Objective To establish a rat model of Alzheimer's disease (AD) expressing human triple mutant amyloid precursor protein (APP) in the hippocampus, and to provide a model for the study of disease mechanisms and drug development. Methods Twenty-four 12-week-old SPF-grade female SD rats were randomly divided into a blank control group, a virus control group and an experimental group, with eight rats in each group; among them, the experimental group received a stereotaxic injection of adeno-associated virus (AAV) carrying the human triple mutant APP and NanoLuc luciferase genes into the hippocampus. In vivo imaging was used to observe viral expression in the brains of rats in each group, the novel object recognition test was used to assess the recognition memory of the rats in each group, real-time fluorescent quantitative PCR was used to detect the expression level of the APP gene, HE staining was used to examine the brain histopathology, Nissl staining was used to assess the hippocampal lesions, and immunohistochemistry was used to detect the deposition of amyloid β-protein (Aβ). Results In vivo imaging showed that reporter fluorescence was detected in the brains of rats in both experimental and virus control groups. Fluorescence quantitative PCR showed that the expression level of the APP gene was significantly increased in the brains of rats in the experimental group (P<0.01). Novel object recognition test revealed that the recognition memory of rats in the experimental group was significantly reduced compared with that of the blank control group (P<0.01). Six months after recombinant AAV virus infection, HE staining and Nissl staining of brain tissues showed that the number of neurons and Nissl bodies in the CA1 region of the hippocampus in the experimental group was reduced and disorganized; immuno-histochemistry testing of the CA1 region of the hippocampus and the pyramidal cell layer of the experimental group revealed prominent brown deposits, indicating Aβ protein deposition. Conclusion The rat model successfully established by stereotaxic injection and AAV-mediated delivery of human triple mutant APP gene exhibits typical AD features, providing a valuable animal model for studying AD pathology and developing drug therapies targeting Aβ protein deposition.

Objective To establish a rat model of Alzheimer's disease (AD) expressing human triple mutant amyloid precursor protein (APP) in the hippocampus, and to provide a model for the study of disease mechanisms and drug development. Methods Twenty-four 12-week-old SPF-grade female SD rats were randomly divided into a blank control group, a virus control group and an experimental group, with eight rats in each group; among them, the experimental group received a stereotaxic injection of adeno-associated virus (AAV) carrying the human triple mutant APP and NanoLuc luciferase genes into the hippocampus. In vivo imaging was used to observe viral expression in the brains of rats in each group, the novel object recognition test was used to assess the recognition memory of the rats in each group, real-time fluorescent quantitative PCR was used to detect the expression level of the APP gene, HE staining was used to examine the brain histopathology, Nissl staining was used to assess the hippocampal lesions, and immunohistochemistry was used to detect the deposition of amyloid β-protein (Aβ). Results In vivo imaging showed that reporter fluorescence was detected in the brains of rats in both experimental and virus control groups. Fluorescence quantitative PCR showed that the expression level of the APP gene was significantly increased in the brains of rats in the experimental group (P<0.01). Novel object recognition test revealed that the recognition memory of rats in the experimental group was significantly reduced compared with that of the blank control group (P<0.01). Six months after recombinant AAV virus infection, HE staining and Nissl staining of brain tissues showed that the number of neurons and Nissl bodies in the CA1 region of the hippocampus in the experimental group was reduced and disorganized; immuno-histochemistry testing of the CA1 region of the hippocampus and the pyramidal cell layer of the experimental group revealed prominent brown deposits, indicating Aβ protein deposition. Conclusion The rat model successfully established by stereotaxic injection and AAV-mediated delivery of human triple mutant APP gene exhibits typical AD features, providing a valuable animal model for studying AD pathology and developing drug therapies targeting Aβ protein deposition.

ObjectiveTo explore the efficacy-driving mechanism of Danhong injection （DHI） in the treatment of stable angina pectoris （SAP） based on the composition-activity relationship of target modules and clarify the pharmacological effects of DHI. MethodAccording to the angina frequency （AF） in the Seattle Angina Questionnaire （SAQ） that was obtained in the previous clinical trial， the patients before and after DHI treatment were grouped based on efficacy. The transcriptomic data of the patients before treatment and in the best efficacy group 30 days post-treatment were selected as the data source， and then weighted gene co-expression network analysis （WGCNA） was employed to construct the co-expression network. Relevant modules in the network were identified and associated with clinical features. In addition， the On-modules （Z value below 0） were identified by Zsummary. The topological indicators such as density， centrality， and clustering coefficient were adopted to explore the dynamics of DHI efficacy at the network level and module level， respectively. In addition， the driver genes were screened by the personalized network control （PNC） algorithm. Finally， rat H9C2 cells were used to establish the model of hypoxia/reoxygenation （H/R）， which was used to confirm the potential therapeutic target of DHI for SAP and provide a scientific basis for revealing the therapeutic mechanism of DHI. ResultWe identified 19 modules in the best efficacy group of DHI for SAP， and the comparison between day 0 and day 30 revealed 12 On-modules. The changes of network topological indicators at the network and module levels confirmed the correlation between the best efficacy of DHI treatment and topological dynamics. Finally， the driver genes， Klotho and fibroblast growth factor 22 （FGF22）， in DHI treatment of SAP were verified by the H9C2 cell model of H/R. ConclusionBased on clinical transcriptome data， this study determined the composition-activity relationship of target modules of DHI for SAP， which provided a scientific basis for deciphering the efficacy-driven mechanism of DHI for SAP.

Objective: To explore the combined effect of health literacy and nonsuicidal selfinjury on suiciderelated behaviors in junior middle school students, so as to provide reference for suicide prevention. Methods: During May to June 2023, a selffilling questionnaire survey was conducted among 7 367 junior middle school students selected by the methods of multistage stratified cluster sampling combined with conventient sampling in Chongqing. And a binary Logistic regression model was established to analyze the association of health literacy and NSSI with suiciderelated behaviors. Results: The detection rates of suicidal ideation, suicide planning, and suicide attempt among junior middle school students were 27.99%, 9.84%, and 4.64%, and the detection rate of NSSI was 38.03%, the rates of possessing total health literacy, functional health literacy, interactive health literacy, and critical health literacy were 62.68%, 66.51%, 54.24%, and 72.65%, respectively. Binary Logistic regression analyses showed that the absence of total health literacy and the three dimensions of health literacy and NSSI were positively correlated with suicidal ideation, suicide planning, and suicide attempt in junior middle school students (OR=1.42-10.30), and there were combined effects (OR=7.43-18.71) (P<0.05). Conclusions Lack of health literacy or the presence of NSSI and their coexistence increase the risk of suiciderelated behaviors, and health literacy level should be improved in junior middle school students to reduce NSSI and thereby prevent suiciderelated behaviors.

Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.

Objective To observe the relationship between functional connectivity(FC)of frontoparietal network(FPN)and cognitive function in patients with cerebral small vessel disease(CSVD)using resting-state functional MRI(rs-fMRI).Methods rs-fMRI of 50 CSVD patients with cognitive impairment(CI group),65 CSVD patients with normal cognition(NC group)and 60 healthy controls(HC group),as well as outcomes of neuropsychological tests were retrospectively analyzed.Brain regions with different FC of FPN were compared among 3 groups and between each 2 groups.Partial correlation analysis was used to evaluate the correlations of FC of brain regions value being statistically different between CI and NC groups and cognitive scores.Results Significant differences of FC in bilateral cingulate gyrus,left middle frontal gyrus,right supramarginal gyrus,right inferior parietal lobule and right medial superior frontal gyrus were found among groups(FWE correction,all P＜0.05).Compared with NC group,FC of left cingulate gyrus decreased,of right inferior frontal gyrus and right medial superior frontal gyrus increased in CI group(FWE correction,all P＜0.05).The decreased FC value of left cingulate gyrus was negatively correlated with clock drawing test score in CSVD patients(r=-0.159,P=0.049).Conclusion CSVD patients with or without CI had extensive abnormal FC of FPN,and the left cingulate gyrus was associated with patient's cognitive function.

BACKGROUND: Neuroendocrine neoplasms (NENs) are rare tumors characterized by variable biology and delayed diagnosis. However, the nationwide epidemiology of NENs has never been reported in China. We aimed to estimate the incidence and survival statistics of NENs in China, in comparison to those in the United States during the same period. METHODS: Based on the data from 246 population-based cancer registries covering 272.5 million people of China, we calculated age-specific incidence on NENs in 2017 and multiplied by corresponding national population to estimate the nationwide incidence in China. The data of 22 population-based cancer registries were used to estimate the trends of NENs incidence from 2000 to 2017 through the Joinpoint regression model. We used the cohort approach to analyze the 5-year age-standardized relative survival by sex, age group, and urban-rural area between 2008 and 2013, based on data from 176 high-quality cancer registries. We used data from the Surveillance, Epidemiology, and End Results (SEER) 18 program to estimate the comparable incidence and survival of NENs in the United States. RESULTS: The overall age-standardized rate (ASR) of NENs incidence was lower in China (1.14 per 100,000) than in the United States (6.26 per 100,000). The most common primary sites were lungs, pancreas, stomach, and rectum in China. The ASRs of NENs incidence increased by 9.8% and 3.6% per year in China and the United States, respectively. The overall 5-year relative survival in China (36.2%) was lower than in the United States (63.9%). The 5-year relative survival was higher for female patients than male patients, and was higher in urban areas than in rural areas. CONCLUSIONS The disparities in burden of NENs persist across sex, area, age group, and site in China and the United States. These findings may provide a scientific basis on prevention and control of NENs in the two countries.
Humans ; Male ; Female ; United States/epidemiology* ; Incidence ; Neuroendocrine Tumors/pathology* ; Neoplasms/epidemiology* ; Registries ; Urban Population ; China/epidemiology*

Biology-guided radiotherapy (BgRT) is a novel technique of external beam radiotherapy, combining positron emission tomography-computed tomography (PET-CT) with a linear accelerator (LINAC). The key innovation is to utilize PET signals from tracers in tumor tissues for real-time tracking and guiding beamlets. Compared with a traditional LINAC system, a BgRT system is more complex in hardware design, software algorithm, system integration and clinical workflow. RefleXion Medical has developed the world's first BgRT system. Nevertheless, its actively advertised function, PET-guided radiotherapy, is still in the research and development phase. In this review study, we presented a number of issues related to BgRT, including its technical advantages and potential challenges.
Positron Emission Tomography Computed Tomography ; Radiotherapy Planning, Computer-Assisted/methods* ; Algorithms ; Particle Accelerators ; Biology ; Radiotherapy, Image-Guided/methods* ; Radiotherapy Dosage

Objective To investigate the safety and efficacy of photodynamic therapy (PDT) for malignant obstruction of the biliary tract. Methods We retrospectively analyzed the clinical data of patients with malignant biliary obstruction treated by PDT in our medical center. On the basis of different treatment plans, the patients were categorized into the photodynamic only group and the combined treatment group, in which additional interventional operations, targeted therapy, or immunotherapy were arranged. The alterations in liver function, duration of biliary patency, and postoperative complications that occurred within one month were closely monitored in both groups. Results A total number of 19 patients were enrolled in this study. The technical success rate of PDT was 100%. The deterioration of liver function was not observed in any patients within one month after PDT. Within a maximum of 17.7 months follow-up, the patency rates of the biliary tract were 100.0%, 89.5%, 72%, and 64% at 1, 3, 6, and 12 months after the procedure, respectively. The mean biliary patency time was 6.9±0.8 months (95%CI: 5.2-8.7 months). Specifically, the biliary patency times for Bismuth type Ⅲ and Ⅳ were 7.5±1.1 and 6.1±1.3 months, respectively. The biliary patency time was around 3.3±0.7 months in the photodynamic only group and 7.9±0.9 months in the combined treatment group (P=0.017). Conclusion PDT for Bismuth Ⅲ-Ⅳ malignant biliary obstruction is safe and effective. Moreover, the period of biliary patency is greatly extended when PDT is combined with systemic therapy.

Background Aedes albopictus is the dominant mosquito species in residential areas in Shanghai. There are many types of small containers with accumulated water in residential areas, providing a large number of breeding environments for Aedes alpopicuts and leading to an increasing transmission risk of mosquito-borne diseases. Objective To use random forest to predict breeding of Aedes mosquitoes in small aquatic container habitat in two concentrated reconstruction communities of rural areas in Shanghai, and to understand associated influence of environmental factors on the breeding of Aedes mosquitoes in the process of urbanization.Methods Small-scale habitat surveys of Aedes mosquitoes were carried out in two suburb concentrated reconstruction communities (Community A and B) in Shanghai, and the environment where the habitat was located was recorded and analyzed in both communities. The habitat where eggs, larvae, or pupae were found was recorded as positive. Spatial weight matrix was applied on a household basis, and global Moran's I index was used to carry out spatial autocorrelation analysis on the small-scale habitat and positive habitat in the environment of the two communities. When Moran's I is greater than 0, it means that the data present a positive spatial correlation; when Moran's I is less than 0, it means that the data are spatially negatively correlated; when Moran's I is 0, the spatial distribution is random. Combining the results of P and Z values, we explored the spatial distribution characteristics of small-scale habitat and positive habitat in the community environment. Random forest algorithm in machine learning was used to classify and sort environmental-related factors, and predict the breeding of Aedes mosquitoes in small aquatic habitat; receiver operating characteristic (ROC) curve was used to carry out model fitting evaluation. Results The environmental factors including building location (χ²=23.35, P<0.001), open space (χ²=8.83, P=0.003), and having trees (χ²=11.02, P=0.001) had a significant impact on the positive rate of small-scale habitat. The results of spatial characteristics analysis showed that the global Moran's I index of small-scale habitat was −0.092 (Z=−1.09, P=0.274) in Community A and 0.034 (Z=0.52, P=0.602) in Community B, and the global Moran's I index of positive habitat was −0.092 (Z=−1.14, P=0.255) in Community A and 0.070 (Z=0.95, P=0.342) in Community B. Since the P values of Community A and B were greater than 0.1 and the Z values were between −1.65 and 1.65, for both small-scale habitat and positive habitat the spatial characteristics were randomly distributed and no significant spatial aggregation was found. In the fitted random forest algorithm classification prediction model with the top 10 characteristic factors of importance, the area under curve (AUC) value was 0.95, and the prediction fitting effect was satisfactory. The results of classification and sorting indicated that counts of household small-scale habitat and positive habitat were the most important factors for breeding. Conclusion The random forest model constructed by environmental factor indicators can be used to predict the breeding situation of Aedes mosquitoes in small-scale aquatic habitat, and provide a basis for scientific prevention and control of mosquito breeding for the target area.