Metabolomics profiles of type 2 diabetes and insulin resistance and their associations with total mortality. T2D metabolites linked to mortality.
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| Abstract | OBJECTIVE: This study aimed to identify metabolomic profiles associated with type 2 diabetes and insulin resistance (HOMA-IR) and relate them to the risk of total mortality.METHODS: A longitudinal study was conducted in a subset of participants from a diabetes case-cohort study (mean age, 66.5 years; 62% women; 176/699 with incident T2D) within the PREDIMED trial. Plasma metabolites were analyzed using LC-MS/MS methods at baseline (discovery sample) and 1-year follow-up (validation sample). Multi-metabolite profile scores for type 2 diabetes and HOMA-IR, respectively, were derived using elastic net regression. Cox proportional hazards were fitted to assess the association between metabolomic profiles and total mortality, adjusting for potential confounders. External validation was performed in the NHS/HPFS cohorts.RESULTS: A total of 31 metabolites were associated with type 2 diabetes and 105 with HOMA-IR. Both metabolomic profiles were significantly associated with a higher risk of total mortality (type 2 diabetes HR = 1.52, 95%CI: 1.04-2.25; HOMA-IR HR = 1.33, 95%CI: 1.00-1.75) in the PREDIMED cohort. Shared metabolites between both metabolomic signatures, including glycine, SDMA, DMGV, and phosphocreatine, were associated with mortality. These associations were replicated in a pooled analysis of three independent American cohorts (type 2 diabetes HR = 1.09, 95%CI: 1.05-1.13; HOMA-IR HR = 1.04, 95%CI: 1.00-1.09).CONCLUSIONS: In an older population at high cardiometabolic risk, metabolomic scores of type 2 diabetes and insulin resistance were associated with total mortality risk, potentially explaining some mechanisms behind the increased risk of mortality observed in epidemiological studies for individuals with glycemic dysregulations. |
| Year of Publication | 2026
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| Journal | Metabolism: clinical and experimental
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| Pages | 156599
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| Date Published | 03/2026
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| ISSN | 1532-8600
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| DOI | 10.1016/j.metabol.2026.156599
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| PubMed ID | 41881293
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