SubsidieMeestersMetabolomics-driven Molecular Source Analysis for personalized medicine in children
MeMoSA aims to enhance personalized medicine for children by identifying gastrointestinal metabolite sources through advanced metabolomics and machine learning, improving disease prevention and treatment efficacy.
Projectdetails
Introduction
While recent advents have empowered the new reality of holistic metabolic phenotyping, we are currently still unable to accurately determine the source(s) of the underlying metabolites. This is undoubtedly the main stumbling block in inferring causality to new biomarkers for disease prevention, prediction, and prognosis, particularly given the rapidly increasing burden of metabolic diseases.
Challenges in Current Methods
At the same time, conventional metabolomics methods do not meet the requirements for adoption in clinical practice. MeMoSA will address these issues by unraveling the source hierarchy of the gastrointestinal metabolome, ultimately enabling effective personalized treatments through longitudinal source modulation and follow-up.
Development of Workflows
First, two workflows will be developed:
- High-throughput comprehensive 2D metabolomics and lipidomics
- Rapid clinically applicable ambient ionization metabotyping
Generating Molecular Fingerprints
Second, molecular fingerprints of our unique deeply phenotyped pediatric cohorts (1.5k children) will be generated. Advanced machine learning algorithms will be used to predict metabolite abundances based on their sources, including:
- Diet
- Lifestyle
- Anthropometrics
- Microbiome
- Drug intake
- Psychological factors
- Clinical markers
Understanding Source-Metabolite Causality
Third, a combination of in vitro digestions, in vivo humanized mice, and in silico experiments with selected source variables will be designed to contribute to our understanding of source-metabolite causality.
Building Intervention Trials
These mechanistic insights will be used to build dedicated intervention trials in children with specific source-dominated metabotypes.
Goals of MeMoSA
MeMoSA will lay the foundation for integrating metabolomics into personalized and preventive medicine in children through:
i. Better prediction of individual metabotypes in relation to health
ii. In-depth insight into metabolite sources, which will foster a framework for biomarker qualification and unraveling disease etiology
iii. Greater treatment efficacy through dedicated metabolome-driven source modulation
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 1.999.763 |
| Totale projectbegroting | € 1.999.763 |
Tijdlijn
| Startdatum | 1-6-2024 |
| Einddatum | 31-5-2029 |
| Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- UNIVERSITEIT GENTpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
MANUNKIND: Determinants and Dynamics of Collaborative ExploitationThis project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery. | ERC STG | € 1.497.749 | 2022 | Details |
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressureThe UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance. | ERC STG | € 1.498.280 | 2022 | Details |
Uncovering the mechanisms of action of an antiviral bacteriumThis project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function. | ERC STG | € 1.500.000 | 2023 | Details |
The Ethics of Loneliness and SociabilityThis project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field. | ERC STG | € 1.025.860 | 2023 | Details |
MANUNKIND: Determinants and Dynamics of Collaborative Exploitation
This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure
The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.
Uncovering the mechanisms of action of an antiviral bacterium
This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
The Ethics of Loneliness and Sociability
This project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field.
Vergelijkbare projecten uit andere regelingen
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|---|---|---|---|---|
Single-Cell Metabolomics for Drug Discovery and DevelopmentThe project aims to commercialize single-cell metabolomics technology to enhance drug safety by revealing off-target effects and metabolic responses in drug candidates. | ERC POC | € 150.000 | 2022 | Details |
A Multi-Omics Approach for Novel Drug Targets, Biomarkers and Risk Algorithms for Myocardial InfarctionTargetMI aims to rapidly discover novel drug targets and biomarkers for myocardial infarction using a high-throughput multi-omic approach on 1000 samples, enhancing clinical risk prediction and translation. | EIC Pathfinder | € 3.999.840 | 2023 | Details |
Transformative Pediatric Brain Cancer Imaging using Integrated Biophysics-AI Molecular MRIDevelop a novel AI-driven molecular MRI technology for rapid, noninvasive monitoring of pediatric brain cancer treatment response, enhancing precision medicine and understanding of tumor dynamics. | ERC STG | € 1.497.669 | 2024 | Details |
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Single-Cell Metabolomics for Drug Discovery and Development
The project aims to commercialize single-cell metabolomics technology to enhance drug safety by revealing off-target effects and metabolic responses in drug candidates.
A Multi-Omics Approach for Novel Drug Targets, Biomarkers and Risk Algorithms for Myocardial Infarction
TargetMI aims to rapidly discover novel drug targets and biomarkers for myocardial infarction using a high-throughput multi-omic approach on 1000 samples, enhancing clinical risk prediction and translation.
Transformative Pediatric Brain Cancer Imaging using Integrated Biophysics-AI Molecular MRI
Develop a novel AI-driven molecular MRI technology for rapid, noninvasive monitoring of pediatric brain cancer treatment response, enhancing precision medicine and understanding of tumor dynamics.
Hyperpolarized Magnetic Resonance at the point-of-care
HYPMET aims to revolutionize personalized cancer treatment by developing a compact NMR technology for real-time monitoring of metabolic pathways and body fluid analyses using enhanced hyperpolarization methods.