ObjectiveTo investigate the effect and mechanism of polysaccharide in water extract of Cyclocarya paliurus （CPWP） in inhibiting benign prostatic hyperplasia （BPH）. MethodsCPWP was obtained by heating reflux， aqueous extraction， alcohol precipitation， and freeze drying. The chemical composition and structural properties of CPWP were analyzed by high performance liquid chromatography with 1-pheny-3-methyl-5-pyrazolone pre-column derivatization and infrared spectroscopy. Male SD rats were randomly assigned into control， model， finasteride （ig 5 mg·kg^-1）， and low-， medium-， and high-dose （ig 50， 75， 100 mg·kg^-1） CPWP groups， with 8 rats in each group. The BPH model was established by subcutaneously injecting propionate testosterone in castrated rats. The rats in the drug intervention groups were administrated with corresponding drugs， and those in the control group were administrated with an equal volume of normal saline each day. After 30 consecutive days， the rats were sacrificed， and the prostate tissue was separated and weighed. The effects of drug interventions on the body weight， prostate wet weight， and prostate index of rats were examined. The prostate tissue was stained with hematoxylin-eosin （HE） for observation of pathological changes. Enzyme-linked immunosorbent assay was employed to measure the level of dihydrotestosterone （DHT）， and immunohistochemical staining was used to detect the expression of steroid 5 alpha-reductase 2 （SRD5A2） and Ki67 in the prostate tissue. ResultsCPWP was identified as a saccharide， with characteristic absorption peaks of saccharides. CPWP showed the total sugar content of 44.15% and molecular weight within the range of 5.5-78.8 kDa， being composed of mannose， rhamnose， galacturonic acid， glucose， galactose， xylose， and arabinose. Compared with the control group， the model group had significantly increased prostate wet weight and prostate index （P<0.01）， thick and tall prostate epithelial cells， increased internal wrinkles， papillary expansion into the cavity， an elevation in DHT level in the serum， and up-regulated expression of SRD5A2 and Ki67 in the prostate tissue （P<0.05， P<0.01）. Compared with the model group， both the finasteride and CPWP groups showed decreases in prostate wet weight and prostate index （P<0.05， P<0.01）， thinned prostate epithelial cells， with only a small portion of internal wrinkles and papillary expansion into the cavity， shortened papillary protrusions， lowered DHT level in the serum， and down-regulated expression of SRD5A2 and Ki67 in the prostate tissue （P<0.01）. Moreover， CPWP exerted effects in a dose-dependent manner. ConclusionCPWP inhibits BPH by regulating the expression of SRD5A2.

The plants of the genus Caragana Fabr. are desert plants of the Leguminosae family, which are widely used in traditional ethnomedicine, with the effects of nourishing Yin and nourishing blood, dispelling wind and removing dampness, clearing heat and detoxifying toxins. The anti-inflammatory effect of Caragana Fabr. has attracted much attention, the research on the related mechanism has made some progress, but it lacks systematic collation. By summarising the anti-inflammatory effects of the active ingredients of Caragana Fabr., the authors found that they have good anti-inflammatory activities on different inflammatory cell models in vitro, and have good improvement effects on rheumatoid arthritis, colitis, complex nephritis, and acute lung injury and other disease models. The anti-inflammatory effects of the active components of this genus mainly include the reduction of the levels of a variety of pro-inflammatory factors, and the signalling pathways involved mainly include TLR4/NF-κB, TLR4/MAPK, TLR4/NF-κB/IRF3, JAK/STAT-1, ERK/STAT-1 and so on. Therefore, the paper mainly reviews the research progress on the anti-inflammatory effects and mechanisms of the Caragana Fabr. plants and their active components according to disease types, with a view to providing reference for the in-depth study of their anti-inflammatory activities and the development of new products with related functions.

Quantum dots (QDs), nanoscale semiconductor crystals, have emerged as a revolutionary class of nanomaterials with unique optical and electrochemical properties, making them highly promising for applications in disease diagnosis and treatment. Their tunable emission spectra, long-term photostability, high quantum yield, and excellent charge carrier mobility enable precise control over light emission and efficient charge utilization, which are critical for biomedical applications. This article provides a comprehensive review of recent advancements in the use of quantum dots for disease diagnosis and therapy, highlighting their potential and the challenges involved in clinical translation. Quantum dots can be classified based on their elemental composition and structural configuration. For instance, IB-IIIA-VIA group quantum dots and core-shell structured quantum dots are among the most widely studied types. These classifications are essential for understanding their diverse functionalities and applications. In disease diagnosis, quantum dots have demonstrated remarkable potential due to their high brightness, photostability, and ability to provide precise biomarker detection. They are extensively used in bioimaging technologies, enabling high-resolution imaging of cells, tissues, and even individual biomolecules. As fluorescent markers, quantum dots facilitate cell tracking, biosensing, and the detection of diseases such as cancer, bacterial and viral infections, and immune-related disorders. Their ability to provide real-time, in vivo tracking of cellular processes has opened new avenues for early and accurate disease detection. In the realm of disease treatment, quantum dots serve as versatile nanocarriers for targeted drug delivery. Their nanoscale size and surface modifiability allow them to transport therapeutic agents to specific sites, improving drug bioavailability and reducing off-target effects. Additionally, quantum dots have shown promise as photosensitizers in photodynamic therapy (PDT). When exposed to specific wavelengths of light, quantum dots interact with oxygen molecules to generate reactive oxygen species (ROS), which can selectively destroy malignant cells, vascular lesions, and microbial infections. This targeted approach minimizes damage to healthy tissues, making PDT a promising strategy for treating complex diseases. Despite these advancements, the translation of quantum dots from research to clinical application faces significant challenges. Issues such as toxicity, stability, and scalability in industrial production remain major obstacles. The potential toxicity of quantum dots, particularly to vital organs, has raised concerns about their long-term safety. Researchers are actively exploring strategies to mitigate these risks, including surface modification, coating, and encapsulation techniques, which can enhance biocompatibility and reduce toxicity. Furthermore, improving the stability of quantum dots under physiological conditions is crucial for their effective use in biomedical applications. Advances in surface engineering and the development of novel encapsulation methods have shown promise in addressing these stability concerns. Industrial production of quantum dots also presents challenges, particularly in achieving consistent quality and scalability. Recent innovations in synthesis techniques and manufacturing processes are paving the way for large-scale production, which is essential for their widespread adoption in clinical settings. This article provides an in-depth analysis of the latest research progress in quantum dot applications, including drug delivery, bioimaging, biosensing, photodynamic therapy, and pathogen detection. It also discusses the multiple barriers hindering their clinical use and explores potential solutions to overcome these challenges. The review concludes with a forward-looking perspective on the future directions of quantum dot research, emphasizing the need for further studies on toxicity mitigation, stability enhancement, and scalable production. By addressing these critical issues, quantum dots can realize their full potential as transformative tools in disease diagnosis and treatment, ultimately improving patient outcomes and advancing biomedical science.

OBJECTIVES: To develop and validate a preoperative clinical-radiomics model for predicting overall survival (OS) and disease-free survival (DFS) in patients with extrahepatic cholangiocarcinoma (eCCA) undergoing radical resection. METHODS: In this retrospective study, consecutive patients with pathologically-confirmed eCCA who underwent radical resection at our institution from 2015 to 2022 were included. The patients were divided into a training cohort and a validation cohort according to the chronological order of their CT examinations. Least absolute shrinkage and selection operator (LASSO)-Cox regression was employed to select predictive radiomic features and clinical variables. The selected features and variables were incorporated into a Cox regression model. Model performance for 1-year OS and DFS prediction was assessed using calibration curves, area under receiver operating characteristic curve (AUC), and concordance index (C-index). RESULTS: This study included 123 patients (mean age 64.0 ± 8.4 years, 85 males/38 females), with 86 in the training cohort and 37 in the validation cohort. The OS-predicting model included four clinical variables and four radiomic features. It achieved a training cohort AUC of 0.858 (C-index = 0.800) and a validation cohort AUC of 0.649 (C-index = 0.605). The DFS-predicting model included four clinical variables and four other radiomic features. It achieved a training cohort AUC of 0.830 (C-index = 0.760) and a validation cohort AUC of 0.717 (C-index = 0.616). CONCLUSIONS The preoperative clinical-radiomics models show promise as a tool for predicting 1-year OS and DFS in eCCA patients after radical surgery.
Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Cholangiocarcinoma/mortality* ; Prognosis ; Bile Duct Neoplasms/mortality* ; Tomography, X-Ray Computed/methods* ; Aged ; Radiomics

OBJECTIVE: The study aim was to investigate the effects of exposure to multiple environmental organic pollutants on cardiopulmonary health with a focus on the potential mediating role of oxidative stress. METHODS: A repeated-measures randomized crossover study involving healthy college students in Beijing was conducted. Biological samples, including morning urine and venous blood, were collected to measure concentrations of 29 typical organic pollutants, including hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), bisphenol A and its substitutes, phthalates and their metabolites, parabens, and five biomarkers of oxidative stress. Health assessments included blood pressure measurements and lung function indicators. RESULTS: Urinary concentrations of 2-hydroxyphenanthrene (2-OH-PHE) ( β = 4.35% [95% confidence interval ( CI): 0.85%, 7.97%]), 3-hydroxyphenanthrene ( β = 3.44% [95% CI: 0.19%, 6.79%]), and 4-hydroxyphenanthrene (4-OH-PHE) ( β = 5.78% [95% CI: 1.27%, 10.5%]) were significantly and positively associated with systolic blood pressure. Exposures to 1-hydroxypyrene (1-OH-PYR) ( β = 3.05% [95% CI: -4.66%, -1.41%]), 2-OH-PHE ( β = 2.68% [95% CI: -4%, -1.34%]), and 4-OH-PHE ( β = 3% [95% CI: -4.68%, -1.29%]) were negatively associated with the ratio of forced expiratory volume in the first second to forced vital capacity. These findings highlight the adverse effects of exposure to multiple pollutants on cardiopulmonary health. Biomarkers of oxidative stress, including 8-hydroxy-2'-deoxyguanosine and extracellular superoxide dismutase, mediated the effects of multiple OH-PAHs on blood pressure and lung function. CONCLUSION Exposure to multiple organic pollutants can adversely affect cardiopulmonary health. Oxidative stress is a key mediator of the effects of OH-PAHs on blood pressure and lung function.
Humans ; Oxidative Stress/drug effects* ; Male ; Cross-Over Studies ; Female ; Young Adult ; Environmental Pollutants/toxicity* ; Environmental Exposure/adverse effects* ; Biomarkers/blood* ; Adult ; Blood Pressure/drug effects* ; Polycyclic Aromatic Hydrocarbons/urine* ; Beijing

Background With the rapid development of the food delivery industry, take-away deliverymen become an essential component of urban logistics. However, high labor intensity, unstable income, and extended working hours place them at considerable risk of occupational burnout. Available studies have paid insufficient attention to the mental health of this population, and effective predictive or preventive approaches remain limited. Objective To understand the status of occupational burnout among take-away deliverymen, identify influencing factors based on restricted cubic spline analysis, and develop a predictive model to provide a theoretical basis for improving their mental health. Methods A cross-sectional survey was conducted among full-time take-away deliverymen registered to the "Ele.me" and "Meituan" platforms in Hangzhou between September 1 and November 30, 2024, using both online and offline approaches. A questionnaire covered sociodemographic, household, and occupational information, and the Maslach Burnout Inventory–General Survey were used in this survey. Univariate analyses and logistic regression were used to identify factors associated with burnout and to construct a predictive model. Model performance was evaluated using receiver operating characteristic (ROC) curve and calibration curve. Furthermore, restricted cubic spline was used to further explore the relationship between age, working hours, and occupational burnout. Results Among the 1192 participants, 735 (61.66%) experienced occupational burnout. The logistic regression model indicated that older age (OR=1.021, P=0.010), educational attainment of college level or above compared to junior high school or below, (OR=2.837, P<0.001), and longer daily working hours (OR=1.081, P=0.001) were positively associated with occupational burnout. In contrast, work experience of 3−5 years (OR=0.666, P=0.016) and more than 5 years (OR=0.382, P<0.001) compared to those with <3 years, as well as providing three social insurances (OR=0.655, P=0.006) or five social insurances (OR=0.478, P<0.001) compared to those without any social insurances coverage, were negatively associated with occupational burnout. The predictive model based on these variables achieved an area under the curve (AUC) of 0.783 (95% CI: 0.756~0.809), and good agreement between calibration curves. The restricted cubic spline analysis revealed that the risk of occupational burnout was highest among delivery workers aged 33−46 years. Those with daily working hours between 3.5 and 8.1 h had a lower risk, while the risk significantly increased when working hours exceeded 8.1 h per day. Conclusion The prevalence of reporting occupational burnout among take-away deliverymen in Hangzhou is high. The developed predictive model provides valuable insights for the prevention and control of burnout in this population. Measures such as optimizing social security systems, rational work schedule allocation, and enhancing psychological support may help reduce occupational burnout among take-away deliverymen.

Objective To observe the expression and forewarning effect of MiR-155-5p in the chronicity process of herpes zoster neuralgia (HZN).Methods A total of 88 patients with herpes zoster neuralgia (HZN group) and 20 healthy subjects undergoing physical examination (HA group) were selected.The expression level of serum miR-155-5p was measured by reverse transcription real-time fluorescence quantification poly-merase chain reaction (RT-qPCR).The patients with pain after 3-month follow up served as herpes zoster neuralgia (PHN group) and those with pain disappearance served as the cure group (RC group).The expres-sion levels of miR-155-5p were compared between the HZN group and HA group and between the PHN group and RC group.The area under receiver operating characteristic (ROC) curve (AUC) and 95％ confidence in-terval (CI) were calculated for evaluating the efficiency of miR-155-5p in predicting the chronicity of HZN. Results Compared with the HA group,the expression level of miR-155-5p in the HZN group was significant-ly up-regulated,and the difference was statistically significant (P<0.05);compare with the RC group,the ex-pression level of serum miR-155-5p in the PHN group was significantly up-regulated,and the difference was statistically significant (P<0.05);AUC of miR-155-5p for predicting the chronicity of HZN was 0.878 (95％CI:0.808-0.948).Conclusion The expression level of serum miR-155-5p in herpes zoster period of the pa-tients with PHN is significantly up-regulated compared with the cure patients and miR-155-5p could serve as an important predictive indicator of HZN chronicity.

Objective To construct a regulatory network of competing endogenous RNA(ceRNA)with prognostic value for bladder urothelial carcinoma(BLCA),and analyze the relationship between key messenger RNA(mRNA)and immune function.Methods The UCSC Xena database was used to download mRNA expression data from 404 BLCA patients and 28 normal individuals and key mRNAs were screened by differential analysis.ENCORI database was utilized to search microRNAs(miRNAs)that bind to key mRNAs and all long non-coding RNAs(LncRNAs)that bind to miRNAs.The expression data of miRNA and LncRNA were downloaded from TCGA database,co-expression analysis was performed to identify key mRNA with all miRNAs and miRNA with all LncRNAs,and thus key miRNAs and LncRNAs were screened out.Survival analysis was conducted based on the differences in expression levels of these key mRNAs,miRNAs,and LncRNAs between tumor patients and normal individuals,and finally a ceRNA regulatory network was constructed.The correlation between key mRNAs and immune cells,immune checkpoints(CD274,PDCD1 and CTLA4),and immune cell marker genes(IG)was analyzed using the TIMER 2.0 database.Results A total of 22 key mRNAs were screened,with the most significant difference being proline 3-hydroxylase 4(P3H4).The expression of P3H4 in patients with BLCA was high,and survival time was shorter in patients with high expression.A sum of 33 miRNAs and 14 LncRNAs were screened using the key mRNAs as the central link.Through co-expression analysis and survival analysis,hsa-miR-151a-3p and MIR100 HG were identified as the key miRNA and key LncRNA with prognostic value.The differences in the above analysis results were statistically significant(all P＜0.05).Based on these findings,a ceRNA regulatory network consisting of 1 mRNA,1 miRNA,and 1 LncRNA was constructed.Immunoassay firstly revealed a significant positive correlation between double positive T cells and P3H4 expression in the tumor microenvironment of BLCA.Moreover,there were 3 types of immune cells(tumor-associated neutrophils,and tumor-associated macrophages,dendritic cells),3 immune checkpoints(CD274,PDCD1,CTLA4),and 15 IGs with significant correlation with P3H4.These differences were statistically significant(all P＜0.01).Conclusion This study could help to reveal the progression mechanism of BLCA.The constructed ceRNA network and immune analysis can offer new insights into potential biological targets and immunotherapy directions for the diagnosis,treatment,and prediction of BLCA patients.

BACKGROUND:In clinical practice,Cibotium barometz and Epimedium have shown significant efficacy in the treatment of rheumatoid arthritis,but the complex active ingredients contained in the two have an unclear mechanism of action at the molecular level for the treatment of rheumatoid arthritis. OBJECTIVE:Based on network pharmacology and molecular docking technology,to establish a collagen-induced arthritis model and to verify the potential targets and pathways of Cibotium barometz and Epimedium in the treatment of rheumatoid arthritis,providing reliable experimental evidence for the use of clinical formulas with Cibotium barometz and Epimedium as the main components. METHODS:Utilizing traditional Chinese medicine research platforms,traditional Chinese medicine encyclopedias,and databases of traditional Chinese medicine and chemical components from the Shanghai Institute of Organic,effective ingredients were retrieved and identified.3D molecular formulas were obtained from the PubChem platform and target predictions were made using PharmMapper and SwissTargetPrediction.Disease targets for rheumatoid arthritis were obtained from gene databases such as DrugBank,GeneCards,and OMIM.The intersections of targets and Cibotium barometz and Epimedium were plotted using VENNY 2.1 after calibration with the Uniport database.A protein-protein interaction network graph was constructed using the STRING platform.Gene Ontology function analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed using the Metascape platform for data visualization.A four-layered network model of traditional Chinese medicine,ingredients,targets,diseases,and pathways was constructed using Cytoscape 3.9.0.The main effective ingredients were docked with core targets using AutoDock-Vina software to explore the best binding targets.A type II collagen+adjuvant-induced arthritis rat model was established,and the effects of Cibotium barometz and Epimedium on relevant pathway targets and inflammatory cell factors were observed after 21 days of intervention. RESULTS AND CONCLUSION:A total of 28 active ingredients from Cibotium barometz and Epimedium were selected,yielding 288 intersection targets for rheumatoid arthritis.The main ingredients included isobavachalcone,cibotium,and epimedium.The main targets included protein kinase 1 for serine/threonine(AKT1),tumor necrosis factor,and vascular endothelial growth factor A.Gene ontology analysis yielded 2 232 biological processes,mainly related to serine protein phosphorylation,positive regulation of serine/threonine protein kinase,and reactive oxygen metabolism.Kyoto Encyclopedia of Genes and Genomes enrichment analysis yielded 202 pathways,mainly involving the PI3K/AKT signaling pathway and epidermal growth factor receptor signaling pathway,which may exert therapeutic effects by regulating synovial cell apoptosis and proliferation and suppressing inflammatory factors.Molecular docking results showed the strongest binding activity and stable structure of Cibotium barometz and Epimedium with AKT1 and estrogen receptor transcription factor 1,which was closely related to apoptosis and proliferation and inflammatory signaling pathways such as PI3K/AKT.Cibotium barometz and Epimedium reduced the expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the serum of collagen-induced arthritis rat models.Cibotium barometz and Epimedium reduced the expression of p-PI3K,p-AKT,and p-FOXO1 in the synovium of collagen-induced arthritis rat models.The results indicate that the combination of Cibotium barometz and Epimedium may exert therapeutic effects by inhibiting the proliferation of synovial cells and suppressing the expression of inflammatory factors via the PI3K/AKT/FOXO1 signaling pathway.This may be closely related to the occurrence of inflammation and bone destruction in rheumatoid arthritis,and provides a reference for the rational use and development of new drugs in clinical practice.

【Objective】 To explore the diagnosis, treatment, prognosis and long-term follow-up of urogenital solitary fibrous tumor (SFT) and to differentiate the characteristics between benign and malignant SFT. 【Methods】 Clinical data of 20 patients with urogenital SFT treated in our hospital during Jan.2004 and Aug.2021 were respectively analyzed, including the general characteristics, clinical symptoms, imaging results, treatment methods, pathological results, and long-term follow-up results. 【Results】 Of the 20 cases, 9 cases had tumor in kidney, 7 in pelvic cavity, 3 in bladder and 1 in prostate.Six patients showed non-specific clinical symptoms, including lower extremity weakness, urodynia, dysuria, frequent urination with changes in stool habits, low back pain, and abdominal wall mass with abdominal pain, and the other 14 cases were asymptomatic.The median diameter of SFT was 5.2 cm (range:1.7-15.0 cm).All patients received surgical treatment, including robotic-assisted surgery in 8 cases, open surgery in 5 cases, laparoscopic surgery in 5 cases, and transurethral resection of tumor in 2 cases.CT plain scan showed high, low and mixed density soft tissue masses, and enhanced CT showed enhanced results.Pathology results revealed frequent nuclear divisions, morphological variations and necrosis in malignant SFT, which had higher expression of Ki-67 than benign SFT.The results of the modified Demicco prognostic risk stratification model showed that all malignant SFT cases were at intermediate risk. The DFS of the SFT radical tumor resection group was slightly longer than that of the simple tumor resection group but the difference was not statistically significant (P=0.203). 【Conclusion】 Markers such as CD34, Bcl2, STAT6 and CD99 are used to diagnose SFT, while Ki-67 and tumor necrosis are used to differentiate benign and malignant SFT.The modified Demicco prognostic risk stratification model plays an important role in predicting the prognosis of SFT.Surgical resection is the most common treatment with excellent prognosis.In addition, benign SFT has much better prognosis than malignant case.