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Schizophrenia has been shown repeatedly to be associated with a low level of psychosocial functioning. It is assumable that psychosocial functioning is related not only to current, but also to future symptom severity. To test this assumption, a follow-up study with two measurement time points with an interval of 18 months was conducted. In total, 154 inpatients from five psychiatric hospitals with a diagnosis of a schizophrenic disorder took part at both visits. Psychosocial functioning was measured with the Personal and Social Performance Scale (PSP scale) at baseline, and schizophrenic symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS) at baseline and at follow-up. Two PSP subscales, i.e. socially useful activities and control over disturbing and aggressive behavior, turned out to be significant predictors of symptom severity 18 months later. The findings reveal that personal resources in the occupational domain and in adequate interpersonal behavior can have a positive impact on the long-term course of schizophrenia.

BackgroundThe aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia.MethodsTwenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects.ResultsThere was a 3-year later age at onset for females (P P P P = .001). No significant effects were found concerning duration of illness.DiscussionOur results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

As early detection of symptoms in the subclinical to clinical psychosis spectrum may improve health outcomes, knowing the probabilistic susceptibility of developing a disorder could guide mitigation measures and clinical intervention. In this context, polygenic risk scores (PRSs) quantifying the additive effects of multiple common genetic variants hold the potential to predict complex diseases and index severity gradients. PRSs for schizophrenia (SZ) and bipolar disorder (BD) were computed using Bayesian regression and continuous shrinkage priors based on the latest SZ and BD genome-wide association studies (Psychiatric Genomics Consortium, third release). Eight well-phenotyped groups (n = 1580; 56% males) were assessed: control (n = 305), lower (n = 117) and higher (n = 113) schizotypy (both groups of healthy individuals), at-risk for psychosis (n = 120), BD type-I (n = 359), BD type-II (n = 96), schizoaffective disorder (n = 86), and SZ groups (n = 384). PRS differences were investigated for binary traits and the quantitative Positive and Negative Syndrome Scale. Both BD-PRS and SZ-PRS significantly differentiated controls from at-risk and clinical groups (Nagelkerke’s pseudo-R2: 1.3–7.7%), except for BD type-II for SZ-PRS. Out of 28 pairwise comparisons for SZ-PRS and BD-PRS, 9 and 12, respectively, reached the Bonferroni-corrected significance. BD-PRS differed between control and at-risk groups, but not between at-risk and BD type-I groups. There was no difference between controls and schizotypy. SZ-PRSs, but not BD-PRSs, were positively associated with transdiagnostic symptomology. Overall, PRSs support the continuum model across the psychosis spectrum at the genomic level with possible irregularities for schizotypy. The at-risk state demands heightened clinical attention and research addressing symptom course specifiers. Continued efforts are needed to refine the diagnostic and prognostic accuracy of PRSs in mental healthcare.

In recent times, an increasing interest in the role of childhood adversities in schizophrenia can be seen. In this study, 37 schizophrenic patients were compared with 25 individuals from the general population with regard to the quality of parental care and traumatic experiences in childhood. Two self-report scales for retrospective measurement of these variables were used that differentiate between maternal and paternal rejection, emotional warmth and control on the one hand, and trauma subtypes on the other. The schizophrenic patients scored lower regarding both parents' emotional warmth and higher regarding emotional and physical abuse and neglect. Group membership was correctly predicted with these childhood variables in 83% of cases, with the mother's emotional warmth being the best predictor. The findings underline the relevance of childhood adversities in schizophrenic diseases in adulthood, with special emphasis on the role of emotional acceptance from the primary caregiver.

BackgroundThe aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model.MethodsTwenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed.ResultsThe results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage.ConclusionsThe current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct “cores” of schizophrenia, the “Positive” and the “Negative,” while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.

IMPORTANCE: Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations. OBJECTIVE: To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement. DESIGN, SETTING, AND PARTICIPANTS: This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, and prospective validation data were extracted in October 2018 and analyzed from January to May 2019. MAIN OUTCOMES AND MEASURES: A clinical battery of 188 variables measuring demographic characteristics, clinical history, symptoms, functioning, and cognition was decomposed using nonnegative matrix factorization clustering. Subtype-specific illness courses were compared with mixed models and polygenic scores with analysis of covariance. Supervised learning was used to replicate results in validation data with the most reliably discriminative 45 variables. RESULTS: Of the 765 individuals in the discovery sample, 341 (44.6%) were women, and the mean (SD) age was 42.7 (12.9) years. Five subgroups were found and labeled as affective psychosis (n = 252), suicidal psychosis (n = 44), depressive psychosis (n = 131), high-functioning psychosis (n = 252), and severe psychosis (n = 86). Illness courses with significant quadratic interaction terms were found for psychosis symptoms (R(2) = 0.41; 95% CI, 0.38-0.44), depression symptoms (R(2) = 0.28; 95% CI, 0.25-0.32), global functioning (R(2) = 0.16; 95% CI, 0.14-0.20), and quality of life (R(2) = 0.20; 95% CI, 0.17-0.23). The depressive and severe psychosis subgroups exhibited the lowest functioning and quadratic illness courses with partial recovery followed by reoccurrence of severe illness. Differences were found for educational attainment polygenic scores (mean [SD] partial η(2) = 0.014 [0.003]) but not for diagnostic polygenic risk. Results were largely replicated in the validation cohort. CONCLUSIONS AND RELEVANCE: Psychosis subgroups were detected with distinctive clinical signatures and illness courses and specificity for a nondiagnostic genetic marker. New data-driven clinical approaches are important for future psychosis taxonomies. The findings suggest a need to consider short-term to medium-term service provision to restore functioning in patients stratified into the depressive and severe psychosis subgroups.

In current diagnostic systems, schizophrenia and bipolar disorder are still conceptualized as distinct categorical entities. Recently, both clinical and genomic evidence have challenged this Kraepelinian dichotomy. There are only few longitudinal studies addressing potential overlaps between these conditions. Here, we present design and first results of the PsyCourse study (N = 891 individuals at baseline), an ongoing transdiagnostic study of the affective-to-psychotic continuum that combines longitudinal deep phenotyping and dimensional assessment of psychopathology with an extensive collection of biomaterial. To provide an initial characterization of the PsyCourse study sample, we compare two broad diagnostic groups defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) classification system, that is, predominantly affective (n = 367 individuals) versus predominantly psychotic disorders (n = 524 individuals). Depressive, manic, and psychotic symptoms as well as global functioning over time were contrasted using linear mixed models. Furthermore, we explored the effects of polygenic risk scores for schizophrenia on diagnostic group membership and addressed their effects on nonparticipation in follow-up visits. While phenotypic results confirmed expected differences in current psychotic symptoms and global functioning, both manic and depressive symptoms did not vary between both groups after correction for multiple testing. Polygenic risk scores for schizophrenia significantly explained part of the variability of diagnostic group. The PsyCourse study presents a unique resource to research the complex relationships of psychopathology and biology in severe mental disorders not confined to traditional diagnostic boundaries and is open for collaborations.

M.B. is supported by a NHMRC Senior Principal Research Fellowship (APP1059660 and APP1156072). All authors contributed equally., Fountoulakis, K.N., Dragioti, E., Theofilidis, A.T., Wikilund, T., Atmatzidis, X., Nimatoudis, I., Thys, E., Wampers, M., Hranov, L., Hristova, T., Aptalidis, D., Milev, R., Iftene, F., Spaniel, F., Knytl, P., Furstova, P., From, T., Karlsson, H., Walta, M., Salokangas, R.K.R., Azorin, J.-M., Bouniard, J., Montant, J., Juckel, G., Haussleiter, I.S., Douzenis, A., Michopoulos, I., Ferentinos, P., Smyrnis, N., Mantonakis, L., Nemes, Z., Gonda, X., Vajda, D., Juhasz, A., Shrivastava, A., Waddington, J., Pompili, M., Comparelli, A., Corigliano, V., Rancans, E., Navickas, A., Hilbig, J., Bukelskis, L., Injac Stevovic, L., Vodopic, S., Esan, O., Oladele, O., Osunbote, C., Rybakowski, J.Κ., Wojciak, P., Domowicz, K., Figueira, M.L., Linhares, L., Crawford, J., Panfil, A.-L., Smirnova, D., Izmailova, O., Lecic-Tosevski, D., Temmingh, H., Howells, F., Bobes, J., Garcia-Portilla, M.P., García-Alvarez, L., Erzin, G., Karadaǧ, H., De Sousa, A., Bendre, A., Hoschl, C., Bredicean, C., Papava, I., Vukovic, O., Pejuskovic, B., Russell, V., Athanasiadis, L., Konsta, A., Stein, D., Berk, M., Dean, O., Tandon, R., Kasper, S., De Hert, M.

In current diagnostic systems, schizophrenia and bipolar disorder are still conceptualized as distinct categorical entities. Recently, both clinical and genetic evidence have challenged this Kraepelinian dichotomy. There are only few longitudinal studies addressing the potential overlaps between these conditions. Here, we present design and first results of the PsyCourse study, an ongoing transdiagnostic study of the affective-to-psychotic continuum that combines longitudinal deep phenotyping and dimensional assessment of psychopathology with an extensive collection of biomaterial. Within the DSM-IV framework, we compare two broad diagnostic groups: one consisting of predominantly affective and one of predominantly psychotic disorders. Depressive, manic, and psychotic symptoms as well as global functioning over time were analyzed. Furthermore, we explore the effects of polygenic risk scores for schizophrenia on diagnostic group membership and address their effects on non-participation in follow-up visits. While phenotypic results show differences in both current psychotic and manic symptoms, depressive symptoms did not vary between both groups. Polygenic risk scores for schizophrenia significantly explained part of the variability of the diagnostic group. Furthermore, there was a trend that a higher polygenic loading for schizophrenia was associated with attrition. Because of its unique properties, the PsyCourse study presents a prime resource for the interrogation of complex genotype-phenotype relationships.

This study evaluated involuntarily admitted psychiatric patients' and their perception of coercive measures (i. e. involuntary admission and physical or pharmacological restraint) by asking retrospectively which emotions were induced during the process of coercion.Interviews were carried out around 3 weeks after coercion. The interview consisted of 31 items categorized into demographic, nosological and coercion-related themes. Patients were also asked about their subjective experiences of the coercion. 40 patients were recruited, with 72 % suffering from psychosis-related and 21 % with affective disorders. For 22.5 % of the patients, this was their first psychiatric hospitalization. The most frequently reported emotions were rage, anger and despair. Patients who were more stable, according to the Clinical Global Impressions scale (CGI), generally evaluated the coercion as being worse.More than half of the patients were satisfied with the treatment received during hospitalization. The potential suffering caused as a result of patients' perceptions of the coercion, and the impact of this on the course of the disease should be taken into account when developing new treatment strategies.

Several lines of experimental and clinical evidence point to a close relationship between cannabis, the endogenous cannabinoid system, and schizophrenia. A variety of animal and human studies found a dysregulation of endocannabinoid signalling in psychosis. Elevated anandamide levels in schizophrenia patients that are negatively correlated with psychotic symptomatology indicate a protective role, whereas 2-arachidonoylglycerol appears to counteract psychosis-related cognitive impairments. Thus, pharmacological manipulation of the endogenous cannabinoid system might be associated with potential antipsychotic properties. In the present systematic review, both preclinical studies using different animal models of psychosis as well as clinical trials investigating the antipsychotic effects of both cannabidiol and rimonabant are presented together with the possible underlying mechanisms of action. The results predominantly confirm the hypothesis of an antipsychotic activity of both cannabinoids. In comparison, cannabidiol appears to be superior to rimonabant with a pharmacological profile similar to atypical antipsychotic drugs.

Objective Social cognitive disabilities are a common feature in schizophrenia. Given the role of glutamatergic neurotransmission in schizophrenia-related cognitive impairments, we investigated the effects of the glutamatergic NMDA receptor antagonist ketamine on facial emotion recognition. Methods Eighteen healthy male subjects were tested on two occasions, one without medication and one after administration with subanesthetic doses of intravenous ketamine. Emotion recognition was examined using the Ekman 60 Faces Test. In addition, attention was measured by the Continuous Performance Test (CPT), and psychopathology was rated using the Psychotomimetic States Inventory (PSI). Results Ketamine produced a non-significant deterioration of global emotion recognition abilities. Specifically, the ability to correctly identify the facial expression of sadness was significantly reduced in the ketamine condition. These results were independent of psychotic symptoms and selective attention. Conclusion Our results point to the involvement of the glutamatergic system in the ability to recognize facial emotions.

Preclinical and clinical research suggests that the endogenous cannabinoid system is involved in cognitive impairments related to schizophrenia. In particular, the deficient generation of mismatch negativity (MMN) indicating auditory sensory memory is a characteristic finding in schizophrenic patients. Experimental studies implicate deficient N-methyl-D: -aspartate (NMDA) receptor functioning in such abnormalities.The primary aim of this study was to investigate the effects of the cannabinoid CB(1) receptor antagonist rimonabant on MMN deficits in the NMDA receptor antagonist model of schizophrenia by using ketamine.Twenty-four healthy male subjects participated in a randomized, double-blind, placebo-controlled cross-over study with subanesthetic doses of intravenous ketamine. The MMNs to frequency and duration deviants were elicited within an auditory oddball paradigm and recorded by a 32-channel EEG. Psychopathology was assessed using the Psychotomimetic States Inventory.Twenty subjects completed both experimental sessions. Ketamine infusion had no significant effect on MMN amplitudes in both deviance conditions. In contrast to placebo, co-administration of rimonabant produced significant deficits in MMN amplitudes to duration deviants at electrode position Fz.The results point to the involvement of the endogenous cannabinoid system in auditory sensory memory as a cognitive key feature in schizophrenia. They particularly suggest that CB(1) receptor antagonism may impair cognitive performance by a disturbed interaction between endocannabinergic activity and glutamatergic neurotransmission implied in schizophrenia.

Background In the last couple of years, schizophrenia was often discussed as autoimmune disease. Several antibodies were suspected, but so far there has been no proof of Gamma-aminobutyric acid (GABA) receptor antibodies in patients with schizophrenia. Case presentation In this case report we present a 21-year old woman with schizophrenic symptoms, who showed anti-GABAB1 antibodies when screened by a vast recombinant neurology mosaic on Human Embryonic Kidney Cells 293 (HEK293) cells. The young woman presented with various psychotic symptoms as well as speech and motor ataxia, with the neurological signs starting in childhood. Conclusion A hypofunction of the GABAergic system is a possible cause of severe schizophrenic symptoms. Postmortem studies proved this hypothesis by showing dysfunctional GABAergic interneurons in various brain areas. Therefore one should always think of an immune-mediated pathogenesis as well memory impairment and behavioral changes co-occur with frequent seizures.