OBJECTIVE To provide suggestions for improving the path and system construction of patient engagement in drug regulation in China. METHODS By reviewing initiatives and experiences from the United States （U. S.）， European Union （EU）， and Japan in promoting patient engagement， this study summarizes the roles and contributions of patients in the entire drug regulatory process internationally. Combining China’s current progress and challenges in patient engagement， specific proposals are formulated to refine regulatory pathways and institutional systems. RESULTS & CONCLUSIONS With growing global emphasis on patient engagement as a regulatory strategy， countries or regions such as the U.S.， EU， and Japan have established clear policies， designated oversight agencies， and developed diversified pathways for patient engagement. Patients contribute to regulatory processes through advisory meetings， direct decision-making roles， and leveraging lived experiences and expertise to optimize drug evaluation and monitoring. In contrast， China’s patient engagement remains primarily limited to clinical value- oriented drug development， lacking formal policy guidance. It is recommended that China， based on its existing policy system， further strengthen the construction of a safeguard system for patient engagement， improve the capacity building and pathway models for patient participation in pharmaceutical regulation， and promote the continuous development of patient engagement in pharmaceutical regulation in our country.

BACKGROUND:Steroid-induced femoral head necrosis is mostly caused by long-term and extensive use of hormones,but its specific pathogenesis is not yet clear and needs further study. OBJECTIVE:To screen out the differential miRNAs in osteoclast exosomes after the intervention of Panax notoginseng saponins,and on this basis,to further construct an osteogenic-related ferroptosis regulatory network to explore the potential mechanism and research direction of steroid-induced osteonecrosis of the femoral head. METHODS:MTT assay was used to detect the toxic effects of different concentrations of dexamethasone and different mass concentrations of Panax notoginseng saponins on Raw264.7 cell line.Tartrate resistant acid phosphatase staining and TUNEL assay were used to detect the effects of Panax notoginseng saponins on osteoclast inhibition and apoptosis.Exosomes were extracted from cultured osteoclasts with Panax notoginseng saponins intervention.Exosomes from different groups were sequenced to identify differentially expressed miRNAs.CytoScape 3.9.1 was used to construct and visualize the regulatory network between differentially expressed miRNAs and mRNAs.Candidate mRNAs were screened by GO analysis and KEGG analysis.Finally,the differential genes related to ferroptosis were screened out,and the regulatory network of ferroptosis-related genes was constructed. RESULTS AND CONCLUSION:(1)The concentration of dexamethasone(0.1 μmol/L)and Panax notoginseng saponins(1 736.85 μg/mL)suitable for intervention of Raw264.7 cells was determined by MTT assay.(2)Panax notoginseng saponins had an inhibitory effect on osteoclasts and could promote their apoptosis.(3)Totally 20 differentially expressed miRNAs were identified from osteoclast-derived exosome samples,and 11 differentially expressed miRNAs related to osteogenesis were predicted by target mRNAs.The regulatory networks of 4 up-regulated differentially expressed miRNAs corresponding to 155 down-regulated candidate mRNAs and 7 down-regulated differentially expressed miRNAs corresponding to 238 up-regulated candidate mRNAs were constructed.(4)Twenty-four genes related to ferroptosis were screened out from the differential genes.Finally,12 networks were constructed(miR-98-5p/PTGS2,miR-23b-3p/PTGS2,miR-425-5p/TFRC,miR-133a-3p/TFRC,miR-185-5p/TFRC,miR-23b-3p/NFE2L2,miR-23b-3p/LAMP2,miR-98-5p/LAMP2,miR-182-5p/LAMP2,miR-182-5p/TLR4,miR-23b-3p/ZFP36,and miR-182-5p/ZFP36).These results indicate that Panax notoginseng saponins may regulate osteoblast ferroptosis by regulating the expression of miRNAs derived from osteoclast exosomes,thus providing a new idea for the study of the mechanism of steroid-induced femoral head necrosis.

AIM: To investigate the abnormal conditions and change patterns of accommodative facility in patients with different refractive states before and after small incision lenticule extraction(SMILE)surgery.METHODS:A prospective clinical cohort study was conducted. A total of 59 patients(118 eyes)who underwent SMILE surgery and had visual function files established in our hospital from June to December 2023 were randomly selected, including 37 males and 22 females, aged 18-35 years(with an average age of 25.19±5.65 years). According to the preoperative spherical equivalent(SE), they were divided into two groups: the low-to-moderate myopia group(SE≥-6.00 DS)with 40 patients(80 eyes), and the high myopia group(SE<-6.00 DS)with 19 patients(38 eyes). The monocular and binocular accommodative facility before surgery and at 1 wk and 1 mo after surgery were compared, and the changes in accommodative facility before and after SMILE surgery in the two groups of patients were analyzed.RESULTS:All surgeries were completed successfully. In the low-to-moderate myopia group, 33 cases(66 eyes)completed the 1-month follow-up after surgery, with a loss to follow-up rate of 17.5%(7/40). In the high myopia group, 15 patients(30 eyes)completed the 1-month follow-up after surgery, with a loss to follow-up rate of 21.1%(4/19). After SMILE surgery, the uncorrected visual acuity and SE of both low-to-moderate myopia and high myopia were significantly improved(all P<0.05). The accommodative facility of the right eyes in all the patients at 1 mo after surgery was better than that before surgery and at 1 wk after surgery(P=0.002, 0.006), the accommodative facility of the left eyes was significantly increased at 1 mo after surgery than that at 1 wk after surgery(P=0.005), and the binocular accommodative facility at 1 mo after surgery was significantly increased compared with that before surgery(P<0.017). Furthermore, there were statistical significance in accommodative facility of the right eyes in the low-to-moderate group at 1 mo compared with that before surgery and at 1 wk after surgery(P=0.011, 0.004); it was significantly increased in the left eyes at 1 mo after surgery compared with that at 1 wk after surgery(P=0.001), and binocular accommodative facility at 1 mo after surgery was significantly better than that before surgery(P<0.001). Furthermore, there was no statistical significance in the right, left and binocular accommodative facility of patients in the high myopia group(all P>0.017).CONCLUSION: After SMILE surgery, the monocular accommodative facility shows a transient decrease and then exceeds the preoperative level at 1 mo after surgery, and the binocular accommodative facility gradually improves after surgery. SMILE surgery has a positive impact on the monocular and binocular accommodative facility in patients with low-to-moderate myopia, but has no significant impact on the accommodative facility in patients with high myopia. It is of clinical significance to strengthen the detection of monocular and binocular accommodative facility before and after SMILE surgery.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Systemic lupus erythematosus (SLE) is a highly heterogeneous systemic autoimmune disease characterized by multi-organ involvement, recurrent flares, and chronic progression. With advances in diagnostics and therapeutics, SLE management is shifting from disease control toward long-term remission and organ protection. Incorporating recent global evidence and characteristics of the Chinese population, the National Clinical Research Center for Dermatologic and Immunologic Diseases and the Chinese SLE Treatment and Research Group (CSTAR) have developed the Chinese guidelines for the diagnosis and treatment of systemic lupus erythematosus (2025 edition). Centered on a treat-to-target strategy, the guidelines prioritize clinical remission and low disease activity as primary goals, optimizing the use of glucocorticoids, immunosuppressants, biologics, and novel therapies. Key updates include individualized management recommendations for lupus nephritis, multi-organ involvement, and antiphospholipid syndrome, alongside first-ever evidence-based recommendations on vaccination in SLE patients. By integrating large-scale domestic cohort studies and real-world data, this edition provides more precise and actionable guidance, offering significant value for standardizing and improving SLE diagnosis, treatment, and long-term management in China.

Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline, functional impairment, and neuropsychiatric symptoms. It represents the most prevalent form of dementia among the elderly population. Accumulating evidence indicates that oxidative stress plays a pivotal role in the pathogenesis of AD. Notably, elevated levels of oxidative stress have been observed in the brains of AD patients, where excessive reactive oxygen species (ROS) can cause extensive damage to lipids, proteins, and DNA, ultimately compromising neuronal structure and function. Amyloid β‑protein (Aβ) has been shown to induce mitochondrial dysfunction and calcium overload, thereby promoting the generation of ROS. This, in turn, exacerbates Aβ aggregation and enhances tau phosphorylation, leading to the formation of two pathological features of AD: extracellular Aβ plaque deposition and intracellular neurofibrillary tangles (NFTs). These events ultimately culminate in neuronal death, forming a vicious cycle. The interplay between oxidative stress and these pathological processes constitutes a core link in the pathogenesis of AD. The signaling pathways mediating oxidative stress in AD include Nrf2, RCAN1, PP2A, CREB, Notch1, NF‑κB, ApoE, and ferroptosis. Nrf2 signaling pathway serves as a key regulator of cellular redox homeostasis, exerts important antioxidant capacity and protective effects in AD. RCAN1 signaling pathway, as a calcineurin inhibitor, and modulates AD progression through multiple mechanisms. PP2A signaling pathway is involved in regulating tau phosphorylation and neuroinflammation processes. CREB signaling pathway contributes to neuroplasticity and memory formation; activation of CREB improves cognitive function and reduce oxidative stress. Notch1 signaling pathway regulates neuronal development and memory, participates in modulation of Aβ production, and interacts with Nrf2 toco-regulate antioxidant activity. NF‑κB signaling pathway governs immune and inflammatory responses; sustained activation of this pathway forms “inflammatory memory”, thereby exacerbating AD pathology. ApoE signaling pathway is associated with lipid metabolism; among its isoforms, ApoE-ε4 significantly increases the risk of AD, leading to elevated oxidative stress, abnormal lipid metabolism, and neuroinflammation. The ferroptosis signaling pathway is driven by iron-dependent lipid peroxidation, and the subsequent release of lipid peroxidation products and ROS exacerbate oxidative stress and neuronal damage. These interconnected pathways form a complex regulatory network that regulates the progression of AD through oxidative stress and related pathological cascades. In terms of therapeutic strategies targeting oxidative stress, among the drugs currently used in clinical practice for AD treatment, memantine and donepezil demonstrate significant therapeutic efficacy and can improve the level of oxidative stress in AD patients. Some compounds with antioxidant effects (such asα-lipoic acid and melatonin) have shown certain potential in AD treatment research and can be used as dietary supplements to ameliorate AD symptoms. In addition, non-drug interventions such as calorie restriction and exercise have been proven to exerted neuroprotective effects and have a positive effect on the treatment of AD. By comprehensively utilizing the therapeutic characteristics of different signaling pathways, it is expected that more comprehensive multi-target combination therapy regimens and combined nanomolecular delivery systems will be developed in the future to bypass the blood-brain barrier, providing more effective therapeutic strategies for AD.

Aim To establish a gait analysis system based on DeepLabCut(DLC)algorithm for evaluating motor function in aged mice.Methods Based on DLC algorithm in deep learning technology,treadmill device and fully closed design were used in the system,including software and hardware.This system was applied to evaluate gait characteristics of mice due to aging un-der different movement modes.Correlation analysis was used to explore the effects of body weight and body length on gait indica-tors.Results This system realized the synchronous analysis of three-dimensional gait(lateral and ventral plane)of mice at specific gait speed,and automatically quantified 47 gait indica-tors.Using this system,it was found that during walking(15 cm·s-1),the standard deviation of body turning angle decreased,forelimb sway duration,standard deviation of knee angle,mean outward angles of left and right hind paw increased in 8 and 15 month-old mice,compared with 2-month-old mice.However,15-month-old mice showed decreased walking frequency,and in-creased stride width,total duration of double support,and knee extension and contraction distance.In addition,at trot(20 cm·s-1),15-month-old mice were unable to walk steadily,and 8-month-old mice had increased total duration of double support and mean outward angles of left hind paw,compared with 2-month-old mice.Correlation analysis revealed that indicators like walking frequency,stride width,forelimb sway duration,total duration of double support,standard deviation of knee an-gle,knee extension and contraction distance,were not affected by changes in body weight and body length.Conclusions The gait analysis system based on DLC algorithm can achieve a more sensitive,accurate and comprehensive evaluation of the gait of aged mice,distinguishing the gait characteristics of aged mice to maintain gait stability,and selecting behavioral indicators that better reflect the gait changes of aged mice.It provides a meth-odological basis for more effective assessment of efficacy and side effects of drugs for anti-aging and anti-decline of motor coordina-tion in the future.

Objective:To explore the clinical features and prognosis of patients with primary central nervous system lymphoma(PCNSL).Methods:A retrospective analysis was performed on the relationship between clinical features,treatment regimen and prognosis in 46 newly diagnosed patients with primary central nervous system lymphoma who were diagnosed and treated in The Second Hospital of Lanzhou University from January 2015 to September 2022.Fisher's exact probability method was used to analyze the differences in clinical data of different subgroups.Kaplan-Meier survival curve was used to analyze the overall survival rate and progression-free survival rate of patients with different treatments,and the factors influencing survival were analyzed.Results:Among 46 patients with PCNSL,which pathological type were diffuse large B-cell lymphoma(DLBCL).There were 26(56.5％)cases of male and 20(43.5％)of female,with a median age of 54(17-71)years.In Hans subtypes,14 cases(30.4％)of GCB subtype,32 cases(69.6％)of non-GCB subtype.32 cases(69.6％)of Ki-67 ≥80％.Among 36 patients who completed at least 2 cycles of treatment with follow-up data,the efficacy evaluation was as follows:overall response rate(ORR)was 63.9％,complete response(CR)rate was 47.2％,17 cases of CR,6 cases of PR.The 1-year progression-free survival rate and 1-year overall survival rate was 73.6％and 84.9％,respectively.The 2-year progression-free survival rate and 2-year overall survival rate was 52.2％and 68.9％,respectively.The ORR and CR rate of 17 patients treated with RMT regimen was 76.5％and 52.9％(9 cases CR and 4 cases PR),respectively.Univariate analysis of 3 groups of patients treated with RMT regimen,RM-BTKi regimen,and RM-TT regimen as first-line treament showed that deep brain infiltration was associated with adverse PFS(P=0.032),and treatment regimen was associated with adverse OS in PCNSL patients(P=0.025).Conclusion:Different treatment modalities were independent prognosis predictors for OS,the deep brain infiltration of PCNSL is a poor predictive factor for PFS.Patients with relapse/refractory(R/R)PCNSL have a longer overall survival time because to the novel medication BTKi.They have strong toleration and therapeutic potential as a first-line therapy for high-risk patients.

Objective Analyze the implementation effects of the specialized disease management policy(hereinafter re-ferred to as the policy)to provide reference for strengthening operational management and enhancing the integration of business and finance in public hospitals.Methods Patient information of inpatients from a large comprehensive tertiary hospital from Jan-uary 2022 to June 2023 was collected.Four out of ten single diseases focused on by the national tertiary public hospital perform-ance assessment were included in the study group for specialized disease management,while the remaining six were used as the control group.A difference-in-differences model was adopted to analyze the changes in relevant indicators such as per capita inpa-tient expenses,average length of stay,per capita drug expenses,per capita consumable expenses,and per capita examination and treatment expenses before and after the policy implementation.Additionally,the effects of policy implementation were further analyzed based on different medical insurance types.Results A total of 22 457 patients were included,with 5 879 patients in the study group(3 164 cases before policy implementation and 2 715 cases after policy implementation),and 19 741 patients in the control group.The difference-in-differences model analysis showed that after the policy implementation,per capita inpatient expenses for specialized disease management patients decreased by 32.7％,average length of stay decreased by 31.4％,drug ex-penses decreased by 49.5％,consumable expenses decreased by 24.2％,and examination and treatment expenses decreased by 29.2％.Moreover,compared to patients under non-Wuhan medical insurance,patients under Wuhan medical insurance experi-enced a greater reduction in related indicators.Conclusion The implementation of the policy effectively reduces the burden on patients seeking medical care,improves medical treatment efficiency,contributes to hospital refined management methods,deep-ens the integration of business and finance,and facilitates the transition towards leaner operations.

Objective To construct and validate a nomogram prediction model for the high-risk human papilloma-virus(HPV)infection and its natural clearance in professional women.Methods Women with regular professions,who underwent professional medical examination and were confirmed with high-risk HPV infection without cervical cancer and cervical epithelial neoplasia in a hospital from March 2020 to March 2021 were studied.Patients were di-vided into the model group and the validation group in a 7:3 ratio.The model group were subdivided into the natural clearance group and the persistent infection group based on follow-up results.The general information,reproduc-tive-related treatment,sexual partner-related information,and examination results of the two groups of patients were compared.Potential factors for natural clearance of high-risk HPV infection in professional women were screened out by LASSO regression.Independent influencing factors were screened out with multivariate logistic re-gression.Based on multivariate logistic regression results,a nomogram prediction model was constructed and valida-ted using R programming language.Results A total of 329 cases were included,230 in the model group and 99 in the validation group.There was no statistically significant difference in general information between the two groups of patients(all P＞0.05).Among the 230 high-risk HPV infection patients in the model group,165 turned negative at the end of follow-up,with a natural clearance rate of 71.74％.Based on LASSO regression analysis,multivariate logistic regression analysis showed that age,contraceptive method,number of sexual partners,excessive foreskin of sexual partners,initial viral load,HPV infection type,and reproductive tract inflammation were independent influ-encing factors for the natural clearance of high-risk HPV infection in professional women(all P＜0.05).The re-ceiver operating characteristic(ROC)curve analysis showed that the areas under the curve(AUC)of natural clea-rance of high-risk HPV infection in professional women in the model group and validation group were 0.834(95％CI:0.776-0.893)and 0.817(95％CI:0.755-0.879),respectively.H-L goodness-of-fit test result showed that the difference between the nomogram model and the ideal model was not statistically significant(P＞0.05).The cali-bration curve results showed that the predicted curves of the model group and validation group were basically fit with the standard curve,indicating a high predictive accuracy of the model.The decision curve analysis results of the model group showed that when the probability threshold of natural clearance of high-risk HPV infection in profes-sional women predicted by the nomogram model was 0.15-0.95,the net benefit rate of patients was＞0.Conclusion The natural clearance rate of high-risk HPV infection in professional women is high,mainly influenced by factors such as age,contraceptive method,and number of sexual partners.The nomogram model constructed in this study has high accuracy and discrimination in predicting the natural clearance rate of high-risk HPV infection in profes-sional women.