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.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

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.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

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.

Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

Objective To investigate the population characteristics,distribution of traditional Chinese medicine(TCM)syndromes and influencing factors of long-term prognosis of diarrhea-predominant irritable bowel syndrome(IBS-D),and to provide evidence for the formulation of intervention program for IBS-D patients.Methods A total of 124 patients with IBS-D admitted to the medical institutions of the project team members from July 2020 to August 2022 were selected.According to the scoring results of IBS Quality of Life Measure(IBS-QOL),the patients were divided into the good prognosis group(81 cases)and the poor prognosis group(43 cases).The distribution of TCM syndromes in patients with IBS-D was explored,and the difference of IBS-QOL scores of the patients between good prognosis group and poor prognosis group was compared.Univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the main risk factors for poor prognosis in patients with IBS-D.Results(1)The analysis of population characteristics showed that there was no significant difference in the proportion of male and female patients with IBS-D.The patients with IBS-D were usually middle-aged,and had a large interval span of the course of disease.The severity of their symptoms was mostly moderate.All of the patients with IBS-D had various degrees of anxiety and depression,and had nutritional imbalance.(2)The distribution of TCM syndromes in the patients with IBS-D were shown as the following:78 cases were identified as liver depression and spleen deficiency type,accounting for 62.90％;26 cases were identified as spleen-qi deficiency type,accounting for 20.97％;20 cases were identified as spleen and kidney yang deficiency type,accounting for 16.13％.(3)Analysis of IBS-QOL score showed that compared with the good prognosis group,the items scores of negative emotion,physical function,behavioral disorder,health status,being fastidious about food,social function,sexual behavior and interpersonal relationship of IBS-QOL in the poor prognosis group were significantly lowered(P＜0.01).(4)The univariate analysis showed that the risk of poor prognosis in patients with IBS-D would be increased by the factors of age,education level,course of disease,severity of symptoms,anxiety state,depression state,TCM syndrome types,Acute Physiology and Chronic Health Evaluation scoring system Ⅱ(APACHE 11)score,complication of neurological diseases,hemoglobin level,albumin level and total protein level(P＜0.01).(5)The multivariate Logistic regression analysis showed that the risk factors for poor prognosis of IBS-D patients involved age,education level below junior high school,the severity of symptoms being severe,Self-Rating Anxiety Scale(SAS)score,Self-Rating Depression Scale(SDS)score,TCM syndrome being liver depression and spleen deficiency type,hemoglobin level,albumin level and total protein level(P＜0.01).Conclusion Most of IBS-D patients exert long-term poor prognosis,and their long-term prognosis is affected by the factors of age,education level,severity of symptoms,anxiety and depression state,nutritional imbalance and TCM syndrome being liver depression and spleen deficiency type.The identification of the risk factors of poor prognosis will provide evidence for the formulation and adjustment of clinical intervention programs.