Systemic lupus erythematosus（SLE） is a typical autoimmune disease. Lymphotoxin β receptor（LTβR） signaling plays an important role in autoimmune inflammations. LTβR-Ig fusion protein, LTβR blocking agent, has b...Systemic lupus erythematosus（SLE） is a typical autoimmune disease. Lymphotoxin β receptor（LTβR） signaling plays an important role in autoimmune inflammations. LTβR-Ig fusion protein, LTβR blocking agent, has been used to treat SLE, while its mechanism remains to be fully elucidated. In this study, to investigate the expression of LTβR in the T cells of SLE patients and its roles in the pathogenesis of SLE, we isolated the peripheral blood T cells of SLE patients and normal controls to detect expression of LTβR by flow cytometry and RNA assay. T cells were also stimulated with LIGHT, a ligand of LTβR, and then detected for their LTβR expressions and apoptosis by flow cytometry. Also, their expressions of inflammatory factors and receptors were determined by RNA assay. The results showed that LTβR positive cells were 22.75%±6.98% in CD3~＋ cells of SLE patients, while there were almost no LTβR positive cells in CD3~＋ cells of normal persons. Moreover, LTβR expression was remarkably higher in CD3,CD4 and CD8 positive T cells of active SLE patients than non/low active patients（all P〈0.05）, and positively correlated with increased Ig level, decreased complement level and renal damage. Moreover, the stimulation of SLE T cells with LIGHT promoted higher expression of LTβR, IL-23 R and IL-17 A, and apoptosis of T cells. In conclusion,we demonstrated a high expression of LTβR in the T cells of SLE patients which may be associated with pathogenesis of SLE.展开更多
针对社交网络以及社交用户关注主题,分析用户所在位置,在社交网络的基础上提出主题推荐模型即location-themesocial model(LTS M odel).文章主要从三个方面进行了分析,首先对主题进行分类,运用余弦相似性算法构建向量空间主题模型.其次,...针对社交网络以及社交用户关注主题,分析用户所在位置,在社交网络的基础上提出主题推荐模型即location-themesocial model(LTS M odel).文章主要从三个方面进行了分析,首先对主题进行分类,运用余弦相似性算法构建向量空间主题模型.其次,在MapReduce框架下根据位置快速构建R*-tree索引,建立空间模型,在此基础上找到基于位置和主题的社交网络模型.最后,使用标准数据集对算法进行测试,并根据准确率、召回率和F1值对其效果进行评价.R*-tree索引算法采用抽样方法快速确定空间划分函数,保证了数据对象均匀地划分到各个分区.余弦相似性算法能够快速准确地找到相似主题,并且敏感识别度较强.实验证明基于LTS Model的位置—主题推荐算法(LTRA)能够快速找到满足用户兴趣的主题并进行推荐.展开更多
文摘Systemic lupus erythematosus（SLE） is a typical autoimmune disease. Lymphotoxin β receptor（LTβR） signaling plays an important role in autoimmune inflammations. LTβR-Ig fusion protein, LTβR blocking agent, has been used to treat SLE, while its mechanism remains to be fully elucidated. In this study, to investigate the expression of LTβR in the T cells of SLE patients and its roles in the pathogenesis of SLE, we isolated the peripheral blood T cells of SLE patients and normal controls to detect expression of LTβR by flow cytometry and RNA assay. T cells were also stimulated with LIGHT, a ligand of LTβR, and then detected for their LTβR expressions and apoptosis by flow cytometry. Also, their expressions of inflammatory factors and receptors were determined by RNA assay. The results showed that LTβR positive cells were 22.75%±6.98% in CD3~＋ cells of SLE patients, while there were almost no LTβR positive cells in CD3~＋ cells of normal persons. Moreover, LTβR expression was remarkably higher in CD3,CD4 and CD8 positive T cells of active SLE patients than non/low active patients（all P〈0.05）, and positively correlated with increased Ig level, decreased complement level and renal damage. Moreover, the stimulation of SLE T cells with LIGHT promoted higher expression of LTβR, IL-23 R and IL-17 A, and apoptosis of T cells. In conclusion,we demonstrated a high expression of LTβR in the T cells of SLE patients which may be associated with pathogenesis of SLE.
文摘针对社交网络以及社交用户关注主题,分析用户所在位置,在社交网络的基础上提出主题推荐模型即location-themesocial model(LTS M odel).文章主要从三个方面进行了分析,首先对主题进行分类,运用余弦相似性算法构建向量空间主题模型.其次,在MapReduce框架下根据位置快速构建R*-tree索引,建立空间模型,在此基础上找到基于位置和主题的社交网络模型.最后,使用标准数据集对算法进行测试,并根据准确率、召回率和F1值对其效果进行评价.R*-tree索引算法采用抽样方法快速确定空间划分函数,保证了数据对象均匀地划分到各个分区.余弦相似性算法能够快速准确地找到相似主题,并且敏感识别度较强.实验证明基于LTS Model的位置—主题推荐算法(LTRA)能够快速找到满足用户兴趣的主题并进行推荐.
