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OBELISK · Project

Precision Medicine and Predictive Tools to Prevent Childhood Obesity and Related Diseases

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Imagine if we could spot the exact genetic 'switch' that makes a child prone to obesity before it happens. This project looks at DNA and lifestyle data to find these triggers and test targeted treatments. It's like finding the root of a weed in a garden so it never grows into a giant problem for the adult plant.

By the numbers
35%
targeted decrease in children with obesity becoming adults with obesity
3
minimum number of novel childhood obesity genes to be identified
32%
obesity rate in European late teens (1980-present increase)
The business problem

What needed solving

Adult obesity is difficult to treat, and childhood obesity rates have surged to 32% in Europe. There is a lack of precision tools to predict and prevent this transition at a molecular level.

The solution

What was built

The project is building a European catalogue of longitudinal cohorts, proprietary predictive tools for obesity, and a clinical study protocol for GLP1R agonists.

Audience

Who needs this

Pharmaceutical companies focusing on metabolic diseasesPrecision medicine diagnostic labsPublic health policy agenciesPediatric healthcare providers
Business applications

Who can put this to work

Pharmaceuticals
enterprise
Target: Drug development firm

If you are a drug development firm dealing with the need for new metabolic targets — this project developed a method to identify at least 3 novel childhood obesity genes that can be used to find new drug targets.

Diagnostics
mid-size
Target: Genetic testing laboratory

If you are a genetic testing laboratory dealing with imprecise obesity screening — this project developed early predictive proprietary tools and whole-exome sequencing workflows that allow for precision medicine for children with pathogenic mutations.

Digital Health
SME
Target: Health-tech app developer

If you are a health-tech app developer dealing with low user engagement in obesity prevention — this project developed a participative medicine model involving families, schools, and municipalities to improve the success of interventions.

Frequently asked

Quick answers

What is the estimated cost or price for implementing these tools?

Based on available project data, specific pricing for the proprietary tools is not provided, though the project received a total EU contribution of EUR 10,054,268 for development.

Is this solution ready for industrial scale?

The project is currently in the research and clinical study phase, focusing on identifying genes and testing drugs like GLP1R agonists, meaning it is not yet at industrial scale.

How is the IP and licensing handled for the predictive tools?

The project aims to develop proprietary tools for prediction and treatment; however, specific licensing terms are not detailed in the provided data.

What is the timeline for the clinical results?

The project period runs from 2023-05-01 to 2028-04-30, with results expected by the end of this window.

How does this integrate with existing healthcare systems?

The project translates clinical results into guidelines and proposals for policy makers to change obesity care across Europe.

Consortium

Who built it

The consortium is heavily weighted toward research and academia, with 8 universities and 6 research institutes. However, there is a strategic industrial presence with 2 industry partners (11% ratio), including one SME, indicating a bridge between molecular discovery and commercial application across 10 countries.

How to reach the team

Contact the Institut National de la Santé et de la Recherche Médicale (INSERM) in France.

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for the predictive obesity tools.

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