Family functioning and personal growth in Italian caregivers living with a family member affected by schizophrenia: Results of an add-on study of the Italian network for research on psychoses

To date, the role of family members in caring for relatives affected by schizophrenia has focused largely on the negative aspects of impact of the illness. The present study aimed to: (1) assess family functioning and burden of care in caregivers living in Northern, Central, and Southern Italy who looked after subjects affected by chronic schizophrenia; (2) evaluate the relationship between aspects of family functioning and burden of care, in particular personal growth (PG) of caregivers; and (3) identify variables capable of affecting PG of caregivers. A total of 136 caregivers (mean length of illness of family member more than 20 years) were recruited from 9 Italian research sites and evaluated in terms of "positive" family functioning-problem-solving, communication skills and personal goals Family Functioning Questionnaire (FFQ), burden of care, and PG Family Problems Questionnaire (FPQ). Caregivers reported an overall good family functioning with a relatively low objective and subjective burden of care. The latter was positively correlated with length of illness, with women showing a higher subjective burden than men. Reduced problem-solving skills and ability of each family member to pursue personal goals were both associated with reduced objective and subjective burden which, conversely, were both increased by inadequate support and scarce positive comments from relatives and friends. Approximately 50% of caregivers stated that "they had learned something positive from the situation," highlighting a statistically higher proportion of caregivers in southern Italy than in northern and central Italy. Caregivers' PG was associated with good family functioning, adequate professional support, and positive comments. PG also seemed to be positively influenced by support from relatives and friends (O.R. 14.306). The numerous challenges and positive aspects associated with caregiving should be duly acknowledged by mental health services and integrated into routine clinical assessment and intervention framework

The impact of COVID-19 lockdown and of the following "re-opening" period on specific and general psychopathology in people with Eating Disorders: the emergent role of internalizing symptoms

BACKGROUND: We assessed the impact of the coronavirus disease 2019 (COVID-19) pandemic on specific Eating Disorder (ED) and general psychopathology in people with an ED diagnosis during the lockdown period and after the end of the related containment measures.METHODS: People with clinically defined diagnosis and undergoing treatment for an ED completed an online survey, which included adapted questions from standardized psychometric scales. Data relative to three different time periods (before, during and after the end of lockdown) were collected. Psychopathological changes over these periods were investigated and compared through one-way analysis of variance or covariance with repeated measures.RESULTS: Three hundred twelve people completed the survey (57.4% diagnosed with Anorexia Nervosa (AN) or atypical AN, 20.2% with Bulimia Nervosa, 15.4% with Binge Eating Disorder, 7.05% with Other Specified Feeding or Eating Disorders). The severity of both specific and general psychopathology increased during the lockdown and the rise of general symptoms persisted in the following re-opening phase, except for suicide ideation. Almost all of these findings were not affected by ED diagnosis, participants' age and illness duration.LIMITATIONS: The retrospective nature of data collection is the main limitation of the study.CONCLUSIONS: People with EDs showed a COVID-19 emergency-induced worsening of both general and specific psychopathology. The effect on general psychopathology persisted in the re-opening period. These findings suggest a high stress vulnerability of ED individuals with important effects on internalizing symptoms, which are worth of attention by clinicians

Insight in cognitive impairment assessed with the Cognitive Assessment Interview in a large sample of patients with schizophrenia

The Cognitive Assessment Interview (CAI) is an interview-based scale measuring cognitive impairment and its impact on functioning in subjects with schizophrenia (SCZ). The present study aimed at assessing, in a large sample of SCZ (n = 601), the agreement between patients and their informants on CAI ratings, to explore patients' insight in their cognitive deficits and its relationships with clinical and functional indices. Agreement between patient- and informant-based ratings was assessed by the Gwet's agreement coefficient. Predictors of insight in cognitive deficits were explored by stepwise multiple regression analyses. Patients reported lower severity of cognitive impairment vs. informants. A substantial to almost perfect agreement was observed between patients' and informants' ratings. Lower insight in cognitive deficits was associated to greater severity of neurocognitive impairment and positive symptoms, lower severity of depressive symptoms, and older age. Worse real-life functioning was associated to lower insight in cognitive deficit, worse neurocognitive performance, and worse functional capacity. Our findings indicate that the CAI is a valid co-primary measure with the interview to patients providing a reliable assessment of their cognitive deficits. In the absence of informants with good knowledge of the subject, the interview to the patient may represent a valid alternative

Does social cognition change? Evidence after 4 years from the Italian Network for Research on Psychoses

Background Deficits in social cognition (SC) are significantly related to community functioning in schizophrenia (SZ). Few studies investigated longitudinal changes in SC and its impact on recovery. In the present study, we aimed: (a) to estimate the magnitude and clinical significance of SC change in outpatients with stable SZ who were assessed at baseline and after 4 years, (b) to identify predictors of reliable and clinically significant change (RCSC), and (c) to determine whether changes in SC over 4 years predicted patient recovery at follow-up. Methods The reliable change index was used to estimate the proportion of true change in SC, not attributable to measurement error. Stepwise multiple logistic regression models were used to identify the predictors of RCSC in a SC domain (The Awareness of Social Inference Test [TASIT]) and the effect of change in TASIT on recovery at follow-up. Results In 548 participants, statistically significant improvements were found for the simple and paradoxical sarcasm of TASIT scale, and for the total score of section 2. The reliable change index was 9.8. A cut-off of 45 identified patients showing clinically significant change. Reliable change was achieved by 12.6% and RCSC by 8% of participants. Lower baseline TASIT sect. 2 score predicted reliable improvement on TASIT sect. 2. Improvement in TASIT sect. 2 scores predicted functional recovery, with a 10-point change predicting 40% increase in the probability of recovery. Conclusions The RCSC index provides a conservative way to assess the improvement in the ability to grasp sarcasm in SZ, and is associated with recovery

The interplay among psychopathology, personal resources, context-related factors and real-life functioning in schizophrenia: stability in relationships after 4 years and differences in network structure between recovered and non-recovered patients

Improving real-life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses previously explored, by using network analysis, the interplay among illness-related variables, personal resources, context-related factors and real-life functioning in a large sample of patients with schizophrenia. The same research network has now completed a 4-year follow-up of the original sample. In the present study, we used network analysis to test whether the pattern of relationships among all variables investigated at baseline was similar at follow-up. In addition, we compared the network structure of patients who were classified as recovered at follow-up versus those who did not recover. Six hundred eighteen subjects recruited at baseline could be assessed in the follow-up study. The network structure did not change significantly from baseline to follow-up, and the overall strength of the connections among variables increased slightly, but not significantly. Functional capacity and everyday life skills had a high betweenness and closeness in the network at follow-up, as they had at baseline, while psychopathological variables remained more peripheral. The network structure and connectivity of non-recovered patients were similar to those observed in the whole sample, but very different from those in recovered subjects, in which we found few connections only. These data strongly suggest that tightly coupled symptoms/dysfunctions tend to maintain each other's activation, contributing to poor outcome in schizophrenia. Early and integrated treatment plans, targeting variables with high centrality, might prevent the emergence of self-reinforcing networks of symptoms and dysfunctions in people with schizophrenia

The association between insight and depressive symptoms in schizophrenia: Undirected and Bayesian network analyses

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

The interplay among psychopathology, personal resources, context-related factors and real-life functioning in schizophrenia: stability in relationships after 4 years and differences in network structure between recovered and non-recovered patients

Improving real-life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses previously explored, by using network analysis, the interplay among illness-related variables, personal resources, context-related factors and real-life functioning in a large sample of patients with schizophrenia. The same research network has now completed a 4-year follow-up of the original sample. In the present study, we used network analysis to test whether the pattern of relationships among all variables investigated at baseline was similar at follow-up. In addition, we compared the network structure of patients who were classified as recovered at follow-up versus those who did not recover. Six hundred eighteen subjects recruited at baseline could be assessed in the follow-up study. The network structure did not change significantly from baseline to follow-up, and the overall strength of the connections among variables increased slightly, but not significantly. Functional capacity and everyday life skills had a high betweenness and closeness in the network at follow-up, as they had at baseline, while psychopathological variables remained more peripheral. The network structure and connectivity of non-recovered patients were similar to those observed in the whole sample, but very different from those in recovered subjects, in which we found few connections only. These data strongly suggest that tightly coupled symptoms/dysfunctions tend to maintain each other's activation, contributing to poor outcome in schizophrenia. Early and integrated treatment plans, targeting variables with high centrality, might prevent the emergence of self-reinforcing networks of symptoms and dysfunctions in people with schizophrenia

GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture

Epilepsy is a highly heritable disorder affecting over 50 million people worldwide, of which about one-third are resistant to current treatments. Here we report a multi-ancestry genome-wide association study including 29,944 cases, stratified into three broad categories and seven subtypes of epilepsy, and 52,538 controls. We identify 26 genome-wide significant loci, 19 of which are specific to genetic generalized epilepsy (GGE). We implicate 29 likely causal genes underlying these 26 loci. SNP-based heritability analyses show that common variants explain between 39.6% and 90% of genetic risk for GGE and its subtypes. Subtype analysis revealed markedly different genetic architectures between focal and generalized epilepsies. Gene-set analyses of GGE signals implicate synaptic processes in both excitatory and inhibitory neurons in the brain. Prioritized candidate genes overlap with monogenic epilepsy genes and with targets of current antiseizure medications. Finally, we leverage our results to identify alternate drugs with predicted efficacy if repurposed for epilepsy treatment

Tuberous sclerosis complex-associated CNS abnormalities depend on hyperactivation of mTORC1 and Akt

Tuberous sclerosis complex (TSC) is a dominantly inherited disease caused by hyperactivation of the mTORC1 pathway and characterized by the development of hamartomas and benign tumors, including in the brain. Among the neurological manifestations associated with TSC, the tumor progression of static subependymal nodules (SENs) into subependymal giant cell astrocytomas (SEGAs) is one of the major causes of morbidity and shortened life expectancy. To date, mouse modeling has failed in reproducing these 2 lesions. Here we report that simultaneous hyperactivation of mTORC1 and Akt pathways by codeletion of Tsc1 and Pten, selectively in postnatal neural stem cells (pNSCs), is required for the formation of bona fide SENs and SEGAs. Notably, both lesions closely recapitulate the pathognomonic morphological and molecular features of the corresponding human abnormalities. The establishment of long-term expanding pNSC lines from mouse SENs and SEGAs made possible the identification of mTORC2 as one of the mediators conferring tumorigenic potential to SEGA pNSCs. Notably, in spite of concurrent Akt hyperactivation in mouse brain lesions, single mTOR inhibition by rapamycin was sufficient to strongly impair mouse SEGA growth. This study provides evidence that, concomitant with mTORC1 hyperactivation, sustained activation of Akt and mTORC2 in pNSCs is a mandatory step for the induction of SENs and SEGAs, and, at the same time, makes available an unprecedented NSC-based in vivo/in vitro model to be exploited for identifying actionable targets in TSC

Gender-dependent association of type 2 diabetes with the vasoactive intestinal peptide receptor 1

Type 2 diabetes is characterized by an inadequate pancreatic beta-cell response to the progressive insulin resistance. Its pathogenesis is complex and has been connected with a state of preclinical chronic inflammation. Vasoactive intestinal peptide (VIP) and its receptors play a relevant role in the homeostasis of insulin secretion as well as in the control of inflammation. In particular, VIP receptor 1 (VPAC1) has been found to be down-modulated during inflammation, and to be associated with several diseases. The objective of this study was to compare the distribution of SNPs mapping in the VIP receptor 1 gene in cases with type 2 diabetes and matched controls. Seven hundred cases with type 2 diabetes (423 males and 277 females) and 830 random controls (419 males and 411 females) were analyzed for the distribution of three common SNPs mapping in the VPAC1 gene. The results show a significantly different genotype distribution of the SNP rs9677 in the 3'-UTR of VPAC1 in female cases with type 2 diabetes compared to gender-matched controls (ptrend = 6 x 10(-4)). The rs9677 CC genotype confers the highest risk (OR: 2.1) and correlates with worse clinical parameters such as higher level of total cholesterol, higher LDL/HDL ratio and a higher HbA1c concentration. The genetic association reported here indicates that VIP/VPAC1 signaling can be a relevant pathway in the pathogenesis of type 2 diabetes in females suggesting that at least some aspects of the genetic predisposition to this disease can be gender-specific. (C) 2011 Elsevier B.V. All rights reserved