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

Background: Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method: A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results: Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion: We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry. © 2022 The AuthorsImmuno-Génétique, Inflammation, retro-Virus, Environnement : de l'étiopathogénie des troubles psychotiques aux modèles animauxRéseau d'Innovation sur les Voies de Signalisation en Sciences de la Vi

Cigarette smoking and schizophrenia: a specific clinical and therapeutic profile? Results from the FACE-Schizophrenia cohort

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Influence of Venus and Mars in the cognitive sky of schizophrenia. Results from the first-step national FACE-SZ cohort

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Overlap and Mutual Distinctions Between Clinical Recovery and Personal Recovery in People With Schizophrenia in a One-Year Study

International audienceRecovery is a multidimensional construct that can be defined either from a clinical perspective or from a consumer-focused one, as a self-broadening process aimed at living a meaningful life beyond mental illness. We aimed to longitudinally examine the overlap and mutual distinctions between clinical and personal recovery. Of 1239 people with schizophrenia consecutively recruited from the FondaMental Advanced Centers of Expertise for SZ network, the 507 present at one-year did not differ from those lost to follow-up. Clinical recovery was defined as the combination of clinical remission and functional remission. Personal recovery was defined as being in the rebuilding or in the growth stage of the Stages of Recovery Instrument (STORI). Full recovery was defined as the combination of clinical recovery and personal recovery. First, we examined the factors at baseline associated with each aspect of recovery. Then, we conducted multivariable models on the correlates of stable clinical recovery, stable personal recovery, and stable full recovery after one year. At baseline, clinical recovery and personal recovery were characterized by distinct patterns of outcome (i.e. better objective outcomes but no difference in subjective outcomes for clinical recovery, the opposite pattern for personal recovery, and better overall outcomes for full recovery). We found that clinical recovery and personal recovery predicted each other over time (baseline personal recovery for stable clinical recovery at one year; P = .026, OR = 4.94 [1.30-23.0]; baseline clinical recovery for stable personal recovery at one year; P = .016, OR = 3.64 [1.31-11.2]). In short, given the interaction but also the degree of difference between clinical recovery and personal recovery, psychosocial treatment should target, beyond clinical recovery, subjective aspects such as personal recovery and depression to reach full recovery

Predictors of rapid high weight gain in schizophrenia: Longitudinal analysis of the French FACE-SZ cohort

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A multi-dimensional approach to the relationship between insight and aggressiveness in schizophrenia: Findings from the FACE-SZ cohort

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A multi-dimensional approach to the relationship between insight and aggressiveness in schizophrenia: Findings from the FACE-SZ cohort

International audienceBackground: Aggressiveness is a stigma frequently associated with schizophrenia. The role of insight as a risk factor of aggressiveness remains contradictory; mainly because single measures of these states mask their complexity and heterogeneity.Methods: This study was conducted on 666 patients aged 15 and above with a DSM-IV-TR diagnosis of schizophrenia spectrum disorder, drawn from the French national network of schizophrenia expert center database. Collected data comprised socio-demographics and standardized psychiatric assessments. Aggressiveness was evaluated using the Buss-Perry Aggression Questionnaire and insight using the Scale to assess Unawareness of Mental Disorder (SUMD) and Birchwood Insight Scale (BIS).Results: Hostility was the aggressiveness dimension the most strongly associated with SUMD insight dimensions. Patients aware of their illness were nearly twice as likely to show hostility than those seriously unaware (OR = 1.95, 95% CI.: 1.08-3.5), but not when further adjusting for depression. Similarly, those aware of the consequences of their illness and of their symptoms were more hostile. Patients moderately aware of illness consequences had a higher risk of both anger and physical aggressiveness than those unaware (OR = 2.63, 95% CI.: 1.42-4.86, OR = 2.47, 95% CI.: 1.33-4.60, respectively), even when adjusting for depression for anger.Conclusion: Our study confirms that a multi-dimensional approach to insight and aggressiveness is essential to understand the types of links between these clinical states. Insight may trigger the expression of an underlying hostile tendency, maybe via depression and self-stigmatisation. This should be taken into account in therapeutic approaches to improve insight

Centres Experts Schizophrénie, un outil pour le soin et la recherche : retour sur 10 ans d’expérience

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Relationship between childhood trauma and level of insight in schizophrenia: A path-analysis in the national FACE-SZ dataset

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