PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 14, 20257 citations

Multiomics Integration of Epigenetics, Proteomics, and Metabolomics Identifies Putative Drug Targets and Improves Early Prediction for Diabetes.

View Full Paper
WLWenran LiYCYifan ChengACAoyuan Cui

Key Points

  • Integration of multiomics identified 43 CpGs and 25 metabolites for diabetes, enhancing prediction accuracy.
  • Among 175 CpGs, 29 proteins, and 93 metabolites identified, 20 biomarkers and 190 signaling pathways were linked to diabetes.
  • Experimental validation confirmed COLEC11's role in lipid metabolism, which may guide future diabetes therapies.
  • The prioritization of diabetes biomarkers suggests potential therapeutic targets, emphasizing the need for further clinical exploration.

Abstract

A total of 175 CpGs, 29 proteins, and 93 metabolites were identified as associated with diabetes, among which 43 CpGs and 25 metabolites were validated in an independent cohort. Causal and mediation analyses revealed 20 biomarkers and 190 signaling pathways involved in diabetes development. The integrative multiomics prioritization provides the community with an ordered list of diabetes biomarkers. We experimentally validated one of the prioritized proteins, COLEC11, and demonstrated its involvement in lipid metabolism. Our findings prioritize potential therapeutic targets and demonstrate that integrating multiomics biomarkers improves diabetes risk prediction beyond traditional clinical models.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68c6df7533b72be0b5e43ec8https://doi.org/10.2337/db25-0354
Ask AI
Helpful
Bookmark
Share
View Full Paper