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多重聚糖微阵列分析方法的开发及人血清抗聚糖IgA、IgG和IgM抗体库的比较分析

Development of a Multiplex Glycan Microarray Assay and Comparative Analysis of Human Serum Anti-Glycan IgA, IgG, and IgM Repertoires.

作者信息

Durbin Sarah V, Wright W Shea, Gildersleeve Jeffrey C

机构信息

Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, Maryland 21702, United States.

出版信息

ACS Omega. 2018 Dec 31;3(12):16882-16891. doi: 10.1021/acsomega.8b02238. Epub 2018 Dec 7.

Abstract

Serum antibodies that recognize carbohydrate antigens play a fundamental role in immune defense, homeostasis, and autoimmunity. In addition, they serve as potential biomarkers for a variety of medical applications. For most anti-glycan antibodies found in human serum, however, the origins, regulation, and biological significance are not well understood. Antibody subpopulations that are relevant to a particular biological process or disease are often difficult to identify from the myriad of anti-glycan antibodies present in human serum. While prior studies have examined anti-glycan IgG and/or IgM repertoires, little is known about IgA repertoires or how IgA, IgG, and IgM are related. In this study, we describe the development of a multiplex assay to simultaneously detect IgA, IgG, and IgM on a glycan microarray and its application to studying anti-glycan repertoires in healthy subjects. The multiplex glycan microarray assay revealed unique insights and systems-level relationships that would be difficult to uncover using traditional approaches. In particular, we found that anti-glycan IgA, IgG, and IgM expression levels appear to be tightly regulated, coordinated within individuals, and stable over time. Additionally, our results help define natural fluctuations over time, which is critical for identifying changes that are beyond normal biological variation.

摘要

识别碳水化合物抗原的血清抗体在免疫防御、体内平衡和自身免疫中发挥着重要作用。此外,它们还可作为多种医学应用的潜在生物标志物。然而,对于在人血清中发现的大多数抗聚糖抗体,其起源、调控和生物学意义尚不清楚。与特定生物学过程或疾病相关的抗体亚群通常很难从人血清中众多的抗聚糖抗体中识别出来。虽然先前的研究已经检测了抗聚糖IgG和/或IgM库,但对于IgA库或IgA、IgG和IgM之间的关系却知之甚少。在本研究中,我们描述了一种多重检测方法的开发,该方法可在聚糖微阵列上同时检测IgA、IgG和IgM,并将其应用于研究健康受试者的抗聚糖库。多重聚糖微阵列检测揭示了独特的见解和系统水平的关系,这些关系使用传统方法很难发现。特别是,我们发现抗聚糖IgA、IgG和IgM的表达水平似乎受到严格调控,在个体内相互协调,并且随时间稳定。此外,我们的结果有助于定义随时间的自然波动,这对于识别超出正常生物学变异的变化至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6976/6646781/baca28fe13a8/ao-2018-02238c_0001.jpg

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