In this study, RAW264.7 cells were employed to investigate the effects of honey-processed Astragalus on their energy metabolism and polarization, and explore the scientific connotation of the enhanced efficacy of honey-processed Astragalus on invigorating spleen-stomach and replenishing Qi. The medicated sera were prepared by intragastric administration of rats with water extracts of crude and honey-processed Astragalus, and the composition changes of medicated sera of crude and honey-processed Astragalus were analyzed by using LC-MS technology. The cell survival rates were detected and the concentrations of medicated sera were screened through CCK-8 assay. The differences of cell phagocytic rates, ATP energy metabolism, and NO secretion between crude and honey-processed Astragalus were evaluated by using neutral red phagocytosis assay, ATP detection kit, and NO detection kit. The effects of crude and honey-processed Astragalus on TNF-α secretion of RAW264.7 cells were detected by employing ELISA kit. The effects of crude and honey-processed Astragalus on polarization of RAW264.7 cells were evaluated by utilizing flow cytometry. The differential metabolites related to glycolysis in cell lysates and culture media were screened by using LC-MS technology. The experiment was approved by the experimental animal ethics committee from Shanxi University of Chinese Medicine (No. AWE202407352). The results showed that the contents of betaine, amino acids, and ononin in the prepared medicated sera of rats treated by intragastric administration with water extracts of honey-processed Astragalus increased compared to those in crude one. The results of CCK-8 experiment showed that there were no cytotoxic effects on RAW264.7 cells in the medicated sera of crude and honey-processd Astragalus at different concentration. The phagocytic index and ATP yield both increased to varying degrees after administration of the medicated sera to cells. The secretion of NO in normal and inflammatory cells increased and decreased respectively, and the effect of honey-processed Astragalus was better than that of crude one. The results of ELISA kit showed that the medicated sera of both crude and honey-processed Astragalus could promote the secretion of TNF-α in a concentration-dependent manner, and the promoting effect of honey-processed Astragalus was stronger than that of crude one. The results of flow cytometry showed that the medicated sera of both crude and honey-processed Astragalus could promote M1-type polarization and inhibit M2-type polarization of RAW264.7 cells, and the effect of honey-processed Astragalus was better than that of crude one. Compared to crude Astragalus, the metabolites related to glycolysis in the cell lysates and culture media of the medicated sera of honey-processed Astragalus were generally on the rise, indicating that the effect on promoting glycolysis of honey-processed Astragalus was better than that of crude one. In summary, honey-processed Astragalus can promote the polarization and energy metabolism of RAW264.7 cells, and participate in positive immune regulation, which is correlated with its enhanced effect of invigorating spleen-stomach and replenishing Qi.

In the process of maintaining the steady state of bone tissue, the transcription network and signal pathway of the body play a vital role. These complex regulatory mechanisms need precise coordination to ensure the balance between bone formation and bone absorption. Once this balance is broken, it may lead to pathological changes of bone and cartilage, and then lead to various bone diseases. Therefore, it is of great significance to understand these regulatory mechanisms for the prevention and treatment of bone diseases. In recent years, with the deepening of research, more and more lncRNA has been found to be closely related to bone health. Among them, nuclear paraspeckle assembly transcript 1 (NEAT1), as an extremely abundant RNA molecule in mammalian nuclei, has attracted extensive attention. NEAT1 is mainly transcribed from a specific site in human chromosome 11 by RNA polymerase II (RNaseP), which can form two different subtypes NEAT1_1 and NEAT1_2. These two subtypes are different in intracellular distribution and function, but they participate in many biological processes together. Studies have shown that NEAT1 plays a specific role in the process of cell growth and stress response. For example, it can regulate the development of osteoblasts (OB), osteoclasts (OC) and chondrocytes by balancing the differentiation of bone marrow mesenchymal stem cells (BMSCs), thus maintaining the steady state of bone metabolism. This discovery reveals the important role of NEAT1 in bone development and remodeling. In addition, NEAT1 is closely related to a variety of bone diseases. In patients with bone diseases such as osteoporosis (OP), osteoarthritis (OA) and osteosarcoma (OS), the expression level of NEAT1 is different. These differential expressions may be closely related to the pathogenesis and progression of bone diseases. By regulating the level of NEAT1, it can affect a variety of signal transduction pathways, and then affect the development of bone diseases. For example, some studies show that by regulating the expression level of NEAT1, the activity of osteoclasts can be inhibited, and the proliferation and differentiation of osteoblasts can be promoted, thus improving the symptoms of osteoporosis. It is worth noting that NEAT1 can also be used as a key sensor for the prevention and treatment of bone diseases. When exercising or receiving some natural products, the expression level of NEAT1 will change, thus reflecting the response of bones to external stimuli. This feature makes NEAT1 an important target for studying the prevention and treatment strategies of bone diseases. However, although the role of NEAT1 in bone biology and bone diseases has been initially recognized, its specific mechanism and regulatory relationship are still controversial. For example, the expression level, mode of action and interaction with other molecules of NEAT1 in different bone diseases still need further in-depth study. This paper reviews the role of NEAT1 in maintaining bone and cartilage metabolism, and discusses its expression and function in various bone diseases. By combing the existing research results and controversial points, this paper aims to provide new perspectives and ideas for the prevention and treatment of bone diseases, and provide useful reference and enlightenment for future research.

Fibrosis, the pathological scarring of vital organs, is a severe and often irreversible condition that leads to progressive organ dysfunction. It is particularly pronounced in organs like the liver, kidneys, lungs, and heart. Despite its clinical significance, the full understanding of its etiology and complex pathogenesis remains incomplete, posing substantial challenges to diagnosing, treating, and preventing the progression of fibrosis. Among the various molecular players involved, platelet-derived growth factor-C (PDGF-C) has emerged as a crucial factor in fibrotic diseases, contributing to the pathological transformation of tissues in several key organs. PDGF-C is a member of the PDGFs family of growth factors and is synthesized and secreted by various cell types, including fibroblasts, smooth muscle cells, and endothelial cells. It acts through both autocrine and paracrine mechanisms, exerting its biological effects by binding to and activating the PDGF receptors (PDGFRs), specifically PDGFRα and PDGFRβ. This binding triggers multiple intracellular signaling pathways, such as JAK/STAT, PI3K/AKT and Ras-MAPK pathways. which are integral to the regulation of cell proliferation, survival, migration, and fibrosis. Notably, PDGF-C has been shown to promote the proliferation and migration of fibroblasts, key effector cells in the fibrotic process, thus accelerating the accumulation of extracellular matrix components and the formation of fibrotic tissue. Numerous studies have documented an upregulation of PDGF-C expression in various fibrotic diseases, suggesting its significant role in the initiation and progression of fibrosis. For instance, in liver fibrosis, PDGF-C stimulates hepatic stellate cell activation, contributing to the excessive deposition of collagen and other extracellular matrix proteins. Similarly, in pulmonary fibrosis, PDGF-C enhances the migration of fibroblasts into the damaged areas of lungs, thereby worsening the pathological process. Such findings highlight the pivotal role of PDGF-C in fibrotic diseases and underscore its potential as a therapeutic target for these conditions. Given its central role in the pathogenesis of fibrosis, PDGF-C has become an attractive target for therapeutic intervention. Several studies have focused on developing inhibitors that block the PDGF-C/PDGFR signaling pathway. These inhibitors aim to reduce fibroblast activation, prevent the excessive accumulation of extracellular matrix components, and halt the progression of fibrosis. Preclinical studies have demonstrated the efficacy of such inhibitors in animal models of liver, kidney, and lung fibrosis, with promising results in reducing fibrotic lesions and improving organ function. Furthermore, several clinical inhibitors, such as Olaratumab and Seralutinib, are ongoing to assess the safety and efficacy of these inhibitors in human patients, offering hope for novel therapeutic options in the treatment of fibrotic diseases. In conclusion, PDGF-C plays a critical role in the development and progression of fibrosis in vital organs. Its ability to regulate fibroblast activity and influence key signaling pathways makes it a promising target for therapeutic strategies aiming at combating fibrosis. Ongoing research into the regulation of PDGF-C expression and the development of PDGF-C/PDGFR inhibitors holds the potential to offer new insights and approaches for the diagnosis, treatment, and prevention of fibrotic diseases. Ultimately, these efforts may lead to the development of more effective and targeted therapies that can mitigate the impact of fibrosis and improve patient outcomes.

Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.

Objective: To explore the mediating role of balanced time perspective in the relationship between social jetlag and depressive symptom among junior high school students, so as to privide a basis for improving their mental health. Methods: In October 2024, a method of combining convenient sampling with cluster sampling was used to select 3 438 junior high school students from two districts(Yubei District and Kaizhou District) in Chongqing. The Center for Epidemiological Studies Depression Scale (CES-D), Munich Chronotype Questionnaire (MCTQ), and Balanced Time Perspective Inventory (BTPI) were administered for the survey. Statistical analyses included t-test, ANOVA, and Spearman correlation analysis, and conduct a mediation effect analysis using the Process program. Results: The mean score of depressive symptom among junior high school students was 15.00(9.00, 23.00 ), social jetlag was 1.18(0.72, 1.83) hours, and balanced time perspective score was -0.18(-2.82, 2.93). Social jetlag among junior high school students was positively correlated with depressive symptom score ( r =0.17), while balanced time perspective was negatively correlated with social jetlag ( r =-0.15) and depressive symptom score ( r =-0.68) (all P <0.01). Mediation analysis showed that balanced time perspective partially mediated the relationship between social jetlag and depressive symptom ( β=0.68, P <0.01) among junior high school students, accounting for 53.97% of the total effect. Conclusions Social jetlag of junior high school students influences depressive symptoms by affecting balanced time perspective. Efforts should be made to improve adolescents balanced time perspective for reducing the impact of social jetlag on depressive symptom.

Objective To predict the mechanism of Danhong injection in acute myocardial infarction based on network pharmacology and molecular docking.Methods The chemical ingredients of Danhong injection were collected by traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP),while Swiss Target Prediction was used to predict the corresponding targets of ingredients.The targets of acute myocardial infarction were retrieved in human gene database(GeneCards),online Mendelian inheritance in man(OMIM)and gene-disease association database(DisGeNET).Venny 2.1 online software was used to obtain the common targets of drugs-disease,and then the"drug-compound-target-disease"network diagram was constructed by using the software Cytoscape 3.8.2.The STRING database was used to draw the protein-protein ineraction network,and the perform gene ontology(GO)function and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis were carried out through the database for annotation,visualization,and integrated discovery(DAVID),and the AutoDock platform was applied in verifying the molecular docking of active components and protein targets.Results The 63 active components of Danhong injection could regulate 137 targets and 132 pathways to treat acute myocardial infarction.Przewaquinone C,luteolin,baicalein,sclareol,kaempferol,quercetagetin and other active compounds,which could mediate C-type lectin receptor,tumor necrosis factor,endocrine resistance,prolactin,phosphatidylinositol-3-kinases-serine/threonine protein kinase,Janus-activated kinase singal transducers and activators of transcriprion and other signaling pathways through tumor necrosis factor,RAC-alpha serine/threo-nine protein kinase,interleukin-1 beta,steroid receptor coactivator,mitogen-activated protein kinase 3,signal transducer and activator of transcription 3 and other key target proteins.The result of molecular docking showed that the targets and the components had a certain degree of binding.Conclusion Danhong injection can participate in the treatment of acute myocardial infarction through multiple components,targets and pathways,which provides a theoretical basis for the clinical application of Danhong injection and the mechanism of its treatment of acute myocardial infarction.

Objective To explore the effect of Wenyang Huazhuo Tongluo recipe on pulmonary microvascular injury in mice with scleroderma based on mitophagy.Methods Fifty mice were randomly divided into blank control group(0.9％NaCl,by gavage),control group(0.9％NaCl,by gavage),model group,Wenyang Huazhuo Tongluo recipe group(47mg·kg-1·d-1 Wenyang Huazhuo Tongluo recipe by gavage),positive control group(10 mg·kg-1·d-1 KC7F2 dissolved in phosphate buffer solution intraperitoneal injection),continuous administration for 4 weeks.The expression levels of in vitro membrane translocation enzyme 20(TOMM20),hypoxia inducible factor-1α(HIF-1α),B cell lymphoma-2/adenovirus E1B-19 kDa interacting protein 3(BNIP3),PTEN inducible muscle enzyme protein 1(PINK1)and E3 ubiquitin ligase(Parkin)in lung tissue were detected by immunohistochemistry(IHC).Western blot(WB)was used to detect the expression levels of mitophagy-related proteins(TOMM20,LC3B)and HIF-1α/BNIP3/PINK1/Parkin pathway proteins in pulmonary microvascular endothelial cells.Results The relative content of HIF-1α in microvascular endothelial cells of lung tissue in the control group,model group,Wenyang Huazhuo Tongluo recipe group and positive control group were 0.17±0.02,0.98±0.01,0.66±0.03 and 0.48±0.01;the relative content of BNIP3 were 0.40±0.02,0.74±0.01,0.56±0.01 and 0.60±0.02;the relative content of PINK1 were 0.26±0.04,0.88±0.01,0.65±0.02 and 0.67±0.02;the relative contents of Parkin were 0.33±0.02,0.89±0.01,0.65±0.02 and 0.77±0.02;the relative contents of TOMM20 were 1.10±0.02,0.58±0.01,1.02±0.01 and 0.98±0.03;the relative contents of LC3B-Ⅰ/LC3B-Ⅱ were 0.24±0.01,0.80±0.01,0.53±0.02 and 0.70±0.02,respectively.The content of HIF-1α,BNIP3,PINK1,Parkin and LC3B-Ⅰ/LC3B-Ⅱ in model group was higher than those in control group.Wenyang Huazhuo Tongluo recipe can effectively reduce its content.The content of TOMM20 in the model group was lower than that in control group,and Wenyang Huazhuo Tongluo recipe can effectively increase its content.Conclusion Wenyang Huazhuo Tongluo recipe may inhibit mitophagy and improve SSc pulmonary microvascular injury by increasing TOMM20 and inhibiting the protein expression of LC3B and HIF-1α/BNIP3/PINK1/Parkin signaling pathway.

Objective:To explore the application effect of online and offline BOPPPS teaching mode based on rain-classroom in ideological and political teaching of Dermatovenerology.Methods:A total of 242 undergraduates from Class 1 to Class 8 majoring in Medical Imaging in grade 2019 were selected.They were randomly divided into the control group(class 5 to class 8)and the experimental group(class 1 to class 4).The control group received the mixed online and offline teaching mode based on rain-classroom.The experimental group received the online and offline BOPPPS teaching mode based on rain-classroom.The ideological and political elements were integrated into the teaching of Dermatovenerology.After the course,the score of curriculum theory,the questionnaire survey of ideological and political teaching and the questionnaire survey of the satisfaction of teaching in the two groups were compared.Results:After the course,the score of curriculum theory in the experimental group was higher than that in the control group(P＜0.01).The approval rate of each question in the questionnaire on ideological and political teaching effect of the experimental group was higher than that of the control group(P＜0.05).The teaching satisfaction of the experimental group was higher than that of the control group(P＜0.05).Conclusion:In the ideological and political teaching of Dermatovenerology,the online and offline BOPPPS teaching mode based on the rain-classroom has a certain effect on improving the course performance,ideological and political education effect and students'satisfaction.

Dryness is an important concept in the theory of traditional Chinese medicine， which is closely related to the transformation of the body， etiology and pathogenesis. As one of the medicinal properties of Chinese materia medica， there are various types of Chinese materia medica with dryness. Atractylodis Rhizoma（AR） is a representative medicine with warm and dry properties， which has the function of drying dampness and strengthening the spleen. Due to its strong dryness， it can cause certain adverse reactions. In clinical practice， stir-fried AR with bran is often used as medicine. The dryness of AR is closely related to its efficacy， but the underlying mechanism of the relationship between dryness and efficacy is still unclear. At present， the research on dryness Chinese materia medica has been increasing year by year， but there are still problems such as insufficient systematic research， insufficient in-depth research and lack of research on the mechanism of dryness effect， which limit the breakthrough of the theory of processing for slowing down dryness， and hinder the precise application of dryness Chinese materia medica in clinical practice. Therefore， this article comprehensively reviewed the differences in dryness characterization indicators of different Chinese materia medica by searching domestic and foreign literature， focusing on the relevant research on dryness of AR. A systematic summary and induction were made from the characterization indicators， research techniques of dryness markers， the influence of processing on dryness of AR， and the application mining of dryness of AR. The results showed that the dryness characteristics of AR mainly included the upregulation of macroscopic indicators such as water intake， urine output and whole blood viscosity， as well as energy metabolism indicators， the downregulation of water metabolism indicators， and pathological changes such as submandibular gland acinar atrophy. Based on the changes of dryness and component content of AR after processing， it is determined that the main dryness components of AR may be volatile components such as β-eudesmol and atractylon. Due to its dryness， AR is mainly used to treat diseases such as spleen deficiency， rheumatism and edema. However， the current understanding of the correlation between dryness and efficacy of AR is still insufficient， and there are still many bottlenecks in understanding and explaining its dryness. In the future， systematic evaluation and characterization should be carried out to find the common mechanism of AR exerting dryness and efficacy， providing reference for the rational clinical use.

Lower-cost genotyping technology has promoted the generation of large genetic datasets with the evolving next-generation sequencing technology. The emergence of genome-wide association studies (GWAS) has facilitated researchers’ understanding of common complex diseases. GWAS refers to finding the sequence variations present in the human genome and screening out disease-related single nucleotide polymorphisms (SNPs). These SNPs are considered as the basis for assessing the stability of complex diseases. However, a single variation is not sufficient to assess an individual’s risk of disease. Polygenic risk score (PRS) is an emerging genetic data analysis method for quantitatively estimating an individual’s genetic risk for complex diseases by comprehensively considering multiple genetic variation sites. A single-value estimate of an individual’s genetic risk for a certain phenotype can be calculated as the cumulative impact of multiple genetic variants by building a PRS model. The finally expected risk score is weighted by the strength and direction of association of each SNP with the phenotype based on the number of alleles carried by each SNP. With the continuous development of various PRS calculation methods and the constant accumulation of genomic data, PRS has received widespread attention in the field of genetics. So far, quite a few studies at home and abroad have shown that PRS is valuable in risk prediction of different types of human traits or complex diseases, and its effectiveness has been further verified in clinical applications. At present, many studies have established PRS models based on GWAS summary statistics to quantify the genetic risk of susceptibility loci and clinical characteristics on diseases such as lung cancer, breast cancer, coronary heart disease, diabetes and Alzheimer’s disease. The disease-susceptible populations can be recognized through comparing the relative risk and absolute risk of the disease in different risk groups according to the population risk stratification results. Additionally, individual-level genotype data and omics data can also be used as data sources for PRS analysis research, especially the latter can dynamically reflect the short-term or long-term effects of environmental factors on human gene expression, and has potential application value in building early warning models to assess health risks. Since the calculation of PRS involves a large amount of genomic data analysis, there are big differences in the methods for data selection, model building and validation. Different PRS construction methods and software have different performances in disease risk prediction, and even the performance of same algorithm varies across diseases. It is worth noting that the PRS model often needs to be re-evaluated and verified for different groups of people, because PRS is affected by race and region. This review combines currently published PRS-related research and algorithms to describe the basic principles of PRS, compares their construction and verification methods, and discusses their applications and prospects. As a powerful genetic risk assessment tool, PRS has great potential in analyzing the genetic code of complex diseases and achieving precise diagnosis and personalized treatment.