ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

Currently， viral pneumonia （VP） presents a major challenge to global public health. Traditional Chinese medicine （TCM） prevention and treatment of VP is guided by the core concept of strengthening vital energy and eliminating pathogenic factors rather than targeting specific pathogens， alongside a holistic approach of syndrome differentiation and treatment. By summarizing the clinical syndromes of patients， the core pathogenesis was clarified to achieve individualized therapy. Animal models for disease-syndrome combination integrate the etiology and pathogenesis of VP and simulate the individualized manifestations of patients at different disease stages， providing an experimental platform for elucidating the theoretical basis of TCM in treating VP and promoting the development of effective TCM formulations. However， there are limitations in the application and promotion of disease-syndrome combination animal models due to the lack of standardization and normalization of model construction systems， which arise from diverse species selection， compound modeling methods， and multidimensional evaluation indicators. This paper systematically reviewed the recent research on animal models for disease-syndrome combination in VP from the perspective of species selection， modeling methods， evaluation indicators， and application status. Furthermore， it summarized the advantages and limitations of existing models， identifies future directions for improvement， and proposes optimization strategies. This review provides a reference for establishing standardized and normalized animal models for disease-syndrome combinations in VP， supporting the theoretical modernization of TCM in preventing and controlling emerging respiratory infectious diseases， and contributing to the development of new TCM drugs.

ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

Currently， viral pneumonia （VP） presents a major challenge to global public health. Traditional Chinese medicine （TCM） prevention and treatment of VP is guided by the core concept of strengthening vital energy and eliminating pathogenic factors rather than targeting specific pathogens， alongside a holistic approach of syndrome differentiation and treatment. By summarizing the clinical syndromes of patients， the core pathogenesis was clarified to achieve individualized therapy. Animal models for disease-syndrome combination integrate the etiology and pathogenesis of VP and simulate the individualized manifestations of patients at different disease stages， providing an experimental platform for elucidating the theoretical basis of TCM in treating VP and promoting the development of effective TCM formulations. However， there are limitations in the application and promotion of disease-syndrome combination animal models due to the lack of standardization and normalization of model construction systems， which arise from diverse species selection， compound modeling methods， and multidimensional evaluation indicators. This paper systematically reviewed the recent research on animal models for disease-syndrome combination in VP from the perspective of species selection， modeling methods， evaluation indicators， and application status. Furthermore， it summarized the advantages and limitations of existing models， identifies future directions for improvement， and proposes optimization strategies. This review provides a reference for establishing standardized and normalized animal models for disease-syndrome combinations in VP， supporting the theoretical modernization of TCM in preventing and controlling emerging respiratory infectious diseases， and contributing to the development of new TCM drugs.

ObjectiveTo evaluate the pharmacological effects of verbenalin on both in vitro and in vivo infection models of human coronavirus 229E （HCoV-229E） and to preliminarily explore the antiviral mechanism of verbenalin through proteomic analysis. MethodsIn vitro， the cell counting kit-8 （CCK-8） for cell proliferation and viability assessment was used to establish a model of HCoV-229E-induced injury in human lung adenocarcinoma cells（A549）. A549 cells were divided into five groups： normal group， model group， and three verbenalin treatment groups （125， 62.5， and 31.25 μmol·L^-1）. The cell protective activity of verbenalin was evaluated through cell viability assay and immunofluorescence staining. In vivo， 30 BALB/c mice were randomly divided into normal group， model group， chloroquine group， and high-dose， low-dose verbenalin groups （40 and 20 mg·kg^-1）， with six mice per group. An HCoV-229E-induced mouse lung injury model was established to evaluate the therapeutic effects of verbenalin. Lung injury was assessed by detecting the lung index and lung inhibition rate. The severity of pulmonary inflammation cytokines was measured by enzyme-linked immunosorbent assay （ELISA）， while the lung morphology and structure were analyzed by micro-computed tomography （Micro-CT）. Hematoxylin and eosin （HE） staining was used to assess histopathological changes in lung tissue. Additionally， four-dimensional data-independent acquisition （4D-DIA） proteomics was employed to preliminarily explore the potential mechanisms of verbenalin in treating HCoV-229E-induced lung injury in mice， through differential protein expression screening， functional annotation， enrichment analysis， and protein-protein interaction network analysis. ResultsThe A549 cells were infected with HCoV-229E at the original viral titer for 36 hours to establish an in vitro infection model. The maximum non-toxic concentration of verbenalin was 125 μmol·L^-1， and the half-maximal cytotoxic concentration （CC₅₀） was 288.8 μmol·L^-1. Compared with the normal group， the model group showed a significant decrease in cell viability （P<0.01）， a significant increase in the proportion of dead cells （P<0.01）， mitochondrial damage， and a significant reduction in mitochondrial membrane potential （P<0.01）. After treatment with different concentrations of verbenalin （125， 62.5， and 31.25 μmol·L^-1）， cell viability was significantly increased （P<0.01）， and the proportion of dead cells was reduced （P<0.01）， with mitochondrial membrane potential restored （P<0.01）. In vivo experiments further confirmed the therapeutic effect of verbenalin on HCoV-229E-infected mice. Compared to the normal group， the model group showed a significant increase in the lung index （P<0.01）， severe lung tissue injury， lung volume enlargement， and a significant increase in the expression of inflammatory cytokines， including interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） （P<0.01）. In contrast， in the verbenalin treatment groups， these pathological changes were significantly improved， with a reduction in the lung index （P<0.01）， alleviation of lung tissue injury， reduced lung volume enlargement， and a significant decrease in inflammatory cytokine expression （P<0.01）. Proteomics analysis revealed that， compared to the normal group， the model group showed enrichment in several antiviral immune-related signaling pathways， including the nuclear factor-κB （NF-κB） signaling pathway （P<0.05）. Compared to the model group， the verbenalin treatment group showed enrichment in several signaling pathways related to inflammatory response and autophagy （P<0.05）， suggesting that verbenalin may exert its antiviral and anti-inflammatory effects by regulating these pathways. ConclusionVerbenalin demonstrates significant therapeutic effects in both in vitro and in vivo HCoV-229E infection models， with its mechanism likely related to the NOD-like receptor protein 3 （NLRP3） inflammasome pathway and mitochondrial autophagy.

Citing the IT development of the General Hospital of Nanjing Military Region at Fuzhou as an example, the authors point out that emphasizing the role of the people and doing a good job of talent planning and cultivation is the key to the IT development of a hospital. They argue that a hospital must have leaders and managers that stress the IT development of the hospital; it must have a team of people with high IT expertise; it must have a large number of staff very familiar with the operation of the computer; and it must be able to integrate its human resources and give play to the overall efficiency.