Objective To explore the effects of cerium-doped mesoporous bioactive glass nanoparticles(Ce-MBGNs)as reactive oxy-gen species(ROS)-responsive nanocarriers on inflammation in pulp and their potential to promote odontogenic differentiation of dental pulp stem cells(DPSCs).Methods The cytotoxicity of Ce-MBGNs was assessed by CCK-8.The expression of mRNA of osteogenic/odontogenic differentiation in DPSCs and that of inflammatory factor in RAW264.7 cells were detected by RT-qPCR.Alkaline phospha-tase and Alizarin Red S staining were utilized to investigate their ability to promote dentin mineralization.The ability of Ce-MBGNs to scavenge ROS was evaluated by immunofluorescence and JC-1 staining was used to assess the membrane potential(MMP)of mitochon-drial.Results Ce-MBGNs exhibited good biocompatibility and significantly increased the expression of osteogenic/odontogenic-related genes in DPSCs,promoting mineralization.Additionally,Ce-MBGNs effectively scavenged intracellular ROS,maintained MMP,inhib-ited the expression of pro-inflammatory factors,and promoted the expression of anti-inflammatory factors.Conclusion Ce-MBGNs can protect DPSCs from oxidative damage by maintaining the MMP of mitochondrial and controlling inflammation,and promote their odonto-blastic differentiation,providing a theoretical basis for the development of novel therapeutic agents for oral treatment.

Objective To investigate the mechanisms of 6-hydroxygenistein(6-OHG)in the treatment of high-altitude hypoxia-induced lung injury.Methods The intersection targets of 6-OHG and high-altitude hypoxia-induced lung injury were identified using databases,including Swiss Target Prediction,SuperPred,GeneCards,and OMIM.The STRING database and Cytoscape software were used to construct a protein interaction network for the intersection targets of drugs and diseases,and targets with degree values greater than the median were identified as key targets.GO and KEGG enrichment analyses of key targets were performed using the DAVID database to identify relevant signaling pathways.The Maestro 13.7 software was used for molecular docking validation.A large hypobaric hypoxic chamber was used to establish a high-altitude lung injury model in mice.A total of 42 male BALB/c mice were randomly assigned to 3 groups(n=14 in each group),including a normal control group,which was exposed to the environmental conditions at the altitude of 1400 m and received a single intraperitoneal injection of normal saline,a model group,which received a single intraperitoneal injection of normal saline,and a 6-OHG group,which received a single intraperitoneal injection of 6-OHG at 100 mg/kg.Then,1 h after drug administration,mice in the model and 6-OHG groups were placed in a large hypobaric hypoxic simulation chamber for animal experiments.Then,they ascended to an altitude of 8 000 m at a speed of 10 m/s,remained in that environment for 24 h,and then descended to an altitude of 3500 m.Mice in the three groups were sacrificed,and their lung tissues were extracted to measure the water content in the lungs.Pathological changes were observed using HE staining,and the levels of malondialdehyde(MDA),H2O2,total superoxide dismutase(T-SOD),and glutathione(GSH)were measured.Western blot was performed to determine the expression levles of p-PI3K/PI3K,p-AKT/AKT,hypoxia-inducible factor 1α(HIF-1α),and vascular endothelial growth factor(VEGF)proteins.Results Key targets such as serine/threonine protein kinase 1(AKT1),HIF-1α,epidermal growth factor receptor(EGFR),matrix metalloproteinase 9(MMP9),and peroxisome proliferator-activated receptor A(PPARA)were identified.GO and KEGG enrichment analyses showed that the targets of 6-OHG in the treatment of high altitude hypoxia-induced lung injury were mainly involved in PI3K/AKT,HIF-1α/VEGF,tumor necrosis factor(TNF),and other signaling pathways.The results of animal experiments demonstrated that compared with the model group,the 6-OHG group showed significant improvement in the pathological damage of lung tissues induced by high altitude hypoxia,presenting statistically significant differences in the levels of MDA,H2O2,GSH,and T-SOD(P＜0.01).The results of Western blot assay revealed statistically significant differences in the p-PI3K/PI3K,p-AKT/AKT,HIF-1α,and VEGF levels in the lung tissues of the 6-OHG group compared with those of the model group(P＜0.01).The molecular docking results showed that 6-OHG could form stable binding with PI3K,AKT,HIF-1α,and VEGF.Conclusion 6-OHG may alleviate lung injury induced by high altitude hypoxia in mice by activating the PI3K/AKT signaling pathway and inhibiting the HIF/VEGF signaling pathway.

OBJECTIVES: To investigate the targets and mechanisms of 7-hydroxyethyl chrysin (7-HEC) in prevention and treatment of high-altitude cerebral edema (HACE) in rats. METHODS: Fifty-four male Wistar rats were randomly divided into normal control group, HACE model group, and 7-HEC-treated group (18 rats in each group). Except for the normal control group, rats in the two other groups were exposed to a hypobaric hypoxic chamber simulating a 7000 m altitude for 72 h to establish the HACE model. The 7-HEC-treated group was intraperitoneally injected with 7-HEC (150 mg·kg^－¹·d^－¹) for 3 consecutive days before modeling, while the model group received equivalent isotonic sodium chloride solution. Tandem Mass Tag (TMT) proteomics technology was used to detect differentially expressed proteins (DEPs) with screening criteria set at a fold change >1.2 and P<0.05. Western blotting was used to verify the expression levels of target proteins. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed. RESULTS: Compared with the normal control group, 256 DEPs were identified in the HACE model group. Compared with the HACE model group, 87 DEPs were identified in the 7-HEC-treated group. Among them, 19 DEPs that were dysregulated in the HACE model group were restored after 7-HEC intervention, of which seven (HSPA4, Arhgap20, SERT, HACL1, CCDC43, POLR3A, and PCBD1) were confirmed by Western blotting. GO enrichment analysis of the DEPs between the HACE model and 7-HEC-treated groups revealed their involvement in 13 biological processes, five cellular components, and two molecular functions. KEGG pathway analysis indicated associations with the mRNA surveillance pathway, Th17 cell differentiation, serotonergic synapse, RNA polymerase, protein processing in the endoplasmic reticulum, peroxisome, neuroactive ligand-receptor interaction, folate biosynthesis. PPI network analysis demonstrated that HSPA4, POLR3A, and HACL1, which were validated by Western blotting, interacted with multiple signaling pathways and ranked among the top 20 hub proteins by degree value, suggesting their potential role as core regulatory factors. Arhgap20, SERT and PCBD1 also exhibited interactions with several proteins, suggesting their potential as key regulatory proteins, whereas no interactions for CCDC43 were identified. CONCLUSIONS This study applied TMT proteomics to identify seven potential therapeutic targets of 7-HEC for the prevention and treatment of HACE. These targets may be involved in the pathogenesis of HACE through multiple pathways, including maintaining cellular homeostasis, ameliorating oxidative stress, regulating energy metabolism, and reducing vascular permeability.
Animals ; Male ; Proteomics/methods* ; Rats, Wistar ; Flavonoids/therapeutic use* ; Rats ; Brain Edema/etiology* ; Altitude Sickness/metabolism* ; Protein Interaction Maps

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Objective To explore the effects of cerium-doped mesoporous bioactive glass nanoparticles(Ce-MBGNs)as reactive oxy-gen species(ROS)-responsive nanocarriers on inflammation in pulp and their potential to promote odontogenic differentiation of dental pulp stem cells(DPSCs).Methods The cytotoxicity of Ce-MBGNs was assessed by CCK-8.The expression of mRNA of osteogenic/odontogenic differentiation in DPSCs and that of inflammatory factor in RAW264.7 cells were detected by RT-qPCR.Alkaline phospha-tase and Alizarin Red S staining were utilized to investigate their ability to promote dentin mineralization.The ability of Ce-MBGNs to scavenge ROS was evaluated by immunofluorescence and JC-1 staining was used to assess the membrane potential(MMP)of mitochon-drial.Results Ce-MBGNs exhibited good biocompatibility and significantly increased the expression of osteogenic/odontogenic-related genes in DPSCs,promoting mineralization.Additionally,Ce-MBGNs effectively scavenged intracellular ROS,maintained MMP,inhib-ited the expression of pro-inflammatory factors,and promoted the expression of anti-inflammatory factors.Conclusion Ce-MBGNs can protect DPSCs from oxidative damage by maintaining the MMP of mitochondrial and controlling inflammation,and promote their odonto-blastic differentiation,providing a theoretical basis for the development of novel therapeutic agents for oral treatment.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

At the time of the reform and adjustment of discipline transformation,the Institute of Respiratory and Critical Care Medicine,the 8th Medical Center of Chinese PLA General Hospital,relies on Beijing Key Laboratory of Organ Transplantation and Immunology Regulatory,to build a multidisciplinary postgraduate joint training mode based on immunology.From the aspects of indi-vidualized postgraduate training background,teaching mode,ability training,etc.,the practice mode of joint training of postgraduates in multiple clinical disciplines is explored.In order to cultivate medical thinking talents with systematic and holistic theory,and pre-pare for future clinical work.

Objective:To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their families, and provide data support for clinical decision-making.Methods:A retrospective study was conducted. The clinical information of stroke patients ( n = 53?793) were extracted from the Yidu cloud big data server system of the Second Affiliated Hospital of Dalian Medical University from January 1, 2001 to July 31, 2023. Combined with the results of single factor screening and the opinions of experts with senior professional titles in neurology, the input variable was determined, and the output variable was the National Institutes of Health Stroke Scale (NIHSS) representing the severity of the disease at admission. Python 3.7 was used to build DeepFM algorithm model, and five data mining models including Logistic regression, CART decision tree, C5.0 decision tree, Bayesian network and deep neural network (DNN) were built at the same time. The original data were randomly divided into 80% training set and 20% test set, which were used to train and test the models, adjust the parameters of each model, respectively calculate the accuracy, sensitivity and F-index of the six models, carry out the comprehensive comparison and evaluation of the model. The receiver operator characteristic curve (ROC curve) and calibration curve were drawn, compared the prediction performance of DeepFM model and the other five algorithms. In addition, the data of stroke patients ( n = 1?028) were extracted from Dalian Central Hospital for external verification of the model. Results:A total of 14?015 stroke patients with complete information were selected, including 11?212 in the training set and 2?803 in the testing set. After univariate screening, 14 indicators were included to construct the model, including gender, age, recurrence, physical impairment, facial problems, speech disorders, head reactions, disturbance of consciousness, visual disorders, abnormal cough and swallowing, high risk factor, family history, smoking history and drinking history. DeepFM model adopted the two-order crossover feature. The number of hidden layers in DNN layer was 3. Dropout was used to discard the neurons in the neural network. Rule was used as the activation function. Each layer used Dense full connection. The objective function was random gradient descent. The number of iterations was 15. There were 133?922 training parameters in total. Comparing the predictive value of the six models showed that the accuracy of DeepFM model was 0.951, the sensitivity was 0.992, the specificity was 0.814, the F-index was 0.950, and the area under the curve (AUC) was 0.916. The accuracy of the other five data mining models were between 0.771-0.780, the sensitivity were between 0.978-0.987, the F-index were between 0.690-0.707, and the AUC were between 0.568-0.639. The calibration curve of the DeepFM model was more aligned with the ideal curve than the other five data mining models. Suggesting that the prediction performance of DeepFM model was the best. External validation was conducted on the DeepFM model, and its accuracy was 0.891, indicating good generalization performance of the model.Conclusion:The pre-hospital non-invasive screening prediction model based on DeepFM can accurately predict the severity grading of stroke patients, and has potential application value in rapid screening and early clinical decision-making of stroke.

Objective To analyse the current status of the clinical use and management of surgical robots in China and to provide scientific evidence for the standardization of clinical use.Methods It conducted policy research on domestic surgical robot regulations,registration,and approval processes,along with a nationwide survey and on-site investigation into the current management and use of surgical robots in hospitals.Results (1) Surgical robots are not classified as AI medical devices.(2) Multiple departments are working together to promote the development of surgical robots,but supporting management systems need to be strengthened.(3) The use of surgical robots is concentrated in specific specialties:Urology (46.81％),Gastrointestinal Surgery (14.51％),Thoracic Surgery (14.20％),Gynecology (11.03％),Hepatobiliary Surgery (7.64％).(4) The mechanisms for selecting and training surgical robot operators are not well-established.Conclusion Strengthen national-level regulatory frameworks and improve management standards for surgical robots.Enhance the management capabilities of healthcare institutions and ensure supporting measures are in place.Standardize clinical training for the use of surgical robots and gradually achieve systematic and standardized training.Encourage the reporting and continuous improvement of adverse events related to robotic surgeries.