Serum microRNA Profiles Serve as Novel Biomarkers for Autoimmune Diseases.
Serum microRNA Profiles Serve as Novel Biomarkers for Autoimmune Diseases.
复制标题
血清 microRNA 谱可作为自身免疫性疾病的新型生物标志物
DOI:
10.3389/fimmu.2018.02381
复制
发表时间:
2018
影响因子:
7.3
通讯作者:
Chen X
中科院分区:
文献类型:
--
作者:
Jin F;Hu H;Xu M;Zhan S;Wang Y;Zhang H;Chen X
Autoimmune diseases involve a complex dysregulation of immunity. Autoimmune diseases include many members [e.g., rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE)], and most of them are classified according to what organs and tissues are targeted by the damaging immune response. Many studies have focused on finding specific biomarkers for single autoimmune diseases, but so far, there are no universal biomarkers for detecting almost all autoimmune diseases. Serum miRNAs have served as potential biomarkers for detecting various diseases. The purpose of this study was to find a universal biomarker for diagnosing autoimmune diseases. Regulatory T cells (Tregs) play a crucial role in protecting an individual from autoimmunity, and depletion of Tregs in mice is considered a representative animal model of autoimmune disease. Two mouse models for Treg depletion, in which Treg was depleted by CD25mAb (in C57 mice) or by diphtheria toxin (DT) (in Foxp3DTR mice), were investigated, and 381 miRNAs were identified in the serum of mice with Treg depletion. A distinctive circulating miRNA profile was identified in Treg-depleted mice and in patients with autoimmune disease. QRT-PCR confirmation and ROC curve analysis determined that six miRNAs (miR-551b, miR-448, miR-9, miR-124, miR-148, and miR-34c) in the Treg-depleted mouse models and three miRNAs [miR-551b (specificity 73.5%, sensitivity 88.4%), miR-448 (specificity 82.4%, sensitivity 91.3%), and miR-124 (specificity 76.5%, sensitivity 91.3%)] in patients with RA, SLE, Sjogren's syndrome (SS), and ulcerative colitis (UC) could serve as valuable specific biomarkers. These circulating miRNAs may represent potential universal biomarkers for autoimmune diseases diagnosis and prognosis.
登录
查看更多内容
影响因子:
4.4
作者:
Ochs, Hans D.;Gambineri, Eleonora;Torgerson, Troy R.
通讯作者:
Torgerson, Troy R.
影响因子:
21.1
作者:
Diao W;Jin F;Wang B;Zhang CY;Chen J;Zen K;Li L
通讯作者:
Li L
DOI:
10.1073/pnas.0804549105
发表时间:
2008-07-29
影响因子:
11.1
作者:
Mitchell, Patrick S.;Parkin, Rachael K.;Tewari, Muneesh
通讯作者:
Tewari, Muneesh
影响因子:
44.1
作者:
Chen, Xi;Ba, Yi;Zhang, Chen-Yu
通讯作者:
Zhang, Chen-Yu
影响因子:
11.5
作者:
Fecci, Peter E.;Sweeney, Alison E.;Sampson, John H.
通讯作者:
Sampson, John H.