In this study, applying a novel knowledge-based, multi-stage discovery and validation strategy we scaled down from 108 diabetes–associated metabolites to a diagnostic metabolite triplet (Met-T) and it could improve the diagnostic accuracy of prediabetes and diabetes screening.