Integrated approach toward the discovery of glyco-biomarkers of inflammation-Related diseases

Takashi Angata, Reiko Fujinawa, Ayako Kurimoto, Kazuki Nakajima, Masaki Kato, Shinji Takamatsu, Hiroaki Korekane, Cong Xiao Gao, Kazuaki Ohtsubo, Shinobu Kitazume, Naoyuki Taniguchi

Research output: Contribution to journalReview articlepeer-review

33 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)159-169
Number of pages11
JournalAnnals of the New York Academy of Sciences
Issue number1
Publication statusPublished - 04-2012

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • General Biochemistry,Genetics and Molecular Biology
  • History and Philosophy of Science


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