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通过基于反向凝集素的酶联免疫吸附测定法分析血清中糖蛋白上的聚糖变异。

Analysis of glycan variation on glycoproteins from serum by the reverse lectin-based ELISA assay.

作者信息

Wu Jing, Zhu Jianhui, Yin Haidi, Buckanovich Ronald J, Lubman David M

机构信息

University of Michigan , Department of Surgery, 1150 West Medical Center Drive, Ann Arbor, Michigan 48109, United States.

出版信息

J Proteome Res. 2014 Apr 4;13(4):2197-204. doi: 10.1021/pr401061c. Epub 2014 Mar 10.

Abstract

Altered glycosylation in glycoproteins is associated with carcinogenesis, and certain glycan structures and glycoproteins are well-known markers for tumor progression. To identify potential diagnostic candidate markers, we have developed a novel method for analysis of glycosylation changes of glycoproteins from crude serum samples using lectin-based glycoprotein capture followed by detection with biotin/HRP-conjugated antibodies. The amount of lectin coated on the microplate well was optimized to achieve low background and improved S/N compared with current lectin ELISA methods. In the presence of competing sugars of lectin AAL or with sialic acid removed from the glycoproteins, we confirmed that this method specifically detects glycosylation changes of proteins rather than protein abundance variation. Using our reverse lectin-based ELISA assay, increased fucosylated haptoglobin was observed in sera of patients with ovarian cancer, while the protein level of haptoglobin remained the same between cancers and noncases. The combination of fucosylated haptoglobin and CA125 (AUC = 0.88) showed improved performance for distinguishing stage-III ovarian cancer from noncases compared with CA125 alone (AUC = 0.86). In differentiating early-stage ovarian cancer from noncases, fucosylated haptoglobin showed comparable performance to CA125. The combination of CA125 and fucosylated haptoglobin resulted in an AUC of 0.855, which outperforms CA125 to distinguish early-stage cancer from noncases. Our study provides an alternative method to quantify glycosylation changes of proteins from serum samples, which will be essential for biomarker discovery and validation studies.

摘要

糖蛋白糖基化改变与癌症发生相关,某些聚糖结构和糖蛋白是肿瘤进展的知名标志物。为了识别潜在的诊断候选标志物,我们开发了一种新方法,用于分析粗血清样本中糖蛋白的糖基化变化,该方法采用基于凝集素的糖蛋白捕获,然后用生物素/辣根过氧化物酶偶联抗体进行检测。与当前的凝集素ELISA方法相比,优化了包被在微孔板孔上的凝集素量,以实现低背景和提高信噪比。在存在凝集素AAL的竞争糖或从糖蛋白中去除唾液酸的情况下,我们证实该方法特异性检测蛋白质的糖基化变化而非蛋白质丰度变化。使用我们基于反向凝集素的ELISA检测方法,在卵巢癌患者血清中观察到岩藻糖基化触珠蛋白增加,而触珠蛋白的蛋白质水平在癌症患者和非癌症患者之间保持不变。与单独使用CA125(AUC = 0.86)相比,岩藻糖基化触珠蛋白和CA125的组合(AUC = 0.88)在区分III期卵巢癌与非癌症患者方面表现出更好的性能。在区分早期卵巢癌与非癌症患者方面,岩藻糖基化触珠蛋白与CA125表现相当。CA125和岩藻糖基化触珠蛋白的组合产生的AUC为0.855,在区分早期癌症与非癌症患者方面优于CA125。我们的研究提供了一种量化血清样本中蛋白质糖基化变化的替代方法,这对于生物标志物的发现和验证研究至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd89/3993964/4bcdc880b51b/pr-2013-01061c_0001.jpg

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