Big data in personalised medicine
summary
Claim that genetics explains only ~12–20% of longevity and ~30% of complex disease drives focus to lifestyle-responsive biomarkers such as glycans; team-wide assays cover 150,000 people and show glycan patterns shift up to a decade before disease and predict cardiovascular events better than traditional markers in a 3,500-person cohort. A commercial glycan clock maps glycosylation to biological age, responds to weight loss or drugs within months, and clinics report large reversals, but replication needs large cohorts, careful normalization and avoidance of small-study false positives.
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chapters (8)
- 0:00Start
- 10:44Croatian model of identification of war victims was the most successful program of identification of war victims because we implemented "sanity check" of DNA data FORENSIC SCIENCES
- 14:12Glycan clock of ageing is based on the analysis of 24 individual glycan structures attached to immunoglobulin G
- 15:37Glycans are the ultimate layer of molecular complexity and the most neglected molecules of cellular communication
- 20:21Glycans are functional effectors of inflammaging that contribute to multiple diseases
- 21:06Inflammation is one of the main drivers of ageing and age-related diseases
- 22:59There is no standard human (Diogenes study)
- 23:38Gut microbiome is a very important element of health and it also affects composition of the plasma glycome
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