Recipient antigen presenting cells (APCs) are required for CD8-mediated GVHD and have an important and nonredundant role in CD4-mediated GVHD in mouse MHC-matched allogeneic bone marrow transplantation (alloBMT). However, the precise roles of specific recipient APCs — dendritic cells, macrophages, and B cells — are not well defined. If recipient B cells are important APCs they could be depleted with Rituximab, an anti-CD20 monoclonal antibody. On the other hand, B cells can downregulate T cell responses and consequently B cell depletion could exacerbate GVHD. Patients with B cell lymphomas undergo allogeneic hematopoietic stem cell transplantation (alloSCT) and many are B-cell-deficient due to prior Rituximab. We therefore studied the role of recipient B cells in MHC-matched murine models of CD8- and CD4-mediated GVHD by using recipients genetically deficient in B cells and with antibody-mediated depletion of host B cells. In both CD4-and CD8-dependent models, B cell deficient recipients developed clinical and pathologic GVHD. However, although CD8-mediated GVHD was clinically less severe in hosts genetically deficient in B cells, it was unaffected in anti-CD20-treated recipients. These data indicate that recipient B cells are not important initiators of GVHD and that efforts to prevent GVHD by APC depletion should focus on other APC subsets.

As socialism with Chinese characteristics enters a new age, thought-politics education has also entered a new phase of development. Facing new opportunities and challenges, attaching importance to quality, pursuing quality, and improving quality have become the key directions for the development of thought-politics education. In the paper, a CNN-BiLSTM-based recommendation algorithm is proposed and combined with AI-related algorithms to be used in the task of improving thought-politics education. First, deep feature extraction in temporal and spatial dimensions by using LSTM and convolutional networks, respectively; then, by using multiscale attention fusion mechanisms to enhance the expressiveness of the features and make recommendations with the help of multilayer perceptron. Through extensive experiments, it is verified that the model has higher recommendation performance in this paper while maintaining higher real-time performance. It is tested on real data sets to verify that the model in the paper has better robustness.