Objective: To understand the awareness of chikungunya fever knowledge and its related factors among medical college students in Baise City, so as to provide a scientific basis to offer relevant courses and special education. Methods: From July to August 2025, 7 286 enrolled medical students were selected by a sampling method from a medical college in Baise City to participate in the questionnaire survey. The questionnaire covered epidemiological characteristics, clinical symptoms, and prevention/control knowledge of chikungunya fever. Statistical analyses including the Chi quare test and multivariate Logistic regression models were performed. Results: The overall awareness rate of chikungunya fever knowledge among the medical students was 18.89%. Among the knowledge items, the awareness rate of "the high incidence season" was the highest (84.05%), while that of "the infectious period" was the lowest (17.80%). Multivariate Logistic regression analysis showed that medical students with female (a OR= 1.37 , 95%CI =1.20- 1.57 ), the age for over 25 years old (a OR=1.76, 95%CI =1.05-2.93), whose father had a middle school educational level (a OR=1.18, 95%CI =1.05-1.31), and majored in preventive medicine (a OR=1.54, 95%CI =1.10-1.67) had relatively higher awareness rates of chikungunya fever knowledge (all P <0.05). In contrast, students of Zhuang ethnicity (a OR= 0.87 , 95%CI =0.76-0.98) and majoring in nursing (a OR=0.74, 95%CI =0.61-0.91) or pharmacy (a OR=0.70, 95%CI =0.52-0.95) had relatively lower awareness rates (all P <0.05). Conclusions The awareness rate of chikungunya fever related knowledge among medical college students in Baise City is relatively low. Schools should take targeted publicity measures to improve medical students awareness.

OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Purpose: Due to the preservation of the entire stomach after endoscopic resection, the occurrence of metachronous gastric cancer (MGC) remains a possibility. In this study, we investigated the incidence and risk factors for MGC in patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) and successfully eradicatedHelicobacter pylori. Materials and Methods: A retrospective analysis was conducted of 1,191 patients who underwent ESD and successfully eradicated H. pylori at the Affiliated Drum Tower Hospital of Nanjing University. Endoscopic surveillance was performed at 3, 6, and 12 months post-resection, and annually thereafter. MGC was defined as the development of a new cancer at a site other than the primary gastric cancer site, at least 1 year after the initial endoscopic resection. Results: A total of 77 patients were diagnosed with MGC during a median follow-up of 41.5 months. Kaplan-Meier analysis showed a 5-year cumulative incidence of MGC of 9.4% after successful H. pylori eradication. Multivariate analysis of the training set using Cox proportional hazards models identified male sex, severe atrophic gastritis, multiple gastric cancers before H. pylori eradication, and smoking history as independent risk factors for MGC.The nomogram exhibited favorable discrimination, with area under the curves of 0.767 and 0.822 in the training set and 0.724 and 0.745 in the testing set at 3 and 5 years, respectively. Conclusions Patients with gastric cancer who undergo endoscopic resection, even after successful H. pylori eradication, should undergo annual and continuous endoscopic surveillance for MGC.

Biohybrid robots are hybrid systems that deeply integrate living biological components （such as cells, tissues, organs, or microorganisms） with artificial synthetic components （including sensors, actuators, control systems, and structural materials）. Focusing on key advancements in cellular/microbial-level and tissue-level biohybrid robots, the applications in two major scenarios: targeted drug delivery in vivo and drug evaluation in vitro were reviewed. International research progress demonstrated that biohybrid robots offered novel solutions for overcoming deep tissue delivery barriers, enhancing biocompatibility, and enabling real-time monitoring. However, their clinical translation still faced critical challenges, including reproducibility, in vivo/in vitro nutrient supply, encapsulation technologies, and safety regulatory frameworks.

Objective: To identify the core symptoms and bridge symptoms in the network structure among adolescents bullying victimization, anxiety and depressive symptoms, and to explore the interrelationships among these three variables, so as to provide a basis for the precise prevention of bullying behaviors and the improvement of adolescents psychological health conditions. Methods: From October to November 2023, a stratified cluster random sampling method was employed to select 4 759 middle and high school students from four cities in Guangxi: Beihai, Guigang, Hechi, and Laibin. The Chinese version of the Olweus Bully/Victim Questionnaire (OBVQ) was used to assess bullying victimization among adolescents, while the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were utilized to assess anxiety and depressive symptoms, respectively. The Bootnet package (version 1.6) in R software (version 4.4.1) was used to construct a network structure and analyze the associations between bullying victimization, anxiety symptoms and depressive symptoms among adolescents. Results: The reporting rates of depressive symptoms, anxiety symptoms, and bullying victimization among adolescents in Guangxi were 24.67%, 16.33%, and 16.58%, respectively. Network analysis revealed that the node with the highest expected influence was "property being taken or damaged", with a standardized expected influence (EI) index of 2.09. The top two nodes in terms of bridge expected influence were "thoughts of self harm or suicide" and "irritability", with standardized bridge expected influence (BEI) indices of 2.15 and 1.27, respectively. The stronger associations were observed between the node "property being taken or damaged" and the nodes "physical attacks such as hitting, kicking, pushing, or shoving" and "ridiculed due to accent", with edge weights of 0.43 and 0.35, respectively. Conclusion Targeting preventive measures against the symptoms with the highest expected influence and bridge expected influence in the network of bullying victimization, anxiety and depressive symptoms among adolescents may be an effective approach to reduce the negative impact of bullying victimization, anxiety and depressive symptoms on adolescents.

Objective To analyze the epidemiological and pathogenic characteristics of acute respiratory in-fection in Yangpu District of Shanghai,and to provide scientific basis for the prevention and treatment of re-spiratory tract infection.Methods A total of 1 062 patients diagnosed with acute respiratory infection in the hospital from June 2023 to June 2024 were selected as the research objects.The nucleic acid of 13 pathogens in nasopharyngeal swabs of patients was detected and the positive rate was calculated.The positive rate of differ-ent age groups and seasons was analyzed.Results Among 1 062 patients,716 cases were detected positive,the total positive rate was 67.42%,of which 577 cases were single infection,the positive rate was 54.33%.The top five positive pathogens were Mycoplasma pneumoniae(MP,16.48%),human coronavirus(HCOV,9.42%),human rhinovirus(HRV,7.63%),human metapneumovirus(HMPV,5.46%)and parainfluenza vi-rus(HPIV,3.39%).A total of 139 cases were infected with multiple pathogens,with a positive rate of 13.09%.MP,HRV,and HCOV were the dominant pathogens,which were prone to multiple infections.A to-tal of 139 cases were infected with multiple pathogens,with a positive rate of 13.09%.MP,HRV,and HCOV were the dominant pathogens,which were prone to multiple infections.The total positive rate of respiratory pathogens in children was 86.38%,the positive rates of single infection and multiple infection were 65.12%and 21.26%,respectively,which were significantly higher than those in other age groups(P<0.05).Among the 577 children with single infection,MP and HRV were the main pathogens in children,MP and HCOV were the main pathogens in young and middle-aged patients,and HCOV and HRV were the main pathogens in the elderly patients.The total positive rate of pathogens was the highest in winter(69.88%),and the lowest in summer(49.54%).HRV had the highest positive rate in spring,HCOV had the highest positive rate in summer,MP had the highest positive rate in autumn,and influenza virus(including influenza A virus,influen-za A/H3N2 virus,influenza B virus)had the highest positive rate in winter(P<0.05).Conclusion MP,HCOV,HRV,HMPV and HPIV are the top five pathogens of acute respiratory tract infection in Yangpu dis-trict of Shanghai.The etiological characteristics were related to age and seasonality of patients.

OBJECTIVE: To explore the therapeutic effects and underlying mechanisms of Dendrobium officinale (Tiepi Shihu) extract (DOE) on insomnia. METHODS: Forty-two male Sprague-Dawley rats were randomly divided into 6 groups (n=7 per group): normal control, model control, melatonin (MT, 40 mg/kg), and 3-dose DOE (0.25, 0.50, and 1.00 g/kg) groups. Rats were raised in a strong-light (10,000 LUX) and -noise (>80 db) environment (12 h/d) for 16 weeks to induce insomnia, and from week 10 to week 16, MT and DOE were correspondingly administered to rats. The behavior tests including sodium pentobarbital-induced sleep experiment, sucrose preference test, and autonomous activity test were used to evaluate changes in sleep and emotions of rats. The metabolic-related indicators such as blood pressure, blood viscosity, blood glucose, and uric acid in rats were measured. The pathological changes in the cornu ammonis 1 (CA1) region of rat brain were evaluated using hematoxylin and eosin staining and Nissl staining. Additionally, the sleep-related factors gamma-aminobutyric acid (GABA), glutamate (GA), 5-hydroxytryptamine (5-HT), and interleukin-6 (IL-6) were measured using enzyme linked immunosorbent assay. Finally, we screened potential sleep-improving receptors of DOE using polymerase chain reaction (PCR) array and validated the results with quantitative PCR and immunohistochemistry. RESULTS: DOE significantly improved rats' sleep and mood, increased the sodium pentobarbital-induced sleep time and sucrose preference index, and reduced autonomic activity times (P<0.05 or P<0.01). DOE also had a good effect on metabolic abnormalities, significantly reducing triglyceride, blood glucose, blood pressure, and blood viscosity indicators (P<0.05 or P<0.01). DOE significantly increased the GABA content in hippocampus and reduced the GA/GABA ratio and IL-6 level (P<0.05 or P<0.01). In addition, DOE improved the pathological changes such as the disorder of cell arrangement in the hippocampus and the decrease of Nissel bodies. Seven differential genes were screened by PCR array, and the GABA_A receptors (Gabra5, Gabra6, Gabrq) were selected for verification. The results showed that DOE could up-regulate their expressions (P<0.05 or P<0.01). CONCLUSION DOE demonstrated remarkable potential for improving insomnia, which may be through regulating GABA_A receptors expressions and GA/GABA ratio.
Animals ; Dendrobium/chemistry* ; Rats, Sprague-Dawley ; Male ; Sleep Initiation and Maintenance Disorders/blood* ; Plant Extracts/therapeutic use* ; Receptors, GABA-A/metabolism* ; Noise/adverse effects* ; Light/adverse effects* ; gamma-Aminobutyric Acid/metabolism* ; Sleep/drug effects* ; Rats ; Receptors, GABA/metabolism*

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective:To understand the etiological surveillance and drug resistance characteristics of Legionella pneumophila (LP) from the aqueous environment of public places in Shanghai, from 2011 to 2020, and provide evidence for surveillance of the disease. Methods:Environmental water samples were systematically collected from public venues in urban and suburban districts of Shanghai for LP surveillance. All the identified LP isolates underwent a series of testings including serotyping, pulsed field gel electrophoresis (PFGE), sequence-based typing, and antimicrobial susceptibility testing. χ2 test or Cochran-Armitage trend tests were used for statistical analysis and for temporal resistance patterns. Results:Among 6 263 water samples, the LP-positive rate was 20.93% (1 311/6 263). The positivity rate decreased from 24.98% (287/1 149) in 2011-2012 to 20.02% (1 024/5 114) in 2013-2020 ( χ2=13.92, P<0.001), with the highest monthly positivity observed from June to August (23.79%, 745/3 132). A total of 1 365 LP strains were isolated, of which 912 were further characterized, including 10 serotypes, 149 PFGE patterns, and 33 sequence types (ST). The predominant serotype was Lp1 (86.84%, 792/912), and the dominant ST was ST752 (29.50%, 269/912). ST clustering revealed two major clonal groups CG1 and CG2, accounting for 91.12% (831/912) of the isolates. The 190 LPs involved in the drug sensitivity test showed three resistance profiles: azithromycin resistance (31.05%, 59/190), ciprofloxacin resistance (0.53%, 1/190) and azithromycin+ciprofloxacin resistance (0.53%, 1/190). Azithromycin-resistant strains were predominantly ST1 (64.41%, 38/59). The antimicrobial resistance rate showed a significant decline, from 48.65% (18/37) in 2011-2012 to 28.10% (43/153) in 2013-2020 ( χ2=9.38, P=0.002). Conclusions:Compared to from 2011 to 2012, both the positivity rate and antimicrobial resistance prevalence of LP in public aqueous environments of Shanghai exhibited an overall decline from 2013 to 2020. The predominant types of LP were serotype Lp1 and sequence type ST752, with notable high-level resistance to azithromycin. Measures as enhancing the enforcement of water safety regulations and prioritizing surveillance of azithromycin resistance in LP were recommended to mitigate public health risks.