Objective:To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus(DM),to construct a Bayesian network model to explore the network relationships among the influencing factors,and to predict the risk of angina pectoris in the patients with DM.Methods:Based on the UK Biobank(UKB)database,the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM.The taboo search algorithm was used for structure learning,and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results:A total of 22 712 DM patients were included.The influencing factors of angina pectoris in the patients with DM included 14 variables:gender,age,body mass index(BMI),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HbA1c),hypertension,maternal smoking around delivery,smoking status,alcohol consumption,regular exercise,insomnia,sleep duration,and childhood relative body size(P<0.05).A Bayesian network model was constructed with 15 nodes and 22 directed edges.Among them,age,HbA1c,hypertension,regular exercise,BMI,and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM,while gender,smoking status,alcohol consumption,TC,TG,insomnia,childhood relative body size,and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM.Conclusion:Age,HbA1c,hypertension,regular exercise,BMI,and sleep duration are direct influencing factors of angina pectoris in the patients with DM.Controlling HbA1c,blood pressure,and BMI levels,engaging in regular exercise,and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patients with DM.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Objective To conduct a bibliometric analysis of domestic and international literature on the research of Sijunzi Decoction over the past 20 years,and to explore the research status,hotspots,and development trends of Sijunzi Decoction.Methods This article retrieved journal articles related to the research of Sijunzi Decoction from 2004 to 2024 in the CNKI,Wanfang,VIP,and Web of Science databases.Microsoft Excel was used for publication volume analysis,while CiteSpace software was employed for keyword co-occurrence,clustering,and burst analysis,and then the analysis results were visualized.Results After literature retrieval and screening,3 573 Chinese articles and 113 English articles were included.Over the past two decades,the publication volume showed a trend of steadily increasing.The most frequent keywords in Chinese and English literature on the research of Sijunzi Decoction were spleen deficiency syndrome and gene expression,while the keywords with strongest burst were experimental research and data mining.Conclusion The research of Sijunzi Decoction in the last 20 years was mainly through animal experiments and clinical applications,and the research hotspots focus on the treatment of diseases of spleen deficiency syndrome and on the improvement of immune function of cancer patients.The extraction and identification of active components in Sijunzi Decoction and the study on the therapeutic mechanism in diseases of spleen deficiency syndrome are probably the future research trends.

ObjectiveTo analyze the antidepressant quality markers（Q-Marker） of Bupleuri Radix（BP） before and after vinegar-processing by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， multivariate statistical analysis and network pharmacology. MethodUPLC-Q-TOF-MS was used to analyze the chemical basis of raw and vinegar-processed products of BP， and principal component analysis（PCA） orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to identify the differential components in BP that changed significantly before and after vinegar-processing， which were regarded as candidate quality markers（Q-Marker）. Then the disease-drug-component-target network related to antidepressant effect of BP was constructed by network pharmacology， and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined. Rats were randomly divided into blank group， model group， fluoxetine group（2.67 mg·kg^-1） and total saponin group（0.72 mg·kg^-1）， except the blank group， rats in the other groups were subjected to chronic unpredictable mild stress（CUMS）. Three weeks after the start of modeling， rats in each administration group were given the corresponding dose of drugs once a day for 4 weeks， and rats in the blank and model groups were given normal saline with dose of 10 mL·kg^-1. At 1 day before modeling， 21 days and 28 days after administration， body mass weighing， sucrose preference test and open field test were performed on each group . After 28 days of administration， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was used to detect the mRNA expression levels of phosphatidylinositol 3-kinase（PI3K）， protein kinase B（Akt）， mammalian target of rapamycin（mTOR）， glycogen synthase kinase-3β（GSK-3β）， forkhead box transcription factor O3a（FoxO3a） and β-catenin in hippocampal tissues of rats in each group， while protein expression levels of PI3K， Akt， mTOR and FoxO3a in hippocampal tissues of rats in each group were detected by Western blot. ResultThere were 19 components in BP showed significant changes before and after vinegar-processing， and 9 components such as saikosaponin A， saikosaponin B₁， saikosaponin B₂， saikosaponin C and saikosaponin D were identified as potential Q-Marker through S-plot differential marker screening. Combined with the disease-drug-component-target network， saikosaponin A， saikosaponin B₁， saikosaponin B₂ and saikosaponin D were identified as antidepressant Q-Marker of raw and vinegar-processed products of BP. According to the results of pharmacodynamic tests， after 28 d of administration， compared with the blank group， the body mass， sucrose preference index and open field total score of rats in model group， fluoxetine group and total saponin group decreased significantly（P<0.01）. Compared with the model group， the body mass， sucrose preference index and open field total score in total saponin group increased significantly（P<0.01）. Compared with the blank group， mRNA expression levels of PI3K， Akt， mTOR and β-catenin in hippocampus of rats in the model group decreased significantly（P<0.05）， while mRNA expression levels of GSK-3β and FoxO3a increased significantly（P<0.05）. Compared with the model group， mRNA expression levels of PI3K， Akt， mTOR and β-catenin in hippocampus of rats in the total saponin group were increased significantly（P<0.05）， while mRNA expression levels of GSK-3β and FoxO3a decreased significantly（P<0.05）. Compared with the blank group， the protein expression levels of Akt and mTOR in hippocampus of the model group decreased significantly（P<0.01）， while the protein expression levels of PI3K and FoxO3a increased significantly（P<0.01）. Compared with the model group， the expression level of Akt in hippocampus of the total saponin group increased significantly（P<0.01）， the mTOR expression level was increased but not statistically significant， while the protein expression levels of PI3K and FoxO3a decreased significantly（P<0.01）. ConclusionThe chemical constituents of BP changed greatly after vinegar-processing， and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined by chemical basis， pharmacodynamics， network pharmacology and signaling pathway， which provided a reference for further research on quality control， pharmacodynamic substance basis and processing mechanism of BP.

Objective:To investigate the diagnosis of dual-energy X-ray absorptiometry(DXA)for osteoporosis(OP)of postmenopausal patients with rheumatoid arthritis(RA)in Qinghai region and the risk factors of them.Methods:A total of 200 postmenopausal female RA patients who admitted to Qinghai Hospital of Traditional Chinese Medicine from May 2022 to April 2023 were selected.All patients were tested for bone mineral density(BMD)after admission,and lumbar spines L1-L4,whole lumbar,large trochanter,Ward's triangle area,whole body and whole forearm were measured by DXA.According to the results of BMD test,patients whose BMD T values of all body parts-2.5 SD were less or equal to-2.5 were included in the OP group(121 cases),and patients whose BMD T value of all body parts were larger than-2.5 SD were included in the non-OP group(79 cases).The BMD T value of different body parts between two groups of RA patients were compared and analyzed.The area under curve(AUC)of receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficiency of BMD T value for OP.The logistic regression method was adopted to analyze the risk factors that postmenopausal RA patients of Qinghai region occurred OP.Results:The BMD T values of L1,L2,L3,L4,whole lumbar,large trochanter,Ward's triangular area,whole body and whole forearm of OP group were obviously lower than those of the non-OP group.In analysis of ROC curve,the sensitivities of BMD T values of L1,L2,L3,L4,whole lumbar,large trochanter,Ward's triangle area,whole body and forearm were respectively 96.20%,95.22%,90.16%,96.03%,92.01%,89.36%,99.26%,90.02% and 96.03% in diagnosing OP,and the specificities of them were respectively 81.00%,82.19%,85.22%,83.06%,83.06%,90.22%,80.06%,86.23%,83.09%,and the AUC values of them were respectively 0.908,0.905,0.896,0.906,0.903,0.879,0.918,0.901 and 0.906.The results of the logistic-regression analysis showed that advanced age,long disease course,rheumatic activity scores of 28 joints,erythrocyte sedimentation rate and Calcium supplementation were the risk factors of occurring OP in postmenopausal RA patients in Qinghai region.Conclusion:The DXA method that detects BMD of RA patients who occur OP can be used as gold standard to assess OP,and there are many risk factors that affect the occurrence of OP in postmenopausal RA patients of Qinghai region.The clinical work should combine with relative factors to formulate reasonable measure so as to reduce the incidence of OP.

OBJECTIVE To investigate the preventive effect of cucurbitacin B （CB） on sepsis-induced acute lung injury （ALI） and its mechanism. METHODS The mice were divided into control group， model group， dexamethasone group （positive control， 2 mg/kg）， CB low-dose and high-dose groups （25， 50 mg/kg）. Each group was given relevant medicine intraperitoneally， once a day， for 3 consecutive days. Twenty-four hours after the last administration， those groups were given lipopolysaccharide （10 mg/kg） intraperitoneally to establish sepsis-induced ALI model （finally， 8 mice per group were included in the experiment）， except for control group. Twenty-four hours after medication， blood routine indicators （total white blood cell count， neutrophils count， lymphocytes count）， lung function indicators （total lung resistance， pulmonary outflow resistance， lung dynamic compliance， peak expiratory flow rate， and maximum ventilation volume）， dry wet ratio of lung tissue were measured in each group. The lung tissue level of myeloperoxidase （MPO）， and the serum levels of tumor necrosis factor-α （TNF-α）， interleukin 1β （IL-1β）， IL-6， superoxide dismutase （SOD） and malondialdehyde （MDA） were all detected. The pathological changes of lung tissue were observed； immunohistochemistry was used to detect the positive expression of phosphorylation signal transducer and activator of transcription 3 （p-STAT3） in the lung tissue. Western blot assay was used to detect the expressions of proteins related to IL-6/JAK2/ STAT3 signaling pathway in the lung tissue. RESULTS Compared with control group， total pulmonary resistance， pulmonary flow resistance， dry wet ratio of lung tissue， the total white blood cell count， neutrophils count， lymphocytes count of whole blood， the lung tissue level of MPO and serum levels of MDA， IL-6， IL-1β and TNF-α， the p-STAT3 protein optical density value， the protein expressions of IL-6 and IL-6 receptor， and the phosphorylation levels of JAK2 and STAT3 protein were increased significantly in the model group （P＜0.01）， while lung dynamic compliance， peak expiratory flow rate， maximum ventilation volume and serum level of SOD were decreased significantly （P＜0.05 or P＜0.01）. Pulmonary tissue showed alveolar collapse and infiltration of inflammatory cells. Compared with the model group， the above indexes of mice were reversed significantly in dexamethasone group and CB groups （P＜0.05 or P＜0.01）， the pathological damage of lung tissue was reduced. CONCLUSIONS CB can prevent sepsis-induced ALI by inhibiting the activity of Δ 基金项目遵义市科技计划项目（No.202252） IL-6/JAK2/STAT3 signaling pathway and relieving ＊第一作者主治医师。研究方向：重症医学。E-mail：fjuanxui@ 163.com inflammatory reactions. # 通信作者 主任医师。研究方向：儿童呼吸系统疾病诊断与治

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.

Objective To investigate the effect of lidocaine on the chemotherapy sensitivity of gastric cancer cells by regulating the Wnt/β-catenin axis. Methods Human gastric cancer cells SGC-7901 in logarithmic growth phase were inoculated into 96-well plates and treated with different concentrations of lidocaine (0, 10, 50, 100, 150, 200 μmol/L) for 24 h. The cell viability at different concentrations was compared. The SGC-7901 cells in logarithmic growth phase were divided into control group, cisplatin group, low concentration lidocaine group (Lido-L group), medium concentration lidocaine group (Lido-M group), high concentration lidocaine group (Lido-H group), high concentration lidocaine + Wnt/β-catenin signal pathway activator SKL2001 group (Lido-H+SKL2001 group). The cell proliferation, invasion, and migration abilities of each group were compared by 5-acetylidene-2'deoxyuracil nucleoside (EdU) cell proliferation detection, Transwell assay, and scratch healing experiment. The apoptosis of each group was detected by TUNEL assay. The expressions of apoptosis, epithelial-mesenchymal transition, and Wnt/β-catenin pathway-related proteins in each group were detected. Results Compared with 0 μmol/L lidocaine, the cell viability of SGC-7901 cells treated with 50, 100, 150, and 200 μmol/L lidocaine was reduced (P < 0.05). Compared with the control group, the EdU positive rate, the number of cell invasion, scratch healing rate, and expressions of vimentin, N-cadherin, B-cell lymphoma-associated protein-2 (Bcl-2), cyclin D1, scattered protein 2 (DVL2), Wnt family member 3a (Wnt3a), β-catenin (β-catenin) were reduced in the cisplatin group, while the cell apoptosis rate was increased, the expressions of E-cadherin, B-cell lymphoma-2-associated X protein (Bax), Cleaved-caspase-3 were increased, and the differences were statistically significant (P < 0.05). Compared with the cisplatin group, the EdU positive rate, the number of cell invasion, scratch healing rate, and expressions of vimentin, N-cadherin, Bcl-2, cyclin Dl, DVL2, Wnt3a, β-catenin were gradually reduced in the Lido-L group, Lido-M group, and Lido-H group, while the cell apoptosis rate, the expressions of E-cadherin, B-cell lymphoma-2-associated X protein (Bax), Cleaved-caspase-3 were increased (P < 0.05). Compared with the Lido-H group, the EdU positive rate, the number of cell invasion, scratch healing rate, and expressions of vimentin, N-cadherin, Bcl-2, cyclin Dl, DVL2, Wnt3a, β-catenin were increased in the Lido-H+SKL2001 group, while the cell apoptosis rate and expressions of E-cadherin, Bax, Cleaved-caspase-3 were reduced, the differences were statistically significant (P < 0.05). Conclusion Lidocaine may enhance the chemotherapy sensitivity of gastric cancer cells by inhibiting the activation of the Wnt/β-catenin axis.

The mesencephalic astrocyte-derived neurotrophic factor (MANF) has been recently identified as a neurotrophic factor, but its role in hepatic fibrosis is unknown. Here, we found that MANF was upregulated in the fibrotic liver tissues of the patients with chronic liver diseases and of mice treated with CCl₄. MANF deficiency in either hepatocytes or hepatic mono-macrophages, particularly in hepatic mono-macrophages, clearly exacerbated hepatic fibrosis. Myeloid-specific MANF knockout increased the population of hepatic Ly6C^high macrophages and promoted HSCs activation. Furthermore, MANF-sufficient macrophages (from WT mice) transfusion ameliorated CCl₄-induced hepatic fibrosis in myeloid cells-specific MANF knockout (MKO) mice. Mechanistically, MANF interacted with S100A8 to competitively block S100A8/A9 heterodimer formation and inhibited S100A8/A9-mediated TLR4-NF-κB signal activation. Pharmacologically, systemic administration of recombinant human MANF significantly alleviated CCl₄-induced hepatic fibrosis in both WT and hepatocytes-specific MANF knockout (HKO) mice. This study reveals a mechanism by which MANF targets S100A8/A9-TLR4 as a "brake" on the upstream of NF-κB pathway, which exerts an impact on macrophage differentiation and shed light on hepatic fibrosis treatment.

BACKGROUND: At the end of 2019, the outbreak of coronavirus disease 2019 (COVID-19) severely damaged and endangered people's lives. The public health emergency management system in China has played an essential role in handling the response to the outbreak, which has been appreciated by the World Health Organization and some countries. Hence, it is necessary to conduct an overall analysis of the development of the health emergency management system in China. This can provide a reference for scholars to aid in understanding the current situation and to reveal new research topics. METHODS: We collected 2247 international articles from the Web of Science database and 959 Chinese articles from the China National Knowledge Infrastructure database. Bibliometric and mapping knowledge domain analysis methods were used in this study for temporal distribution analysis, cooperation network analysis, and co-word network analysis. RESULTS: The first international article in this field was published in 1991, while the first Chinese article was published in 2005. The research institutions producing these studies mainly existed in universities and health organizations. Developed countries and European countries published the most articles overall, while eastern China published the most articles within China. There were 52 burst words for international articles published from 1999-2018 and 18 burst words for Chinese articles published from 2003-2018. International top-ranked articles according to the number of citations appeared in 2005, 2007, 2009, 2014, 2015, and 2016, while the corresponding Chinese articles appeared in 2003, 2004, 2009, and 2011. CONCLUSIONS There are differences in the regional and economic distribution of international and Chinese cooperation networks. International research is often related to timely issues mainly by focusing on emergency preparedness and monitoring of public health events, while China has focused on public health emergencies and their disposition. International research began on terrorism and bioterrorism, followed by disaster planning and emergency preparedness, epidemics, and infectious diseases. China considered severe acute respiratory syndrome as the starting research background and the legal system construction as the research starting point, which was followed by the mechanism, structure, system, and training abroad for public health emergency management.
Betacoronavirus ; China ; epidemiology ; Communicable Disease Control ; organization & administration ; Coronavirus Infections ; epidemiology ; prevention & control ; Disease Outbreaks ; prevention & control ; Humans ; Internationality ; Pandemics ; prevention & control ; Pneumonia, Viral ; epidemiology ; prevention & control