SOURCE-LINKED INTELLIGENCE

Multi-Omics-based BIomarker Signatures of dietary Carbohydrates qUalITy and risk of chronic diseaseS.

CORDIS · observation · Publication date unknown

ary carbohydrate quality assessed by the CQI and evaluate their associations with the risk of chronic diseases in adult populations. We will integrate metabolomics and microbiota datasets using novel machine learning algorithms to identify combined panels of metabolites and microbial species reflecting the exposure to high CQI scores. We will also investigate the potential associations of these signatures with the risk of T2D, CVD, and dementia in two populations. Similar studies to this are not available in the literature and have the potential to discover novel biomarkers of CQI exposure and map biochemical mechanisms explaining the complex relationship between CQI and these diseases. This could open new avenues for the prevention and management of cardiometabolic and neurodegenerative diseases, resulting in easy-to-follow lifestyle recommendations and strategies that general population and patients can easily adopt. Metabolomics, Microbiota, Diet, Carbohydrates Quality, Biomakers, Chronic diseases

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recordType

award

status

SIGNED

region

EU

value

222727.68

unit

EUR