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类风湿性关节炎患者T细胞亚群中miRNA表达的综合分析揭示了初始和记忆性调节性T细胞的特定特征。

Comprehensive analysis of miRNA expression in T-cell subsets of rheumatoid arthritis patients reveals defined signatures of naive and memory Tregs.

作者信息

Smigielska-Czepiel K, van den Berg A, Jellema P, van der Lei R J, Bijzet J, Kluiver J, Boots A M H, Brouwer E, Kroesen B-J

机构信息

1] Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands [2] Groningen Research Initiative on Healthy Ageing and Immune Longevity (GRAIL), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Genes Immun. 2014 Mar;15(2):115-25. doi: 10.1038/gene.2013.69. Epub 2014 Jan 9.

Abstract

Disturbed expression of microRNAs (miRNAs) in regulatory T cells (Tregs) leads to development of autoimmunity in experimental mouse models. However, the miRNA expression signature characterizing Tregs of autoimmune diseases, such as rheumatoid arthritis (RA) has not been determined yet. In this study, we have used a microarray approach to comprehensively analyze miRNA expression signatures of both naive Tregs (CD4+CD45RO-CD25++) and memory Tregs (CD4+CD45RO+CD25+++), as well as conventional naive (CD4+CD45RO-CD25-) and memory (CD4+CD45RO+CD25-) T cells (Tconvs) derived from peripheral blood of RA patients and matched healthy controls. Differential expression of selected miRNAs was validated by TaqMan-based quantitative reverse transcription-PCR. We found a positive correlation between increased expression of miR-451 in T cells of RA patients and disease activity score (DAS28), erythrocyte sedimentation rate levels and serum levels of interleukin-6. Moreover, we found characteristic, disease- and treatment-independent, global miRNA expression signatures defining naive Tregs, memory Tregs, naive Tconvs and memory Tconvs. The analysis allowed us to define miRNAs characteristic for a general naive phenotype (for example, miR-92a) and a general memory phenotype (for example, miR-21, miR-155). Importantly, the analysis allowed us to define miRNAs that are specifically expressed in both naive and memory Tregs, defining as such miRNA signature characterizing the Treg phenotype (that is, miR-146a, miR-3162, miR-1202, miR-1246 and miR-4281).

摘要

调节性T细胞(Tregs)中微小RNA(miRNAs)表达紊乱会导致实验小鼠模型中自身免疫性疾病的发生。然而,尚未确定类风湿关节炎(RA)等自身免疫性疾病中Tregs的miRNA表达特征。在本研究中,我们采用微阵列方法全面分析了来自RA患者外周血及匹配健康对照的初始Tregs(CD4 + CD45RO - CD25 ++)和记忆Tregs(CD4 + CD45RO + CD25 +++)以及传统初始(CD4 + CD45RO - CD25 -)和记忆(CD4 + CD45RO + CD25 -)T细胞(Tconvs)的miRNA表达特征。通过基于TaqMan的定量逆转录 - PCR验证了所选miRNAs的差异表达。我们发现RA患者T细胞中miR - 451表达增加与疾病活动评分(DAS28)、红细胞沉降率水平及白细胞介素 - 6血清水平呈正相关。此外,我们发现了定义初始Tregs、记忆Tregs、初始Tconvs和记忆Tconvs的特征性、与疾病及治疗无关的整体miRNA表达特征。该分析使我们能够确定一般初始表型(例如miR - 92a)和一般记忆表型(例如miR - 21、miR - 155)所特有的miRNAs。重要的是,该分析使我们能够确定在初始和记忆Tregs中均特异性表达的miRNAs,从而确定表征Treg表型的miRNA特征(即miR - 146a、miR - 3162、miR - 1202、miR - 1246和miR - 4281)。

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