ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, characterized by poor prognosis due to its high proliferative and invasive potential. Tumor metabolic reprogramming, particularly involving glucose metabolism, is essential for tumor survival. This study investigates the role of the Hippo pathway effector transcriptional co-activator with PDZ-binding motif (TAZ) in regulating gluconeogenesis and promoting tumorigenesis in HCC. Methods: TAZ expression in HCC was analyzed using The Cancer Genome Atlas data and validated in clinical samples and cell lines. TAZ was overexpressed or silenced in HCC cell lines to evaluate its effects on cell proliferation, apoptosis, migration, and invasion. The expression and prognostic relevance of the gluconeogenesis-related genes phosphoenolpyruvate carboxykinase 1 (PCK1) and glucose-6-phosphatase (G6PC) were examined, along with their correlation with TAZ expression. Tumor growth was assessed in nude mice. Interactions between TAZ and the glucocorticoid receptor (GR) were investigated using co-immunoprecipitation, immunofluorescence, and chromatin immunoprecipitation assays. Results: TAZ was significantly upregulated in HCC tissues and cell lines. TAZ overexpression enhanced proliferation, reduced apoptosis, and promoted migration and invasion. In contrast, PCK1 and G6PC were downregulated in HCC and showed a negative correlation with TAZ expression. Conclusion TAZ modulates gluconeogenesis and accelerates tumor growth, whereas its knockdown attenuates tumor progression. TAZ interacts with GR, suppressing its transcriptional activity on gluconeogenic gene promoters.

Mass spectrometry imaging （MSI） is an emerging molecular imaging technique that combines high spatial resolution and the ability to acquire molecular information. This technology can directly obtain spatial distribution maps of metabolites, proteins, lipids and other molecules in tumor tissues, reveal the abnormal molecular changes during the occurrence and development of liver cancer, and make up for the deficiency of information at the molecular level in traditional imaging （such as CT, MRI）. In liver cancer research, MSI has demonstrated unique advantages and application potential in early diagnosis and screening, precise classification, tumor heterogeneity analysis, and exploration of molecular mechanisms. The principle characteristics of MSI technology and its latest progress in the early diagnosis, classification and molecular mechanism research of liver cancer were reviewed, and the current challenges and future development directions were discussed, which aimed to provide a new perspective and theoretical basis for an in-depth understanding of the pathological mechanism of liver cancer and promoted its precise diagnosis and treatment.

Objective To investigate the in vitro drug release behavior of hydroxyapatite-wedelolactone(Hap-Wed)and its effect on promoting osteogenic differentiation of bone marrow mesenchymal stem cells(BMSCs).Methods The in vitro release behavior of Hap-Wed fusion materials was detected by chromatographic technique.After the cells were passed continuously up to the third generation,they were divided into:① control group:complete medium;② Os group:osteogenic inducer(1mmol/L dexamethasone,10mmol/L vitamin C,1mol/L β-glycerol phosphate);③ Wed group:1μg/ml Web and osteogenic inducer were added to the complete medium;④ Hap-Web group:1 μg/ml Web,osteogenic inducer and Hap were added to the complete medium.Alkaline phosphates(ALP)activity assay,alizarin red S staining assay,real-time quantitative polymerase chain reaction(RT-qPCR)detection of osteocalcin,Osterix and Runx2 gene expression,analysis of Hap-Wed on BMSCs osteoblast differentiation.Results Hap-Wed fusion material released the drug slowly.Compared with control group,the number of ALP staining and the number of calcified nodules increased significantly in Hap-Wed experimental group.The Hap-Wed experimental group increased gene expression of osteocalcin,Osterix and Runx2.Conclusion Hap-Wed fusion material can slow and effective stimulation of osteoblast differentiation,which may provide a promising application prospect for the future development of the carrier material.

Objective To analyze chemical constituents of compound Maxing Shigan decoction by ultra-high perfor-mance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). Methods The separation was performed on a UPLC BEH C₁₈ column (2.1 mm×100 mm, 2.5 µm)，with a gradient elution applying 0.1% aqueous formic acid solution and 0.1% formic acid acetonitrile as a mobile phase. The column temperature was 40 °C. The flow rate was 0.4 ml/min and the analysis time was 15 min. Mass spectrometry (MS) data were collected in both positive and negative ESI ion modes. Results Through UPLC-QTOF/MS analysis and reference validation, a total of 59 chemical components in Maxing Shigan decoction were identified. Conclusion An ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) method was established to identify the chemical components of Maxing Shigan decoction. This method is simple, efficient, sensitive and accurate, and provides a basis for the elucidation of the pharmacodynamic material basis and mechanism of Maxing Shigan decoction. It can provide data reference for the optimization of the compatibility of traditional Chinese medicine in the treatment of COVID-19.

Twelve derivatives of asiatic acid were synthesized through acylation, alkylation, oxidative dehydrogenation and other reactions using asiatic acid from usoxane-type pentacyclic triterpenoids as the parent compound. Their structures were confirmed by 1H NMR and 13C NMR, and determined to be novel compounds never reported in literature. Through the MTT method, high-expression human cancer cells (A549 and SGC-7901) were selected for a preliminary in vitro anti-tumor activity study on these compounds. Among them, the IC50 of compound I1 were 11.39 and 9.08 μmol/L respectively, and those of compound I2 were 12.64 and 9.15 μmol/L respectively, which were close to those of sorafenib, a common drug for clinical use. The experimental results show that the synthesized asiatic acid derivatives have certain anti-proliferative effects on the two types of human cancer cells, A549 and SGC-7901, significantly higher than those of asiatic acid. Compounds I1 and I2 show quite strong anti-proliferative effects on human cancer cells A549 and SGC-7901.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective To establish an ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS)method for identifying the active ingredients of Zhizi Houpu decoction,and to predict its material basis and mechanism of anti-insomnia effects using network pharmacology.Methods The chemical components of Zhizi Houpu decoction were identified according to UHPLC-QTOF-MS ion fragmentation rule combined with compound library and literature review.Components with oral bioavailability(OB)≥30％and drug-like properties(DL)≥0.18 were selected to construct the Zhizi Houpu decoction-active ingredients-target network.The STRING database and the Database for Annotation,Visualization,and Integrated Discovery(DAVID)were used to screen key target proteins.Subsequently,enrichment analysis was performed for biological processes,molecular functions,cellular components,and signaling pathways.Results A total of 107 chemical components were identified,including 35 compounds related to insomnia and 11 anti-insomnia targets such as AKT serine/threonine kinase 1,tumor protein 53,and prostaglandin-endoperoxide synthase 2.Gene Ontology functional enrichment analysis indicated that Zhizi Houpo decoction may exert its effects through cellular components such as the presynaptic membrane,dendrite,and plasma membrane,by participating in biological processes like chemical synaptic transmission,G protein signaling pathway,and neuron apoptosis,and by regulating molecular functions such as G protein-coupled serotonin receptor activity.Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that its anti-insomnia effects were mainly concentrated in pathways such as neuroactive ligand-receptor interaction,calcium signaling pathway,serotonergic synapse,and cyclic adenosine monophosphate signaling pathway.Conclusion The anti-insomnia effect of Zhizi Houpo decoction is the result of a synergistic action involving multiple components,multiple targets,and multiple pathways.Its material basis and mechanism of action are primarily related to regulating biological processes such as neurotransmitter metabolism,synaptic function,neuronal apoptosis,and inflammatory response.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

The red doctor spirit is a precious spiritual wealth formed in the great practice of the Chinese Communist Party leading the Chinese revolution and creating and developing people’s health undertakings. It is also an important cultural resource for nurturing medical students’ professional identity. The red doctor spirit provides cognitive resources and spiritual guidance for the formation of medical students’ professional identity， prompting medical students to form emotional identity， value identity， and behavioral identity with the profession of doctor， there by enabling medical students to more clearly understand their own missions and development goals， enhance their confidence in engaging in medical and health work， and strengthen their beliefs in working hard for the construction of a healthy China. In practice， to further enhance the leading power of the red doctor spirit in the formation of medical students’ professional identity， it is essential to deepen classroom teaching of the red doctor spirit to provide theoretical guidance； to strengthen the clinical practice of the red doctor spirit to provide practical guidance； and to foster a campus cultural atmosphere infused with the red doctor spirit ， enabling medical students to naturally develop a sense of identification with the medical profession through immersive cultural influence.