Blood Metabolomic Signatures of 1-Hour Glucose Predict Cardiometabolic Risk.

Circ ResSep 1, 2026 (epub)
Clinical ResearchEndocrinologyCardiology

Yoriko Heianza, Minghao Kou, Xuan Wang et al.

✦ AI-curated · Sources linked

In 30 seconds

This study examined whether fasting blood metabolomic signatures associated with 1-hour glucose during an oral glucose tolerance test also track glycemic changes and cardiometabolic risk. Analyses combined metabolomics from the OmniCarb trial, a dietary weight-loss intervention trial, and prospective data from the Nurses’ Health Study. The metabolomic risk score correlated with 1-hour glucose (Pearson r =0.8) and was associated with subsequent disease: women in the highest versus lowest 20% had a relative risk of 3.80 (95% CI, 2.22-6.51) for type 2 diabetes and 1.48 (95% CI, 1.04-2.12) for coronary heart disease.

Key findings

  • The fasting metabolomic risk score predicted 1-hour glucose with Pearson r =0.8.
  • In the Nurses’ Health Study, the highest versus lowest 20% of the score was associated with T2D risk of 3.80 (95% CI, 2.22-6.51).
  • The corresponding relative risk for coronary heart disease was 1.48 (95% CI, 1.04-2.12).
  • Diet-related changes in the score were associated with 2-year glucose-metabolism trajectories; circulating microRNAs were implicated in these changes.

Why it matters

The findings connect a fasting blood metabolomic profile with post-load glucose, changes in glucose metabolism, and later diabetes and coronary heart disease risk. This supports the potential value of studying metabolic signatures as markers of underlying cardiometabolic processes, while the reported associations do not establish that modifying the score itself prevents disease.

What to keep in mind

The evidence combines trial analyses with prospective observational data; the disease-risk associations in the Nurses’ Health Study do not establish causality.

Source

Published in Circ Res. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

ShareTelegramLinkedIn

AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

More in Endocrinology

Want this personalized?

Stop searching the literature. Choose what you follow and xxcode will build your personalized medical digest.

  • Your specialties
  • Your filters and thresholds
  • Clinical Research + Case Reports, tuned separately
  • Automatic weekly delivery
  • Audio and text

Prefer listening? Personalized audio digests are available with Pro.

Stay updated for free

Get the 3 most interesting publications in one specialty each week.

Weekly email. Unsubscribe anytime.