Withdrawn: Ticagrelor reduces myocardial cell injury induced by myocardial ischemia/reperfusion in diabetic rats by activating JAK2/STAT3.

The above article from Cell Biology International, published online on 5 December 2022, on Wiley Online Library (https://doi.org/10.1002/cbin.11940), has been withdrawn by agreement between the journal Editor in Chief, Sergio Schenkman, and John Wiley and Sons Ltd. The withdrawal has been agreed due to a technical error at the publisher that caused the article to be mistakenly published online although it had been rejected due to evidence that the peer review process for this paper was manipulated.

Factors Influencing Self-Management of Schizophrenia: A Cross-Sectional Study.

The purpose of the current study was to (a) understand the influencing factors of self-management in schizophrenia, (b) explore the relationship between social support and self-management, and (c) explore the intermediary role of coping modes between social support and self-management. From May to December 2020, a total of 320 community-dwelling persons with schizophrenia were recruited and completed self-report questionnaires. Spearman's correlation analysis was used to determine the relationship between the three variables and the bootstrap method was used to test the intermediary hypothesis. Results showed that 21.9% of persons with schizophrenia had low social support, 78.1% had medium social support, and convalescent persons with schizophrenia had high social support. Self-management was positively correlated with social support (r = 0.372, p < 0.05), confrontation coping mode (r = 0.576, p < 0.05), and avoidance coping mode (r = 0.204, p < 0.05), and negatively correlated with resignation coping mode (r = -0.057, p < 0.05). Confrontation and avoidance coping modes have a mediating effect between social support and self-management. Mental health nurses should understand the influence of social support and coping modes on self-management, and help persons with schizophrenia find social resources, build confidence, and confront the disorder positively. [Journal of Psychosocial Nursing and Mental Health Services, 61(2), 19-26.].

Baseline symptom-related white matter tracts predict individualized treatment response to 12-week antipsychotic monotherapies in first-episode schizophrenia.

There is significant heterogeneity in individual responses to antipsychotic drugs, but there is no reliable predictor of antipsychotics response in first-episode psychosis. This study aimed to investigate whether psychotic symptom-related alterations in fractional anisotropy (FA) and mean diffusivity (MD) of white matter (WM) at the early stage of the disorder may aid in the individualized prediction of drug response. Sixty-eight first-episode patients underwent baseline structural MRI scans and were subsequently randomized to receive a single atypical antipsychotic throughout the first 12 weeks. Clinical symptoms were evaluated using the eight "core symptoms" selected from the Positive and Negative Syndrome Scale (PANSS-8). Follow-up assessments were conducted at the 4th, 8th, and 12th weeks by trained psychiatrists. LASSO regression model and cross-validation were conducted to examine the performance of baseline symptom-related alterations FA and MD of WM in the prediction of individualized treatment outcome. Fifty patients completed both clinical follow-up assessments by the 8th and 12th weeks. 30 patients were classified as responders, and 20 patients were classified as nonresponders. At baseline, the altered diffusion properties of fiber tracts in the anterior thalamic radiation, corticospinal tract, callosum forceps minor, longitudinal fasciculi (ILF), inferior frontal-occipital fasciculi (IFOF) and superior longitudinal fasciculus (SLF) were related to the severity of symptoms. These abnormal fiber tracts, especially the ILF, IFOF, and SLF, significantly predicted the response to antipsychotic treatment at the individual level (AUC = 0.828, P < 0.001). These findings demonstrate that early microstructural WM changes contribute to the pathophysiology of psychosis and may serve as meaningful individualized predictors of response to antipsychotics.

Effectiveness of video-based psychiatric rehabilitation for patients with early-phase schizophrenia spectrum: A randomized controlled trial.

AIM: This study aimed to establish a comprehensive set of recovery-oriented rehabilitation programs for individuals with schizophrenia, comparing the efficacy of video-based rehabilitation to traditional face-to-face interventions. The primary objective was to assess whether video-based rehabilitation could serve as a viable alternative for individuals with schizophrenia residing in remote areas. METHODS: A randomized controlled study was used to recruit 80 patients with schizophrenia in a stable post-hospitalization stage following discharge. Participants were categorized into three groups: 24 in the control group, 21 in the face-to-face group, and 35 in the remote group. Assessment parameters included psychiatric symptoms, social skills, family function and self-stigma. RESULTS: A total of 68 participants completed the program. The findings indicated significant differences (p < .05) between the control group and intervention group, particularly in the Positive and Negative Syndrome Scale (PANSS) and the Personal and Social Performance Scale (PSP). CONCLUSIONS: The rehabilitation program, tailored for patients in the early phase of the schizophrenia spectrum, demonstrates both effectiveness and feasibility in enhancing clinical symptoms and social functions. Notably, interventions conducted via video proved to be equally effective as those administered face-to-face.

Brain Structure Measurements Predict Individualized Treatment Outcome of 12-Week Antipsychotic Monotherapies in First-episode Schizophrenia.

BACKGROUND AND HYPOTHESIS: Early prediction of treatment response to antipsychotics in schizophrenia remains a challenge in clinical practice. This study aimed to investigate if brain morphometries including gray matter volume and cortical thickness could serve as potential predictive biomarkers in first-episode schizophrenia. STUDY DESIGN: Sixty-eight drug-naïve first-episode patients underwent baseline structural MRI scans and were subsequently randomized to receive a single antipsychotic throughout the first 12 weeks. Assessments for symptoms and social functioning were conducted by eight "core symptoms" selected from the Positive and Negative Syndrome Scale (PANSS-8) and the Personal and Social performance scale (PSP) multiple times during follow-ups. Treatment outcome was evaluated as subject-specific slope coefficients for PANSS-8 and PSP scores using linear mixed model. LASSO regression model were conducted to examine the performance of baseline gray matter volume and cortical thickness in prediction of individualized treatment outcome. STUDY RESULTS: The study showed that individual brain morphometries at baseline, especially the orbitofrontal, temporal and parietal cortex, pallidum and amygdala, significantly predicted 12-week treatment outcome of PANSS-8 (r[predicted vs observed] = 0.49, P = .001) and PSP (r[predicted vs observed] = 0.40, P = .003) in first-episode schizophrenia. Moreover, the gray matter volume performed better than cortical thickness in the prediction the symptom changes (P = .034), while cortical thickness outperformed gray matter volume in the prediction of outcome of social functioning (P = .029). CONCLUSIONS: These findings provide initial evidence that brain morphometry have potential to be used as prognostic predictors for antipsychotic response in patients, encouraging the future investigation of the translational value of these measures in precision psychiatry.

Disease information disclosure among patients with mental illness and their family members in China.

Objective: The disclosure of mental illness is a first and crucial step in alleviating stigma and promoting mental recovery. However, at present, there is a lack of research on this subject in the Chinese context. Therefore, we conducted this survey among patients with mental illness and their family members and analyzed the influencing factors. Methods: Questionnaires were distributed to qualified patients with mental illness and their family members, who were enrolled from the inpatient departments of two major mental health centers in China. Hierarchical linear regression analysis was used to evaluate the factors affecting the disclosure of disease information by patients with mental illness and their family members. Results: A total of 153 patients and 159 family members were included. The percentages of patients and family members who intended to disclose disease information were 34.6 and 18.2%, respectively. Regarding the benefits of being out (BBO), marital status and the number of hospitalizations explained 13.1% of the variance, and stigma explained 4.3% of the variance. Regarding the reasons for staying in (RSI), marital status and family history of mental illness explained 14.4% of the variance, and stigma explained 14.8% of the variance. In the model predicting the influencing factors of family member disclosure, stigma was a predictor of both BBO and RSI, explaining 8.1 and 8.7% of the variance, respectively. Conclusion: Both patients and their families were more reluctant than willing to disclose. Marital status, number of hospitalizations and family history of mental illness were all influencing factors of patients' intentions to disclose disease information. Stigma is closely related to disclosure intention and plays an important role in the disclosure intentions of patients and their families. This suggests that the disclosure of disease information is complex, and many factors need to be considered. Disclosure guidelines should be tailored to individuals.

Cross-sectional survey of the relationship of symptomatology, disability and family burden among patients with schizophrenia in Sichuan, China.

BACKGROUND: Schizophrenia is a chronic condition that leads to high rates of disability and high levels of family burden but the interactive relationship between these variables remains unclear, particularly in low- and middle-income countries where the vast majority of patients live with their families. AIM: Assess the symptom severity, level of disability, and family burden among clinically stable outpatients with schizophrenia in Sichuan, China. METHODS: A total of 101 clinically stable outpatients with schizophrenia who had a median duration of illness of five years were assessed using the World Health Organization Disability Assessment Scale 2.0 (WHODAS II), the Positive and Negative Syndrome Scale (PANSS) and the Family Adaptation, Partnership, Growth, Affection and Resolve Index scale (APGAR); and their caregivers were surveyed using the Family Burden Interview Schedule (FBIS). RESULTS: Among the 101 patients, 92 lived with their immediate family members, 74 had clinically significant disability, and 73 were unemployed. The level of disability was associated with the severity of symptoms (r=0.50, p<0.001), duration of illnesses (r=0.22, p=0.028), age of onset (r=-0.22, p=0.024) and patients' level of satisfaction with family support (r=-0.30, p=0.020). Disability was also associated with the overall level of family burden (r=0.40, p<0.001), and with several subtypes of family burden: financial burden (r=0.21, p=0.040), the degree of disruption in family routines (r=0.33, p=0.001), the effect on family leisure activities (r=0.31, p=0.001) and the quality of family interactions (r=0.43, p< 0.001). Four variables remained significantly associated with the level of disability in the stepwise multivariate linear regression: duration of illness, severity of symptoms, patient satisfaction with family support, and the overall burden of the illness on the family. CONCLUSIONS: Even after adjusting for the severity of patients' symptoms, patient disability is independently associated with family burden. This highlights the importance of targeting both symptoms and disability in treatment strategies for this severe, often lifelong, condition. In countries like China where most individuals with schizophrenia live with their families, family burden is an important component of the impact of the illness on the community that should be included in measures of the relative social and economic importance of the condition.