and ovulation. However, CRHR1- and CRHR2-risk variants might also lead to hypercortisolism and confer mental-metabolic pleiotropic effects. Functional studies are needed to confirm the pathogenicity of genes and related variants.

The heterogeneity of metabolic syndrome presentation and challenges this causes in its pharmacological management: a narrative review focusing on principal risk modifiers

INTRODUCTION

Metabolic syndrome (MetS), i.e. the cluster of cardiometabolic risk factors comprising visceral obesity, impaired glucose metabolism, arterial hypertension and atherogenic dyslipidemia, is prevalent globally and exacts a heavy toll on health care expenditures.

AREAS COVERED

The pathophenotypes of individual traits of the MetS in adults are discussed first, with strong emphasis on nonalcoholic fatty liver disease (NAFLD) and sex differences. Next, I discuss recent studies on phenotypic and outcome heterogeneity of the MetS, highlighting the role of NAFLD, sex, reproductive status, and depressive disorders. In the second half of the article, the therapeutic implications of the variable MetS types and features are analyzed, focusing on the most recent developments, and guidelines.

EXPERT OPINION

I have identified physiological, pathological, social and medical sources of phenotypical heterogeneity in the MetS and its constitutive traits. Improved understanding of these variables may be utilized in the setting of future precision medicine approaches in the field of metabolic disorders and target organ damage.

Metabolic syndrome and related factors in a large sample of antipsychotic naïve patients with first-episode psychosis: 3 years follow-up results from the PAFIP cohort

BACKGROUND

Latest studies in patients with first episode psychosis (FEP) have shown alterations in cardiovascular, immune and endocrinological systems. These findings could indicate a systemic onset alteration in the metabolic disease as opposed to justifying these findings exclusively by antipsychotics' side effects and long-term lifestyle consequences. In any case, this population is considered at higher risk for developing cardiometabolic disorders than their age-matched peers.

METHODS

This is a prospective longitudinal study. Metabolic syndrome (MetS) prevalence between 244 subjects with FEP and 166 controls at 3 years was compared. Additionally, we explored whether baseline differences in any of the MetS components according to Adult Treatment Panel III definition and prescribed antipsychotic could help to predict the MetS development at 3 years.

RESULTS

Patients with FEP present a similar baseline prevalence of MetS (6.6% vs 5.4%, p=0.320), according to ATP-III criteria. but with a higher prevalence of metabolic alterations than controls before the start of antipsychotic treatment. At 3-years follow-up the MetS prevalence had increased from 6.6% to 18.3% in the FEP group, while only from 5.4% to 8.1% in the control group. The multivariate model showed that, before antipsychotic exposure, a baseline altered waist circumference WC (OR=1.1, p=0.011), triglycerides (OR=1.1, p=0.043) and high-density lipoprotein HDL (OR=0.9, p=0.008) significantly predicted the presence of MetS at 3-years. We propose a predictive model of MetS at 3 years in 244 drug-naïve FEP patients.

CONCLUSION

We found that altered WC, HDL and triglycerides at baseline predicted the presence of full MetS after 3-years of initiating antipsychotic treatment. Our findings support the need for interventions to improve factors related to the physical health of FEP individuals.

Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients

BACKGROUND

Metabolic syndromes (MetS) are clinical syndromes involving multiple pathological states with distinct gender-specific clinical patterns. As a serious disorder associated with psychiatric conditions, the prevalence of MetS is significantly higher in the population with schizophrenia (Sch). The aim of this paper is to report gender differences in the prevalence, associated factors and severity-related factors of MetS in first-treatment and drug-naïve (FTDN) patients with Sch.

METHODS

A total of 668 patients with FTDN Sch were included in this study. We collected socio-demographic and general clinical information on the target population, measured and evaluated common metabolic parameters and routine biochemical indicators, and assessed the severity of psychiatric symptoms using Positive and Negative Symptom Scale (PANSS).

RESULTS

In the target group, the prevalence of MetS was significantly higher in women (13.44%, 57/424) than in men (6.56%, 16/244). In the males, waist circumference (WC), fasting blood glucose (FBG), diastolic blood pressure (DBP), and triglycerides (TG) were risk factors for MetS, while systolic blood pressure (SBP), TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and platelet (PLT) were risk factors for the females. More importantly, for the females, we found that age, LDL-C, PANSS scores and blood creatinine (CRE) were risk factors for higher MetS scores, while onset age and hemoglobin (HGB) were protective factors.

CONCLUSION

There are significant gender differences in the prevalence of MetS and its factors among patients with FTDN Sch. The prevalence of MetS is higher and the factors that influence MetS are more numerous and extensive in females. The mechanisms of this difference need further research and clinical intervention strategies should be formulated with gender differences.

Association Between Prolactin, Estradiol, and Testosterone Levels and the Development of Metabolic Syndrome in Female Inpatients with Schizophrenia: A Case-Control Study

This study was to investigate the association between sex hormone levels and metabolic syndrome (MetS) risk in female schizophrenia inpatients. In total, 93 female schizophrenia patients were enrolled based on their electronic medical records of hospitalization at the Zigong Psychiatric Research Center, China, between August 2022 to September 2022. Baseline information was collected retrospectively from medical records 6 months before. Logistic regression analysis was applied to assess the potential relationship between sex hormone levels and the risk of developing MetS. 31.2% (29/93) of the total patients, 25.5% (12/47) of the 18-49 age group, and 37.0% (17/46) of the ≥ 50 age group had a history of MetS; the newly-developed MetS prevalence among all female schizophrenia patients was 15.05% (14/93), which was slightly higher but not statistically significant in older patients (age ≥ 50) than in younger patients (age 18-49) (≥ 50 vs. 18-49, 21.74% vs. 8.5%, p = 0.074). Univariate analysis of sex hormone levels and developed MetS discovered that only high prolactin levels correlated with developed MetS in total participants (p = 0.006), especially in older patients (p = 0.004), while estradiol and testosterone levels were not associated. Furthermore, univariate logistic regression analysis of the total participants and with an adjusted model of the ≥ 50 age group confirmed the association of prolactin with MetS in all (OR = 1.016, 95%CI:1.002-1.029, p = 0.023), and older female schizophrenia patients (OR = 1.04, 95%CI: 1.01-1.07, p = 0.008). High serum levels of prolactin in older patients (age ≥ 50) were strongly correlated with the risk of developing MetS among female schizophrenia patients.

Quality of life and its influencing factors in patients with schizophrenia

Schizophrenia is a chronic mental disease. With the change of medical model, quality of life has gradually become an important prognostic indicator for patients with schizophrenia. People with schizophrenia have a lower quality of life than the general population or people with other chronic diseases, Sociodemographic factors such as age, gender, employment, education level, income and living situation; clinical factors such as psychiatric symptoms, medication compliance and insight; and psychosocial factors such as social support, cognition, stigma, self-esteem and needs are the main influencing factors for schizophrenia patients. Medication and psychological interventions such as social skills training, family intervention, cognitive correction and cognitive behavioral therapy can be used to improve the quality of life of patients with schizophrenia. Understanding the factors affecting the quality of life of schizophrenia patients and the improvement measures helps to provide reference for improving their quality of life.

Choroidal structural analysis in ultra-high risk and first-episode psychosis

Both structural and functional alterations in the retina and the choroid of the eye, as parts of the central nervous system, have been shown in psychotic disorders, especially in schizophrenia. In addition, genetic and imaging studies indicate vascular and angiogenesis anomalies in the psychosis spectrum disorders. In this ocular imaging study, choroidal structure and vascularity were investigated using enhanced depth imaging (EDI) optical coherence tomography (OCT) in first-episode psychosis (FEP), ultra-high risk for psychosis (UHR-P), and age- and gender- matched healthy controls (HCs). There were no significant differences between groups in central choroidal thickness, stromal choroidal area (SCA), luminal choroidal area (LCA) and total subfoveal choroidal area. The LCA/SCA ratio (p<0.001) and the choroidal vascularity index (CVI) (p<0.001) were significantly different between FEP, UHR-P and HCs. CVI and LCA/SCA ratio were significantly higher in patients with FEP compared to help-seeking youth at UHR-P. CVI and LCA/SCA ratio were not different between UHR-P and HCs. However, CVI was higher in UHR-P compared to HCs after excluding the outliers for the sensitivity analysis (p = 0.002). Current findings suggest that choroidal thickness is normal, but there are abnormalities in choroidal microvasculature in prodromal and first-episode psychosis. Further longitudinal studies are needed to investigate oculomics, especially CVI, as a promising biomarker for the prediction of conversion to psychosis in individuals at clinical high-risk.

Shared genetic architecture between type 2 diabetes and COVID-19 severity

PURPOSE

Patients with type 2 diabetes (T2D) have demonstrated a higher risk for developing more severe cases of COVID-19, but the complex genetic mechanism between them is still unknown. The aim of the present study was to untangle this relationship using genetically based approaches.

METHODS

By leveraging large-scale genome-wide association study (GWAS) summary statistics of T2D and COVID-19 severity, linkage disequilibrium score regression and Mendelian randomization (MR) analyses were utilized to quantify the genetic correlations and causal relationships between the two traits. Gene-based association and enrichment analysis were further applied to identify putative functional pathways shared between T2D and COVID-19 severity.

RESULTS

Significant, moderate genetic correlations were detected between T2D and COVID-19 hospitalization (r_g = 0.156, SE = 0.057, p = 0.005) or severe disease (r_g = 0.155, SE = 0.057, p = 0.006). MR analysis did not support evidence for a causal effect of T2D on COVID-19 hospitalization (OR 1.030, 95% CI 0.979, 1.084, p = 0.259) or severe disease (OR 0.999, 95% CI 0.934, 1.069, p = 0.982). Genes having p_gene < 0.05 for both T2D and COVID-19 severe were significantly enriched for biological pathways, such as response to type I interferon, glutathione derivative metabolic process and glutathione derivative biosynthetic process.

CONCLUSIONS

Our findings further confirm the comorbidity of T2D and COVID-19 severity, but a non-causal impact of T2D on severe COVID-19. Shared genetically modulated molecular mechanisms underlying the co-occurrence of the two disorders are crucial for identifying therapeutic targets.

Shared genetics of psychiatric disorders and type 2 diabetes:a large-scale genome-wide cross-trait analysis

BACKGROUND

Individuals with psychiatric disorders have elevated rates of type 2 diabetes comorbidity. Although little is known about the shared genetics and causality of this association. Thus, we aimed to investigate shared genetics and causal link between different type 2 diabetes and psychiatric disorders.

METHODS

We conducted a large-scale genome-wide cross-trait association study(GWAS) to investigate genetic overlap between type 2 diabetes and anorexia nervosa, attention deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, schizophrenia, anxiety disorders and Tourette syndrome. By post-GWAS functional analysis, we identify variants genes expression in various tissues. Enrichment pathways, potential protein interaction and mendelian randomization also provided to research the relationship between type 2 diabetes and psychiatric disorders.

RESULTS

We discovered that type 2 diabetes and psychiatric disorders had a significant correlation. We identified 138 related loci, 32 were novel loci. Post-GWAS analysis revealed that 86 differentially expressed genes were located in different brain regions and peripheral blood in type 2 diabetes and related psychiatric disorders. MAPK signaling pathway plays an important role in neural development and insulin signaling. In addition, there is a causal relationship between T2D and mental disorders. In PPI analysis, the central genes of the DEG PPI network were FTO and TCF7L2.

CONCLUSION

This large-scale genome-wide cross-trait analysis identified shared genetics andpotential causal links between type 2 diabetes and related psychiatric disorders, suggesting potential new biological functions in common among them.

The Wistar Kyoto Rat: A Model of Depression Traits

There is an ongoing debate about the value of animal research in psychiatry with valid lines of reasoning stating the limits of individual animal models compared to human psychiatric illnesses. Human depression is not a homogenous disorder; therefore, one cannot expect a single animal model to reflect depression heterogeneity. This limited review presents arguments that the Wistar Kyoto (WKY) rats show intrinsic depression traits. The phenotypes of WKY do not completely mirror those of human depression but clearly indicate characteristics that are common with it. WKYs present despair- like behavior, passive coping with stress, comorbid anxiety, and enhanced drug use compared to other routinely used inbred or outbred strains of rats. The commonly used tests identifying these phenotypes reflect exploratory, escape-oriented, and withdrawal-like behaviors. The WKYs consistently choose withdrawal or avoidance in novel environments and freezing behaviors in response to a challenge in these tests. The physiological response to a stressful environment is exaggerated in WKYs. Selective breeding generated two WKY substrains that are nearly isogenic but show clear behavioral differences, including that of depression-like behavior. WKY and its substrains may share characteristics of subgroups of depressed individuals with social withdrawal, low energy, weight loss, sleep disturbances, and specific cognitive dysfunction. The genomes of the WKY and WKY substrains contain variations that impact the function of many genes identified in recent human genetic studies of depression. Thus, these strains of rats share characteristics of human depression at both phenotypic and genetic levels, making them a model of depression traits.

Association of metformin and depression in patients with type 2 diabetes

BACKGROUND

Emerging evidence showed metformin may have pleiotropic effects on ameliorating depression. However, whether metformin was associated with decreased risk of depression remains unclear.

METHODS

A historical cohort study was conducted based on a medical claim database from 2010 to 2017 in Beijing, China. Patients newly diagnosed with T2D were classified into the metformin and non-metformin groups according to their initial antidiabetic prescription. The incidences of depression between the groups were compared using Cox proportional regression model.

RESULTS

There were 193,624 (37.4 %) and 323,930 (62.6 %) T2D patients in the metformin and non-metformin groups. The mean age was 54.9 (SD: 13.1) years and 53.9% were females. With a median follow-up of 3.2 years, 64,963 patients developed depression. The adjusted incidence of depression in the metformin group (30.6, 95 % CI: 30.1, 31.0 per 1000 person-years) was significantly lower than in the non-metformin group (39.6, 95 % CI: 39.3, 40.0 per 1000 person-years, P < 0.001). The metformin group was significantly associated with a lower risk of depression compared with the overall non-metformin group (HR: 0.77, 95% CI: 0.75, 0.78), as well as compared with α-glucosidase inhibitors (HR: 0.73, 95 % CI: 0.71, 0.74), sulfonylureas (HR: 0.84, 95 % CI: 0.82, 0.86), and glinides (HR: 0.85, 95 % CI: 0.82, 0.88), except for thiazolidinediones (HR: 0.96, 95 % CI: 0.91, 1.01). The association between metformin and lower depression risk was significant in all the age and sex subgroups.

CONCLUSIONS

Metformin was associated with a lower risk of depression compared with other oral hypoglycemic agents, indicating a potential pleiotropic effect on depression.

Association between Insertion-Deletion Polymorphism of the Angiotensin-Converting Enzyme Gene and Treatment Response to Antipsychotic Medications: A Study of Antipsychotic-Naïve First-Episode Psychosis Patients and Nonadherent Chronic Psychosis Patients

We investigated whether a functional insertion/deletion (I/D) polymorphism of angiotensin-converting enzyme (ACE) influenced antipsychotic treatment. At baseline, and after 8 weeks of treatment with various antipsychotic medications, we assessed patients’ Positive and Negative Syndrome Scale (PANSS) scores, PANSS factors, and metabolic-syndrome-related parameters (fasting plasma lipid and glucose levels, and body mass index). A total of 186 antipsychotic-naïve first-episode psychosis patients or nonadherent chronic psychosis individuals (99 males and 87 females) were genotyped by polymerase chain reaction analysis. The ACE-I/D polymorphism was significantly associated with changes in PANSS psychopathology only (p < 0.05). Compared to ACE-II homozygous males, ACE-DD homozygous and ACE-ID heterozygous males manifested significantly greater decreases in PANSS positive score, PANSS excitement factor, and PANSS cognitive factor. ACE-DD homozygous females manifested higher decreases in PANSS depression factor compared to ACE-II homozygous and ACE-ID heterozygous females. The polymorphism’s effect size was estimated as moderate to strong, while its contribution to the PANSS psychopathology ranged from ~5.4 to 8.7%, with the lowest contribution observed for PANSS positive score changes and the highest for PANSS depressive factor changes. Our results indicate that ACE-I/D polymorphism had a statistically significant but weak gender-specific impact on psychopathology data, and showed no association between ACE-I/D polymorphism and metabolic-syndrome-related parameters.

Characteristics and Correlates of Metabolic Syndrome in Adolescents with Unipolar and Bipolar Depression: Results from a Cross-National Inpatient Case-Control Study

Abstract Objectives: To assess characteristics and correlates of metabolic syndrome (MetS) in adolescents with major depressive disorder (MDD) or bipolar disorder-depressive episode (BP-d). Methods: Case-control study, using national inpatient sample data, including adolescents (age, 12-18 years) with a primary diagnosis of MDD or BP-d. Using propensity score matching (based on age, sex, and race/ethnicity), we extracted cases with MetS (≥3 of the following conditions: obesity, diabetes, hypercholesterolemia, and hypertension) and controls without MetS. We used a multivariable logistic regression model calculating adjusted odds ratios (aORs) for potential correlates of MetS, focusing on primary mood disorders and psychiatric comorbidities. Results: In 607 age-/sex-/race/ethnicity-matched adolescents (MDD = 83.5%, BP-d = 16.5%), comparing those with (N = 332) versus without MetS (N = 275), MetS was most prevalent in later-age adolescents (mean age 16.3 years), females (58.1%), Whites (40.3%), and Blacks (31.5%). MetS was characterized by obesity (84.9% vs. 3.6%), hypertension (81% vs. 1.8%), diabetes (72.8% vs. 9.1%), and hypercholesterolemia (67.2% vs. 3.6%) (all p < 0.001). MetS was associated with a primary diagnosis of BP-d versus MDD (aOR 2.42, 95% confidence interval [CI] 1.47-3.97) and comorbid disruptive behavior disorders (DBD) (aOR 4.45, 95% CI 1.55-12.78), while comorbid substance use disorder reduced MetS risk (aOR 0.31, 95% CI 0.19-0.50). Conclusion: In adolescents with MDD or BP-d, MetS was associated with a primary BP-d diagnosis, and comorbid DBD. MetS-related parameters should be screened for early in adolescents with depression-spectrum disorders aiming to prevent the development or effects of MetS.

Primary care for individuals with serious mental illness (PriSMI): protocol for a convergent mixed methods study

INTRODUCTION

People with serious mental illness (SMI) have poor health outcomes, in part because of inequitable access to quality health services. Primary care is well suited to coordinate and manage care for this population; however, providers may feel ill-equipped to do so and patients may not have the support and resources required to coordinate their care. We lack a strong understanding of prevention and management of chronic disease in primary care among people with SMI as well as the context-specific barriers that exist at the patient, provider and system levels. This mixed methods study will answer three research questions: (1) How do primary care services received by people living with SMI differ from those received by the general population? (2) What are the experiences of people with SMI in accessing and receiving chronic disease prevention and management in primary care? (3) What are the experiences of primary care providers in caring for individuals with SMI?

METHODS AND ANALYSIS

We will conduct a concurrent mixed methods study in Ontario and British Columbia, Canada, including quantitative analyses of linked administrative data and in-depth qualitative interviews with people living with SMI and primary care providers. By comparing across two provinces, each with varying degrees of mental health service investment and different primary care models, results will shed light on individual and system-level factors that facilitate or impede quality preventive and chronic disease care for people with SMI in the primary care setting.

ETHICS AND DISSEMINATION

This study was approved by the University of Ottawa Research Ethics Board and partner institutions. An integrated knowledge translation approach brings together researchers, providers, policymakers, decision-makers, patient and caregiver partners and knowledge users. Working with this team, we will develop policy-relevant recommendations for improvements to primary care systems that will better support providers and reduce health inequities.

Implication of Melanocortin Receptor Genes in the Familial Comorbidity of Type 2 Diabetes and Depression

The melanocortin receptors are G-protein-coupled receptors, which are essential components of the hypothalamic–pituitary–adrenal axis, and they mediate the actions of melanocortins (melanocyte-stimulating hormones: α-MSH, β-MSH, and γ-MSH) as well as the adrenocorticotropin hormone (ACTH) in skin pigmentation, adrenal steroidogenesis, and stress response. Three melanocortin receptor genes (MC1R, MC2R, and MC5R) contribute to the risk of major depressive disorder (MDD), and one melanocortin receptor gene (MC4R) contributes to the risk of type 2 diabetes (T2D). MDD increases T2D risk in drug-naïve patients; thus, MDD and T2D commonly coexist. The five melanocortin receptor genes might confer risk for both disorders. However, they have never been investigated jointly to evaluate their potential contributing roles in the MDD-T2D comorbidity, specifically within families. In 212 Italian families with T2D and MDD, we tested 11 single nucleotide polymorphisms (SNPs) in the MC1R gene, 9 SNPs in MC2R, 3 SNPs in MC3R, 4 SNPs in MC4R, and 2 SNPs in MC5R. The testing used 2-point parametric linkage and linkage disequilibrium (LD) (i.e., association) analysis with four models (dominant with complete penetrance (D1), dominant with incomplete penetrance (D2), recessive with complete penetrance (R1), and recessive with incomplete penetrance (R2)). We detected significant (p ≤ 0.05) linkage and/or LD (i.e., association) to/with MDD for one SNP in MC2R (rs111734014) and one SNP in MC5R (rs2236700), and to/with T2D for three SNPs in MC1R (rs1805007 and rs201192930, and rs2228479), one SNP in MC2R (rs104894660), two SNPs in MC3R (rs3746619 and rs3827103), and one SNP in MC4R genes (Chr18-60372302). The linkage/LD/association was significant across different linkage patterns and different modes of inheritance. All reported variants are novel in MDD and T2D. This is the first study to report risk variants in MC1R, MC2R, and MC3R genes in T2D. MC2R and MC5R genes are replicated in MDD, with one novel variant each. Within our dataset, only the MC2R gene appears to confer risk for both MDD and T2D, albeit with different risk variants. To further clarity the role of the melanocortin receptor genes in MDD-T2D, these findings should be sought among other ethnicities as well.

Prospective cohort study of the evaluation of patient benefit from the redevelopment of a complete national forensic mental health service: the Dundrum Forensic Redevelopment Evaluation Study (D-FOREST) protocol

INTRODUCTION

Secure forensic mental health services are low volume, high cost services. They offer care and treatment to mentally disordered offenders who pose a high risk of serious violence to others. It is therefore incumbent on these services to systematically evaluate the outcomes of the care and treatment they deliver to ensure patient benefit in multiple domains. These should include physical and mental health outcomes, as well as offending related outcomes. The aim of Dundrum Forensic Redevelopment Evaluation Study (D-FOREST) is to complete a structured evaluation study of a complete national forensic mental health service, at the time of redevelopment of the National Forensic Mental Health Service for the Ireland.

METHODS AND ANALYSIS

D-FOREST is a multisite, prospective observational cohort study. The study uses a combination of baseline and repeated measures, to evaluate patient benefit from admissions to forensic settings. Patients will be rated for physical health, mental health, offending behaviours and other recovery measures relevant to the forensic hospital setting at admission to the hospital and 6 monthly thereafter.Lagged causal model analysis will be used to assess the existence and significance of potential directed relationships between the baseline measures of symptomatology of schizophrenia and violence risk and final outcome namely length of stay. Time intervals including length of stay will be measured by median and 95% CI using Kaplan-Meier and Cox regression analyses and survival analyses. Patient related measures will be rated as changes from baseline using general estimating equations for repeated measures, analysis of variance, analysis of covariance or logistic regression.

ETHICS AND DISSEMINATION

The study has received approval from the Research Ethics and Effectiveness Committee of the National Forensic Mental Health Service, Ireland. Results will be made available to the funder and to forensic psychiatry researchers via international conferences and peer-reviewed publications.

TRIAL REGISTRATION NUMBER

NCT05074732.

Olanzapine Promotes the Occurrence of Metabolic Disorders in Conditional TCF7L2-Knockout Mice

Objectives: Schizophrenia (SCZ) patients display higher incidence of metabolic syndrome (MetS) and comorbidity of type II diabetes. Both atypical antipsychotics and genetic variants are believed to predispose the patients with the risk, but their interplay remains largely unknown. TCF7L2 is one of the most common genes strongly associated with glucose homeostasis which also participates in the pathogenesis of schizophrenia. In this study, we aimed to explore the regulatory roles of TCF7L2 in atypical antipsychotics-induced MetS.

Methods: Mice with pancreatic β-cell–specific Tcf7l2 deletion (CKO) were generated. The CKO mice and control littermates were subjected to olanzapine (4 mg/kg/day) or saline gavage for 6 weeks. Metabolic indices, β cell mass, and the expressing levels of TCF7L2 and GLP-1R in the pancreatic tissue were closely monitored.

Results: Tcf7l2 CKO mice displayed a spectrum of core features of MetS, which included remarkably increased rate of weight gain, higher fasting insulin, higher values of blood lipids (cholesterol, triglyceride, and low-density lipoprotein), impaired glucose tolerance, and hypertrophy of adipocytes. Notably, these effects could be further exacerbated by olanzapine. In addition, Tcf7l2 CKO mice with the olanzapine group showed significantly decreased expressions of GLP-1R protein and a trend of reduced pancreatic β-cell mass. RT-qPCR revealed that the CKO mice presented a significantly less transcription of Sp5, an important element of the Wnt signaling pathway.

Conclusion: Our study illustrates that mice with pancreatic β-cell–targeted Tcf7l2 deletion were more vulnerable to suffer metabolic abnormalities after olanzapine administration. This impairment may be mediated by the reduced expression of GLP-1R.

Crosstalk between Schizophrenia and Metabolic Syndrome: The Role of Oxytocinergic Dysfunction

The high prevalence of metabolic syndrome in persons with schizophrenia has spurred investigational efforts to study the mechanism beneath its pathophysiology. Early psychosis dysfunction is present across multiple organ systems. On this account, schizophrenia may be a multisystem disorder in which one organ system is predominantly affected and where other organ systems are also concurrently involved. Growing evidence of the overlapping neurobiological profiles of metabolic risk factors and psychiatric symptoms, such as an association with cognitive dysfunction, altered autonomic nervous system regulation, desynchrony in the resting-state default mode network, and shared genetic liability, suggest that metabolic syndrome and schizophrenia are connected via common pathways that are central to schizophrenia pathogenesis, which may be underpinned by oxytocin system dysfunction. Oxytocin, a hormone that involves in the mechanisms of food intake and metabolic homeostasis, may partly explain this piece of the puzzle in the mechanism underlying this association. Given its prosocial and anorexigenic properties, oxytocin has been administered intranasally to investigate its therapeutic potential in schizophrenia and obesity. Although the pathophysiology and mechanisms of oxytocinergic dysfunction in metabolic syndrome and schizophrenia are both complex and it is still too early to draw a conclusion upon, oxytocinergic dysfunction may yield a new mechanistic insight into schizophrenia pathogenesis and treatment.

Transcutaneous auricular vagal nerve stimulation inhibits limbic-regional P2X7R expression and reverses depressive-like behaviors in Zucker diabetic fatty rats

Zucker diabetic fatty (ZDF) rats develop type 2 diabetes (T2D) along with depressive-like behaviors. Transcutaneous auricular vagal nerve stimulation (taVNS) has antidiabetic and antidepressant-like effects in ZDF rats; however, the underlying antidepressant-like mechanisms are unclear. The purinergic receptor P2X7R, which is related to inflammation and depression, is upregulated in the limbic brain regions of depressed patients and rodents and is considered as a potential therapeutic target. Thus, this study aimed to provide preliminary evidence at the molecular level of taVNS antidepressant-like effect in ZDF rats through testing their limbic-regional P2X7R expression. ZDF rats were subjected to taVNS and transcutaneous non-vagal nerve stimulation (tnVNS). Body weight and blood glucose levels were monitored weekly. Depressive-like behaviors were evaluated with the open-field test (OFT) and forced swimming test (FST). Limbic-regional P2X7R expression was examined by western blotting (WB). P2X7R expressing cells were detected by immunohistochemistry (IHC). Compared to their lean littermates (ZL rats), ZDF rats developed obesity, hyperglycemia, and depressive-like behaviors with elevated limbic-regional P2X7R expression. taVNS but not tnVNS lowered body weight, reduced and stabilized blood glucose levels, suppressed limbic-regional P2X7R expression, and reversed the depressive-like behaviors. P2X7R was found primarily expressed in ZDF rats' limbic-regional astrocytes. In conclusion, taVNS inhibits ZDF rats' limbic-regional P2X7R expression, which may be one of the taVNS antidepressant-like mechanisms.

Bidirectional association between physical multimorbidity and subclinical depression in Chinese older adults: Findings from a prospective cohort study

BACKGROUND

Both physical multimorbidity and subclinical depression pose a significant threat to aging population worldwide. The association between these conditions appeared to be in a bidirectional way, however the joint causal relationship yet to be fully understood in elderly Chinese population.

METHODS

A total of 4605 Chinese elders from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2015) were included for the present study. Physical multimorbidity was defined as having two or more self-reported chronic physical conditions. Subclinical depression was defined by ≥ 12 scores assessed using the 10-item Centre for Epidemiological Studies Depression Scale. The bidirectional association between physical multimorbidity and subclinical depression was examined using multivariable logistic regression models, adjusting for covariates.

RESULTS

During study period, 23.99% of participant reported incident episode of subclinical depression and 21.36% reported physical multimorbidity. In fully adjusted model, those with physical multimorbidity were two times more likely to have subclinical depression (OR = 2.05, 95% CI: 1.71-2.46). Besides that, subclinical depression was associated with physical multimorbidity (OR = 1.84, 95% CI: 1.50-2.46), but in slightly less magnitude. Furthermore, the bidirectional association remains statistically significant across different subgroups.

LIMITATIONS

Chronic conditions were all self-reported and we couldn't adjust for all confounders, which may be subject to measurement error.

CONCLUSIONS

Physical multimorbidity and subclinical depression was associated in a bidirectional way in elderly Chinese population, which highlights the necessary of covering a broad spectrum of aspects of clinical management among adults with physical multimorbidity or subclinical depression.

Cardiometabolic Disorders in the Offspring of Parents With Severe Mental Illness

OBJECTIVE

The elevated prevalence of cardiometabolic disorders is consistently reported in patients with severe mental illness (SMI). We explored the association between parental SMI and offspring cardiometabolic morbidity. Our hypothesis was that offspring of people with SMI have increased morbidity risk.

METHOD

The Northern Finland Birth Cohort 1966 is a study of offspring whose date of birth was expected in 1966. The follow-up lasted until 2015 (49 years). The final study sample included 11,175 children. We used parental SMI as the exposure in the study. The following cardiometabolic disorders were used as outcome measures: diabetes mellitus, hypertension, hyperlipidemia, coronary artery disease, obesity, and cerebrovascular disorders.

RESULTS

There were 139 (14.7%; hazard ratios [HR] = 1.63; 95% confidence interval [CI] = 1.36-1.94) children of parents with SMI who developed cardiometabolic disorder during follow-up and 957 (9.4%) in the comparison cohort. Statistically significant HRs were found in males (HR = 1.95; 95% CI =1.56-2.44), but not in females (HR = 1.29; 95% CI = 0.96-1.73).

CONCLUSIONS

Having a cardiometabolic disorder was associated with male offspring of parents with SMI. Our findings suggest that there is an elevated risk of coronary artery disease, hyperlipidemia, obesity, and hypertension in the male offspring of parents with SMI. Our results suggest that the somatic health of offspring of parents with SMI should also be considered in addition to their mental health in clinical practice.

Mortality gap and physical comorbidity of people with severe mental disorders: the public health scandal

BACKGROUND

Patients suffering from severe mental disorders, including schizophrenia, major depression and bipolar disorders, have a reduced life expectancy compared to the general population of up to 10-25 years. This mortality gap requires urgent actions from a public health perspective in order to be reduced.

MAIN TEXT

Factors associated with the high mortality rates in patients with severe mental disorders can be grouped into four groups: those related to the patients, to psychiatrists, to other non-psychiatrist medical doctors and to the healthcare system. Each of these factors should become the target of specific and dedicated interventions, in order to reduce the morbidity and mortality rate in patients with severe mental disorders. All these elements contribute to the neglect of physical comorbidity in patients with severe mental. In particular, the long-standing separation of psychiatry from other branches of medicine and the lack of specific training on this issue further contribute to the poor attention dedicated to management of physical comorbidities. Recently, several professional associations have invited national bodies regulating education of healthcare professionals to include the management of physical health of people with severe mental disorders in undergraduate and postgraduate educational programs.

CONCLUSIONS

The premature mortality in patients with severe mental disorders is a complex phenomenon resulting by the interaction of several protective and risk factors. Therefore, a multilevel approach is needed, in which the different stakeholders involved in health care provision establish workforces for the long-term management of physical and mental health conditions.

Multivariate alterations in insula - Medial prefrontal cortex linked to genetics in 12q24 in schizophrenia

The direct effect of genetic variations on clinical phenotypes within schizophrenia (SZ) remains elusive. We examined the previously identified association of reduced gray matter concentration in the insula - medial prefrontal cortex and a quantitative trait locus located in 12q24 in a SZ dataset. The main analysis was performed on 1461 SNPs and 830 participants. The highest contributing SNPs were localized in five genes including TMEM119, which encodes a microglial marker, that is associated with neuroinflammation and Alzheimer's disease. The gene set in 12q4 may partially explain brain alterations in SZ, but they may also relate to other psychiatric and developmental disorders.

The prevalence and clinical correlates of metabolic syndrome and cardiometabolic alterations in 430 drug-naive patients in their first episode of schizophrenia

RATIONALE

Although metabolic abnormalities and metabolic syndrome (MetS) have been extensively investigated in schizophrenia, few studies have examined them in first-episode drug-naive (FEDN) patients.

OBJECTIVES

This study aimed to investigate the prevalence and clinical correlates of metabolic abnormalities in FEDN schizophrenia patients.

METHODS

A total of 430 FEDN schizophrenia patients and 453 controls were recruited. Various parameters were measured including BMI, waist circumference, blood pressure, lipid profiles, blood glucose, glycosylated hemoglobin (HbA1c), insulin, and homeostatic model assessment for insulin resistance (HOMA-IR).

RESULTS

Patients had a higher prevalence of MetS, hypertension, hypertriglyceridemia, hypo-HDL-C, elevated HAb1c, and elevated insulin than controls (19.1% vs. 6.6%, OR = 2.52; 33.3% vs. 12.1%, OR = 3.05; 30.5% vs. 16.1%, OR = 2.25; 43.1% vs. 24.0%, OR = 2.21; 25.6% vs. 10.8%, OR = 2.62; 9.1% vs. 0.9%, OR = 10.29; all p_Bonferroni < 0.001). Waist circumference was associated with PANSS general psychopathology and total score (correlation coefficient r = 0.17, p_Bonferroni < 0.001; correlation coefficient r = 0.16, p_Bonferroni = 0.004). Fasting glucose was associated with PANSS negative, general psychopathology, and total score (correlation coefficient r = 0.13, p_Bonferroni = 0.03; correlation coefficient r = 0.19, p_Bonferroni < 0.001; correlation coefficient r = 0.20, p_Bonferroni < 0.001). BMI (OR = 1.37), smoking (OR = 3.39), and HOMA-IR (OR = 5.60) were associated with MetS in FEDN schizophrenia (all p < 0.001).

CONCLUSIONS

Our results demonstrate that MetS and metabolic abnormalities co-existed in the early stages of schizophrenia without antipsychotics. Waist circumference and glucose were associated with psychopathological symptoms, while BMI, smoking, and HOMA-IR were associated with MetS in FEDN schizophrenia.

Ceramides: Shared Lipid Biomarkers of Cardiovascular Disease and Schizophrenia

INTRODUCTION: Schizophrenia, although a debilitating mental illness, greatly affects individuals physical health as well. One of the leading somatic comorbidities associated with schizophrenia is cardiovascular disease, which has been estimated to be one of the leading causes of excess mortality in patients diagnosed with schizophrenia. Although the shared susceptibility to schizophrenia and cardiovascular disease is well established, the mechanisms linking these two disorders are not well understood. Genetic studies have hinted toward shared lipid metabolism abnormalities co-occurring in the two disorders, while lipid compounds have emerged as prognostic markers for cardiovascular disease. In particular, three ceramide species in the blood plasma, Cer(d18:1/16:0), Cer(d18:1/18:0), and Cer(d18:1/24:1), have been robustly linked to the latter disorder. AIM: We aimed to assess the differences in abundances of Cer(d18:1/16:0), Cer(d18:1/18:0), and Cer(d18:1/24:1) in the blood plasma of schizophrenia patients compared to healthy controls. METHODS: We measured the abundances of Cer(d18:1/16:0), Cer(d18:1/18:0), and Cer(d18:1/24:1) in a cohort of 82 patients with schizophrenia and 138 controls without a psychiatric diagnosis and validated the results using an independent cohort of 26 patients with schizophrenia, 55 control individuals, and 19 patients experiencing a first psychotic episode. RESULTS: We found significant alterations for all three ceramide species Cer(d18:1/16:0), Cer(d18:1/18:0), and Cer(d18:1/24:1) and a particularly strong difference in concentrations between psychiatric patients and controls for the ceramide species Cer(d18:1/18:0). CONCLUSIONS: The alteration of Cer(d18:1/16:0), Cer(d18:1/18:0), and Cer(d18:1/24:1) levels in the blood plasma might be a manifestation of metabolic abnormalities common to both schizophrenia and cardiovascular disease.

The roots of paternal depression: Experienced and nonexperienced trauma or Folie a Deux?

The transition to fatherhood may be challenged with anxiety and trepidation. A high prevalence has been found for paternal depression and it is reactive to maternal depression. This review aims to address potential sources of paternal depression, which may have adverse consequences on child development. We describe through three hypotheses how fathers may be at risk of depression during the transition to fatherhood: (1) psychological (interacting with ecological systems); (2) brain functional∖structural changes; and (3) (epi)genomic. We propose that paternal stressful experiences during the transition to fatherhood may be the source for paternal depression through direct stressful paternal experiences or via (potential, currently debated) nonexperienced (by the father) epigenomic transgenerational transmission. On the other hand, we suggest that resilient fathers may undergo a transient dysphoric period affected by identifying with the newborn's vulnerability as well as with the mother's postpartum vulnerability resulting in "paternity blues." In accordance with recent views on paternal "heightened sensitivity" toward the infant, we propose that the identification of both parents with the vulnerability of the newborn creates a sensitive period of Folie a Deux (shared madness) which may be a healthy transient, albeit a quasi-pathological period, recruited by the orienting response of the newborn for survival.

Differences in patterns of metabolic abnormality and metabolic syndrome between early-onset and adult-onset first-episode drug-naive schizophrenia patients

Although metabolic abnormalities and metabolic syndrome (MetS) often occur in schizophrenia, few studies have investigated them in early-onset schizophrenia (EOS) patients. To our knowledge, this was the first to compare clinical correlates of metabolic abnormalities between first-episode drug-naïve (FEDN) EOS and adult-onset schizophrenia (AOS) patients. A total of 489 Chinese FEDN schizophrenia patients (116 EOS and 373 AOS) and 451 healthy controls were recruited in this cross-sectional study. Blood pressure, waist circumference (WC), Body mass index (BMI), total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC), glucose, hemoglobin A1c (HbA1c), insulin and insulin resistance were measured. The Positive and Negative Syndrome Scale (PANSS) was applied to evaluate the clinical symptoms of schizophrenia patients, and higher scores on PANSS indicate increased severity. EOS patients had lower rates of: MetS, elevated WC, hypertriglyceridemia, hypercholesterolemia, and hyper-LDLC than EOS patients (all p < 0.05). In EOS patients, WC was positively associated with PANSS general psychopathology score (p = 0.04). In AOS patients, WC (p = 0.01; p = 0.02) and glucose (p < 0.001; p < 0.001) were positively associated with PANSS general psychopathology and total score. HOMA-IR was positively associated with PANSS total score (p = 0.04). Systolic BP, triglycerides and HDLC were main contributors to MetS in AOS (all p < 0.05), but not in EOS. BMI was a risk factor of MetS in EOS, while BMI and HOMA-IR were risk factors of MetS in AOS (all p < 0.05). Our results indicate differences in metabolic abnormalities patterns, risk factors and their association with clinical characteristics between Chinese EOS and AOS patients. DATA AVAILABILITY STATEMENT: The datasets that support the findings of this study are not publically available due to ongoing analyses for further publications, but are available from the corresponding author X.Z. upon reasonable request.

Gut microbiota and microbiome in schizophrenia

PURPOSE OF REVIEW

Accumulating evidence indicates that there are bidirectional interactions between the gut microbiota and functioning of the central nervous system. Consequently, it has been proposed that gut microbiota alterations might play an important role in the pathophysiology of schizophrenia. Therefore, in this article, we aimed to perform a narrative review of studies addressing gut microbiota alterations in patients with schizophrenia that were published in the years 2019-2020.

RECENT FINDINGS

Several studies have shown a number of gut microbiota alterations at various stages of schizophrenia. Some of them can be associated with neurostructural abnormalities, psychopathological symptoms, subclinical inflammation and cardiovascular risk. Experimental studies clearly show that transplantation of gut microbiota from unmedicated patients with schizophrenia to germ-free mice results in a number of behavioural impairments accompanied by altered neurotransmission. However, findings from clinical trials do not support the use of probiotics as add-on treatments in schizophrenia.

SUMMARY

Gut microbiota alterations are widely observed in patients with schizophrenia and might account for various biological alterations involved in the cause of psychosis. However, longitudinal studies are still needed to conclude regarding causal associations. Well designed clinical trials are needed to investigate safety and efficacy of probiotics and prebiotics in schizophrenia.

Gender differences in the associations of multiple psychiatric and chronic conditions with major depressive disorder among patients with opioid use disorder

PURPOSE

The study examined the associations of multiple psychiatric and chronic conditions with the self-reported history of major depressive disorder (MDD) among patients with opioid use disorder (OUD) and tested whether the associations differed by gender.

METHODS

We conducted a secondary data analysis of baseline data from a clinical trial including 1,646 participants with OUD, of which 465 had MDD. A variable cluster analysis was used to classify chronic medical and psychiatric conditions. Multivariable logistic regression analyses were used to estimate their associations with MDD in subjects with OUD.

RESULTS

Nine variables were divided into three clusters: cluster 1 included heart condition, hypertension, and liver problems; cluster 2 included gastrointestinal (GI) problems and head injury, and cluster 3 included anxiety disorder, bipolar disorder, and schizophrenia. The overall prevalence of MDD in participants with OUD was 28.3% (22.8% for males and 39.5% for females). Gender, anxiety disorder, schizophrenia, liver problems, heart condition, GI problems, and head injury were significantly associated with MDD. Gender-stratified analyses showed that bipolar disorder, liver problems and individuals with one chronic condition were associated with MDD only in males, whereas heart condition, hypertension, and GI problems were associated with MDD only in females. In addition, anxiety disorder, head injury, individuals with one or more than two psychiatric conditions, and individuals with more than two chronic conditions were associated with MDD regardless of gender.

CONCLUSIONS

Treatment plans in patients with OUD should not only address MDD but also co-morbid psychiatric and chronic medical conditions that occur with MDD.

[Schizophrenia and cardiometabolic disorders]

The aim of this review is to analyze the basic biological mechanisms of comorbidity of schizophrenia and metabolic, cardiovascular diseases, which are not directly associated with external risk factors. The study of the general pathophysiological mechanisms of schizophrenia and metabolic disorders can provide a significant basis not only for the fundamentally novel therapeutic, preventive and diagnostic measures, but also for a better understanding of the etiopathogenesis of these diseases. It seems likely that schizophrenia represents a heterogeneous group with a varying genetic basis for both mental symptoms and neuroendocrine, inflammatory processes that form concomitant somatic disorders. Thus, the new integrated approaches to the study of this problem with the latest methods of genetic and molecular research are relevant.

Association between retinal vascular caliber and brain structure in schizophrenia

OBJECTIVE

Several lines of research in the last decade have indicated the potential utility of retina as a window to the brain. Emerging evidence suggests abnormalities in retinal vascular caliber in schizophrenia. However, the relationship between retinal vascular measures and brain structure has not been examined in schizophrenia to date. Hence, we examined the relationship between retinal vasculature measured using fundus photography and brain structure measured using magnetic resonance imaging.

METHOD

We recruited 17 healthy volunteers and 20 patients with schizophrenia. Using a non-mydriatic camera, we captured the images for left and right eyes separately and retinal vascular calibers were calculated using a semi-automated software package. Whole-brain anatomical T1 MPRAGE images were acquired using a 3-Tesla MRI scanner. Whole-brain and regional volume and cortical thickness were calculated using the Freesurfer software package. We used FreeSurfer's QDEC interface to compute vertex-by-vertex for analysis of the volume and cortical thickness. The relation between brain volume, cortical thickness, and retinal vascular caliber was examined using partial correlation and regression analysis.

RESULTS

There was a significant negative correlation between average CRVE and global cortical mean thickness in schizophrenia but not in healthy. In schizophrenia patients, there was a significant negative correlation between average CRVE and cortical thickness in frontal regions - left rostral middle frontal, left superior frontal, and right caudal middle frontal gyri and posterior brain regions - left lateral occipital gyrus and left posterior cingulate cortex.

DISCUSSION

The findings of the study suggest potential utility of retinal venular diameter as a proxy marker to abnormal neurodevelopment in schizophrenia.

Smoking Affects the Patterns of Metabolic Disorders and Metabolic Syndrome in Patients With First-Episode Drug-Naive Schizophrenia: A Large Sample Study Based on the Chinese Han Population

OBJECTIVE

Although metabolic disorders and smoking are common in schizophrenia, few studies have investigated the effects of smoking on metabolic disorders or metabolic syndrome (MetS) in schizophrenia patients, especially in first-episode drug-naïve (FEDN) patients. We sought to investigate the differences in metabolic disorders and MetS between smoking and nonsmoking FEDN schizophrenia patients.

METHODS

A total of 428 FEDN schizophrenia patients and 435 controls were recruited. Blood pressure, waist circumference, body mass index (BMI), lipid profiles, and glucose metabolism were measured. The psychopathology was evaluated by Positive and Negative Syndrome Scale.

RESULTS

FEDN schizophrenia patients had a higher smoking rate than controls (23.8% vs 14.0%, P < .001). After adjusting for confounding variables, the prevalence of MetS, overweight, hypertension, hypertriglyceridemia, elevated insulin, and insulin resistance in smoking patients was higher than those in nonsmoking patients, while overweight and hypertension were higher in the smoking controls than in nonsmoking controls (all P < .05). In smoking patients, triglyceridemia, high-density lipoprotein cholesterol, and fasting blood glucose were the main contributing components to MetS, while in nonsmoking patients, waist circumference, systolic blood pressure, triglyceridemia, high-density lipoprotein cholesterol, and fasting blood glucose were the main contributing components to MetS. In smoking patients, BMI and homeostatic model assessment for insulin resistance were associated factors of MetS (both P < .05). In nonsmoking patients, sex, BMI, insulin, and homeostatic model assessment for insulin resistance were associated factors of MetS (all P < .05).

CONCLUSIONS

Our study indicates that smoking schizophrenia patients have a higher prevalence of MetS and metabolic disorders than nonsmoking patients. Moreover, smoking and nonsmoking patients have different contributing components and associated factors for MetS.

Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus

The mortality rate of patients with schizophrenia is high, and life expectancy is shorter by 10 to 20 years. Metabolic abnormalities including type 2 diabetes mellitus (T2DM) are among the main reasons. The prevalence of T2DM in patients with schizophrenia may be epidemiologically frequent because antipsychotics induce weight gain as a side effect and the cognitive dysfunction of patients with schizophrenia relates to a disordered lifestyle, poor diet, and low socioeconomic status. Apart from these common risk factors and risk factors unique to schizophrenia, accumulating evidence suggests the existence of common susceptibility genes between schizophrenia and T2DM. Functional proteins translated from common genetic susceptibility genes are known to regulate neuronal development in the brain and insulin in the pancreas through several common cascades. In this review, we discuss common susceptibility genes, functional cascades, and the relationship between schizophrenia and T2DM. Many genetic and epidemiological studies have reliably associated the comorbidity of schizophrenia and T2DM, and it is probably safe to think that common cascades and mechanisms suspected from common genes' functions are related to the onset of both schizophrenia and T2DM. On the other hand, even when genetic analyses are performed on a relatively large number of comorbid patients, the results are sometimes inconsistent, and susceptibility genes may carry only a low or moderate risk. We anticipate future directions in this field.

The role of depression in the prediction of a "late" remission in first-episode psychosis: An analysis of the OPTiMiSE study

OBJECTIVE

The identification of predictors of psychosis remission could guide early clinical decision-making for treatment of first-episode schizophrenia (FES).

METHODS

We analyzed two non-independent subsamples of patients with FES ages 18-40 years from the OPTiMiSE study dataset to investigate the demographic and clinical factors that might help to differentiate "late" remitters (i.e., not in remission at week 2 or 4, but achieving remission within a 10-week follow-up period) from non-remitters within the same period.

RESULTS

Subsample 1 included 216 individuals (55 females, mean age 25.9 years) treated with amisulpride in an open-label design who were not in remission at week 2. Early symptomatic response between baseline and week 2 (odds ratio (OR) = 4.186, 95% confidence interval (CI) = 2.082-8.416, p < 0.001) and older age (OR = 1.081, 95% CI = 1.026-1.138, p = 0.003) were the only variables significantly associated with a higher probability of psychosis remission at week 4. Subsample 2 was composed of the 72 participants (19 females, mean age 25.1 years) who were not in remission at week 4 and completed a 6-week double-blind randomized trial comparing continuation of amisulpride with switch to olanzapine. Depression at baseline (as measured with the Calgary Depression Scale for Schizophrenia) was significantly associated with a nearly 3-fold lower likelihood of psychosis remission during the 10-week follow-up (hazard ratio = 2.865, 95% CI = 1.187-6.916, p = 0.019).

CONCLUSION

Our results reinforce the importance of assessing depressive symptoms in people with FES and support the relevance of an early response (as early as 2 weeks) as a predictor of clinical outcome in this population.

CLINICAL TRIALS REGISTRATION

ClinicalTrials.gov identifier: NCT01248195, https://clinicaltrials.gov/ct2/show/NCT01248195.

Omega-3 fatty acids reduce cardiometabolic risk in first-episode schizophrenia patients treated with antipsychotics: Findings from the OFFER randomized controlled study

Metabolic syndrome (MetS) increases the risk of premature mortality observed in schizophrenia (SCZ). N-3 polyunsaturated fatty acid (PUFA) deficiency has been reported in different stages of schizophrenia. N-3 PUFA supplementation was found to be beneficial in both chronic SCZ and MetS. No intervention studies based on n-3 PUFA as add-on therapy to antipsychotics have examined the changes in MetS risk in first-episode schizophrenia.

AIM

This randomized placebo-controlled trial assesses the effect of a 26-week intervention composed of either 2.2 g/day of n-3 PUFA or olive oil placebo on the frequency of MetS and the changes in its constituents as a secondary outcome measure.

METHODS

Seventy-one adult inpatients diagnosed with first-episode schizophrenia were randomly assigned to study groups. The active intervention used a 3:2 mixture of eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids. Metabolic syndrome components were monitored throughout the study.

RESULTS

A significant reduction in the frequency of MetS was observed in the EPA + DHA group (p = 0.0408); as well as some specific MetS components: e.g., a decrease in fasting blood glucose (p = 0.045). The beneficial effects of EPA + DHA were even more pronounced in patients treated mainly with olanzapine, e.g. significant reductions of total cholesterol (p = 0.037) and blood glucose levels (p = 0.034). Significant positive correlations were found between the general psychopathology subscale of PANSS (primary outcome) and triglyceride level changes.

CONCLUSION

N-3 PUFA supplementation in early SCZ may constitute a safe and affordable intervention that can reduce the risk of MetS and its lethal complications.

The association between prolactin concentration and aggression in female patients with schizophrenia

OBJECTIVES

This study assessed the association between serum prolactin (PRL) concentration and aggression in female patients with schizophrenia.

METHODS

Female patients with schizophrenia (N = 120) were diagnosed using SCID-5 based on the DSM-5 criteria. They were sampled at the University Psychiatric Hospital Vrapce during the period from March 2017 to March 2019. Aggression was evaluated using the Positive and Negative Syndrome Scale (PANSS), and Overt Aggression Scale (OAS). Patients were subdivided into aggressive and non-aggressive groups. PRL was determined in serum using electrochemiluminescence (ECLIA) method.

RESULTS

Aggressive patients with schizophrenia had significantly (p < 0.0001) increased PRL concentration compared to non-aggressive patients. Higher PRL concentration was significantly (p < 0.0001) associated with pronounced aggressive symptoms determined by the OAS scores. When patients were subdivided into those who were treated with risperidone, haloperidol, paliperidone, amisulpride, and a group that was not treated with these antipsychotics, aggressive patients in both groups had significantly higher PRL concentrations than non-aggressive patients. Higher antipsychotic dose was related to increased PRL concentration (p = 0.004).

CONCLUSIONS

Our findings suggest that higher PRL is significantly associated with aggression, irrespective of the antipsychotic medication, in female patients with schizophrenia.

Periodontal Pathogens and Neuropsychiatric Health

Increasing evidence incriminates low-grade inflammation in cardiovascular, metabolic diseases, and neuropsychiatric clinical conditions, all important causes of morbidity and mortality. One of the upstream and modifiable precipitants and perpetrators of inflammation is chronic periodontitis, a polymicrobial infection with Porphyromonas gingivalis (P. gingivalis) playing a central role in the disease pathogenesis. We review the association between P. gingivalis and cardiovascular, metabolic, and neuropsychiatric illness, and the molecular mechanisms potentially implicated in immune upregulation as well as downregulation induced by the pathogen. In addition to inflammation, translocation of the pathogens to the coronary and peripheral arteries, including brain vasculature, and gut and liver vasculature has important pathophysiological consequences. Distant effects via translocation rely on virulence factors of P. gingivalis such as gingipains, on its synergistic interactions with other pathogens, and on its capability to manipulate the immune system via several mechanisms, including its capacity to induce production of immune-downregulating micro-RNAs. Possible targets for intervention and drug development to manage distal consequences of infection with P. gingivalis are also reviewed.