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Objective To investigate the expression of PLCD3 mRNA in the synovium of osteoarthritis(OA)and its relationship with immune cell infiltration.Methods Based on the differentially expressed genes of OA found in the previous study,the expression of phospholipase Cδ3(PLCD3)mRNA was detected by col-lecting synovial samples from OA group and control group.CIBERSORT algorithm was used to analyze the infiltration pattern of immune cells in OA group and control group,and the correlation between PLCD3 and infiltrating immune cells was further analyzed.Results Compared with the control group,the relative expres-sion level of PLCD3 mRNA was significantly increased in synovial samples of OA group(P<0.05).The pro-portions of B cells naive,NK cells activated,M2 macrophages and mast cells activated in synovial tissues of OA group were relatively high(P<0.05).PLCD3 was positively correlated with the proportion of these four immune cells(P<0.05).Conclusion PLCD3 may be a key biomarker for the diagnosis of OA,which may be involved in the pathogenesis of OA by interacting with infiltrating immune cells.
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BACKGROUND:The occurrence and development of osteoarthritis is strongly associated with immune abnormalities,and the importance of various immune cells and immune mediators in the pathogenesis of osteoarthritis has been continuously elucidated. OBJECTIVE:To review the role of immune cells and related cytokines in osteoarthritis disease,and provide new ideas for future research and prevention of osteoarthritis. METHODS:Taking"osteoarthritis,knee,macrophages,T cells,B cells,natural killer cells,dendritic cells,cytokines,inflammatory factors,immune cells"as search terms,relevant published literature was searched on CNKI,WanFang,VIP,PubMed and Web of Science databases.After reading the title and abstract for preliminary screening,98 articles were selected for review after reading the full text again. RESULTS AND CONCLUSION:In the past,it was believed that the pathogenesis of osteoarthritis was associated with cartilage wear.In recent years,studies have suggested that osteoarthritis is a chronic inflammatory state in which immune cells are widely involved.With the in-depth study of the pathogenesis of osteoarthritis,scholars believe that the pathogenesis of osteoarthritis is driven by early innate immune response,which will gradually catalyze degenerative changes and eventually lead to changes in the joint microenvironment.Various immune cells and cytokines are the key factors affecting the repair of osteoarthritis.Macrophages and natural killer cells participate in synovial inflammatory reaction,and T cell immune reaction participates in the degradation of osteoarthritis cartilage and aggravates the condition of osteoarthritis.Interleukin-1β secreted by immune cells,interleukin-6,tumor necrosis factor α,interleukin-17 and interleukin-37 play an important role in the pathophysiology of osteoarthritis,among which interleukin-1β is the most important inflammatory factor causing articular cartilage damage.Assessing immunological risk factors at the early stage of osteoarthritis can effectively treat the disease at an early stage,which can significantly reduce disability,morbidity and costs associated with osteoarthritis.At present,the immunomodulatory effect of stem cells and their derived secretions and biomaterials on the treatment of osteoarthritis has been confirmed in different experimental models,but there is still a lot of research to be done before they are used in clinical practice.With the discovery of new therapeutic targets,targeted treatment will bring new hope for the repair of clinical osteoarthritis.
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BACKGROUND:Oxidative stress is closely associated with the occurrence and progression of intervertebral disc degeneration,but its underlying mechanisms and effective treatment methods remain unclear. OBJECTIVE:To identify key genes associated with intervertebral disc degeneration accompanied by oxidative stress based on bioinformatics and three machine learning algorithms,as well as to conduct an immune infiltration analysis,followed by experimental validation. METHODS:Gene expression profiles related to intervertebral disc degeneration were obtained from the GEO database and oxidative stress-related genes obtained from the GeneCards database.Differential analysis and weighted gene co-expression networks analysis were performed on the intervertebral disc degeneration dataset.The intersection of the two analyses and the intersection with the oxidative stress-related genes were taken to obtain candidate hub genes.Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses on the candidate hub genes were performed.Machine learning algorithms(LASSO regression,SVM-RFE,and random forest)were used to select the optimal feature genes and perform the receiver operator characteristic curve validation.Simultaneously,immune infiltration analysis was conducted.Nucleus pulposus samples from patients with cervical spondylosis who were treated at the Second Hospital of Shanxi Medical University from July to November 2023 were enrolled as the intervertebral disc degeneration group and nucleus pulposus samples from patients with cervical spinal cord injury as the control group.The relative expression of feature genes in the degenerated intervertebral disc was validated using qPCR method. RESULTS AND CONCLUSION:After differential gene analysis,424 differentially expressed genes were obtained.Weighted gene co-expression networks analysis yielded 5 087 genes,and 1 399 oxidative stress genes were identified,leading to the identification of 23 candidate hub genes.Gene ontology analysis revealed that these candidate hub genes are primarily involved in bacterial defense response,molecular response to bacteria,and other biological processes.In terms of cellular component,they are associated with secretion granule lumen and cytoplasmic vesicle lumen,among others.As for molecular function,they are related to endopeptidase activity and compound binding,including sulfur compounds.Kyoto Encyclopedia of Genes and Genomes analysis demonstrated that these candidate hub genes are associated with neutrophil extracellular trap formation and the renin-angiotensin system pathway,among other signaling pathways.By applying three machine learning algorithms and conducting the receiver operator characteristic curve validation,two key genes,HSPA6 and PKD1,were determined.Immune infiltration analysis revealed a strong correlation between HSPA6 and activated dendritic cells(r=0.88,P＜0.001)as well as activated CD4+ T cells(r=-0.72,P＜0.01).Similarly,PKD1 showed close associations with effector memory CD8+ T cells(r=0.55,P＜0.05)and activated dendritic cells(r=-0.56,P＜0.05).qPCR experimental results indicated that the expression level of HSPA6 was lower in the intervertebral disc degeneration group compared with the control group(P＜0.000 1),while the expression level of PKD1 was higher in the intervertebral disc degeneration group(P＜0.000 1).These findings suggest that HSPA6 and PKD1 can serve as biomarkers for intervertebral disc degeneration accompanied by oxidative stress.Interventions targeting HSPA6 and PKD1 may hold promise for improving intervertebral disc degeneration.
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Acute pancreatitis (AP) is one of the common acute abdominal diseases of the digestive system, and its incidence is increasing year by year in China, Europe, and the United States. Although its etiology is diverse, it follows certain pathophysiological processes and the key regulatory molecules are similar. Over the past few years, on the one hand, progress in the research was made on pancreatic acinar and ductal epithelial cells including calcium signaling pathways, impaired autophagy flux, dysfunction of mitochondria and other organelles, and endoplasmic reticulum stress imbalance. On the other hand, important progress was made in early recruitment and excessive activation of immune cells and their roles in regulating pancreatic necrosis and pancreatitis-associated multiple organ failure. All of the above-mentioned research progress has greatly enhanced our understanding of the pathogenesis and intervention strategies of AP. This article will focus on the basic research progress in the pathogenesis of AP in recent years in order to provide clinical guidance for the early treatment of AP.
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Objective @#To use the GEO dataset and bioinformatics techniques , such as LASSO logistic regression , ssGSEA , and WGCNA , to screen for RA diagnostic markers and investigate the impact of earthly flavonoids in Smi lax glabra Roxb . on specific immune cell infiltration , to screen for rheumatoid arthritis (RA) diagnostic markers on specific immune cell infiltration and to analyze the combination of flavonoids in Smilax glabra Roxb . and diagnostic markers . @*Methods @#The normal control group and RA gene chip were obtained from the Gene Expression Omnibus database . The R 4.3.0 WGCNA software package was used to integrate and analyze the dataset , identify co-expression modules and associated trait information , and screen key modules closely related to RA . LASSO regression a nalysis was performed using the glmnet package in R to identify characteristic genes for RA . The area under the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of the characteristic genes in RA . The gene expression data of the normal control group and RA group were subjected to quantitative immune cell infiltration analysis using the GSVA , limma , and GSEABase packages in R. The chemical components of earth worm flavonoids in Smilax glabra Roxb . were analyzed based on UHPLC-Q-Exactive Orbitrap MS . The correlation between flavonoids and characteristic genes was assessed through molecular docking. @*Results @#The LASSO regres sion algorithm selected 5 characteristic genes ( apolipoprotein D , zinc finger and BTB domain containing 16 , C-C chemokine receptor type 5 , matrix metalloproteinase 1 , coronin-1A) . The area under ROC curve of all 5 character istic genes was greater than 0. 85 , which exhibited positive correlations with various immune cells . Twenty earth worm flavonoids of Smilax glabra Roxb . were identified using UHPLC-Q-Exactive/MS , and Mulberrin and Neobavaisoflavone were well combined with 5 immune characteristic genes . @*Conclusion @# Flavonoids compounds of Smilax glabra Roxb . have good combination with RA immune characteristic genes , providing a scientific basis for RA immunomodulation therapy and early diagnosis .
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CD47 is a transmembrane protein widely expressed on cell surface, which is considered as a key molecule for immune escape. With an increasing number of related studies, the role of CD47 and its ligands in immunomodulatory effects has been gradually understood. Recent studies have investigated the role of CD47 in ischemia-reperfusion injury of allogenetic kidney transplantation, rejection and xenotransplantation. Nevertheless, the specific role and the key mechanism remain elusive. In this article, the structure and function of CD47, common CD47 ligands, the relationship between CD47 and kidney transplantation, and the application of CD47 in kidney transplantation were reviewed, the latest research progress of CD47 in kidney transplantation was summarized, and the limitations of current research and subsequent research direction were analyzed, aiming to provide reference for subsequent application of CD47 in allogeneic and kidney xenotransplantation.
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Objective:To explore the expression of long non-coding RNA(lncRNA)ZIM2-AS1 in hepatocellular carcinoma(HCC)and its clinical significance as well as diagnostic value using the data obtained from the Cancer Genome Atlas(TCGA).Meth-ods:The transcriptome sequencing(RNA-seq)data and clinical information of 374 HCC tissues and 50 paired paracancerous tissues were gathered from the TCGA database,then the expression trends of ZIM2-AS1 in HCC and its correlation with clinicopathological features,prognosis,immune cell infiltration,as well as diagnostic value was inspected by bioinformatics analysis using relevant R packages.The expression of ZIM2-AS1 in human normal liver cell line and HCC cell lines was examined by qRT-PCR.Results:The ex-pression of ZIM2-AS1 was highly expressed in HCC tissues(P<0.001),and its expression level was significantly correlated with age,gender,N stage,histologic grade and AFP level(P all<0.05).The overall survival(OS)and disease specific survival(DSS)of patients with high ZIM2-AS1 expression were significantly shorter than those of patients with low expression(P<0.05),and ZIM2-AS1 was an in-dependent risk factor affecting OS.Immune cell infiltration analysis showed that ZIM2-AS1 was closely related to the infiltration of Th2 cells,CD56brightNK cells,follicular helper T cells(Tfh),neutrophils and plasmacytoid dendritic cells(pDC)(|Spearman's r|>0.1,P<0.05)in HCC.ROC curve analysis revealed that the expression level of ZIM2-AS1 possesse potential diagnostic value in HCC,N0 stage,histologic grade G1 and G2,OS and DSS(AUC all>0.50).qRT-PCR results showed that the expression level of ZIM2-AS1 in HCC cell lines was significantly higher than that in human normal liver cells(P all<0.05).Conclusion:The elevated expression of lncRNA ZIM2-AS1 is an independent risk factor for poor prognosis of HCC patient and has potential application value as a biomarker for HCC diagnosis,prognosis as well as tumor immune microenvironment assessment.
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Objective:This article is to investigate NADPH oxidase 4(NOX4)expression,prog-nosis,signaling pathway and key immune cells infiltrating in tumor tissues in gastric cancer.Meth-ods:Data were downloaded from the Cancer Genome Atlas(TCGA)and the Integrated Gene Ex-pression Database(GEO).The expression of NOX4 in gastric cancer and normal tissues,the rela-tionship between NOX4 expression level and clinical characteristics of patients,gene enrichment analysis of signaling pathways and immune infiltration analysis have been analyzed.Results:In terms of NOX4 expression,tumor tissue is significantly higher than normal tissue,which has certain diagnostic value;NOX4 is an important prognostic factor with poor prognosis in patients with high NOX4 expression;NOX4 is associated with cell adhesion molecules(CAMs),transforming growth factor-β(TGF-β),and WNT signaling pathway.NOX4 high expression group was mainly related to M2 macrophages and plasma cell infiltration in tumor tissues.Conclusion:NOX4 plays an impor-tant role in the progression of gastric cancer(GC).
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The immune system is the important guarantee for maintaining the health of organ function and preventing diseases. The goal of immune health management and immune treatment is to restore the normal function of the immune system. The technical problems of how to inhibit or enhance the immune status has been solved in the field of immunology, but how to comprehensively detect and quantitatively evaluate the immune status is still a challenge. There is no mature solution at present. The quantification detection and visualization evaluation of immune status are of great significance for disease prevention and control, sub-health status management, and immune treatment. This expert consensus has carried out preliminary discussions on the definition of normal immune status and the comprehensive quantitative evaluation and visual scoring techniques of immune cell function status (immune function), put forward the basic concepts and thinking related to normal immune status, discussed the direction and principles of quantitative detection and evaluation of immune cell function status, and taken this as an opportunity to promote the decoding of immunity and the study of basic and clinical trials in the field of immune health.
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ObjectiveTo explore the intervention effect and molecular mechanism of Dabufei decoction in Dunhuang formula combined with cisplatin on Lewis lung adenocarcinoma-bearing mice. MethodFifty C57BL/6J mice were used， with 10 randomly assigned to the blank group （without modeling）， and 40 subcutaneously inoculated with Lewis cells to establish a Lewis lung adenocarcinoma-bearing mouse model. These 40 mice were randomly divided into the following four groups （with 10 mice in each group）： Model group （equal volume of physiological saline）， cisplatin group （5 mg·kg-1）， Dabufei decoction group （14.35 g·kg-1·d-1）， and Dabufei decoction combined with cisplatin group （Dabufei decoction 14.35 g·kg-1·d-1 + cisplatin 5 mg·kg-1）. Each group was treated continuously for 14 days. The general condition of the mice was observed， body weight changes were recorded， and the tumor inhibition rate， spleen index， and thymus index were calculated. Peripheral blood white blood cell （WBC）， platelet （PLT）， and hemoglobin （HGB） were detected by routine blood tests. Flow cytometry was used to detect the expression of CD4+CD25+FoxP3+ regulatory T cells （Treg） and natural killer （NK） cells in the spleen. Western blot and real-time quantitative polymerase chain reaction （Real-time PCR） were used to determine the expression of proteins and mRNA related to the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway in tumor tissues. ResultCompared with the blank group， the model group showed decreased body weight （P<0.05）， spleen index， and thymus index （P<0.05）， decreased percentage of NK cells in the spleen （P<0.05）， increased percentage of Treg cells （P<0.05）， and decreased counts of WBC， PLT， and HGB （P<0.05）. Compared with the model group， the Dabufei decoction group exhibited significant tumor growth inhibition， increased body weight， and reduced tumor weight （P<0.05）， increased percentage of NK cells （P<0.05）， decreased proportion of Treg cells （P<0.05）， and increased counts of WBC， PLT， and HGB （P<0.05）. In the cisplatin group， tumor growth was significantly inhibited， body weight significantly decreased （P<0.05）， and tumor weight significantly reduced （P<0.05）. The spleen index and thymus index decreased （P<0.05）， and the percentage of Treg cells significantly decreased （P<0.05）. The counts of WBC， PLT， and HGB significantly decreased （P<0.05）. In the Dabufei decoction combined with cisplatin group， tumor growth was significantly inhibited， and tumor weight significantly reduced （P<0.05）. The levels of phosphorylated PI3K， Akt， and mTOR proteins and mRNA in tumor tissues were significantly reduced in all medication groups （P<0.05）. Compared with the cisplatin group， the Dabufei decoction combined with cisplatin group showed significantly inhibited tumor growth， reduced tumor weight （P<0.05）， increased body weight （P<0.05）， increased spleen index and thymus index （P<0.05）， increased percentage of NK cells （P<0.05）， decreased percentage of Treg cells （P<0.05）， significantly increased counts of WBC， PLT， and HGB （P<0.05）， and reduced levels of phosphorylated PI3K， Akt， and mTOR and their mRNA （P<0.05）. ConclusionDabufei decoction combined with cisplatin has a synergistic effect with reduced toxicity， effectively regulating immune function， increasing the proportion of NK cells， reducing the proportion of Treg cells， improving bone marrow suppression， and downregulating the PI3K/Akt/mTOR signaling pathway to inhibit tumor growth in Lewis lung adenocarcinoma-bearing mice.
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AIM: To explore the key genes related to immunity and immune cell infiltration levels in diabetes retinopathy(DR)using bioinformatics.METHODS: Differential expression genes(DEGs)were obtained by “limma” R from Gene Expression Omnibus(GEO)data from September to October 2022, Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)were analyzed, and the infiltration of immune cell types in each sample was calculated based on CIBERSORT algorithm. Weighted gene co-expression network analysis(WGCNA)was used to screen for DEGs in immune-related gene modules. The protein-protein interaction(PPI)network was established by STRING online database and Cytoscape, and the hub genes were screened by MCODE and cytoHubba plug-ins.RESULTS: The results showed that 1 426 up-regulated and 206 down-regulated differential genes were screened, where 7 immune cell types, including B cell naive, Plasma cells, CD4+T cells, T cells regulatory(Tregs), Macrophages M0, Macrophages M1 and Neutrophils were significantly overexpressed(P<0.05), while others were low expressed(P<0.05). After WGCNA, a total of 820 DEGs were found in the modules most related to immunity. After constructing the PPI network, 10 key genes were screened using plug-ins, and two key genes were further screened using the expression amount of each differential gene in PPI: DLGAP5 and AURKB.CONCLUSION: This study used bioinformatics to screen the infiltration of immune cells and key genes related to immunity in patients with DR. These findings may provide evidences for future research, diagnosis, and treatment of DR.
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@#Diabetes mellitus can increase the risk and severity of periodontitis and may be associated with changes in the immune characteristics of periodontal tissues. In this paper, the morphological and immune characteristics of periodontal tissues in diabetic patients were reviewed in terms of the changes of morphology, structure and local immune cells in periodontal tissues caused by hyperglycemia and their regulatory mechanisms.
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Traditional Chinese medicine(TCM) has a long history and abundant experience in external therapy, which marks human wisdom. In the early history of human, people found that fumigation, coating, and sticking of some tree branches and herb stems can help alleviate scabies and remove parasites in productive labor, which indicates the emergence of external therapy. Pathogen usually enters the body through the surface, so external therapy can be used to treat the disease. External therapy is among the major characteristic of surgery of TCM. As one of the external therapies in TCM, external application to acupoints smooths the zang-fu organs through meridians and collaterals, thereby harmonizing yin and yang. This therapy emerged in the early society, formed the Spring and Autumn Period and the Warring States Period, improved in the Song and Ming dynasties, and matured in the Qing dynasty. With the efforts of experts in history, it has had a mature theory. According to modern research, it can avoid the first-pass effect of liver and the gastrointestinal irritation and improve the bioavailability of Chinese medicine. Based on the effect of Chinese medicine and the theory of meridian and collateral, it can stimulate the acupoints, exert regulatory effect on acupoints, and give full play to the efficacy of TCM and the interaction of the two. Thereby, it can regulate qi and blood and balance yin and yang, thus being widely used in the treatment of diseases. In this paper, the use of external application to acupoints, the effect on skin immunity, the regulation of neuro-inflammatory mechanism, the relationship between acupoint application and human circulation network, and the development of its dosage form were summarized through literature review. On this basis, this study is expected to lay a foundation for further research.
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Humans , Acupuncture Points , Biological Availability , Fumigation , Medicine, Chinese Traditional , MeridiansABSTRACT
【Objective】 To investigate the expression of Kinesin family member 14 (KIF14), and its correlation with clinical prognosis and immune cell infiltration of clear cell renal cell carcinoma (ccRCC). 【Methods】 The correlation between KIF14 expression in ccRCC and different clinicopathological features were analyzed with TCGA, GEO and Ualcan databases. The correlation between KIF14 expression and prognosis was analzyed with Kaplan-Meier method. The correlation between KIF14 expression and immune cell infiltration was analzyed with TIMER. The protein-protein interaction network of KIF14 was conducted with Genemania. The co-expression genes of KIF14 in TCGA-KIRC were picked out in Linkedomics database and were used to perform GO annotations and KEGG pathway enrichment analysis with R software. The biological functions of KIF14 were verified with in vitro functional assay. 【Results】 KIF14 was highly expressed in ccRCC tissue and was positively correlated with clinical stage, pathological grade, and lymphatic metastasis, but negatively correlated with clinical prognosis. KIF14 expression was an independent risk factor for overall survival of ccRCC patients. GO annotations showed that KIF14 was involved in DNA replication, nuclear division, organelle fission, and cell adhesion. KEGG pathway enrichment analysis showed that KIF14 participated in cell cycle and p53 signaling pathway. Genemania analysis indicated KIF14 interacted with CENPE, CIT, KIF23, and other proteins. Timer showed that KIF14 was positively correlated with immune cell infiltration. Knockdown of KIF14 expression suppressed cell proliferation, migration, and invasion of ccRCC. 【Conclusions】 KIF14 may serve as a novel prognostic marker and a potential therapeutic target of clear cell renal cell carcinoma.
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The relationship between tumor metabolism and immunity is complex and diverse. To date, the role of tumor-specific metabolic reprogramming in shaping the specific tumor microenvironment in tumor immunotherapy remains unclear. Lactic acid is the main product of glycolysis, and the aerobic glycolysis of tumor cells causes lactic acid to accumulate in the microenvironment. Recent studies have shown that the accumulation of lactic acid in the tumor microenvironment hinders anti-tumor immunity, especially affects the function, differentiation, and metabolism of immune cells, and participates in tumor immune escape, thus promoting tumor. This article reviews the effects of lactate accumulation in the tumor microenvironment on dendritic cells, T cells, NK cells, tumor-associated macrophages, and myeloid-derived suppressor cells. Targeted intervention of lactate production and efflux by tumor cells is expected to become a new strategy for tumor immunotherapy.
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Objective:To explore the prognostic biomarkers of glioblastoma (GBM) in the tumor microenvironment (TME) and its function.Methods:A total of 169 GBM samples of 161 GBM patients were collected from the Cancer Genome Atlas (TCGA) database. ESTIMATE algorithm in R4.1.0 software was used to calculate the proportion of immune components and stromal components in TME, which were expressed as immune score and stromal score, respectively. According to the median value of the two scores, 169 GBM samples were divided into the high score group and the low score group, respectively, 84 each in each group (those whose scores were equal to the median were not involved in the grouping). The differentially expressed genes (DEG) [false discovery rate (FDR) < 0.05] between the high score group and the low score group of the two scores were obtained by using limma package, and the co-up-regulated and co-down-regulated DEG of the two scores were obtained by using Venn program. Based on the STRING database, the protein interaction (PPI) network of co-up-regulated and down-regulated DEG of immune score and stromal score was constructed, and the top 30 genes with connectivity were selected. Univariate Cox proportional hazard model analysis of overall survival (OS) of 161 GBM patients in the TCGA database was performed on co-up-regulated and down-regulated DEG between immune score and stromal score by using R4.1.0 software to obtain the DEG affecting OS. The intersection of the DEG obtained from PPI analysis and Cox analysis was taken as the prognostic core genes. According to the median expression value of prognostic core genes in GBM samples from the TCGA database, 161 patients were divided into prognostic core genes high expression group and low expression group (patients whose scores were equal to the median were not involved in the grouping), with 80 cases in each group. Kaplan-Meier survival analysis of OS was performed by using R4.1.0 software. GSEA 4.2.1 software was used to perform gene set enrichment analysis (GSEA) on all genes with transcriptome data of GBM patients in the two groups of the TCGA databases, and the main enriched functions of the two groups of genes were obtained. The CIBERSORT algorithm was used to test the accuracy of the proportion of tumor infiltrating immune cell (TIC) subsets in 169 GBM samples from the TCGA database, and 57 GBM samples were finally obtained. Immune cells with differential expression levels and immune cells related to the expression of prognostic core genes among the samples with different expression levels of prognostic core genes were analyzed; Venn program was used to obtain the intersection of immune cells with differential levels and related immune cells, and differentially expressed TIC related to expressions of prognostic core genes in GBM were obtained.Results:Based on the immune score and stromal score of GBM samples in the TCGA database, a total of 693 co-up-regulated and co-down-regulated DEG of both scores were screened out. After the intersection of 78 DEG related to OS obtained by univariate Cox regression analysis and 30 DEG obtained by PPI network results, CC motif chemokine receptor 2 (CCR2) was identified as the prognostic core gene ( HR = 1.294, 95% CI 1.060-1.579, P = 0.011). GBM patients with CCR2 high expression had worse OS compared with those with CCR2 low expression ( P = 0.009). GSEA analysis showed that genes in the CCR2 high expression group were mainly enriched in immune-related pathways, while genes in the CCR2 low expression group were mainly enriched in metabolism-related pathways. Among 57 screened GBM samples, there were differences in the levels of 3 immune cells between the CCR2 high expression group and the CCR2 low expression group ( P < 0.05). CCR2 expression was correlated with the levels of 9 immune cells (all P < 0.05). Venn program analysis showed that differentially expressed 3 TIC in GBM related to CCR2 gene expression were obtained; among them, M2 macrophages were positively correlated with CCR2 expression, while T follicular helper cell and activated NK cells were negatively correlated with CCR2 expression. Conclusions:CCR2 may be the core gene related to the prognosis in the TME of GBM. As reference, the level of CCR2 can help to predict the status of TME and prognosis in GBM patients, which is expected to provide a new direction for the treatment of GBM.
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OBJECTIVE@#To investigate the correlation between the human epidermal growth factor receptor-2-related genes (HRGs) and survival prognosis of bladder cancer and to construct a predictive model for survival prognosis of bladder cancer patients based on HRGs.@*METHODS@#HRGs in bladder cancer were found by downloading bladder tumor tissue mRNA sequencing data and clinical data from the cancer genome atlas (TCGA), downloading HER-2 related genes from the molecular signatures database (MsigDB), and crossing the two databases. Further identifying HRGs associated with bladder cancer survival (P < 0.05) by using single and multi-factor Cox regression analysis and constructing HRGs risk score model (HRSM), the bladder cancer patients were categorized into high-risk and low-risk groups accor-ding to the median risk score. Survival analysis of the patients in high- and low-risk groups was conducted using R language and correlation of HRGs with clinical characteristics. A multi-factor Cox regression analysis was used to verify the independent factors affecting the prognosis of the patients with bladder cancer. The area under the curve (AUC) of the receiver operating characteristic curve (ROC) of HRSM was calculated, and a nomogram was constructed for survival prediction of the bladder cancer patients. Analysis of HRSM and patient immune cell infiltration correlation was made using the TIMER database.@*RESULTS@#A total of 13 HRGs associated with patient survival were identified in this study. Five genes (BTC, CDC37, EGF, PTPRR and EREG) were selected for HRSM by multi-factor Cox regression analysis. The 5-year survival rate of the bladder cancer patients in the high-risk group was significantly lower than that of the patients in the low-risk group. High expression of PTPRR was found to be significantly and negatively correlated with tumor grade and stage by clinical correlation analysis, while EREG was found to be the opposite; Increased expression of EGF was associated with high grade, however, the high expression ofCDC37showed the opposite result. And no significant correlation was found between BTC expression and clinical features. Correlation analysis of HRSM with immune cells revealed a positive correlation between risk score and infiltration of dendritic cells, CD8+T cells, CD4+T cells, neutrophils and macrophages.@*CONCLUSION@#HRGs have an important role in the prognosis of bladder cancer patients and may serve as new predictive biomarkers and potential targets for treatment.
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Humans , Epidermal Growth Factor , Prognosis , Urinary Bladder Neoplasms/genetics , Nomograms , Urinary BladderABSTRACT
The bone marrow microenvironment is a complex network structure composed of non-hematopoietic cells,hemato-poietic stem cells,extracellular matrix,and various cytokines,which is beneficial to maintain normal hematopoietic function in the body.Once bone marrow microenvironment changes,the types and functions of cells in the bone marrow will change,thereby causing the occurrence of leukemia.Leukemia is a malignant clonal disease that is not only related to abnormal proliferation and differentiation of tumor cells,but also closely related to immune dysfunction.Exosomes,immune cells,mesenchymal cells and bone marrow stromal cells(BMSCs)in the bone marrow microenvironment all have immunoregulation effects and can participate in the formation of immune suppression in leukemia,leading to disease progression.Therefore,this article aims to review the mechanism and effects of bone mar-row microenvironment on the pathogenesis of leukemia so as to provide new ideas for leukemia treatment.
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Cell therapy refers to an innovative approach, in which autologous or allogeneic stem cells or differentiated somatic cells are reinfused back into the body through venous blood circulation or tissue in situ colonization after in vitro dedifferentiation or induced differentiation, culture amplification and genetic modification to achieve the goal of treating diseases by repairing or reconstructing tissues and organs, or by activating immune responses. Cell therapy leads an important paradigm shift in medical biology and marks the arrival of a new era in the history of pharmacological intervention. Compared with traditional small molecule chemical drugs and biological products, living cells are a complex organic whole involved in the body fine regulatory network and have shown great advantages and potential in clinical treatment for some complex and intractable diseases. Currently, preclinical and clinical researches on multiple innovative therapeutic strategies based on stem and immune cells are being actively optimized and explored, and have achieved many impressive results. This article reviewed the significant articles published in the field of cell therapy in 2022 from the aspects of both basic research and clinical application, summarized recent advances and major breakthroughs in stem cell therapy and immune cell therapy for the treatment of human diseases, and analyzed the challenges, hopefully powering the rapid progress in this field.
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The immune system plays a pivotal role in the pathogenesis and progression of diseases. Lipid peroxidation, as a key effector molecule in the execution of ferroptosis, exerts critical effects on the functionality and survival of various immune cells and is involved in the pathological processes of multiple diseases. There is accumulating evidence suggesting the presence of ferroptosis in immune cells as well. Lipid peroxidation is closely associated with immune cell function. Accumulation of lipid peroxidation products in immune cells can lead to ferroptosis, directly impacting immune cell function. Non-immune cells, through lipid peroxidation-mediated cell death, release signaling molecules that regulate immune cell function. They jointly influence the body's homeostasis. This article provides a comprehensive review of the latest research progress on the regulatory role of lipid peroxidation in immune function. It analyzes the relationship between lipid peroxidation and immune cells, and provides a theoretical foundation for potential strategies targeting cellular lipid peroxidation and immunotherapy in the treatment of diseases.