Flexible ureteral lithotripsy (FURL) under general anesthesia (GA) is the dominant method in the treatment of renal and upper ureteral calculi，but some patients cannot tolerate GA.In recent years，there has been a growing interest in the use of local anesthesia (LA) as a safe and effective alternative.And it is also an option for patients who have calculi ≤20 mm with high fragility，lower CT value and better compatibility.Before surgery，it is important to conduct relevant examinations，evaluate the status of patients，prevent infections，and indwell ureteral stents.During surgery，lithotomy position，scissors position，prone leg position and other positions should be selected according to the specific conditions of patients.LA drugs should be used to control physiological pain and relieve psychological anxiety.Patients' breathing state should be carefully monitored，and appropriate ureteroscope and lens sheath should be selected for the success and safety of the operation.In this paper，the perioperative management of FURL under LA is briefly summarized，so as to provide reference for clinical practice.

ObjectiveTo investigate the influence of empagliflozin combined with donafenib or lenvatinib on the pharmacokinetic parameters of each drug， and to provide a reference for combined medication in clinical practice. MethodsA total of 48 healthy male Sprague-Dawley rats were divided into 8 groups： empagliflozin group 1 and 2， donafenib group， lenvatinib group， donafenib pretreatment+empagliflozin group， lenvatinib pretreatment + empagliflozin group， empagliflozin pretreatment+donafenib group， and empagliflozin pretreatment+lenvatinib group， with 6 rats in each group. The doses of empagliflozin， donafenib， and lenvatinib were 2.5 mg/kg， 40 mg/kg， and 1.2 mg/kg， respectively. The rats in the empagliflozin group， donafenib group， and lenvatinib group were given a blank solvent by gavage for 7 consecutive days， followed by a single dose of empagliflozin， donafenib， or lenvatinib on day 7 after the administration of the blank solvent； the rats in the pretreatment groups were given the pretreatment drug by gavage for 7 consecutive days， followed by a single dose of drug combination on day 7 after administration of the pretreatment drug. Blood samples were collected at different time points， and plasma was separated to measure the concentration of each drug. A validated ultra-performance liquid chromatography-tandem mass spectrometry method was used to measure the plasma concentrations of donafenib， lenvatinib， and empagliflozin， and a non-compartmental model was used to calculate the main pharmacokinetic parameters of each drug （area under the plasma concentration-time curve ［AUC］， time to peak ［T_max］， peak concentration ［C_max］， and half-life time ［t_1/2］）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the empagliflozin group， the donafenib pretreatment+empagliflozin group had significant increases in the AUC_0-t and AUC_0-∞ of empagliflozin （P=0.011 and 0.008）， while the lenvatinib pretreatment+empagliflozin group had no significant change in the AUC of empagliflozin， with a slightly shorter T_max （P=0.019）. Compared with the donafenib group， the empagliflozin pretreatment+donafenib group had significant increases in the AUC_0-t and AUC_0-∞ of donafenib （P=0.027 and 0.025）， as well as a significant increase in C_max （P=0.015） and significant reductions in CLz/F and Vz/F （P=0.005 and 0.004）； compared with the lenvatinib group， the empagliflozin pretreatment+lenvatinib group had a reduction in the t_1/2 of lenvatinib by approximately 5 hours （P=0.002）， with a trend of reduction in AUC_0-t （P0.05）. ConclusionEmpagliflozin combined with donafenib may alter the pharmacokinetic parameters of both drugs， leading to a significant increase in the exposure levels of both drugs， and efficacy and adverse reactions should be monitored during co-administration. There are no significant changes in the exposure levels of empagliflozin and lenvatinib during co-administration.

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

Current experimental and computational methods have limitations in accurately and efficiently classifying ion channels within vast protein spaces. Here we have developed a deep learning algorithm, GPT2 Ion Channel Classifier (GPT2-ICC), which effectively distinguishing ion channels from a test set containing approximately 239 times more non-ion-channel proteins. GPT2-ICC integrates representation learning with a large language model (LLM)-based classifier, enabling highly accurate identification of potential ion channels. Several potential ion channels were predicated from the unannotated human proteome, further demonstrating GPT2-ICC's generalization ability. This study marks a significant advancement in artificial-intelligence-driven ion channel research, highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data. Moreover, it provides a valuable computational tool for uncovering previously uncharacterized ion channels.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Objective It evaluates the high-quality development policies of public hospitals at the provincial level in China,and provides theoretical basis and countermeasures for formulating and optimizing the high-quality develop-ment policies of public hospitals.Methods The ROST CM 6.0 software was used to conduct text mining for 11 sample policies,and the Policy Modeling Consistency(PMC)index model was constructed to evaluate the sample policies quantitatively.Results The average PMC index of 11 sample policies included in the study was 7.16 points,of which 8 were excellent grades and 3 were qualified grades.The first-level variables X5 service system(0.82),X8 Party leadership(0.91)and X6 organization and operation(0.94)scored higher;X2 policy timeliness(0.52),X7 cultural construction(0.68)and X4 service capability(0.71)scored low.Conclusion The content of the high-quality develop-ment policy of public hospitals at the provincial level is basically in line with the national policy,and is relatively excel-lent in the aspects of organization and operation,service system and party leadership,etc.,but there are some weaknesses in the aspects of policy timeliness,cultural construction and service capacity,etc.,which can be op-timized and improved from the aspects of improving service capacity,supplementing long-term policies and strengthening hospital cultural construction.

Objective To explore the high-quality development path of tertiary public hospitals and provide scientific reference for deepening the reform of public hospitals.Methods Based on SPO theory,it constructed an analytical framework for the high-quality development of tertiary public hospitals,collected data of a quarterly monitoring in-dex for the performance assessment and high-quality development of tertiary public hospitals in a certain province in 2023,and analysed 73 tertiary public hospitals participating in the performance assessment as the object of analy-sis,and adopted the fuzzy-set Qualitative Comparative Analysis to explore different condition sets of high-quality de-velopment of tertiary public hospitals and reveal the path of high-quality development of public hospitals.Results High-quality development is the result of multi-factor interaction.Four configurations were identified to promote the high-quality development of tertiary public hospitals:service quality-technology-driven path,service quality-driven path,comprehensive service-driven path,and service quality-benefit-driven path.Quality safety and functional orientation were found to be the core elements in promoting high-quality development of public hospitals.Conclusion Hospitals at all levels should strengthen the guidance of party building,combine with the actual functional positioning,take quality and safety as the core,and optimize the combination conditions of technical level,personnel structure,service process,and cost control.It is essential to clarify the development strategy of hospitals,implement the dynamic concept,and realize the high-quality development of public hospitals.

Objective To empirically analyze the status quo of high-quality development of public hospitals in S Province,provides reference for promoting high-quality development of public hospitals.Methods SPSS 26.0 soft-ware and text analysis method were used to process the high-quality development monitoring data of tertiary public hospitals in S Province,and the qualitative interview results obtained by field investigation were comprehensively ana-lyzed.Results In terms of capacity improvement,public hospitals actively take measures such as the construction of medical union and the reform of payment methods to improve their capacity.Specialized hospitals and maternity and child care hospitals need to be improved in some indicators.In terms of structural optimization,the quality of medi-cal services is high in all regions.The proportion of medical service revenue and the proportion of high-grade surgery still need to be increased.In terms of innovation and efficiency improvement,the application level of electronic medi-cal records has made remarkable progress in various regions.There are differences in the funding of scientific re-search projects.In terms of cultural cohesion,patient satisfaction was higher.There is improvement room in the satisfaction of medical staff.Conclusion Third-level public hospitals in S province have achieved certain results in high-quality de-velopment,but there are still problems,such as the need to further integrate party building work with hospital busi-ness work,the lack of connection between performance incentive and performance evaluation index system,and the need to improve the satisfaction of medical staff.It is necessary to solve the problem and improve the quality and efficiency of medical service.

Objective To sort out and quantitatively evaluate the policies of"Internet+Nursing Service",and provide reference for the formulation and improvement of policies.Methods It uses ROST CM 6.0 software to mine the text data of 6"Internet+Nursing service"policies,constructs Policy Modeling Consistency(PMC)index model,and uses 9 first-class variables and 43 second-class variables to quantitatively evaluate the"Internet+Nursing service"policies.Results Among the 6 policies,1 policies were of good grade,5 policies were of acceptable grade,and the mean value of PMC index was 6.40,which was at the level of qualified or above,with higher scores on the primary variables X7 policy tools(0.95),X1 policy nature(0.92)and X9 policy evaluation(0.83),and lower scores on X8 incentive methods(0.63),X2 issuing organizations(0.58),and X5 policy timeliness(0.25).Conclusion The construction of the policy framework of"Internet+Nursing Service"in China is in the exploratory stage,and there is still room for improvement.It is recommended to improve the continuity and standardization of"Internet+Nursing Service"through rational planning of policy timing,comprehensive implementation of division of labour and coordination,and adoption of diversified incentives,etc.,so as to facilitate the high-quality development of public hospitals.