This large prospective study integrated blood metabolomics, genetics, and lifestyle data to identify hundreds of metabolites associated with long-term risk of type 2 diabetes in initially healthy adults. A validated 44-metabolite signature improved risk prediction beyond conventional factors, offering insights into biological pathways and opportunities for earlier, more precise prevention.