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.

In recent years, the role of cerebral venous outflow (VO) in the assessment of outcome in patients with acute ischemic stroke (AIS) has been receiving increasing attention. As a key component of the neurovascular compensation mechanism, good VO is of great significance for the functional outcome in patients with AIS. This article systematically reviews the methods and clinical applications of using CT angiography to evaluate VO, with a focus on exploring the association of VO characteristics with clinical outcome, symptomatic intracranial hemorrhage and cerebral edema progression, aiming to provide imaging evidence for optimizing individualized treatment and outcome assessment in patients with large vessel occlusive stroke.

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.

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: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.

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 compare PC-12 cells’ apoptosis caused by the serotonin herbicides atrazine （ATR）， simazine （SIM） and cyanazine （CYA）. 【Methods】 The rat adrenal medullary pheochromoma PC-12 cell line was selected for routine culture. At the cell logarithmic growth phase， ATR， SIM and CYA were used at a concentration of 200 μmol/L for 24 h， respectively， and the same solvent was added in the control group. The CCK-8 method was used to detect the cell survival rate； the content of reactive oxygen species （ROS） in PC-12 cells was detected； the Real-time PCR and Western blotting methods were used to detect the mRNA and protein expressions of Bax， p53， Bcl-2 and Caspase-3. 【Results】 Compared with that in the control group， the survival rate of the cells in ATR group， SIM group and CYA group was significantly decreased. The intracellular ROS activity of the three groups was significantly increased， and the mRNA and protein expressions of Bax， p53 and Caspase-3 were increased. mRNA and protein expressions of Bcl-2 were significantly reduced （P<0.01）. Compared with that in ATR group， the cell survival rate of SIM group and CYA group was significantly increased， the intracellular ROS activity of the two groups was significantly decreased， the expressions of Bax， p53 and Caspase-3 mRNA and protein were significantly reduced， and the expressions of Bcl-2 mRNA and protein were significantly increased （P<0.01）. Compared with that of SIM group， the cell survival rate of CYA group was significantly increased， while the intracellular ROS activity was significantly decreased； the Bax， p53 and Caspase-3 mRNA and protein expressions were significantly reduced， and Bcl-2 mRNA and protein expressions were significantly increased （P<0.01）. 【Conclusion】 ATR， SIM and CYA can all promote PC-12 cells’ apoptosis； ATR has the strongest effect while CYA has the weakest effect.