ObjectiveTo investigate the potential therapeutic effects of Dengzhan Shengmai capsules （DZSM） on myocardial fibrosis after myocardial infarction and decipher the underlying molecular mechanisms by virtue of network robustness algorithm. MethodsA rat model of myocardial infarction was established by ligating the left anterior descending coronary artery. Successfully modeled Sprague-Dawley rats were randomly allocated into a model group， an enalapril group（3.15 mg·kg^-1）， and high- and low-dose DZSM groups（226.8，113.4 mg·kg^-1）. In addition， a sham group was set up. After four consecutive weeks of intervention， the cardiac function was assessed via echocardiography， and myocardial collagen deposition was observed through Sirius red staining. The key regulatory pathways of DZSM were analyzed by the network robustness algorithm. Enzyme-linked immunosorbent assay （ELISA） and immunofluorescence assay were employed to validate the mechanisms. ResultsCompared with the sham group， the model group exhibited decreased left ventricular ejection fraction （LVEF%） and fractional shortening （FS%） （P<0.01） and increased myocardial collagen volume fraction （CVF%） （P<0.01）. Compared with the model group， high-dose DZSM and enalapril improved LVEF% and FS% （P<0.01）. Both high- and low-dose DZSM reduced the CVF% （P<0.05， P<0.05，）. Network analysis indicated that DZSM exerted its effects by regulating neutrophil infiltration and related inflammatory pathways. Experimental validation showed that DZSM significantly reduced the protein levels of nuclear factor （NF）-κB， Janus kinase 2 （JAK2）， and signal transduction activator and transducer 3 （STAT3） in the cardiac tissue， as well as the levels of chemokine （C-X-C motif） ligand 1 （CXCL1）， interleukin （IL）-1β， neutrophil elastase-DNA complex （NE-DNA）， and myeloperoxidase-DNA complex （MPO-DNA） in the plasma. ConclusionDZSM may ameliorate myocardial fibrosis by inhibiting neutrophil infiltration and extracellular trap formation and regulating the NF-κB/JAK2/STAT3 signaling pathway.

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 predictive models based on decision tree and logistic regression algo-rithms for pulmonary multidrug-resistant organism(MDRO)infection risk in intensive care unit(ICU)pa-tients,and compare their predictive performance to provide references for pulmonary MDRO infection preven-tion.Methods A total of 350 ICU patients admitted to the hospital from January 2021 to December 2023 were enrolled and divided into an infection group(n=52)and a non-infection group(n=298)based on the pres-ence of pulmonary MDRO infection.Clinical data from both groups were collected and analyzed to identify risk factors for pulmonary MDRO infection in ICU patients.Using the risk of pulmonary MDRO infection in ICU patients as the dependent variable and the indicators with statistically significant differences in univariate anal-ysis as the independent variables,predictive models for pulmonary MDRO infection risk were developed by u-sing decision tree algorithms and logistic regression analysis.The predictive performance of these two models was compared.Results There were statistically significant differences(P＜0.05)between the infection and non-infection groups in terms of age,history of diabetes,hospital stay≥2 weeks,indwelling urinary catheter,chlorine dioxide disinfection,prolonged bedridden status,and disturbance of consciousness.Logistic regression analysis with pulmonary MDRO infection risk in ICU patients as the dependent variable showed that age ≥60 years,indwelling catheter,hypoproteinemia,and disturbance of consciousness were risk factors for pulmonary MDRO infection in ICU patients,while chlorine dioxide disinfection was a protective factor.Based on these risk factors and regression coefficients,the original warning model was established as:logit(P 1)=0.856 × age+0.928 × indwelling catheter+0.916 × chlorine dioxide disinfection+0.866× hypoproteinemia+0.986 × disturbance of consciousness-4.371.The Hosmer-Lemeshow test indicated good model fit(coefficient of de-termination R2=0.579,P=0.531).The decision tree model for pulmonary MDRO infection risk in ICU pa-tients constructed using decision tree algorithm comprised 4 layers and 9 nodes,selecting four clinical features as nodes:presence of consciousness disturbance,indwelling catheter,hypoproteinemia,and age≥60 years,with consciousness disturbance being the most significant predictor.The decision tree model showed an area under the curve(AUC)of 0.892(95％CI:0.835-0.949)on receiver operating characteristic(ROC)analy-sis,compared to 0.862(95％CI:0.812-0.912)for the logistic regression model.Delong test revealed no sig-nificant difference in predictive performance between the two models(Z=1.148,P=0.095).Conclusion Both the decision tree model and logistic regression model established for predicting the risk of pulmonary MDRO infection in ICU patients demonstrate high predictive performance with comparable efficacy.

Objective To investigate the protective effect of paravertebral nerve block combined with general anesthesia on liver injury after laparoscopic hepatectomy(LH).Methods A randomized controlled trial was conducted on 51 patients undergoing LH in our hospital between April and August 2024.They were randomly divided into control group(n=25,general anesthesia)and paravertebral block group(n=26,paravertebral nerve block before general anesthesia induction).Beside anesthesia,they received same other medical treatment.The following indicators were compared between the 2 groups,that is,serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBIL)and albumin(ALB),and systemic-immune inflammation(SII)index within 7 d before and on the 1st and 2nd days after surgery;heart rate and mean arterial pressure(MAP)before anesthesia induction(T1),before pneumoperitoneum establishment(T2),pneumoperitoneum establishment(T3),and at the first hilar occlusion(T4);usages of intraoperative norepinephrine,sevoflurane,and analgesic drugs 24 h postoperatively;as well as operation time,extubation time,and lengths of postanesthesia care unit(PACU)stay and hospital stay.Results The paravertebral block group had significantly lower ALT on the 1st day after surgery[178.40(126.55,325.86)vs 292.20(197.20,468.95)U/L],SII on the 2nd day after surgery[704.13(486.61,1 078.59)vs 1 075.09(753.80,1 614.38)],and amount of analgesic drugs in 24 h after surgery[29.70(27.37,32.07)vs 31.99(28.92,40.81)mg],and decreased MAP level at T3 and T4,early extubation,and shorter lengths of PACU stay and hospital stay when compared with the control group(all P<0.05).Conclusion Paravertebral nerve block combined with general anesthesia can reduce inflammatory responses,relieve postoperative pain,stabilize hemodynamics for patients undergoing LH,and thereby alleviate postoperative liver injury in them.

In the field of substance detection,ion dissociation techniques have become crucial for enhancing qualitative accuracy.By applying external energy to induce dissociation of ions in the substance being analyzed,the internal structural information can be obtained,thereby improving qualitative capabilities.Current research on ion dissociation techniques primarily focuses on tandem mass spectrometry,which typically requires a vacuum environment.However,research on ambient ion dissociation techniques is less developed,with some progress made in the field of tandem ion mobility spectrometry.Recently,the development of field-induced dissociation(FID)in this area has enabled ambient dissociation of various explosive and volatile alcohol ions.Nevertheless,the limitation imposed by the maximum breakdown field of air restricts the energy of the electric field,making it challenging to dissociate ions with high energy requirements,such as those of drugs.To address this issue,in this work,an ambient heat-induced dissociation(HID)technique based on high temperatures was proposed,in which an ambient ion heat-induced dissociation unit was developed and integrated into a home-made ion trap mass spectrometer.Experiments were conducted on four representative drug samples,e.g.methamphetamine,heroin,cocaine,and ketamine.The parent ions mass spectra,low vacuum collision-induced dissociation(CID)mass spectra and ambient HID mass spectra for each sample were obtained.By analyzing and comparing the fragmentation products from ambient and low vacuum dissociation,the feasibility of the ambient HID technique was verified.This technique provided a method for ion dissociation in single mass analyzers without tandem mass spectrometry capability and offered a new research direction for the future development of tandem ion mobility spectrometry.

Objective To explore the relationship between the level of Caveolin-1 and high mobility group protein B1(HMGB-1)in cerebrospinal fluid and the severity of sepsis and their predictive value.Methods A total of 102 children with sepsis were selected in a hospital from June 2021 to December 2023.According to neonatal critical case scoring criteria,the children were divided into mild group(n=41)and severe group(n=61).According to the diagnostic criteria of purulent meningitis and the results of cerebrospinal fluid examina-tion,the children were divided into sepsis complicated with purulent meningitis group(n=16)and simple sepsis group(n=86).The clinical data of the children were collected,and the levels of Caveolin-1,HMGB-1 and inflammatory factors[hypersensitive C-reactive protein(hs-CRP),procalcitonin(PCT)and tumor necro-sis factor-α(TNF-α)]in cerebrospinal fluid of the children were detected by enzyme-linked immunosorbent assay.Multivariate Logistic regression analysis was conducted to analyze the factors affecting the severity of sepsis,and the receiver operating characteristic curve was drawn to analyze the diagnostic value of Caveolin-1 and HMGB-1 in the severity of sepsis and the prediction value of purulent meningitis in the children.Results Compared with mild group,cerebrospinal fluid levels of Caveolin-1 and HMGB-1 in severe group were signifi-cantly increased,and the difference was statistically significant(P<0.05).The levels of PCT,hs-CRP and TNF-α in severe group were significantly higher than those in mild group,and the difference was statistically significant(P<0.05).Multivariate Logistic regression analysis showed that PCT,hs-CRP,TNF-α,Caveolin-1 and HMGB-1 levels were all risk factors for the severity of sepsis in children(P<0.05).The combined diag-nosis of Caveolin-1 and HMGB-1 was significantly better than that of Caveolin-1(Z=2.109,P=0.035),HMGB-1(Z=2.099,P=0.036),PCT(Z=2.487,P=0.013),hs-CRP(Z=2.419,P=0.016)and TNF-α(Z=3.441,P=0.001)were diagnosed alone.Compared with simple sepsis group,cerebrospinal fluid Caveo-lin-1 and HMGB-1 levels in sepsis complicated with purulent meningitis group were significantly increased,and the difference was statistically significant(P<0.05).The combined prediction of Caveolin-1 and HMGB-1 was significantly better than that of Caveolin-1(Z=2.621,P=0.009)and HMGB-1(Z=1.997,P=0.046)alone.Conclusion There are significant increases in the levels of Caveolin-1 and HMGB-1 in chil-dren with severe sepsis or sepsis complicated with purulent meningitis.Caveolin-1 and HMGB-1 have a certain clinical value in evaluating the severity of sepsis in children and predicting whether they are complicated with purulent meningitis.

AIM: To investigate the clinical efficacy of pars plana vitrectomy(PPV)combined with fovea-sparing internal limiting membrane(ILM)peeling and silicone oil(SO)tamponade for treating pathological myopic foveoschisis(PMF).METHODS:This study is a retrospective observational analysis of 10 cases(10 eyes)diagnosed with PMF that underwent PPV with fovea-sparing ILM peeling and SO tamponade between January 2023 and November 2024. The best-corrected visual acuity(BCVA), central foveal thickness(CFT), foveoschisis(FS), and the detachment and reattachment of FS and macular fovea were assessed preoperatively and at 1 wk, 1 and 3 mo postoperatively.RESULTS:Among the 10 cases of PMF patients(10 eyes), the complete reattachment rate was 30%(3 eyes), while partial reattachment was observed in 70%(7 eyes). At 3 mo postoperatively, BCVA(LogMAR)was significantly improved to 0.957±0.393 compared with 1.432±0.509 before surgery(P<0.05), and both CFT(437.9±180.4 vs. 207.5±76.1 μm)and FS(686.5±172.2 vs. 290.7±86.6 μm)showed significant decreases(P<0.05). No complications such as macular hole, retinal detachment, silicone oil emulsification, or endophthalmitis were observed during the surgery or throughout the follow-up period.CONCLUSION:PPV with SO tamponade and fovea-sparing ILM peeling has been demonstrated to facilitate both visual acuity improvement and anatomical reattachment in cases of PMF.

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.