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Glucose variability patterns for precision nutrition in diabetes

CORDIS · observation · Publication date unknown

r control strategies, urging a paradigm shift in our approach. The GLUCOTYPES project brings together leading experts in nutrition, metabolic diseases, glycobiology, gut microbiome, epidemiology, and machine learning from five European countries to tackle this challenge. Our strategy capitalises on advancements in wearable technologies, molecular biology, and bioinformatics. We propose to leverage high-temporal continuous glucose monitor data to identify patterns of early glycaemic alterations, a concept we refer to as glucotypes and forms the core hypothesis of our research program. Circulating and adipose tissue glycoproteomics profiling will be used to gain molecular insights into glucotypes. Machine learning algorithms will be applied to investigate the intersection between diet and glucotypes on clinical outcomes and gain mechanistic insights into how diet and gut microbiome influence glucose homeostasis in specific glucotypes. The knowledge derived from these activities will inform a proof-of-concept precision nutrition clinical study to test the efficacy of a precision-based d

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recordType

award

status

SIGNED

region

EU

value

4581331.25

unit

EUR