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Biological age acceleration transitions associated with higher type 2 diabetes and mortality risk in UK Biobank cohort

Biological age acceleration transitions associated with higher type 2 diabetes and mortality risk in…
Photo by Logan Voss / Unsplash
Key Takeaway
Consider biological age acceleration markers as potential risk indicators, but recognize associations do not prove causation.

This observational cohort study analyzed 13,751 participants from the UK Biobank over a median follow-up of 9.5 years. Researchers assessed associations between dynamic changes in biological age acceleration (measured by KDMAccel and PhenoAgeAccel metrics) and the outcomes of incident type 2 diabetes and all-cause mortality. The study did not report a specific comparator but evaluated risks relative to non-accelerated aging or lower burdens.

During follow-up, 412 participants (3.0%) developed type 2 diabetes and 609 (4.4%) died from any cause. Transitioning from non-accelerated to accelerated biological aging was associated with elevated type 2 diabetes risk (KDMAccel HR=1.65 [1.24-2.20]; PhenoAgeAccel HR=1.50 [1.12-2.00]) and all-cause mortality risk (KDMAccel HR=1.32 [1.06-1.64]; PhenoAgeAccel HR=2.17 [1.73-2.71]). Cumulative biological age acceleration burden also showed associations with increased risks for both outcomes.

Safety and tolerability data were not reported. The study's practice relevance lies in the finding that incorporating biological age acceleration burden into the FINDRISC diabetes prediction tool significantly enhanced prediction accuracy, with up to 10.9% improvement in some specific aging transition statuses. Key limitations include the observational design, which cannot establish causation, and the specific UK Biobank population, limiting generalizability. Funding and conflicts of interest were not reported.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Background: Accelerated biological aging (BioAgeAccel) has been implicated in type II diabetes (T2D) mellitus development; however, its dynamic changes and their links to T2D incidence, mortality and glycemic traits remain unclear. Methods: Leveraging repeated measures from the UK Biobank, we first calculated two BioAgeAccel metrics (KDMAccel and PhenoAgeAccel) and derived three burdens (slope, cumulative, and relative cumulative change). We then assessed associations of BioAgeAccel transitions and these burdens with incident T2D and mortality. Secondary analyses extended the two primary outcomes by incorporating glucose, HbA1c, and six IR surrogates, which were also evaluated as potential mediators. Results: Among 13,751 included participants, 412 (3.0%) new T2D cases and 609 (4.4%) all-cause deaths were identified within a median follow-up of 9.5 years. Dynamic transition from non-accelerated to accelerated aging was markedly related to elevated T2D risk (KDMAccel: HR=1.65 [1.24~2.20]; PhenoAgeAccel: HR=1.50 [1.12~2.00]) and all-cause mortality risk (KDMAccel: HR=1.32 [1.06~1.64]; PhenoAgeAccel: HR=2.17 [1.73~2.71]). BioAgeAccel burdens demonstrated dose-response effects, with cumulative BioAgeAccel showing the greatest influence on T2D (KDMAccel: HR=1.25 [1.03~1.51]; PhenoAgeAccel: HR=1.26 [1.06~1.49]) and all-cause mortality (KDMAccel: HR=1.25 [1.07~1.47]; PhenoAgeAccel: HR=1.51 [1.31~1.74]). Similar association patterns were observed for all the eight glycemic traits. Mediation analyses revealed that these glycemic traits on average mediated 19~32% of the KDMAccel burden-T2D effect and 16~24% of the PhenoAgeAccel burden-T2D effect. Incorporating BioAgeAccel burden into FINDRISC significantly enhanced prediction accuracy, reaching up to 10.9% improvement in some specific aging transition statuses. Conclusion: Dynamic biological aging trajectories and BioAgeAccel burdens are independently related to elevated risks of T2D and all-cause mortality, partly via glycemic dysregulation, highlighting biological aging as a potential intervention target.
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