Cellular Dynamics at the Synovium-Bone interface in RA

RA 滑膜-骨界面的细胞动力学

• 批准号: 9276491
• 负责人: Jennifer Howitt Anolik
• 金额: $ 34.01万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-24 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9276491
• 关键词: Anatomy; Area; B-Lymphocytes; Bioinformatics; Biological Markers; Biological Response Modifier Therapy; Biopsy; Biopsy Specimen; Bone Marrow; Bone Resorption; Bone Tissue; CD14 gene; CD19 gene; CD4 Positive T Lymphocytes; Cell Communication; Cell Count; Cell Separation; Cell physiology; Cells; Clinical; Collaborations; Computer software; Cytokine Activation; Cytokine Network Pathway; Data; Degenerative polyarthritis; Disease; Equilibrium; Failure; Functional disorder; Goals; Health; Histology; Homeostasis; Hypersensitivity; Image; Image Analysis; Immune; Immunohistochemistry; Immunology; Individual; Infiltration; Informatics; Joints; Laboratories; Lasers; Lead; Link; Location; Lymphatic; Lymphocyte; Mediating; Medicine; Methods; Musculoskeletal; Musculoskeletal Diseases; Nature; Needle biopsy procedure; Operative Surgical Procedures; Orthopedics; Osteoblasts; Osteoclasts; Osteogenesis; Pathogenesis; Pathway interactions; Patients; Pharmaceutical Preparations; Phase; Population; Procedures; RNA; RNA Sequences; Research; Rheumatoid Arthritis; Rheumatology; Role; Sampling; Seminal; Signal Pathway; Site; Slide; Sorting - Cell Movement; Specimen; Stream; Sushi Domain; Synovial Membrane; System; T-Lymphocyte; Techniques; Technology; Tissues; Ultrasonography; Universities; bone; bone cell; bone erosion; cohort; data management; digital; effective therapy; imaging system; individualized medicine; insight; joint destruction; joint injury; monocyte; new technology; novel; patient population; patient stratification; patient subsets; peripheral blood; response; sound; tool; transcriptome; transcriptome sequencing; treatment response; treatment strategy; validation studies

 DESCRIPTION (provided by applicant): The focus of this Combined Clinical and Technology Research Site (CTRS) application is to apply novel histomorphometric and transcriptome analytics to define the interplay between lymphocytes (B cells and T cells) and bone homeostasis in rheumatoid arthritis (RA) within target tissue and well-characterized patient populations. We plan to develop and optimize strategies to categorize subsets of disease, define biomarkers of treatment response, and identify novel treatment targets. Research to date in RA has focused on defining abnormalities in individual immune cell populations or signaling pathways involved in osteoclast (OC) differentiation and activation or osteoblast (OB) function, but very few groups have provided an integrated assessment of the multiple relevant cell populations in the disease and the interactions between the lymphocyte and bone compartments in target tissue. Although prior approaches have yielded important clues regarding immune pathogenesis, major limitations in the field include the lack of biomarkers to target appropriate treatment strategies and the failure of currently available treatments to achieve low disease activity and/or limit progressive joint damage in the majority of patients. Our group has made multiple observations linking B cells to joint damage including the efficacy of B cell depletion as a treatment and the presence of B cell aggregates in rarely studied target tissue including the synovium, subchondral bone, and bone marrow (BM) where OBs and OCs develop, associated with T cell and OC activation and more recently OB dysfunction. Additional seminal observations by our group have defined monocyte dysfunction in RA and characterized key down-stream signaling pathways in OC differentiation and activation. However, the role and precise mechanisms of aberrant B-T cell interactions and other pathways (including monocyte and cytokine activation) in mediating joint destruction in the target tissue are relatively unexplored and a ripe area for identification of new treatment targets. This assessment to date has been hampered by lack of access to relevant target tissue and the need for novel technologic approaches to better define cellular and cytokine networks. We can surmount these limitations given a unique collaboration between Rheumatology and Orthopedics with access to unprecedented surgical and biopsy samples from untreated RA patients and powerful technologies within the Center for Musculoskeletal Research (CMSR) at the University of Rochester (UR) already well-validated for the study of musculoskeletal diseases. In this proposal we will (1) Integrate clinical, laboratory, and ultra-sound (US) data on treated and untreated RA patients and establish optimal methods for acquisition of synovial tissue by US-guided needle biopsy, (2) Characterize the localization of relevant immune and bone cells in the joint using novel histomorphometric tools for automated quantitation, and (3) Define cell function by RNA sequencing of discrete sorted and captured cell populations in synovium. The powerful dual approach of characterizing the location of key cell populations at the bone-pannus junction and defining cell function within this 3D milieu using novel histomorphometric tools and RNA sequencing of discrete cell populations will better reflect underlying disease pathogenesis, allowing more precise patient stratification and identification of novel targets.

 描述（由申请人提供）：该联合临床和技术研究中心 (CTRS) 申请的重点是应用新型组织形态计量学和转录组分析来定义类风湿性关节炎 (RA) 中淋巴细胞（B 细胞和 T 细胞）与骨稳态之间的相互作用）在目标组织和特征明确的患者群体中，我们计划开发和优化策略来对疾病子集进行分类，定义治疗反应的生物标志物，并确定迄今为止 RA 的研究重点。定义个体免疫细胞群或参与破骨细胞（OC）分化和激活或成骨细胞（OB）功能的信号通路的异常，但很少有研究小组对疾病中的多个相关细胞群以及淋巴细胞之间的相互作用提供综合评估尽管先前的方法已经提供了有关免疫发病机制的重要线索，但该领域的主要局限性包括缺乏针对适当治疗策略的生物标志物以及当前可用的治疗无法实现低疾病活动性和/或限制进展。大多数人的关节损伤我们的病人。 该小组进行了多项观察，将 B 细胞与关节损伤联系起来，包括 B 细胞去除作为治疗的功效，以及在很少研究的靶组织中存在 B 细胞聚集体，包括滑膜、软骨下骨和骨髓 (BM)，其中 OB 和 OC 存在与 T 细胞和 OC 激活以及最近的 OB 功能障碍相关的其他开创性观察已经定义了 RA 中的单核细胞功能障碍，并表征了 OC 分化和激活中的关键下游信号通路。异常 B-T 细胞相互作用和介导靶组织关节破坏的其他途径（包括单核细胞和细胞因子激活）的精确机制相对尚未探索，并且是识别新治疗靶点的成熟领域，迄今为止，该评估因缺乏途径而受到阻碍。鉴于风湿病学和骨科之间的独特合作，可以获取来自未经治疗的 RA 患者和患者的前所未有的手术和活检样本，我们可以克服这些限制。罗切斯特大学 (UR) 肌肉骨骼研究中心 (CMSR) 的强大技术已经在肌肉骨骼疾病研究中得到了充分验证。在这项提案中，我们将 (1) 整合临床、实验室和超声（美国）。治疗和未治疗的 RA 患者的数据，并建立通过超声引导的针活检采集滑膜组织的最佳方法，(2) 使用新型组织形态计量学表征关节中相关免疫和骨细胞的定位自动定量工具，以及 (3) 通过对滑膜中离散分选和捕获的细胞群进行 RNA 测序来定义细胞功能，这是一种强大的双重方法，可表征骨-血管翳交界处关键细胞群的位置，并在此 3D 中定义细胞功能。使用新型组织形态计量工具和离散细胞群的 RNA 测序的环境将更好地反映潜在的疾病发病机制，从而允许更精确的患者分层和新靶标的识别。