Imagine your immune system is like a security team that gets sluggish when you carry extra weight. This work looks at how specific foods and gut bacteria act like a training program to wake that team up. By studying the sugar-coatings on cells and gut microbes, the team is figuring out exactly what to eat to keep the body's defenses sharp.
Obesity leads to chronic inflammation and weakened immunity, increasing the risk of non-communicable diseases. Current nutritional advice is too generic to effectively reverse these immune impairments at scale.
A harmonized dataset of 690 participants and machine learning models to identify predictive markers for immune health and dietary patterns.
If you are a food producer dealing with a lack of scientifically backed health claims — this project developed validated nutritional recommendations that can be used to create new food products specifically designed to improve immunity in overweight people.
If you are a health-tech company dealing with generic dietary advice that doesn't work for everyone — this project developed machine learning models and digital signatures that allow for personalized dietary advice based on a person's unique immune and microbiome profile.
If you are a clinic dealing with high rates of type 2 diabetes and cardiovascular complications in obese patients — this project developed a 24-week precision nutritional intervention to restore T cell fitness and reduce chronic inflammation.
Based on available project data, specific pricing or implementation costs are not provided; the project focuses on developing the scientific proof-of-concept.
The project aims to contribute to the formulation of new food products, but based on available data, it is currently in the proof-of-concept stage rather than industrial scale.
Based on available project data, WP6 is responsible for exploitation, but specific licensing terms or patents have not been detailed in the summary.
The project utilizes a 24-week precision nutritional intervention to assess the restoration of T cell fitness in obese subjects.
The project has created a harmonized multi-cohort dataset involving approximately 690 participants to ensure consistent analysis.
The consortium is heavily research-oriented, consisting of 3 universities and 3 research institutes, with only 1 SME (14% industry ratio). This suggests the output is currently high-science and will require strong commercial partnerships to transition from the 4-country academic network (FR, DE, CH, NL) to a market-ready product.
Contact Sorbonne Universite regarding the exploitation of the precision nutrition datasets.
Contact us to bridge the gap between NUTRIMMUNE's glycomic data and your product pipeline.
