Objective To construct mice hepatocellular carcinoma models with different tumor immune microenvironments(TIME)and explore the differences.Methods H22 and hepa1-6 were used to construct subcutaneous transplantation tumor model of C57 mice as homologous hepatocellular carcinoma cell lines(denoted as H22 group and hepal-6 group,each n=8),and the differences of TIME were evaluated.Immunohistochemistry was used to detect and quantify the infiltration of T cells,CD4+T cells,CD8+T cells,regulatory T cells and B cells in TIME.Flow cytometry was performed to detect the differences of composition of immune cell subpopulations in peripheral blood and tumor parenchyma.Gene expression profile characteristics of tumor tissue were analyzed based on high-throughput transcriptome sequencing technology,and enrichment analyses of immune-related signaling pathways were evaluated combined with gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG).Results H22 group showed cold and hepa1-6 group showed hot TIME characteristics.The number of T cells,CD4+T cells and CD8+T cells in tumor tissue of H22 group were all lower,while the proportion of T cells,CD4+T cells and CD8+T cells in peripheral blood were all higher than those of hepa1-6 group(all P＜0.05).Compared with H22 group,up-regulated genes of tumor tissue in hepa1-6 group expressed significantly enriched in tumor immune activation-related signaling pathways.Conclusion H22 and hepa1-6 hepatocellular carcinoma models showed distinct TIME characteristics of cold and hot tumors,respectively,and the amount of immune cells in tumor tissue of the former were significantly lower than those in the latter.

Objective To construct mice hepatocellular carcinoma models with different tumor immune microenvironments(TIME)and explore the differences.Methods H22 and hepa1-6 were used to construct subcutaneous transplantation tumor model of C57 mice as homologous hepatocellular carcinoma cell lines(denoted as H22 group and hepal-6 group,each n=8),and the differences of TIME were evaluated.Immunohistochemistry was used to detect and quantify the infiltration of T cells,CD4+T cells,CD8+T cells,regulatory T cells and B cells in TIME.Flow cytometry was performed to detect the differences of composition of immune cell subpopulations in peripheral blood and tumor parenchyma.Gene expression profile characteristics of tumor tissue were analyzed based on high-throughput transcriptome sequencing technology,and enrichment analyses of immune-related signaling pathways were evaluated combined with gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG).Results H22 group showed cold and hepa1-6 group showed hot TIME characteristics.The number of T cells,CD4+T cells and CD8+T cells in tumor tissue of H22 group were all lower,while the proportion of T cells,CD4+T cells and CD8+T cells in peripheral blood were all higher than those of hepa1-6 group(all P＜0.05).Compared with H22 group,up-regulated genes of tumor tissue in hepa1-6 group expressed significantly enriched in tumor immune activation-related signaling pathways.Conclusion H22 and hepa1-6 hepatocellular carcinoma models showed distinct TIME characteristics of cold and hot tumors,respectively,and the amount of immune cells in tumor tissue of the former were significantly lower than those in the latter.

To date,measuring the neural activity of speech processing in adults and children after cochlear implantation has been a great challenge because conventional neuroimaging techniques are limited by the magnetic properties of cochlear implants.Functional near-infrared spectroscopy(fNIRS)is a non-invasive imaging technique for neuroimaging the brain compatible with implanted devices and unaffected by electrical artifacts.fNIRS is suitable for measuring the neural activity of speech processing in adult and pediatric cochlear implant recipients and can better identify and interpret cortical responses.The purpose of this paper is to summarize the use of fNIRS as a tool to measure the neural activation level of speech processing in cochlear implant recipients for different types of speech stimuli,and thus to provide a clinical and objective basis for the assessment of auditory speech rehabilitation and the development of rehabilitation programs for implant recipients.

Efforts have been made to establish various human pluripotent stem cell lines. However, such methods have not yet been duplicated in non-human primate cells. Here, we introduce a multiplexed single-cell sequencing technique to profile the molecular features of monkey pluripotent stem cells in published culture conditions. The results demonstrate suboptimized maintenance of pluripotency and show that the selected signaling pathways for resetting human stem cells can also be interpreted for establishing monkey cell lines. Overall, this work legitimates the translation of novel human cell line culture conditions to monkey cells and provides guidance for exploring chemical cocktails for monkey stem cell line derivation.
Animals ; Haplorhini ; Single-Cell Gene Expression Analysis ; Pluripotent Stem Cells/metabolism* ; Cell Line ; Signal Transduction ; Cell Differentiation ; Transcriptome

Objective To establish a predictive model using multiple layer perceptron (MLP) for short-term outcome after subacute ischemic stroke.Methods From January, 2019 to September, 2021, 60 readmission-inpatients in Department of Rehabilitation, Ruijin Hospital, Shanghai Jiaotong University School of Medicine were collected the clinical features of first admission (less than 30 days after attack), and the outcomes were assessed with modified Rankin Scale (MRS) three months after the first admission. The risk factors were screened with single factor analysis, and the short-term outcome predictive models were established with multi-factor Logistic regression and MLP. The predictive accuracy of both models was calculated, and the predictive effects were compared with Receiver Operating Characteristic (ROC) curve.Results For multi-factor Logistic regression, the predictive accuracy was 73.3%, and the area under ROC curve was 0.851. For MLP, the predictive accuracy was 88.9%, and the area under the ROC curve was 0.930.Conclusion The prediction of short-term outcome after subacute ischemic stroke can be done with MLP model.

Objective:To evaluate the efficacy of task-oriented training for rehabilitation of stroke patients with hemiplegia in the community.Methods:Eighty stroke patients with hemiplegia receiving rehabilitation in Shanghai Babsongyuan Subdistrict Community Health Service Center from January 2017 to December 2019 were enrolled in the study. According to the rehabilitation methods, the patients were divided into the observation group (42 cases) and the control group (38 cases). Both groups were given routine Bobath technique and motor relearning method for 3 months; on this basis the observation group was given additional task-oriented training. The Brunnstrum stage was used to evaluate the limb function, Bobath balance scale was used to evaluate the sitting and standing balance function, and modified Barthel Index (MBI) was used to evaluate the activities of daily living.Results:The Brunnstrum stage of upper limbs, hands and lower limbs, Bobath sitting and standing balance function classification and MBI score of the two groups were significantly improved after treatment (the observation group: Uc=5.037, 4.567, 5.228, 2.538, 6.508, t=36.215, P<0.05; the control group: Uc=2.483, 2.311, 2.335, 2.200, 4.102, t=29.260, P<0.05). While the Brunnstrum stage of upper limb, hand and lower limb, Bobath sitting and standing balance function grade of observation group were significantly better than those of control group, MBI score was significantly higher than that of control group ( Uc=2.592, 2.243, 2.897, 2.018, 2.825, t=8.375, P<0.05). Conclusion:Bobath technique and motor relearning method combined with task-oriented training can significantly enhance the recovery of limb motor function and the improvement of activities of daily living of stroke patients.

0 05). In 53 ITP patients, the positive rate of PAIgG was 64 2% (34/53), the positive rate of mean fluorescence intensity (MFI) was 71 7% (38/53), the positive rate of both PAIgG and MFI was 84 9% (45/53). The expression of GPⅡb/Ⅲa in ITP group without clinical symptoms was significantly higher than that in ITP group with clinical symptoms ( P