Objective: To investigate the awareness of knowledge about hepatitis C prevention and control among outpatients in Ningbo City, Zhejiang Province, and its influencing factors, so as to provide the evidence for strengthening health education on hepatitis C prevention and control. Methods: Based on sentinel surveillance of hepatitis C, the outpatients aged 15 to 65 years at seven hospitals in Yinzhou District, Cixi City and Xiangshan County of Ningbo City were selected using the convenient sampling method from April to June during 2020 and 2022. Demographic information, knowledge and behaviors related to hepatitis C prevention and control were collected through questionnaire surveys. The influencing factors for knowledge about hepatitis C prevention and control were analyzed using a multivariable logistic regression model. Results: A total of 2 792 participants were surveyed, including 1 157 males (41.44%) and 1 635 females (58.56%). The awareness rate of knowledge about hepatitis C prevention and control was 56.23%, and was lower in knowledge about hepatitis C vaccine and treatment. The awareness rates of knowledge about hepatitis C prevention and control among outpatients from 2020 to 2022 were 47.11%, 53.22% and 70.65%, respectively, showing an upward trend (P<0.05). Multivariable logistic regression analysis showed that participants aged 25 to <50 years (OR=1.358, 95%CI: 1.073-1.719), with an educational level of high school or junior college (OR=1.431, 95%CI: 1.134-1.806) or above junior college (OR=3.728, 95%CI: 2.958-4.699), with household monthly income per capita of 3 000 to <5 000 yuan (OR=1.828, 95%CI: 1.344-2.486) or ≥5 000 yuan (OR=1.858, 95%CI: 1.366-2.526), without a history of invasive treatments such as pedicure in public places (OR=1.287, 95%CI: 1.024-1.618), without a history of contact with family members' blood-contaminated items (OR=2.050, 95%CI: 1.552-2.707), and always using condoms during sexual contacts (OR=1.740, 95%CI: 1.273-2.378) had higher awareness of knowledge about hepatitis C prevention and control. Conclusions The awareness of knowledge about hepatitis C vaccine and treatment among outpatients in Ningbo City needs to be improved. Age, educational level, household monthly income per capita, history of invasive treatments such as pedicure in public places, history of contact with family members' blood-contaminated items and frequency of condom use during sexual contacts are associated with outpatients' awareness of knowledge about hepatitis C prevention and control.

Cardiovascular diseases （CVD），a group of common diseases in clinical practice，are witnessing a steady rise in both incidence and mortality rates，posing a challenge to public health. Gualou Xiebai Banxiatang，originating from Synopsis of the Golden Chamber （《金匮要略》），was initially used to treat severe cases of chest impediment. The formula consists of Trichosanthis Fructus，Allii Macrostemonis Bulbus，Pinelliae Rhizoma，and Baijiu. It has a wide range of clinical applications，with therapeutic effects including moving Qi to relieve depression，activating Yang to dissipate mass，and expelling phlegm to alleviate chest congestion. In recent years，clinical research has confirmed that Gualou Xiebai Banxiatang，with or without modification，used alone or in combination with Western medicine，has definite effects in the treatment of CVD such as hyperlipidemia，coronary atherosclerotic heart disease，hypertension，heart failure，and arrhythmia. It can alleviate disease symptoms and reduce the risk of re-hospitalization. Basic research indicates that the mechanisms of Gualou Xiebai Banxiatang include improving endothelial functions，exhibiting anti-inflammatory properties，countering oxidative stress，preventing apoptosis，inhibiting ventricular remodeling，regulating mitochondrial functions，improving hemorheology，and modulating autophagy and neurotransmitters. This article reviews relevant articles in recent years with focuses on the compatibility，clinical application，and mechanism of Gualou Xiebai Banxiatang. This review is expected to provide a theoretical basis for the mechanism research and clinical application of this formula in treating CVD and to offer ideas and reference for in-depth research.

The organoid co-culture model, as a novel tool for recreating a three-dimensional microenvironment to study cell-cell interactions, has demonstrated significant application potential in biomedical research in recent years. By simulating the in vivo tissue microenvironment, this model provides a more precise experimental platform for investigating complex cellular interactions, particularly in areas such as tumor immune evasion mechanisms, drug sensitivity testing, and the pathological characterization of neurodegenerative diseases, where it has demonstrated significant value. However, the organoid co-culture model still faces several challenges in terms of standardized procedures, large-scale cultivation, ethical guidelines, and future development. In particular, in the field of laboratory animal science, how to effectively combine organoids with traditional animal models, and how to select the most appropriate model for different research needs while exploring its potential for replacement, remain pressing issues. In the context of ethical approval and the replacement of animal experiments, the organoid co-culture model offers an experimental approach that better aligns with the "3R" principle (Replacement, Reduction, Refinement), potentially becoming an important tool for replacing traditional animal models. To this end, this paper reviews the latest advances and key challenges in this field, providing a detailed description of the construction methods for organoid co-culture models and discussing their applications in disease mechanism research and drug screening. The paper also systematically compares the organoid co-culture models with traditional animal models, exploring the criteria for selecting the appropriate model for specific applications. Furthermore, this paper discusses the potential value of organoid co-culture models as alternatives to animal experiments and anticipates future development trends of this technology. Through these discussions, the paper aims to promote the innovation and development of organoid co-culture technology and provide new perspectives and scientific evidence for future research.

The organoid co-culture model, as a novel tool for recreating a three-dimensional microenvironment to study cell-cell interactions, has demonstrated significant application potential in biomedical research in recent years. By simulating the in vivo tissue microenvironment, this model provides a more precise experimental platform for investigating complex cellular interactions, particularly in areas such as tumor immune evasion mechanisms, drug sensitivity testing, and the pathological characterization of neurodegenerative diseases, where it has demonstrated significant value. However, the organoid co-culture model still faces several challenges in terms of standardized procedures, large-scale cultivation, ethical guidelines, and future development. In particular, in the field of laboratory animal science, how to effectively combine organoids with traditional animal models, and how to select the most appropriate model for different research needs while exploring its potential for replacement, remain pressing issues. In the context of ethical approval and the replacement of animal experiments, the organoid co-culture model offers an experimental approach that better aligns with the "3R" principle (Replacement, Reduction, Refinement), potentially becoming an important tool for replacing traditional animal models. To this end, this paper reviews the latest advances and key challenges in this field, providing a detailed description of the construction methods for organoid co-culture models and discussing their applications in disease mechanism research and drug screening. The paper also systematically compares the organoid co-culture models with traditional animal models, exploring the criteria for selecting the appropriate model for specific applications. Furthermore, this paper discusses the potential value of organoid co-culture models as alternatives to animal experiments and anticipates future development trends of this technology. Through these discussions, the paper aims to promote the innovation and development of organoid co-culture technology and provide new perspectives and scientific evidence for future research.

Bronchial asthma （asthma） is a heterogeneous disease characterized by airflow limitation， airway remodeling， and recurrent symptoms such as wheezing， shortness of breath， chest tightness， and cough. Its prevalence is gradually increasing， and a portion of patients are still poorly controlled， leading to a serious social and medical burden. Modern studies have proposed the concept of the "lung-gut axis"， which is based on the crosstalk between microorganisms and their metabolites in the lungs and large intestine， and have indicated that microbial dysbiosis in these organs may affect the onset and progression of asthma. Traditional Chinese medicine （TCM） has found the phenomenon of lung-intestinal comorbidity and put forward the importance of "lung-intestinal coordination therapy" in the treatment of lung-related diseases. It has been found that intestinal flora and their metabolites can modulate immune responses through the lung-gut axis， demonstrating great potential for predicting asthma susceptibility， anticipating phenotypes， assessing asthma severity， and guiding treatment. TCM comopunds that embody lung-intestinal coordination therapy， including herbal formulas， single herbs， acupuncture， moxibustion， acupoint application， and spinal pinching therapy， has been shown to regulate intestinal flora， improve metabolism， regulate immunity， alleviate lung inflammation， reduce mucus secretion， inhibit airway remodeling， effectively alleviate symptoms， and delay lung function decline. Based on "lung-intestinal coordination therapy"， this paper used intestinal flora as the entry point to summarize the underlying mechanisms of TCM in asthma treatment and highlighted the pivotal role of intestinal flora in asthma， providing a new idea for its clinical treatment through the intestinal flora .

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

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.

Objective To investigate the knowledge-attitude-practice(KAP)of drug application among university students in Karamay,to analyze potential risk factors of medication risk.Methods Using the convenience sampling method,the basic information,current status of the KAP of medication of university students in Karamay were collected through online and offline questionnaire.Multiple linear regression was performed to analyze the influence of different characteristics of the research objects on KAP concerning medication risk.Results A total of 948 valid questionnaires were retrieved,the interviewees were mostly aged between 18 and 20 years old(55.06％),females(63.92％)were more than males(36.08％).The mean scores of knowledge,behavior,education and attitude towards medication among university students were(36.17±11.82),(31.04±9.17),(11.66±4.66)and(11.50±3.53)respectively.Most university students had good drug use habits and considered it necessary to acquire knowledge about safe drug use through different ways and forms,but they lacked awareness on safe drug use in terms of purchasing drugs,storing drugs,drug use behavior and drug use education.Multiple linear regression analysis showed that the major of study was an influential factor in medication knowledge(P＜0.01),with pharmacy majors demonstrating better mastery.It also in medication behavior(P＜0.01),with pharmacy majors exhibiting more standardized practices.Gender was an influential factor in attitudes toward medication education(P＜0.05),with females showing more positive attitude.Conclusion The knowledge of drug application among university students in the city is relatively good,and they have good medication habits.However,there are shortcomings in their medication behavior and education.It is necessary to actively carry out targeted medication education activities to promote safe and rational medication among university students.

The incidence of knee osteoarthritis(KOA)is in-creasing year by year,seriously affecting patients'health.Mes-enchymal stem cells are multipotent cells with multiple differen-tiation functions.The extracellular vesicles released by these cells can carry various"cargo"to corresponding cells and tis-sues,exerting biological functions.They have shown great clini-cal potential in the treatment of KOA.This study reviews the therapeutic effects and mechanisms of extracellular vesicles se-creted by mesenchymal stem cells from different tissues such as bone marrow,adipose tissue,and synovium in KOA.It is found that miRNA is an important biological component in exerting therapeutic effects.The study also discusses the research pro-gress of engineered extracellular vesicles in KOA,pointing out the current challenges in clinical application,such as standard-ized acquisition of extracellular vesicles and difficulties in targe-ted action,aiming to provide a certain reference for the basic re-search and clinical application of extracellular vesicle therapy for KOA.

Aim To investigate the intracellular up-take and target protein binding characteristics of two Bruton's tyrosine kinase inhibitors(BTKi)with differ-ent selectivities to provide further insights into the mechanisms of drug off-target-related bleeding risk.Methods Ibrutinib(non-selective BTKi)and za-nubrutinib(selective BTKi)were used as study drugs.After incubation of MEC-1 cells and human platelets with drugs,the cellular thermal shift assay(CETSA)was combined with Western blot to obtain the melting curve and isothermal curve to analyze the binding char-acteristics of the two drugs with the target protein BTK.After incubation of MEC-1 cells and human platelets with drugs,the concentrations of the two drugs were detected by liquid chromatography-tandem mass spectrometry(LC-MS/MS)to analyze the intracellular uptake of the two drugs.Results CETSA analysis confirmed that zanubrutinib was more selective for the target protein BTK compared to ibrutinib.LC-MS/MS analysis showed that both drugs were uptaken intracel-lularly by MEC-1 cells and platelets in a concentration-dependent manner.Conclusions While BTKi targe-ting BTK to B lymphocytes exerts therapeutic effects,off-target effects on platelets due to differences in their intracellular uptake,and target-binding characteristics may be one of the reasons for the differences in bleed-ing risk across selective BTKi.