High mobility group box 1 (HMGB1) is a nuclear protein that can bind to DNA and act as a co-factor for gene transcription. When released into extracellular fluid, it plays a proinflammatory role by acting as a damage-...High mobility group box 1 (HMGB1) is a nuclear protein that can bind to DNA and act as a co-factor for gene transcription. When released into extracellular fluid, it plays a proinflammatory role by acting as a damage-associated molecular pattern molecule (DAMP) (also known as an alarmin) to initiate innate immune responses by activating multiple cell surface receptors such as the receptor for advanced glycation end-products (RAGE) and toll-like receptors (TLRs), TLR2, TLR4 or TLR9. This proinflammatory role is now considered to be important in the pathogenesis of a wide range of kidney diseases whether they result from hemodynamic changes, renal tubular epithelial cell apoptosis, kidney tissue fibrosis or inflammation. This review summarizes our current understanding of the role of HMGB1 in kidney diseases and how the HMGB1-mediated signaling pathway may constitute a new strategy for the treatment of kidney diseases. (C) 2016 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.展开更多
Background:The tumor microenvironment(TME)performs a crucial function in the tumorigenesis and response to immunotherapies of clear cell renal cell carcinoma(ccRCC).However,a lack of recognized pre-clinical TME-based ...Background:The tumor microenvironment(TME)performs a crucial function in the tumorigenesis and response to immunotherapies of clear cell renal cell carcinoma(ccRCC).However,a lack of recognized pre-clinical TME-based risk models poses a great challenge to investigating the risk factors correlated with prognosis and treatment responses for patients with ccRCC.Methods:Stromal and immune contexture were assessed to calculate the TMErisk score of a large sample of patients with ccRCC from public and real-world cohorts using machine-learning algorithms.Next,analyses for prognostic efficacy,correlations with clinicopathological features,functional enrichment,immune cell distribu-tions,DNA variations,immune response,and heterogeneity were performed and validated.Results:Clinical hub genes,including INAFM2,SRPX,DPYSL3,VSIG4,APLNR,FHL5,A2M,SLFN11,ADAMTS4,IFITM1,NOD2,CCR4,HLA-DQB2,and PLAUR,were identified and incorporated to develop the TMErisk signature.Patients in the TME high risk group(category)exhibited a considerably grim prognosis,and the TMErisk model was shown to independently function as a risk indicator for the overall survival(OS)of ccRCC patients.Expression levels of immune checkpoint genes were substantially increased in TME high risk group,while those of the human leukocyte antigen(HLA)family genes were prominently decreased.In addition,tumors in the TME high group showed significantly high infiltration levels of tumor-infiltrated lymphocytes,including M2 macrophages,CD8+T cells,B cells,and CD4+T cells.In heterogeneity analysis,more frequent somatic mutations,including pro-tumorigenic BAP1 and PBRM1,were observed in the TME high group.Importantly,19.3%of patients receiving immunotherapies in the TME high group achieved complete or partial response compared with those with immune tolerance in the TME low group,suggesting that TMErisk prominently differentiates prognosis and responses to immunotherapy for patients with ccRCC.Conclusions:We first established the TMErisk score of ccRCC using machine-learning al展开更多
This paper is mainly discussing about the significance of the Living Educational Theory Action Research raised by Dr. Jack Whitehead, also it gives a clear distinction between traditional AR Theory and that in the LET...This paper is mainly discussing about the significance of the Living Educational Theory Action Research raised by Dr. Jack Whitehead, also it gives a clear distinction between traditional AR Theory and that in the LETAR. Because of the distinctive features like "individual", "living" and "practical" characteristics been embodied in the Living Educational Theory, it can be very well applied in the character education of improvement in the individual and group practice, therefore, implementation of the "New Curriculum" as a case to prove what has been discussed.展开更多
基金funded by the New Xiangya Talent Project of the Third Xiangya Hospital of Central South University(No.20150218)Program for New Century Excellent Talents in University(NCET-13-0605)+1 种基金the National Natural Science Foundation of China(No.81102512)Hunan Provincial Natural Science Foundation of China(No.14JJ7001)
文摘High mobility group box 1 (HMGB1) is a nuclear protein that can bind to DNA and act as a co-factor for gene transcription. When released into extracellular fluid, it plays a proinflammatory role by acting as a damage-associated molecular pattern molecule (DAMP) (also known as an alarmin) to initiate innate immune responses by activating multiple cell surface receptors such as the receptor for advanced glycation end-products (RAGE) and toll-like receptors (TLRs), TLR2, TLR4 or TLR9. This proinflammatory role is now considered to be important in the pathogenesis of a wide range of kidney diseases whether they result from hemodynamic changes, renal tubular epithelial cell apoptosis, kidney tissue fibrosis or inflammation. This review summarizes our current understanding of the role of HMGB1 in kidney diseases and how the HMGB1-mediated signaling pathway may constitute a new strategy for the treatment of kidney diseases. (C) 2016 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.
基金supported by grants from the National Natural Science Foundation of China(grant numbers:81802525 and 82172817)the Natural Science Foundation of Shanghai(grant number:20ZR1413100)+3 种基金Beijing Xisike Clinical Oncology Research Foundation(grant number:Y-HR2020MS-0948)the National Key Research and Development Project(grant number:2019YFC1316005)the Shanghai“Science and Technology Innovation Action Plan”Medical Innovation Research Project(grant number:22Y11905100)the Shanghai Anti-Cancer Association Eyas Project(grant numbers:SACA-CY21A06 and SACA-CY21B01).
文摘Background:The tumor microenvironment(TME)performs a crucial function in the tumorigenesis and response to immunotherapies of clear cell renal cell carcinoma(ccRCC).However,a lack of recognized pre-clinical TME-based risk models poses a great challenge to investigating the risk factors correlated with prognosis and treatment responses for patients with ccRCC.Methods:Stromal and immune contexture were assessed to calculate the TMErisk score of a large sample of patients with ccRCC from public and real-world cohorts using machine-learning algorithms.Next,analyses for prognostic efficacy,correlations with clinicopathological features,functional enrichment,immune cell distribu-tions,DNA variations,immune response,and heterogeneity were performed and validated.Results:Clinical hub genes,including INAFM2,SRPX,DPYSL3,VSIG4,APLNR,FHL5,A2M,SLFN11,ADAMTS4,IFITM1,NOD2,CCR4,HLA-DQB2,and PLAUR,were identified and incorporated to develop the TMErisk signature.Patients in the TME high risk group(category)exhibited a considerably grim prognosis,and the TMErisk model was shown to independently function as a risk indicator for the overall survival(OS)of ccRCC patients.Expression levels of immune checkpoint genes were substantially increased in TME high risk group,while those of the human leukocyte antigen(HLA)family genes were prominently decreased.In addition,tumors in the TME high group showed significantly high infiltration levels of tumor-infiltrated lymphocytes,including M2 macrophages,CD8+T cells,B cells,and CD4+T cells.In heterogeneity analysis,more frequent somatic mutations,including pro-tumorigenic BAP1 and PBRM1,were observed in the TME high group.Importantly,19.3%of patients receiving immunotherapies in the TME high group achieved complete or partial response compared with those with immune tolerance in the TME low group,suggesting that TMErisk prominently differentiates prognosis and responses to immunotherapy for patients with ccRCC.Conclusions:We first established the TMErisk score of ccRCC using machine-learning al
文摘This paper is mainly discussing about the significance of the Living Educational Theory Action Research raised by Dr. Jack Whitehead, also it gives a clear distinction between traditional AR Theory and that in the LETAR. Because of the distinctive features like "individual", "living" and "practical" characteristics been embodied in the Living Educational Theory, it can be very well applied in the character education of improvement in the individual and group practice, therefore, implementation of the "New Curriculum" as a case to prove what has been discussed.
