Systems Glycobiology Research Group, Chemical Biology Department, RIKEN Advanced Science Institute, Wako, Saitama, Japan.
Ann N Y Acad Sci. 2012 Apr;1253:159-69. doi: 10.1111/j.1749-6632.2012.06469.x. Epub 2012 Mar 1.
Glycobiology has contributed tremendously to the discovery and characterization of cancer-related biomarkers containing glycans (i.e., glyco-biomarkers) and a more detailed understanding of cancer biology. It is now recognized that most chronic diseases involve some elements of chronic inflammation; these include cancer, Alzheimer's disease, and metabolic syndrome (including consequential diabetes mellitus and cardiovascular diseases). By extending the knowledge and experience of the glycobiology community regarding cancer biomarker discovery, we should be able to contribute to the discovery of diagnostic/prognostic glyco-biomarkers of other chronic diseases that involve chronic inflammation. Future integration of large-scale "omics"-type data (e.g., genomics, epigenomics, transcriptomics, proteomics, and glycomics) with computational model building, or a systems glycobiology approach, will facilitate such efforts.
糖生物学在发现和描述与癌症相关的含有聚糖的生物标志物(即糖生物标志物)方面做出了巨大贡献,也让我们对癌症生物学有了更深入的了解。现在人们已经认识到,大多数慢性疾病都涉及到慢性炎症的某些方面;这些疾病包括癌症、阿尔茨海默病和代谢综合征(包括由此产生的糖尿病和心血管疾病)。通过扩展糖生物学领域在癌症生物标志物发现方面的知识和经验,我们应该能够为发现涉及慢性炎症的其他慢性疾病的诊断/预后糖生物标志物做出贡献。未来将大规模的“组学”型数据(如基因组学、表观基因组学、转录组学、蛋白质组学和糖组学)与计算模型构建或系统糖生物学方法相结合,将有助于实现这一目标。