Objective To investigate the effect of midazolam on neuronal damage in ischemic stroke （IS） rats and its regulatory effect on PTEN-induced putative kinase 1 （PINK1）/E3 ubiquitin ligase （PARKIN） signaling pathway. Methods An IS rat model was established using arterial occlusion method. The rats with successful model were randomly divided into IS group, drug-low, medium, high-dose （drug-L, M, H, 30, 60, 90 mg/kg midazolam） groups, drug-H+autophagy inhibitor 3-MA group （90 mg/kg midazolam+30 mg/kg 3-MA）, and rats with only isolated blood vessels were used as sham surgery groups. Each group received corresponding doses of drugs or physiological saline intervention, and the neurological function scoring, brain histopathology, neuronal apoptosis, ultrastructure, and expression of PINK1, PARKIN, microtubule-associated protein 1 light chain 3 （LC3）, and P62 protein in mitochondria were detected. Results Compared with the IS group, the pathological damage of the drug-L group, drug-M group, and drug-H group was improved, and autophagosomes showed an increasing trend, the expression of PINK1, PARKIN, and LC3 proteins increased, the neurological function score, neuronal apoptosis rate, and P62 protein obviously decreased in a dose-dependent manner （P<0.01 or P<0.001）; compared with the drug-H group, the pathological damage in the drug-H+3-MA group increased and autophagosomes decreased, the expression of PINK1, PARKIN, and LC3 proteins decreased, the neurological function score, neuronal apoptosis rate, and P62 protein obviously increased （P<0.001）. Conclusion Midazolam induced mitochondrial autophagy in IS rats by activating the PINK1/PARKIN signaling pathway, neuronal apoptosis was reduced and neuronal damage were improved in IS rats.

Currently, the global malaria epidemic is still severe. China was certified malaria-free by WHO in 2021; however, there is a risk of cross-border importation and secondary transmission of malaria via aircrafts and through land bordering countries in China because of the complex environments in border areas between China and neighboring malaria-endemic countries, notably the explosive growth in the malaria epidemic in Myanmar in China-Myanmar border areas. This article summarizes typical cases of secondary transmission caused by imported malaria across the world, and proposes responses to cross-border importation and secondary transmission of malaria in non-border and border areas of China, in order to effectively reduce the risk of malaria importation and secondary transmission and consolidate the hard earned malaria elimination achievements.

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.

ObjectiveTo investigate the prognostic differences between primary biliary cholangitis （PBC） patients positive for different autoantibodies and the risk factors for poor prognosis， and to facilitate early and effective intervention for PBC patients. MethodsA total of 141 patients who were diagnosed with PBC for the first time in Fenyang Hospital of Shanxi Province from January 2018 to December 2023 were enrolled and divided into group A （80 patients positive for anti-mitochondrial antibody M2 ［AMA-M2］ alone）， group B （36 patients positive for AMA-M2 and anti-gp210 antibody）， and group C （25 patients positive for AMA-M2 and anti-sp100 antibody）， and the three groups were compared in terms of general information， laboratory markers， and prognosis. The Globe score was used for prognostic evaluation， and a Globe score of<0.3 and the absence of liver cirrhosis at the time of confirmed diagnosis were defined as good prognosis， while a Globe score of ≥0.3 or the presence of liver cirrhosis at the time of confirmed diagnosis were defined as poor prognosis. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups， and the Dunn’s multiple test was used for further comparison between two groups； the chi-square test was used for comparison of categorical data between groups. The univariate and multivariate Logistic regression analyses were used to investigate the influencing factors for the prognosis of PBC patients； the receiver operating characteristic （ROC） curve was plotted， and the area under the ROC curve （AUC） was calculated. ResultsCompared with group A， groups B and C had a significantly higher proportion of male patients， a significantly higher detection rate of liver cirrhosis， significantly higher levels of ALT， TBil， and ALP， and significantly lower levels of PLT and Alb （all P<0.05）. The Globe score was calculated based on related indicators after treatment with ursodeoxycholic acid （UDCA） for 1 year， and the results showed that there was a significant difference in prognosis between the three groups （P<0.001）， and compared with group A， groups B and C had a significantly higher proportion of patients with a Globe score of ≥0.3 （P<0.05） and a significantly higher rate of suboptimal response to UDCA （P<0.05）. The univariate Logistic regression analysis showed that anti-gp210 antibody， anti-sp100 antibody， UDCA response， PLT， Alb， ALT， TBil， and ALP were associated with the prognosis of PBC patients （all P<0.05）. The variables meeting related conditions were included in the multivariate Logistic regression analysis， and the results showed that anti-gp210 antibody （odds ratio ［OR］=4.959， 95% confidence interval ［CI］： 1.112 — 22.122， P=0.036）， anti-sp100 antibody （OR=21.666， 95%CI： 1.542 — 304.449， P=0.023）， Alb （OR=0.899， 95%CI： 0.814 — 0.994， P=0.038）， PLT （OR=0.974， 95%CI： 0.963 — 0.985， P<0.001）， and UDCA response （OR=10.275， 95%CI： 1.047 — 100.831， P=0.046） were independent influencing factors for the prognosis of PBC patients. The ROC curve analysis showed that PLT had the best performance in predicting the prognosis of PBC patients， with an AUC of 0.824， a sensitivity of 85.7%， and a specificity of 71.7%. ConclusionPatients with dual positivity for AMA-M2 and anti-gp210 antibody， as well as those with dual positivity for AMA-M2 and anti-sp100 antibody， tend to have a poorer prognosis and a higher rate of suboptimal response to UDCA. Furthermore， positivity for anti-gp210 antibody， positivity for anti-sp100 antibody， thrombocytopenia， hypoalbuminemia， and suboptimal response to UDCA all indicate poor clinical prognosis.

Objective To explore the epidemiological characteristics and treatment outcomes of venomous snake bites in Yunnan Province from 2023 to 2024.Methods A retrospective analysis was performed on 1,727 snakebite cases collected from 16 administrative regions in Yunnan Province between January 2023 and December 2024,focusing on the following indicators:(1)demographic characteristics(age and gender distribution);(2)characteristics of injury events(location,time distribution,and affected body parts);(3)composition of venomous snake species;(4)clinical features and treatment protocols;(5)efficacy evaluation indicators(time for local symptom relief,duration of hospital stay,and follow-up results).Results High-incidence areas for snake bites in Yunnan Province included Wenshan(308/1727),Kunming(285/1727),Qujing(270/1727),Lincang(139/1727),Baoshan(120/1727),and Dali(105/1727),with incidents primarily occurring from June to September.The most frequently encountered venomous snake species were Ovophis and Trimeresurus,known for their hemotoxic venom.Bite victims were mainly young adults.Clinical manifestations primarily included pain and swelling,with bites mainly occurring on limbs and in mountainous or forested areas.Anti-venom treatment concentrated on anti-ancistrodon acutus serum.Swelling generally subsided within 2(2,3)days,with an average hospital stay of 4(3,5)days.96.46%of patients receiving standardized treatment fully recovered,with a follow-up disability rate of 0.35%.Conclusion The incidents of venomous snake bites in Yunnan Province have significant regional and seasonal concentration,with Wenshan,Kunming,Qujing and other areas being high-risk areas.The peak period of incidents is from June to September in summer,and the main types of snakes causing injuries are those containing blood toxins;The victim group is mainly young people,and bites often occur in the limbs,with typical symptoms of pain and swelling;The main treatment is anti snake serum;Snake bite patients who receive formal diagnosis and treatment have a higher recovery rate and a lower follow-up disability rate,but there is still a need to raise public awareness of standardized diagnosis and treatment for snake bites.

Objective: To investigate the regulatory role of Porphyromonas gingivalis(Pg) infection on the EGFR/GSK3β signaling axis, and its impact on epithelial-mesenchymal transition(EMT) and cetuximab(Ctx) resistance in esophageal squamous cell carcinoma(ESCC). Methods: Single cell RNA sequencing was employed to perform differential analysis of cellular subpopulations, identifying differentially expressed genes in ESCC tissues infected and non-infected with Pg. IHC was conducted to assess the expression of Pg and epidermal growth factor receptor(EGFR) in ESCC tissues. Western blot, RT-PCR, and IF staining were performed to evaluate EGFR expression in Pg infected ESCC cell lines KYSE70 and TE1. ESCC cells were treated with Pg and EGFR inhibitor Ctx, and divided into four groups: control(NC) group, Pg group, Ctx group, Pg+Ctx group. Cell proliferation, migration and invasion abilities were evaluated using CCK-8, plate cloning, wound healing and Transwell assay. Western blot analysis was performed to detect the expression of EMT and EGFR/GSK3β signaling pathway-associated proteins and their phosphorylation levels. Transforming growth factor-β1(TGF-β1) was used to induce EMT in ESCC cells, promoting a transition from the epithelial phenotype to mesenchymal-like phenotype. The differential effects of Ctx on these two phenotypic states were subsequently compared. Results: Epithelial cells were predominantly enriched in Pg-positive tissues, and Pg infection promoted the upregulation of EGFR expression in ESCC cells. Compared to the NC group, Pg treatment significantly enhanced the proliferation, invasion and migration capabili-ties of ESCC cells, and also increased chemoresistance to Ctx and reduced its antitumor efficacy. Pg induced EMT in ESCC cellsviathe EGFR/GSK3β signaling pathway. Notably, Ctx exhibited markedly weaker inhibitory effects on mesenchymal-like cells compared to epithelial ESCC cells. Conclusion Pg promotes ESCC cells proliferation, invasion and migration by regulating EMT through the EGFR/GSK3β signaling pathway, and enhances chemoresistance to Ctx.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective To investigate the effect and mechanism of remimazolam on circulatory function in septic shock rats.Methods Seventy-two SPF grade rats were randomly divided into the control group,the model group,the dexamethasone group,the low and high dose remimazolam groups and the high-dose remimazolam+Nrf2 inhibitor(ML385)group,with 12 rats in each group.The septic shock rat model was established by intravenous infusion of 10 mg/kg lipopolysaccharide(LPS).After 6 hours of modeling,the mean arterial pressure(MAP)and heart rate(HR)of rats were measured.Enzyme linked immunosorbent assay(ELISA)method was applied to measure serum levels of lactic acid(Lac),tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,IL-6,nitric oxide(NO),and endothelin-1(ET-1).Hematoxylin-eosin(HE)staining was applied to observe morphological changes in vascular tissue.TUNEL staining was applied to observe the apoptosis of vascular endothelial cells.DHE fluorescent probe was used to detect the level of ROS in vascular tissue.The colorimetric method was applied to detect the contents of MDA and the activity of SOD in vascular tissue.Western blot assay was applied to detect the protein expression of nuclear factor E2-related factor 2(Nrf2)and glutathione peroxidase 4(GPX4)in vascular tissue.Results Compared with the control group,MAP,SOD activity in vascular tissue,Nrf2 and GPX4 protein levels were lower in the model group,while HR,serum Lac,NO,ET-1,TNF-α,IL-1β,IL-6 levels,endothelial cell apoptosis rate,ROS level in vascular tissue and MDA content were higher(P＜0.05).Compared with the model group,MAP,SOD activity in vascular tissue,Nrf2 and GPX4 protein levels were higher in the dexamethasone group and in the low and high dose remimazolam groups,while HR,serum Lac,NO,ET-1,TNF-α,IL-1β,IL-6 levels,endothelial cell apoptosis rate,ROS level in vascular tissue and MDA content were lower(P＜0.05).Nrf2 inhibitor ML385 greatly reduced the protective effect of remimazolam on septic shock rats(P＜0.05).Conclusion Remimazolam may improve circulatory function in septic shock rats by activating the Nrf2/GPX4 pathway,inhibiting inflammatory response and oxidative stress,reducing endothelial cell damage.

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 investigate the effect and mechanism of remimazolam on circulatory function in septic shock rats.Methods Seventy-two SPF grade rats were randomly divided into the control group,the model group,the dexamethasone group,the low and high dose remimazolam groups and the high-dose remimazolam+Nrf2 inhibitor(ML385)group,with 12 rats in each group.The septic shock rat model was established by intravenous infusion of 10 mg/kg lipopolysaccharide(LPS).After 6 hours of modeling,the mean arterial pressure(MAP)and heart rate(HR)of rats were measured.Enzyme linked immunosorbent assay(ELISA)method was applied to measure serum levels of lactic acid(Lac),tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,IL-6,nitric oxide(NO),and endothelin-1(ET-1).Hematoxylin-eosin(HE)staining was applied to observe morphological changes in vascular tissue.TUNEL staining was applied to observe the apoptosis of vascular endothelial cells.DHE fluorescent probe was used to detect the level of ROS in vascular tissue.The colorimetric method was applied to detect the contents of MDA and the activity of SOD in vascular tissue.Western blot assay was applied to detect the protein expression of nuclear factor E2-related factor 2(Nrf2)and glutathione peroxidase 4(GPX4)in vascular tissue.Results Compared with the control group,MAP,SOD activity in vascular tissue,Nrf2 and GPX4 protein levels were lower in the model group,while HR,serum Lac,NO,ET-1,TNF-α,IL-1β,IL-6 levels,endothelial cell apoptosis rate,ROS level in vascular tissue and MDA content were higher(P＜0.05).Compared with the model group,MAP,SOD activity in vascular tissue,Nrf2 and GPX4 protein levels were higher in the dexamethasone group and in the low and high dose remimazolam groups,while HR,serum Lac,NO,ET-1,TNF-α,IL-1β,IL-6 levels,endothelial cell apoptosis rate,ROS level in vascular tissue and MDA content were lower(P＜0.05).Nrf2 inhibitor ML385 greatly reduced the protective effect of remimazolam on septic shock rats(P＜0.05).Conclusion Remimazolam may improve circulatory function in septic shock rats by activating the Nrf2/GPX4 pathway,inhibiting inflammatory response and oxidative stress,reducing endothelial cell damage.