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Postmortem cadaveric changes are commonly used to estimate the postmortem interval (PMI) in humans and animals. However, these modifications have been poorly investigated in animals of interest to veterinary forensic pathology. The aim of this study was to investigate the potential use of muscle proteins (desmin and dystrophin) as biomarkers for estimating the PMI in dogs. For this study, 10 dead adult dogs were evaluated for 4 days in a temperature-controlled room at 19 ± 1 °C. For each animal, at 3, 24, 48, 72, and 96 h after death, a 1 × 1 × 1 cm cube of muscle tissue was removed from the vastus lateralis and triceps brachii. Protein expression levels were analyzed by immunohistochemical examination and immunoblot analysis. The obtained results showed rapid dystrophin degradation, with complete disappearance at 72 h after death. In contrast, desmin-positive fibers and desmin protein bands detected by immunoblot were observed on all 4 days of observation. Our findings suggest the potential use of muscle proteins as biomarkers for estimating the PMI in dogs.

Objectives People with schizophrenia (SCZ) present serious and generalised deficits in social cognition (SC), which affect negatively patients' functioning and treatment outcomes. The genetic background of SC has been investigated in disorders other than SCZ providing weak and sparse results. Thus, our aim was to explore possible genetic correlates of SC dysfunctions in SCZ patients with a genome-wide study (GWAS) approach. Methods We performed a GWAS meta-analysis of data coming from two cohorts made of 242 and 160 SCZ patients, respectively. SC was assessed with different tools in order to cover its different domains. Results We found GWAS significant association between the TMEM74 gene and the patients' ability in social inference as assessed by The Awareness of Social Inference Test; this association was confirmed by both SNP-based analysis (lead SNP rs3019332 p-value = 5.24 × 10-9) and gene-based analysis (p-value = 1.09 × 10-7). Moreover, suggestive associations of other genes with different dimensions of SC were also found. Conclusions Our study shows for the first time GWAS significant or suggestive associations of some gene variants with SC domains in people with SCZ. These findings should stimulate further studies to characterise the genetic underpinning of SC dysfunctions in SCZ.

Objective: Earlier evidence suggested that structural–functional covariation in schizophrenia patients (SCZ) is associated with cognition, a predictor of functioning. Moreover, studies suggested that functional brain abnormalities of schizophrenia may be related with structural network features. However, only few studies have investigated the relationship between structural–functional covariation and both diagnosis and functioning in SCZ. We hypothesized that structural–functional covariation networks associated with diagnosis are related to real-world functioning in SCZ. Methods: We performed joint Independent Component Analysis on T1 images and resting-state fMRI-based Degree Centrality (DC) maps from 89 SCZ and 285 controls. Structural-functional covariation networks in which we found a main effect of diagnosis underwent correlation analysis to investigate their relationship with functioning. Covariation networks showing a significant association with both diagnosis and functioning underwent univariate analysis to better characterize group-level differences at the spatial level. Results: A structural–functional covariation network characterized by frontal, temporal, parietal and thalamic structural estimates significantly covaried with temporo-parietal resting-state DC. Compared with controls, SCZ had reduced structural–functional covariation within this network (pFDR = 0.005). The same measure correlated positively with both social and occupational functioning (both pFDR = 0.042). Univariate analyses revealed grey matter deviations in SCZ compared with controls within this structural–functional network in hippocampus, cerebellum, thalamus, orbito-frontal cortex, and insula. No group differences were found in DC. Conclusions: Findings support the existence of a phenotypical association between group-level differences and inter-individual heterogeneity of functional deficits in SCZ. Given that only the joint structural/functional analysis revealed this association, structural–functional covariation may be a potentially relevant schizophrenia phenotype.

Background Autism spectrum disorders (ASDs) and schizophrenia spectrum disorders (SSDs), although conceptualized as separate entities, may share some clinical and neurobiological features. ASD symptoms may have a relevant role in determining a more severe clinical presentation of schizophrenic disorder but their relationships with cognitive aspects and functional outcomes of the disease remain to be addressed in large samples of individuals. Aims To investigate the clinical, cognitive, and functional correlates of ASD symptoms in a large sample of people diagnosed with schizophrenia. Methods The severity of ASD symptoms was measured with the PANSS Autism Severity Scale (PAUSS) in 921 individuals recruited for the Italian Network for Research on Psychoses multicenter study. Based on the PAUSS scores, three groups of subjects were compared on a wide array of cognitive and functional measures. Results Subjects with more severe ASD symptoms showed a poorer performance in the processing speed (p = 0.010), attention (p = 0.011), verbal memory (p = 0.035), and social cognition (p = 0.001) domains, and an overall lower global cognitive composite score (p = 0.010). Subjects with more severe ASD symptoms also showed poorer functional capacity (p = 0.004), real-world interpersonal relationships (p p Conclusions These findings strengthen the notion that ASD symptoms may have a relevant impact on different aspects of the disease, crucial to the life of people with schizophrenia. Prominent ASD symptoms may characterize a specific subpopulation of individuals with SSD.

Importance: The goal of schizophrenia treatment has shifted from symptom reduction and relapse prevention to functional recovery; however, recovery rates remain low. Prospective identification of variables associated with real-life functioning domains is essential for personalized and integrated treatment programs. Objective: To assess whether baseline illness-related variables, personal resources, and context-related factors are associated with work skills, interpersonal relationships, and everyday life skills at 4-year follow-up. Design, Setting, and Participants: This multicenter prospective cohort study was conducted across 24 Italian university psychiatric clinics or mental health departments in which 921 patients enrolled in a cross-sectional study were contacted after 4 years for reassessment. Recruitment of community-dwelling, clinically stable persons with schizophrenia was conducted from March 2016 to December 2017, and data were analyzed from January to May 2020. Main Outcomes and Measures: Psychopathology, social and nonsocial cognition, functional capacity, personal resources, and context-related factors were assessed, with real-life functioning as the main outcome. Structural equation modeling, multiple regression analyses, and latent change score modeling were used to identify variables that were associated with real-life functioning domains at follow-up and with changes from baseline in these domains. Results: In total, 618 participants (427 male [69.1%]; mean [SD] age, 45.1 [10.5] years) were included. Five baseline variables were directly associated with real-life functioning at follow-up: neurocognition with everyday life (β, 0.274; 95% CI, 0.207-0.341; P

First generation antipsychotics (FGAs) are more likely to induce extrapyramidal side-effects (EPS) than second generation antipsychotics (SGAs), and EPS have been shown associated to cognitive deficits in schizophrenia. So far, no study has explored the relationships between EPS and social cognition (SC) in people with schizophrenia. Therefore, we assessed the prevalence of EPS in a large sample of drug-treated community-dwelling persons with schizophrenia and explored their relationships with patients' neurocognitive and SC abilities. 875 patients underwent EPS, psychopathological, neurocognitive and SC assessments by means of standardized measures. Relationships between EPS, psychopathology and neurocognitive and SC measures were investigated by correlation tests. Moreover, a partial correlation network was computed by means of a network analysis. 256 patients were treated with FGAs alone or in combination with SGA and 619 with SGAs. EPS were significantly more frequent in FGA-treated group than in the SGA-treated one. Patients with EPS disclosed a more severe psychopathology and were more impaired in neurocognitive and SC measures compared to those without EPS. Disorganization, expressive deficit, and duration of illness were significantly associated to both neurocognitive and SC measures while EPS were associated to neurocognitive measures only. The network analysis showed that parkinsonism was the sole EPS directly connected to both psychopathological and neurocognitive indices whereas no direct connection emerged between EPS and SC measures. Present findings confirm that EPS are still present in the era of SGAs and contribute, together with other clinical variables, to the neurocognitive but not to the SC impairment of patients with schizophrenia.

Background. Greater levels of insight may be linked with depressive symptoms among patients with schizophrenia, however, it would be useful to characterize this association at symptom-level, in order to inform research on interventions. Methods. Data on depressive symptoms (Calgary Depression Scale for Schizophrenia) and insight (G12 item from the Positive and Negative Syndrome Scale) were obtained from 921 community-dwelling, clinically-stable individuals with a DSM-IV diagnosis of schizophrenia, recruited in a nationwide multicenter study. Network analysis was used to explore the most relevant connections between insight and depressive symptoms, including potential confounders in the model (neurocognitive and social-cognitive functioning, positive, negative and disorganization symptoms, extrapyramidal symptoms, hostility, internalized stigma, and perceived discrimination). Bayesian network analysis was used to estimate a directed acyclic graph (DAG) while investigating the most likely direction of the putative causal association between insight and depression. Results. After adjusting for confounders, better levels of insight were associated with greater self-depreciation, pathological guilt, morning depression and suicidal ideation. No difference in global network structure was detected for socioeconomic status, service engagement or illness severity. The DAG confirmed the presence of an association between greater insight and self-depreciation, suggesting the more probable causal direction was from insight to depressive symptoms. Conclusions. In schizophrenia, better levels of insight may cause self-depreciation and, possibly, other depressive symptoms. Person-centered and narrative psychotherapeutic approaches may be particularly fit to improve patient insight without dampening self-esteem., Highlights Better insight seems associated with depressive symptoms in schizophrenia.Network analyses were used to explore this association in a large sample.Insight was associated with self-depreciation, guilt, and suicidal ideation.Although cross-sectional, data suggest causal direction from insight to depression.

BackgroundThe increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relative–control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS). We examined familial aggregation of cognitive impairment by investigating within-family prediction of MCCB scores based on probands’ scores.MethodsMultivariate analysis of variance was used to analyze group differences in adjusted MCCB scores. Weighted least-squares analysis was used to investigate whether probands’ MCCB scores predicted REL neurocognitive performance.ResultsSCZ were significantly impaired on all MCCB domains. REL had intermediate scores between SCZ and HCS, showing a similar pattern of impairment, except for social cognition. Proband's scores significantly predicted REL MCCB scores on all domains except for visual learning.ConclusionsIn a large sample of stable patients with schizophrenia, living in the community, and in their unaffected relatives, MCCB demonstrated sensitivity to cognitive deficits in both groups. Our findings of significant within-family prediction of MCCB scores might reflect disease-related genetic or environmental factors.

In subjects with schizophrenia (SCZ), the disorganization dimension is a strong predictor of real-life functioning. "Conceptual disorganization" (P2), "Difficulty in abstract thinking" (N5) and "Poor attention" (G11) are core features of the disorganization factor, evaluated using the Positive and Negative Syndrome Scale. The heterogeneity of this dimension and its overlap with neurocognitive deficits are still debated. Within the multicenter study of the Italian Network for Research on Psychoses, we investigated electrophysiological and neurocognitive correlates of disorganization and its component items to assess the heterogeneity of this dimension and its possible overlap with neurocognitive deficits. Resting state EEG was recorded in 145 stabilized SCZ and 69 matched healthy controls (HC). Spectral amplitude was averaged in ten frequency bands. Neurocognitive domains were assessed by MATRICS Consensus Cognitive Battery (MCCB). RAndomization Graphical User software explored band spectral amplitude differences between groups and correlations with disorganization and MCCB scores in SCZ. Correlations between disorganization and MCCB scores were also investigated. Compared to HC, SCZ showed increased delta, theta, and beta 1 and decreased alpha 2 activity. A negative correlation between alpha 1 and disorganization was observed in SCZ. At the item level, only "N5" showed the same correlation. MCCB neurocognitive composite score was associated with disorganization, "P2" and "N5". Our findings suggest only a partial overlap between disorganization and neurocognitive impairment. The association of alpha 1 with the "N5" item suggests that some aspects of disorganization could be underpinned by the impairment of basic neurobiological functions that are only partially evaluated using MCCB.

Donkeys and horses usually share similar respiratory problems. Nevertheless, donkeys developed some anatomical differences with horses mainly related to upper airways [1] allowing to reduce their susceptibility to respiratory distresses as well as clinical signs severity [2]. For early diagnosis, the bronchoalveolar lavage (BAL) could represent an useful diagnostic procedure although the technique was never described before in these animals. The goals of the present investigation were to describe for the first time BAL procedures in healthy donkeys and to evaluate the related clinical findings. Nine, healthy, large size, female donkeys, with means (±SD) body weight of 338±61kg, wither height of 135.8±6.6cm and thoracic girth of 150.7±10.2cm were enrolled. All of them were submitted to complete clinical examinations (with particular focus on the cardio-respiratory system) and video-endoscopy. After sedation, based on acepromazine maleate 1% (0.025mg/kg IV) and Xylazine hydrochloride 20% (0.8 mg/kg IV), BAL was performed using the “blind technique” and an administration of 120 ml of Ringer lactate at 37°C. At the end of the procedure, the fluid collected was submitted for macroscopic and microscopic evaluation and differential cells count [3]. Blood and parasitological analysis were also performed. BAL was easily performed in all the subjects. Several epithelial cells (ciliated cells of various type and goblet cells, ranged: 11.2 33%; means±SD: 49.55±14.48), some macrophages (21- 46.50%; 71.66±16.31), few neutrophils (0.5-23.5%; 19.33±18.78), rare lymphocytes (12-47%, 55,44±15,54), and very rare eosinophils (0-5.25%, 4±3,9) were detected. The technique required analogous level of animal handling reported for horses and no obvious difficulties have been observed. Nevertheless, because of the anatomical differences of the upper airways between the two species [1,4], a good extension of the head (until to create a straight line with the spine) has been necessary both to facilitate the procedure and to use catheters usually employed for horses otherwise too long for donkeys. Blood investigations revealed normal values in all the subjects while coprological examination were positive for gastrointestinal strongyles in all them, although no larvae in the alveolar bronchial fluid were detected. BAL’s samples allowed to perform a differential count of the cells present in the lower airways of the animals. The means cellular values observed in healthy donkey were significant different from those one described for healthy horses [3]. The difference observed may be related to different specie-specific inflammatory response mechanisms between the two species although further investigation are warranted to confirm this hypothesis.

Rationale Variables influencing real-life functioning have repeatedly been modeled in schizophrenia subjects but not systematically investigated in their unaffected first-degree relatives (SRs), in whom milder forms of deficits reported in schizophrenia have been observed, but confounders of clinical cohorts are not in play. Demonstrating that pathways to functional outcome are similar between patients and SRs would validate structural models developed in schizophrenia subjects. The present multicenter study aimed to explore whether variables associated with real-life functioning are similar in schizophrenia patients and their unaffected relatives. Methods The study sample included 921 schizophrenia patients, 379 SRs and 780 healthy controls. Structural Equation Models (SEMs) were used in patients and SRs to test associations of psychopathological dimensions, neurocognition, social cognition, resilience, perceived stigma and functional capacity with real-life functioning domains, impaired in both patients and SRs. Results Interpersonal Relationships and Work Skills were the only functional domains impaired in both patients and SRs. For both domains, functional impairment in patients was found to predict impairment in unaffected relatives, suggesting the involvement of similar illness-related vulnerability factors. In both groups variables significantly associated with Interpersonal Relationships included Social Cognition, Neurocognition, Avolition, Resilience, Disorganization, Perceived Stigma and Gender, and those significantly associated with Work Skills included Social Cognition, Neurocognition and Disorganization. Conclusions Pathways to functional outcome for Interpersonal relationships and Work skills are similar between schizophrenia patients and their unaffected first-degree relatives. These findings validate, in the absence of confounders of clinical cohorts, structural models of determinants of functional outcome in people with schizophrenia.

In people suffering from schizophrenia, major areas of everyday life are impaired, including independent living, productive activities and social relationships. Enhanced understanding of factors that hinder real-life functioning is vital for treatments to translate into more positive outcomes. The goal of the present study was to identify predictors of real-life functioning in people with schizophrenia, and to assess their relative contribution. Based on previous literature and clinical experience, several factors were selected and grouped into three categories: illness-related variables, personal resources and context-related factors. Some of these variables were never investigated before in relationship with real-life functioning. In 921 patients with schizophrenia living in the community, we found that variables relevant to the disease, personal resources and social context explain 53.8% of real-life functioning variance in a structural equation model. Neurocognition exhibited the strongest, though indirect, association with real-life functioning. Positive symptoms and disorganization, as well as avolition, proved to have significant direct and indirect effects, while depression had no significant association and poor emotional expression was only indirectly and weakly related to real-life functioning. Availability of a disability pension and access to social and family incentives also showed a significant direct association with functioning. Social cognition, functional capacity, resilience, internalized stigma and engagement with mental health services served as mediators. The observed complex associations among investigated predictors, mediators and real-life functioning strongly suggest that integrated and personalized programs should be provided as standard treatment to people with schizophrenia. In people suffering from schizophrenia, major areas of everyday life are impaired, including independent living, productive activities and social relationships. Enhanced understanding of factors that hinder real-life functioning is vital for treatments to translate into more positive outcomes. The goal of the present study was to identify predictors of real-life functioning in people with schizophrenia, and to assess their relative contribution. Based on previous literature and clinical experience, several factors were selected and grouped into three categories: illness-related variables, personal resources and context-related factors. Some of these variables were never investigated before in relationship with real-life functioning. In 921 patients with schizophrenia living in the community, we found that variables relevant to the disease, personal resources and social context explain 53.8% of real-life functioning variance in a structural equation model. Neurocognition exhibited the strongest, though indirect, association with real-life functioning. Positive symptoms and disorganization, as well as avolition, proved to have significant direct and indirect effects, while depression had no significant association and poor emotional expression was only indirectly and weakly related to real-life functioning. Availability of a disability pension and access to social and family incentives also showed a significant direct association with functioning. Social cognition, functional capacity, resilience, internalized stigma and engagement with mental health services served as mediators. The observed complex associations among investigated predictors, mediators and real-life functioning strongly suggest that integrated and personalized programs should be provided as standard treatment to people with schizophrenia.

Background The study aimed to assess the construct validity, internal consistency and factor structure of the Specific Levels of Functioning Scale (SLOF), a multidimensional instrument assessing real life functioning. Methods The study was carried out in 895 Italian people with schizophrenia, all living in the community and attending the outpatient units of 26 university psychiatric clinics and/or community mental health departments. The construct validity of the SLOF was analyzed by means of the multitrait–multimethod approach, using the Personal and Social Performance (PSP) Scale as the gold standard. The factor structure of the SLOF was examined using both an exploratory principal component analysis and a confirmatory factor analysis. Results The six factors identified using exploratory principal component analysis explained 57.1% of the item variance. The examination of the multitrait–multimethod matrix revealed that the SLOF factors had high correlations with PSP factors measuring the same constructs and low correlations with PSP factors measuring different constructs. The confirmatory factor analysis (CFA) corroborated the 6-factor structure reported in the original validation study. Loadings were all significant and ranged from a minimum of 0.299 to a maximum of 0.803. The CFA model was adequately powered and had satisfactory goodness of fit indices (comparative fit index = 0.927, Tucker–Lewis index = 0.920 and root mean square error of approximation = 0.047, 95% CI 0.045–0.049). Conclusion The present study confirms, in a large sample of Italian people with schizophrenia living in the community, that the SLOF is a reliable and valid instrument for the assessment of social functioning. It has good construct validity and internal consistency, and a well-defined factor structure.

An impairment of functional capacity and real-life functioning has widely been reported in patients with schizophrenia, even when clinical remission has been achieved. The relative contribution of negative symptoms and neurocognitive deficits to such an impairment is still debated. In the present study, we investigated the relationships of functional capacity and real-life functioning with psychopathology and cognitive deficits in 35 schizophrenia patients, all treated with new-generation antipsychotics. The MATRICS Cognitive Consensus Battery was used to assess cognitive functions. Real-life functioning was evaluated with the Quality of Life Scale (QLS). Functional capacity was assessed with the Performance-Based Skills Assessment-Brief (UPSA-B). Psychopathological dimensions were calculated from PANSS items. Multiple Regression Analyses (MRA) were conducted, in which dependent variables were the indices of functional capacity/real life functioning while independent variables were psychopathological dimensions, neurocognitive indices, general abilities and education. The results of MRA on the QLS indices showed the following percentages of variance explained: negative psychopathological dimension, 64% for “intrapsychic functions” and 46% for “interpersonal relationships”; speed of processing, 13% for “work functioning” and 11% for “interpersonal relationships”; visual learning, 12% for “work functioning”; positive psychopathological dimension, 11% for “intrapsychic functions” and 5% for “interpersonal relationships”; working memory, 7% for “intrapsychic functions”. As to the MRA on UPSA-B total score, working memory explained 57% of the variance while speed of processing explained 12% of it. Our findings suggest that both negative symptoms and cognitive impairment have a strong relationship with real-life functioning while cognitive impairment is the only aspect associated to functional capacity.