Reiding Karli R, Ruhaak L Renee, Uh Hae-Won, El Bouhaddani Said, van den Akker Erik B, Plomp Rosina, McDonnell Liam A, Houwing-Duistermaat Jeanine J, Slagboom P Eline, Beekman Marian, Wuhrer Manfred
From the ‡Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
§Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Mol Cell Proteomics. 2017 Feb;16(2):228-242. doi: 10.1074/mcp.M116.065250. Epub 2016 Dec 8.
Glycosylation is an abundant co- and post-translational protein modification of importance to protein processing and activity. Although not template-defined, glycosylation does reflect the biological state of an organism and is a high-potential biomarker for disease and patient stratification. However, to interpret a complex but informative sample like the total plasma N-glycome, it is important to establish its baseline association with plasma protein levels and systemic processes. Thus far, large-scale studies (n >200) of the total plasma N-glycome have been performed with methods of chromatographic and electrophoretic separation, which, although being informative, are limited in resolving the structural complexity of plasma N-glycans. MS has the opportunity to contribute additional information on, among others, antennarity, sialylation, and the identity of high-mannose type species.Here, we have used matrix-assisted laser desorption/ionization (MALDI)-Fourier transform ion cyclotron resonance (FTICR)-MS to study the total plasma N-glycome of 2144 healthy middle-aged individuals from the Leiden Longevity Study, to allow association analysis with markers of metabolic health and inflammation. To achieve this, N-glycans were enzymatically released from their protein backbones, labeled at the reducing end with 2-aminobenzoic acid, and following purification analyzed by negative ion mode intermediate pressure MALDI-FTICR-MS. In doing so, we achieved the relative quantification of 61 glycan compositions, ranging from HexHexNAc to HexHexNAcdHexNeu5Ac, as well as that of 39 glycosylation traits derived thereof. Next to confirming known associations of glycosylation with age and sex by MALDI-FTICR-MS, we report novel associations with C-reactive protein (CRP), interleukin 6 (IL-6), body mass index (BMI), leptin, adiponectin, HDL cholesterol, triglycerides (TG), insulin, gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT), and smoking. Overall, the bisection, galactosylation, and sialylation of diantennary species, the sialylation of tetraantennary species, and the size of high-mannose species proved to be important plasma characteristics associated with inflammation and metabolic health.
糖基化是一种丰富的共翻译和翻译后蛋白质修饰,对蛋白质加工和活性至关重要。虽然糖基化不是由模板定义的,但它确实反映了生物体的生物学状态,并且是疾病和患者分层的高潜力生物标志物。然而,要解读像总血浆N-聚糖组这样复杂但信息丰富的样本,重要的是要确定其与血浆蛋白水平和全身过程的基线关联。到目前为止,已经使用色谱和电泳分离方法对总血浆N-聚糖组进行了大规模研究(n>200),这些方法虽然提供了信息,但在解析血浆N-聚糖的结构复杂性方面存在局限性。质谱有机会提供关于天线数、唾液酸化以及高甘露糖型糖的身份等额外信息。在此,我们使用基质辅助激光解吸/电离(MALDI)-傅里叶变换离子回旋共振(FTICR)-质谱来研究来自莱顿长寿研究的2144名健康中年个体的总血浆N-聚糖组,以便与代谢健康和炎症标志物进行关联分析。为了实现这一目标,N-聚糖从其蛋白质骨架上酶解释放,在还原端用2-氨基苯甲酸标记,并在纯化后通过负离子模式中压MALDI-FTICR-MS进行分析。通过这样做,我们实现了61种聚糖组成的相对定量,范围从己糖己糖胺到己糖己糖胺二己糖神经氨酸,以及由此衍生的39种糖基化特征。除了通过MALDI-FTICR-MS确认糖基化与年龄和性别的已知关联外,我们还报告了与C反应蛋白(CRP)、白细胞介素6(IL-6)、体重指数(BMI)、瘦素、脂联素、高密度脂蛋白胆固醇(HDL胆固醇)、甘油三酯(TG)、胰岛素、γ-谷氨酰胺转移酶(GGT)、丙氨酸转氨酶(ALT)和吸烟的新关联。总体而言,双天线糖的二等分、半乳糖基化和唾液酸化、四天线糖的唾液酸化以及高甘露糖型糖的大小被证明是与炎症和代谢健康相关的重要血浆特征。