Blockade of CD300A enhances the ability of human NK cells to lyse hematologic malignancies

Objective: The human cluster of differentiation(CD)300A, a type-I transmembrane protein with immunoreceptor tyrosine-based inhibitory motifs, was investigated as a potential immune checkpoint for human natural killer(NK) cells targeting hematologic malignancies(HMs).Methods: We implemented a stimulation system involving the CD300A ligand, phosphatidylserine(PS), exposed to the outer surface of malignant cells. Additionally, we utilized CD300A overexpression, a CD300A blocking system, and a xenotransplantation model to evaluate the impact of CD300A on NK cell efficacy against HMs in in vitro and in vivo settings. Furthermore, we explored the association between CD300A and HM progression in patients.Results: Our findings indicated that PS hampers the function of NK cells. Increased CD300A expression inhibited HM lysis by NK cells. CD300A overexpression shortened the survival of HM-xenografted mice by impairing transplanted NK cells. Blocking PS–CD300A signals with antibodies significantly amplified the expression of lysis function-related proteins and effector cytokines in NK cells, thereby augmenting the ability to lyse HMs. Clinically, heightened CD300A expression correlated with shorter survival and an “exhausted” phenotype of intratumoral NK cells in patients with HMs or solid tumors.Conclusions: These results propose CD300A as a potential target for invigorating NK cell-based treatments against HMs.

Decreased LDHB expression in breast tumor cells causes NK cell activation and promotes tumor progression

Objective: Abnormal metabolism is the underlying reason for breast cancer progression. Decreased lactate dehydrogenase B(LDHB) has been detected in breast cancer but the function of LDHB remains unknown.Methods: Western blot was used to analyze LDHB expression in breast cancer cells. The impact of LDHB on tumor cell migration and invasion was determined using Transwell assays, wound healing assays, and a mouse lung metastasis model. Subcutaneous tumor formation, a natural killer(NK) cell cytotoxicity assay, and flow cytometry evaluated NK cell activation. Immunofluorescence and quantitative real-time PCR detected NK cell activation markers. Kaplan-Meier analysis evaluated the effect of immune cell infiltration on prognosis. Single-sample gene set enrichment analysis determined NK cell activation scores. A support vector machine predicted the role of LDHB in NK cell activation.Results: In this study we showed that LDHB inhibits the breast cancer cell metastasis and orchestrates metabolic reprogramming within tumor cells. Our results revealed that LDHB-mediated lactic acid clearance in breast cancer cells triggers NK cell activation within the tumor microenvironment. Our findings, which were confirmed in a murine model, demonstrated that LDHB in tumor cells promotes NK cell activation and ultimately results in the eradication of malignant cells. Clinically, our study further validated that LDHB affects immune cell infiltration and function. Specifically, its expression has been linked to enhanced NK cell-mediated cytotoxicity and improved patient survival. Furthermore, we identified LDHB expression in tumors as an important predictor of NK cell activation, with strong predictive ability in some cancers.Conclusions: Our results suggest that LDHB is a promising target for activating the tumor immune microenvironment in breast cancer, where LDHB-associated lactic acid clearance leads to increased NK cell activity. This study highlights the critical role of LDHB in regulating immune responses and its potential as a therapeutic target for breast cancer.

Hypomethylation of glycine dehydrogenase promoter in peripheral blood mononuclear cells is a new diagnostic marker of hepatitis B virus-associated hepatocellular carcinoma

Background: Glycine dehydrogenase(GLDC) plays an important role in the initiation and proliferation of several human cancers. In this study, we aimed to detect the methylation status of GLDC promoter and its diagnostic value for hepatitis B virus-associated hepatocellular carcinoma(HBV-HCC). Methods: We enrolled 197 patients, 111 with HBV-HCC, 51 with chronic hepatitis B(CHB), and 35 healthy controls(HCs). The methylation status of GLDC promoter in peripheral mononuclear cells(PBMCs) was identified by methylation specific polymerase chain reaction(MSP). The mRNA expression was examined using real-time quantitative polymerase chain reaction(q PCR). Results: The methylation frequency of the GLDC promoter was significantly lower in HBV-HCC patients(27.0%) compared to that in CHB patients(68.6%) and HCs(74.3%)( P < 0.001). The methylated group had lower alanine aminotransferase level( P = 0.035) and lower rates of tumor node metastasis(TNM) Ⅲ/Ⅳ( P = 0.043) and T3/T4( P = 0.026). TNM stage was identified to be an independent factor for GLDC promoter methylation. GLDC mRNA levels in CHB patients and HCs were significantly lower than those in HBV-HCC patients( P = 0.022 and P < 0.001, respectively). GLDC mRNA levels were significantly higher in HBV-HCC patients with unmethylated GLDC promoters than those with methylated GLDC promoters( P = 0.003). The diagnostic accuracy of alpha-fetoprotein(AFP) combined with GLDC promoter methylation for HBV-HCC was improved compared with that of AFP alone(AUC: 0.782 vs. 0.630, P < 0.001). In addition, GLDC promoter methylation was an independent predictor for overall survival of HBV-HCC patients( P = 0.038). Conclusions: The methylation frequency of GLDC promoter was lower in PBMCs from HBV-HCC patients than that from patients with CHB and HCs. The combination of AFP and GLDC promoter hypomethylation significantly improved the diagnostic accuracy of HBV-HCC.

Using Optical Tweezers to Study the Friction of the Red Blood Cells

In the last two decades the study of red blood cell elasticity using optical tweezers has known a rise appearing in the scientific research with regard to the various works carried out. Despite the various work done, no study has been done so far to study the influence of friction on the red blood cell indentation response using optical tweezers. In this study, we have developed a new approach to determine the coefficient of friction as well as the frictional forces of the red blood cell. This approach therefore allowed us to simultaneously carry out the indentation and traction test, which allowed us to extract the interfacial properties of the microbead red blood cell couple, among other things, the friction coefficient. This property would be extremely important to investigate the survival and mechanical features of cells, which will be of great physiological and pathological significance. But taking into account the hypothesis of friction as defined by the isotropic Coulomb law. The experiment performed for this purpose is the Brinell Hardness Test (DB).

Multifaceted roles of lymphatic and blood endothelial cells in the tumor microenvironment of hepatocellular carcinoma:A comprehensive review

The tumor microenvironment is a complex network of cells,extracellular matrix,and signaling molecules that plays a critical role in tumor progression and metastasis.Lymphatic and blood vessels are major routes for solid tumor metastasis and essential parts of tumor drainage conduits.However,recent studies have shown that lymphatic endothelial cells(LECs)and blood endothelial cells(BECs)also play multifaceted roles in the tumor microenvironment beyond their structural functions,particularly in hepatocellular carcinoma(HCC).This comprehensive review summarizes the diverse roles played by LECs and BECs in HCC,including their involvement in angiogenesis,immune modulation,lymphangiogenesis,and metastasis.By providing a detailed account of the complex interplay between LECs,BECs,and tumor cells,this review aims to shed light on future research directions regarding the immune regulatory function of LECs and potential therapeutic targets for HCC.

Advances in the differentiation of pluripotent stem cells into vascular cells

Blood vessels constitute a closed pipe system distributed throughout the body,transporting blood from the heart to other organs and delivering metabolic waste products back to the lungs and kidneys.Changes in blood vessels are related to many disorders like stroke,myocardial infarction,aneurysm,and diabetes,which are important causes of death worldwide.Translational research for new appro-aches to disease modeling and effective treatment is needed due to the huge socio-economic burden on healthcare systems.Although mice or rats have been widely used,applying data from animal studies to human-specific vascular physiology and pathology is difficult.The rise of induced pluripotent stem cells(iPSCs)provides a reliable in vitro resource for disease modeling,regenerative medicine,and drug discovery because they carry all human genetic information and have the ability to directionally differentiate into any type of human cells.This review summarizes the latest progress from the establishment of iPSCs,the strategies for differentiating iPSCs into vascular cells,and the in vivo trans-plantation of these vascular derivatives.It also introduces the application of these technologies in disease modeling,drug screening,and regenerative medicine.Additionally,the application of high-tech tools,such as omics analysis and high-throughput sequencing,in this field is reviewed.

Predictive value of red blood cell distribution width and hematocrit for short-term outcomes and prognosis in colorectal cancer patients undergoing radical surgery

BACKGROUND Previous studies have reported that low hematocrit levels indicate poor survival in patients with ovarian cancer and cervical cancer,the prognostic value of hematocrit for colorectal cancer(CRC)patients has not been determined.The prognostic value of red blood cell distribution width(RDW)for CRC patients was controversial.AIM To investigate the impact of RDW and hematocrit on the short-term outcomes and long-term prognosis of CRC patients who underwent radical surgery.METHODS Patients who were diagnosed with CRC and underwent radical CRC resection between January 2011 and January 2020 at a single clinical center were included.The short-term outcomes,overall survival(OS)and disease-free survival(DFS)were compared among the different groups.Cox analysis was also conducted to identify independent risk factors for OS and DFS.RESULTS There were 4258 CRC patients who underwent radical surgery included in our study.A total of 1573 patients were in the lower RDW group and 2685 patients were in the higher RDW group.There were 2166 and 2092 patients in the higher hematocrit group and lower hematocrit group,respectively.Patients in the higher RDW group had more intraoperative blood loss(P<0.01)and more overall complications(P<0.01)than did those in the lower RDW group.Similarly,patients in the lower hematocrit group had more intraoperative blood loss(P=0.012),longer hospital stay(P=0.016)and overall complications(P<0.01)than did those in the higher hematocrit group.The higher RDW group had a worse OS and DFS than did the lower RDW group for tumor node metastasis(TNM)stage I(OS,P<0.05;DFS,P=0.001)and stage II(OS,P=0.004;DFS,P=0.01)than the lower RDW group;the lower hematocrit group had worse OS and DFS for TNM stage II(OS,P<0.05;DFS,P=0.001)and stage III(OS,P=0.001;DFS,P=0.001)than did the higher hematocrit group.Preoperative hematocrit was an independent risk factor for OS[P=0.017,hazard ratio(HR)=1.256,95%confidence interval(CI):1.041-1.515]and DFS(P=0.035,HR=1.194,95%CI:1.013-1.408).CONCLUSION A higher preoperative RDW and lower hematocrit were associated with more postoperative complications.However,only hematocrit was an independent risk factor for OS and DFS in CRC patients who underwent radical surgery,while RDW was not.

Application of neutrophil-lymphocyte ratio and red blood cell distribution width in diabetes mellitus complicated with heart failure

BACKGROUND Accumulating clinical evidence has shown that diabetes mellitus(DM)is a serious risk factor for cardiovascular disorders and an important factor for adverse cardiovascular events.AIM To explore the value of the combined determination of the neutrophil-lymphocyte ratio(NLR)and red blood cell distribution width(RDW)in the early diagnosis and prognosis evaluation of DM complicated with heart failure(HF).METHODS We retrospectively analyzed clinical data on 65 patients with type 2 DM(T2DM)complicated with HF(research group,Res)and 60 concurrent patients with uncomplicated T2DM(control group,Con)diagnosed at Zhejiang Provincial People’s Hospital between January 2019 and December 2021.The NLR and RDW values were determined and comparatively analyzed,and their levels in T2DM+HF patients with different cardiac function grades were recorded.The receiver operating characteristic(ROC)curves were plotted to determine the NLR and RDW values(alone and in combination)for the early diagnosis of HF.The correlation between NLR and RDW with the presence or absence of cardiac events was also investigated.RESULTS Higher NLR and RDW levels were identified in the Res vs the Con groups(P<0.05).The NLR and RDW increased gradually and synchronously with the deterioration of cardiac function in the Res group,with marked differences in their levels among patients with grade II,III,and IV HF(P<0.05).ROC curve analysis revealed that NLR combined with RDW detection had an area under the curve of 0.915,a sensitivity of 76.9%,and a specificity of 100%for the early diagnosis of HF.Furthermore,HF patients with cardiac events showed higher NLR and RDW values compared with HF patients without cardiac events.CONCLUSION NLR and RDW were useful laboratory indicators for the early diagnosis of DM complicated with HF,and their joint detection was beneficial for improving diagnostic efficiency.Additionally,NLR and RDW values were directly proportional to patient outcomes.

Development of Non-ABO Red Blood Cell Alloantibodies in Patient Undergoing Allogeneic Haematopoietic Stem Cell Transplant

Alloantibodies that are non ABO Alloimmunization to protein antigens happens only after exposure, in contrast to ABO isohaemagglutinins, which are present naturally, even in the absence of prior exposure. It is recognized that while non-ABO RBC antibodies are less common than ABO antibodies, they generate essentially the same issues that lead to unfavorable clinical results. If non-ABO alloantibodies are identified early on, these issues related complications may be avoided This call for an in-depth understanding of the recipient and donor’s ABO-Rh grouping, antibody screening, and the phenotype of certain antigens. Equally important, the temporal association time between transplantation and hemolysis can help identify the underlying mechanism of hemolysis and direct appropriate management. Therefore, for that, it is crucial to identify the etiology of post-HSCT anemia for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HSCT and the temporal link between HSCT and anemia. Finding the cause of post-HSCT anemia is essential for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HSCT and the temporal link between HSCT and anemia. Therefore, for that, it is crucial to identify the etiology of post-HSCT anemia. In this case report review, we would like to highlight the vital role of transfusion medicine services and stem cell clinical teams in paying particular attention to the clinical significance of non-ABO alloantibodies involved to avoid causing overt hemolysis of incompatible donor RBCs or delayed erythropoiesis. Considering the fact that some of the Haematopoietic stem cell transplant centers do not give an attention to the other non-ABO RBC antigens.

White Blood Cells Detection Using Spectral Tresholding

The study of the morphology of White Blood Cells (WBCs) further contributes to the clinical diagnosis of blood diseases. In this research paper, we come up with an image segmentation enhancement by combining Fourier Fast Transform on smear blood capture and classical thresholding. The Fast Fourier Transform (FFT) is a very powerful tool in image processing and it was used to segment and extract the WBCs. Our image processing method uses a Fast Fourier Transform combined with filtering and an Inverse Fast Fourier Transform for the extraction and visualization of the high frequency region of the image. In order to remove residual Red Blood Cells acting as noise in the expected result, a final thresholding step is added at the end of the processing. The results presented in this article report the tests performed using our mathematical implementation. Moreover, we were able to detect and differentiate the sub-families of WBCs.

Automated Artificial Intelligence Empowered White Blood Cells Classification Model

White blood cells (WBC) or leukocytes are a vital component ofthe blood which forms the immune system, which is accountable to fightforeign elements. The WBC images can be exposed to different data analysisapproaches which categorize different kinds of WBC. Conventionally, laboratorytests are carried out to determine the kind of WBC which is erroneousand time consuming. Recently, deep learning (DL) models can be employedfor automated investigation of WBC images in short duration. Therefore,this paper introduces an Aquila Optimizer with Transfer Learning basedAutomated White Blood Cells Classification (AOTL-WBCC) technique. Thepresented AOTL-WBCC model executes data normalization and data augmentationprocess (rotation and zooming) at the initial stage. In addition,the residual network (ResNet) approach was used for feature extraction inwhich the initial hyperparameter values of the ResNet model are tuned by theuse of AO algorithm. Finally, Bayesian neural network (BNN) classificationtechnique has been implied for the identification of WBC images into distinctclasses. The experimental validation of the AOTL-WBCC methodology isperformed with the help of Kaggle dataset. The experimental results foundthat the AOTL-WBCC model has outperformed other techniques which arebased on image processing and manual feature engineering approaches underdifferent dimensions.

Cytokine changes and embryo attachment in mouse endometrial cells following treated with peripheral blood mononuclear cells(PBMCs)expressing ectopic hCG,and hCG-activated PBMCs

Objective:To compare the effect of human chorionic gonadotropin(hCG)-producing peripheral blood mononuclear cells(PBMCs)and PBMCs activated by hCG in vitro and expressions of related immune genes in mouse implantation.Methods:hCG-producing PBMCs(transfected PBMC)and PBMCs activated by hCG in vitro were introduced into isolated mouse endometrial cells,while cell cultures were divided into four groups:the control,PBMC,transfected,and activated PBMC groups.The expression of studied genes(IL-1β,IL-6,Lif,and Vegf)was evaluated and blastocyst attachment on the cocultured cells(isolated endometrial cells and PBMC cells)was monitored in all four groups.Results:Data showed that expression decreased in the PBMC group compared to the treated PBMC(transfected and activated PBMCs)and increased in transfected PBMC compared to the activated PBMC.Attachment and migration of blastocysts were dramatically enhanced in the transfected PBMC group compared to the activated PBMC group(P<0.05).Conclusions:Use of hCG-producing PBMCs(transfected PBMC)has more influence on endometrial receptivity.

A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells Classification

Some human diseases are recognized through of each type of White Blood Cell(WBC)count,so detecting and classifying each type is important for human healthcare.The main aim of this paper is to propose a computer-aided WBCs utility analysis tool designed,developed,and evaluated to classify WBCs into five types namely neutrophils,eosinophils,lymphocytes,monocytes,and basophils.Using a computer-artificial model reduces resource and time consumption.Various pre-trained deep learning models have been used to extract features,including AlexNet,Visual Geometry Group(VGG),Residual Network(ResNet),which belong to different taxonomy types of deep learning architectures.Also,Binary Border Collie Optimization(BBCO)is introduced as an updated version of Border Collie Optimization(BCO)for feature reduction based on maximizing classification accuracy.The proposed computer aid diagnosis tool merges transfer deep learning ResNet101,BBCO feature reduction,and Support Vector Machine(SVM)classifier to forma hybridmodelResNet101-BBCO-SVM an accurate and fast model for classifying WBCs.As a result,the ResNet101-BBCO-SVM scores the best accuracy at 99.21%,compared to recent studies in the benchmark.The model showed that the addition of the BBCO algorithm increased the detection accuracy,and at the same time,decreased the classification time consumption.The effectiveness of the ResNet101-BBCO-SVM model has been demonstrated and beaten in reasonable ratios in recent literary studies and end-to-end transfer learning of pre-trained models.

Relation between Neurotransmitters and NK Cells in Adrenal and Breast Cancer

Purpose: Data on microarray gene expression The Gene Expression Omnibus (GEO) provided information on gene expression. Transcription GEO provided two profiles of human NK cells from breast and adrenal tumors (GSE179509 and GSE143383). Data processing and normalization The Dseq2 tool in the R programming language was used to standardize the raw data from GEO. The following analyses were carried out: fold change and P-value analysis, volcano plot, network analysis, GEPIA, and David pathway analysis. In this paper, using Venny software, we discovered 2 genes that are shared by neurotransmitters and NK cells in breast cancer and adrenal cancer. Between these genes and the pathways, they are a part of, we discovered a network. Pathway analysis revealed that these genes are mostly linked to the neurotransmitter and apoptotic pathways. In breast and adrenal tumors, the genes HRH1 and GABRD were discovered to be connected to NK cells. In response to breast and adrenal tumors, almost all of these genes are effective. It is thus postulated that the diagnosis of breast and adrenal cancer may be affected by the up-or down-regulation of these genes. Methods: Microarray gene expression data gene expression data was obtained from the Gene Expression Omnibus (GEO) Transcription 2 profile data of human NK cells from human breast and adrenal cancers were obtained from GEO (GSE179509 and GSE143383). Processing and normalization of data the raw data from GEO were normalized with the Dseq2 package in the R software. Fold change and P value analysis, Volcano plot, network analysis, GEPIA, and David pathway analysis were performed. Results: In this article, we found genes common to neurotransmitters with NK cells in adrenal cancer and breast cancer with Venny program, resulting in 2 genes. We identified a network between these genes and pathways they belong to. Pathway analysis showed that these genes are mostly associated with apoptosis and neurotransmitters pathway. Conclusion: HRH1 and GABRD genes were found to be associated with NK cells in breast and adrenal cancers. Almost all these genes are effective in response to breast and adrenal cancers. Therefore, it is hypothesized that downregulation or upregulation of these genes may affect breast and adrenal cancer diagnosis.

Interleukin-15 Promotes the Commitment of Cord Blood CD34^+ Stem Cells into NK Cells

To explore the effect of rhIL-15 on CB-CD34 + stem cells committing to NK cells, CD34 + stem cells were obtained from cord blood (CB) by magnetic-assisted cell sorting (MACS) method. CD3, CD16 and CD56 molecules expressed on cell surface were detected by flow cytometer. MTT method was used to test the cytotoxicity of NK cells. The results were that stem cell factor (SCF) alone has no effect on CD34 + stem cells. IL-15 stimulated CD34 + stem cells commit to NK cells, and SCF showed strong synergistic effect with IL-15. It was concluded that IL-15 and SCF played different roles during NK cell development, IL-15 promoted CD34 + stem cells differentiate to NK cell precursor and SCF improved the effects of IL-15 on NK cell differentiation.

鼻型结外NK/T细胞淋巴瘤误诊为鼻窦炎眶周蜂窝织炎1例

1临床资料患者,男,34岁,因“鼻堵脓涕1月余伴右眼红肿2周”于门诊就诊。患者1个月前在劳累饮酒后出现双侧持续性鼻堵、黄脓涕,伴双侧额部头痛、右眼眶重度胀痛,需口服止痛药缓解疼痛。2周前右眼疼痛加重,伴视物稍模糊,无复视,伴发热,体温最高38.2℃。门诊初步疑诊“急性鼻窦炎眶周蜂窝织炎”收治入院。发病以来患者神清,精神可,食欲尚可,近6个月体重下降约30斤,夜间睡眠差,伴乏力。

细胞因子诱导的记忆样NK细胞与实体瘤免疫治疗的研究进展

自然杀伤细胞(natural killer cell,NK细胞)是一种先天性淋巴细胞,在抵御病毒感染和肿瘤侵袭中发挥着关键作用,是先天免疫系统的重要组成部分。NK细胞不具有抗原特异性,而近期的研究表明,NK细胞在半抗原暴露、病毒感染或联合细胞因子的激活后,表现出适应性和记忆样特征,后者可通过IL-12/15/18的短暂刺激诱导来实现。与正常NK细胞相比,这些细胞因子诱导的记忆样NK细胞能够长期增殖、存活,并且IFN-γ的产生及对肿瘤细胞的细胞毒性的效应器功能都得以增强,这使其成为肿瘤免疫治疗的优选细胞。在复发性/难治性急性髓系白血病的临床研究证明,细胞因子诱导的记忆样NK细胞过继性治疗是安全并有效的。细胞因子诱导的记忆样NK细胞已经开始肝癌等实体瘤的临床前研究,本文综述目前关于细胞因子诱导的记忆样NK细胞在实体瘤中的临床前研究的最新进展,为实体瘤免的疫治疗提供新思路。

THE EFFECT OF STEM CELL FACTOR, INTERLEUKIN-6 AND ERYTHROPOIETIN ON EXPANSION OF CD34^+ CELLS FROM HUMAN UMBILICAL CORD BLOOD

CD34+ cells from human umbilical cord blood were purified by Dynal beads M-450 CD34 immunoselection system and cultured in the presence of various cytokines alone or in combination, including stem cell factor (SCF), interleukin-6 (IL-6) and erythropoietin (EPO). The results revealed that: (D In methylcellulose culture, the plating efficiencies of purified cord blood CD34+ cells were much different when stimulated by various cytokines. IL-6 alone had the lowest colo-ny yield, while the combination of SCF, IL-6 and EPO had the highest yield. ② In the suspension culture, IL-6 alone or IL-6 + EPO had little expanding effect on cord blood CD34+ celis, the other cytokine combinations could expand cord blood CD34+ celis at different Ievels. Among them, the combination of SCF, IL-6 and EPO had the maximal expanding effect on cord blood CD34+ celis, the number of progenitor celis peaked at day 21, about 29-fold increase and nucleated celis increased approximately 3676-fold at day 28. The expanding effect of

miR-10b介导NKG2D调节脑胶质瘤细胞免疫效应的实验研究

目的:观察微小核糖核酸-10b(miR-10b)对脑胶质瘤细胞免疫效应的调节作用并探讨其作用机制。方法:取人脑胶质瘤细胞U251进行培养和传代,获得处于对数生长期的细胞。按照1.0×105个/ml浓度制备细胞悬液,并设置对照组、过表达组、低表达组、空白组,每组6个复孔。对照组、过表达组、低表达组分别采用脂质体转染法转染阴性对照、miR-10b模拟物、miR-10b抑制剂,空白组予以等量无菌生理盐水。分离和培养1例健康志愿者外周血自然杀伤(NK)细胞。MTT法检测不同效靶比时NK细胞的杀伤活性;流式细胞仪检测各组NK细胞表面NK细胞激活受体(NKG2D)表达,并检测各组人脑胶质瘤细胞U251表面主要组织相容性复合物Ⅰ链相关基因A(MICA)、UL16结合蛋白2(ULBP2)、UL16结合蛋白3(ULBP3)表达。结果:对照组、过表达组、低表达组转染效率分别为(93.55±2.05)%、(95.67±3.14)%、(94.18±3.26)%;与对照组和空白组相比,过表达组miR-10b表达升高,低表达组miR-10b表达降低,差异均有统计学意义(P<0.05),且对照组和空白组miR-10b表达差异无统计学意义(P>0.05);与对照组和空白组相比,过表达组NK细胞不同效靶比杀伤活性均降低、NKG2D表达降低,低表达组NK细胞不同效靶比杀伤活性均增高、NKG2D表达增高,差异均有统计学意义(P<0.05),各组NK细胞杀伤活性均随效靶比增加而增高,差异均有统计学意义(P<0.05),且对照组与空白组相比,相同效靶比NK细胞杀伤活性、NKG2D表达差异均无统计学意义(P>0.05);与对照组和空白组相比,过表达组人脑胶质瘤细胞U251表面MICA、ULBP2、ULBP3表达均降低,低表达组人脑胶质瘤细胞U251表面MICA、ULBP2、ULBP3表达均增高,差异均有统计学意义(P<0.05),且对照组与空白组人脑胶质瘤细胞U251表面MICA、ULBP2、ULBP3表达差异均无统计学意义(P>0.05)。结论:抑制miR-10b表达能够增加NK细胞表面NKG2D和人脑胶质瘤细胞U251表面MICA、ULBP2、ULBP3表达,增强NK细胞对人脑胶质瘤细胞U251的杀伤活性。

Automated White Blood Cell Disease Recognition Using Lightweight Deep Learning

White blood cells(WBC)are immune system cells,which is why they are also known as immune cells.They protect the human body from a variety of dangerous diseases and outside invaders.The majority of WBCs come from red bone marrow,although some come from other important organs in the body.Because manual diagnosis of blood disorders is difficult,it is necessary to design a computerized technique.Researchers have introduced various automated strategies in recent years,but they still face several obstacles,such as imbalanced datasets,incorrect feature selection,and incorrect deep model selection.We proposed an automated deep learning approach for classifying white blood disorders in this paper.The data augmentation approach is initially used to increase the size of a dataset.Then,a Darknet-53 pre-trained deep learning model is used and finetuned according to the nature of the chosen dataset.On the fine-tuned model,transfer learning is used,and features engineering is done on the global average pooling layer.The retrieved characteristics are subsequently improved with a specified number of iterations using a hybrid reformed binary grey wolf optimization technique.Following that,machine learning classifiers are used to classify the selected best features for final classification.The experiment was carried out using a dataset of increased blood diseases imaging and resulted in an improved accuracy of over 99%.