BACKGROUND:Liver organoids are of great significance to elucidate the exact pathological mechanism of liver diseases and the treatment of liver diseases. OBJECTIVE:To summarize the basic research in this field at home and abroad,review the important research progress in the construction of liver organoids,disease modeling and transplantation therapy,and discuss the application prospect of combined tissue engineering technology of liver organoids. METHODS:The relevant articles included in PubMed and CNKI databases were searched.The English and Chinese search terms were"liver,organoids,liver diseases."The main search time was from April 2018 to April 2024.Duplicate literature was excluded by manual reading.Finally,94 articles were included for review and analysis. RESULTS AND CONCLUSION:The seed cells constructed by liver organoids are mainly concentrated in adult cells and pluripotent stem cells,which promote the generation of organoids by assisting various cytokines to participate in signal guidance and providing 3D microenvironment by extracellular matrix.However,the overall maturity is not high,which is expected to improve this problem by combining tissue engineering technology.In vitro disease modeling is mainly studied in the field of simple diseases and single-gene genetic diseases.Organoids highly retain patient genetic characteristics,and it is expected to simulate more complex liver diseases and clarify deeper pathological mechanisms by combining CRISPR-Cas9 gene correction and other emerging technologies.In vivo transplantation treatment,liver organoids can be safely and effectively implanted,showing amazing liver function replacement potential,tissue regeneration ability,and may also be combined with other tissue engineering materials to achieve therapeutic purposes.

ObjectiveTo investigate the current status of emergency management for severe mental disorders in Shanghai, and to provide countermeasures and suggestions for the establishment of a sound emergency management system for severe mental disorders and the enhancement of emergency management capability. MethodsA questionnaire survey and qualitative interviews were used to conduct an investigation into the emergency management in 17 district-level mental illness prevention and control institutions in Shanghai, which includes the basic situation of emergency management for severe mental disorders, the construction of emergency response teams and personnel, emergency preparedness drills and training, emergency management plans and rules and regulations, and problems encountered in emergency management. ResultsIn terms of emergency management mechanism and basic situation, resources such as personnel allocation, security funds and green channel were well equipped in each district-level mental illness prevention and control institution in Shanghai. However, the equipment of some hardware facilities was still insufficient to some extent. Therefore, further improvement on the emergency management mechanism for severe mental disorders was needed. With regard to the construction of emergency team and personnel allocation, the majority were those aged between 35‒<45 years old, with a bachelor’s degree, and more than 10 years of working experience. For example, 90.27% staff in district-level mental illness prevention and control institution had a bachelor’s degree or above, which was higher than that among the staff in community-level (73.60%); staff majored in clinical medicine in district-level institution accounted for the proportion at 52.71%, higher than that among the staff in community-level (28.86%); 57.24% staff in district-level institution had an intermediate professional title, higher than that among the staff in community-level (42.28%); and 69.90% staff in district-level institution had more than 10 years of working experience, higher than that among the staff in community-level (43.62%). In the aspect of emergency drills and training, all district-level mental illness prevention and control institutions in Shanghai had a high demand for emergency training, and the weak aspects mainly focused on lack of emergency service protocols, skills of addressing technical challenges, and construction of effectiveness evaluation system. Moreover, the teaching methods were primarily centered on case analysis, simulation drills, interactive discussions, and so forth. Concerning emergency management plans and rules and regulations, all districts in Shanghai had relatively established well-developed systems for emergency response plans, emergency response leadership groups, and emergency response operational task forces for severe mental disorders. About half of the institutions had established other rules and regulations related to emergency management of severe mental disorders in addition to emergency plans. ConclusionShanghai has initially established an emergency management system for severe mental disorders, but it is still fragile in specialized training for emergency management of severe mental disorders, construction of emergency management mechanisms, and the building-up of grassroots emergency teams. Further priorities should include strengthening emergency management training, enhancing the construction of emergency management personnel teams, and gradually establishing a more comprehensive and integrated emergency management mechanism for severe mental disorders.

ObjectiveTo analyze the protective effect of different types of influenza vaccines (InfV) against influenza A among the individuals aged between 3‒17 years old, and to provide a scientific basis for the prevention and control of influenza in the future. MethodsA retrospective cohort study was conducted to collect data on the incidence and InfV vaccination of the individuals aged between 3‒17 years during the influenza epidemic season from 2022 to 2023. Vaccine effectiveness (VE) was calculated, and a log-binomial regression model was used to calculate the corrected VE. ResultsThe incidence rate of influenza in InfV vaccinated and un-vaccinated groups was 7.32% (1 937/ 26 446) and 9.65% (4 421/45 837), respectively. After adjusting for age and gender factors, the unadjusted VE (95%CI) was 54.57% (52.24%‒56.78%). The unadjusted VE (95%CI) was 53.66% (50.36%‒56.74%) for males and 55.60% (52.24%‒58.72%) for females, respectively. The unadjusted VE (95%CI) for the age group of 3‒ years, 6‒ years, 9‒ years, 12‒ years, and 15‒17 years were 64.08% (60.89%‒67.01%), 57.40% (53.71%‒60.80%), 57.77% (52.49%‒62.47%), 24.36% (9.49%‒36.79%), and 24.09% (-17.59%‒51.00%), respectively. The unadjusted VE (95%CI) for quadrivalent split-virion inactivated influenza vaccine, trivalent split-virion inactivated influenza vaccine, trivalent subunit influenza vaccine, and trivalent live attenuated influenza vaccine were 53.84% (51.32%‒56.24%), 62.17% (56.28%‒67.26%), 79.83% (69.94%‒86.46%), and 31.59% (19.07%‒42.18%), respectively. ConclusionThe InfV used during the 2022‒2023 influenza season had a good protective effect against influenza A among the individuals aged between 3‒17 years old, especially in those aged between 3‒11 years old.

With the advent of precision medicine and personalized treatment, targeted therapies have become pivotal in oncology. Noninvasive molecular imaging, especially immunoPET/SPECT, plays a crucial role in refining cancer diagnostics and treatment monitoring by visualizing biological processes at the molecular level. This review explores the dynamic field of immunoPET/SPECT imaging using Fab and F(ab')₂ fragments, characterized by advantageous pharmacokinetics and swift clearance from the bloodstream, making them suitable for same-day imaging procedures. We examine contemporary strategies for radiolabeling these fragments with PET and SPECT radionuclides and discuss potential advancements and the challenges anticipated in the further development of Fab and F(ab')₂ fragments. Despite the complexities involved in their development, these fragments hold significant promise for advanceing personalized cancer treatment. Keys to this advancement are innovative radiolabeling techniques, site-specific conjugation chemistries, and short-lived radionuclides, all of which are crucial for overcoming existing limitations and enhancing the clinical utility of these imaging agents. As research progresses, Fab and F(ab')₂ fragments are expected to become central to the future of cancer diagnostics and therapeutic monitoring, thereby improving patient management and contributing significantly to the evolution of personalized medicine.

ObjectiveTo investigate the prevalence of cardiovascular diseases and their influencing factors in community-based schizophrenia patients in Shanghai, and to provide a scientific basis for the early identification and prevention of cardiovascular disease in this population. MethodsBased on the Shanghai community cohort with severe mental disorders in 2022, a total of 3 954 community-based schizophrenia patients were identified and included in this study through a stratified cluster sampling method. Basic information and relevant clinical data (including metabolic index data) were collected through questionnaire survey, physical examination and laboratory testing. Univariate analyses were performed using the chi-square tests, and multivariate logistic regression analyses were employed to identify influencing factors of comorbid cardiovascular diseases. ResultsA total of 3 954 community-based schizophrenia patients were included, of which a total of 1 237 (31.28%) patients had comorbid cardiovascular diseases. Multivariate logistic regression analyses showed that age 60 years old or above (OR=5.524, 95%CI: 3.716‒8.214), smoking behavior (OR=1.328, 95%CI: 1.042‒1.692), overweight (OR=1.900, 95%CI: 1.046‒3.451) or obesity (OR=2.678, 95%CI: 1.439‒4.985), elevated blood pressure (OR=1.546, 95%CI: 1.294‒1.846), abnormal fasting blood glucose (OR=1.552, 95%CI: 1.322‒1.823) and high-density lipoprotein cholesterol abnormalities (OR=1.283, 95%CI: 1.025‒1.606) were positively associated with the risk of comorbid cardiovascular diseases in patients with schizophrenia, while educational attainment of college/bachelor’s degree or above (OR=0.640, 95%CI: 0.450‒0.910) and being unmarried (OR=0.552, 95%CI: 0.457‒0.667) were negatively associated with the risk of cardiovascular diseases comorbidity. ConclusionAdvanced age, unhealthy behaviors and lifestyles, as well as abnormalities in blood pressure, blood glucose, and blood lipids, could all increase the risk of comorbid cardiovascular diseases in community schizophrenia patients. It is suggested to strengthen the monitoring and management of these risk factors in this population in the future, so as to achieve early detection, early diagnosis and early intervention of cardiovascular diseases.

ObjectiveTo analyze the temporal distribution characteristics of crisis calls and eight major counseling issues to the Shanghai mental health hotline, and to provide recommendations for improving hotline management. MethodsDescriptive statistics were used to analyze 1 106 crisis calls and the calls of eight major counseling issues to the Shanghai mental health hotline across months, time periods and weeks from October 2021 to September 2023, and the chi-square test was used to analyze whether there was any difference in the distribution of 1 106 crisis calls and the calls of eight major counseling issues across months, time periods and weeks. ResultsThere were significant differences in the number of crises calls across different months (χ²=87.816, P<0.05), time periods (χ²=161.848, P<0.05), and weekly distributions (χ²=63.329, P<0.05). The highest number of calls occurred in September, while January had the lowest. The peak call times were between 18:00‒20:00, with the fewest calls occurring between 3:00‒5:00. The day of the week with the highest number of calls was Saturday, while Wednesday had the lowest. Among the different types of counselling issues in crisis calls, the highest number of calls were related to mental disorders, while the fewest calls were related to COVID-19. ConclusionCrisis calls to the Shanghai mental health hotline are concentrated at specific times, indicating that relevant organizations should optimize resource allocation based on this time distribution.

ObjectiveTo explore the characteristics and associated risk factors of diabetes in patients with schizophrenia living in communities, and to provide a basis for the prevention of diabetes comorbidity in this population. MethodsA stratified cluster sampling was used to randomly select patients with schizophrenia in Shanghai who participated in the free health examination provided by the National Basic Public Health Services in 2020. Statistical methods were employed to analyze the general demographic data, clinical characteristics, and laboratory test results of the study subjects. ResultsThe study included 3 374 individuals with schizophrenia, among which the prevalence of diabetes was 17.01%. Statistically significant differences were observed in terms of age, education level, urban area type, marital status, employment status, duration of illness, blood pressure, body mass index, total cholesterol, and triglyceride levels (all P<0.05). Multivariate logistic regression analysis revealed that living in non-central urban areas (OR=1.76, 95%CI: 1.33‒2.32), disease duration of 6‒ years (OR=2.60, 95%CI: 1.07‒6.32), disease duration of 11‒ years (OR=2.72, 95%CI: 1.17‒6.35), disease duration of 16‒ years (OR=3.38, 95%CI: 1.54‒7.42), hypertension(OR=1.73, 95%CI: 1.27‒2.36), obesity (OR=1.52, 95%CI: 1.15‒2.00), and elevated triglyceride levels (OR=2.78, 95%CI: 2.22‒3.49) were risk factors for diabetes in patients with schizophrenia. ConclusionThe prevalence of diabetes in community-dwelling patients with schizophrenia is higher than that in the general population. It is recommended that appropriate health education and rehabilitation guidance be provided as part of community-based mental health services.

ObjectiveTo investigate the status of liver function abnormalities in patients with severe mental disorder (SMD) in Shanghai community, to explore the related factors to abnormal liver function in patients with SMD, and to analyze the effects of the types of mental disorders and medication status on liver function abnormalities. MethodsThe patients with SMD in Jinshan District, Minhang District, Hongkou District and Xuhui District of Shanghai were selected as the research subjects. Questionnaire survey, physical examination and laboratory tests were conducted to obtain their demographic characteristics and liver function indicators such as alanine aminotransferase (ALT) and total bilirubin (TBil). The types of mental disorders and medication status of patients in Jinshan District were also investigated. Abnormalities in liver function were determined by abnormalities in either ALT or TBil. Binary logistic regression analysis was used for multivariate analysis of the status of abnormal liver function, and the effects of mental disorder types and medication status on liver function were analyzed, simultaneously. ResultsA total of 7 251 patients with SMD were finally included into this study, and the rate of liver function abnormality was 22.7%, of which 694 cases (9.6%) had ALT abnormality and 1 084 cases (14.9%) had TBil abnormality. Univariate analysis showed that the rate of liver function abnormalities was higher in males than that in females (χ²=45.026, P<0.001), higher in suburbs than that in urban areas (χ²=25.317, P<0.001), higher in those with higher BMI than in those with lower BMI (χ²=63.748, P<0.001), higher in those with elevated blood pressure (BP) than in those without elevated BP (χ²=24.774, P<0.001), higher in those with elevated blood glucose than in those without elevated blood glucose (χ²=43.345, P<0.001), higher in those with abnormal triglyceride (TG) than in those with normal TG (χ²=15.551,P<0.001), and higher in those with abnormal total cholesterol (TC) than in those with normal TC (χ²=10.962, P=0.001). Multivariate analysis showed that the rate of abnormal liver function was higher in males than that in females (OR=1.53, 95%CI: 1.36‒1.73), higher in suburbs than that in urban areas (OR=1.43, 95%CI: 1.21‒1.70), higher in those with overweight than in those with normal BMI (OR=1.16, 95%CI: 1.01‒1.33), higher in those with obesity than in those with those with normal BMI (OR=1.61, 95%CI: 1.36‒1.91), higher in those with elevated blood glucose than in those without elevated blood glucose (OR=1.39, 95%CI: 1.23‒1.58), and higher in those with abnormal TC than in those with normal TC (OR=1.36, 95%CI: 1.13‒1.65).The difference in the rate of ALT abnormalities among the SMD patients in Jinshan District with different medication status was statistically significant (χ²=21.928, P<0.001). Whereas, the differences in the effects of the types of mental disorders and medication status on the status of liver function abnormalities were not statistically significant(P>0.05). ConclusionThe detection rate of liver function abnormalities in community-based SMD patients in Shanghai is high, and male, suburban, and accompanied by elevated BMI, BP, blood glucose, and TC are risk factors for liver function abnormalities in patients with SMD. Primary healthcare providers should pay more attention to the liver function of patients with SMD and initiate targeted and tailored prevention, detection and treatment measures.

Objective: To investigate the characteristics of schizophrenic patients using long-acting antipsychotic medications, so as to provide the basis for applicable population of long-acting antipsychotic medications. Methods: Data of schizophrenic patients using long-acting antipsychotic medications in Shanghai City from June 2020 to June 2022 were collected through Shanghai Mental Health Information Management System, and demographic characteristics, illness and medication use of patients were descriptively analyzed. Results: A total of 2 684 schizophrenic patients using long-acting antipsychotic medications were included in the study, had a mean age of (46.92±12.39) years, with 1 246 males (46.42%) and 1 438 females (53.58%). There were 1 397 unemployed cases, accounting for 52.05%; 1 429 cases with an educational level in junior high school or below, accounting for 53.24%; 1 301 unmarried cases, accounting for 48.47%; 832 cases in poverty, accounting for 31.00%. The caregivers of patients were mainly their parents, with 1 507 cases accounting for 56.15%. The courses of illness were mainly ≤10 years and >10-20 years, with 860 cases each, both accounting for 32.04%; 1 963 cases with incomplete self-awareness, accounting for 73.14%; 1 570 cases hospitalized at least once, accounting for 58.49%. There were 2 486 cases with continuous medication, accounting for 92.62%. The main method of taking medication was given by others, with 1 947 cases accounting for 72.54%. The medication adherence was mainly taking medication on time and in the right amount, with 2 437 cases accounting for 90.80%. Conclusion The main characteristics of schizophrenic patients using long-acting antipsychotic medications are young, unmarried, and unemployed adults, with incomplete self-awareness, continuous medication and medication given by others.

Objective To propose a distribution feature extraction algorithm based on wavelet packet coefficients to reconstruct the signal energy sequence for effectively identifying the pathological features of heart sounds,thereby realizing the early screening of heart diseases.Methods The original heart sound signal was decomposed into 10 layers using wavelet packet decomposition algorithm.After obtaining the wavelet packet coefficients of each layer,each coefficient was reconstructed,and the energy of the reconstructed signal was calculated and arranged in the original order to form the energy sequence.The distribution characteristics of the energy sequence of the reconstructed signals at each layer were analyzed,and distribution features were taken as classification features.Support vector machine,K-nearest neighbor,and decision tree were used to classify and recognize normal heart sounds and the heart sound signals of various diseases.Results The combination of the distribution features of the reconstructed signal energy sequence and decision tree classifier had an accuracy of 93.6%for classifying 5 types of heart sounds on the public dataset,and the accuracy was 95.6%for identifying normal heart sounds and hypertrophic cardiomyopathy heart sounds.Conclusion The proposed algorithm can extract the effective pathological information of abnormal heart sounds,providing a reference for clinical cardiac auscultation.