ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

An 82-year-old female patient with atrial fibrillation and heart failure was treated with dabigatran etexilate 110 mg twice daily for 6 years. Two months ago, the patient′s lower limb edema was aggravated and urine output was reduced. Considering the worsening of the patient′s heart failure, torasemide tablets and spironolactone tablets were given, but her symptoms were not improved. Two days ago, the patient had scattered petechiae on the whole skin, tarry stools, and reduced urine (200 ml daily). Laboratory tests showed hemoglobin (Hb) 63 g/l, prothrombin time (PT) 39.5 s, activated partial thromboplastin time (APTT) 117.2 s, thrombin time (TT) >300 s, and international normalized ratio (INR) 3.64; the fibrinogen (Fib) could not be measured. Coagulation dysfunction and gastrointestinal bleeding caused by dabigatran etexilate were considered. Dabigatran etexilate was discontinued, and intravenous infusion of idarucizumab injection (2.5 g) was given twice. Then gastrointestinal bleeding in the patient disappeared and laboratory tests showed PT 12.7 s, APTT 42.4 s, TT 18.8 s, INR 1.18, and Fib 2.67 g/L. After 8 days, the patient′s cardiac function was improved, the skin ecchymosis subsided, and laboratory tests showed Hb 84 g/L, PT 14 s, APTT 37.8 s, TT 41.2 s, INR 1.3, Fib 2.26 g/L, and negative fecal occult blood test.

Objective To determine the application effect of esketamine pretreatment in laparoscopic high ligation of hernia sac in children.Methods A total of 70 children who received laparoscopic high ligation of hernia sac under general anesthesia were selected and divided into the control group and the observation group according to the random number table method,with 35 cases in each group.The control group received conventional general anesthesia,while the observation group was intravenously injected with 0.5 mg/kg of esketamine 15 minutes before the induction of general anesthesia.The preoperative anxiety score,respiratory mechanics indexes,lung injury status,anesthesia recovery,and adverse reactions during the awakening period were compared between the two groups.Results The anxiety scores of the observation group 10 minutes before anesthesia and immediately before anesthesia were significantly lower than those of the control group(P<0.05).The peak airway pressure and mean airway pressure of the observation group 30 minutes after establishing pneumoperitoneum and at the end of the operation were significantly lower than those of the control group(P<0.05).The levels of interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)at the end of the operation in the observation group were significantly lower than those in the control group(P<0.05).There was no statistically significant difference in the time of spontaneous breathing recovery,time to regain consciousness,tracheal extubation time,or post-anesthesia care unit(PACU)stay time between the two groups(P>0.05).The incidence of adverse reactions during the anesthetic awakening period in the observation group was significantly lower than that in the control group(P<0.05).Conclusion Esketamine pretreatment can significantly alleviate preoperative separation anxiety for children undergoing laparoscopic high ligation of hernia sac,reduce lung injury,and decrease airway pressure,which is beneficial to lung protection and postoperative anesthetic recovery,and has few adverse reactions.

Objective To determine the application effect of esketamine pretreatment in laparoscopic high ligation of hernia sac in children.Methods A total of 70 children who received laparoscopic high ligation of hernia sac under general anesthesia were selected and divided into the control group and the observation group according to the random number table method,with 35 cases in each group.The control group received conventional general anesthesia,while the observation group was intravenously injected with 0.5 mg/kg of esketamine 15 minutes before the induction of general anesthesia.The preoperative anxiety score,respiratory mechanics indexes,lung injury status,anesthesia recovery,and adverse reactions during the awakening period were compared between the two groups.Results The anxiety scores of the observation group 10 minutes before anesthesia and immediately before anesthesia were significantly lower than those of the control group(P<0.05).The peak airway pressure and mean airway pressure of the observation group 30 minutes after establishing pneumoperitoneum and at the end of the operation were significantly lower than those of the control group(P<0.05).The levels of interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)at the end of the operation in the observation group were significantly lower than those in the control group(P<0.05).There was no statistically significant difference in the time of spontaneous breathing recovery,time to regain consciousness,tracheal extubation time,or post-anesthesia care unit(PACU)stay time between the two groups(P>0.05).The incidence of adverse reactions during the anesthetic awakening period in the observation group was significantly lower than that in the control group(P<0.05).Conclusion Esketamine pretreatment can significantly alleviate preoperative separation anxiety for children undergoing laparoscopic high ligation of hernia sac,reduce lung injury,and decrease airway pressure,which is beneficial to lung protection and postoperative anesthetic recovery,and has few adverse reactions.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Objective To investigate the application and effectiveness of a zero-trust network architecture(ZTNA)in a hospital's smart-management platform,providing a practical reference for network-architecture optimization in smart-hospital initiatives.Methods A single-arm mode was involved in the deployment of ZTNA.An encrypted tunnel was established by the zero-trust proxy gateway,and the components for zero-trust terminal security,behavior management,firewall,identity authentication,security operation and analysis center were synergized with the help of a logical bus to form a security protection system of end-to-end trust assessment,dynamic access control,micro-isolation and visualization,and the integration and access to the hospital's intelligent management platform were realized by means of ticket injection.Results ZTNA markedly enhanced data protection for the platform,and significantly improved user experience by simplified authentication and enhanced support for mobile operation.Conclusion ZTNA ensures the security of kinds of hospital business systems,and lays a foundation for large comprehensive hospitals to construct cross-region,cross-institution and multi-center medical information platforms and open data sharing modes.[Chinese Medical Equipment Journal,2025,46(8):50-57]

Objective:To investigate the prognostic value of peripheral blood absolute monocyte count(AMC)in non-severe aplastic anaemia(NSAA)patients.Methods:178 patients with NSAA who attended the Affiliated Hospital of Xuzhou Medical University from April 2008 to September 2020 were retrospectively analyzed,and the optimal cut-off value of peripheral blood AMC was determined by the receiver operating characteristic curve of the subjects,and they were divided into low AMC group(48 patients)and normal AMC group(130 patients),and the differences in clinical characteristics between the two groups were compared.Overall survival(OS)and progression-free survival(PFS)were analyzed by Kaplan-Meier.Univariate and multivariate Cox regression analysis were used to determine the independent prognostic value of AMC.Results:Among 178 NSAA patients,105(59.0％)were male and 73(41.0％)were female,with a median age of 31(18-87)years old,a median follow-up time of 58 months(range:6 months-175 months),and a median AMC of 0.15 × 109/L[range:(0.01-0.59)× 109/L)].The proportion of granulocytes(27.5％vs 36.0％,P＜0.05),and the proportion of mature monocytes(1％vs 2％,P＜0.05)in the low AMC group were lower than that in the normal AMC group;the proportion of mature lymphocytes in the low AMC group was higher than that in the normal AMC group(54％vs 50％,P＜0.05).However,there was no significantly different in the proportion of erythropoietic cells and stages of the erythropoietic cells between the two groups(P＞0.05).CR(27.7％vs 10.4％)and ORR(75.4％vs 56.3％)in the normal AMC group were higher than that in the low AMC group.Compared with patients in the low AMC group,AA patients in the normal AMC had better 5-year OS(98.5％vs 86.9％,P＜0.01),and the 5-year PFS(86.0％vs 58.9％,P＜0.01).Also,the 10-year survival rate of patients in the normal AMC group was higher than that in the low AMC group(98.5％vs 60.5％,P＜0.01).Univariate analysis showed that age,reticulocyte count,AMC＜0.1 × 109/L and the proportion of bone marrow mature monocytes were related with patients survival.Multivariate Cox regression analysis showed that monocyte count reduction was not an independent poor prognostic factor in NSAA patients(HR=4.474,95％CI:0.508-44.390;P=0.172).Conclusion:Low AMC level at initial diagnosis is not an independent prognostic factor for NSAA patients,but still suggest potential prognostic value of AMC.