OBJECTIVE To investigate the potential mechanism of Sanqi danshen tablets in the treatment of non-alcoholic fatty liver disease （NAFLD）. METHODS Core targets of Sanqi danshen tablets in the treatment of NAFLD were explored by network pharmacological methods. Gene ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were also performed. Based on the results obtained from network pharmacological studies， using SD rats as subjects， the NAFLD model was induced by feeding them high-fat diet. The effects of Sanqi danshen tablets on pathological changes such as lipid droplet vacuoles and lipid accumulation in the liver tissue of NAFLD rats， as well as its impact on relative indicators of lipid metabolism， inflammatory responses and oxidative stress， were investigated. RESULTS A total of 20 core targets for the treatment of NAFLD with Sanqi danshen tablets were screened， primarily involved in GO functions such as biological regulation， cellular membrane and binding， and enriched in signaling pathways related to inflammatory responses， oxidative stress and lipid metabolism. Compared with the model group， lipid droplet vacuoles were reduced significantly in low-dose， medium-dose， high-dose groups of Sanqi danshen tablets and positive control （simvastatin） group， the number of lipid droplets decreased significantly and the color became lighter. The contents of total cholesterol， triglyceride （except for medium- dose group of Sanqi danshen tablets）， aspartate transaminase， alanine transaminase， tumor necrosis factor-α （except for low-dose group of Sanqi danshen tablets）， interleukin-17 （except for Sanqi danshen tablets groups） and malondialdehyde （except for low- dose group of Sanqi danshen tablets） in liver tissue were significantly decreased， while the content of superoxide dismutase was significantly increased （P＜0.01 or P＜0.05）. CONCLUSIONS Sanqi danshen tablets exert anti-inflammatory， antioxidant and lipid metabolism regulating effects by influencing the levels of inflammation， oxidative stress and lipids metabolism-related indicators， thereby improving NAFLD in rats.

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

Aim To investigate the effect of ellagic acid (EA) on cognitive function in APP/PS 1 double- transgenic mice, and to explore the regulatory mechanism of ellagic acid on the level of oxidative stress in the hippocampus of double-transgenic mice based on the phosphatidylinositol 3-kinase/protein kinase B/glycogen synthase kinase-3 (PI3K/AKT/GSK-3 β) signaling pathway. Methods Thirty-two SPF-grade 6-month-old APP/PS 1 double transgenic mice were randomly divided into four groups, namely, APP/PS 1 group, APP/PS1 + EA group, APP/PS1 + LY294002 group, APP/PS 1 + EA + LY294002 group, with eight mice in each group, and eight SPF-grade C57BL/6J wild type mice ( Wild type) were selected as the blank control group. The APP/PS 1 + EA group was given 50 mg · kg

italic>Anoectochilus roxburghii liquid (spray, a hospital preparation of Wu Mengchao Hepatobiliary Hospital of Fujian Medical University) has shown a good clinical treatment effect during the COVID-19 pandemic, but its material basis and mechanism of action are still unclear. In this study, network pharmacology and molecular docking methods were used to predict the molecular mechanism of A. roxburghii liquid against COVID-19, and pharmacodynamic experiments in vitro were conducted to study the interaction between the current targets with clear preventive and therapeutic effects and the key components of A. roxburghii liquid. UPLC-MS and database were used to compare and analyze the active ingredients in the liquid, and 17 potential active ingredients with good drug-like properties were screened by in vivo pharmacokinetics process in SwissADME database. SwissTargetPrediction and GeneCards were searched to find 93 common targets. Cytoscape 3.8.2 software was used to construct the "component-target" network map, and the Metascape platform was used for gene function annotation and pathway enrichment analysis. It was found that the extract could regulate the positive response to external stimuli, inflammatory response, cytokine production and other biological processes by binding the active ingredients such as isorhamnetin, kaempferol, luteolin, quercetin and apigenin to the common targets (NOS3, MPO, MMP3, etc.), and play an anti-COVID-19 role. In the angiotensin-converting enzyme 2 (ACE2) activity inhibition assay, it was found that the stock solution of A. roxburghii liquid (for spray), and the supernatant after removing polysaccharides (mainly containing flavonoids) could to some extent inhibit the activity of ACE2. Crucially, in the experiment of 2019-nCOV-S pseudovirus infecting HEK-293T-ACE2 cells, we found that A. roxburghii liquid may exert anti-COVID-19 effects by blocking the binding of SARS-CoV-S protein to ACE2.

Objective To explore the possible effects and the underlying molecular mechanisms of xueshuantong[The main active component is panax notoginseng(PNS)]on the cognitive function and neural excitability of mice with Alzheimer's disease(AD).Methods The APP/PS1 mice were used as an animal model for AD research,at the stage when amyloid protein was not detected in mice(2 months of age).Mice in the xueshuantong group(APP/PS1+PNS)were administered by gavage once a day at a dose of 60 mg/kg for six months(for 8 months of age).The mice of the control group were given 0.9%sodium chloride(APP/PS1+Vehicle)intragastric treatment of the same volume,while the wild-type mice of the same age were given 0.9%sodium chloride intragastric treatment as the normal control group(WT+Vehicle)(15 mice in each group,n=15).After six months,the cognitive function of the mice was evaluated by the Novel Object Recognition(NOR)task and Morris Water Maze(MWM)test.The activity of BACE1,the distribution and expression of Nav1.1α,as well as the expression and enzymatic hydrolysis of Navβ2(Navβ2 full-length and Navβ2-CTF fragments)in cortex and hippocampus were detected by EEG,Western blot and cell surface biotinylation assay,respectively.Results The NOR task showed that compared with the mice in the APP/PS1+Vehicle group,the Discrimination index(DI)of mice in the APP/PS1 group was significantly increased after xueshuantong administration(P<0.05).The MWM test found that,the escape latency of the mice in the xueshuantong group was shortened followed six months in gastric administration(P<0.05),while the stay time in the target quadrant and the number of platforms significantly increased(P<0.05)after the removal of the platform.The results of EEG recording showed that xueshuantong reduced the frequency of spike-wave discharges in APP/PS1 mice(P<0.05).Furthermore,xueshuantong significantly reduced the expression of BACE1(P<0.05).In the APP+PNS group,the expression of Navβ2 full-length was increased(P<0.05),as well as corrected the abnormal distribution of Nav1.1α inside and outside of neurons(P<0.05).Conclusion Treatment with xueshuantong can significantly improve the learning and memory ability and correct the abnormal excitability of the brain in AD model mice.The mechanism may be related to the inhibition of BACE1 activity,the reduction of APP/PS1-induced excessive enzyme digestion of Navβ2,the correction of the abnormal expression and distribution of Nav1.1α in cortical and hippocampal neurons,as well as the subsequent regulation of neuronal excitability.

Sorting out and analyzing the current research status of cost management and driver theory in domes-tic public hospitals,exploring new models of cost management in public hospitals,constructing a cost driver library for public hospitals,classifying various types of costs according to different driving factors,and adopting different cost management strategies for costs at different driver levels.To clarify the logical path between cost types,cost drivers,and cost strategies,and based on this,form a logical relationship model for cost management in public hos-pitals based on cost driver theory.Through the practical application of the hospital case,the feasibility and effective-ness have been verified.

Objective:To understand the incidence trend of meningococcal meningitis from 1990 to 2023 and major pathogenic serogroups of Neisseria ( N.) meningitidis from 2006 to 2023 in China and the time trend of the incidence of meningococcal meningitis caused by main pathogenic serogroups, and provide reference for the prevention and control of meningococcal meningitis. Methods:The study used the data from "National Epidemic Data Compile" from 1990 to 2003 and the data from China Notifiable Infectious Disease Reporting System from 2004 to 2023 to analyze the incidence trend of meningococcal meningitis in China from 1990 to 2023 by Joinpoint regression method. Based on the data of the national meningococcal meningitis surveillance information reporting and management system from 2006 to 2023, the incidence of meningococcal meningitis caused by different serogroups of N. meningitidis was described and analyzed, and the trend χ2 test was performed to analyze the change of the incidence of meningococcal meningitis caused by N. meningitidis A, B, and C. Results:The overall incidence of meningococcal meningitis in China showed a downward trend from 1990 to 2023 [average annual percent change (AAPC)=-14.80%, P<0.001], with the most obvious decline from 2005 to 2012 [annual percent change (APC)=-31.01%, P<0.001]. The incidence of meningococcal meningitis decreased in both men and women (AAPC=-14.69% and -15.05%, both P<0.001). A total of 1 178 serogroup specific cases of meningococcal meningitis were reported in China from 2006 to 2023, the proportion of serogroup C was highest (32.5%), followed by unclassified (22.3%), B (20.1%), A (18.4%), W (4.5%), Y (2.0%) and X (0.2%). The results of trend χ2 test indicated that the incidence of meningococcal meningitis caused by N. meningitidis A and C showed downward trends (both P<0.001) and the incidence of meningococcal meningitis caused by N. meningitidis B showed an upward trend in general population and young children (0-4 years old group) from 2006 to 2023 (both P<0.05). Conclusion:The incidence of meningococcal meningitis showed a downward trend in China from 1990 to 2023, but it is still necessary to pay more attention to the incidence of meningococcal meningitis caused by N. meningitidis B in age group aged 0-4 years and by multi serogroups at same time in general population.

Sorting out and analyzing the current research status of cost management and driver theory in domes-tic public hospitals,exploring new models of cost management in public hospitals,constructing a cost driver library for public hospitals,classifying various types of costs according to different driving factors,and adopting different cost management strategies for costs at different driver levels.To clarify the logical path between cost types,cost drivers,and cost strategies,and based on this,form a logical relationship model for cost management in public hos-pitals based on cost driver theory.Through the practical application of the hospital case,the feasibility and effective-ness have been verified.

Objective To develop an automatic urine volume detection and collection device to solve the problems of routine urine test.Methods An automatic urine volume detection and collection device was developed with the components of a main control system,a detection system,a prompting system and a grasping and moving system.The main control system consisted of two STM32 microcontrollers and a reset switch;the detection system was made up of a weighing module,an infrared module and indicator lights,which had its urine volume automatic detection algorithm developed based on the Keil5 platform;the prompting system realized voice broadcasting through the voice module fixed on the back panel of the box;the grasping and moving system was composed of a rail drive motor(86CM stepper motor),a photoelectric switch and a motorized gripper.Results The device developed tested urine samples with an accuracy of 99.44％,and could collect qualified samples automatically and quickly.Conclusion The device developed detects urine volume and collects samples automatically,and enhances the accuracy and efficiency of urine examination.[Chinese Medical Equipment Journal,2024,45(4):66-69]

Objective To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography(CBCT)images,and to compare and analyze the estimation re-sults.Methods A total of 498 Shanghai Han adolescents and children CBCT images of the oral and maxillofacial regions were collected.The pulp and tooth volumes of the left maxillary central incisor and cuspid were measured and calculated.Three machine learning algorithms(K-nearest neighbor,ridge regression,and decision tree)and stepwise regression were used to establish four age estimation models.The coefficient of determination,mean error,root mean square error,mean square error and mean ab-solute error were computed and compared.A correlation heatmap was drawn to visualize and the monotonic relationship between parameters was visually analyzed.Results The K-nearest neighbor model(R2=0.779)and the ridge regression model(R2=0.729)outperformed stepwise regression(R2=0.617),while the decision tree model(R2=0.494)showed poor fitting.The correlation heatmap demon-strated a monotonically negative correlation between age and the parameters including pulp volume,the ratio of pulp volume to hard tissue volume,and the ratio of pulp volume to tooth volume.Con-clusion Pulp volume and pulp volume proportion are closely related to age.The application of CBCT-based machine learning methods can provide more accurate age estimation results,which lays a founda-tion for further CBCT-based deep learning dental age estimation research.