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

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Development of a Multiplex Glycan Microarray Assay and Comparative Analysis of Human Serum Anti-Glycan IgA, IgG, and IgM Repertoires.
ACS Omega ( IF 3.7 ) Pub Date : 2018-12-07 , DOI: 10.1021/acsomega.8b02238
Sarah V Durbin ₁ , W Shea Wright ₁ , Jeffrey C Gildersleeve ₁

Affiliation

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.

中文翻译：

多重聚糖微阵列检测的开发和人血清抗聚糖 IgA、IgG 和 IgM 库的比较分析。

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，它们还可作为各种医学应用的潜在生物标志物。然而，对于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。与特定生物过程或疾病相关的抗体亚群通常很难从人血清中存在的无数抗聚糖抗体中识别出来。虽然先前的研究已经检查了抗聚糖 IgG 和/或 IgM 库，但对 IgA 库或 IgA、IgG 和 IgM 的相关性知之甚少。在本研究中，我们描述了多重检测同时检测 IgA、IgG、和 IgM 上的聚糖微阵列及其在研究健康受试者抗聚糖库中的应用。多重聚糖微阵列分析揭示了使用传统方法难以发现的独特见解和系统级关系。特别是，我们发现抗聚糖 IgA、IgG 和 IgM 表达水平似乎受到严格调控，在个体内部协调，并且随着时间的推移保持稳定。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变异的变化至关重要。和 IgM 表达水平似乎受到严格调控，在个体内部协调一致，并且随着时间的推移保持稳定。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变异的变化至关重要。和 IgM 表达水平似乎受到严格调控，在个体内部协调一致，并且随着时间的推移保持稳定。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变异的变化至关重要。

更新日期：2018-12-07

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