OBJECTIVE To construct an intelligent pharmaceutical Q&A platform for precision medication with low “artificial intelligence （AI） hallucination”， aiming to enhance the accuracy， consistency， and traceability of medication consultations. METHODS Medication package inserts were batch-processed and converted into structured data through Python programming to build a local pharmaceutical knowledge base. The retrieval and question-answering processes were designed based on large language models， and system integration and localized deployment were completed on Dify platform. By designing typical clinical medication questions and comparing the output of the intelligent pharmaceutical Q&A platform with the online version of DeepSeek across dimensions such as peak time retrieval， half-life， and dosage adjustment reasoning for patients with renal impairment， the accuracy and reliability of its retrieval and reasoning results were evaluated. RESULTS The intelligent pharmaceutical Q&A platform， constructed based on local drug package inserts， achieved 100% accuracy in retrieval and reasoning for peak time， half-life， and dosage adjustment schemes. In comparison， the online version of DeepSeek demonstrated accuracies of 30%（6/20）， 50%（10/20）， and 38%（23/60） across these three dimensions， respectively. CONCLUSIONS The constructed intelligent pharmaceutical Q&A platform is capable of accurately retrieving and extracting information from the local knowledge base based on clinical inquiries， thereby avoiding the occurrence of AI hallucinations and providing reliable medication decision support for healthcare professionals.

BACKGROUND:Increasing evidence supports the association between different exercise intensities and the risk of osteoarthritis,but this may be affected by confounding and reverse causality,and the conclusions have not been unified. OBJECTIVE:To explore the causal association between different exercise intensities and osteoarthritis using Mendelian randomization method. METHODS:Data from genome-wide association studies associated with different exercise intensities were selected,and instrumental variables were screened with a threshold of P＜5×10-8.Causal associations between exposure and risk of outcome were assessed using five analysis methods of Mendelian randomization with inverse variance weighting as the primary analysis method.Selected instrumental variables were used to assess causal associations between different exercise intensities and osteoarthritis,and sensitivity analyses with inverse Mendelian randomization were performed. RESULTS AND CONCLUSION:In the analysis results of the inverse variance weighting method,low-intensity exercise showed a significant protective effect on knee osteoarthritis[odds ratio(OR)=0.14,95%confidence interval(CI):0.06-0.32,P＜0.001],while sedentary behavior without exercise intensity,such as watching TV,was confirmed to be a risk factor for knee osteoarthritis and hip osteoarthritis(OR=2.24,95%CI:1.74-2.88,P＜0.001;OR=1.34,95%CI:1.01-1.78,P=0.04).Through the reverse Mendelian randomization analysis of osteoarthritis to different exercise intensities,it was found that osteoarthritis was negatively correlated with low-intensity exercise and positively correlated with watching TV.The analysis results show that there is a two-way causal relationship between different exercise intensity and osteoarthritis risk.

To introduce the general thinking, guidelines, work objectives and elaboration process of the general technical requirements adopted by volume Ⅳ of the Chinese Pharmacopoeia 2025 Edition, and to summarize and figure out the main characteristics on dosage forms, physico-chemical testing, microbial and biological testing, reference standards and guidelines The newly revised general chapters of pharmacopoeia give full play to the normative and guiding role of the Chinese Pharmacopoeia standard, track the frontier dynamics of international drug regulatory science and the elaboration of monographs, expand the application of state-of-the-art technologies, and steadily promote the harmonization and unification with the ICH guidelines； further enhance the overall capacity of TCM quality control, actively implement the 3 R principles on animal experiments, and practice the concept of environmental-friendly； replace and/or reduce the use of toxic and hazardous reagents, strengthen the requirements of drug safety control This paper aims to provide a full-view perspective for the comprehensive, correct understanding and accurate implementation of general technical requirements included in the Chinese Pharmacopoeia 2025 Edition.

Cationic liposomes,as non-viral vectors,are widely used in gene therapy and gene silencing.Although numerous cationic liposomes have various structures,they can all improve the per-formance of gene delivery.As gene therapy is increasingly studied,it may be foreseen that new cationic lipoplexes will be explored.In this review,we aim to discuss four constituent domains of cationic lipids(headgroup,hydrophobic domain,linker and helper lipids)in gene delivery.This article attempts to demonstrate that various lipid structures show different transfection efficiency and cytotoxicity by sum-marizing the similarities and differences between the four parts of cationic lipids.Furthermore,their major influencing factors are covered.Finally,three clinical cases of ionizable lipids are described to reveal their characteristics and differences from cationic lipids.This paper is intended to provide a conceptual framework for the design of cationic liposomes and for the selection of cationic lipids.

Objective:To screen ferroptosis genes related to prognosis of malignant pleural mesothelioma(MPM),explore the relationship between ferroptosis and tumor immune microenvironment and provide a new perspective for targeting and immunotherapy of MPM patients.Methods:The differentially expressed genes(DEGs)in MPM tumor group and normal group were analyzed in GEO database;intersection of DEGs and ferroptosis genes to obtain differentially expressed ferroptosis-related genes(DE-FRGs).GO,KEGG function enrichment and protein protein interaction(PPI)were used to identify the signal pathways mainly involved by DE-FRGs.The prognosis related ferroptosis genes were identified by univariate COX analysis.LASSO regression analysis was used to screen the best DE-FRGs for establishing the risk prediction model,and a risk prognosis model based on the best DE-FRGs was estab-lished by multivariate cox analysis to verify the prediction effect of the model.Finally,CIBERSORT and other algorithms were used to analyze tumor immune cell infiltration and evaluate immune microenvironment.Results:Twenty-four prognosis related DE-FRGs were screened,which were mainly concentrated in ferroptosis,transcriptional regulation and response to inorganic substances.A MPM risk prediction model based on five ferroptosis-related genes(ALDH3A2,CAV1,HRAS,CDCA3 and RRM2)was established and vali-dated.In the model,the proportion of CD8+T cells and macrophages in high-risk group were higher,while the proportion of B lympho-cytes was lower.In addition,PD-1,CTLA-4 and their ligands at immune checkpoint had higher expression status in high-risk group.Conclusion:The MPM risk prediction model based on five ferroptosis-related genes is established,and the immune status in the model is clarified.It provides a certain research basis for targeting and immunotherapy of MPM.The predictive ability of this model in MPM needs to be further verified in clinical practice to better predict disease stratification and treatment management.

Over the past 30 years,nano-drug delivery systems(NDDS)have become a promising field of drug research.However,a poor knowledge of the in vivo process of NDDS,the limited methods of pharmacokinetic correlation,and the inability to effectively provide strong support for the construction of upstream drug as well as the evaluation of downstream pharmacology and toxicology have become the technical bottleneck for their clinical transformation.Lipid nanodrug(LND)is the most successful NDDS for industrial transformation with great biocompatibility.Taking LND as an example,this paper reviewed the delivery process and influencing factors in vivo,and summarized the regulatory mecha-nism of biological environments on drug release in vivo.Based on advanced spectroscopy and mass spectrometry techniques,the spatial and temporal distribution of the dynamic carrier particle/depolymer-ized molecule ratio and dynamic free/encapsulated drug ratio of LND in biological matrix were ana-lyzed.Finally,the existing problems and future developments in this field were summarized to provide references for the analysis of NDDS in vivo,and stimulate readers'interest in nanomedical research and development.

Objective: Idiopathic intracranial hypertension (IIH) is a condition of unknown etiology associated with venous sinus stenosis. This study aimed to develop a magnetic resonance venography (MRV)-based radiomics model for predicting a high trans-stenotic pressure gradient (TPG) in IIH patients diagnosed with venous sinus stenosis. Materials and Methods: This retrospective study included 105 IIH patients (median age [interquartile range], 35 years [27– 42 years]; female:male, 82:23) who underwent MRV and catheter venography complemented by venous manometry. Contrast enhanced-MRV was conducted under 1.5 Tesla system, and the images were reconstructed using a standard algorithm. Shape features were derived from MRV images via the PyRadiomics package and selected by utilizing the least absolute shrinkage and selection operator (LASSO) method. A radiomics score for predicting high TPG (≥ 8 mmHg) in IIH patients was formulated using multivariable logistic regression; its discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC). A nomogram was constructed by incorporating the radiomics scores and clinical features. Results: Data from 105 patients were randomly divided into two distinct datasets for model training (n = 73; 50 and 23 with and without high TPG, respectively) and testing (n = 32; 22 and 10 with and without high TPG, respectively). Three informative shape features were identified in the training datasets: least axis length, sphericity, and maximum three-dimensional diameter.The radiomics score for predicting high TPG in IIH patients demonstrated an AUROC of 0.906 (95% confidence interval, 0.836– 0.976) in the training dataset and 0.877 (95% confidence interval, 0.755–0.999) in the test dataset. The nomogram showed good calibration. Conclusion Our study presents the feasibility of a novel model for predicting high TPG in IIH patients using radiomics analysis of noninvasive MRV-based shape features. This information may aid clinicians in identifying patients who may benefit from stenting.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Objective: To evaluate the caries preventive effect and economic outcome of an oral health promotion model in rural primary schools in Guangxi Zhuang Autonomous Region. Methods: In November 2015, a baseline survey was conducted on the caries prevalence of rural first graders in program areas, and then a program intervention was carried out on the first graders of target primary schools. The intervention methods included the distribution of oral health care products, oral health education, teacher training, etc. In 2020, the method of cluster random sampling was adopted to include the sixth graders who received the program intervention as first graders and were still available in 2020 as the intervention group. During this period, the sixth graders transferred from foreign schools who failed to receive the program intervention as first graders were included in the non-intervention group. The caries preventive effect was evaluated by analyzing the caries epidemiological data of 2 652 children aged 11-13 years, comparing the intervention and non-intervention group. The cost of the program was estimated by the structural analysis method. A decision tree model was established by TreeAge pro2019 and incorporated into the effect parameters and cost parameters for cost-effectiveness analysis and sensitivity analysis. Results : The prevalence of caries in the intervention group was 54.8%, and the mean DMFT was 1.36 ± 1.64, both of which were lower than those in the non-intervention group. The difference in prevalence and mean DMFT between the two groups was statistically significant (P < 0.05). It costs CNY 319.83 per child to reduce suffering from caries. The number of patients with caries in the intervention group was the most sensitive indicator of an economic effect. The probability of a cost-effectiveness advantage for the program was 92.2%. Conclusion This oral health promotion model used in rural schools demonstrated a caries preventive effect that was very likely economically advantageous. It is of practical significance to improve and promote this model in the Guangxi Zhuang Autonomous Region.

Background Macrophages are essential components of the natural immune system. They play a significant role in resisting foreign bodies in the respiratory tract and maintaining the homeostasis of the internal environment of lung tissue. Objective To investigate the mechanism of macrophage pyroptosis induced by silica dust with different particle sizes. Methods The modified murine macrophage cell line, RAW-ASC cells, was cultured and divided into a blank control group, a lipopolysaccharide (LPS) group (1 μg·mL⁻¹ LPS), a nano-SiO₂ group (1 μg·mL⁻¹ LPS+100 μg·mL⁻¹ nano-SiO₂), a micro-SiO₂ group (1 μg·mL⁻¹ LPS+750 μg·mL⁻¹ micro-SiO₂), and a positive control group [1 μg·mL⁻¹ LPS+3 mmol·L⁻¹ adenosine triphosphate (ATP)]. Apart from the blank control group, cells in other groups were pretreated with LPS for 6 h, and then exposed to SiO₂ or ATP for 4 h. According to the molecular target NOD-like receptor pyrin domain-containing protein 3 (NLRP3) and reactive oxygen species (ROS), we applied MCC950 (NLRP3 inhibitor) and N-acetyl cysteine (NAC, ROS scavenger) to macrophages. CCK-8 assay was used to detect cell viability; 5-ethynyl-2'-deoxyuridine (EdU) staining was used to detect cell proliferation; lactate dehydrogenase (LDH) assay kit was used to detect LDH in supernatant; calcein AM/PI fluorescent double-staining was applied to evaluate cell rupture; 2',7'-dichlorofluorescin diacetate (DCFH-DA) fluorescent probe was used to measure the content of ROS; Western blotting was used to measure the expressions of NLRP3, apoptosis-associated speck-like protein containing CARD (ASC), Caspase-1, gasdermin D (GSDMD), and interleukin-1β (IL-1β). Results Compared with the blank group, 100 μg·mL^-1nano-SiO₂ and 750 μg·mL^-1micro-SiO₂ dust exposure reduced the cell viability to 40% and 68% (P<0.05), and the cell proliferation rate to 30% and 33% (P<0.01), respectively; they also induced cell lysis and ROS release, upregulated NLRP3, ASC, Caspase-1, GSDMD, and IL-1β at protein level (P<0.05), and induced macrophage pyroptosis. After intervening with MCC950 (10 μmol·L^-1) and NAC (10 mmol·L^-1), the expressions of NLRP3, ASC, Caspase-1, and IL-1β decreased (P<0.05), and, specifically, NAC effectively reduced ROS levels (P<0.05). Conclusion Both nano- and micro-SiO₂ dust have cytotoxicity, can upregulate ROS level, activate NLRP3 inflammasome, and promote the release of cytokines, leading to pyroptosis. These results are helpful to reveal the molecular mechanism of macrophage pyroptosis induced by SiO₂ dust.