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早期类风湿关节炎的分子特征可识别临床和治疗反应表型。

Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes.

机构信息

Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.

Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK; Alan Turing Institute, British Library, London NW1 2DB, UK.

出版信息

Cell Rep. 2019 Aug 27;28(9):2455-2470.e5. doi: 10.1016/j.celrep.2019.07.091.

Abstract

There is a current imperative to unravel the hierarchy of molecular pathways that drive the transition of early to established disease in rheumatoid arthritis (RA). Herein, we report a comprehensive RNA sequencing analysis of the molecular pathways that drive early RA progression in the disease tissue (synovium), comparing matched peripheral blood RNA-seq in a large cohort of early treatment-naive patients, namely, the Pathobiology of Early Arthritis Cohort (PEAC). We developed a data exploration website (https://peac.hpc.qmul.ac.uk/) to dissect gene signatures across synovial and blood compartments, integrated with deep phenotypic profiling. We identified transcriptional subgroups in synovium linked to three distinct pathotypes: fibroblastic pauci-immune pathotype, macrophage-rich diffuse-myeloid pathotype, and a lympho-myeloid pathotype characterized by infiltration of lymphocytes and myeloid cells. This is suggestive of divergent pathogenic pathways or activation disease states. Pro-myeloid inflammatory synovial gene signatures correlated with clinical response to initial drug therapy, whereas plasma cell genes identified a poor prognosis subgroup with progressive structural damage.

摘要

目前,当务之急是要阐明驱动类风湿关节炎(RA)早期向确立疾病转变的分子途径的层次结构。在此,我们报告了一项针对驱动早期 RA 进展的分子途径的全面 RNA 测序分析,比较了大量早期未经治疗的患者(即关节炎早期生物标志物研究队列,PEAC)疾病组织(滑膜)与匹配的外周血 RNA-seq。我们开发了一个数据探索网站(https://peac.hpc.qmul.ac.uk/),以剖析滑膜和血液隔室之间的基因特征,并与深入的表型分析进行整合。我们在滑膜中鉴定了与三种不同病理类型相关的转录亚群:成纤维细胞稀少免疫病理类型、富含巨噬细胞的弥漫性髓样病理类型和以淋巴细胞和髓样细胞浸润为特征的淋巴髓样病理类型。这表明存在不同的致病途径或激活疾病状态。促髓样炎症性滑膜基因特征与初始药物治疗的临床反应相关,而浆细胞基因则确定了具有进行性结构损伤的预后不良亚组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7413/6718830/b33967a0cf7c/fx1.jpg

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