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高敏多重蛋白芯片在系统性自身免疫疾病中进行全面自身抗体谱分析。

Comprehensive autoantibody profiling in systemic autoimmunity by a highly-sensitive multiplex protein array.

机构信息

Department of Dermatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.

ProteoBridge Corporation, Tokyo, Japan.

出版信息

Front Immunol. 2023 Aug 28;14:1255540. doi: 10.3389/fimmu.2023.1255540. eCollection 2023.

DOI:10.3389/fimmu.2023.1255540
PMID:37701440
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10493387/
Abstract

Comprehensive autoantibody evaluation is essential for the management of autoimmune disorders. However, conventional methods suffer from poor sensitivity, low throughput, or limited availability. Here, using a proteome-wide human cDNA library, we developed a novel multiplex protein assay (autoantibody array assay; A-Cube) covering 65 antigens of 43 autoantibodies that are associated with systemic sclerosis (SSc) and polymyositis/dermatomyositis (PM/DM). The performance of A-Cube was validated against immunoprecipitation and established enzyme-linked immunosorbent assay. Further, through an evaluation of serum samples from 357 SSc and 172 PM/DM patients, A-Cube meticulously illustrated a diverse autoantibody landscape in these diseases. The wide coverage and high sensitivity of A-Cube also allowed the overlap and correlation analysis between multiple autoantibodies. Lastly, reviewing the cases with distinct autoantibody profiles by A-Cube underscored the importance of thorough autoantibody detection. Together, these data highlighted the utility of A-Cube as well as the clinical relevance of autoantibody profiles in SSc and PM/DM.

摘要

全面的自身抗体评估对于自身免疫性疾病的治疗至关重要。然而，传统方法存在灵敏度低、通量低或可用性有限等问题。在这里，我们使用一个包含 43 种自身抗体的 65 种抗原的人类全长 cDNA 文库，开发了一种新的多重蛋白检测方法（自身抗体微阵列检测；A-Cube）。该方法通过免疫沉淀和已建立的酶联免疫吸附试验对 A-Cube 的性能进行了验证。此外，通过对 357 例 SSc 和 172 例 PM/DM 患者的血清样本进行评估，A-Cube 详细描绘了这些疾病中多样化的自身抗体图谱。A-Cube 的广泛覆盖范围和高灵敏度还允许对多种自身抗体进行重叠和相关性分析。最后，通过 A-Cube 对具有不同自身抗体图谱的病例进行回顾性分析，强调了彻底检测自身抗体的重要性。总之，这些数据突出了 A-Cube 的实用性以及在 SSc 和 PM/DM 中自身抗体图谱的临床相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/452ce19d89bc/fimmu-14-1255540-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/b106d8ccc7ad/fimmu-14-1255540-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/43787f68fc00/fimmu-14-1255540-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/c51b7dbfb377/fimmu-14-1255540-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/0a072cb3d72c/fimmu-14-1255540-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/cdedf5a1516f/fimmu-14-1255540-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/4e701f7b9478/fimmu-14-1255540-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/452ce19d89bc/fimmu-14-1255540-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/b106d8ccc7ad/fimmu-14-1255540-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/43787f68fc00/fimmu-14-1255540-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/c51b7dbfb377/fimmu-14-1255540-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/0a072cb3d72c/fimmu-14-1255540-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/cdedf5a1516f/fimmu-14-1255540-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/4e701f7b9478/fimmu-14-1255540-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/10493387/452ce19d89bc/fimmu-14-1255540-g007.jpg

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