Van Scherpenzeel Monique, Willems Esther, Lefeber Dirk J
Translational Metabolic Laboratory, Radboud University Medical Center, Geert Grooteplein 10, Nijmegen, 6525 GA, The Netherlands.
Department of Neurology, Radboud University Medical Center, Geert Grooteplein 10, Nijmegen, 6525 GA, The Netherlands.
Glycoconj J. 2016 Jun;33(3):345-58. doi: 10.1007/s10719-015-9639-x. Epub 2016 Jan 7.
Abnormal protein glycosylation is observed in many common disorders like cancer, inflammation, Alzheimer's disease and diabetes. However, the actual use of this information in clinical diagnostics is still very limited. Information is usually derived from analysis of total serum N-glycan profiling methods, whereas the current use of glycoprotein biomarkers in the clinical setting is commonly based on protein levels. It can be envisioned that combining protein levels and their glycan isoforms would increase specificity for early diagnosis and therapy monitoring. To establish diagnostic assays, based on the mass spectrometric analysis of protein-specific glycosylation abnormalities, still many technical improvements have to be made. In addition, clinical validation is equally important as well as an understanding of the genetic and environmental factors that determine the protein-specific glycosylation abnormalities. Important lessons can be learned from the group of monogenic disorders in the glycosylation pathway, the Congenital Disorders of Glycosylation (CDG). Now that more and more genetic defects are being unraveled, we start to learn how genetic factors influence glycomics profiles of individual and total serum proteins. Although only in its initial stages, such studies suggest the importance to establish diagnostic assays for protein-specific glycosylation profiling, and the need to look beyond the single glycoprotein diagnostic test. Here, we review progress in and lessons from genetic disease, and review the increasing opportunities of mass spectrometry to analyze protein glycosylation in the clinical diagnostic setting. Furthermore, we will discuss the possibilities to expand current CDG diagnostics and how this can be used to approach glycoprotein biomarkers for more common diseases.
在许多常见疾病如癌症、炎症、阿尔茨海默病和糖尿病中都观察到异常的蛋白质糖基化。然而,这些信息在临床诊断中的实际应用仍然非常有限。信息通常来自对总血清N-聚糖谱分析方法的分析,而目前在临床环境中糖蛋白生物标志物的应用通常基于蛋白质水平。可以设想,将蛋白质水平及其聚糖异构体结合起来将提高早期诊断和治疗监测的特异性。要建立基于蛋白质特异性糖基化异常质谱分析的诊断检测方法,仍需进行许多技术改进。此外,临床验证同样重要,了解决定蛋白质特异性糖基化异常的遗传和环境因素也很重要。从糖基化途径中的单基因疾病组,即先天性糖基化障碍(CDG)中可以吸取重要教训。既然越来越多的基因缺陷被揭示出来,我们开始了解遗传因素如何影响个体和总血清蛋白的糖组学谱。尽管这类研究尚处于初始阶段,但它们表明建立蛋白质特异性糖基化谱诊断检测方法的重要性,以及超越单一糖蛋白诊断测试的必要性。在此,我们回顾了遗传疾病的进展和经验教训,并回顾了质谱在临床诊断环境中分析蛋白质糖基化的越来越多的机会。此外,我们将讨论扩展当前CDG诊断的可能性,以及如何将其用于研究更常见疾病的糖蛋白生物标志物。