Lee Ju Hee, Cho Chang Hee, Kim Sun Hee, Kang Jeong Gu, Yoo Jong Shin, Chang Chulhun Ludgerus, Ko Jeong-Heon, Kim Yong-Sam
From the ‡Targeted Gene Regulation Research Center, KRIBB, 125 Gwahak-ro, Yuseong-gu, Deajeon 305-806, Korea; §Korea University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon 305-350, Korea;
From the ‡Targeted Gene Regulation Research Center, KRIBB, 125 Gwahak-ro, Yuseong-gu, Deajeon 305-806, Korea;
Mol Cell Proteomics. 2015 Mar;14(3):782-95. doi: 10.1074/mcp.O114.043117. Epub 2014 Dec 18.
Aberrant glycosylation-targeted disease biomarker development is based on cumulative evidence that certain glycoforms are mass-produced in a disease-specific manner. However, the development process has been hampered by the absence of an efficient validation method based on a sensitive and multiplexed platform. In particular, ELISA-based analytical tools are not adequate for this purpose, mainly because of the presence of a pair of N-glycans of IgG-type antibodies. To overcome the associated hurdles in this study, antibodies were tagged with oligonucleotides with T7 promoter and then allowed to form a complex with corresponding antigens. An antibody-bound specific glycoform was isolated by lectin chromatography and quantitatively measured on a DNA microarray chip following production of fluorescent RNA by T7-trascription. This tool ensured measurement of targeted glycoforms of multiple biomarkers with high sensitivity and multiplexity. This analytical method was applied to an in vitro diagnostic multivariate index assay where a panel of hepatocellular carcinoma (HCC) biomarkers comprising alpha-fetoprotein, hemopexin, and alpha-2-macroglobulin (A2M) was examined in terms of the serum level and their fuco-fractions. The results indicated that the tests using the multiplexed fuco-biomarkers provided improved discriminatory power between non- hepatocellular carcinoma and hepatocellular carcinoma subjects compared with the alpha-fetoprotein level or fuco-alpha-fetoprotein test alone. The developed method is expected to facilitate the validation of disease-specific glycan biomarker candidates.
异常糖基化靶向疾病生物标志物的开发基于累积证据,即某些糖型以疾病特异性方式大量产生。然而,由于缺乏基于灵敏且多重平台的有效验证方法,开发过程受到了阻碍。特别是基于酶联免疫吸附测定(ELISA)的分析工具不足以实现此目的,主要原因是存在IgG型抗体的一对N-聚糖。为了克服本研究中的相关障碍,将抗体用带有T7启动子的寡核苷酸进行标记,然后使其与相应抗原形成复合物。通过凝集素色谱法分离结合抗体的特定糖型,并在通过T7转录产生荧光RNA后,在DNA微阵列芯片上进行定量测量。该工具确保了对多种生物标志物的靶向糖型进行高灵敏度和多重性的测量。这种分析方法应用于体外诊断多变量指标分析,其中对一组包含甲胎蛋白、血红素结合蛋白和α-2-巨球蛋白(A2M)的肝细胞癌(HCC)生物标志物的血清水平及其岩藻糖部分进行了检测。结果表明,与单独的甲胎蛋白水平或岩藻糖基化甲胎蛋白检测相比,使用多重岩藻糖生物标志物进行的检测在非肝细胞癌和肝细胞癌受试者之间提供了更好的区分能力。预计所开发的方法将有助于验证疾病特异性聚糖生物标志物候选物。