Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

Objective To evaluate the efficacy of Puerariae lobatae radix （PLR） and Anemarrhenae Rhizoma （AR） in preventing and treating Alzheimer’s disease （AD） and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride （AlCl₃） and D-galactose （D-gal） for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased （P<0.05）, while the SOD content was decreased considerably （P<0.01）. The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences （P<0.05）. The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.

ObjectiveTo describe the characteristics of the nasopharyngeal microbiota in children under 5 years of age in Haidong City, Qinghai Province and analyze its associated factors, so as to provide basic data for the evolution and development of nasopharyngeal microbiota in children. MethodsA total of 230 community children from Haidong City, Qinghai Province were included in the study. Participants’ basic information was collected by local volunteers from parents/guardians at enrollment. 16S rDNA sequencing was used to identify the bacterial diversity and abundance of nasopharyngeal microbial community. Bioinformatics methods were used to analyze the characteristics of the nasopharyngeal microbiota, compare the differential species, and investigate the correlation with age. ResultsThere was no statistical difference in either Chao1 index or Shannon index of nasopharyngeal microbial communities among children with different ages (P>0.05). Besides, the structure of nasopharyngeal microbiota in children of different ages was different, either (P=0.020). Age, ethnicity and delivery mode, to some extent, could explain the differences in the structure of nasopharyngeal microbiota in children. There were statistically significant differences in the abundance of Dolosigranulum, Staphylococcus and Corynebacterium in the nasopharyngeal microbiota of children with different ages (P<0.05). Differential analysis revealed that Corynebacterium was found to be over-represented in children under 1 year of age, while Dolosigranulum was found to be over-represented in children between 2 and 3 years old. Furthermore, the results of correlation analysis showed that, Moraxella was positively correlated with Corynebacterium, Dolosigranulum and Streptococcus, but negatively correlated with Pseudomonas. In addition, a strong positive correlation was detected between the Dolosigranulum and Corynebacterium. ConclusionThe diversity of nasopharyngeal microbial community among children under 5 years in Haidong City, Qinghai Province is stable. However, there are differences in the species structure, mainly in the abundance difference of Dolosigranulum, Staphylococcus and Corynebacterium. This study provides basic data on the evolution and maturation of nasopharyngeal microbial communities in early childhood, which can provide a scientific basis for the early prevention and diagnosis of respiratory tract infections in children.

Objective To construct a glioma microfluidic chip model to simulate tumor microenvironment for evaluating the medicinal efficacy of anti-glioma traditional Chinese medicines. Methods Glioblastoma cells U251 were seeded into microfluidic chips with different culture modes, and the cell viability and tumour microenvironment within the constructed model were characterized. Fluorescence staining was used to evaluate the effects of the positive drugs temozolomide （TMZ） and docetaxel （DOC） on the cell activity and apoptosis within the model, which was applied to evaluate the medicinal efficacy of the extracts of the herb Scutellaria barbata on gliomas. Results The cells in the constructed U251 microfluidic chip model displayed high viability and were able to mimic the hypoxic microenvironment of tumor to a certain extent. The viability of the U251 cells in the microfluidic chips decreased with the increasing of the concentration of the positive drug, and the viability of the 3D cultured U251 cells was higher than that in the 2D condition （P<0.05）. The intracellular mitochondrial membrane potential decreased with the increasing of the concentration of the positive drug. And the 2 mg/ml Scutellaria barbata extract killed U251 cells to a certain extent and reduced the mitochondrial membrane potential of the cells in the model. Conclusion This study successfully constructed a microfluidic chip model of glioma that could effectively simulate the tumor microenvironment and rapidly evaluate the anti-tumor medicinal efficacy, which provided a new strategy for the medicinal efficacy evaluation and active components screening of anti-glioma traditional Chinese medicines.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective　To analyse the crude detection rate and trends of newly detected HIV/AIDS cases in medical institutions in China from 2017 to 2023, and to provide a reference for optimizing HIV testing strategies in medical institutions. Methods　Data on HIV testing and newly reported HIV/AIDS cases were analysed using data from the Comprehensive AIDS Prevention and Control Information System of the China Information System for Disease Control and Prevention for the period from 2017 to 2023. HIV testing in medical institutions includes patients tested preoperatively, those tested before transfusion, those tested in sexually transmitted disease (STD) clinics, prenatal care clinics, and other types of patients. Descriptive statistical analysis and χ2 test were performed using SAS 9.4 software. Joinpoint regression was performed using Joinpoint 4.9.0 software to analyse trends of the crude detection rates over time. Results　From 2017 to 2023, the person-times of HIV tests in medical institutions increased from 143 million to 255 million, with an increase of 78.07%. The number of newly detected HIV/AIDS cases increased from 74 000 to 88 000 and then declined to 69 000. The crude detection rate of new HIV/AIDS cases declined from 5.18/10 000 to 2.71/10 000, showed a declining trend, the mean annual percentage change was -9.99%(P<0.001). The crude detection rate of new HIV/AIDS cases in STD clinics was the highest among all types of clinic visits (12.79/10 000-24.47/10 000), and the crude detection rate of new cases among all types of clinic visits showed a decreasing trend(P<0.05). Among different medical institutions, general hospitals were the most important source of the number of tests and the number of newly detected HIV/AIDS cases, accounting for more than 62.93% and 62.68%, respectively. Specialised medical institutions had the highest crude detection rate of new cases, which was maintained at more than 5.13/10 000. The crude detection rate of new cases for all four types of medical institutions, except for primary medical institutions, showed a decreasing trend (P<0.05). Conclusions　The detection rate of new cases in medical institutions showed a decreasing trend in 2017-2023, and the efficiency of STD clinics testing and detection was higher among all types of attendees. General hospitals are the main source of new cases detection, and testing in specialised medical institutions is more efficient. Testing should be strengthened in key groups of patients and in key medical institutions.

Objective: To investigate the current status and influencing factors of overweight and obesity among adults in Jiaxing City, Zhejiang Province, so as to provide a basis for developing targeted weight management measures. Methods: In 2024, a multistage stratified random cluster sampling method was employed to recruit permanent residents aged ≥18 years from Jiaxing City for questionnaire surveys. Data on basic information, lifestyle behaviors, and history of chronic diseases were collected. Height and body weight were measured, and overweight and obesity were determined based on body mass index (BMI). The influencing factors of overweight and obesity among adults were analyzed by a multivariable logistic regression model. Results: Totally 10 509 questionnaires were allocated, and 9 802 valid questionnaires were recovered, with an effective recovery rate of 93.27%. Among the respondents, 4 808 (49.05%) were males and 4 994 (50.95%) were females, with a mean age of (51.27±17.26) years. A total of 4 884 overweight and obesity individuals were identified, with a detection rate of 49.83%. Multivariable logistic regression analysis showed that gender (male, OR=1.719, 95%CI: 1.578-1.873), age (≥60 years, OR=0.802, 95%CI: 0.652-0.986), educational level (bachelor and above, OR=0.640, 95%CI: 0.518-0.791), marital status (being married/cohabiting, OR=1.224, 95%CI: 1.009-1.486), adequate nut intake (OR=0.910, 95%CI: 0.832-0.995), hypertension (OR=2.462, 95%CI: 2.219-2.732), and dyslipidemia (OR=1.629, 95%CI: 1.444-1.837) were statistically associated with overweight and obesity among adults. Conclusion The detected rate of overweight and obesity among adults in Jiaxing City was relatively high, and was mainly associated with gender, age, education level, marital status, nut intake, hypertension, and dyslipidemia.

Systemic lupus erythematosus (SLE) is an autoimmune disease accompanied by various complications, and the exact etiology remains unclear. Treatments for SLE encompass hormone therapy, plasma exchange and immunoadsorption, and targeted biological therapies. Berbamine (BBM), a cellular immunopotentiator with diverse biological functions, has not been reported to have immunomodulatory and therapeutic effects on SLE. The mice were divided into control group, model group, positive control group, low, medium and high BBM groups. In control group, C57BL/6J wild mice received intraperitoneal injection of saline. In model group, MRL/lpr lupus mice were treated with intraperitoneal injection of saline. In positive control group, MRL/lpr lupus mice received intragastric administration of hydroxychloroquine sulfate tablets [Plaquenil, 150 mg/(kg·d)]. In BBM groups, MRL/lpr lupus mice received intragastric administration of different concentration of BBM respectively [20 mg/(kg·d), 50 mg/(kg·d), 100 mg/(kg·d)]. After 8 weeks of treatment, blood was collected from the retro-orbital venous plexus, and ELISA was used to detect the levels of anti-double-stranded DNA (dsDNA) antibodies, antinuclear antibodies (ANA), and anti-small nuclear ribonucleoprotein/Sm (snRNP/Sm) antibodies. Spleen tissues were collected for analysis of Th1/Th2 ratio by flow cytometry. The RNA and protein of spleen were extracted, and the levels of T-box transcription factor T-bet and GATA3 (GATA binding protein 3) mRNA and protein were detected by qRT-PCR and Western blot. The proliferation of white blood cells in the blood was tested by blood routine test. The histopathological changes of kidneys of each group were detected by HE staining. Compared with the model group, the levels of ANA, anti-dsDNA, and anti-snRNP/Sm antibodies were significantly reduced in the BBM-treated groups. The Th1/Th2 ratio was significantly decreased in the model group, but reversed by BBM. Compared with the control group, T-bet expression was significantly downregulated, while GATA3 expression was significantly upregulated in the model group. After BBM intervention, T-bet expression significantly increased, while GATA3 expression decreased compared with the model group. The number of white blood cells significantly decreased in the model group, and increased in the BBM-treated groups. In the model group, the glomerular mesangial and endothelial cells showed significant hyperplasia, clear thrombus was observed in the dilated capillaries, and inflammatory cells infiltrated in the renal interstitium. In medium and high BBM groups, the infiltration of inflammatory cells and capillary thrombosis were significantly decreased. In conclusion, BBM exhibits certain immunomodulatory effects on SLE and promotes the proliferation of white blood cells.
Animals ; Lupus Erythematosus, Systemic/immunology* ; Mice ; Mice, Inbred C57BL ; Mice, Inbred MRL lpr ; Female ; Benzylisoquinolines/pharmacology*

Based on the epidermal growth factor receptor(EGFR)/mitogen-activated protein kinase(MAPK) signaling pathway-mediated cell proliferation, this study explores the effect of cisplatin combined with Guiqi Yiyuan Ointment on Lewis lung cancer-bearing mice. A total of 60 male C57BL/6 mice were randomly divided into a blank group with 10 mice and a modeling group with 50 mice. After modeling, they were randomly divided into the model group, cisplatin group, and low-, medium-, and high-dose groups of cisplatin combined with Guiqi Yiyuan Ointment, with 10 mice in each group. After 14 days of medication, the general condition of the mice was observed; body weight was measured, and organ index and tumor inhibition rate were calculated. Hematoxylin-eosin(HE) staining was used to observe the pathological morphology changes in tumor tissue. Immunohistochemistry was used to detect the positive rate of Ki-67 antigen(Ki-67) and proliferating cell nuclear antigen(PCNA) in tumor tissue. Western blot and real time-quantitative polymerase chain reaction(qPCR) were used to detect the expression of related proteins and mRNA in tumor tissue. Flow cytometry was used to detect the cell cycle of tumor cells in tumor tissue. The results showed that compared with that in the blank group, the general condition of mice in the model group deteriorated; the body weight, as well as thymus and spleen index of mice in the model group decreased after 14 days of medication. Compared with that in the model group, the general condition of mice in the cisplatin group deteriorated, while the condition of mice in the combined groups improved; the body weight, as well as thymus and spleen index of mice in the cisplatin group decreased, while the three indicators in the combined groups increased; the tumor weight of each medication group decreased, and the tumor inhibition rate increased; there were varying degrees of necrosis in tumor cells of each medication group, and the tightness of tumor cells, the increase in the number of cell nuclei and chromatin, and mitosis all decreased. The positive rate of Ki-67 and PCNA, as well as the protein expression and ratio of p-EGFR/EGFR, rat sarcoma viral oncogene homolog(Ras), phosphorylated Raf-1 protein kinase(p-Raf-1)/Raf-1, phosphorylated mitogen-activated protein kinase kinase(p-MEK)/MEK, phosphorylated extracellular signal-regulated kinase(p-ERK)/ERK and the mRNA expression of EGFR, Ras, Raf-1, MEK, and ERK all decreased. The proportion of tumor cells in the G_0/G_1 phase of each medication group increased, and that in the S phase decreased. In addition, there was no significant difference in the G_2/M phase. Compared with that of the cisplatin group, the tumor weight of the combined groups decreased, and the tumor inhibition rate increased. The necrosis and mitosis of tumor cells in the combined groups were more pronounced; the positive rate of Ki-67 and PCNA, the protein expression and ratio of p-EGFR/EGFR, Ras, p-Raf-1/Raf-1, p-MEK/MEK, and p-ERK/ERK, as well as the mRNA expression of EGFR, Ras, Raf-1, MEK, and ERK in the combined groups all decreased. The proportion of tumor cells in the G_0/G_1 phase of the combined medium-and high-dose groups increased, and that in the S phase decreased. There was no significant difference in the proportion of tumor cells of the combined groups in the G_2/M phase. This indicates that the combination of cisplatin and Guiqi Yiyuan Ointment can enhance the anti-tumor effect of cisplatin on tumor-bearing mice, and the mechanism may be associated with the inhibition of the EGFR/MAPK pathway, which accelerates the arrest of tumor cells in the G_0/G_1 phase, thereby inhibiting the proliferation of tumor cells. At the same time, the study also indicates that Guiqi Yiyuan Ointment may reduce the damage of tumors to mice and the toxic side effects brought by cisplatin chemotherapy.
Animals ; Male ; Carcinoma, Lewis Lung/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; ErbB Receptors/genetics* ; Mice ; Cisplatin/administration & dosage* ; Mice, Inbred C57BL ; Cell Proliferation/drug effects* ; Ointments/administration & dosage* ; MAP Kinase Signaling System/drug effects* ; Humans ; Antineoplastic Agents/administration & dosage* ; Lung Neoplasms/metabolism*