OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

ObjectiveTo investigate the role of interleukin （IL）-17A in acute inhalational pneumonia induced by the highly drug-resistant and hypervirulent Staphylococcus aureus strain USA300-R in mice. MethodsAn acute inhalational pneumonia model was established in mice using an aerosolized pulmonary delivery technique. RNA sequencing （RNA-seq） and enzyme-linked immunosorbent assay （ELISA） were employed to examine the expression dynamics of Il17a mRNA and IL-17A protein， respectively， in the lungs of infected mice. Il17a knockout （Il17a^-/-） mice were generated using CRISPR/Cas9 gene editing technology. The survival rate， body weight， bacterial load in lung tissue， and histopathological changes were compared between Il17a^-/- and wild-type （WT） mice following inhalational infection with USA300-R. Results12 hours after USA300-R infection， compared to pre-infection， the expression level of Il17a mRNA in lung tissue and the level of IL-17A protein in bronchoalveolar lavage fluid （BALF） increased by approximately 50-fold （P<0.01） and 6-fold （P<0.001）， respectively. Compared to WT mice， Il17a^-/- mice exhibited approximately 10-fold higher bacterial loads in lung tissue at both 12 and 24 hours post-infection （P<0.001， P<0.05）. However， they showed significantly attenuated lung histopathological injury， reduced alveolar wall thickening， markedly decreased neutrophil infiltration， and an approximately 50% improvement in survival rate （P<0.05）. ConclusionIn acute Staphylococcus aureus USA300-R inhalational pneumonia， IL-17A contributes to bacterial clearance by recruiting neutrophils； however， excessive neutrophil infiltration exacerbates pulmonary inflammation and injury， reduces survival rates， and represents a potential therapeutic target.

Since the founding of the People’s Republic of China, remarkable achievements have been gained in infectious disease prevention and control, and rich practical experiences have been accumulated. If these experiences are shared with developing countries, it will greatly contribute to global infectious disease control and global health security. Under the framework of Forum on China-Africa Cooperation, a series of China-Africa public health capacity training programs have been recently held in China, in order to help improve the capability of infectious disease control in African countries. This article summarized and refined good design concepts and practices from these programs, so as to provide insights into sustainable optimization of China-Africa public health capacity training and improvements of the training effectiveness.

Objective : To identify autophagy-related genes involved in pulmonary infection caused by the highly drug-resistant and virulent methicillin-resistant Staphylococcus aureus strain USA300 ( USA300) ，and to explore the underlying molecular mechanisms ， thereby providing potential targets for immunotherapy． Methods: The GSE220943 dataset of a USA300-induced pulmonary infection mouse model was obtained from the GEO database． Differentially expressed genes ( DEGs ) were identified using the DESeq2 package． Autophagy-related genes ( ARGs) were retrieved from the MSigDB and Autophagy databases．Weighted gene co-expression network analysis ( WGCNA) was performed to construct gene co-expression modules．Genes overlapping among DEGs，ARGs，and WGCNA modules were identified as autophagy-related DEGs．Gene Ontology ( GO) enrichment analysis was con- ducted using the clusterProfiler R package，while Kyoto Encyclopedia of Genes and Genomes ( KEGG) pathway en- richment analysis was performed via the Metascape platform．Immune cell infiltration was analyzed using the Immu- CellAI-mouse website．A protein - protein interaction ( PPI) network was constructed using the STRING database， and hub genes were identified through topological analysis in Cytoscape． Receiver operating characteristic curve ( ROC) curves were plotted via the website https: / /www．bioinformatics．com．cn． Finally，key gene expression was validated in mouse lung tissues by real-time quantitative reverse transcription PCR ( RT-qPCR) ． Results: A total of 6 135，4 075，3 680，and 2 342 differentially expressed genes ( DEGs) were identified at 12，24，48，and 96 hours post-infection，respectively．By integrating DEGs，autophagy-related genes ( ARGs) ，and WGCNA mod- ules，19 autophagy-related DEGs were identified． GO and KEGG enrichment analyses indicated that these genes were mainly involved in CD4 + T cell activation and regulation，innate immune responses，and autophagosome mem- brane formation．Immune infiltration analysis revealed that innate immune cells such as neutrophils and dendritic cells predominated during the early phase of infection，while γδ T cells and M2 macrophages became more promi- nent in the later stages．PPI network analysis identified 12 hub autophagy-related genes，among which three upreg- ulated key genes ( Eif2ak2，Ikbke，and Nfkbiz) were further confirmed．The area under the ROC curve for all three genes was 1. 000．RT-qPCR validation demonstrated significantly elevated expression of these three genes in lung tissues at 24 hours post-infection ( all P＜0. 05) ． Conclusion Eif2ak2，Ikbke，and Nfkbiz may be involved in the pulmonary infection caused by USA300 by promoting autophagy and hold promise as potential targets for immuno- therapy．

Objective:To construct a classification management model on the basis of Kraljic matrix for electrocardiogram(ECG)monitoring equipment in emergency intensive care unit(ICU),so as to explore its application value in the management for ECG monitoring equipment in emergency ICU.Methods:The classification management model on the basis of index for ECG monitoring equipment in emergency ICU was constructed.According to two classification dimensions included the market supply risk and the self-value,an indicator system of classification management,which aimed at strategic materials with high value and high risk,leverage materials with high value and low risk,bottleneck materials with low value and high risk,and conventional materials with low value and low risk,was constructed.A total of fifty-one ECG monitoring equipment in the emergency ICU of The People's Hospital of Longhua of Shenzhen from January to December 2023 were selected,and they were managed respectively by conventional management mode(25 sets)and classification management mode(26 sets)according to different management modes.The standardization level of operation management for equipment,the occurrence of safety risk and the level of management for equipment of the two management modes were compared,and the satisfaction of 30 relative personnel,who used and managed these equipment,for classification management of equipment also were compared.Results:The average values of the percentage of standardization level of normality of equipment operation,disinfection and sterilization,maintenance and fault repair of using classification management mode were respectively(91.58±4.33)%,(92.1±3.28)%,(91.49±3.54)%and(92.58±3.32)%,all of which were higher than those of conventional management mode,and the differences were statistically significant(t=12.537,15.706,14.196,18.946,P<0.05),repsectively.The average incidences of the risk of pressure injury,electrical injury and body fluid extravasation of adopting classification management mode were respectively(2.54±0.87)%,(3.02±0.82)%and(1.29±0.65)%,all of which were lower than those of adopting conventional management mode,and the differences were statistically significant(t=22.825,17.453,24.424,P<0.05),respectively.The satisfaction scores of 30 relative management personnel,who used equipment on the process rationality,system standardization and quality effectiveness,of adopting classification management mode were respectively(94.26±3.54),(92.57±4.36)and(91.87±3.69),all of which were higher than those of conventional management mode,and the differences were statistically significant(t=14.052,13.991,13.551,P<0.05),respectively.The reasonable placement rate,recording rate of standardization,and intact rate of equipment in the 26 equipment by adopting classification management mode were respectively 92.31%,92.31%and 88.46%,all of which were significantly higher than those by adopting conventional management mode,and the differences were statistical significant(x2=12.052,10.398,11.338,P<0.05).Conclusion:The classification management model of ECG monitoring equipment in emergency ICU can increase the management efficiency for the equipment in operating room of hospital,and improve the operation quality of equipment,and enhance the safety of equipment in clinical use,and the standardization of operation management for equipment.

Objective:To evaluate the effect of an obstetric artificial intelligence (AI) assistant combined with a family-centered health education model on maternal self-care ability, comfort status, and spousal caregiving ability.Methods:This prospective, single-center, parallel randomized controlled trial used 1∶1 randomization and was conducted as a superiority trial. Postpartum mothers and their spouses admitted to family-style single rooms at the Third Affiliated Hospital of Guangzhou Medical University between October 2024 and April 2025 were enrolled and randomly assigned to control or intervention groups using a random number table. The control group received conventional health education, while the intervention group received conventional health education plus the AI-assisted family-centered model. Interventions were administered at 2 hours, 6 hours, and 24 hours postpartum, and before discharge. Outcomes included maternal self-care ability, comfort status, and spousal caregiving ability, which were assessed at 2 hours postpartum and before discharge. Data were analyzed using independent and paired t-tests and Chi square tests. Results:Of the 88 mother-spouse dyads initially recruited, four were excluded due to mother-infant separation (e.g., neonatal jaundice), leaving 84 dyads (42 per group). After the intervention, the intervention group showed significantly higher maternal self-care ability scores [(192.81±13.80) vs. (181.00±21.41) scores, t=3.00], higher maternal comfort scores [(104.43±7.52) vs. (96.00±14.29) scores, t=3.38], and better spousal caregiving ability [(6.07±3.13) vs. (9.50±5.02) scores, t=－3.76] compared to the control group (all P<0.05). Conclusion:The obstetric AI assistant combined with a family-centered health education model significantly improved maternal self-care ability and comfort status, as well as spousal caregiving ability.

Objective To examine the effect of piceatannol on inflammatory response in hepatitis B virus(HBV)infected rats by regulating Notch signaling pathway.Methods Wistar rats were randomly assigned to control group,model group,low dose piceatannol group,high dose piceatannol group,high dose piceatannol+Jagged1 group to receive injection of HBV antigen solution via tail vein to induce HBV infection model.After intervention with piceatannol and Notch signal activator Jagged1,HBV infection and liver function of rats in each group were tested.ELISA was applied to measure the levels of inflammatory biomarkers in serum and liver tissue.Immunoblotting was applied to detect the expression of Notch signaling pathway related proteins[Notch1,Delta-like ligand 4(DLL4),hairy and enhancer of split 1(Hes1)]in the liver tissues.Results Compared with the control group,the aspartate aminotransferase(AST)and alanine aminotransferase(ALT)levels,iNOS and TNF-α levels,Notch1,DLL4,and Hes1 protein expression increased(P＜0.05),IL-10 level decreased(P＜0.05)in model group.AST and ALT,iNOS and TNF-α levels,liver tissue Notch1,DLL4,and Hes1 protein expression decreased,hepatitis B surface antigen(HBsAg)and hepatitis B e antigen(HBeAg)seroconversion rate,IL-10 levels increased(P＜0.05)in the low and high dose piceatannol groups compared with the model group(P＜0.05).High dose piceatannol was associated with stronger beneficial effect on various pathological indicators in HBV infected rats.Jagged1 could reduce the beneficial effect of piceatannol on various pathological indicators in HBV infected rats.Conclusions Piceatannol can reduce the production of proinflammatory factors and increase the production of anti-inflammatory factors by blocking Notch signal transduction,thereby inhibiting inflammation,alleviating liver injury,and improving liver function in HBV-infected rats.

Objective To explore the diagnostic value of MR in acute abdomen in pregnancy(AAP).Methods A total of 38 cases of acute abdominal pain pregnant patients who underwent pelvic MRI examinations were selected.The diagnoses made during surgery or at discharge were taken as the final diagnostic results.The MR imaging manifestations of various diseases were analyzed.Results The coincidence rate of MR diagnosis in 38 pregnant women with acute abdominal pain was 92.1%(35/38).Among them,19 cases were torsion of ovarian tumor pedicle,and 17 cases were correctly diagnosed by MR.The manifestations were adnexal tumors with spiral pedicle structures,the wall of the tumor near the pedicle were locally thickened,and there were exudative lesions around the tumor.There were 9 cases of hysteromyoma with degenerative hemorrhage,which showed mixed signal nodules or masses in the myometrium on the side of abdominal pain,and the boundaries were clear.Hemorrhagic focus with high signal intensity were found on T1WI.There were 7 cases of placental abruption,and 6 cases were correctly diagnosed by MR.The new mixed signal mass protruding from one side of the placenta into the uterine cavity.T2WI showed equal or slightly high signal,T1WI showed equal signal,diffusion weighted imaging(DWI)showed high signal,apparent diffusion coefficient(ADC)showed low signal,and the lesion were located under the placenta and tilted near the placenta edge.There were 3 cases of appendicitis with surrounding abscess formation.MR manifesta-tions included structural disorder of the right lower abdomen and turbid fat space,with peripheral exudative lesions visible.Round or irregular cystic masses could be seen,in which T2WI showed slightly high signal and T1WI showed equal signal,DWI showed high signal,and ADC showed low signal.In 2 cases,a slightly high T2WI signal focus was found in the curved blind tube with a diameter of＞6 mm.Conclusion MRI has differential diagnostic value for AAP,which can provide accurate diagnostic basis for clinic.

Objective To explore the effects of combined exposure to bisphenol A (BPA) and high-fat diet on liver lipid metabolism and hepatocyte senescence in mice, and to elucidate the potential mechanisms of the onset and development of non-alcoholic fatty liver disease (NAFLD). Methods Specific pathogen free C57BL/6J mice were randomly divided into six groups, with 10 mice with equal numbers of each sex in each group. The mice in the control group and the simple BPA group were fed with regular diet, while others four groups of mice were fed with high-fat diet. At the same time, the mice in the simple BPA group were intragastric administered with BPA at a dose of 50 μg/kg body weight, while the mice in the low-, medium- and high-dose BPA+high-fat groups were intragastric administered with BPA at doses of 5, 50 and 500 μg/kg body weight respectively. The mice in the control group and the high-fat group were intragastric administered with the same volume of corn oil once per day for 90 consecutive days. Liver tissues were subjected to hematoxylin-eosin (HE) and Oil Red O staining. Liver coefficients and lipid-stained area ratios were calculated. Serum level of total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, and the activities of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were determined using an automatic biochemical analyzer. The hepatic tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-10 levels were quantified by enzyme-linked immunosorbent assay. The relative expression of cholesterol regulatory element binding protein 1 (SREBP1), CCAAT enhancer binding protein α, P16, and phosphorylated histone H2AX (γ-H2AX) in liver tissues was detected using Western blotting. The interaction effect of the combined exposure to BPA and high-fat diet was observed based on the result of mice in the control group, the simple high-fat group, the simple BPA group, and the medium-dose BPA group+high-fat group (the combined exposure group) using a 2×2 factorial design. The results of mice in the simple high-fat group and the low-, medium-, and high-dose BPA+high-fat groups were used to observe the effect of BPA exposure dose under high-fat diet conditions. Results i) The interactive effect of combined exposure to BPA and high fat. The HE and Oil Red O staining results indicated that the combined exposure to BPA and high-fat diet successfully established NAFLD in mice. The interactive effect of combined exposure to BPA and high-fat diet on serum ALT activity and the relative expression of P16 in the liver tissue of female mice, as well as the serum ALT and AST activities and the relative expression of SREBP1 in the liver tissue of male mice was significant (all P<0.05). Specifically, the serum ALT activity of male mice in the combined exposure group was higher than that in the simple high-fat group (P<0.05), while the ALT activity in the serum of female mice in the combined exposure group was lower than that in the simple BPA group (P<0.05). The relative expression of SREBP1 protein in the liver tissue of male mice in the combined exposure group was higher than that in the control group, the simple high-fat group, and the simple BPA group (all P<0.05). For the other indicators, there were no significant differences in the interactive effect of combined exposure to BPA and high-fat diet (all P>0.05). ii) Dose effects of BPA exposure. The HE and Oil Red O staining result showed that the degree of vacuolar steatosis in the liver of female and male mice of medium- and high-dose BPA + high-fat groups was aggravated, and the range of inflammatory cell infiltration was expanded when compared with same-sex mice in the simple high-fat group. The serum ALT activity and the fat stained area ratio, as well as the relative expression of P16 in liver tissue of female mice in high-dose BPA + high-fat group increased (all P<0.05), while the level of IL-10 in liver tissue decreased (P<0.05), compared with the female mice in simple high-fat group. The serum ALT activity, the TNF-α level in liver tissue, and the relative expression of SREBP1, P16 and γ-H2AX proteins in liver tissue of male mice in high-dose BPA + high-fat group increased (all P<0.05), while the IL-6 level in liver tissue decreased (P<0.05), compared with the male mice in simple high-fat group. For the female or male mice in the low- and medium-dose BPA + high-fat groups, only some of the above indicators showed significant changes (all P<0.05). Conclusion The combined exposure to BPA and high-fat diet has a synergistic effect on the onset and development of NAFLD. The mechanism may be related to inducing cellular senescence and modulation of lipid synthesis pathways, thereby affecting liver steatosis. The exposure dose of BPA may affect the synergistic effect.

Objective: To evaluate the therapeutic potential and underlying mechanisms of action of propolis in db/db mice. Methods: The chemical composition of propolis was analyzed using UHPLC-MS/MS. Thirty mice, including six wt/wt and 24 db/db mice, were randomly assigned to four groups (n = 6 per group): control, model, metformin (250 mg/kg), low dose propolis (100 mg/kg), and high dose propolis (HDP; 400 mg/kg). Treatments were administered orally for four weeks. Body weight and FBG levels were recorded weekly, and an oral glucose tolerance test was conducted on the 25th day. Serum levels of FIN, GSP, connecting peptide, AST, ALT, HDL, LDL, TG, and TC were quantified using ELISA. Liver histopathology was assessed using H&E and PAS staining. Western blotting was performed to examine the expression levels of NF-κB, phosphorylated NF-κB, IκBα, pIκBα, and AKT in liver tissues. Results: The top 10 metabolites of propolis were identified in positive and negative ion modes. The HDP group exhibited a significant reduction in FBG levels, body weight, connecting peptide levels, homeostatic model assessment of β-cell function scores, and homeostasis model assessment of insulin resistance scores (all P < .05). GSP levels were significantly reduced in both treatment groups (all P < .001). The HDP group also exhibited a reduction in TC and LDL levels (both P < .05), whereas HDL levels increased in both treatment groups (all P < .05). Liver weight, AST levels, and ALT levels were reduced in both treatment groups (all P < .05). Histological analysis revealed improved liver morphology. Protein analysis demonstrated downregulation of phosphorylated NF-κB and phosphorylated IκB, alongside upregulation of AKT. Conclusion Propolis exhibited significant antihyperglycemic effects in db/db mice, potentially by modulating the AKT and NF-κB signaling pathways, highlighting its potential as a therapeutic agent for diabetes management.