BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

Background As a traditional labor-intensive industry, the wooden furniture manufacturing sector has been facing significant occupational health hazards, notably noise exposure. Objective To understand the current status of occupational health management and workplace noise monitoring in the wooden furniture manufacturing industry in Foshan City of Guangzhou Province over the past five years (2020−2024), to clarify the exposure level of occupational noise hazards in this industry, the implementation of prevention and control measures, and their dynamic changing trends, and to provid a reference basis for formulating and optimizing targeted occupational health supervision strategies. Methods By judgment sampling method, 381 wooden furniture manufacturing enterprises in Foshan City from 2020 to 2024 were selected. Through document review, on-site investigation, and on-site testing, the basic information of the enterprise, key indicators of occupational health management (declaration of projects with occupational disease hazards, occupational health training, the setting and effect of occupational disease prevention facilities, the allocation and use of personal protective equipment, occupational health examinations, etc.) and monitoring data of noise intensity in the workplace were systematically collected. Descriptive statistical analysis was adopted to present the characteristics of enterprises and various indicators, and trend tests were used for dynamic changes of occupational health management indicators and noise intensity monitoring results between each year. Results Among the 381 enterprises, small and micro enterprises accounted for 94.0% (358/381), the overall occupational hazard exposure rate of workers was 56.7% (15199/26798), and the noise exposure rate was 45.6% (12221/26798). The report rate of projects with occupational disease hazards was 100%, the occupational health training rate of exposed workers was 69.6%, the setting rate and effectiveness rate of noise prevention facilities were 24.9% and 95.8% respectively, the distribution rate and effective wearing rate of noise protection earplugs/earmuffs were 77.6% and 87.1% respectively, and the rate of occupational health examinations for noise-exposed workers and the abnormal rate were 55.4% and 2.5% respectively. The trend analysis results showed that the rates of occupational health training, setting and effectiveness of noise prevention facilities, distribution and effective wearing of noise protection earplugs/earmuffs, occupational health examinations for noise-exposed workers, and abnormal health examination results all showed an overall upward trend (P values were all<0.05). The proportion of workplace noise intensity greater than 85 dB(A) and the rate of noise exceeding standards at work positions both showed an overall upward trend (P values were both<0.01). Conclusion During the period from 2020 to 2024, the occupational health management in the wooden furniture manufacturing industry in Foshan City has achieved certain positive progress, particularly in areas such as the installation of protective facilities, the use of personal protective equipment, and the implementation of occupational health examinations. However, workplace noise hazards have not been effectively controlled. Moving forward, regulatory efforts must consolidate existing management achievements while strengthening mandatory requirements and support for the technical transformation of high-noise processes and the widespread adoption of noise reduction facilities. This approach is essential to fundamentally curb occupational noise hazards.

Objective To explore the value of preoperative ultrasound examination in the prediction of restenosis of arteriovenous fistula(AVF)after percutaneous transluminal angioplasty(PTA)in hemodialysis patients.Methods A case-control trial was conducted on 225 hemodialysis patients who undergoing PTA due to AVF in our hospital January 2023 to May 2024.After 3 months of follow-up,they were divided into a patency group(n=204)and a restenosis group(n=21)according to the occurrence of postoperative restenosis.The preoperative clinical data and ultrasound parameters were compared between the groups.Binary logistic regression analysis was used to identify the independent factors for AVF restenosis after PTA.Receiver operating characteristic(ROC)curve was drawn to evaluate the value of preoperative stenosis length in the prediction of the restenosis after PTA.Results There were significant differences in preoperative internal diameter at the site of stenosis,stenosis length,stenosis number,intimal thickness,and brachial artery flow between the 2 groups(P<0.05).Preoperative stenosis length(OR=1.856,95%CI:1.350～2.552,P<0.001)was an independent factor of AVF restenosis in hemodialysis patients after PTA.ROC curve analysis showed that the area under the curve of preoperative stenosis length in predicting restenosis after PTA was 0.868(95%CI:0.784～0.953,P<0.001),with a sensibility and specificity of 85.7%and 80.4%,respectively.Conclusion Preoperative stenosis length may be an independent factor for AVF restenosis after PTA in hemodialysis patients.

Ovarian immature teratoma is a relatively rare malignant ovarian tumor that predominantly occurs in children, adolescents, and young adults. In clinical diagnosis and treatment, tumor marker detection and imaging examinations serve as crucial bases for differentiating mature and immature terotomas. A comprehensive preoperative evaluation followed by the selection of an appropriate surgical approach and extent is key to improving prognosis. Some studies have indicated that for stage Ⅰ ovarian immature teratoma, avoiding adjuvant chemotherapy under close follow-up does not increase the risk of recurrence or affect long-term survival of patients; however, for advanced-stage ovarian immature teratoma, standardized postoperative chemotherapy is still recommended. Some patients may experience benign-malignant transformation of malignant germ cell components after surgery, such as growing teratoma syndrome or squamous cell carcinoma transformation. Due to the rarity of ovarian immature teratoma, current understanding of its pathogenesis and clinical management remains limited. This paper provides a review focusing on key clinical issues related to ovarian immature teratoma and proposes corresponding diagnostic and therapeutic recommendations, aiming to offer references for promoting multidisciplinary collaboration and individualized treatment.

Objective To design and synthesize novel Hsp90 inhibitors with dual functions of synergistically enhancing the antifungal activity of fluconazole （FLC） against drug-resistant fungi and anti-tumor activity based on the Hsp90 inhibitor Ganetespib. Methods The previous research found that Ganetespib had a good synergistic anti-resistant fungal activity with FLC, with a fractional inhibitory concentration index （FICI） of 0.023 to 0.039. In this study, structural modifications were made to Ganetespib by replacing its indole ring with a phenyl ring containing different substituents to design and synthesize a series of new compounds. The in vitro synergistic anti-resistant fungal activity against C. albicans 0304103 in combination with FLC, anti-tumor activity （against HEL, HL60 and A549 cells）, and Hsp90α inhibition activity were determined to explore their structure-activity relationship and mechanism of action. Results The chemical structures of 19 new compounds were confirmed by ¹H NMR, ¹³C NMR and HRMS. Most of the compounds exhibited strong Hsp90α inhibitory activity, good synergistic activity against drug-resistant fungi in combination with FLC and anti-tumor activity. The substitution of electron-donating groups on the benzene ring was beneficial to enhancing the synergistic activity against drug-resistant fungi in combination with FLC. Among them, compounds F3 and F5 showed excellent synergistic activity against drug-resistant fungi in combination with FLC （FICI were both 0.047） and anti-tumor activity （IC₅₀ were 0.025 to 0.15 μmol/L and 0.021 to 0.23 μmol/L respectively）, and could down-regulate the expression levels of drug resistance genes and efflux pump genes in fungi, inhibit the formation of fungal biofilms, and arrest the cell cycle of HEL cells at G0/G1 phase. Conclusion The novel Hsp90 inhibitors such as F3 and F5 could both effectively exert the dual activities of synergizing with FLC to combat drug-resistant fungi and fight against tumors, which provided a new idea for the development of new drugs with dual functions of synergizing with FLC to combat drug-resistant fungi and fight against tumors.

Based on the interleukin-17(IL-17) signaling pathway, this study explores the effect and mechanism of Bufei Decoction on Klebsiella pneumoniae pneumonia in rats. SD rats were randomly divided into the control group, model group, Bufei Decoction low-dose group(6.68 g·kg~(-1)·d~(-1)), Bufei Decoction high-dose group(13.36 g·kg~(-1)·d~(-1)), and dexamethasone group(1.04 mg·kg~(-1)·d~(-1)), with 10 rats in each group. A pneumonia model was established by tracheal drip injection of K. pneumoniae. After successful model establishment, the improvement in lung tissue damage was observed following drug administration. Core targets and signaling pathways were screened using transcriptomics techniques. Real-time fluorescence quantitative polymerase chain reaction was used to detect the mRNA expression of core targets interleukin-6(IL-6), interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), and chemokine CXC ligand 6(CXCL6). Western blot was used to assess key proteins in the IL-17 signaling pathway, including interleukin-17A(IL-17A), nuclear transcription factor-κB activator 1(Act1), tumor necrosis factor receptor-associated factor 6(TRAF6), and downstream phosphorylated p38 mitogen-activated protein kinase(p-p38 MAPK), and phosphorylated nuclear factor-κB p65(p-NF-κB p65). Apoptosis of lung tissue cells was detected by terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling(TUNEL). The results showed that, compared with the control group, the model group exhibited significant pathological damage in lung tissue. The mRNA expression of IL-6, IL-1β, TNF-α, and CXCL6, as well as the protein levels of IL-17A, Act1, TRAF6, p-p38 MAPK/p38 MAPK, and p-NF-κB p65/NF-κB p65, were significantly increased, and the number of apoptotic cells was notably higher, indicating successful model establishment. Compared with the model group, both low-and high-dose groups of Bufei Decoction showed reduced pathological damage in lung tissue. The mRNA expression levels of IL-6, IL-1β, TNF-α, and CXCL6, and the protein levels of IL-17A, Act1, TRAF6, p-p38 MAPK/p38 MAPK, and p-NF-κB p65/NF-κB p65, were significantly decreased, with a significant reduction in apoptotic cells in the high-dose group. In conclusion, Bufei Decoction can effectively improve lung tissue damage and reduce inflammation in rats with K. pneumoniae. The mechanism may involve the regulation of the IL-17 signaling pathway and the reduction of apoptosis.
Animals ; Interleukin-17/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Signal Transduction/drug effects* ; Rats ; Male ; Klebsiella pneumoniae/physiology* ; Klebsiella Infections/immunology* ; Humans ; Lung/drug effects*

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide, causing dementia and affecting millions of individuals. One prominent characteristic in the brains of AD patients is glucose hypometabolism. In the context of galactose metabolism, intracellular glucose levels are heightened. Galactose mutarotase (GALM) plays a crucial role in maintaining normal galactose metabolism by catalyzing the conversion of β-D-galactose into α-D-galactose (α-D-G). The latter is then converted into glucose-6-phosphate, improving glucose metabolism levels. However, the involvement of GALM in AD progression is still unclear. In the present study, we found that the expression of GALM was significantly increased in AD patients and model mice. Genetic knockdown of GALM using adeno-associated virus did not change the expression of amyloid precursor protein (APP) and APP-cleaving enzymes including a disintegrin and metalloprotease 10 (ADAM10), β-site APP-cleaving enzyme 1 (BACE1), and presenilin-1 (PS1). Interestingly, genetic overexpression of GALM reduced APP and Aβ deposition by increasing the maturation of ADAM10, although it did not alter the expression of BACE1 and PS1. Further electrophysiological and behavioral experiments showed that GALM overexpression significantly ameliorated the deficits in hippocampal CA1 long-term potentiation (LTP) and spatial learning and memory in AD model mice. Importantly, direct α-D-G (20 mg/kg, i.p.) also inhibited Aβ deposition by increasing the maturation of ADAM10, thereby improving hippocampal CA1 LTP and spatial learning and memory in AD model mice. Taken together, our results indicate that GALM shifts APP processing towards α-cleavage, preventing Aβ generation by increasing the level of mature ADAM10. These findings indicate that GALM may be a potential therapeutic target for AD, and α-D-G has the potential to be used as a dietary supplement for the prevention and treatment of AD.
Animals ; ADAM10 Protein/metabolism* ; Alzheimer Disease/pathology* ; Amyloid Precursor Protein Secretases/metabolism* ; Disease Models, Animal ; Humans ; Mice ; Amyloid beta-Peptides/metabolism* ; Male ; Mice, Transgenic ; Membrane Proteins/metabolism* ; Cognitive Dysfunction/pathology* ; Mice, Inbred C57BL ; Amyloid beta-Protein Precursor/metabolism* ; Female ; Hippocampus/metabolism* ; Long-Term Potentiation/physiology*

Based on commonly used acupoints in the clinical acupuncture treatment of functional dyspepsia （FD）， this study systematically analyzes the therapeutic differences and synergistic effects between local and distal point selection. It also examines the suitability of primary acupoint selection for different FD subtypes， postprandial distress syndrome （PDS） and epigastric pain syndrome （EPS）. The findings suggest that a combination of local and distal acupoints may be more appropriate as primary points for PDS， whereas local acupoints alone may be more suitable for EPS. Additionally， the study explores the impact of various factors， such as stimulation techniques， needling order， intensity or stimulation parameters， and depth， on the efficacy of acupuncture. It concludes that the intrinsic properties of acupoints are the primary determinants of therapeutic direction. Other factors mainly influence the magnitude rather than the direction of the effect. Future research may further investigate how different acupoint combinations， local versus distal， affect the treatment outcomes of FD subtypes， providing new insights for clinical acupuncture prescriptions.

Background: Healthcare-associated infections impose a significant burden on antibiotic usage, healthcare expenditures, and morbidity. Therefore, it is crucial to revise policies to minimize such losses. This nationwide survey aimed to evaluate infection prevention and control (IPC) components in healthcare facilities and encourage improvements in acute care hospitals with inadequate infection prevention settings. This study aims to enhance the infection control capabilities of healthcare facilities. Methods: From December 27, 2021, to May 13, 2022, we conducted a survey of 1,767 acute care hospitals in the Republic of Korea. A survey was conducted to evaluate the infection control components in 1,767 acute care hospitals. Infection control officers provided direct responses to a systematically developed questionnaire. Subsequently, 10% of the respondents were randomly selected for the site investigation. Results: Overall, 1,197 (67.7%) hospitals responded to the online survey. On-site investigations were conducted at 125 hospitals. Hospitals with ≥ 150 beds are advised to have an IPC team under Article 3 of the Medical Service Act; however, only 87.0% (598/687) of hospitals with ≥ 100 beds had one. Conversely, 22.7% (116/510) of hospitals with < 100 beds had an IPC team. Regulations for hand hygiene, waste management, healthcare worker protection and safety, environmental cleaning, standard precautions, and prevention of the transmission of multidrug-resistant pathogens were present in 84.2%, 80.1%, 77.4%, 76.2%, 75.8%, and 63.5% of the hospitals, respectively. Hospitals with < 100 beds had low availability of all categories of standard operating procedures. Conclusion This study is the first national survey of acute care hospitals in the Republic of Korea. The data presented in the current study will improve the understanding of IPC status and will help establish a survey system. Our survey provides a basis for improving policies related to IPC in healthcare facilities.