State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, 210023, China.
Angew Chem Int Ed Engl. 2022 May 16;61(21):e202113528. doi: 10.1002/anie.202113528. Epub 2022 Mar 23.
The glycosylation pattern of alpha fetoprotein (AFP) paves the basis for precise early diagnosis of hepatocellular carcinoma (HCC). However, existing analytical methods ignore the contribution of terminal sialic acid, which has been reported to be highly connected with HCC. Besides, the development of diagnostic assays is severely hindered by the preparation of anti-glycans antibodies. Molecularly imprinted polymers (MIPs), as synthetic antibody mimics, provide unique strengths to address these issues. Herein, we report a MIPs-based dual-modal ratiometric immunoassay for precise HCC diagnosis. Using a "pit one against ten" MIP to recognize a subset of glycans containing sialic acid and/or core fucose, we demonstrated our assay exhibited improved precision as compared with ELISA. This assay provided not only a glycoform-resolved method for precise HCC diagnosis, but also a new paradigm for developing antibody mimics via molecular imprinting towards challenging biomedical applications.
甲胎蛋白 (AFP) 的糖基化模式为肝细胞癌 (HCC) 的精确早期诊断奠定了基础。然而,现有的分析方法忽略了末端唾液酸的贡献,已有报道称其与 HCC 高度相关。此外,由于糖链抗体的制备,诊断检测方法的发展受到严重阻碍。分子印迹聚合物 (MIP) 作为合成抗体模拟物,为解决这些问题提供了独特的优势。在此,我们报告了一种基于 MIP 的双模式比率免疫分析方法,用于精确诊断 HCC。我们使用“一挑十”的 MIP 来识别含有唾液酸和/或核心岩藻糖的聚糖亚基,与 ELISA 相比,我们的方法显示出了更高的精度。该方法不仅提供了一种用于精确 HCC 诊断的糖型分辨方法,而且为通过分子印迹开发用于挑战性生物医学应用的抗体模拟物提供了新范例。