SOURCE-LINKED INTELLIGENCE
Understanding the potential of modulating Host-Microbiome-Glycan interactions (“the triangle of sweetness”) to tackle non-communicable diseases
barrier in an in vitro cell model, and integrate the host-microbe-glycan interplay (“the triangle of sweetness”) in a human-microbial crosstalk (HuMiX) model. Thanks to powerful statistical methods, machine learning, and natural language processing techniques, we envision a thorough understanding about glycan structure-function relationship and predict their potential applications with stratifications based on gender, diet, and health conditions. We expect to validate at least one HMO alleviating impact of inflammation under two diets that is ready for a clinical trial. Cutting-edge Omics methods and data analysis pipelines will allow us to understand better the host-microbe-glycan triangle, and will provide both a wealth of research data and an expanded range of HMOs as research tools and potential therapeutics and/or preventives in human non-communicable diseases and food-related health conditions. Our unique consortium capacities and a wealth of experience in glycoengineering, biosynthesis, bioinformatics, and noncommunicable chronic disease targeting will enable us to achieve th
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3920718.75
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.