Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 7, 2026Diabetes

Clustering individuals by 31 metabolites identified 3 subgroups with significantly different likelihoods of developing T2D (P=0.03) despite similar fasting glucose and insulin levels.

View Full Paper
Ask AI
Bookmark
Share

Why the study?

Do metabolome-based subgroups of individuals with prediabetes have different likelihoods of developing Type 2 Diabetes?

Population

5,567 participants, including 2,003 with prediabetes (fasting glucose 100 to <126 mg/dL)

Comparison

Metabolomic profiling and clustering into… vs Comparison between the 3 identified metabolomic…

Design

Cohort

Follow-up

20 years

Authors

AWALEXIS WOODMRMARY R. ROONEYIKIain R. Konigsberg

Discussion

Loading...

Member takes

Overview

Metabolomic profiling can identify distinct subgroups of individuals with prediabetes who have differing long-term risks of developing type 2 diabetes, independent of standard glycemic markers.

Key Points

  • This research aims to investigate whether distinct metabolomic subgroups exist in prediabetes and their relationship to the risk of developing type 2 diabetes (T2D).
  • Analyzed data from 5567 participants, including 2003 with prediabetes.
  • Used machine learning to select metabolites differentiating prediabetes from normoglycemia.
  • Employed Cox-proportional hazards models to assess T2D risk among identified subgroups over a 20-year follow-up.
  • 31 metabolites were identified that discriminated prediabetes from normoglycemia (AUC=0.96).
  • Three distinct metabolomic subgroups were identified among individuals with prediabetes.
  • Subgroups showed different likelihoods of developing T2D (P=.03), despite no differences in fasting glucose and insulin levels (p<.001).

Structured PICO

Do metabolome-based subgroups of individuals with prediabetes have different likelihoods of developing Type 2 Diabetes?

P
Population
5,567 participants, including 2,003 with prediabetes (fasting glucose 100 to <126 mg/dL)
I
Intervention
Metabolomic profiling and clustering into subgroups based on 31 prediabetes-related metabolites
C
Comparator
Comparison between the 3 identified metabolomic subgroups
O
Outcome
Development of Type 2 Diabetes (T2D) over 20 years follow-uphard clinical

Metabolomic profiling can identify distinct subgroups of individuals with prediabetes who have differing long-term risks of developing type 2 diabetes, independent of standard glycemic markers.

Cite This Study

WOOD et al. (2026) studied this question.

synapsesocial.com/papers/6a250c507def13d035e1c73chttps://doi.org/10.2337/db26-2335-p
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 12351-P: Assessment of Phenotypic Clustering of Incident and Prevalent Type 2 Diabetes: A MESA Pilot Study in the Definition, Etiology, Function: Integration to Enhance Type 2 Diabetes Treatment (DEFINE-Type 2 Diabetes) Consortium2026
  2. 2Integrative Metabolomics of Targeted and Non-Targeted Analyses in T2D Progression2025 · 4 citations
  3. 32401-P: Genetic Regulation of Molecular Traits Enhances Precision Risk Stratification in Youth-Onset Type 2 Diabetes2026
  4. 42231-P: RECLASS-T1D: Real-World Evaluation of AABBCC Criteria for Diabetes Classification: Experience from 6.7 Million U.S. Patients2026
  5. 5Longitudinal Metabolic Trajectories in Diabetes Prevention Program Participants Reveal Subgroups With Varying Micro- and Macrovascular Complication Risks2025 · 9 citations