Objective: To explore the association between types of obesity and 10-year risk of atherosclerotic cardiovascular disease (ASCVD) among hypertensive patients, so as to provide the basis for formulating ASCVD prevention strategies for hypertensive patients. Methods: From January to December 2021, hypertensive patients who were under follow-up management and completed health examinations at three community health service centers in Linping District, Hangzhou City were selected by a cluster sampling method. Basic information, lifestyle, disease history, height, weight, waist circumference (WC), and blood biochemical indicators were collected through health examination data. Based on assessments of body mass index (BMI) and WC, participants were categorized into four types: non-obese, general obesity only, central obesity only, and combined obesity. The Prediction for ASCVD risk in China (China-PAR) was used to assess 10-year ASCVD risk, which was categorized as low, moderate, and high risk. Multivariable logistic regression models were used to analyze the association between different types of obesity and ASCVD risk among hypertensive patients. Results: A total of 10 408 hypertensive patients were included, with a median age of 68.00 (interquartile range, 10.00) years. There were 4 301 (41.32%) males and 6 107 (58.68%) females. The proportions of non-obese, general obesity only, central obesity only, and combined obesity were 34.93% (3 635 individuals), 22.85% (2 378 individuals), 4.32% (450 individuals), and 37.90% (3 945 individuals), respectively. There were 3 389 (33.52%) cases at high risk of ASCVD. Among them, high ASCVD risk was observed in 1 107 (30.45%), 896 (37.68%), 122 (27.11%), and 1 364 (34.58%) patients with non-obese, general obesity only, central obesity only, and combined obesity, respectively. Multivariable logistic regression analysis showed that after adjusting for gender, age, smoking, drinking, physical activity, and diabetes, the risk of high ASCVD in hypertensive patients with general obesity only and combined obesity was 1.383 times (95%CI: 1.235-1.548) and 1.225 times (95%CI: 1.109-1.354) that of non-obese hypertensive patients, respectively. Conclusions General obesity only and combined obesity can increase the 10-year high risk of ASCVD among hypertensive patients. It is necessary to strengthen comprehensive management of body weight and WC among hypertensive patients to reduce the risk of ASCVD.

To investigate the efficacy and safety of glucocorticoids combined with cyclophosphamide (CTX) and rituximab (RTX) in elderly patients with anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis with renal involvement.

ObjectiveTo investigate whether Huanglian Jiedutang （HLJD） and its major active constituents （geniposide， baicalin， and berberine） can inhibit the inflammatory response of BV2 cells under lipopolysaccharide （LPS） stimulation via the high-mobility group protein B1 （HMGB1）/Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway， and to explore differences in therapeutic efficacy among the three monomers， their combined formula， and HLJD under equal content ratios. MethodsBV2 microglial cells were used as the primary experimental model. Cell viability was assessed using the cell counting kit-8 （CCK-8） method to examine the effects of different concentrations of dimethyl sulfoxide （DMSO， 0.8%， 0.4%， 0.2%， 0.1%， and 0.05%） on cell viability. IncuCyte was employed to monitor the growth of cells under different concentrations of HLJD （200， 100， 50， 25， 12.5， 6.25 mg·L^-1）. Nitric oxide （NO） assay was used to screen the optimal HLJD concentration. High-performance liquid chromatography （HPLC） determined the content of geniposide， baicalin， and berberine in HLJD， and experimental groups were subsequently established according to the relative proportions of these constituents. CCK-8 assay evaluated cell viability under different treatments. Enzyme-linked immunosorbent assay （ELISA） measured levels of inflammatory factors （TNF-α， IL-1β， IL-6， IL-10） in the supernatant. Flow cytometry assessed the effects of treatments on M1-type polarization of BV2 cells. Western blot determined the expression levels of HMGB1， TLR4， and NF-κB-related proteins. ResultsCompared with the blank group， DMSO at concentrations ≤0.2% did not affect cell viability within 48 h. BV2 cell growth plateaued at 24 h after treatment with 200 mg·L^-1 HLJD. Under stimulation with 2 mg·L^-1 LPS， this concentration of HLJD effectively reduced NO release， and 6 h pre-treatment had a stronger inhibitory effect on NO than direct administration. HPLC results showed that 1 mg of HLJD freeze-dried powder contained approximately 24 μg of geniposide， 15 μg of baicalin， and 30 μg of berberine. Based on these ratios， experimental groups were blank， LPS （2 mg·L^-1）， HLJD （200 mg·L^-1）， monomer combination， geniposide （4.8 mg·L^-1）， baicalin （3 mg·L^-1）， and berberine （6 mg·L^-1）. The monomer combination group consisted of all three active constituents dissolved together. LPS and HLJD or its active constituents did not affect cell viability compared with the blank group. LPS significantly increased TNF-α， IL-1β， IL-6， and IL-10 in the supernatant （P<0.01）. HLJD and its active constituents significantly reduced pro-inflammatory factors TNF-α， IL-1β， and IL-6 （P<0.05， P<0.01） while upregulating anti-inflammatory IL-10 （P<0.01）， with the monomer combination showing the strongest effect （P<0.05， P<0.01）. Compared with the blank group， LPS significantly increased the proportion of CD80⁺CD86⁺ （M1-type） BV2 cells （P<0.01）. HLJD and its constituents partially inhibited M1 polarization （P<0.05， P<0.01）， with the monomer combination exhibiting the most pronounced effect （P<0.05， P<0.01）. Compared with the blank group， LPS upregulated HMGB1， TLR4， and NF-κB-related proteins （P<0.01）， whereas HLJD and its active constituents significantly reduced their expression （P<0.05， P<0.01）， with the monomer combination having the strongest regulatory effect （P<0.05， P<0.01）. ConclusionHLJD and its major active constituents （geniposide， baicalin， berberine） can inhibit LPS-induced inflammatory responses in BV2 cells. The combination of the three active constituents demonstrates the most potent anti-inflammatory effect， significantly attenuating M1-type polarization of BV2 cells via the HMGB1/TLR4/NF-κB signaling pathway.

ObjectiveTo study the therapeutic mechanism of Xihuang Wan for hyperplasia of mammary glands based on network pharmacology， molecular docking， and cell experiments. MethodsThe active ingredients and targets of Xihuang Wan were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and A Bioinformatics Annotation daTabase for Molecular mechANism of Traditional Chinese Medicine （BATMAN-TCM） and supplemented by searching against PubChem and Swiss Target Prediction. The targets of differential metabolites in tissues and urine were obtained from previous metabolomics studies through PubChem and Swiss Target Prediction. GeneCards， Online Mendelian Inheritance in Man （OMIM）， PharmGKB， Therapeutic Target Database （TTD）， Drunbank were searched for the targets of hyperplasia of mammary glands. After the common targets were obtained via Veeny2.1.0， the STRING database was used to analyze the protein-protein interactions， and Cytoscape was used for the core target analysis and visualization. Gene Ontology （GO） and the Kyoto Encyclopedia of Genes and Genomes （KEGG） were employed for enrichment analysis. Molecular docking was carried out in Autodock， and cell experiments were conducted to verify the prediction results. In the cell experiments， estradiol and progesterone （E₂+P） were used to intervene in human mammary epithelial/MCF-10A cells， and thus the MCF-10A cell proliferation model was established. The cells were then treated with Xihuang Wan-medicated serum. The cell counting kit-8 （CCK-8） was used to measure the cell proliferation， and flow cytometry was used to detect apoptosis. The mRNA and protein levels of key factors in MCF-10A cells were determined by real-time PCR and Western blot， respectively. ResultsThe results of network pharmacology showed that 90 active ingredients and 316 common targets were obtained， from which 20 core targets and 38 corresponding active ingredients were screened out. The results of GO and KEGG enrichment analyses showed that Xihuang Wan exerted effect against hyperplasia of mammary glands by regulating a variety of biological processes， which may be related to protein kinase B （Akt）-related molecular functions， estrogen signaling pathway， prolactin signaling pathway and other biological processes. The results of molecular docking showed that estrogen receptor 1 （ESR1）， serine/threonine kinase 1 （Akt1）， non-receptor tyrosine kinase （SRC）， and signal transducer and activator of transcription 3 （STAT3） all had strong binding activity with the nine active ingredients， suggesting that Xihuang Wan exert the effect through the ESR1/SRC/phosphatidylinositol 3-kinase （PI3K）/Akt signaling pathway and the Janus kinase （JAK）/STAT3 signaling pathway. The results of cell experiments showed that E₂+P intervention in MCF-10A cells promoted the proliferation of MCF-10A cells （P<0.05）， while the Xihuang Wan-medicated serum inhibited the proliferation of MCF-10A cells exposed to E₂+P （P<0.05）. Flow cytometry showed that the Xihuang Wan-medicated serum promoted the apoptosis of MCF-10A cells exposed to E₂+P （P<0.01）. The results of Real-time PCR showed that the Xihuang Wan-medicated serum down-regulated the mRNA levels of PI3K， Akt， JAK2， and STAT3 in MCF-10A cells treated with E₂+P （P<0.01）. The results of Western blot showed that the Xihuang Wan-medicated serum inhibited the expression of p-PI3K/PI3K， p-Akt/Akt， p-JAK2/JAK2， and p-STAT3/STAT3 in MCF-10A cells treated with E₂+P （P<0.05）. ConclusionXihuang Wan may exert the effect against hyperplasia of mammary glands by inhibiting the proliferation and promoting the apoptosis of MCF-10A cells， which may related to the inhibition of the activation of PI3K/Akt and JAK2/STAT3 signaling pathways.

To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

Objective: To develop a smart blood donation service assistant for popularizing donation-related knowledge to blood donors via intelligent Q&A support, thereby enabling precise service delivery. Methods: Based on the operational scenarios of the Zhejiang Provincial Blood Center, the system utilized the open-source Dify platform for agent orchestration, and integrated with the DeepSeek model as the language processing engine to support online real-time interaction. External tools, including the Amap API and MySQL database queries, were encapsulated via the Model Context Protocol (MCP). A professional blood knowledge base for Retrieval-Augmented Generation (RAG) was constructed using the BGE-M3 embedding model. An innovative dual-large language model collaborative verification mechanism was introduced to design the overall framework. The system was deployed privately using Docker containerization, and offline closed-loop optimization was achieved through customized Python scripts. Results: An interactive interface for blood donors was developed by integrating the chatflow Web component from Dify. The intelligent assistant Agent can recommend optimal blood donation sites and navigation routes by invoking the Amap API based on the donor's location. The Blood Donation Knowledge Agent enables timely responses to inquiries, along with reasonable suggestions and reminders. This agent specializes in the field of voluntary blood donation, empowering the assistant to answer doubts and questions for blood donors in the form of intelligent question-and-answer interaction. It also guides users through preliminary self-assessments, helping potential donors identify eligibility issues beforehand, thereby effectively increasing the on-site success rate of blood donation and reducing resource waste. Conclusion: The smart blood donation assistant validates the feasibility of the "Dify+MCP+RAG" technical architecture within the blood transfusion informatization field. The assistant not only improves the service experience for blood donors, but also, ensures the sustainable evolution of the system through its modular design and closed-loop optimization mechanism, thus providing valuable insights for the intelligent transformation of traditional blood donation service systems.

Objective:To explore the genetic and clinical characteristics of Guizhou patients with enlarged vestibular aqueduct（EVA） syndrome through combined SLC26A4 variant analysis and clinical phenotype analysis. Methods:Seventy-two EVA patients underwent comprehensive genetic testing using a multiplex PCR-based deafness gene panel and next-generation sequencing（NGS）. The audiological and temporal bone imaging characteristics were compared across mutation subtypes. Results:A total of 27 pathogenic loci of SLC26A4 were detected in 72 patients, including c.919-2A>G in 79.2%（57/72）. A novel deletion（c.1703_1707+6del） was discovered. Among 65 cases, truncated mutations were 89.2%（58/65）, 52.3%（34/65）, 28（43.1%） and 7（10.8%）. No significant differences were observed in the midpoint diameter of the vestibular aqueduct and the incidence of incomplete partitioning typeⅡ（IP-Ⅱ） of the cochlea among the three groups of patients. Moreover, there was no difference in the midpoint diameter of different vestibular pipes or the combination with IP-Ⅱ. Conclusion:The most common mutation site of SLC26A4 in EVA patients in Guizhou is c.919-2A>G, though genotype-phenotype correlations remain elusive. The detection of 27 mutation sites and the discovery of new mutation sites suggested the precise diagnostic significance of NGS technology in EVA patients in Guizhou.
Humans ; Sulfate Transporters ; Vestibular Aqueduct/abnormalities* ; Mutation ; Membrane Transport Proteins/genetics* ; Hearing Loss, Sensorineural/genetics* ; Male ; Female ; Child ; Adolescent ; Child, Preschool ; Adult ; Young Adult ; Phenotype ; High-Throughput Nucleotide Sequencing

Antibiotic adjuvants offer a promising strategy for restoring antibiotic sensitivity, expanding antibacterial spectra, and reducing required dosages. Previously, compound 15 was identified as a potential adjuvant for Polymyxin B (PB) against multidrug-resistant (MDR) Pseudomonas aeruginosa DK2; however, its clinical utility was hindered by high cytotoxicity, uncertain in vivo efficacy, and an unclear synergetic mechanism. To address these challenges, we synthesized and evaluated a series of novel benzamide derivatives, with A22 emerging as a particularly promising candidate. A22 demonstrated potent synergistic activity to PB, minimal cytotoxicity, improved water solubility, and broad-spectrum synergism of polymyxins against various clinically isolated MDR Gram-negative strains. In vivo studies using Caenorhabditis elegans and mouse models further confirmed the efficacy of A22. Moreover, A22 effectively suppressed the development of PB resistance in Pseudomonas aeruginosa DK2. Mechanistic investigations revealed that A22 enhances polymyxins activity by inducing reactive oxygen species production, reducing ATP levels, increasing NOX activity, and inhibiting biofilm formation, leading to bacterial death. These findings position A22 as a highly promising candidate for the development of polymyxin adjuvants, offering a robust approach to combating MDR Gram-negative bacterial infections.

Objective To investigate the mechanism by which miR-148a affects M2 macrophage polarization and inhibits liver cancer cell proliferation through Wnt3a/β-catenin. Methods The mRNA expression levels of miR-148a, CD206 and interleukin-10 (IL-10) in tumor tissues and adjacent non-tumor liver tissues of 84 patients with liver cancer were detected by real-time quantitative PCR. THP-1 cells were separated into blank group (conventional culture), M2 group (200 nmol/L phorbol ester, 20 ng/mL IL-4, 20 ng/mL IL-13), M2 combined with negative control (miR-NC) group (transfected with miR-NC on the basis of M2 group), M2 combined with miR-148a mimics (transfected with miR-148a mimics on the basis of M2 group) group, M2 combined with miR-148a mimics combined with Wnt3a (treated with 100 μg/L Wnt3a on top of M2 combined with miR-148a mimics group) group. The proliferation of HuH7 cells was detected by CCK-8 and EdU methods. Apoptosis and M2 macrophage marker CD206 was detected by flow cytometry. The level of IL-10 in cell supernatant was detected by chemiluminescence method; The mRNA levels of miR-148a, CD206 and IL-10 were detected by real-time quantitative PCR. The protein levels of Wnt3a and β-catenin were detected by Western blot. Results The expressions of CD206, IL-10 mRNA, Wnt3a and β-catenin in tumor tissue were higher than those in non-tumor liver tissues, and the miR-148a level was decreased. The mRNA expression of M2 macrophage markers CD206 and IL-10 were significantly increased. Compared with the blank group, the OD450 value, EdU positive rate, the mRNA expressions of CD206 and IL-10, the level of IL-10 in the supernatant, and the expressions of Wnt3a and β-catenin were increased in M2 group, while the apoptotic rate and miR-148a level were decreased. Compared with M2 group and M2 combined with miR-NC group, the OD₄₅₀ value, EdU positive rate, the mRNA expressions of CD206 and IL-10, the level of IL-10 in the supernatant, and the expressions of Wnt3a and β-catenin were decreased in M2 combined with miR-148a mimics group, while the apoptotic rate and miR-148a level were increased. Wnt3a reversed the inhibitory effect of miR-148a overexpression on the proliferation of liver cancer cells. Conclusion Overexpression of miR-148a inhibits M2 polarization of macrophages and prevents the proliferation of liver cancer cells, which may be related to the inhibition of the Wnt3a/β-catenin pathway.
Humans ; MicroRNAs/metabolism* ; Wnt3A Protein/metabolism* ; Liver Neoplasms/metabolism* ; Cell Proliferation/genetics* ; beta Catenin/genetics* ; Macrophages/metabolism* ; Interleukin-10/metabolism* ; Apoptosis/genetics* ; Cell Line, Tumor ; Female ; Male ; Mannose Receptor ; Lectins, C-Type/metabolism* ; Mannose-Binding Lectins/metabolism* ; Middle Aged ; Receptors, Cell Surface/metabolism*