A multi-omics atlas of multisystem complications in type 2 diabetes reveals molecular signatures and improves risk prediction - PubMed
3 hours ago
- #multi-omics
- #predictive modeling
- #type 2 diabetes
- A large-scale multi-omics study analyzed UK Biobank participants with type 2 diabetes (T2D) to create a molecular atlas of its multisystem complications.
- It identified shared molecular signals and pathways across 19 T2D-related outcomes, as well as outcome-specific signatures.
- Protein-based predictive models significantly outperformed clinical models, with combined models showing the best performance.
- A simplified panel of 174 proteins was found to maintain robust predictive performance, enhancing clinical feasibility.
- The study provides insights into disease biology and offers a practical framework for risk prediction and precision interventions.