OBJECTIVE To investigate the application status of prescription pre-review systems in healthcare institutions of Yunnan province， evaluate their system functions and management capabilities， and provide a practical basis for promoting rational drug use. METHODS A questionnaire survey was conducted among public healthcare institutions at or above the secondary level in Yunnan province to investigate the deployment status of the systems. A capability maturity assessment framework was constructed， encompassing 6 dimensions and 39 indicators， including real-time prescription review， prescription correlation review， rule setting， evidence-based information support， prescription authority management， and system operation management. This framework was then used to evaluate the institutions that had implemented the pre-review systems. RESULTS A total of 100 valid questionnaires were collected， with 37 institutions having adopted prescription pre-review systems， mainly tertiary hospitals. The system predominantly adopted a modular architecture and was embedded into the hospital information system through application programming interfaces and middleware， providing certain capabilities for real-time prescription risk identification. Evaluation results indicated that basic functions such as reviewing indications， contraindications， and drug compatibility performed well， while deficiencies remained in functions related to parenteral nutrition prescription， review of drug dosage for specific diseases， individual patient characteristic recognition， and rule setting. Moreover， the construction of review centers and establishment of management systems were also not well-developed. CONCLUSIONS The overall application rate of prescription pre-review systems in Yunnan province remains low. System functions and management mechanisms require further improvement. It is recommended to enhance information infrastructure in lower-level institutions and explore regionally unified review models to promote standardized and intelligent development of prescription review practices.

Breast cancer has become the malignant tumor with the highest incidence rate among women， seriously threatening the life and health of women all over the world. The pathogenic factors and development mechanisms of breast cancer are complex and diverse. The development of breast cells from ordinary hyperplasia to atypical hyperplasia， and from pre-cancerous lesions to cancerous lesions， is a long-term progressive process. Therefore， early screening and prevention of breast cancer is particularly important. Western medicine has a relatively mature treatment program for breast cancer， which is mainly based on surgery and systemic treatment， whereas the ensuing complications and adverse reactions often bring a heavy burden to patients. For the precancerous lesions of breast cancer， surgery is also the mainstay of treatment. In recent years， traditional Chinese medicine （TCM） has increasingly highlighted its advantages in the prevention and treatment of breast cancer. Increasing studies have shown that in the prevention and treatment of breast cancer and pre-cancerous lesions， TCM compound prescriptions， single herbs or herb pairs， and active components are able to regulate a variety of intracellular signaling pathways through multi-targets to inhibit the proliferation and invasion， promote the apoptosis and autophagy of tumor cells， and regulate the cell cycle and the immune microenvironment， thus exerting anti-tumor effects. At the same time， they can significantly attenuate the toxic side effects of radiotherapy and drug resistance of patients. However， the specific mechanisms of TCM in the prevention and treatment of breast cancer and precancerous lesions have not been fully clarified. The available studies are tanglesome regarding the TCM inhibition of tumor development through the regulation of classical signaling pathways such as phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， and Notch， which still need to be verified by a large number of clinical and experimental studies. Therefore， this paper reviews the research progress in the prevention and treatment of breast cancer and precancerous lesions by TCM through interfering with the relevant signaling pathways in recent years， aiming to summarize the possible mechanisms of TCM in the prevention and treatment of breast cancer and provide references for subsequent studies.

Ulcerative colitis （UC）， a chronic relapsing inflammatory bowel disease， involves multifaceted pathological mechanisms such as intestinal barrier dysfunction， immune dysregulation， and oxidative stress. Current therapeutic strategies remain limited in efficacy and safety. In recent years， the adenosine monophosphate-activated protein kinase （AMPK） signaling pathway has emerged as a pivotal therapeutic target for UC due to its central role in energy metabolism， inflammatory regulation， and intestinal homeostasis. This article systematically reviewed the mechanisms by which traditional Chinese medicine （TCM） prevented and treated UC through the regulation of the AMPK signaling pathway， with a focus on elucidating AMPK's multidimensional regulatory network in inflammatory signaling crosstalk， alleviating oxidative stress， restoring intestinal immune balance， repairing the intestinal barrier， and modulating gut microbiota. Leveraging its unique advantages of multi-target engagement and low toxicity， TCM demonstrates promising potential in UC treatment and has become a focal area of research. By systematically summarizing and synthesizing the existing literature on TCM-mediated AMPK pathway modulation in UC， this review aims to provide a theoretical foundation for advancing mechanistic research and clinical interventions in UC.

Chronic heart failure （CHF） is an end-stage cardiac syndrome driven by multiple factors. Its pathological process involves interactions of multiple pathways such as energy metabolism dysfunction， neuroendocrine dysregulation， and myocardial fibrosis. Although current clinical medicine can alleviate symptoms through single-target approaches， significant limitations in reversing cardiac remodeling and disease progression remain. Puerarin， a major bioactive isoflavone constituent derived from Pueraria lobata， exhibits multidimensional pharmacological effects， such as vasodilatory effects， regulation of neuroendocrine balance， enhancement of metabolic homeostasis， and suppression of myocardial apoptosis. This review systematically integrated puerarin's multi-target regulatory network， elucidating its mechanisms such as improving energy metabolism by AMP-activated protein kinase/mechanistic target of rapamycin （AMPK/mTOR） pathway， inhibiting fibrosis mediated by transforming growth factor-β （TGF-β）/Smad signals， and attenuating oxidative-inflammatory cascades by regulating nuclear factor erythroid 2 （E₂）-related factor 2/nuclear transcription factor-κB（Nrf2/NF-κB） axis. Clinical research data was used to validate its efficacy in improving the left ventricular ejection function and reducing the therapeutic potential of cardiovascular events' risks. The study proposed that puerarin's "systemic regulation" characteristic breaks through the limitations of traditional single-target drugs and prospected its clinical translation pathway based on metabolomics and nano-delivery technology， offering an integrative perspective from molecular mechanisms to precise therapy for the research on modernization of traditional Chinese medicine.

Chronic heart failure （CHF） is an end-stage cardiac syndrome driven by multiple factors. Its pathological process involves interactions of multiple pathways such as energy metabolism dysfunction， neuroendocrine dysregulation， and myocardial fibrosis. Although current clinical medicine can alleviate symptoms through single-target approaches， significant limitations in reversing cardiac remodeling and disease progression remain. Puerarin， a major bioactive isoflavone constituent derived from Pueraria lobata， exhibits multidimensional pharmacological effects， such as vasodilatory effects， regulation of neuroendocrine balance， enhancement of metabolic homeostasis， and suppression of myocardial apoptosis. This review systematically integrated puerarin's multi-target regulatory network， elucidating its mechanisms such as improving energy metabolism by AMP-activated protein kinase/mechanistic target of rapamycin （AMPK/mTOR） pathway， inhibiting fibrosis mediated by transforming growth factor-β （TGF-β）/Smad signals， and attenuating oxidative-inflammatory cascades by regulating nuclear factor erythroid 2 （E₂）-related factor 2/nuclear transcription factor-κB（Nrf2/NF-κB） axis. Clinical research data was used to validate its efficacy in improving the left ventricular ejection function and reducing the therapeutic potential of cardiovascular events' risks. The study proposed that puerarin's "systemic regulation" characteristic breaks through the limitations of traditional single-target drugs and prospected its clinical translation pathway based on metabolomics and nano-delivery technology， offering an integrative perspective from molecular mechanisms to precise therapy for the research on modernization of traditional Chinese medicine.

Objective:To explore the genetic diversity of Mycobacterium tuberculosis (MTB) in different types of tuberculosis and its association with clinical features, providing evidence for precise diagnosis and treatment of tuberculosis. Methods:This cross-sectional study included 103 cases of tuberculosis (38 with simple pulmonary tuberculosis, 43 with tuberculous pleurisy, and 22 with pulmonary combined with extrapulmonary tuberculosis) from Shenzhen Third People′s Hospital from 2015 to 2018. Paired bacterial strains from lung and pleural effusion/extrapulmonary sites were collected. Whole-genome sequencing (WGS) was used for drug resistance prediction, and genetic diversity (π value) was calculated as well as differential genes screening. Statistical analysis included paired t-tests and χ2 tests to compare clinical, bacteriological and genetic diversity features among groups.Results:The simple pulmonary tuberculosis group exhibited significantly higher rates of retreatment (71.7%, 27/38), cavitation (70.4%, 19/27), and multidrug-resistant or rifampicin-resistant (MDR/RR) (60.5%, 23/38) compared to the tuberculous pleurisy group (retreatment 11.9%, 5/42; cavitation 11.9%, 5/42; MDR/RR 16.3%, 7/43) and extrapulmonary tuberculosis group (retreatment 9.1%, 2/22; cavitation 18.2%, 4/22; MDR/RR 13.6%, 3/22) ( P<0.05). The overall π values of the MTB strain genomes in lung [(5.94±3.93)×10 ?5], pleural effusion[(6.22±3.51)×10 ?5], and extrapulmonary tissues [(5.83±3.54)×10 ?5] showed no significant differences ( H=0.10, P=0.94). Differential gene diversity analysis revealed that π value alternating genes related to respiration and intermediate metabolism were prominently high [tuberculous pleurisy 32.4% (11/34) and extrapulmonary tuberculosis groups 31.4% (32/102)], while cell wall-associated genes dominated in the simple pulmonary tuberculosis group (42.9%, 6/14). Drug resistance profiles and mutation spectra were identical across isolates from different sites within the same patient. Conclusion:WGS revealed the MTB diversity among different types of tuberculosis. Difference between pulmonary and extrapulmonary environments may impel the adaptive alternations of the bacterial strains to maintain survival with higher overall genome stability. Drug resistance testing of lung-derived isolates may provide references on extrapulmonary tuberculosis treatment.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

OBJECTIVES: To investigate the causal associations between autoimmune diseases and aplastic anemia (AA) using Mendelian randomization analysis. METHODS: Publicly available genome-wide association study (GWAS) data were utilized to obtain single nucleotide polymorphisms (SNPs) associated with autoimmune diseases and AA for analysis. The inverse variance weighted (IVW) method was employed as the primary analytical approach, with MR Egger, Weighted Mode, Weighted Median, and Simple Mode methods serving as complementary analyses. Heterogeneity and pleiotropy analyses were conducted using designated functions, and the robustness of Mendelian randomization results was assessed using leave-one-out analysis. RESULTS: The two-sample Mendelian randomization analysis using the IVW method revealed significant positive causal associations of rheumatoid arthritis (OR=1.094, 95% CI: 1.023-1.170, P=0.009, adjusted P=0.042), systemic lupus erythematosus (OR=1.111, 95% CI: 1.021-1.208, P=0.015, adjusted P=0.036), Hashimoto thyroiditis (OR=1.206, 95% CI: 1.049-1.387, P=0.009, adjusted P=0.029), and Sicca syndrome (OR=1.173, 95% CI: 1.054-1.306, P=0.004, adjusted P=0.035) with AA, which was supported by the results from the Weighted Median method. Sensitivity analyses indicated no evidence of pleiotropy or heterogeneity, and leave-one-out analysis confirmed the robustness of the causal relationships. No direct evidence was found linking Graves' disease, ulcerative colitis, Crohn's disease, autoimmune hepatitis, primary biliary cholangitis, or primary sclerosing cholangitis with AA (P>0.05, adjusted P>0.05), indicating a lack of causal association. Reverse Mendelian randomization results and multiple corrections indicated that AA was not an influencing factor for autoimmune diseases (adjusted P>0.05). CONCLUSIONS Our findings support at the genetic level that rheumatoid arthritis, systemic lupus erythematosus, Hashimoto thyroiditis, and Sicca syndrome are risk factors for AA, and confirm a causal association of the these 4 autoimmune diseases with an increased risk of AA.
Humans ; Mendelian Randomization Analysis ; Anemia, Aplastic/genetics* ; Autoimmune Diseases/complications* ; Polymorphism, Single Nucleotide ; Genome-Wide Association Study ; Arthritis, Rheumatoid/genetics* ; Lupus Erythematosus, Systemic/genetics* ; Genetic Predisposition to Disease