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Autoantigen Microarray for High-throughput Autoantibody Profiling in Systemic Lupus Erythematosus 被引量:6
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作者 Honglin Zhu Hui Luo +2 位作者 Mei Yan Xiaoxia Zuo Quan-Zhen Li 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2015年第4期210-218,共9页
Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by the production of autoantibodies to a broad range of self-antigens. Profiling the autoantibody repertoire using array-based technol... Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by the production of autoantibodies to a broad range of self-antigens. Profiling the autoantibody repertoire using array-based technology has emerged as a powerful tool for the identification of biomarkers in SLE and other autoimmune diseases. Proteomic microarray has the capacity to hold large number of self-antigens on a solid surface and serve as a high-throughput screening method for the determination of autoantibody specificities. The autoantigen arrays carrying a wide variety of self-antigens, such as cell nuclear components (nucleic acids and associated proteins), cytoplas- mic proteins, phospholipid proteins, cell matrix proteins, mucosal/secreted proteins, glomeruli, and other tissue-specific proteins, have been used for screening of autoantibody specificities associated with different manifestations of SLE. Arrays containing synthetic peptides and molecular modified proteins are also being utilized for identification of autoantibodies targeting to special antigenic epi- topes. Different isotypes of autoantibodies, including IgG, IgM, IgA, and IgE, as well as other Ig subtypes, can be detected simultaneously with multi-color labeled secondary antibodies. Serum and plasma are the most common biologic materials for autoantibody detection, but other body fluids such as cerebrospinal fluid, synovial fluid, and saliva can also be a source of autoantibody detection. 展开更多
关键词 Systemic lupus erythemato-sus(SLE) autoantibody profiling Proteomic microarray BIOMARKER High-throughput assay
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Serological diagnostics of myocardium diseases based on multivariate analysis of cardiotrophic autoantibodies’ profiles
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作者 Olga Moiseeva Lubov Mitrofanova +4 位作者 Elena Karelkina Dmitry Zverev Dmitry Lebedev Serge Skurydin Alexander Poletaev 《Open Journal of Immunology》 2012年第1期49-58,共10页
We analyzed profiles of IgG autoantibodies to 16 cardiac specific proteins and their main immunogenic region B-epitopes, in the groups of already verified cardiac pathology: acute and chronic lymphocytic myocarditis, ... We analyzed profiles of IgG autoantibodies to 16 cardiac specific proteins and their main immunogenic region B-epitopes, in the groups of already verified cardiac pathology: acute and chronic lymphocytic myocarditis, ST elevation myocardial infarction, postinfarction remodeling of myocardium, dilated cardiomyopathy and in healthy controls along with patients, suffered from gastritis (to evaluate immune response against cross-reactive B-epitopes). AAB specific patterns allowed us to distinguish cases among themselves by means of multiparametrical canonical discriminant analysis in approximately 95% of cases. Positive predictive value in the group of MYO reached 95%, in the STEMI—89%, in the PIR—99%, in the DCM—99%, in the group of gastritis—88%. Principal component analysis of mentioned cardiac pathologies extended current clinical knowledge of their immunopathogenesis. Obtained data markedly proved a usability of serum AAB profiling for non invasive screening, differential diagnostics and working hypothesis composition. 展开更多
关键词 autoantibody AUTOIMMUNITY B-Epitope autoantibody profiling CARDIOLOGY Principal component Analysis
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基于抗体的特发性炎性肌病患者外周血基因表达谱分析
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作者 李牧原 王莉 +2 位作者 李全贞 罗卉 张华莉 《中华风湿病学杂志》 CAS CSCD 2024年第1期15-21,I0004-I0006,共10页
目的通过对抗黑色素瘤分化相关基因5(MDA5)抗体阳性和抗Jo-1抗体阳性的肌炎患者外周血单个核细胞(PBMCs)进行基因表达谱的分析,以阐明特发性炎性肌病亚型的病理生理学机制。方法①用Illumina HT-12 v4表达谱芯片对12例抗MDA5抗体阳性和1... 目的通过对抗黑色素瘤分化相关基因5(MDA5)抗体阳性和抗Jo-1抗体阳性的肌炎患者外周血单个核细胞(PBMCs)进行基因表达谱的分析,以阐明特发性炎性肌病亚型的病理生理学机制。方法①用Illumina HT-12 v4表达谱芯片对12例抗MDA5抗体阳性和16例抗Jo-1抗体阳性的肌炎患者及43名健康对照者的PBMCs进行基因表达谱筛查和分析。应用非配对t检验,经Benjamini-Hochberg校正,选取基因表达信号倍数变化的绝对值≥2且校正P<0.05为差异表达基因。将差异基因集进行基因本体论数据库(GO)功能富集分析和京都基因和基因组百科全书(KEGG)通路富集分析,以P<0.05作为显著性富集的阈值。②用实时荧光聚合酶链反应(real time-PCR)对差异表达基因进行验证,采用Kolmogorov-Smirnov检验对连续型变量进行正态性检验,符合正态分布且方差齐性,采用单因素方差分析,不符合正态分布则用Kruskal-Wallis检验,P<0.05为差异有统计学意义。结果①分析抗MDA5抗体和抗Jo-1抗体阳性患者PBMCs的基因表达谱,发现2种肌炎亚型患者PBMCs的基因表达存在明显差异。抗MDA5抗体阳性患者特异性表达上调的差异基因为407个,GO功能富集分析主要富集于固有免疫应答(P<0.001)、病毒应答(P<0.001)和干扰素应答(P<0.001)等生物过程,KEGG通路富集分析主要富集于病毒感染相关通路(P<0.001)、视黄酸诱导基因Ⅰ(RIG-Ⅰ)样受体通路(P<0.001)和Toll样受体通路(P=0.002)等。抗MDA5抗体阳性组中特异性下调的259个差异基因,GO功能富集分析主要富集于免疫应答(P=0.006)、TGF-β受体信号通路(P=0.010)和自然杀伤细胞介导的免疫(P=0.015)等生物过程。抗Jo-1抗体阳性患者特异性表达上调的差异基因有162个,GO功能富集分析主要富集于核小体组装(P<0.001)、细胞增长的负调控(P=0.001)、凋亡负调控(P=0.004)和黏膜固有免疫(P=0.012)等生物过程,KEGG通路富集分析主要富集于代谢� 展开更多
关键词 肌炎 自身抗体 基因表达谱 芯片分析技术 干扰素刺激基因 RIG-Ⅰ样受体
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