OBJECTIVE To investigate the improvement effects and mechanism of astragaloside Ⅳ （AS- Ⅳ ） on lipopolysaccharide （LPS）-induced neuroinflammation. METHODS BV2 cells were divided into control group， LPS group， AS-Ⅳ groups at concentrations of 20 and 40 μmol/L， and dexamethasone group （2 μmol/L）. Except for control group， neuroinflammation model was established with LPS （1 μg/mL） in other groups after medication. The levels of inflammatory factors [interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and nitric oxide （NO）] in cell supernatant were measured in each group. Mice were randomly divided into normal group， model group， positive control group （Aspirin enteric-coated tablet， 20 mg/kg）， AS-Ⅳ low- and high-dose groups （10， 20 mg/kg）， with 6 mice in each group. Mice in each group were administered the corresponding drug/normal saline via gavage/intraperitoneal injection， once a day， for 14 consecutive days. Except for normal group， other groups were intraperitoneally injected with LPS （250 μg/kg） 1 hour after daily administration of the drug/normal saline to establish neuroinflammation model. Serum levels of IL-6 and TNF-α were measured 2 h after the last medication； histopathological morphology of cerebral tissue in mice were observed； the co-localization of inducible nitric oxide synthase （iNOS）/ionized calcium binding adapter molecule 1 （Iba1） and CD206/Iba1 in the cerebral cortex region of mice was observed； the expressions of proteins related to the nuclear factor-κB （NF-κB）/mitogen-activated protein kinase （MAPK） signaling pathway in brain tissue of mice were also determined， including NF-κB p65， phosphorylated NF-κB p65（p-NF-κB p65）， p38 MAPK， phosphorylated p38 MAPK （p-p38 MAPK）， extracellular signal-regulated kinase （ERK）， and phosphorylated ERK （p-ERK）. RESULTS In the cell experiments， compared with control group， the levels of IL-6， TNF- α and NO in the cell supernatant of the LPS group were increased significantly （P＜0.05）； compared with LPS group， the levels of IL-6， TNF-α and NO were decreased significantly in the administration groups （P＜0.05）. In the animal experiments， compared with the normal group， the serum levels of IL-6 and TNF- α， the number of iNOS/Iba1 co-localization positive cells in the cerebral cortex， and the phosphorylation levels of p38 MAPK， NF- κB p65 and ERK proteins in brain tissue were all significantly increased/elevated in model group （P＜0.05）； the number of CD206/ Iba1 co-localization positive cells in the cerebral cortex region significantly decreased （P＜0.05）. The neurons in the cerebral cortex and the CA3 region of the hippocampus displayed a disordered arrangement. Compared with model group， above quantitative indexes of mice were all reversed significantly in administration groups （P＜0.05）； the neuronal cells in the cerebral cortex and the CA3 region of the hippocampus exhibited a relatively orderly arrangement. CONCLUSIONS AS-Ⅳ may inhibit the activation of the NF-κB/MAPK signaling pathway， promote the M2-type polarization of microglia， and thereby suppress neuroinflammatory responses.

Objective To explore the effects and mechanism of calycosin-7-glucoside(CG)on lipopolysaccharide(LPS)-induced inflammatory injury in BV-2 cells and in a mouse model of neuroinflammation.Methods An in vitro neuroinflammation model was induced by LPS stimulation of BV-2 cells.BV-2 cells were divided into blank(CON),model(LPS),dexamethasone(DEX),and low-and high-dose CG(CG 10 μmol/L,CG 20 μmol/L,respectively)groups.The cell viability in each group was detected by Cell Counting Kit-8 assay,interleukin(IL)-6 and tumor necrosis factor(TNF)-α levels in the supernatant were detected by enzyme-linked immunosorbent assay(ELISA),and nitric oxide levels were detected using the Griess method.LPS was also used to induce neuroinflammation in mice in vivo.The mice were then divided randomly into blank(CON),model(LPS),aspirin,and low-and high-dose CG(CG 5 mg/kg,CG 10 mg/kg,respectively)groups.Pathological changes in the hippocampus were detected by hematoxylin/eosin staining.Serum levels of IL-6 and TNF-α were detected by ELISA,polarization of microglia was detected by immunofluorescence staining,and protein expression levels of Toll-like receptor 4(TLR4),myeloid differentiation primary response 88(MyD88),nuclear factor κB(NF-κB,P65)and phosphorylated-NF-κB(p-P65)in the cortex were detected by Western blot.Results CG alone or in combination with LPS in the concentration range of 2.5～160 μmol/L had no significant toxicity in BV-2 cells in vitro,compared with the CON group(P＞0.05).IL-6,TNF-α,and NO levels in the cell supernatant were increased in the LPS group compared with the CON group(P＜0.01),but were significantly reduced by CG(P＜0.05,P＜0.01).Hippocampal neurons were arranged loosely and disordered in the LPS group in vivo,compared with the CON group,and nuclear pyknosis was observed.Serum levels of IL-6 and TNF-α were increased(P＜0.05,P＜0.01).The number of ionized calcium binding adaptor molecule 1(Iba1)/inducible nitric oxide synthase(iNOS)cells was increased(P＜0.01),the number of CD206/Iba1 cells was decreased(P＜0.01),and expression levels of TLR4,MyD88,and p-P65 protein in the cortex were increased(P＜0.05).Compared with the LPS group,CG improved the pathological damage to the hippocampus and inhibited serum levels of IL-6 and TNF-α(P＜0.01).CG also decreased the number of iNOS/Iba1 cells,increased the number of CD206/Iba1 cells(P＜0.05,P＜0.01),and significantly down-regulated TLR4,MyD88,and p-P65 protein levels in the cortex(P＜0.05).Conclusions CG can ameliorate neuroinflammation in mice by suppressing the TLR4/MyD88/NF-κB pathway.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

This study was aimed at analyzing the biotypes and genetic diversity characteristics of five non-major Brucella species,to provide a scientific basis for understanding the species diversity of Brucella and strengthening pathogen monitoring and control.According to the biotypes(species,hosts,isolation locations,and time)and MLVA-16 genotypes(MLVA-16 lo-cus data,MLVA-11 genotypes)of five non-major pathogenic Brucella in the international MLVA database,we used Bionu-merics 8.0 software and PHYLOVIZ2.0 online software to analyze the geographical origin and genetic diversity characteristics of strains.A total of 227 strains were studied,including 121 Brucella ceti,47 B.pinnipedialis,37 Brucella ovis,11 B.mi-croti,and Brucella neotomae.The greatest host diversity was observed for B.ceti,followed by B.pinnipedialis and B.mi-croti.B.ceti was distributed in European and South American countries;B.pinnipedialiswas distributed in Europe;and B.microti.was distributed in the Czech Republic,Austria,and Hungary in Central Europe.B.ovis was widely distributed in Af-rica,Argentina,Australia,Brazil,Greece,the United States,Spain,and France.The MLVA-11 genotypes of different types of Brucella showed high polymorphism and large differences,thus suggesting that the strains have different geographical ori-gins.MST analysis indicated that the studied strains were divided into four branches(BCⅠ-Ⅳ),among which B.ceti was di-vided into two different branches(BC-Ⅰ and BC-Ⅱ),the strains of other types formed different branches(or sub-branches),and the strains of different types showed clear regional and dominant host characteristics.Genetic correlation analysis of strains of the Brucella genus revealed that non-major pathogenic Brucella had clear genetic,distribution,and host spectrum differ-ences with respect to four classical pathogenic Brucella species.Five non-major pathogenic Brucella strains presented unique genetic evolutionary patterns,geographical distributions,and host tropism characteristics,thereby providing new insight for understanding the biological and genetic diversity of those Brucella strains.

Objective Focusing on the problems of unbalanced nursing education resources and insufficient training,it discusses the path of nursing echelon training and nursing education resources optimization in secondary hospitals.Methods Based on nursing questionnaire,interview data and platform logs from 4 secondary hospitals in Hainan Province,Latent Dirichlet Allocation topic modeling,sentiment analysis and Social Network Analysis were used.Identify the core problems of educational resources and training system and propose optimization schemes.Results Topic modeling revealed that insufficient educational resources and information silos were major obstacles to shared platform development.Similarity analysis result showed high consistency in feedback regarding disconnected training content and single training models.Sentiment analysis result indicated that 50％of negative feedback focused on inadequate evaluation and incentive mechanisms.Social Network Analysis validated the significant role of multi-node collaboration in optimizing resource flows.Conclusion Building shared platforms,implementing differentiated training systems,and developing localized nursing faculty are critical pathways to achieving homogenized nursing education,providing valuable references for optimizing regional nursing education.

Genistein is a naturally occurring compound widely found in leguminous plants and is the primary active ingredient in traditional Chinese medicinal herbs such as Astragalus,Puer-aria lobata(Kudzu),Fagopyrum esculentum(Buckwheat),and Rhodiola.Modern pharmacological research indicates that genistein possesses a variety of biological activities,including anti-inflammatory,antioxidant,antitumor,lipid-lowering,an-tidiabetic,anti-ultraviolet,and neuroprotective effects.There-fore,by summarizing and generalizing the pharmacological ac-tions and mechanisms of genistein,it is hoped to provide a basis for its clinical application and drug development.

Objective:To investigate the impact of the number of cesarean deliveries on adverse maternal and neonatal outcomes.Methods:A retrospective analysis was conducted on 11 904 singleton pregnant women who underwent cesarean delivery at the Third Affiliated Hospital of Guangzhou Medical University from January 1st, 2019 to December 31st, 2023. The women were grouped according to the number of cesarean deliveries: those undergoing their first cesarean delivery (1CD group, 7 231 cases), those undergoing their second cesarean delivery (2CD group, 3 749 cases), those undergoing their third cesarean delivery (3CD group, 841 cases), and those undergoing their fourth or more cesarean deliveries (4CD group, 83 cases). Differences in clinical characteristics, related surgical procedures, and adverse maternal and neonatal outcomes among the groups were compared. Binary logistic regression analysis was used to assess the impact of the number of cesarean deliveries on related surgical procedures and adverse maternal and neonatal outcomes.Results:(1) During the 5-year period, the total number of women undergoing cesarean delivery in our hospital showed a slight downward trend, while the proportion of women undergoing three or more cesarean deliveries increased. (2) Compared with women undergoing their first cesarean delivery, women in each repeat cesarean delivery group were older, had higher proportions of advanced maternal age and pre-pregnancy body mass index, and had more pregnancies, deliveries, and induced abortions; the incidence of placenta previa, placental implantation, antepartum hemorrhage, gestational hyperglycemia, and failed trial of labor requiring conversion to surgery was higher, while the incidence of premature rupture of membranes was lower; the proportions of ureteral stent placement, adhesiolysis of the pelvic and abdominal cavities, uterine rupture, uterine reconstruction, uterine artery ligation, hysterectomy, postpartum hemorrhage, and postoperative intestinal obstruction were higher, and the amount of postpartum hemorrhage was greater; the gestational age at delivery of neonates was earlier, but the rates of preterm birth at 28-31 +6 and 32-33 +6 weeks of gestation were lower; the differences were statistically significant ( P<0.05) for all comparisons. (3) The number of cesarean deliveries was not an independent risk factor for the dose-dependent occurrence of placenta previa (a OR=0.99, 95% CI: 0.98-1.01; P=0.261). In women without placenta previa, the number of cesarean deliveries was not a risk factor for placental implantation (a OR=1.12, 95% CI: 0.90-1.39; P=0.320). However, in women with placenta previa, the number of cesarean deliveries was a risk factor for placental implantation (a OR=4.01, 95% CI: 3.08-5.22; P<0.001). In the overall population, the number of cesarean deliveries was a risk factor for ureteral stent placement, adhesiolysis of the pelvic and abdominal cavities, bladder rupture repair, uterine rupture, uterine reconstruction, uterine artery ligation, hysterectomy, postpartum hemorrhage, and preterm birth (all P<0.05). However, the number of cesarean deliveries was not a risk factor for postoperative intestinal obstruction, admission to the intensive care unit, neonatal asphyxia, admission to the neonatal intensive care unit, or neonatal death (all P<0.05). Conclusions:The number of cesarean deliveries could lead to adverse maternal and neonatal outcomes, but the relationship is not simply dose-dependent. It is speculated that the occurrence of severe adverse maternal and neonatal outcomes is more closely related to maternal complications and comorbidities, as well as whether multidisciplinary comprehensive management was received.

Endometriosis is a common estrogen-dependent disease in women of childbearing age,often leading to chronic pelvic pain,infertility,ovarian cancer,and other serious complications,and jeopardizing the health of women.The pathogenesis of endometriosis is complex and involves the alteration of multiple signaling pathways mediated by hormones,immunity,genetics,and the environment,and their interactions.Wnt/β-catenin signaling is involved in the regulation of embryonic development and tissue homeostasis,and it has recently been implicated in the pathogenesis of endometriosis via multiple pathways.This review considers the biological characteristics of the Wnt/β-catenin signaling pathway and summarizes the main mechanisms and signaling pathways involved in the pathogenesis of endometriosis,as well as the curr-ent research status of the regulation of this signaling pathway by traditional Chinese medicine for the treatment of endometriosis.We aim to clarify how the Wnt/β-catenin signaling pathway affects the development of endometriosis,and suggest that future studies should focus on exploring its potential role as an indicator for the clinical prediction and early diagnosis of endometriosis,thus providing theoretical support for the early diagnosis of this condition and the development of targeted drugs.

Objective:To comprehensively analyze the current situation of the policy tools for primary healthcare medication continuity and security in China,and to provide advice for improving the policy system of primary healthcare medication continuity and security.Methods:Based on the theory of policy tools,a two-dimensional analysis framework of"policy tools-policy goals"was constructed.Results:A total of 407 policy text codes were generated from 58 policy texts included in the analysis.Among them,the supply-based policy tools were the most(41.03%),followed by environmental(37.59%)and demand-based(21.38%);the policy goals mainly focused on promoting the equipment and linkage of medication(21.84%),optimizing the types of medication(18.88%),and improving the centralized supply and distribution of medication(18.25%).Conclusions:Significant regional disparities exist in the design and implementation of China's primary healthcare medication continuity and security policies.Certain policy tools are absent,policy objectives lack comprehensive coverage,and coordination remains inadequate.It is suggested to optimize regional policy layouts through differentiated configuration and cross-regional coordination,enhance policy adaptability by refining policy tool combinations,strengthen weak segments and vertical coordination,promote the articulation of primary healthcare medication based on tight medical consortium,and finally build a systematic and dynamically adaptive primary healthcare medication continuity and security policy system.