Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

ObjectiveTo analyze the epidemiological characteristics and influencing factors of clustered influenza-like illness (ILI) outbreaks in Yangpu District, Shanghai from 2012 to 2022, and to provide a scientific basis for formulating specific prevention and control measures of influenza in this district. MethodsData on clustered ILI outbreaks from 2012 to 2022 were collected, and the epidemiological pattern of the cluster outbreaks of influenza and its influencing factors of prevalence and duration were explored using statistical methods such as descriptive epidemiology, χ² test and logistic regression analysis. ResultsA total of 60 clustered ILI outbreaks were reported in Yangpu District, Shanghai from 2012 to 2022, with a cumulative number of 543 cases and an annual average incidence rate of 16.96%. The male-to-female ratio was1.06∶1. The largest number of ILI were reported in 2019, mainly from November to January of the next year, with December being the peak of outbreaks. The Streets of Changhai Rd. in Yangpu District had the largest number of reported outbreaks, accounting for 30.00% of the total outbreaks. Influenza cluster outbreaks occurred in schools, with the majority of outbreaks and cases reported in primary schools (accounting for 65.00% and 62.06% of the total, respectively). The outbreaks were mainly caused by influenza B virus, accounting for 50% of the total number of outbreaks. The prevalence rate of influenza cluster outbreaks varied among different schools in terms of their affiliated streets, school attributes and school types, with those in Kongjiang Rd. Subdistrict, private schools, and childcare institutions being relatively high. The duration of outbreaks reported for >2 days was longer than those reported for ≤2 days (OR=8.604, 95%CI: 1.509–49.067). ConclusionThe ILI outbreaks in Yangpu District present a seasonal pattern, with primary schools and Changhai Rd. Street as the targeted places for implementing prevention and control measures. Timely detection and reporting and active disposal can prevent a further spread of the outbreaks.

The field of post-marketing benefit-risk assessment for traditional Chinese medicine（TCM） is still in its nascent stage， lacking a universally accepted and cohesive evaluation framework and standards. This study presented a strategy developed for the benefit-risk assessment of post-marketing of TCM， and explored the critical techniques and specific implementation steps involved in the assessment process. Initially， appropriate qualitative assessment frameworks and quantitative analysis models were selected for the integrated qualitative and quantitative benefit-risk assessment. Subsequently， key technologies were outlined， including the establishment of a benefit-risk indicator system， the assignment of indicator weights， and the definition of criteria attributes. Furthermore， the implementation steps were elaborated， which involved defining decision-making issues， data collection， evaluation methodologies， variability factors， and sensitivity analysis. Finally， a case study of the benefit-risk assessment of a TCM injection for hepatitis B treatment was conducted to validate the feasibility of the proposed strategy. The objective of this research was to provide theoretical support and practical references for the development of a comprehensive post-marketing benefit-risk assessment system for TCM.

OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things （IoT） and blockchain technology， and evaluate its implementation effects. METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology. System effectiveness was evaluated from three dimensions： work efficiency， medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation （October to December 2024） and after the system implementation （January to March 2025）. RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs， centered around the drug traceability code management system， was successfully established. The acceptance time for incoming drugs was shortened from （4.65±0.26） h before implementation to （0.34±0.08） h after implementation （P＜ 0.05）. The number of collected drug traceability codes increased from 419 018 to 1 236 522， and the coverage rate of traceability codes rose from 28.36% to 89.88% （P＜0.05）. The time pharmacists spent on drug expiry management per week decreased from （128.40±19.20） min to （0.56±0.13） min （P＜0.05）， and the dispensing time for a single prescription （excluding a part of injections and repackaged drugs） was reduced from （143.25±17.67） s to （15.24±10.08） s （P＜0.05）. The time for drug return was reduced from 129.90 （122.32， 137.00） s to 104.36 （89.91， 117.33） s（P＜0.05）； the number of drug dispensing errors decreased from 2 cases to 0 cases. After the system was launched， there were no data security incidents in our outpatient pharmacy. CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality， improve pharmacist work efficiency， and reduce drug management risks， thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

The incidence and mortality rate of heart failure (HF) are increasing annually, resulting in a huge medical and economic burden worldwide. B-type natriuretic peptide (BNP) is the gold standard biomarker of HF recommended by national and international guidelines for the diagnosis and prognosis evaluation of HF. Recent studies suggest that BNP can be truncated in multiple forms by different enzymes rather than complete fragments in circulation, which can be contributing to the diagnosis and classification of HF. The immunoassay mostly used in clinics are unable to distinguish different truncated BNP forms due to cross-reactivity of antibody, while mass spectrometry is more accurate because it can easily distinguish through their mass-to-charge ratios. With the maturation of ambient ionization mass spectrometry and ion mobility mass spectrometry, it can help to simplify sample pre-treatment and improve the separation efficiency, in order to explore the clinical value of the heterogeneity of BNP truncated forms.

The rapid development of artificial intelligence in the field of healthcare has greatly improved diagnosis accuracy, disease prediction, personalized treatment and healthcare resource management. However, with the widespread application of medical artificial intelligence, challenges has emerged in the aspects of medical data, model development and evaluation, and societal considerations. Therefore, this study aims to explore challenges in the application of artificial intelligence in healthcare and suggest a series of feasible solutions to improve medical professional and researchers' understanding of medical artificial intelligence and enhance the quality of healthcare in clinical practice

Objective:To explore the direct economic burden and factors affecting out-of-pocket direct costs of multidrug-/rifampicin-resistant pulmonary tuberculosis (MDR/RR-PTB) patients in Jiangsu Province.Methods:MDR/RR-PTB patients diagnosed and treated at 13 municipal tuberculosis (TB)-designated hospitals in Jiangsu Province between January 1, 2021, and December 31, 2022, were included, and basic information and direct economic costs were obtained through questionnaires and hospital information systems. Stepwise multiple linear regression was used to analyze the factors influencing patients' out-of-pocket direct costs.Results:The age of the 233 MDR/RR-PTB patients was (44.04±15.64) years. The M( Q1, Q3) direct medical expense of the patients was 134 051.00 (98 934.01,163 205.73) Yuan, of which the M( Q1, Q3) reimbursement by health insurance or policy reduction was 100 462.10 (78 120.00,130 816.00) Yuan, and the M( Q1, Q3) out-of-pocket direct medical expense was 21 694.62 (14 734.83,37 813.00) Yuan. The M( Q1, Q3) direct non-medical expense was 4 971.00 (3 138.00,7 870.00) Yuan. Age, registered residence location, TB resulting in divorce or separation from spouse or partner, drug resistance test results, and treatment regimens were the influencing factors associated with out-of-pocket direct costs for MDR/RR-PTB patients. Conclusions:The direct economic burden caused by MDR/RR-PTB in Jiangsu Province is heavy. It is necessary to emphasize psychological guidance and care for MDR/RR-PTB patients, improve the diagnosis, treatment, and management of MDR/RR-PTB, and effectively reduce the economic burden of MDR/RR-PTB patients.

Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

Objective To systematically evaluate the changes in axial length and treatment zone diameter among my-opic patients wearing orthokeratology lenses with different back optic zone diameters.Methods A comprehensive litera-ture search was conducted on PubMed,Embase,the Cochrane Library,Web of Science,Wangfang Med Online and CNKI databases in both Chinese and English to identify randomized controlled trials or controlled trials investigating orthokeratol-ogy lenses with varying back optical zone diameters.The literature was thoroughly reviewed by two researchers,who ex-tracted relevant data and conducted a methodological quality evaluation.Finally,meta-analysis was performed using Rev-Man 5.3 software.In all the included studies,orthokeratology lenses with a conventional back optic zone diameter were taken as the control group,while orthokeratology lenses with a reduced back optic zone diameter were utilized as the ex-perimental group.Results Eight studies involving 437 patients(459 eyes)with myopia were included.The results of me-ta-analysis showed that the axial length changes in the experimental group were significantly lower than those of the control group after wearing orthokeratology lenses for 6 months and 12 months(6 months:MD=-0.09,95％CI:-0.10 to-0.07,Z=10.50,P＜0.05;12 months:MD=-0.11,95％CI:-0.13 to-0.09,Z=12.19,P＜0.05);significant differ-ences in treatment zone diameter were observed between the experimental and control groups at various time points follow-ing orthokeratology lens wearing(MD=-0.82,95％CI:-1.04 to-0.59,Z=7.03,P＜0.05).Conclusion Orthoker-atology lenses designed with smaller back optical zone diameters can effectively delay axial length growth in myopic pa-tients,but their long-term efficacy needs to be confirmed.