Objective: To investigate the association of the joint effect of body fat levels and dyslipidemia with cardiovascular structural abnormalities in children, so as to provide a scientific reference for the early prevention of cardiovascular damage. Methods: Based on the data from the second follow up (October 2021 to January 2022) of the Huantai Children Cardiovascular Health Follow up Cohort, 1 308 children with complete data were included. The fat mass percentage (FMP), fat mass index (FMI), subcutaneous fat mass (SFM) and visceral fat mass (VFM), left ventricular mass index (LVMI), relative wall thickness (RWT), thickening of carotid intima-media thickening (cIMT) , left ventricular hypertrophy (LVH) and left ventricular geometric remodeling (LVG), triglyceride (TG), total cholesterol (TC) ,high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) were obtained. Multivariable Logistic regression model was used to analyze the associations of FMP, FMI, SFM and VFM with thickening of cIMT, LVH and LVG. The joint effects of these body fat indicators and dyslipidemia on the aforementioned cardiovascular outcomes were further explored. Restricted cubic spline model was used to examine the dose response relationships between body fat levels and cardiovascular structural abnormalities. Results: Elevated body fat levels were significantly associated with an increased risk of cardiovascular structural abnormalities, exhibiting J shaped dose response relationships (all P <0.05). Compared with the group with normal body fat and normolipidemia, the risks of thickening of cIMT, LVH, and LVG in the group with elevated FMP combined with dyslipidemia were higher[ OR (95% CI )=11.70 (6.49-21.27), 5.53 (2.97-10.17), 2.33 (1.30-4.05)]; in the group with elevated FMI combined with dyslipidemia, the corresponding risks were higher[ OR (95% CI )= 11.68 (6.43-21.38), 6.98 (3.73-12.92), 2.65 (1.50-4.61)]; in the group with elevated SFM combined with dyslipidemia, the corresponding risks were higher[ OR (95% CI )=10.55 (5.83-19.24), 5.11 (2.71-9.45), 1.99 (1.11- 3.46 )]; and in the group with elevated VFM combined with dyslipidemia, the corresponding risks were higher[ OR (95% CI )=12.44 (6.76-23.14), 6.17 ( 3.31 -11.38), 2.30 (1.30-3.99)] (all P <0.05). Sex stratified analyses showed that the risk of thickening of cIMT in the combined exposure group of all four body fat indicators and dyslipidemia was significantly higher in girls than in boys (all P <0.01). Conclusions Elevated body fat levels and dyslipidemia have a combined effect in children, collectively increasing the risk of cardiovascular structural abnormalities. Prevention of cardiovascular damage in children should focus on both adiposity management and blood lipid regulation.

Objective To systematically search,evaluate and summarise the best evidence for the management of swallowing disorders in senile dementia,and provide evidence for clinical practice.Methods Systematic search of guidelines,expert consensus,evidence summaries,systematic reviews on the management of swallowing disorders in dementia patients on databases and clinical decision support systems including BMJ Best Clinical Practices,UpToDate,International Guidelines Collaboration Network(IGCN),National Institute for Health and Care Excellence(NICE),Scottish intercollegiate guidelines network(SIGN),national guideline clearinghouse(NGC),Registered Nurses Association of Ontario(RNAO),New Zealand Guidelines Group(NZGG),World Health Organization(WHO),Medlive,PubMed,Cochrane Library,Embase,Web of Science,Joanna Briggs Institute(JBI),CNKI,Wanfang,VIP,SinoMed,the website of the European Society for Swallowing Disorders(ESSD)and Japanese Society of Dysphagia Rehabilitation(JSDR).Clinical decisions,guidelines,expert consensus,evidence summaries,systematic reviews,and clinical trial studies on the management of swallowing disorders in dementia patients were searched.The search was from inception to 30th November,2023.Two researchers trained in evidence-based nursing systems conducted literature screening and data extraction,and determined appropriate evaluation tools to evaluate the quality of the included literature,extracted and graded the evidence,and finally summarised the best evidence suitable for the management of swallowing disorders in dementia patients.Results A total of 8 literature were included,covering 1 guideline,1 clinical decision,4 evidence summaries,and 2 systematic reviews.Finally,19 pieces of evidence were collected from 5 aspects,including screening and evaluation,feeding behaviour management,auxiliary training,education and training,and follow-up monitoring.Conclusion The best evidence summarised in this study provided evidence-based reference for the management of swallowing disorders in patients with dementia by healthcare workers.

Objective:To report the 5-year survival outcomes and recurrence patterns of robotic total gastrectomy (RTG) for locally advanced proximal gastric cancer in order to provide more valuable long-term follow-up results for clinical practice.Methods:This was a prospective, single-arm, open-label clinical trial (FUGES-014; Clinical-Trials.gov, NCT03524287). Patients with locally advanced proximal gastric cancer who underwent RTG at Fujian Medical University Union Hospital from March 5, 2018, to February 10, 2020, were included in the analysis. To evaluate the long-term efficacy of RTG in the most objective manner possible, we performed a propensity score-matched (1∶2) comparative analysis with historical control patients who had undergone laparoscopic total gastrectomy (LTG) from the FUGES-002 study (ClinicalTrials.gov, NCT02333721) in which the 5-year disease-free survival (DFS), 5-year overall survival (OS), and recurrence patterns were compared between the two groups.Results:Prior to matching, there were 48 cases in the RTG group and 263 cases in the LTG group; patients in the LTG group had more advanced cT and pT stages ( P=0.044 and 0.006, respectively) compared to the RTG group. After matching, there were 48 cases in the RTG group and 96 cases in the LTG group; however, no statistically significant differences were observed in the baseline clinical characteristics between the two groups (all P>0.05). Both groups had a median follow-up of 72 months. The 5-year DFS rates were 75.0% (95%CI: 63.7%- 88.3%) in the RTG group and 61.4% (95%CI: 52.5%-72.0%) in the LTG group ( P=0.116). Similarly, the 5-year OS rates were 79.2% (95%CI: 68.5%-91.5%) and 64.6% (95%CI: 55.7%-74.9%) in the RTG and LTG groups, respectively ( P=0.100). Within 5 years after surgery, tumor recurrence occurred in 10 patients (20.8%) in the RTG group and 33 patients (34.4%) in the LTG group ( P=0.124), and peritoneal recurrence was the predominant pattern in both groups (8.3%[4/48] vs. 10.4%[10/96]; risk difference: -0.02, P=0.554). Gastric cancer-related death was the predominant cause of death in both groups (16.7% [8/48] vs. 31.2% [30/96]; risk difference: -0.15, P=0.064). Among patients stratified by different pathological stages, no statistically significant differences were found in DFS, OS, or recurrence rates between the RTG and LTG groups (all P>0.05). Conclusions:We find the long-term oncological outcomes of RTG for locally advanced proximal gastric cancer to be noninferior to those of LTG. RTG should therefore be considered as a valid option for standardized minimally invasive surgery for locally advanced proximal gastric cancer.

Objective:This study aims to analyze the performance of five automatic cell type annotation methods in single cell RNA sequencing (scRNA-seq) data.Methods:Simulated data were generated using the Splatter package in R language, taking into account two data characteristics: the number of cells and the number of genes. The actual data came from the GSE10245 scRNA seq dataset of non-small cell lung cancer in Gene Expression Omnibus (GEO) database, the data had been pre-processed and batch effects had been eliminated. The automatic cell type recognition (ACTINN) of neural networks, the single-cell type annotation method based on deep learning (scDeepSort), the reference batch transcriptome annotation scRNA seq R-package (SingleR), the cross platform and cross species scRNA seq data classifier (SingleCellNet), and the cross scRNA seq dataset projection (scMap-cell) were implemented using the Tensorflow library in Python. The performance evaluation indicators for cell type annotation included accuracy (ACC), F1-score, and Matthews correlation coefficient (MCC). Each method was validated using ten fold cross validation, and the average value was taken after 50 repeated runs for performance comparison between methods. The Dunnett's t-test in the DescTools package of R language was used for multiple comparisons between ACTINN and other four methods. Results:Under 12 different scenarios (3 levels of cell numbers × 4 levels of gene numbers), simulated data analysis showed that compared with scDeepSort, SingleR, SingleCellNet, and scMap-cell, the percentage increase in ACC value of ACTINN ranged from 3.31% to 14.59%, 1.38% to 13.03%, 12.98% to 25.25%, and 20.72% to 29.62%, respectively; the range of F1 score improvement percentages were 2.75% - 22.74%, 2.46% - 23.68%, 5.07% - 27.47%, and 10.27% - 31.47%, respectively; the percentage increase ranges for MCC values were 3.42% - 9.75%, 2.26% - 7.61%, 5.41% - 11.11%, and 8.27% - 15.22%, respectively. Actual data analysis showed that the ACC value of ACTINN was 81.0%, which was increased by 2.1%, 5.2%, 7.9%, and 8.9% compared with the above four methods, respectively; the F1-score value was 80.5%, which was increased by 2.3%, 5.9%, 2.4%, and 6.0%, respectively; the MCC value was 83.3%, which was increased by 0.9%, 2.5%, 3.4%, and 11.2%, respectively. The results of Dunnett's t-test showed that the difference was not statistically significant in ACC values between scDeepSort and ACTINN ( P = 0.821), in F1-score values between scDeepSort and ACTINN ( P = 0.498), and in MCC values between scDeepSort, SingleCellNet and ACTINN ( P = 0.904, 0.134). However, the differences were statistically significant in other multiple comparisons ( P < 0.05). Conclusions:ACTINN and scDeepSort have good performance in cell type annotation, with ACTINN showing outstanding performance and SingleR showing robust performance, while SingleCellNet and scMap-cell have relatively limited performance. This suggests that self-attention mechanism algorithm based on Transformer framework is expected to promote further development of automatic cell annotation methods.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.

Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.

ObjectiveTo study the effect of Bufei Tongbi decoction on pulmonary fibrosis in diabetic rats via the transforming growth factor-β₁ （TGF-β₁）/phosphorylated Smad family member 3 （p-Smad3） signaling pathway. MethodsStreptozotocin （60 mg·kg^-1） and bleomycin （24.80 U·kg^-1） were used to prepare the rat model of diabetes with pulmonary fibrosis by intratracheal injection. Sixty rats were randomly assigned into blank， model， low-， medium-， and high-dose （3.98， 7.95， and 15.90 g·kg^-1， respectively） Bufei Tongbi decoction， and pirfenidone （0.36 mg·kg^-1） groups （n=10）. The successfully modeled rats in each group were administrated with corresponding agents once per day for four consecutive weeks. After drug administration， fasting blood glucose and lung function indicators were measured. Chemical immunoassay was employed to determine the serum levels of hydroxyproline （Hyp）， hyaluronic acid （HA）， and laminin （LN）. The lung index was determined by the wet and dry methods. The pathological changes in the lung tissue were observed by hematoxylin-eosin （HE） staining， and the degree of fibrosis was detected by Masson staining. The mRNA and protein levels of TGF-β₁， p-Smad3， Smad3， α-smooth muscle actin （α-SMA）， collagen type Ⅰ alpha 1 （Col1A1）， and fibronectin were determined by PCR and Western blotting， respectively. ResultsCompared with the blank group， the model group showed alveolar septa thickening， obvious thickening of the basement membrane of pulmonary blood vessels， severe destruction of the alveolar structure， structural disarrangement of the lung parenchyma， and an increase in the proportion of inflammatory cell infiltration in the lung tissue， together with a large amount of blue collagen deposition and a large amount of collagen fibroplasia in the bronchial wall， vessel wall， interstitium， and alveolar wall， which indicated severe fibrosis. Bufei Tongbi decoction groups and the pirfenidone group showed lower fasting blood glucose level （P<0.05） and higher forced vital capacity （FVC）， cytoplasmic dynein （Cydn）， FEV_0.3/FEV ratio， and lung index （P<0.05） than the model group. Moreover， these groups demonstrated alleviated lung fibrosis， elevated Hyp， HA， and LN levels， down-regulated mRNA levels of α-SMA， Col1A1， and fibronectin， and down-regulated protein levels of TGF-β₁， Smad3， p-Smad3， α-SMA， Col1A1， and fibronectin （P<0.05）. ConclusionBufei Tongbi decoction can inhibit pulmonary fibrosis in diabetic rats by inhibiting the TGF-β₁/p-Smad3 signaling pathway.

ObjectiveThis paper aims to verify the therapeutic effect of Cranial Painkiller pills' extract powder prepared by the new process on the rat's trigeminal neuralgia model caused by infraorbital injection of Talci Pulvis， evaluate its potential clinical application value， and compare the therapeutic effect with that of Cranial Painkiller granules， so as to provide data support for the application of the Cranial Painkiller pills' extract powder and precise treatment. MethodsThe rat's trigeminal neuralgia model was constructed by infraorbital injection of Talci Pulvis， and the rats were randomly divided into the normal group， model group， carbamazepine group （60 mg·kg^-1）， Cranial Painkiller granules group （2.70 g·kg^-1）， and low， medium， and high dosage groups of Cranial Painkiller pills' extract powder （1.35， 2.70， 5.40 g·kg^-1） according to the basal mechanical pain thresholds， and there were 10 rats in each group. The drug was administered by gavage to each group 2 h after modeling， and distilled water was given by gavage to the normal and model groups under the same conditions once a day for 10 d. Von Frey brushes were used to measure mechanical pain thresholds in rats. Hematoxylin-eosin （HE） staining was used to detect pathological changes in the trigeminal ganglion， and enzyme-linked immunosorbent assay （ELISA） was used to detect the inflammatory factors interleukin-1 （IL-1）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， and tumor necrosis factor-α （TNF-α） levels in rat serum， as well as neuropeptide substance P （SP） and β-endorphin （β-EP） levels in rat brain tissue. Western blot technique was used to detect the levels of NLRP3， ASC， Caspase-1， and OTULIN proteins in rat brain tissue. ResultsCompared with the normal group， the pain threshold of rats in the model group showed a continuous significant decrease （P<0.01）. The pathological damage of brain tissue was significant （P<0.01）， and the inflammatory levels of IL-1， IL-6， IL-8， and TNF-α in serum were significantly elevated （P<0.01）. The level of the SP in the brain tissue was significantly elevated （P<0.01）， and the level of β-EP was significantly reduced （P<0.01）， while the level of OTULIN was significantly reduced， and NLRP3， ASC， and Caspase-1 protein levels were significantly elevated （P<0.01）. After administration of the drug， compared with the model group， the pain threshold of each dose group of the Cranial Painkiller pills' extract powder and the Cranial Painkiller granules group significantly increased （P<0.01）. The inflammatory levels of IL-1， IL-6， IL-8， and TNF-α and SP levels significantly decreased （P<0.01）， and the β-EP levels were significantly elevated （P<0.01）， while the levels of OTULIN protein were significantly elevated （P<0.05， P<0.01）， and the levels of NLRP3， ASC proteins were decreased （P<0.01）in high dose Cranial Painkiller pills' extract powder. Meanwhile， compared with those in the model group， the trigeminal ganglion lesions of rats in the Cranial Painkiller pills' extract powder and Cranial Painkiller granules groups showed different degrees of improvement （P<0.05， P<0.01）. ConclusionThe Cranial Painkiller pills' extract powder has significant therapeutic effects on the rat model of trigeminal neuralgia induced by infraorbital injection of Talci Pulvis， and its mechanism is related to the improvement of OTULIN-regulated neuroinflammation.

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.

ObjectiveThis paper aims to investigate the therapeutic effects of Jidesheng Sheyao tablets on varicella-zoster virus （VZV） and its associated postherpetic neuralgia （PHN） to provide experimental evidence for the clinical application and secondary development of Jidesheng Sheyao tablets. MethodsFifty-six guinea pigs were randomly divided into seven groups according to their body weight， namely the normal group， the model group， the positive control group， the high-dose group， medium-dose group， and low-dose group of Jidesheng Sheyao tablets （1.92， 0.96， 0.48 g·d^-1）， and the group treated with oral administration combined with topical application of Jidesheng Sheyao tablets （0.96 g·d^-1 + 1.2 g·kg^-1·d^-1）. The skin on the back of the guinea pigs in each group was depilated and then abraded with sandpaper. Except for the normal group， 200 μL of VZV solution was dropped on the damaged parts of the back of the guinea pigs in the other groups， and the infection lasted for 2 consecutive days. The drug administration started 2 hours after the infection on the first day and lasted for 7 days. The pathological changes of the back of the guinea pigs in each group were observed every day starting from the second day after the infection. On the 7^th day， the guinea pigs were sacrificed by CO₂ anesthesia. The locally infected skin was taken， and the viral DNA nucleic acid load was detected by real-time polymerase chain reaction （Real-time PCR）. The pathological histology examination was carried out after hematoxylin-eosin （HE） staining. Seventy rats were randomly divided into seven groups according to their body weight， namely the normal group， the model group， the positive control group， the high-dose group， medium-dose group， and low-dose group of Jidesheng Sheyao tablets （1.08， 0.54， 0.27 g·d^-1）， and the group treated with oral administration combined with topical application of Jidesheng Sheyao tablets （0.54 g·d^-1 + 1.2 g·kg^-1·d^-1）. The rats in each group （except the normal group） were subcutaneously inoculated with 50 μL of VZV suspension between the web of the first and second fingers of the left forelimb. The skin on the back of the rats was depilated， and the drug administration started 2 hours after the infection and lasted for 10 days. The mechanical withdrawal threshold of the paws of the rats was detected by a Von Frey filament algometer before inoculation and on the 1^st， 3^rd， 6^th， 8^th， and 10^th days after inoculation， and the thermal withdrawal reflex latency of the paws of the rats was detected by a hot and cold plate algometer. On the 10^th day after the virus inoculation， the rats were anesthetized after the behavioral examination， and the dorsal root ganglia of the spinal cord and spinal cord segments were taken. The contents of substance P （SP）， neurokinin （NK）， tumor necrosis factor-α （TNF-α）， and interleukin-1β （IL-1β） in the dorsal root ganglia of the spinal cord and spinal cord were detected by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with those in the normal group， the guinea pigs in the model group had obvious skin herpes lesions （P<0.01）. The viral nucleic acid load was high （P<0.01）， and there were disorganized subcutaneous cellular structures and obvious infiltration of inflammatory cells and cell necrosis （P<0.01）. The mechanical withdrawal threshold of the paws and the thermal withdrawal reflex latency of the paws of the rats were significantly decreased （P<0.05）， and the contents of NK， SP， TNF-α， and IL-1β in the dorsal root ganglia of the spinal cord and spinal cord of the rats were significantly increased （P<0.01）. Compared with the model group， the high-dose and medium-dose groups of topical administration of Jidesheng Sheyao tablets and the group of oral administration combined with topical application could significantly improve the lesions such as skin redness and herpes of the guinea pigs caused by VZV infection （P<0.01）， reduce the VZV viral nucleic acid load in the skin tissues of the guinea pigs （P<0.01）， alleviate the degree of inflammatory cell infiltration and skin cell necrosis in the skin tissue （P<0.05）， significantly increase the mechanical withdrawal threshold of the paws and the thermal withdrawal reflex latency of the paws of the rats （P<0.05）， and decrease the contents of NK， SP， TNF-α， and IL-1β in the dorsal root ganglia of the spinal cord and spinal cord of the rats （P<0.01）. ConclusionJidesheng Sheyao tablets demonstrated significant therapeutic effects on VZV-induced skin infections and postherpetic neuralgia （PHN）， providing a promising candidate for the prevention and treatment of VZV infections.