Objective To investigate and analyze the current situation of the construction of Smart Hospital in the dis-trict-level hospital of Beijing,and to provide reference for thedistrict-level hospitals to promote the construction of Smart Hospitals.Methods A questionnaire survey was conducted in Beijing district-level hospitals,and the construc-tion of Smart Hospital was analyzed by descriptive statistical analysis.Results The overall construction rate of Beijing district-level hospitals smart service business function was 50.98％,and the overall average construction rate of hos-pital smart management business function was 46.72％.93.75％hospitals thought that the investment in Smart Hos-pital construction was insufficient.The functions of smart service and management in different grades and categories of hospitals were different.Conclusion In order to promote the construction of Smart Hospital in Beijingdistrict-level hospitals,we should improve the top-level system such as strategic planning for the construction of smart hospi-tals,increase the investment in hospital informatization and talent teams,strengthen the standardization of intercon-nection between different hospitals,enhance the sharing and utilization of medical data and information,and strengthen the application of new hospital technologies and hospital information security.

Objective To investigate the correlation between peripheral blood CD14+CD16+monocytes and IgG N-glycosyl levels and disease activity in patients with systemic lupus erythematosus(SLE).Methods A total of 109 SLE patients admitted to Xingtai Cental Hospital from August 2021 to November 2024 were retrospectively selected as the study objects.According to SLE disease activity index(SLE-DAI),the patients were divided into active group(n=52)and stable group(n=57).In addition,56 patients who underwent physical examination during the same period were selected as the control group.Clinical data of patients were collected,CD14+CD16+mononuclear cells were detected by flow cytometry(FCM),and IgG N-glycosyl levels were detected by hydrophilic interaction chromatography-mass spectrometry.Logistic regression analysis was performed to analyze the influencing factors of SLE-DAI,and multicollinearity test[variance inflation factor(VIF)]was performed for independent variables.The prediction model of disease activity was constructed.The effectiveness of the predictive model was evaluated by describing the recviver operator characteristic(ROC)curve and calculating the area under the curve(AUC)value.Hosmer-Lemeshow goodness-of-fit test predicted the calibration degree of the model.Results The levels of WBC,Hb,PLT,ALB,complement C3 and complement C4 in control group were higher than those in SLE group(t=8.917～22.171),and the levels of CRP were lower than those in SLE group(t=-17.359),with differences were statistical significance(all P<0.05).The CRP level and the proportion of CD14+CD16+mononuclear cells in the active group were higher than those in the stable group,and the differences were statistically significant(t=5.449,11.112,all P<0.05).The IgG glycosylation characteristics of galactosylation,sialylation and N-acetylglucosamine modification were lower than those in the stable group,and the differences were statistical significance(Z=-2.432～-0.158,all P<0.05).Spearman correlation analysis showed that the proportion of CD14+CD16+monocytes was significantly negatively correlated with IgG galactosylation,sialylation level and bisection N-acetylglucosamine modification(r=-0.656,-0.531,-0.608,all P<0.01).CD14+CD16+monocyte ratio was positively correlated with SLE-DIA(r=0.581,all P<0.01).IgG galactosylation,sialylation levels and bisection N-acetylglucosamine modification were negatively correlated with SLE-DIA(r=-0.645,-0.609,-0.503,all P<0.01).Logistic regression analysis showed that CRP>8.21mg/L,CD14+CD16+≥16.17%,sialylation<22.05%and isotropic N-acetylglucosamine modification<16.53%were independent risk factors for disease activity in SLE patients(Wald χ2=4.471～12.811,all P<0.05).The VIF values of the above independent variables were all less than 10.By establishing the Logistic regression prediction model and drawing the ROC curve,the AUC value for diagnosing SLE disease activity was 0.821(95%CI:0.733～0.905),the sensitivity,specificity and the Yodon index were 85.37%,75.67%,0.677,respectively.and the P values of Hosmer-Lemeshow goodness-of-fit test models were 0.568,respectively.Conclusion The proportion of CD14+CD16+monocytes in peripheral blood of SLE patients increase significantly,and the level of IgG glycosylation characteristics decrease,both of which are correlated with SLE-DIA.The predictive model constructed based on the two had a good ability to distinguish SLE-DIA from inactive state,with high sensitivity and moderate specificity conducive to early clinical recognition,and the model fitting effect is good.SLE-DIA can be evaluated more accurately.

This study aims to investigate the effects of Pulsatilla powder(PP)on colonic intestinal flora and tryptophan metabolism in piglets with diarrhea.Twenty-four weaned piglets were ran-domly divided into the normal control group,model group,self-healing group,and PP group.The model of piglet diarrhea was established by the compound factor of external evil+internal injury+epi-demic virus,and treated with PP.During the modeling period,the body weight,mental status and fecal patterns of piglets were monitored daily.After the experiment,the colon tissues were collect-ed for histopathological observation,and the inflammatory factors IL-1β and IL-6 in the colon tis-sue was detected by ELISA,16S rRNA was used to analyze colonic intestinal flora and RT-qPCR was used to determine the expression of genes related to tryptophan metabolism in the colon.The results showed that,compared with the model group,PP significantly improved the pathological status of the colon in piglets with diarrhea,with elevated body mass and a significant increase in goblet cells(P＜0.05);and significantly reduced the levels of IL-1β and IL-6 in the colon of diar-rhea piglets(P＜0.05).The results of intestinal flora showed that PP increased the abundance of Firmicutes(P＜0.01),Spirochaeota(P＜0.01)and Lactobacillus(P＜0.05),reduced the abun-dance of Bacteroidota(P＜0.05)、Prevotella_NK3B31_group(P＜0.05)and Clostridium_sensu_stricto 1(P＜0.01).Meanwhile,PP significantly reduced the expression level of TPH1 mRNA(P＜0.05),increased the expression levels of AhR(P＜0.05)and IL-22 mRNA in the co-lon of diarrhea piglets.These results indicates that PP may alleviate diarrhea in piglets by regula-ting colonic intestinal flora and genes related to intestinal tryptophan metabolism.This study pro-vides data support for the subsequent investigation of piglet diarrhea prevention and treatment.

Objective To investigate the efficacy and mechanism of the combination of cryoablation and Yangfei establish the Lewis lung cancer mouse model,and randomly divided into model group,cryoablation group,cryoablation+cisplatin group,cryoablation+Yangfei Prescription low-,medium-and high-dosage groups,with 5 mice in each group.Sham-operation was performed in the model group,cryoablation+cisplatin group were given intraperitoneal injection of cisplatin 3 mg/kg after cryoablation,cryoablation+Yangfei Prescription low-,medium-and high-dosage groups were given 1.64,3.28,6.56 g/kg Yangfei Prescription by gavage after cryoablation respectively,and the model group was given equal volume of normal saline by gavage for 14 consecutive days.Tumor volume and tumor mass were measured,the morphology of tumor tissue was observed by HE staining,the expression of Ki-67 protein in tumor tissue was detected by immunohistochemistry.The differentially expressed genes in tumor tissues after cryoablation combined with Yangfei Prescription intervention were analyzed by whole transcriptome sequencing,GO and KEGG pathway enrichment analysis was performed on differentially expressed genes,and the lncRNA/circNA-mediated ceRNA network was constructed.Differentially expressed genes were verified using RT-qPCR.Results The main active components of Yangfei Prescription were terpenoids,flavonoids and aldehydes.Compared with the model group,tumor volume and tumor mass decreased(P<0.05)in cryoablation+Yangfei Prescription low-,medium-and high-dosage groups and cryoablation+cisplatin group;cryoablation combined with Yangfei Prescription could destroy the structure of tumor tissue and inhibit cell proliferation(P<0.05).A total of 1 585 differentially expressed genes(1 160 mRNA,225 lncRNA,155 miRNA and 45 circRNA)of the model group and cryoablation+Yangfei Prescription high-doseage group were obtained.GO enrichment analysis mainly involved biological processes such as immune system response and cell proliferation,cellular components such as protein complex and cell junction,molecular functions such as transcription regulator activity and molecular function regulator;KEGG pathway enrichment mainly occurred in cancer-related pathways such as PI3K-Akt signaling pathway,Th17 cell differentiation,mTOR signaling pathway,FOXO signaling pathway,etc.The lncRNA-mediated ceRNA network was composed of 97 lncRNA,73 miRNA and 417 mRNA,and the circRNA-mediated ceRNA network was composed of 26 circRNA,68 miRNA and 157 mRNA.RT-qPCR validated the expressions of 15 differentially expressed genes,which was consistent with the sequencing results.Conclusion Cryoablation combined with Yangfei Prescription can inhibit the tumor growth of Lewis lung cancer bearing mice,destroy the structure of tumor tissue,inhibit cell proliferation,the mechanism may be related to the regulation of Gm38393/miRNA-136-5p/Zfp704 axis.

Objective To investigate and analyze the current situation of the construction of Smart Hospital in the dis-trict-level hospital of Beijing,and to provide reference for thedistrict-level hospitals to promote the construction of Smart Hospitals.Methods A questionnaire survey was conducted in Beijing district-level hospitals,and the construc-tion of Smart Hospital was analyzed by descriptive statistical analysis.Results The overall construction rate of Beijing district-level hospitals smart service business function was 50.98％,and the overall average construction rate of hos-pital smart management business function was 46.72％.93.75％hospitals thought that the investment in Smart Hos-pital construction was insufficient.The functions of smart service and management in different grades and categories of hospitals were different.Conclusion In order to promote the construction of Smart Hospital in Beijingdistrict-level hospitals,we should improve the top-level system such as strategic planning for the construction of smart hospi-tals,increase the investment in hospital informatization and talent teams,strengthen the standardization of intercon-nection between different hospitals,enhance the sharing and utilization of medical data and information,and strengthen the application of new hospital technologies and hospital information security.

This study aims to investigate the medication rules of patented traditional Chinese medi-cine(TCM)compound formulas and molecular mechanisms of core drugs for treating sepsis using data mining and network pharmacology approaches.In the present study,we first searched the PubMed database,Web of Science database,and the China National Knowledge Infrastructure(CNKI)since the establishment of the library to April 30,2024 for the relevant literature on the treatment of sepsis by traditional Chinese medicine.The prescriptions were then statistically ana-lyzed for drug frequency and association analysis to obtain the core drugs.Then we screened the ef-fective active ingredients of the core drugs by TCMSP and other database platforms,obtained sep-sis-related genes in GeneCards and other databases,and statistically intersected targets,and predic-ted the mechanism of action of the core TCMs by subjecting the intersected targets to PPI analy-sis,GO function and KEGG pathway enrichment analysis.Finally,the relationship between key tar-gets and herbal components was examined in reverse by molecular docking method.The results showed that 64 compound formulas were obtained,with a total of 150 Chinese medicines,which were mostly sweet in taste,cold in nature,and belonged to the spleen,stomach and intestinal me-ridians.According to the association rules,the core drugs were identified as"mirabilite-peach ker-nel-rheum officinale".There were 79 intersecting targets between the core drugs and sepsis,with core targets such as IL-1β,EGFR and SRC.MAPK,TNF,IL-17 and other signaling pathways are involved to mediate inflammatory responses,apoptosis and other biological processes to exert ther-apeutic effects on sepsis.The molecular docking results indicated that the docking activity of the key targets with the main components of the drug,and sennoside E_qt has the lowest binding ener-gy and the best docking activity with SRC.In conclusion,this study showed that the prescription of Chinese medicine for sepsis is mostly based on tonifying the spleen and clearing heat.The mecha-nism of action of the core drug"mirabilite-peach kernel-rheum officinale"in the treatment of sep-sis is multilevel and multifaceted,which provides a certain theoretical basis for the treatment of sepsis by traditional Chinese medicine.

This study aims to investigate the medication rules of patented traditional Chinese medi-cine(TCM)compound formulas and molecular mechanisms of core drugs for treating sepsis using data mining and network pharmacology approaches.In the present study,we first searched the PubMed database,Web of Science database,and the China National Knowledge Infrastructure(CNKI)since the establishment of the library to April 30,2024 for the relevant literature on the treatment of sepsis by traditional Chinese medicine.The prescriptions were then statistically ana-lyzed for drug frequency and association analysis to obtain the core drugs.Then we screened the ef-fective active ingredients of the core drugs by TCMSP and other database platforms,obtained sep-sis-related genes in GeneCards and other databases,and statistically intersected targets,and predic-ted the mechanism of action of the core TCMs by subjecting the intersected targets to PPI analy-sis,GO function and KEGG pathway enrichment analysis.Finally,the relationship between key tar-gets and herbal components was examined in reverse by molecular docking method.The results showed that 64 compound formulas were obtained,with a total of 150 Chinese medicines,which were mostly sweet in taste,cold in nature,and belonged to the spleen,stomach and intestinal me-ridians.According to the association rules,the core drugs were identified as"mirabilite-peach ker-nel-rheum officinale".There were 79 intersecting targets between the core drugs and sepsis,with core targets such as IL-1β,EGFR and SRC.MAPK,TNF,IL-17 and other signaling pathways are involved to mediate inflammatory responses,apoptosis and other biological processes to exert ther-apeutic effects on sepsis.The molecular docking results indicated that the docking activity of the key targets with the main components of the drug,and sennoside E_qt has the lowest binding ener-gy and the best docking activity with SRC.In conclusion,this study showed that the prescription of Chinese medicine for sepsis is mostly based on tonifying the spleen and clearing heat.The mecha-nism of action of the core drug"mirabilite-peach kernel-rheum officinale"in the treatment of sep-sis is multilevel and multifaceted,which provides a certain theoretical basis for the treatment of sepsis by traditional Chinese medicine.

Objective To investigate the value of whole lung CT radiomics combined with clinical and conventional CT features for differentiating non-tuberculous mycobacterial pulmonary disease(NTM-PD)and pulmonary tuberculosis(PTB).Methods Fifty-three NTM-PD(NTM-PD group)and 111 PTB(PTB group)patients diagnosed by mycobacteria culture were retrospectively collected.The patients were divided into training set(n=115,including 37 cases of NTM-PD and 78 cases of PTB)and test set(n=49,including 16 cases of NTM-PD and 33 cases of PTB)at the ratio of 7∶3.Patients'clinical and pulmonary CT manifestations of lesions were analyzed using univariate and multivariate logistic regression,and the independent impact factors for differentiating NTM-PD and PTB lesions were screened.The best radiomics features were extracted and screened based on whole lung CT.Based on independent impact factors,the best radiomics features and their combination,clinical-CT,radiomics and combined models were constructed with random forest,and the differential efficacy of each model was evaluated.Results Patients'age(OR=0.264),gender(OR=0.956),immunoglobulin G(OR=3.416),C reactive protein(OR=3.418)and bronchiectasis shown on CT(OR=0.285)were all independent impact factors for differentiating NTM-PD and PTB.Twelve best radiomics features were screened based on whole lung ROI.The AUC of combined model in training set and test set was 0.915 and 0.901,respectively,both higher than that of clinical model(AUC=0.832,0.801,Z=1.340,3.710,both P＜0.05)and radiomics model(AUC=0.877,0.821,Z=-2.520,-5.240,both P＜0.05).Conclusion Whole lung CT radiomics combined with clinical and conventional CT features could effectively distinguish NTM-PD and PTB.

Danggui Buxue decoction(DBD)is a classic prescription with immunomodulatory and hematopoietic effects.Previous studies have shown the DBD has potential to be used as an oral im-mune booster.However,its immunomodulatory effects and mechanism of action have not been thoroughly studied,especially the protective mechanism of immunomodulatory regulation in the state of immunosuppressive is still unclear.The aim of this study was to explore the protective mechanism of DBD in the immunosuppressive state using network pharmacology combined with animal experiments verification.The active components,core targets and signaling pathways of DBD in treating immunosuppression were obtained using network pharmacology tools.On this ba-sis,the active components of DBD were identified using HPLC-MS,and in vivo studies were con-ducted at the same time.The key active components of DBD obtained using network pharmacology included quercetin,kaempferol and formononetin.The core targets included TP53,RELA,TNF,AKT1,and IL-6.KEGG pathway enrichment analysis showed that phosphoinositide 3-kinase(PI3K)-protein kinase B(AKT)may play an important role in the treatment of immunosuppres-sive diseases using DBD.Molecular docking confirmed that each core target had good binding activ-ity with its corresponding compounds.Animal experiments showed that after DBD intervention,the mRNA gene and protein expression of RELA,TNF,and IL-6 in the serum was significantly down-regulated.The mRNA expression of PI3K and AKT in the ileum and PI3K protein expression were also downregulated.In conclusion,DBD exerts its role in treating immunosuppressive diseases by regulating the PI3K-AKT signaling pathway.

This study was aimed at predicting and analyzing the structural and functional properties of the persistence-associated secretory protein PaaX in Mycobacterium tuberculosis(M.tb),identifying its interacting partners,and elucidating its biological roles.Bioinformatics analysis revealed that PaaX comprises 240 amino acids with a molecular mass of 26.54 kDa(C1158H1866N354O334S14).The protein lacks transmembrane domains but contains a signal peptide.Its secondary structure is dominated by α-helices(53.33%),fol-lowed by random coils(36.25%)and extended strands(10.42%),thereby forming a homotetrameric spatial configuration.Potential PaaX-interacting proteins,including Rv0406c,EchA4,EchA5,HsaE,FadE8,LpqP,and End,were predicted.These candidate genes and the paaX gene were cloned into bacterial two-hybrid vectors and co-transformed into Escherichia coli BTH101 cells.Colony PCR and sequencing confirmed the accuracy of the recombinant constructs.Bacterial two-hybrid assays demonstrated direct interac-tions of PaaX with EchA4,HsaE,FadE8,and LpqP.Moreover,gradient dilution experiments indicated that the strongest binding af-finity occurred between PaaX and EchA4.AlphaFold 3 modeling further validated these interactions,thus providing high-confidence predictions of binding interfaces.Our findings revealed that PaaX,a secreted α-helix-rich protein,engages in specific interactions with key metabolic enzymes(EchA4,HsaE,and FadE8)and a lipoprotein(LpqP),thus suggesting its potential involvement in lipid metabolism,stress adaptation,and host-pathogen interactions.This study provides novel insights into PaaX's contribution to M.tb per-sistence and pathogenicity,and highlights its value as a potential target for tuberculosis diagnostics and therapeutic development.