Objective: To explore the active components, key targets, and mechanism of action of turnip in alleviating pulmonary fibrosis(PF) based on network pharmacology and animal experiments. Methods: The active components and targets of Brassica rapa L. were screened using the traditional Chinese medicine systems pharmacology database and analysis platform database, and PF-related targets were obtained from disease databases such as online mendelian inheritance of man(OMIM) and DrugBank. The intersection targets were used to construct a protein-protein interaction(PPI) network to identify core targets, followed by gene oncology(GO)/Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis. In the animal experiments, a bleomycin-induced PF mouse model was established. Pathological changes in lung tissue were evaluated using HE and Masson staining. qRT-PCR was used to detect the mRNA expression of tumor necrosis factor-α(TNF-α), phosphatidylinositol 3-kinase(PI3K), and akstrain transforming 1(AKT1), and immunofluorescence staining was used to measure the protein expression of TNF-α, PI3K, and AKT1. Results: The 68 active components identified in Brassica rapa L. may regulate PI3K-Akt signaling pathway by acting on 89 potential targets such as TNF-α and AKT1. The results of animal experiments showed that polysaccharide of Brassica rapa L.(BRPs) could significantly reduce the degree of bleomycin induced pulmonary fibrosis in mice; HE and Masson staining of lung tissue showed that compared with the model group, the damage of alveolar structure, the infiltration of inflammatory cells and the deposition of collagen fibers in the BRPs treatment group were significantly reduced. Further mechanism studies showed that BRPs could significantly down-regulate the mRNA and protein expression levels of TNF-α, PI3K and AKT1 in lung tissue of pulmonary fibrosis mice. Conclusion Brassica rapa L. can synergistically alleviate pulmonary fibrosis through “multi-component, multi-target and multi-channel” approach; BRPs is one of the main active components, and plays an anti-fibrosis role by inhibiting TNF-α/PI3K Akt signaling pathway.

Objective To evaluate the prevention and control effectiveness of four major chronic diseases in Youyang County, and find the weak link of prevention and control, and to provide theoretical support for improving prevention and control strategies. Methods Based on the death data of permanent residents from 2012 to 2020 extracted from the cause-of-death registration and reporting system of Youyang County, a statistical analysis was conducted using SPSS19.0. The annual percentage change (APC) was tested by t-test. Results From 2012 to 2020, the mortality rate of and the standardized mortality rate of the four major chronic diseases and the premature mortality rate of diabetes in males showed an increasing trend (APC was 3.05%, 1.82% and 27.12%, respectively, P < 0.05). The mortality rate of the four chronic diseases in females increased (APC was 2.53%, P < 0.05), while the proportion of premature death of the four chronic diseases and the probability of premature death of cardiovascular and cerebrovascular diseases in females decreased (APC was -2.37%, -5.73%, P < 0.05). The standardized mortality rate and premature death rate of the four major chronic diseases were higher in males than those in females. The mortality rate of the four major chronic diseases and the premature death rate of diabetes in the whole population were on the rise (APC was 2.84% and 12.86%, P < 0.05). It was expected that the early death probability of the four major chronic diseases in Youyang County would be 12.65% in 2030, higher than the target value of 12.59% of ^“Healthy China 2030^”. Conclusion The future focus of Youyang County is to prevent and control malignant tumors and diabetes, especially to strengthen the prevention and control of male diabetes.

Fracture healing is a complex process that necessitates the synergistic action of various cells and molecules. Macrophages play an indispensable and crucial regulatory role in the process of fracture repair, influencing stages such as inflammatory modulation, angiogenesis, and tissue remodeling. This article delves into the functional characteristics of macrophages and their roles at different stages of fracture healing. Additionally, it explores the impact of aging macrophages on the healing process. Furthermore, the potential of emerging therapies, such as hydrogel-based treatments and exosomes, in modulating macrophage responses is analyzed. This study provides a theoretical foundation for the development of innovative therapies aimed at enhancing the efficacy of fracture healing.

Objective To study the risk factors of preoperative deep vein thrombosis(DVT)in middle-aged and elderly patients with lower limb fractures,and establish and evaluate the constructed nomogram model.Methods A retrospective analysis was conducted on the clinical data of totally 240 middle-aged and elderly patients with lower limb fractures at Quanzhou First Hospital Affiliated to Fujian Medical University from July 2023 to June 2024.According to whether the patient had DVT before surgery,they were divided into a DVT group of 75 cases and a non DVT group of 165 cases.The differences in clinical data and some labora-tory indicators levels at the time of initial admission,including platelets(PLT),prothrombin time(PT),ac-tive partial thromboplastin time(APTT),fibrinogen(FIB),thrombin time(TT),D-dimer(D-D),total pro-tein(TP),albumin(ALB),triglycerides(TG),cholesterol(CHOL),high-density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)between two groups were compared.Logistic binary regression was used to analyze the risk factors of DVT and a nomogram model was constructed.Receiver oper-ating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of various risk factors and nomo-gram model in screening DVT.Results Compared age and D-D levels of the DVT group were significantly higher(P＜0.001),while the levels of APTT,TP and ALB were significantly lower(P＜0.05),and the pro-portion of DVT combined with internal diseases and the proportion of fractures in the femur were significantly higher(P＜0.001).The above-mentioned differential indicators were all single risk factors for DVT.ROC curve analysis showed that except for comorbidities of internal medicine,all other risk factors could effectively screen for DVT(P＜0.05),the area under the curve(AUC)was 0.573-0.706,and the constructed nomo-gram model could effectively improve AUC to 0.797.Conclusion The nomogram model constructed based on single risk factors for DVT in this study is helpful for clinical assessment of the risk of DVT occurrence in pa-tients at the early stage of admission,intuitively and effectively.

Objective:To analyze the hotspots and trends in thyroid cancer nursing research from 2004 to 2023 at home and abroad through bibliometric methods, so as to provide references and ideas for future research in this field.Methods:A systematic search was conducted for core journal documents on thyroid cancer nursing research included in China National Knowledge Infrastructure, Wanfang Database, VIP Chinese Journal Network and Web of Science Core Collection from January 1, 2004 to December 31, 2023, using CiteSpace6. 3.R1 software performs visual analysis.Results:A total of 119 domestic documents and 417 international documents were included for analysis. From 2004 to 2023, the number of publications in the field of thyroid cancer nursing research at home and abroad showed an upward trend. Domestic research hotspots mainly include four directions: perioperative nursing, symptom nursing, care for radioactive iodine-131 treatment, and physical and mental health promotion. Foreign research hotspots mainly include three directions: nursing practice exploration and guideline formulation, care for radioactive iodine-131 treatment, and quality of life.Conclusions:The field of thyroid cancer nursing has received continuous attention from scholars at home and abroad. In future research, it is recommended that domestic scholars actively carry out cross-institutional and multi-center team cooperation in accordance with local needs, focus on the research of physical and mental care and health promotion of thyroid cancer patients at different survival stages, and the construction of clinical nursing guidelines. With the help of core research institutions and expert teams, actively promote the development of high-quality nursing research in this field.

Surgery is the most important and effective way to treat thyroid cancer. How to reduce surgical complications while completely treating tumor has always been the focus and difficulty of thyroid surgery. Carbon nanoparticles suspension injection is the third generation lymph node tracer, with strong staining specificity, rapid development, long staining time, simple use, harmless to human body and other characteristics, showing unique clinical value in lymph node tracing, parathyroid identification and protection. However, the application of carbon nanoparticles in thyroid surgery is still controversial. After literature review, the authors address the clinical application of carbon nanoparticles in thyroid cancer surgery.

Objective:To analyze the expression level of protein arginine methyltransferase 5 (PRMT5) in pancreatic cancer tissues and its correlation with prognosis using bioinformatics methods, and to explore its potential mechanisms.Methods:Expression analysis of the PRMTs family members was performed based on the gene expression profiles of 178 pancreatic cancer tissues from the Gene Expression Profiling Interactive Analysis (GEPIA) database and 171 normal pancreatic tissues from the TCGA and GTEx databases. Using the median expression level of PRMTs family members in pancreatic cancer tissues as the cutoff, patients were divided into high-expression and low-expression groups, and Kaplan-Meier curves for overall survival (OS) and disease-free survival (DFS) were plotted. The correlation between PRMT5 expression and the expression of oncogenes such as KRAS, TP53, BRCA1, BRCA2, and SLC39A4 was analyzed. Functional enrichment analysis was conducted on genes similar to PRMT5, and a protein-protein interaction (PPI) network was constructed to analyze the interaction relationships among these similar genes. Pancreatic cancer PANC1 and AsPC-1 cells cultured in standard medium served as the control group, while PANC1 and AsPC-1 cells cultured in medium supplemented with the PRMT5 inhibitor EPZ015666 served as the intervention group. Cell viability was assessed using the CCK-8 assay, and cell cycle progression was analyzed by flow cytometry.Results:The expression level of PRMT5 in pancreatic cancer tissues was significantly higher than that in normal pancreatic tissues and showed a significant negative correlation with both OS and DFS. Patients with high PRMT5 expression had a shorter median survival time compared to those with low expression (17.2 months vs 19.5 months). PRMT5 expression was significantly positively correlated with the expression of oncogenes KRAS, TP53, BRCA1, BRCA2, SLC39A4, and KLF5. Genes similar to PRMT5 were primarily enriched in cell cycle-related signaling pathways, and NOP58 identified as a hub gene in the PPI network. Compared to the control group, the proliferation activity of PANC1 and AsPC-1 cells in the intervention group was significantly reduced [(67.3±1.9)% vs (100±4.4)% for PANC1; (60.5±2.7)% vs (100.0±1.7)% for AsPC-1], and the proportion of cells in the G1 phase was significantly increased [(51.6±0.7)% vs (35.3±2.7)% for PANC1; (51.2±0.9)% vs (29.7±2.2)% for AsPC-1]. All these differences were statistically significant (all P values <0.05). Conclusions:High expression of PRMT5 was closely associated with poor prognosis in pancreatic cancer patients, and it may contribute to pancreatic cancer progression by regulating the cell cycle.

Background and Aims:As a core data source in the development of medical informatization,the front page of inpatient medical records plays a crucial role in determining the usability of research data and the scientific quality of clinical decision-making.Given the relatively standardized diagnostic and treatment protocols for thyroid malignancies,this disease serves as a representative model for evaluating the data quality of medical record front sheets.This study aimed to systematically assess the accuracy of diagnostic and surgical procedure coding for thyroid malignancies on the medical record front page,identify existing problems,and explore strategies for improvement and the potential for future application in clinical research.Methods:A total of 3 361 patients who underwent initial surgical treatment and were pathologically confirmed with thyroid cancer at the Department of Thyroid Surgery,the First Affiliated Hospital of Kunming Medical University from January 2018 to December 2020 were retrospectively included.Postoperative pathology reports and surgical records were used as reference standards to evaluate the accuracy of primary and secondary diagnosis codes,as well as primary and secondary surgical procedure codes on the medical record front page.Results:The accuracy rate of primary diagnosis coding reached 98.8%.However,among 1 368 patients with cervical lymph node metastasis,only 31.2%had correctly recorded secondary diagnosis codes and metastatic sites,with an omission rate as high as 67.8%.The overall accuracy rate for primary surgical procedure coding was 90.4%,with thyroid lobectomy(TL)and total thyroidectomy(TT)coding accuracies of 85.5%and 96.0%,respectively.Among the coding errors,70.0%involved TL procedures being incorrectly coded as TT.Secondary surgical procedure codes—mainly for lymph node dissection—were highly inconsistent,with up to 14 different coding types,reflecting a lack of standardization and unified input criteria.Notably,the error rate for primary surgical coding in 2020 increased significantly compared with the previous two years,suggesting subjectivity and variability in manual data entry.Conclusion:This study highlights major accuracy deficiencies in surgical procedure coding for thyroid malignancies on the medical record front page,which may compromise the scientific validity of real-world data.Going forward,leveraging artificial intelligence technologies to support structured documentation and automated coding,alongside establishing a proactive quality control system through multidisciplinary collaboration,may significantly improve data accuracy.These efforts are essential for strengthening data foundations for precision treatment,performance evaluation,insurance payment,and clinical research on thyroid cancer.