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用于人血清中糖肽分析的基于亲水性卟啉的金属有机框架@共价有机框架杂化体的合成后修饰构建

Construction of a hydrophilic porphyrin-based MOF@COF hybrid post-synthetic modification for -glycopeptides analysis in human serum.

作者信息

Rao Dongping, Meng Luyan, Sheng Xiuqin, Yu Wenying, Ding Chuan-Fan, Yan Yinghua

机构信息

Women and Children's Hospital of Ningbo University, Ningbo, 315012, China.

School of Materials Science and Chemical Engineering, Ningbo 315211, China.

出版信息

Anal Methods. 2024 Dec 5;16(47):8188-8193. doi: 10.1039/d4ay01791a.

Abstract

A hybrid material, M@C-Br@GMA@Glu, consisting of a porphyrin-based metal-organic framework-covalent organic framework (MOF@COF), has been meticulously synthesized using a post-synthetic modification approach. This advanced material has demonstrated exceptional effectiveness in glycopeptide enrichment, characterized by an impressively low detection limit (0.2 fmol μL), high selectivity (1 : 2000), and loading capacity for glycopeptides (100 mg g). In practical applications with complex biological samples, 210 glycopeptides associated with 87 glycoproteins from the serum of the healthy group, and 156 glycopeptides related to 85 glycoproteins from the serum of cervical cancer were identified after enrichment with M@C-Br@GMA@Glu. Subsequent genetic ontology analysis has elucidated the relationship between cervical cancer and glycosylation, focusing on biological processes such as complement activation, innate immune response mechanisms, and the structural dynamics of the extracellular matrix. The collective findings not only validate the material's proficiency in the sensitive and selective enrichment of glycopeptides, but also underscore its potential in biomarker discovery applications.

摘要

一种由卟啉基金属有机框架-共价有机框架(MOF@COF)组成的杂化材料M@C-Br@GMA@Glu,已采用后合成修饰方法精心合成。这种先进材料在糖肽富集方面表现出卓越的效果,其特点是检测限极低(0.2 fmol μL)、选择性高(1∶2000)以及对糖肽的负载能力(100 mg g)。在复杂生物样品的实际应用中,用M@C-Br@GMA@Glu富集后,从健康组血清中鉴定出与87种糖蛋白相关的210种糖肽,从宫颈癌血清中鉴定出与85种糖蛋白相关的156种糖肽。随后的基因本体分析阐明了宫颈癌与糖基化之间的关系,重点关注补体激活、先天免疫反应机制和细胞外基质的结构动力学等生物学过程。这些研究结果不仅验证了该材料在灵敏且选择性富集糖肽方面的能力,还突出了其在生物标志物发现应用中的潜力。

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