摘要
背景:免疫球蛋白G和A、转铁蛋白、触珠蛋白和α-1-抗胰蛋白酶约占人类血清糖蛋白组的85%,它们的N-糖基化分析可能有助于发现重要的疾病分子标记物。然而,由于唾液酸残基的不稳定性,血清N-糖蛋白组的去烷基亚群传统上被用于诊断应用。 目的:创建一个五蛋白模型来拆析肺部炎症和恶性疾病的整体n -糖基化指纹。 方法:分析了人血清的N-聚糖库和5种高含量的血清糖蛋白。同时内糖苷酶/唾液酸酶消化,荧光标记,CE-LIF分离建立模型。我们分析了来自COPD、肺癌(LC)及其共病患者的混合血清样本。 结果:9个显著的(>1%)缺乏唾液酸基的-N-聚糖结构在人血清和标准蛋白混合物中被鉴定出来。核心聚焦的半乳半乳糖双聚糖分化了COPD和LC,并分别来自对照组和共病组。核心聚焦的无乳-双胎-二分,单乳和双乳结构的减少将所有疾病组与对照组区分开来。聚焦化半乳糖化三胎儿结构的显著增加对LC是高度特异性的,对COPD是中等程度的,对共病是较小程度的。此外,与对照组相比,所有三种疾病类型的无聚焦-半乳糖化-双触角结构以及COPD和LC的无聚焦-半乳糖化-三触角结构均有所增加。 结论:我们的结果表明,脱盐的人血清N-glycome的变化具有糖蛋白特异性分子诊断恶性和炎症性肺部疾病的潜力,这可以用五蛋白混合物建模。
关键词: 人血清N-糖基化,去硅烷基化,毛细管电泳,肺疾病,分子诊断,恶性
Current Molecular Medicine
Title:Modeling of the Desialylated Human Serum N-glycome for Molecular Diagnostic Applications in Inflammatory and Malignant Lung Diseases
Volume: 20 Issue: 10
关键词: 人血清N-糖基化,去硅烷基化,毛细管电泳,肺疾病,分子诊断,恶性
摘要:
Background: Immunoglobulin G and A, transferrin, haptoglobin and alpha-1- antitrypsin represent approximately 85% of the human serum glycoproteome and their N-glycosylation analysis may lead to the discovery of important molecular disease markers. However, due to the labile nature of the sialic acid residues, the desialylated subset of the serum N-glycoproteome has been traditionally utilized for diagnostic applications.
Objective: Creating a five-protein model to deconstruct the overall N-glycosylation fingerprints in inflammatory and malignant lung diseases.
Methods: The N-glycan pool of human serum and the five high abundant serum glycoproteins were analyzed. Simultaneous endoglycosidase/sialidase digestion was followed by fluorophore labeling and separation by CE-LIF to establish the model. Pooled serum samples from patients with COPD, lung cancer (LC) and their comorbidity were all analyzed.
Results: Nine significant (>1%) asialo-N-glycan structures were identified both in human serum and the standard protein mixture. The core-fucosylated-agalacto-biantennary glycan differentiated COPD and LC and both from the control and the comorbidity groups. Decrease in the core-fucosylated-agalacto-biantennary-bisecting, monogalacto and bigalacto structures differentiated all disease groups from the control. The significant increase of the fucosylated-galactosylated-triantennary structure was highly specific for LC, to a medium extent for COPD and a lesser extent for comorbidity. Also, some increase in the afucosylated-galactosylated-biantennary structure in all three disease types and afucosylated-galactosylated-triantennary structures in COPD and LC were observed in comparison to the control group.
Conclusion: Our results suggested that changes in the desialylated human serum Nglycome hold glycoprotein specific molecular diagnostic potential for malignant and inflammatory lung diseases, which can be modeled with the five-protein mixture.
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Cite this article as:
Modeling of the Desialylated Human Serum N-glycome for Molecular Diagnostic Applications in Inflammatory and Malignant Lung Diseases, Current Molecular Medicine 2020; 20 (10) . https://dx.doi.org/10.2174/1566524020666200422085316
DOI https://dx.doi.org/10.2174/1566524020666200422085316 |
Print ISSN 1566-5240 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5666 |
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