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Background: Dimensional approaches can decompose a construct in a set of continuous variables, improving the characterization of complex phenotypes, such as schizophrenia. However, the five-factor model of the Positive and Negative Syndrome Scale (PANSS), the most used instrument in schizophrenia research, yielded poor fits in most confirmatory factor analysis (CFA) studies, raising concerns about its applications. Thus, we aimed to identify dimensional PANSS CFA models with good psychometric properties by comparing the traditional CFA with three methodological approaches: Bayesian CFA, multilevel modeling, and Multiple Indicators Multiple Causes (MIMIC) modeling., Methods: Clinical data of 700 schizophrenia patients from four centers were analyzed. We first performed a traditional CFA. Next, we tested the three techniques: 1) a Bayesian CFA; 2) a multilevel analysis using the centers as level; and 3) a MIMIC modeling to evaluate the impact of clinical staging on PANSS factors and items., Results: CFA and Bayesian CFA produced poor fit models. However, when adding a multilevel structure to the CFA model, a good fit model emerged. MIMIC modeling yielded significant differences in the factor structure between the clinical stages of schizophrenia. Sex, age, age of onset, and duration of illness did not significantly affect the model fit., Conclusion: Our comparison of different CFA methods highlights the need for multilevel structure to achieve a good fit model and the potential utility of staging models (rather than the duration of illness) to deal with clinical heterogeneity in schizophrenia. Large prospective samples with biological data should help to understand the interplay between psychometrics concerns and neurobiology research., (Copyright © 2018. Published by Elsevier B.V.)

Early identification of symptoms that can predict treatment-resistant schizophrenia (TRS) could help clinicians to avoid delays in clozapine therapy. This study aims to investigate symptom patterns that could predict TRS using a discovery/replication study design. First, we followed a cohort of inpatients with schizophrenia (n = 164) in which the most discriminative items at baseline of the Positive and Negative Syndrome Scale (PANSS) were determined using logistic regression with TRS status as an outcome. Using Receiver Operating Characteristic (ROC) curves, we tested the prediction performance of multiple combinations of the identified items. The same items' combination was tested in an independent replication sample of (n = 207) outpatients with schizophrenia. In the discovery sample, the best combination to predict TRS at the discharge was the sum of three baseline PANSS items - conceptual disorganization (P2), difficulty in abstract thinking (N5), and unusual thought content (G9). The P2 + N5 + G9 model yielded an area under the curve (AUC) of 0.881, a sensitivity of 77.8%, and a specificity of 83.3%. In the outpatient sample, the model P2 + N5 + G9 predictive accuracy for TRS was only in the range of "acceptable" with an AUC of 0.756 and sensitivity of 72.3% and a specificity of 74.4%. Overall, the P2 + N5 + G9 model corresponds to the construct of formal thought disorder composed of disorganized thinking, concrete thinking, and bizarre-idiosyncratic thinking. Pronounced levels of these symptoms are easily identifiable in clinical practice and may be a feasible strategy in TRS. Replicating in first-episode cohorts is desirable to understand the likely clinical utility., Competing Interests: Declaration of competing interest Dr. Correll has been a consultant and/or advisor to or has received honoraria from: Alkermes, Allergan, Angelini, Gerson Lehrman Group, IntraCellular Therapies, Janssen/J&J, LB Pharma, Lundbeck, Medavante, Medscape, Merck, Neurocrine, Otsuka, Pfizer, ROVI, Servier, Sunovion, Takeda, and Teva. He has provided expert testimony for Bristol-Myers Squibb, Janssen, and Otsuka, and served on a Data Safety Monitoring Board for Lundbeck, ROVI, and Teva. He received royalties from UpToDate and grant support from Janssen and Takeda, and He is also a shareholder of LB Pharma. Dr. Bressan has received research grants from Janssen Cilag, Novartis, Roche, and the following government funding research agencies: CAPES, CNPq and FAPESP (2016/022465 and 2011/50740-5); he has been a forum consultant for Janssen, Novartis, and Roche and has participated in speaker bureaus for Ache, Janssen, Lundbeck, and Novartis. Dr. Gadelha has participated on advisory boards for Janssen-Cilag and Daiichi Sankyo and as a speaker for Janssen-Cilag and Aché. All other authors do not have any conflict of interest to report with regards to the topic of this manuscript., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Our previous studies showed reduced Ndel1 enzyme activity in patients with chronic schizophrenia (SCZ), and only a subtle NDEL1 mRNA increases in antipsychotic-naïve first-episode psychosis (FEP) individuals compared to matched healthy controls (HC). Aiming to refine the evaluation of Ndel1 enzyme activity in early stages of psychosis, we compared 3 groups composed by (1) subjects at ultra-high-risk (UHR) for psychosis, (2) a cohort comprising antipsychotic-naïve FEP individuals (assessed in three moments, at baseline (FEP-0), and after 2 months (FEP-2 M) and one year (FEP-1Y) of treatment with risperidone), and (3) a HC group. There was no significant difference in Ndel1 enzyme activity between UHR and HC, but this activity was significantly lower in FEP compared to HC. Conversely, Ndel1 activity in HC groups was higher than in FEP even before (FEP-0) or after the treatment with risperidone (FEP-2 M and FEP-1Y), and with progressive decrease of Ndel1 activity and significant improvement of symptoms observed after this treatment. In addition, a positive correlation was observed for Ndel1 activity with clinical symptoms as assessed by PANSS, while a negative correlation was seen for GAF scores. Our results suggest that reductions in Ndel1 activity in FEP may be possibly related to responses to the illness, rather than to the pharmacological effects of antipsychotics, which might be acting essentially in the symptoms suppression. This hypothesis might be further evaluated in prospective long-term follow-up studies with a larger sample cohort., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: Activated immune-inflammatory pathways play an important role in the pathophysiology of schizophrenia. Paraoxonase 1 (PON1) activity is inversely associated with inflammatory responses in numerous clinical conditions. The aims of this study were to delineate serum arylesterase PON1 activity in drug-naïve first episode psychosis (FEP) patients and a healthy control group, and to assess whether there are inverse relationships between PON1 activity and cytokine levels., Methods: A total of 51 drug-naïve FEP patients and 61 healthy controls were enrolled in this study. Levels of interleukin (IL)-4, IL-10, IL-6, tumor necrosis factor (TNF)-α and activity of PON1 were quantified., Results: Compared to healthy controls, FEP patients showed lower serum PON1 activity and higher levels of IL-4, IL-10 and TNF-α. A significant inverse relationship between PON1 activity and IL-4, IL-6 and IL-10 levels was detected, but not for TNF-α. Subjects with very low PON1 activity (25th quartile) presented significantly higher levels of IL-6, IL-10 and IL-4 than those with higher PON1 activity (75th quartile)., Conclusion: The present study provides evidence that FEP is characterized by an inverse relationship between lowered activity of the anti-inflammatory/antioxidant enzyme PON1 and increased cytokine levels, including IL-6, IL-4 and IL-10. It is hypothesized that lowered PON1 activity may play a role in the immune-inflammatory response that accompanies FEP and that increased cytokine levels may further modulate PON1 activity., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Schizophrenia is accompanied by alterations in immuno-inflammatory pathways, including abnormalities in cytokine profile. The immune assessment of patients in a first episode of psychosis (FEP) and particularly in drug naïve patients is very important to further elucidate this association. The objectives of this study are to delineate the cytokine profile (IL-2, IL-10, IL-4, IL-6, IFNγ, TNFα and IL-17) in FEP patients (n=55) versus healthy controls (n=57) and to examine whether the presence of depressive symptoms in FEP is accompanied by a specific cytokine profile. We found increased levels of IL-6, IL-10 and TNFα in FEP patients when compared to healthy controls. FEP patients with depression showed higher IL-4 and TNFα levels versus those without depression. Cytokine levels were not correlated to the total PANSS and the positive or negative subscale scores. Our results suggest that FEP is accompanied by a cytokine profile indicative of monocytic and T regulatory cell (Treg) activation. Depression in FEP is accompanied by monocytic and Th-2 activation, whereas FEP without depression is characterized by Treg activation only. In conclusion, depression emerged as a key component explaining the cytokines imbalance in FEP that is responsible for a large part of the immune-inflammatory abnormalities described., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Schizophrenia is a severe mental health disorder with high heritability. The investigation of individuals during their first-episode psychosis (FEP), before the progression of psychotic disorders and especially before treatment with antipsychotic medications, is particularly helpful for understanding this complex disease and for the identification of potential biomarkers. In this study, we compared the expression of genes that are involved in neurotransmission and neurodevelopment of antipsychotic-naive FEP in the peripheral blood of patients (n=51) and healthy controls (n=51). In addition, we investigated the differentially expressed genes with respect to a) DNA methylation, b) the correlation between gene expression and clinical variables (PANSS), and c) gene expression changes after risperidone treatment. Expression levels of 11 genes were quantified with SYBR Green. For methylation analysis, bisulfite sequencing was performed. A significant decrease in GCH1 mRNA levels was observed in FEP patients relative to controls. Also, when we compare the FEP patients after risperidone treatment with controls, this difference remains significant, and no significant differences were observed in GCH1 mRNA levels when comparing patients before and after risperidone treatment. Additionally, although the differences were non-significant after Bonferroni correction, the expression of GCH1 seemed to be correlated with PANSS scores, and the GCH1 promoter region was more methylated in FEP than in controls, thus corroborating the results obtained at the mRNA level. Few studies have been conducted on GCH1, and future studies are needed to clarify its potential role in the progression of schizophrenia., (Copyright © 2014 Elsevier B.V. All rights reserved.)