Translational glycobiology: from bench to bedside | Zendy

Axford John | Zendy; Alavi Azita | Zendy; Cummings Rick | Zendy; Lauc Gordan | Zendy; Opdenakker Ghislain | Zendy; Reis Celso | Zendy; Rudd Pauline | Zendy

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Translational glycobiology: from bench to bedside

Author(s) -

Axford John,

Alavi Azita,

Cummings Rick,

Lauc Gordan,

Opdenakker Ghislain,

Reis Celso,

Rudd Pauline

Publication year - 2019

Publication title -

journal of the royal society of medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 81

eISSN - 1758-1095

pISSN - 0141-0768

DOI - 10.1177/0141076819865863

Subject(s) - glycobiology , biobank , bench to bedside , population , computational biology , medicine , bioinformatics , glycan , computer science , data science , biology , medical physics , biochemistry , glycoprotein , environmental health

The importance of sugars to protein function is real and is of significant clinical relevance. Technology advances enable large population studies to be carried out, shedding light on individual sugar variation and variations with time. Three-dimensional mass spectroscopy on solid pathological specimens is going to open up a whole new world of pathology visualisation. The door is now open to exploit carbohydrate recognition in new therapeutics by identifying novel biomarkers in cancer to aid diagnosis, and also providing therapeutic targets for treatment. Glycan age correlates with biological age. This means we can map the reversal of biological age with exercise and diet.

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