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.

ObjectiveTo evaluate the clinical efficacy of Xu's Shenqiyizhu （SQYZ） decoction combined with chemotherapy in the treatment of cancer-related fatigue （CRF） of stagnated-toxin spleen deficiency type after gastric cancer surgery and explore its possible mechanism. MethodsFifty postoperative gastric cancer patients with CRF of stagnated-toxin spleen deficiency type were selected and randomly divided into an experimental group and a control group by using a random number table，with 25 cases in each group. The control group was treated with FLOT chemotherapy （50 mg·m^-2 docetaxel （iv drip on day 1） + 85 mg·m^-2 oxaliplatin （iv drip on day 1） + 200 mg·m^-2 calcium folinate （iv drip on day 1） + 2 600 mg·m^-2 fluorouracil （iv drip for 24 h on day 1），once every three weeks） and basic and symptomatic supportive treatment. The experimental group was treated with Xu's SQYZ decoction （decocted twice，200 mL taken orally twice a day） in addition to the treatment of the control group. One course of treatment lasted for three weeks，with a total of four courses conducted. Observation was performed on the piper fatigue scale （PFS） scores，karnofsky performance status （KPS） scores，European Organization for Research and Treatment of cancer quality of life questionnaire （EORTC QLQ-C30） scores，traditional Chinese medicine syndrome scores，and serum levels of tumor necrosis factor-α （TNF-α），interferon-γ （IFN-γ），and interleukin-6 （IL-6）detected via enzyme linked immunosorbent assay （ELISA） before and after treatment in the two groups. The safety test results before and after treatment for the two groups of patients，as well as the occurrence of adverse events during treatment， were recorded. Transcriptome sequencing data of peripheral blood samples from gastric adenocarcinoma patients and normal individuals were downloaded from the gene expression omnibus （GEO） database，and differentially expressed genes between the tumor and normal groups were identified. Differential gene enrichment analysis was made based on the Kyoto Encyclopedia of Genes and Genomes （KEGG） and Gene Ontology （GO）. The CRF relevance scores of genes were retrieved from the GeneCards database. Results① Compared with that before treatment，the total PFS score in the experimental group was significantly reduced （P<0.05）. Compared with the control group after treatment，the experimental group showed significantly reduced total PFS score （P<0.05）. ② Compared with that before treatment，the KPS score in the experimental group decreased significantly （P<0.05）. Compared with the control group after treatment，the experimental group exhibited a significantly decreased KPS score （P<0.05）. The experimental group demonstrated significantly increased functional scores （physical function，role function，emotional function，social function，and overall health） （P<0.05） and significantly reduced symptom scores （fatigue，shortness of breath，loss of appetite，constipation，and diarrhea） of the EORTC QLQ-C30 scale after treatment compared with before treatment. Compared with the control group after treatment，the experimental group presented significantly increased functional scores （physical function，emotional function，social function，and overall health） （P<0.05） and significantly reduced symptom scores （fatigue，nausea and vomiting，shortness of breath，loss of appetite，and diarrhea） of the EORTC QLQ-C30 scale （P<0.05）. Compared with those before treatment，the traditional Chinese medicine syndrome scores （eating too little and poor digestion，fatigue and weakness，postprandial bloating，abnormal bowel movements，lassitude and weakness，and total score） in the experimental group were significantly reduced （P<0.05）. Compared with the control group after treatment，the experimental group had significantly reduced traditional Chinese medicine syndrome scores （eating too little and poor digestion，fatigue and weakness，nausea and vomiting，and sallow complexion） （P<0.05）， which indicated better efficacy in the experimental group than in the control group （χ²=7.996，P<0.05）. The serum levels of TNF-α，IL-6，and IFN-γ were significantly correlated with each other （P<0.01）. Compared with those before treatment，the levels of serum cytokines TNF-α，IL-6，and IFN-γ in the experimental group were significantly reduced （P<0.05）. Compared with the control group after treatment，the experimental group showed significantly reduced serum levels of cytokines TNF-α，IL-6，and IFN-γ （P<0.05）. ③ There were no significant intra-group and inter-group differences in the safety test results of the two groups before and after treatment. During the treatment period，there was no significant difference in the incidence of adverse reactions between the two groups of patients. ④ Compared with the normal group，the tumor group exhibited a total of 328 significantly up-regulated genes in the peripheral blood （P<0.05），and KEGG and GO analyses showed that they were significantly enriched in signaling pathways such as TNF （P<0.05）. ⑤ TNF，IL6，IFNG， and other cytokine encoding genes may be key pathogenic genes for CRF. ConclusionXu's SQYZ decoction can alleviate symptoms such as fatigue in postoperative chemotherapy patients with gastric cancer and improve their functional status and quality of life. Its mechanism may be related to improving cytokine imbalance.

Objective:To identify the main components of Huanglian Jiedu Decoction(HLJDD)using ultra-high-performance liquid chromatography-quadrupole-time of flight-mass spectrometry(UPLC-Q-TOF-MS),and to explore the potential mechanism of action of HLJDD in the treatment of gouty arthritis(GA)using network pharmacology and molecular docking methods.Methods:We identi-fied the chemical components of HLJDD by combining UPLC-Q-TOF-MS data acquired in both positive and negative ion modes with reference standards,relevant literature,and database searches.We analyzed the potential therapeutic mechanism of HLJDD for GA by using network pharmacology to determine the intersection targets between the active ingredients of HLJDD and GA for further enrich-ment analysis and visual network mapping.The binding affinity of the active ingredients with the intersection targets was validated through molecular docking.Results:A total of 47 components were identified by UPLC-Q-TOF-MS;54 key components of HLJDD for GA treatment and 37 intersection targets were determined by net-work pharmacology;and the top 10 key targets by Degree value were obtained by protein-protein interaction analysis.The Gene On-tology functional enrichment analysis revealed 20 biological pro-cesses,7 cellular components,and 8 molecular functions.The Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis demonstrated 96 GA-related intervention pathways,in which inflammatory signaling pathways such as interleukin-17(IL-17)and tu-mor necrosis factor(TNF)were involved.Molecular docking verified that the key components of HLJDD had high binding affinity with the core targets.Conclusion:The identified key components in HLJDD,such as phellodendrine,coptisine,wogonin,and β-sitosterol,may alleviate GA by regulating multiple core targets in the IL-17 and TNF pathways,such as PTSG2,which provides a theoretical ba-sis for future investigation into the mechanism of action of HLJDD.

Hepatic encephalopathy(HE),a neuropsychiatric syndrome caused by acute or chronic liver failure or portosystemic shunting,is characterized by metabolic disturbances and varying degrees of cognitive dysfunction.HE is one of the most common complications and is the leading cause of mortality in cirrhotic patients.Although the exact pathogenesis of HE has not yet been fully elucidated,recent advances have improved our understanding of its pathophysiology,leading to evolving therapeutic strategies.This review summarizes the mechanisms underlying HE and the latest progress in its treatment,aiming to enhance the knowledge and improve diagnosis and therapy.

On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.

Objective To observe the effects of asiaticoside on renal fibrosis in diabetic nephropathy(DN)rats by regulating the Hippo-yes-associated protein(YAP)/transcriptional co-activator with PDZ-binding motif(TAZ)signaling pathway.Methods A DN rat model was established by feeding a high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin(STZ).The successfully modeled rats were randomly divided into model group,low-and high-dose asiaticoside groups,and high-dose asiaticoside+XMU-MP-1(Hippo-YAP/TAZ pathway activator)group,with a normal group set as control.After group intervention,blood urea nitrogen(BUN),serum creatinine(SCr),fasting blood glucose(FBG),and 24-hour urinary protein levels were measured.Hematoxylin-eosin(HE)staining was used to observe renal histopathological changes,Masson staining was used to assess renal fibrosis,and Western Blot was used to detect the protein expressions of YAP and TAZ in renal tissue.Results Compared with the normal group,the model group showed disordered renal tissue structure,enlarged and irregular cystic cavities,enlarged renal tubules with thickened basement membranes,inflammatory cell infiltration,and significant collagen deposition in the glomeruli,renal tubules,and vascular walls.The levels of FBG,BUN,SCr,24-hour urinary protein,and the protein expressions of YAP and TAZ in renal tissue were significantly increased(P＜0.05).Compared with the model group,the low-and high-dose asiaticoside groups showed significant improvement in renal tissue damage and fibrosis,with reduced levels of FBG,BUN,SCr,24-hour urinary protein,and decreased protein expressions of YAP and TAZ in renal tissue(P＜0.05).Compared with the high-dose asiaticoside group,the high-dose asiaticoside+XMU-MP-1 group showed a reversal in all the above indicators.Conclusion Asiaticoside may alleviate renal fibrosis and improve renal injury in DN rats by inhibiting the Hippo-YAP/TAZ pathway.

ObjectiveTo analyze the changes in the degree of coordination of China's major epidemic prevention and control efforts before and after the outbreak of the Corona Virus Disease 2019 (COVID-19), so as to explore the impact of epidemic prevention and control measures on coordination dynamics. MethodsA total of 3 864 policy documents related to epidemic prevention and control from January 2000 to December 2020 across 31 provinces (autonomous regions, and municipalities) in China were systematically collected. Contents specific to collaborative and cooperative efforts were extracted, and the extent of interdepartmental coordination were quantified to assess the effectiveness of epidemic prevention and control efforts. Wilcoxon signed-rank test was adopted to statistically analyze the differences between the indicators before and after the epidemic. ResultsThe average overall coordination level for major epidemic prevention and control in 31 provinces (autonomous regions, and municipalities) increased from 43.06% to 97.62%, and the average coordination levels in the eastern, central, and western China soared from 42.29%, 37.50%, and 47.46%, to 98.81%, 96.20%, and 97.46%, respectively, with statistically significant differences (all P<0.05). In terms of department categorization, coordination levels in the professional departments and the key support departments peaked at 100.00%, while other support departments rose to 95.43%, with an increase of 77.15%, 181.85%, and 139.89%, respectively, exhibiting noteworthy statistically significant differences (all P<0.001). ConclusionThe scope of coordination departments of China’s major epidemic prevention and control exists a remarkable surge following the COVID-19 outbreak, notable heightened coordination is particularly observed among the key support departments. Future endeavors should prioritize the roles played by diverse departments in epidemic prevention and control, enhancing both the clarity of departmental responsibilities and the effectiveness of interdepartmental coordination.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.