Naringenin (4,5,7-trihydroxyflavonoid) is a naturally occurring bioflavonoid found in citrus fruits, which plays an important role in metabolic syndrome, neurological disorders, and cardiovascular diseases. However, the pharmacological mechanism and biological function of naringenin on anti-angiogenesis and anti-tumor immunity have not yet been elucidated. Our study firstly demonstrates that naringenin inhibits the growth of hepatocellular carcinoma (HCC) cells both in vivo and in vitro. Naringenin diminishes the ability of HCC cells to induce tube formation and migration of human umbilical vein endothelial cells (HUVECs) and suppresses neovascularization in chicken chorioallantoic membrane (CAM) assays. Meanwhile, in vivo results demonstrate that naringenin can significantly upregulate level of CD8⁺ T cells, subsequently increasing the level of immune-related cytokines in the tumor immune microenvironment. Mechanistically, we found that naringenin facilitate the K48-linked ubiquitination and subsequent protein degradation of vascular endothelial growth factor A (VEGFA) and mesenchymal-epithelial transition factor (c-Met), which reduces the expression of programmed death ligand 1 (PD-L1). Importantly, combination therapy naringenin with PD-L1 antibody or bevacizumab provided better therapeutic effects in liver cancer. Our study reveals that naringenin can effectively inhibit angiogenesis and anti-tumor immunity in liver cancer by degradation of VEGFA and c-Met in a K48-linked ubiquitination manner. This work enlightens the potential effect of naringenin as a promising therapeutic strategy against anti-angiogenesis and anti-tumor immunity in HCC.

OBJECTIVES: This study aimed to investigate the perception of dental outpatient care quality from multiple perspectives of administrators, physicians, nurses, and patients and propose nursing care quality evaluation indices that are consistent with the clinical reality to provide reference for the construction of a scientific, systematic, and comprehensive dental outpatient care quality evaluation system. METHODS: A total of 39 interviewees, including 7 administrators, 11 doctors, 11 nurses, and 10 patients, were selected for semi-structured in-depth interviews in five regionally representative tertiary-level A stomatological specialty hospitals nationwide during January-April 2024 by using a multistage sampling method. Colaizzi 7-step analysis was used to analyze and summarize the interview data. Themes were extracted on the basis of the Structure-Process-Outcome (SPO) three-dimensional quality assessment model. RESULTS: Five main themes and 15 secondary themes were extracted from three quality dimensions: structure, process, and result. The related topics of structural quality were as follows: disinfection and isolation norms, equipment and consumable management, nursing manpower ratio and nurse education structure, and emergency capability. The related topics of process quality were as follows: pre-diagnosis risk assessment, patient triage and guidance, communication and attitude, health education, humanistic care, continuous care, specialty operation, and four-hand operation. The related topics of result quality were as follows: satisfaction, adverse event management and analysis, effective complaints and disputes. CONCLUSIONS Structure quality is the foundation, process quality is the core, and result quality is the key in the evaluation of the quality of oral outpatient care. The standardization of disinfection and isolation, equipment and consumable management, allocation of reasonable nursing manpower and post capacity, implementation of high-quality nursing services, and improvement of the quality and satisfaction of medical cooperation are necessary guarantees to ensure the quality of oral outpatient care.
Humans ; Quality of Health Care ; Ambulatory Care/standards* ; Dental Care/standards* ; Outpatients

OBJECTIVES: This study aimed to construct an evaluation index system for nursing quality management in outpatient dental clinics based on the structure-process-outcome model and provide an objective standard for the evaluation of nursing quality in outpatient dental clinics. METHODS: Through literature review, multi-subject interviews, and expert meetings, the first draft of the evaluation index for nursing quality management in outpatient dental clinics was formulated. The Delphi method was adopted to select and invite 15 experts in the fields of hospital infection management, nursing management, and specialized oral care from across the country to modify the first draft. RESULTS: The positive coefficients of the experts in the two rounds of consultation were 86.7% and 92.3%, respectively. The total authority coefficients of the experts were 0.791 and 0.717, respectively. The mean scores of the importance and feasibility of the third-level indices in the two rounds of consultation were all ≥4.333; the coefficients of variation were all ≤0.150; and the Kendall's coordination coefficients were 0.308 and 0.184 respectively, with P<0.05 for all. These results indicated that the experts were motivated to participate in this study. They recognized the importance and feasibility of the overall items in this index system, and their opinions were relatively consistent. Finally, an evaluation index system, which included 3 first-level indices, 7 second-level indices, 22 third-level indices, and 69 index connotations, for nursing quality management in outpatient dental clinics was determined. The weights of the three first-level indicators were all 0.333. Patient satisfaction (0.076, outcome dimension), hand hygiene (0.061, outcome dimension), chair care ratio (0.057, structural dimension), and turnover rate (0.057, structural dimension) were the top tertiary indicators in terms of portfolio weight. CONCLUSIONS The construction method of the evaluation index system for nursing quality management in outpatient dental clinics is scientific and reliable. It can provide a reference for the evaluation of the management level of nursing quality in outpatient dental clinics and promote the continuous improvement of nursing quality in outpatient dental clinics.
Humans ; Dental Clinics ; Delphi Technique

Objective: To assess the presence of vector-borne pathogens [including Zika virus (ZIKV), dengue virus (DENV), chikungunya virus (CHIKV), and Plasmodium (PLAS)] among voluntary blood donors in Wenshan Zhuang and Miao Autonomous Prefecture (referred to as Wenshan), so as to provide a basis for formulating blood safety-related strategies. Methods: Blood samples from voluntary blood donors in Wenshan from June to August 2022 to 2024 were selected. Real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to test 20 426 samples for ZIKV RNA, DENV RNA, and CHIKV RNA; and 19 765 samples were tested for PLAS DNA. Results: All 20 426 samples tested for ZIKV RNA, DENV RNA, and CHIKV RNA were negative; similarly, all 19 765 samples tested for PLAS DNA were negative. Conclusion: The risk of ZIKV, DENV, CHIKV, and PLAS infection among voluntary blood donors in Wenshan is relatively low. Routine surveillance for these pathogens as endemic diseases is not currently warranted. It is recommended to adjust the screening strategy based on the dynamic situation of local epidemiology control and prevention.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Child ; Humans ; Granulomatous Disease, Chronic/complications* ; Pneumonia

Objective:To explore the expression of family with sequence similarity 83 member A (FAM83A) in colorectal cancer, and the effect of FAM83A knockdown on the proliferation of colorectal cancer cells and the related mechanism.Methods:The expression of FAM83A in the tissues of 102 patients with colorectal cancer and its adjacent tissues was detected by immunohistochemistry. HCT116 cells were divided into experimental group and control group. The experimental group cells were transfected with FAM83A-siRNA plasmid, and the control group cells were transfected with MOCK-siRNA plasmid. The mRNA content of FAM83A in each group was detected by fluorescence quantitative PCR. The expressions of FAM83A, P13K, p-AKT and p-mTOR in each group were detected by Western blot. CCK8 assay and clonogenesis assay were used to detect cell proliferation.Results:The positive rate of FAM83A in colorectal cancer patients was 88.23% (90 cases /102 cases), and the expression rate of FAM83A in paracancer tissues was 10.78% (11 cases /102 cases). The expression rate of Fam83a in colorectal cancer tissues was significantly higher than that in paracancer tissues, with statistical significance ( P<0.001). After siRNA transfection, the mRNA expression levels of FAM83A in HCT116 cells of the experimental group and control group were 1.23±0.20 and 0.43±0.12, respectively, and the protein expression levels of FAM83A were 1.19±0.11 and 0.23±0.08, respectively. The expression levels of P13K were 1.21±0.17 and 0.28±0.09, the expression levels of p-AKT were 1.35±0.23 and 0.57±0.18, and the expression levels of p-mTOR were 1.48±0.20 and 1.05±0.14. The expression of P13K, p-Akt and p-mTOR was down-regulated (all P<0.05). The absorbance of HCT116 cells in the experimental group and the control group was 1.09±0.22 and 2.21±0.27, respectively. The cloning rate of HCT116 cells in the experimental group and the control group was 21.6%±2.4% and 62.7%±4.1%, respectively. The proliferation ability of HCT116 cells in the experimental group decreased significantly ( P<0.05) . Conclusions:The expression of FAM83A is significantly increased in colorectal cancer tissues, which may be related to the malignant degree of colorectal cancer. FAM83A affects the proliferation of colorectal cancer cells through the P13K/AKT/mTOR signaling pathway.