Serum Antibody Profiling with a Carbohydrate Microarray

生物标志物在癌症诊断和治疗中起着至关重要的作用。抗体是一类重要的生物标记物，具有良好的稳定性、在生物流体中的可及性和易于检测等优点。在识别蛋白质抗原的抗体水平变化方面已经进行了广泛的研究；然而，结合碳水化合物抗原的抗体分析在很大程度上没有得到充分利用。我们的碳水化合物微阵列非常适合监测人类血清中的抗聚糖抗体，并研究其水平在疾病反应或疾病治疗中的变化。高通量方法可用于识别新的单一生物标记物或识别可用作生物标记物的变化或概况的组合。我们一直在开发和验证用于测量人类血清抗体水平的碳水化合物微阵列分析。测定和阵列技术正在应用于a)描述健康个体抗体的自然收集，b)评估抗体水平随时间的自然变化，c)确定癌症患者抗体水平的变化，以及d)确定疫苗接种或其他癌症治疗引起的抗体水平的变化。

Biomarkers play a critical role in cancer diagnosis and treatment. Antibodies represent an important class of biomarkers with many advantageous features such as good stability, accessibility in biofluids, and easy detection. There has been extensive research on identifying changes in antibody levels to protein antigens; however, analysis of antibodies that binding carbohydrate antigens have been largely underutilized. Our carbohydrate microarray is well-suited to monitor the repertoire of anti-glycan antibodies in human serum and to study changes in their levels in response to disease or treatment of disease. The high-throughput approach can be used to identify new single biomarkers or to identify combinations of changes or profiles that are useful as biomarkers. We have been developing and validating a carbohydrate microarray assay for measuring antibody levels in human serum. The assay and array technology is being applied to a) characterizing the natural collection of antibodies in healthy individuals, b) evaluating natural changes in antibody levels over time, c) identifying changes in antibody levels in cancer patients, and d) identifying changes in antibody levels induced by vaccination or other cancer treatment.