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类风湿关节炎中的长链非编码RNA

Long non-coding RNAs in rheumatoid arthritis.

作者信息

Li Zheng, Li Xingye, Jiang Chao, Qian Wenwei, Tse Gary, Chan Matthew T V, Wu William K K

机构信息

Department of Orthopedics Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Department of Orthopedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, Jishuitan Orthopaedic College of Tsinghua University, Beijing, China.

出版信息

Cell Prolif. 2018 Feb;51(1). doi: 10.1111/cpr.12404. Epub 2017 Nov 7.

Abstract

Rheumatoid arthritis, a disabling autoimmune disease, is associated with altered gene expression in circulating immune cells and synovial tissues. Accumulating evidence has suggested that long non-coding RNAs (lncRNAs), which modulate gene expression through multiple mechanisms, are important molecules involved in immune and inflammatory pathways. Importantly, many studies have reported that lncRNAs can be utilized as biomarkers for disease diagnosis and prognostication. Recently, dysregulation of lncRNAs in rheumatoid arthritis and other autoimmune diseases has been revealed. Experimental studies also confirmed their crosstalk with matrix metalloproteinases, nuclear factor-κB signalling and T-cell response pertinent to autoimmunity and inflammation. Circulating lncRNAs, such as HOTAIR, differentiated patients with rheumatoid arthritis from healthy subjects. Taken together, lncRNAs are good candidates as biomarkers and therapeutic targets in rheumatoid arthritis. Further investigation on in vivo delivery of these regulatory molecules and large-cohort validation of their clinical applicability may be useful.

摘要

类风湿性关节炎是一种致残性自身免疫性疾病,与循环免疫细胞和滑膜组织中的基因表达改变有关。越来越多的证据表明,长链非编码RNA(lncRNA)通过多种机制调节基因表达,是参与免疫和炎症途径的重要分子。重要的是,许多研究报告称lncRNA可作为疾病诊断和预后的生物标志物。最近,已揭示类风湿性关节炎和其他自身免疫性疾病中lncRNA的失调。实验研究也证实了它们与基质金属蛋白酶、核因子-κB信号传导以及与自身免疫和炎症相关的T细胞反应之间的相互作用。循环lncRNA,如HOTAIR,可将类风湿性关节炎患者与健康受试者区分开来。综上所述,lncRNA是类风湿性关节炎中作为生物标志物和治疗靶点的良好候选者。对这些调节分子的体内递送进行进一步研究以及对其临床适用性进行大样本队列验证可能会有所帮助。

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