B and T lymphocyte attenuator (BTLA) is an inhibitory immune checkpoint, which typically interacts with herpesvirus entry mediator (HVEM) and plays a crucial role in regulating immune balance. BTLA interacts with its ligand HVEM in a cis manner on the surface of the same immune cell to maintain immune tolerance, while trans interactions on the surface of different immune cells mediate immunosuppressive effects. Dysregulation of the BTLA/HVEM axis can impair the functions of immune cells, particularly T lymphocytes, promoting immune escape of tumor cells and ultimately leading to tumor progression. Researchers have found that BTLA and HVEM are abnormally expressed in various tumors and are associated with prognosis, suggesting that they may be potential targets for tumor immunotherapy. This review summarizes the molecular structures of BTLA and HVEM, immunomodulatory mechanisms, recent advances in hematologic malignancies, potential inhibitors of BTLA/HVEM interaction, and their applications in immunotherapy for hematologic malignancies.
Humans ; Receptors, Tumor Necrosis Factor, Member 14/chemistry* ; Receptors, Immunologic/immunology* ; Hematologic Neoplasms/genetics* ; Immunotherapy/methods* ; Animals

Objective To analyze the medication rule of Traditional Chinese Medicine(TCM)in treating diabetes nephropathy(DN)and to explore the interaction between core components and key targets.Methods Based on the ancient and modern medical case cloud platform,the medication rules of TCMs and the drug pairs with the highest frequency in treating DN were summarized.Then the network pharmacology approach was utilized to analyze the pharmacodynamic material basis and mechanisms of the highest frequency-drug pairs.The potential targets were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)databases.TTD,DISGENET,and GENECARD databases were used to obtain the related targets of DN and screen out the potential targets for DN.In order to clarify the relationships between the active ingredients,the core targets,and pathways,STRING and Cytoscape 3.7.1 software were used to construct the protein-protein interaction(PPI)network and core drugs-ingredients-targets-disease interaction network,DAVID database was screened for Kyoto Encyclopedia of Genes and Gnomes(KEGG)enrichment analysis of core targets.Sybyl 2.1 software and biofilm interference verify the combined capacity between the core ingredients and key targets.Results Among 183 prescriptions,Astragali Radix had the highest use frequency and average dose,43 times and 37 g,respectively,followed by Salviae miltiorrhizae Radix and Poria cocos.To find the core combined with the highest confidence in association analysis was astragalus,salvia miltiorrhiza,and tuckahoe.Correlation analysis indicates that the core combination with the highest confidence was Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos.Network pharmacologic showed 89 potential targets and 15 key signaling pathways for the treatment of DN by the drug pair.TNF signaling pathway,Nod-like receptor signaling pathway,and MAPK signaling pathway were disease-related pathways,and IL-6,TNF,and vascular endothelial growth factor A(VEGFA)were core targets.Isorhamnetin and quercetin of the drug pair had high binding ability with IL6,the scores were 8.2 and 7.4,respectively,and the dissociation constants(KD)were 5.6×10-5 mol·L-1 and 6.8×10-5 mol·L-1,respectively.Conclusion This study preliminarily finds the prescription rule of treating DN with Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos as the core drug pair,isorhamnetin,and quercetin are probably the main active compounds of this drug pair in DN treatment,which provides a basis for clinical treatment and drug discovery of DN.

Bone formation and deposition are initiated by sensory nerve infiltration in adaptive bone remodeling. Here, we focused on the role of Semaphorin 3A (Sema3A), expressed by sensory nerves, in mechanical loads-induced bone formation and nerve withdrawal using orthodontic tooth movement (OTM) model. Firstly, bone formation was activated after the 3rd day of OTM, coinciding with a decrease in sensory nerves and an increase in pain threshold. Sema3A, rather than nerve growth factor (NGF), highly expressed in both trigeminal ganglion and the axons of periodontal ligament following the 3rd day of OTM. Moreover, in vitro mechanical loads upregulated Sema3A in neurons instead of in human periodontal ligament cells (hPDLCs) within 24 hours. Furthermore, exogenous Sema3A restored the suppressed alveolar bone formation and the osteogenic differentiation of hPDLCs induced by mechanical overload. Mechanistically, Sema3A prevented overstretching of F-actin induced by mechanical overload through ROCK2 pathway, maintaining mitochondrial dynamics as mitochondrial fusion. Therefore, Sema3A exhibits dual therapeutic effects in mechanical loads-induced bone formation, both as a pain-sensitive analgesic and a positive regulator for bone formation.
Humans ; Bone Remodeling ; Cell Differentiation ; Osteogenesis ; Semaphorin-3A/pharmacology* ; Trigeminal Ganglion/metabolism*

OBJECTIVE To identify the chemical constituents of the modified Yupingfengsan formula. METHODS UPLC-Q- Exactive Orbitrap-MS technology was adopted. The separation was performed on Waters BEH C18 column with acetonitrile （A）-0.1% formic acid solution （B） as mobile phase for gradient elution. The heating electrospray ionization was used for positive and negative ion mode scanning. The scanning range was m/z 50-1 500， and the spray voltage was 2 kV （positive ion mode） and 1.5 kV （negative ion mode）. The information of chemical constituents of modified Yupingfengsan formula was collected through literature review to establish a database； the structure of the constituent was identified based on the above database， relevant literature， and chromatography and mass spectrometry information of reference standards. RESULTS & CONCLUSIONS Totally 114 chemical constituents were identified from modified Yupingfengsan formula， including 31 flavonoids， 39 phenylpropanoids， 5 saponins， 8 terpenoids， 3 chromones， 3 curcuminoids， etc. Based on the comparison of reference standards， 8 constituents were ultimately determined， including magnoflorine， calycosin， calycosin glycoside， cimifugin， 5-O-methylvisammioside， sec-O- glucosylhamaudol， luteolin and mangiferin. These constituents mainly involved glycosylation cleavage， retro Diels-Alder fragmentation， glycosylation loss， neutral molecule loss and other fragmentation pathways.

Objective:Laboratory evaluation of the relationship between cerebrospinal fluid and plasma indicators and intrathecal immunoglobulin G(IgG) synthesis in patients with neurological diseases, and establishment of a new diagnostic method for intrathecal IgG synthesis.Methods:This study retrospectively analyzed the content of IgG in cerebrospinal fluid samples and blood albumin in blood samples, and other test results of 410 patients with neurological diseases who visited Beijing Tiantan Hospital from 2019 to 2022. According to the results of oligoclonal bands in cerebrospinal fluid, patients were divided into intrathecal IgG synthesis group and non-intrathecal IgG synthesis group. The Mann Whitney U test was used for inter group comparison, and a bilateral test with P<0.05 indicates a statistically significant difference. Include indicators with differences between groups in logistic regression analysis, construct a predictive model, and compare it with the established quantitative formula IgG index. Results:There were significant differences in 10 indicators, including cerebrospinal fluid leukocyte count and 24-hour intrathecal IgG synthesis rate, between the intrathecal IgG synthesis group and the non-intrathecal IgG synthesis group, with P<0.05. The area under the curve (AUC) of intrathecal IgG synthesis was higher than the IgG index (AUC=0.920, 0.809, Z=31.178, P<0.001), the sensitivity was higher than the IgG index (0.825, 0.618), and the specificity was lower than the IgG index (0.876, 0.908). Conclusion:The combination of 10 indicators such as cerebrospinal fluid white blood cell count and 24-hour intrathecal IgG synthesis rate can improve the diagnostic efficacy and sensitivity of intrathecal IgG synthesis.

Objective To investigate the effect of dioscin on uric acid(UA)-induced oxidative stress injury of human renal tubular epithelial cells(HK-2)and its molecular mechanism.Methods HK-2 cells were cultured and divided into four groups:blank group(normal group),model group(uric acid-stimulation modeling),condition control group(UA+DMSO)and dioscin group(UA+dioscin).Oxidative stress injury model was induced by UA in HK-2 cells.Cells viability was detected by CCK-8.ROS level was detected by flow cytometry.Real-time PCR was used to detect the expressions of glycogen synthase kinase 3β(GSK3β),nuclear factor erythroid 2-related factor 2(Nrf2)and heme oxygenase 1(HO-1)at mRNA level,and Western Blot was used to detect the expressions of phosphorylated glycogen synthesis kinase 3β(p-GSK3β),GSK3β,Nrf2 and HO-1 at protein level.Results After stimulation by UA,HK-2 cells viability was obviously decreased,and ROS level was significantly increased(all P＜0.001).When treated with dioscin,HK-2 cells viability was obviously increased,and the ROS level of HK-2 cells was significantly decreased(all P＜0.001).The expressions of Nrf2 and HO-1 decreased at the protein and mRNA levels after stimulation with UA.But the expressions of Nrf2 and HO-1 significantly increased after treated with dioscin(all P＜0.001).Compared with the blank group,the p-GSK3β/GSK3β ratio in the model group decreased significantly at the protein level,but the p-GSK3β/GSK3β ratio increased after treated with dioscin(all P＜0.001).Conclusion Dioscin can alleviate UA-induced oxidative stress injury in HK-2 cells.The mechanism might be that dioscin can promote phosphorylation of GSK3β,and activate Nrf2/HO-1 pathway.

Objective To analyze the characteristics of time in range(TIR)and its relationship with oxidative stress(OS)and insulin resistance status(HOMA-IR)in patients with type 2 diabetes mellitus(T2DM)and sleep apnea-hypopnea syndrome(OSAHS).Methods According to apnea-hypopnea index(AHI),165 T2DM in patients were divided into simple T2DM group(AHI<5 times/h,n=43),T2DM combine OSAHS mild group(OSAHS-G,5≤AHI<15 times/h,n=51),T2DM combined OSAHS moderate group(OSAHS-M,15≤AHI≤30 times/h,n=40)and T2DM combine OSAHS severe group(OSAHS-S,AHI>30 times/h,n=31).TIR was calculated by dynamic blood glucose monitoring.Superoxide dismutase(SOD),glutathione peroxidase(GSH-Px)and other indexes were detected and analyzed.Results Compared with simple T2DM group,the levels of HOMA-IR,8-iso-PGF2a and Ox-LDL were higher in T2DM combined OSAHS-G,OSAHS-M or OSAHS-S group,while the levels of TIR,SOD and GSH-Px were lower(P<0.05).Pearson correlation analysis showed that TIR was positively correlated with the levels of SOD and GSH-Px(P<0.05 or P<0.01),and negatively correlated with the levels of 8-iso-PGF2a,Ox-LDL,HbA1c,HOMA-IR and the severity of OSAHS(P<0.01).Logistic regression analysis showed that TIR,SOD and GSH-Px were protective factors for severe OSAHS in T2DM patients,while 8-iso-PGE2a and Ox-LDL were the risk factors for severe OSAHS.Conclusions The glucose level fluctuates greatly in patients with T2DM and OSAHS.Insulin resistance and oxidative stress are factors that affect the normalization of TIR.

Objective:To construct a classification management model of medical equipment in public hospitals based on association rules algorithm,and to analyze its application effect in hospital equipment management.Methods:Equipment classification management was performed based on Apriori algorithm(association rule analysis)and K-means algorithm(equipment abnormal information mining)in the association rules algorithm,the classification management model of medical equipment in public hospitals was constructed to mine the abnormal characteristics of equipment status.A total of 244 medical devices in clinical use in Beijing Huilongguan Hospital from 2022 to 2023 were selected.According to the application of the classification management model of medical equipment in public hospitals based on the association rule algorithm,the equipment use period from January to December 2022 was set before the application of the association rule algorithm model,and the equipment use period from January to December 2023 was set to the time after the application of the association rule algorithm model.The scores of equipment classification management,the failure rate of different types of equipment and equipment efficiency score before and after the application of association rule algorithm model were compared.Results:After the application of association rule algorithm model,the average scores of warehousing management,use management,maintenance management and scrap management were(89.65±4.65)points,(90.25±4.36)points,(87.69±3.12)points and(90.36±3.39)points,respectively,which were higher than before the application,the difference was statistically significant(t=17.866,14.671,18.128,19.479,P<0.05).After the application of association rule algorithm model,the number of medical image diagnostic and auxiliary equipment,health monitoring equipment,rehabilitation equipment and intervention and treatment equipment that failed was 2,3,2,and 3,and the failure rates were 3.33%,4.69%,2.86%and 6.00%,respectively,which were lower than those before the application,the difference was statistically significant(x2=5.925,6.117,7.937,5.316,P<0.05).After the application of association rule algorithm model,the average scores of overall utilization efficiency,quality stability efficiency and accurate diagnosis and treatment efficiency of the equipment were(96.39±3.69)points,(94.23±3.06)points and(95.47±4.36)points,respectively,which were higher than those before the application,and the difference was statistically significant(t=16.762,17.919,11.769,P<0.05).Conclusion:The application of the classification management model of medical equipment in public hospitals based on association rules algorithm can realize the classification management of medical equipment in hospitals,improve the operating efficiency and management level of equipment,and reduce the equipment failure rate.

Objective:To screen the differentially expressed immune-related genes(DEIRGs)in in-stent restenosis(ISR),and to analyze the immune cell infiltration in ISR,and to clarify the mechanism of occurrence and development of ISR.Methods:The mRNA gene expression data of GSE46560 dataset samples were downloaded from the Gene Expression Omnibus(GEO),and divided into ISR group and non-ISR group.The"Limma"package in R software was used to identify the differentially expressed genes(DEGs)which were then intersected with immune-related genes(IRGs)to identify the DEIRGs in ISR;R software was used for Gene Ontology(GO)functional enrichment andalysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis on DEIRGs;the STRING database was used to construct the protein-protein interaction(PPI)network,which was visualized and analyzed for Hub genes by Cytoscape software;the receiver operating characteristic(ROC)curve of the Hub genes were plotted,and the area under the curve(AUC)was calculated and the diagnostic value was evaluated;CIBERSORT software was used to analyze the immune cell infiltration in ISR;Pearson correlation analysis was used to analyze the relationships between the immune cells and the relationships between the immune cells and key genes.Results:A total of 331 DEGs were identified(P<0.05,|log2FC|>1),including 176 upregulated genes and 155 downregulated genes,and 38 DEIRGs were obstained.The GO functional enrichment analysis results showed that the DEIRGs were mainly enriched in biological processes(BP)such as defense response,immune response,and immune system;in cellular components(CC),the DEIRGs were located primarily in the extracellular region and cytoplasmic membrane;and in molecular functions(MF),the DEIRGs were mainly involved in regulating signaling receptor binding and cytokine receptor activity.The KEGG signaling pathway enrichment analysis results indicated that the DEIRGs in ISR were primarily enriched in the phosphatidylinositol 3-kinase/protein kinase B(PI3K-AKT)and transforming growth factor-β(TGF-β)signaling pathways.In the PPI network,CD19 had the highest node among the top 10 Hub genes.Compared with non-ISR group,the expression level of the CD19 gene in the samples in ISR group was increased(P<0.05).The AUC value in the ROC curve of CD19 gene expression was 0.92(P<0.05).The immune cell infiltration analysis results showed that compared with non-ISR group,the infiltration level of T lymphocyte follicular helper(Tfh)cells in the patients in ISR group were increased(P<0.05),the infiltration levels of immature B lymphocytes,CD8+T lymphocytes,naive CD4+T lymphocytes,and M0 macrophages were increased,but the differences were not statistically significant(P>0.05),while the infiltration levels of memory B lymphocytes,activated memory CD4+T lymphocytes,regulatory T cells,resting natural killer(NK)cells,activated NK cells,monocytes,resting mast cells,and neutrophils were decreased,but the differences were not statistically significant(P>0.05).There were positive correlations between Tfh cells and M0 macrophages and resting mast cells(r=0.88,P<0.05;r=0.68,P<0.05),and there were negative correlations between Tfh cells and monocytes and neutrophils(r=-0.49,P<0.05;r=-0.42,P<0.05).Conclusion:CD19 may influence the occurrence and development of ISR by regulating the activation of the PI3K-AKT signaling pathway to affect the Tfh and B lymphocytes.CD19 can serve as a biomarker for the diagnosis of ISR.