Microbiome response biomarkers for stratified lifestyle interventions
University of Copenhagen researchers have identified microbiome biomarkers and a predictive machine learning model to stratify individuals for lifestyle interventions. By analyzing baseline gut microbiota, the model identifies "responders" and "non-responders" to interventions like diet and exercise, helping to improve the design of personalized health approaches and ensure the efficacy of clinical study outcomes.
Overview
Researchers have identified robust, generalizable biomarkers to enable microbiome-based stratification for lifestyle interventions. By analyzing large-scale metagenomics data, the team demonstrated that an individual's baseline microbiome composition can predict whether they will be a responder or non-responder to interventions such as diet or exercise. This work addresses the variability in how different people's gut microbiomes respond to lifestyle changes, offering a path to more personalized health approaches by identifying those least likely to benefit from generalized therapeutic restructuring of their gut microbiota.
Technical specifications
- Biomarker Identification: Key indicators of microbiome resistance include the species Bacteroides stercoris, Prevotella copri, and Bacteroides vulgatus, alongside the regulation of aromatic and non-aromatic amino acid biosynthesis.
- Machine Learning Model: A predictive model was developed to classify individuals as responders or non-responders independently of the specific intervention type.
- Performance: The model achieved an area under the curve (AUC) of up to 0.86 in external validation cohorts of diverse ethnicities, demonstrating high predictive power.
- Methodology: The study utilized a large-scale meta-analysis of 1448 longitudinal shotgun metagenomics samples from 396 individuals.
Technology readiness level
The research has reached a stage of validation in external cohorts, showing successful predictive performance (TRL 4). It is currently a published scientific result intended to inform future clinical study design and personalized lifestyle approaches rather than a commercially deployed product.
About University of Copenhagen
The University of Copenhagen is a comprehensive public research university and one of Denmark’s largest, pairing fundamental discovery with industry-facing programs. An urban innovation district connects campus sites with university hospitals and incubators, enabling co-located labs, shared core facilities, and routes for clinical and industrial translation. Companies work through contract research, sponsored collaborations, and industry PhD pathways, while proximity to the Medicon Valley cluster strengthens recruitment and joint development. Research is supported by competitive European and Danish funding, including Horizon Europe and national research foundations, plus significant philanthropic backing. A dedicated technology transfer office manages IP, licensing, and startup formation with streamlined, industry-ready agreements.
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