Longitudinal metabolic trajectories in Diabetes Prevention Program participants reveal subgroups with varying micro and macrovascular complication risks
<p dir="ltr"><b>Objective</b>: Type 2 diabetes (T2D) and its associated complications develop heterogeneously over decades, but few studies span the progression from prediabetes to clinical events. We investigated whether long-term metabolic trajectories beginning in prediabetes delineate subgroups with differential complication risk.</p><p><br></p><p dir="ltr"><b>Research Design and Methods</b>: Clinical data from 1,732 Diabetes Prevention Program/Outcomes Study participants (follow-up 19 years) were analyzed across 12 phenotypes. Tensor decomposition was used to capture longitudinal patterns, and Gaussian Mixture Modeling to define longitudinal clusters. Cluster-specific complications were quantified with Cox and logistic regression.</p><p><br></p><p dir="ltr"><b>Results</b>: Four clusters emerged. Clusters 1 and 2 (73% of participants) maintained stable glycemia, blood pressure, and lipids. Although 49% and 71% developed T2D, cumulative micro and macrovascular events remained low. Cluster 3 (12%) showed the steepest rise in insulin resistance and hyperglycemia, with 92% of participants progressing to T2D and markedly higher rate of retinopathy (odds ratio (OR) 8.8, 95% CI 3.9-20.1) and neuropathy (OR 3.4, 95% CI 2.1-5.5). Cluster 4 (15%) presented with baseline microalbuminuria often prior to the development of T2D (73%). It was distinguished by progressive eGFR decline and a doubling of cardiovascular events (hazard ratio 2.0, 95% CI 1.4-3.0) despite comparable serum lipids to other groups.</p><p><br></p><p dir="ltr"><b>Conclusions</b>: Two-thirds of individuals with prediabetes follow metabolically resilient trajectories, whereas distinct insulin-resistant or renal-dysfunction trajectories precede micro or macrovascular complications respectively. The optimal window for macrovascular complication prevention in individuals with prediabetic microalbuminuria may precede progression to T2D.</p>
Authors
- Sunder Mudaliar (ORCID: https://orcid.org/0000-0002-1133-7771)
- Marinella Temprosa (ORCID: https://orcid.org/0000-0002-9976-745X)
- Amit R. Majithia (ORCID: https://orcid.org/0000-0001-9978-2644)
- Nathaniel Linden-Santangeli (ORCID: https://orcid.org/0000-0001-7619-6722)
- Padmini Rangamani (ORCID: https://orcid.org/0000-0001-5953-4347)
- Christopher B. Toomey (ORCID: https://orcid.org/0000-0003-0341-7787)
- Sharon L. Edelstein (ORCID: https://orcid.org/0000-0001-8457-4404)
- Emily Kobayashi (ORCID: https://orcid.org/0000-0002-9041-5167)
- Ravi Goyal (ORCID: https://orcid.org/0000-0002-0358-2435)
- Nicholas B. Chan
Publication Details
- Published
- 2025-08-26
- DOI
- https://doi.org/10.2337/figshare.29647037.v1
- Primary Topic
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Type
- article
- Field-Weighted Citation Impact
- 0.00