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利用人类蛋白质片段阵列进行多发性硬化症的自身抗体分析。

Autoantibody profiling in multiple sclerosis using arrays of human protein fragments.

机构信息

SciLifeLab Stockholm, School of Biotechnology, KTH-Royal Institute of Technology, Stockholm, Sweden.

出版信息

Mol Cell Proteomics. 2013 Sep;12(9):2657-72. doi: 10.1074/mcp.M112.026757. Epub 2013 Jun 3.

DOI:10.1074/mcp.M112.026757
PMID:23732997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3769337/
Abstract

Profiling the autoantibody repertoire with large antigen collections is emerging as a powerful tool for the identification of biomarkers for autoimmune diseases. Here, a systematic and undirected approach was taken to screen for profiles of IgG in human plasma from 90 individuals with multiple sclerosis related diagnoses. Reactivity pattern of 11,520 protein fragments (representing ∼38% of all human protein encoding genes) were generated on planar protein microarrays built within the Human Protein Atlas. For more than 2,000 antigens IgG reactivity was observed, among which 64% were found only in single individuals. We used reactivity distributions among multiple sclerosis subgroups to select 384 antigens, which were then re-evaluated on planar microarrays, corroborated with suspension bead arrays in a larger cohort (n = 376) and confirmed for specificity in inhibition assays. Among the heterogeneous pattern within and across multiple sclerosis subtypes, differences in recognition frequencies were found for 51 antigens, which were enriched for proteins of transcriptional regulation. In conclusion, using protein fragments and complementary high-throughput protein array platforms facilitated an alternative route to discovery and verification of potentially disease-associated autoimmunity signatures, that are now proposed as additional antigens for large-scale validation studies across multiple sclerosis biobanks.

摘要

利用大型抗原库对自身抗体组进行分析,正在成为鉴定自身免疫性疾病生物标志物的一种强大工具。在这里,我们采用系统的、无导向的方法,对 90 名多发性硬化症相关诊断患者的人血浆中的 IgG 进行了筛选。在人类蛋白质图谱中构建的平面蛋白微阵列上生成了 11520 个蛋白片段(代表约 38%的人类蛋白编码基因)的反应模式。在 2000 多种抗原中观察到 IgG 的反应性,其中 64%仅在单个个体中发现。我们使用多发性硬化症亚组之间的反应分布选择了 384 种抗原,然后在平面微阵列上重新评估,在更大的队列(n=376)中用悬浮珠阵列进行验证,并在抑制实验中验证其特异性。在多发性硬化症亚型内和跨亚型的异质性模式中,发现了 51 种抗原的识别频率存在差异,这些抗原富含转录调节蛋白。总之,使用蛋白片段和互补的高通量蛋白阵列平台,为发现和验证潜在的与疾病相关的自身免疫特征提供了另一种途径,这些特征现在被提议作为在多个多发性硬化症生物库中进行大规模验证研究的额外抗原。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/2ba4fd8896f1/zjw0091345370008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/3e79369b01e5/zjw0091345370001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/511e9d0d1ad0/zjw0091345370004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/06622fe68834/zjw0091345370005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/8b5e22f90d03/zjw0091345370006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/6a6ee2187a81/zjw0091345370007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/2ba4fd8896f1/zjw0091345370008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/3e79369b01e5/zjw0091345370001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/bc2d02fbd11a/zjw0091345370002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/06dcf8be02cb/zjw0091345370003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/511e9d0d1ad0/zjw0091345370004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/06622fe68834/zjw0091345370005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/8b5e22f90d03/zjw0091345370006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cbf/3769337/6a6ee2187a81/zjw0091345370007.jpg
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