Department of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Sci Rep. 2020 Oct 15;10(1):17505. doi: 10.1038/s41598-020-73588-x.
Alterations in the human glycome have been associated with cancer and autoimmunity. Thus, constructing a site-specific map of the human glycome for biomarker research and discovery has been a highly sought-after objective. However, due to analytical barriers, comprehensive site-specific glycoprofiling is difficult to perform. To develop a platform to detect easily quantifiable, site-specific, disease-associated glycan alterations for clinical applications, we have adapted the multiple reaction monitoring mass spectrometry method for use in glycan biomarker research. The adaptations allow for highly precise site-specific glycan monitoring with minimum sample prep. Using this technique, we successfully mapped out the relative abundances of the most common 159 glycopeptides in the plasma of 97 healthy volunteers. This plasma glycome map revealed 796 significant (FDR < 0.05) site-specific inter-protein and intra-protein glycan associations, of which the vast majority were previously unknown. Since age and gender are relevant covariants in biomarker research, these variables were also characterized. 13 glycopeptides were found to be associated with gender and 41 to be associated with age. Using just five age-associated glycopeptides, a highly accurate age prediction model was constructed and validated (r = 0.62 ± 0.12). The human plasma site-specific glycan map described herein has utility in applications ranging from glycan biomarker research and discovery to the development of novel glycan-altering interventions.
聚糖结构的改变与癌症和自身免疫性疾病有关。因此,构建人类聚糖的特异性图谱,用于生物标志物的研究和发现,一直是一个备受关注的目标。然而,由于分析上的障碍,全面的特异性糖组学分析很难实现。为了开发一个用于临床应用的平台,以检测易于定量、特异性、与疾病相关的聚糖改变,我们已经对多重反应监测质谱法进行了适应性改造,用于糖生物标志物的研究。这些适应性改造使得在最小的样品制备下,能够高度精确地进行特异性聚糖监测。使用该技术,我们成功地绘制了 97 名健康志愿者血浆中最常见的 159 种糖肽的相对丰度图谱。该血浆糖组图谱揭示了 796 种具有统计学意义的(FDR < 0.05)蛋白质间和蛋白质内特异性聚糖关联,其中绝大多数以前是未知的。由于年龄和性别是生物标志物研究中的相关协变量,我们还对这些变量进行了特征描述。发现 13 种糖肽与性别相关,41 种与年龄相关。仅使用 5 种与年龄相关的糖肽,就构建并验证了一个高度准确的年龄预测模型(r = 0.62 ± 0.12)。本文描述的人类血浆特异性聚糖图谱可用于从聚糖生物标志物的研究和发现,到新型聚糖改变干预措施的开发等多种应用。