In recent years, the human microbiome has emerged as a key modulator of health and disease, yet translating this knowledge into actionable therapeutics remained limited by a lack of scalable, data-driven platforms. Building on discoveries from our ERC-funded project, we identified specific microbial genes, pathways, and strains associated with cardiometabolic conditions using a deeply phenotyped human cohort of over 10,000 individuals. Our metagenome-wide association studies revealed tens of thousands of significant associations between microbial genetic variants and host traits such as BMI, blood pressure, and glucose metabolism, often with surprisingly large effect sizes. These findings enabled us to prioritize bacterial strains most strongly linked to disease phenotypes for downstream diagnostic and therapeutic applications.
In this ERC-PoC project, we translated our computational discoveries into tangible therapeutic assets. Leveraging our unique access to participants from the original cohort, we recontacted individuals harboring the most promising strains, isolated and functionally characterized them, and established a biobank of candidate therapeutic bacteria. We then signed licensing deals with industry partners to grow these strains and evaluate their efficacy in clinical trials targeting obesity and other cardiometabolic disorders. This closed-loop pipeline—spanning large-scale human data, novel analytics, and strain isolation—is both scalable and disease-agnostic, providing a transformative platform for the development of microbiome-based diagnostics and therapeutics. Through this work, we directly address the global burden of metabolic disease and set the stage for microbiome interventions with real-world impact.