Central memory T (Tcm) cells are a crucial subset in T cell development, playing an important role in long-term immune responses. Tcm cells exhibit strong proliferative capacity, long-term survival characteristics, and re-activation potential, enabling them to rapidly differentiate into effector T cells (Teff) upon antigen re-exposure, thus providing robust immune protection. The function of Tcm cells is regulated by various factors, including antigen exposure, cytokines, and metabolic conditions. A deeper understanding of their metabolic and epigenetic mechanisms under different pathological conditions will contribute to the development of more precise and effective immunotherapeutic strategies. This review elaborates on the origin and characteristics of Tcm cells, as well as their roles in antiviral responses, tumor immunity, and immunotherapy.
Humans ; Memory T Cells/cytology* ; Animals ; Immunologic Memory ; Neoplasms/therapy* ; Immunotherapy

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective To investigate the value of tranexamic acid combined with aspirin,low molecular weight heparin calcium in regulating inflammatory mediators and TEG in blood management of Total knee arthroplast(TKA).Methods 120 elderly patients with TKA in our hospital from January 2020 to October 2022 were randomly divided into group A(n=60)and group B(n=60).They were given tranexamic acid+aspirin and tranexamic acid+low molecular weight heparin calcium,respectively,for 2 weeks.Perioperative indexes,complications[lower limb deep vein thrombosis(DVT),intermuscular vein thrombosis(MCVT),incision infection],blood transfusion rate,adverse reactions(gastrointestinal discomfort,subcutaneous ecchymosis),TEG parameters[coagulation reaction time(R),blood coagulation time(K),maximum amplitude(MA),coagulation angle(α)],inflammatory mediators[soluble CD40 ligand(sCD40L),Toll-like receptor 4(TLR4),tumor necrosis factor(TNF-α)],vascular endothelial injury factors[soluble thromboregulatory protein(sTM),vascular endothelial cell growth factor(VEGF),E-selectin]were compared between the two groups.Results There was no significant difference in the 24 h postoperative drainage volume,latent blood loss,total blood loss,intraoperative blood loss,Hb and HCT levels 72 h after surgery between the two groups(P＞0.05).There was no statistically significant difference in TEG parameters between the two groups,at different time points,and between groups at different time points(P＞0.05);The serum levels of TLR4,sCD40L and TNF-α in group A were lower than those in group B 2 weeks after surgery(P＜0.05).The levels of plasma sTM and serum VEGF and E-selectin in group A were lower than those in group B 2 weeks after surgery(P＜0.05).There was no significant difference in the incidence of deep vein thrombosis(DVT),intermuscular vein thrombosis(MCVT),incision infection and blood transfusion rate between group A and group B(P＞0.05).There was no significant difference in the total incidence of adverse reactions between group A and group B(P＞0.05).Conclusion Compared with the combination of low molecular weight heparin calcium,the combination of tranexamic acid and aspirin can protect vascular endothelium and inhibit inflammatory response.However,both can maintain the patient's coagulation function and avoid massive blood loss or thrombosis.There is no significant difference in safety and effectiveness.

Objective:To evaluate the diagnostic accuracy of the convolutional neural network（CNN） in diagnosing nasopharyngeal carcinoma using endoscopic narrowband imaging. Methods:A total of 834 cases with nasopharyngeal lesions were collected from the People's Hospital of Guangxi Zhuang Autonomous Region between 2014 and 2016. We trained the DenseNet201 model to classify the endoscopic images, evaluated its performance using the test dataset, and compared the results with those of two independent endoscopic experts. Results:The area under the ROC curve of the CNN in diagnosing nasopharyngeal carcinoma was 0.98. The sensitivity and specificity of the CNN were 91.90% and 94.69%, respectively. The sensitivity of the two expert-based assessment was 92.08% and 91.06%, respectively, and the specificity was 95.58% and 92.79%, respectively. There was no significant difference between the diagnostic accuracy of CNN and the expert-based assessment （P=0.282, P=0.085）. Moreover, there was no significant difference in the accuracy in discriminating early-stage and late-stage nasopharyngeal carcinoma（P=0.382）. The CNN model could rapidly distinguish nasopharyngeal carcinoma from benign lesions, with an image recognition time of 0.1 s/piece. Conclusion:The CNN model can quickly distinguish nasopharyngeal carcinoma from benign nasopharyngeal lesions, which can aid endoscopists in diagnosing nasopharyngeal lesions and reduce the rate of nasopharyngeal biopsy.
Humans ; Nasopharyngeal Carcinoma ; Narrow Band Imaging ; China ; Neural Networks, Computer ; Nasopharyngeal Neoplasms/diagnostic imaging*

OBJECTIVE To explore the mechanism of Aurora kinase A (Aurora-A) promoting cancer cell chemotherapy resistance in nasopharyngeal carcinoma. METHODS The expression of Aurora-A in nasopharyngeal carcinoma tissues and adjacent tissues were detected by Western bolt and Q-PCR. The highexpressing Aurora A cell line CNE2 was used to detected the cell apoptosis and the expression of key pathway marker protein after Aurora-A inhibitor VX680 and cisplatin treatment by using Flow cytometry and WB. RESULTS The expression of Aurora-A in nasopharyngeal carcinoma tissues was significantly higher than that in adjacent tissues. Comparing to normal nasopharyngeal cells NP69, Aurora-A was significantly highly expressed in all of nasopharyngeal carcinoma cells and was highest in CNE2. Inhibiton of Aurora-A increased the cell apoptosis and the expression of p-AKT, p21 and Cleaved-Caspase-3 after using cisplatin or the Aurora-A inhibitor VX680 treatment. CONCLUSION The results shown that Aurora-A confer chemoresistance to cisplatin treatment through p-AKT/p21/Cleaved-Caspase-3 pathway.

Objective Screening the immune polypeptide sequence of toxoplasma (Tg) CDPK5 gene ,which were synthesized and then immunized the New Zealand white rabbit to prepare antiserum ,and identification its function .Methods Bioinformatics a‐nalysis was used to determine the immune peptide of Tg CDPK5 sequence ,which were artificially synthesized to immune white rab‐bit to prepare antiserum .The titers of antibodies were determined by ELISA and the polyclonal antibodies were verified with CD‐KP5 antigen by Western blot .The sub‐cellular localization of Tg CDPK 5 were obtained by immunofluorescence assay .Results 17 bp peptide sequence from the Tg CDPK5 N‐terminal were chosen as immune polypeptide by bioinformatics analysis .Synthetic pep‐tide were used to immune rabbit to obtain polyclonal antiserum .The result showed that the titer of the obtained ployantibody were 1∶640 000 ;Western blot demonstrated that the antiserum could specifically recognize Tg CDPK 5(75 .4 × 103 );Immunofluores‐cence assay revealed this antibody could specifically recognize the endogenous Tg CDPK 5 of Toxoplasma gondii .Conclusion Ac‐cording to the analysis of Tg CDPK5 sequence information ,this study successful obtained Tg CDPK5 polyclonal antibody .