ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective To investigate the effects of low, mid, and high flux smoothness modes on plan quality, treatment efficiency, equipment loss, and clinical economic benefits in fixed-field intensity-modulated radiotherapy for cervical cancer, and establish a decision-making model for parameter optimization and economic benefits. Methods Fifteen patients with cervical cancer undergoing radiotherapy were selected. Using the Monaco system and adjusting only the flux smoothness parameter, low, mid, and high plans were designed for each patient. Dosimetric differences were compared for the target volume (D₂, D₉₈, D_mean, homogeneity index, conformity index) and organs at risk (small intestine, rectum, colon, bladder, femoral head). The number of segments, monitor units, and their correlations with treatment efficiency and equipment loss were analyzed, as well as the potential impact on clinical costs. Results There were statistically significant differences in the three groups' planned target areas D₂, D₉₈, D_mean, CI, HI, and the dose parameters of organs at risk (P<0.001), but the absolute differences were all lower than the clinical tolerance limits in the ICRU 83 report (±3% – ±5%), with an effect size d<0.5 (except for the small intestine with d = 0.51). There was no clinical significance. Compared with the mid mode, the high mode had a 13.3% reduction in the number of subfields (effect size d = 0.85), a 11.6% reduction in machine jumps (d = 1.0), and a 13.0% reduction in treatment time. Based on the mid mode, the relative loss rate of the accelerating tube in the high mode was 11.6%, the theoretical risk change rate of equipment failure was 12.7%, and the accelerating tube lifespan was extended by approximately 1.2 years. Comprehensive economic benefits: Calculated based on 1,200 treatments per year, the annual cost savings are approximately 920,000 yuan. Conclusion Adoption of the high flux smoothness mode in fixed-field intensity-modulated radiotherapy for cervical cancer using the Monaco system can significantly enhance treatment efficiency and reduce operating costs while ensuring dosimetric quality. It is recommended for routine clinical use.

ObjectiveTo systematically characterize the in vitro chemical constituents of Entada phaseoloides and its absorbed prototype compounds and metabolites in a neuropathic pain （NP） model， thereby elucidating the potential pharmacological material basis underlying its analgesic activity. MethodsUltra-high-performance liquid chromatography coupled with quadrupole-Orbitrap high-resolution mass spectrometry （UHPLC-Q-Orbitrap HRMS） was used to analyze the constituents of the 80% methanol extract of E. phaseoloides. Thirty-six mice were divided into a blank group， low-， medium-， and high-dose E. phaseoloides extract groups （25， 50， and 100 mg·kg^-1， respectively）， an aspirin group （400 mg·kg^-1）， and a morphine group （10 mg·kg^-1）， with six mice in each group. The tail-flick threshold was measured. Twenty-four mice were randomly divided into a blank group and low-， medium-， and high-dose E. phaseoloides extract groups （25， 50， and 100 mg·kg^-1， respectively）， with six mice in each group， and motor coordination was evaluated. A spinal nerve ligation （SNL） model was established in mice. Twenty-four mice were randomly divided into a sham-operated （Sham） group， an SNL group， an SNL + E. phaseoloides extract group （750 mg·kg^-1）， and an SNL + pregabalin group （20 mg·kg^-1）， with 6 mice in each group. Mechanical allodynia and thermal hyperalgesia were evaluated. Behavioral assessments were combined to determine the optimal onset time of the analgesic effect， and plasma samples were collected at this time point. Absorbed components and metabolites were systematically identified based on accurate mass， MS/MS fragmentation patterns， retention time， and comparisons with literature data and reference standards. Meanwhile， network pharmacology， target similarity analysis， and molecular docking validation were integrated to evaluate the potential effects of absorbed components on disease intervention. ResultsCompared with the blank group， the high-dose E. phaseoloides extract group and morphine group showed significantly increased pain response thresholds （P<0.01）， without affecting motor coordination in normal mice. Compared with the Sham group， the SNL group exhibited significantly decreased thresholds for mechanical allodynia and thermal hyperalgesia （P<0.01）. Compared with the SNL group， the SNL + E. phaseoloides extract group and SNL + pregabalin group showed significantly increased thresholds for mechanical allodynia and thermal hyperalgesia （P<0.01）. The analgesic effect of E. phaseoloides was most significant at 2 h after administration. A total of 70 constituents were identified in vitro， and 22 prototype compounds and 29 metabolites were detected in plasma. The targets of the absorbed components were mainly enriched in biological processes associated with pain signal perception and transmission and showed a high degree of overlap with disease genes related to neuropathic pain. In addition， multiple components exhibited strong binding energies with core pain-related targets. Based on integrated analysis of in vitro content， plasma exposure levels， and target associations， ketanthamide A-β-D-pyranoside and ketengzide were identified as the most representative pharmacologically active substances responsible for the analgesic effect. ConclusionThis study systematically elucidates the material basis of E. phaseoloides intervention in neuropathic pain from three aspects， including chemical constituent characteristics， in vivo behavioral characteristics， and potential targets， providing important theoretical foundations and experimental support for further studies on its pharmacological mechanism and analgesic drug development.

Hyperlipidemia is a common metabolic disorder driven by dysregulated lipid metabolism， whose pathological progression involves multifaceted interactions across various signaling pathways， including disrupted cholesterol homeostasis， insulin resistance， chronic inflammation， and oxidative stress. Although existing clinical medications such as statins can effectively reduce low-density lipoprotein cholesterol through single-target inhibition， significant limitations remain in comprehensively improving reverse cholesterol transport， metabolic inflammation， and coordinated regulation of glucose and lipid metabolism. Curcumin， the primary polyphenolic active compound derived from the traditional medicinal herb turmeric， exhibits multi-dimensional pharmacological effects including modulation of lipid metabolism， improvement of insulin sensitivity， suppression of inflammatory responses， and enhancement of antioxidant defense. This review systematically integrates the multi-target regulatory network of curcumin， elucidating its key mechanisms： Balancing the low density lipoprotein receptor/proprotein convertase subtilisin/kexin type 9 （LDLR/PCSK9） signaling pathway to promote reverse cholesterol transport， activating peroxisome proliferator-activated receptor α/γ （PPARα/γ） signaling pathways to coordinate glucolipid metabolic homeostasis， remodeling the gut microbiota-bile acid axis， inhibiting nuclear factor kappa-B （NF-κB）-mediated inflammatory responses， and activating the nuclear factor erythroid 2-related factor 2/antioxidant response element （Nrf2/ARE） antioxidant signaling pathway. Furthermore， supported by clinical research data， the review validates curcumin's therapeutic potential in reducing total cholesterol （TC） and triglyceride （TG） levels， increasing high-density lipoprotein cholesterol （HDL-C）， as well as improving vascular endothelial function and insulin sensitivity. The study highlights the multi-target regulatory properties of curcumin and discusses future clinical applications based on nano-delivery systems and personalized treatment strategies， providing a theoretical basis and novel insights for the prevention and treatment of hyperlipidemia and related metabolic disorders.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

ObjectiveTo explore the mechanism of Jiebiao Qingli decoction （JQD） in treating pneumonia caused by influenza A virus （IAV） infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control （NC）， model control （IAV）， oseltamivir （OSV， 37.5 mg·kg^-1）， and high-， medium-， low-dose JQD （H-， M-， and L-JQD： 6.05， 3.02， and 1.51 g·kg^-1， respectively） groups. The NC group was treated with normal saline nasal drops， and the other groups were intranasally inoculated with A/Brisbane/02/2018 （H1N1） ［pdm09-like virus （H1N1）］ for the modeling of IAV infection. Two hours post-modeling， the NC and IAV groups were administrated with normal saline by gavage， while other groups received corresponding drugs for 7 d. The body mass， survival status， and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7， the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was conducted to measure the viral load （IAV-M） and the mRNA levels of Toll-like receptor 7 （TLR7）， p38 mitogen-activated protein kinase （p38 MAPK）， and nuclear factor-kappa B （NF-κB） in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 （IL-2）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α）. ResultsCompared with the NC group， the IAV group showed reduced survival quality and survival days （P<0.01）， lung congestion， inflammatory cell infiltration， elevated lung index （P<0.01）， increased viral load （P<0.01）， upregulated TLR7， p38 MAPK， and NF-κB levels （P<0.05， P<0.01）， decreased IL-2 level （P<0.01）， and elevated IL-6 and TNF-α levels （P<0.01）. Compared with the IAV group， H-JQD prolonged survival days （P<0.05）. All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index （P<0.01）. M-JQD and H-JQD decreased the viral load （P<0.01）. H-JQD downregulated the mRNA levels of TLR7， p38 MAPK， and NF-κB （P<0.05， P<0.01） and the protein levels of p38 MAPK and NF-κB （P<0.01）， increased the serum IL-2 level （P<0.01）， and lowered the IL-6 and TNF-α levels （P<0.05， P<0.01）. M-JQD downregulated the mRNA level of NF-κB （P<0.01） and the protein level of p38 MAPK （P<0.05）， elevated the IL-2 level （P<0.01）， and lowered the TNF-α level （P<0.01）. ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway， increasing IL-2， and reducing excessive secretion of IL-6 and TNF-α.

Objective:To screen out the differentially expressed genes(DEGs)in multiple primary lung cancers(MPLCs)using bioinformatics methods,and to analyze their biological functions and their influence in the prognosis of lung adenocarcinoma.Methods:Single-cell transcriptome sequencing data(GSE200972)was downloaded from the Gene Expression Omnibus(GEO)database.After preliminary data processing with R software,the Seurat R package was used for data processing,cell clustering,and annotation.The clusterProfiler R package was used for Gene Set Enrichment Analysis(GSEA).The STRING database and Cytoscape software were employed to construct the protein-protein interaction(PPI)network and to screen out the key genes(Hub genes).The gene expression levels in the lung adenocarcinoma database were analyzed using Gene Expression Profiling Interactive Analysis(GEPIA)database.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the gene expression in tumor tissue of A549 xenograft mice and lung tissue of normal mice.Kaplan-Meier Plotter was used for prognosis analysis.Results:Seven cell types were identified from cell clustering analysis,which were epithelial cells,endothelial cells,fibroblasts,T cells and natural killer(NK)cells,B cells,myeloid cells,and mast cells.A total of 14 605 DEGs were screened out between tumor epithelial cells and normal epithelial cells.The GSEA results revealed four activated pathways in tumor samples[myelocytomatosis oncogene(MYC)pathway,P53 pathway,oxidative phosphorylation pathway and glycolysis pathway]and one inhibited pathway[tumor necrosis factor-α(TNF-α)and nuclear factor kappa B(NF-κB)pathway].The Hub genes identified from PPI network included CXC motif chemokine ligand 8(CXCL8),glyceraldehyde-3-phosphate dehydrogenase(GAPDH),CXC motif chemokine receptor 4(CXCR4),kirsten rat sarcoma viral proto-oncogene(KRAS),CXC motif chemokine ligand 1(CXCL1),C-C motif chemokine ligand 2(CCL2),mucin 1(MUC1),and secreted phosphoprotein 1(SPP1).The GEPIA database analysis and animal experiments showed that the expression levels of SPP1 mRNA in non-small cell lung cancer tissue were increased compared with normal lung tissue(P＜0.01).The Kaplan-Meier survival analysis indicated that the patients with high expression level of SPP1 had shorter overall survival(OS)than those with low expression level(P＜0.01).Conclusion:There are activation of oncogene-related pathways and activation of tumor suppressor pathway antagonizing tumor progression in MPLCs.Moreover,elevated expression of SPP1 in non-small cell lung cancer may indicate a relatively poor prognosis.

Objective To investigate the feasibility of selectively omitting ureteral stent placement after ureteroscopic lithotripsy(URL).Methods A total of 118 patients with distal ureteral calculi undergoing URL from 2021 to 2024 were enrolled.Patients were divided into a control group(indwelling ureteral stent for 2 weeks,n=86)and an observation group(no ureteral stent placement,n=32).General data,operation time,hospital stay,and total medical costs were compared between the two groups.Patients were followed 2 weeks postoperatively for assessment of flank pain visual analogue scale(VAS)scores,bladder irritation symptoms,hematuria,and incidence of urinary tract infection.Hydronephrosis was evaluated by ultrasonography 3 months after surgery.Results There was no significant difference in the general information and operation time between the two groups(P>0.05).The length of hospital stay and total treatment cost in the observa-tion group were significantly lower than those in the control group(P<0.05).Two weeks after surgery,the VAS scores of low back pain on the affected side and occurrence rates of bladder irritation symptoms,hematu-ria,and urinary tract infection in the observation group were significantly lower than those in the control group(P<0.01).Three months after operation,no hydronephrosis was observed in both groups.Conclusion It is safe and feasible to avoid indwelling ureteral stent after URL in appropriate cases.

Objective To investigate the accuracy of prostate imaging and reporting data system(PI-RADS)score in diagnosing prostate cancer(PCa)with different prostate-specific antigen(PSA)levels.Methods Patients who underwent multiparametric magnetic resonance imaging scanning with biopsy of the prostate to obtain pathological confirmation in The First Affiliated Hospital of Naval Medical University(Second Military Medical University)between Jan.2017 and Jun.2023 were enrolled,and serum total PSA(t-PSA),free PSA(f-PSA),the ratio of free PSA to total PSA(f/t PSA)and PI-RADS scores were summarized in all patients.The accuracy of PI-RADS score in diagnosing PCa was analyzed at different PSA levels using pathology of the prostate biopsy as the gold standard.Results A total of 2 526 patients were enrolled and categorized into 7 groups according to the PSA level:0-4 ng/mL,＞4-10 ng/mL(f/t PSA≥0.16),＞4-10 ng/mL(f/t PSA＜0.16),＞10-20 ng/mL,＞20-50 ng/mL,＞50-100 ng/mL,and＞100 ng/mL.In all patients,the sensitivity of PI-RADS≥3 in diagnosing PCa was 90.0％,which was superior to PI-RADS≥4(sensitivity:76.3％).Among the patients with PSA≤4 ng/mL,the accuracy of PI-RADS≥4 in diagnosing PCa was higher than that of PI-RADS≥3(87.7％vs 64.0％).With the increase of PSA levels,the diagnostic accuracies of PI-RADS≥4 and PI-RADS≥3 were gradually increased and tended to be the same.When PSA was＞50-100 ng/mL,the diagnostic accuracies of PI-RADS≥4 and≥3 were 90.7％and 92.0％,respectively.Conclusion At higher PSA levels,the accuracies of PI-RADS scores in diagnosing PCa are higher,which can reduce unnecessary puncture of patients.