OBJECTIVE To analyze the current status and trend in the application of artificial intelligence in pharmaceutical service in China and globally. METHODS The research literature on the application of artificial intelligence technology in the field of hospital pharmaceutical service from database establishment to June 16， 2023， was searched in Web of Science and CNKI. The authors， countries/regions， institutions and the co-occurrence， clustering， and emergence of keywords were visually processed and analyzed using tools including Endnote， CiteSpace， and Python. RESULTS & CONCLUSIONS Overall， 1 190 global literature and 178 Chinese literature were included. The number of publications issued in China and globally is increasing year by year， yet a gap remains in the quantity and quality of Chinese research compared with global research. Europe and the United States have built a close cooperation network in this field， while China’s regional development in this field remains imbalanced. Global research hotspots mainly focus on the development and application of high-end technologies such as machine learning， natural language processing, and deep learning； Chinese research concentrates more on actual medical services and medical policies， especially in promoting rational drug use， prescription review， and the development of traditional Chinese medicine.

Aim To research the neuroprotective effect of Haikun Shenxi (HKSX) medicated serum on N2a/ App695 cells and the underlying mechanism. Methods HKSX medicated serum was prepared and carbohydrate components in it was analyzed using high performance thin layer chromatography (HPTLC) . N2a/ App695 cells were intervened with HKSX medicated serum, the cytotoxicity of HKSX medicated serum was measured by MTT; AP[_

Objective:To discuss the research status and hotspots of Kaixin Powder.Methods:Literature about Kaixin Powder was retrieved from CNKI, Wanfang Data, VIP, CBM, PubMed and Web of Science databases from the establishment of the databases to January 10, 2023. CiteSpace 6.2.R2 and VOSviewer 1.6.16 software were used to visualize and analyze data on the types of literature included, source journals, publication volume, authors, institutions, keywords, etc.Results:Totally 235 articles were included, mainly Chinese journal article. There were 87 source journals involved, among the Chinese and English journals, China Journal of Chinese Materia Medica and J Ethnopharmacol published the most articles. The overall annual number of articles published in the Kaixin Powder showed an upward trend. It involved 505 authors, forming research teams with Liu Ping, Jiang Yanyan and others as the core; The authors of the included literature came from 99 research institutions, and the cooperation between institutions was mainly based on units with the same or similar geographical area, TCM universities and their affiliated hospitals. The data results of keyword co-occurrence clustering network, keyword co-occurrence time network and keyword emergence analysis showed that the composition of the main active components (ginsenosides, poria acid, fine octyl ethers, ketones and oligosaccharide esters), detection methods (high performance liquid chromatography and liquid chromatography-mass chromatography), pharmacological effects (anti-Alzheimer's disease, antidepressant), mechanism of action and clinical application of the combination were the current research hotspots and trends in development. Conclusion:The research of Kaixin Powder mostly focuses on the mechanism of action and clinical research of Alzheimer's disease, depression and other diseases, among which the research on the main active components in Kaixin Powder is a hot topic in recent years, while the development trend of pharmacological mechanism of action and clinical application is better, and the correlation between active components and efficacy may become a new hot direction in the research of Kaixin Powder.

BACKGROUND:Inflammation is one of the important factors that induce cerebral ischemia-reperfusion injury.Studies have shown that electroacupuncture can effectively reduce inflammation after ischemic stroke and improve the symptoms of neurological deficits,but the mechanism is not clear. OBJECTIVE:To observe the effect of electroacupuncture on Toll-like receptor 4/nuclear factor-κB in rats with cerebral ischemia-reperfusion injury. METHODS:Forty-eight male Sprague-Dawley rats were randomly divided into sham operation group,model group and electroacupuncture group,with 16 rats in each group.The rat model of cerebral ischemia-reperfusion injury was prepared by middle cerebral artery occlusion.At 24 hours after modeling,the rats in the electroacupuncture group were treated with electroacupuncture,once a day,20 minutes each time,for a total of 5 days.The sham operation group and the model group did not do any intervention.After 5 days of intervention,Longa method was used to evaluate the degree of neurological injury in rats.Triphenyl tetrazolium chloride staining and hematoxylin-eosin staining were used to measure the volume of cerebral infarction and the pathological changes of brain tissue in rats.Serum interleukin-6,interleukin-18 and tumor necrosis factor-α were detected by ELISA.Expressions of Toll-like receptor 4 and nuclear factor-κB in the cerebral cortex at mRNA and protein levels were detected by fluorescence quantitative PCR and western blot,respectively. RESULTS AND CONCLUSION:Compared with the sham operation group,the neurological function scores,serum interleukin-6,interleukin-18,and tumor necrosis factor-α levels,Toll-like receptor 4 and nuclear factor-κB mRNA and protein expression levels were significantly higher in the model group(P＜0.01).Compared with the model group,electroacupuncture significantly reduced the neurological function scores,serum interleukin-6,interleukin-18,and tumor necrosis factor-α levels,Toll-like receptor 4 and nuclear factor-κB mRNA and protein expression levels(P＜0.05,P＜0.01).Compared with the sham operation group,the volume of cerebral infarction in the model group increased significantly(P＜0.01).Compared with the model group,the volume of cerebral infarction in the electroacupuncture group decreased(P＜0.05).In the model group,the arrangement of neurons was disordered,some nerve cells disappeared,nuclei presented with pyknosis and incomplete structure.After electroacupuncture intervention,the degree of neuronal degeneration and neuronal loss in the cerebral cortex of rats were reduced compared with those in the model group.To conclude,electroacupuncture can significantly improve the neurobehavior of rats with cerebral ischemia-reperfusion injury,reduce brain tissue injury,and effectively reduce the level of serum inflammatory factors.The mechanism may be related to the inhibition of Toll-like receptor 4/nuclear factor-κB signaling pathway.

Inflammasome is a kind of intracellular polyprotein complex,which is an important component of the complex system of local inflammatory microenvironment after human tissue damage.When the inflammasome is activated,it induces the activation of cysteine aspartate proteinase 1(caspase-1),mediates the maturation and secretion of proinflammatory cytokines,such as interleukin(IL)-1 β and IL-18,and induces cell death,which plays an important role in regulating the host immune response to pathogen infection and tissue repair of cell damage.Nod-like receptor protein 3(NLRP3)inflammatory body,which is composed of NLRP3,pro-cysteine aspartic acid specific protease-1(pro-caspase-1)and apoptosis-related spot-like protein(ASC),is the most deeply and widely studied type of inflammatory body,which plays an important role in the regulation of inflammation.When NLRP3 inflammatory bodies are activated,inflammatory mediators are produced and released,which participate in the occurrence and development of a variety of inflammatory diseases.Some studies have shown that traditional Chinese medicine can improve the pathological state of a variety of diseases by inhibiting NLRP3 inflammatory bodies,and play a role in the prevention and treatment of a variety of inflammatory diseases,including cardiovascular diseases,joint inflammation,diabetes and so on.This paper systematically combs the mechanism of NLRP3 inflammatory bodies,and summarizes the latest research reports on the effects of traditional Chinese medicine compound prescription,traditional Chinese medicine monomers and traditional Chinese medicine extracts on NLRP3 inflammatory bodies in the treatment of inflammatory diseases,in order to provide new ideas for the further study of the pathogenesis and drug treatment of many inflammatory diseases.

Objective:To explore high-risk sexual behaviors of HIV/AIDS and related factors in young students in Guangzhou.Methods:A cross-sectional survey was conducted in 5 different types of Guangzhou colleges by convenience sampling with minimum number of classes per grade and 600 samples per school from September to November 2021. The R 4.2.2 software was used to consolidate databases. Simultaneously, a logistic regression model and a decision tree algorithm model, stratifying by whether sexual behaviors had occurred before, were constructed. In each layer, the prediction performance of the two models was evaluated through area under receiver operating characteristic and the confusion matrix, and then the model with high prediction performance was retained.Results:A total of 7 346 students were surveyed. The proportion of the respondents reporting sexual experience were 9.08% (667/7 346), in whom 26.24% (175/667) had risky sexual activity in the past year. The decision tree algorithm model performs well in predicting whether high-risk sexual behaviors have occurred in the past year. When the complexity parameter value is 0.018, and nsplit reaches 4, which means there are 5 leaf nodes in the model, the cross error of the tree will be the smallest. The first best grouping variable in the decision tree was whether to use condoms throughout the first sexual behavior. If condoms were used at their sexual debut, but homosexual practices have occurred in the past year, the probability of risky sexual behavior will increase. If homosexual practices have not occurred in the past year, but the age of sexual debut was below 18 years old while the period of HIV education was after high school, the probability of risk sexual behavior will also increase.Conclusions:AIDS-related risky behaviors of young students still deserved attention. The experience of sexual debut and whether AIDS-related health education has been received before the sexual debut were significant predictors for the occurrence of high-risk sexual behavior. The decision tree algorithm model has particular applicability for predicting and screening potential risk populations.

Objective:To retrospectively analyze and study the clinical characteristics, imaging manifestations, laboratory tests, electroencephalography (EEG) results, immunotherapy efficacy, and prognosis of 48 patients with autoimmune encephalitis (AE) in the Hengyang area.Methods:Clinical data of 48 AE patients admitted to the First Affiliated Hospital, the Second Affiliated Hospital, and the Affiliated Nanhua Hospital, University of South China from January 2020 to April 2024 were collected. Retrospective analysis was conducted on age, gender, prodromal symptoms, initial symptoms, main clinical manifestations, cranial magnetic resonance imaging (MRI), electroencephalogram, cerebrospinal fluid routine biochemistry, serum and cerebrospinal fluid antibody detection results, and immunotherapy efficacy.Results:Among the 48 patients, there were 24 males and 24 females, with a median age of onset of 50 years. In terms of clinical manifestations, abnormal mental behavior is the most common initial symptom, accounting for 37.5%(18/48); The next was epileptic seizures, accounting for 35.4%(17/48); 16.7%(8/48) of patients experienced cognitive impairment; Rare initial symptoms included movement disorders, blurred vision, and loss of consciousness. In terms of neuroimaging, 47.9%(23/48) of patients had abnormal signals on cranial MRI, including 47.8%(11/23) of abnormal signals in the temporal lobe or hippocampus, 39.1%(9/23) in the frontal and parietal regions, 17.4%(4/23) in the occipital region, 13.0%(3/23) in the basal ganglia, and 8.7%(2/23) in the thalamus. In terms of EEG, 33.3%(16/48) of patients showed varying degrees of EEG abnormalities, manifested as diffuse slow waves, focal slow waves, epileptic like discharges, or increased fast waves. In terms of laboratory testing, 60.4%(29/48) of patients had routine biochemical abnormalities in cerebrospinal fluid, including elevated white blood cell count (>10×10 6 cells/L) in 33.3%(16/48), elevated protein (>0.45 g/L) in 37.5%(18/48), and elevated IgG in 33.3%(16/48). In terms of antibody testing, 27 cases were positive for antibodies, including 17 cases of N-methyl-D-aspartate receptor (NMDAR) antibody, 3 cases of anti-contactin associated protein 2 (CASPR2) antibody, 3 cases of anti-metabotropic glutamate receptors 5 (mGluR5) antibody, 2 cases of anti-dipeptidyl-peptidase-like protein (DPPX) antibody, 1 case of anti-GlyR antibody, and 1 case of anti-GAD65 antibody. In terms of treatment, 33 patients received immunotherapy on the basis of symptomatic treatment, and 13 of them showed improvement in clinical symptoms. Conclusions:The clinical manifestations of AE patients are highly heterogeneous, with typical initial clinical manifestations including mental abnormalities, epileptic seizures, cognitive and motor disorders. Neuroimaging changes are mainly in the temporal lobe or hippocampus, and antibody detection can timely confirm the diagnosis of AE. Early immunotherapy is the key to improving the prognosis of AE.

Objective To investigate the relationship between coronary artery plaque AI quantitative parameter and FFR-CT in coronary computed tomography angiography.Methods A total of 84 patients suspected of having CAD[52 males and 32 females,aged 27 to 81 years with a mean age of(58.1±11.9)years]were enrolled in this study.All patients underwent coronary computed tomography angiography.The CCTA data was processed using shukun(SK)software for labeling and analysis of the coronary arteries,as well as obtaining quantitative parameters of coronary artery plaque AI and corresponding FFR-CT values.The quantitative parameters included plaque length,total volume,minimum lumen area(MLA),minimal lumen degree(MLD),lipid composition volume and proportion,fibrous-lipid composition volume and proportion,fibrous composition volume and proportion,calcified composition volume and proportion.Coronary artery hemodynamic abnormality or myocardial ischemia was defined as an FFR-CT value≤0.8.Correlational analysis was performed to evaluate the association between AI plaque quantitative param-eters and FFR-CT values.Univariate and multivariate binary logistic regression analyses were conducted to identify independent risk factors for predicting FFR-CT≤0.8.The predictive performance of the model based on AI plaque quantitative parameters was assessed using receiver operating characteristic(ROC)curve analysis and calculation of the area under the curve(AUC).Sensitivities,specificities,diagnostic test accuracy rates were also calculated.Results The predominant symptoms observed in the cohort of 84 patients were chest pain(n=39,46.4%)and distress(n=27,32.1%).Spearman analysis results revealed a weak positive correlation between FFR-CT and MLA(r=0.49,P<0.0001),while weak negative correlations were found for plaque length,total volume,lipid composition volume,fibrous-lipid composition volume,fibrous composition volume,and calcified composition volume(r=-0.44,-0.56,-0.40,-0.36,-0.42,-0.40;all P<0.05).Additionally,MLD exhibited a moderate negative correlation with FFR-CT(r=-0.60,P<0.0001).In the univariate binary logistic regression analysis,several variables including plaque length,total volume,MLA,MLD,lipid composition volume,fibrous-lipid composition volume,fibrous composition volume,and calcified composition volume were found to be independently associated with FFR-CT≤0.8(All P<0.05).The adjusted multivariate binary logistic regression analysis model revealed that MLD was the sole independent predictor(OR=1.082,95%CI:1.034～1.133,P=0.001).The logistics re-gression model expression was logit(P)=0.079X1-4.052,where X1 represents the value of MLD and achieved a predictive accuracy of 85.2%.The ROC AUC of plaque length,total volume,MLA,MLD,lipid composition vol-ume,fibrous-lipid composition volume,fibrous composition volume and calcified composition volume were 0.796,0.886,0.711,0.754 and 0.698 respectively,and the coresponding sensitivities and specificities were 47.83%,73.91%,73.90%,52.17%,60.87%and 92.11%,73.68%,60.53%,84.21%,89.47%.The five in-dexes combined diagnostic model possessed the largest AUC of 0.906,and 73.91%,71.05%of sensitivity and specificity.Conclusion The AI quantitative parameters of coronary artery plaque exhibited varying degrees of correlation with FFR-CT,while MLD emerged as the sole independent predictor of FFR-CT≤0.8,demonstrating high diagnostic efficiency.

The analysis of nano-micro nuclear particles has attracted significant attention due to the crucial role of their elemental and isotopic characteristics in tracing the origins of particulate matter and assessing its potential risks to human health and the environment.However,challenges persist in obtaining accurate and consistent element profiles and ratios for small-sized nanoparticles due to their low level and the transient nature.In this study,a high-speed digital oscilloscope was integrated with multiple collector inductively coupled plasma mass spectrometry(MC-ICP-MS)to develop a high time-resolution"Event-triggered signal capture"(ETSC)system for single particle analysis.This innovative approach enabled the analysis of element/isotope within rare earth nanoparticles at ag-fg level.The ETSC accurately recorded the complete profile of single particle,event captured by the electron multiplier with nanosecond time resolution,allowing for high-sensitivity element analysis and high-precision isotope analysis of single particles.The results demonstrated that the ETSC system could achieve quantitative analysis of ag levels of ytterbium(Yb)in 50-nm rare earth-doped particles,with a detection limit as low as 38 ag for Yb.Moreover,the isotopic precision of single particle analysis for 173/171Yb could reach 0.047(standard deviation),and the standard error for isotopic analysis of multiple particles could achieve a level of 2‰-3‰(permil)for 173/171Yb.Finally,the capability of ETSC system to analyze environmental samples was demonstrated through the analysis of doped ytterbium oxide nanoparticles.All these findings demonstrated that the ETSC provided a unique method for elemental and isotopic analysis of single nuclear particles.

Objective To conduct a survey on students for their common needs for the course and the support to their research training,to provide reference for course reform and curriculum of ideology and politics.Methods A survey before and after course was conducted in 704 graduates who selected the course of"Experiments of Molecu-lar Biology"from the autumn of 2018 to the spring of 2024.After collecting the survey,they were summarized,counted,and analyzed.Results The students selected this course were mainly research-oriented graduate students.Their professional background was mainly in clinical medicine,and there was a relatively lack of training in tech-nology and laboratory skill in molecular biology experiment.The follow-up survey showed that experimental operation and implementation as well as analysis of experimental results were the two most helpful aspects for students;PCR,RNA extraction and detection,and Western blot were the most useful techniques for student learning and scientific research.Conclusions Through the survey,the professional background of students,dynamic changes in their course selection needs are well acknowledged and so thus able to optimize,provide good reference for teaching and learning in this field,and provide a basis for curriculum reform and construction of ideological and political courses.