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

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.

Authors

Institutions

Publication Details

Journal
Diabetes
Published
2025-09-12
DOI
https://doi.org/10.2337/db25-0354
Citations
6
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
4.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yingyu Cheng, Aoyuan Cui, Huating Li, Geng Zong et al.
6 citations
Diabetes
Metabolomics and Mass Spectrometry Studies
4.84
article

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

Yingyu Cheng, Aoyuan Cui, Huating Li, Geng Zong, Qi Wang, Qianqian Peng, Mingfeng Xia, Jiucun Wang, Bing‐Hua Jiang, Wenran Li, Huiru Tang, Qingxia Huang, Yu Li, Jin Li, Jiarui Li, Xin D. Gao, Yan Zheng, Chen Ding, Jian‐Ge Qiu, Sijia Wang, Mengyao Huang, Yong Wang
article en
6 citations

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.

DiabetesVol. 74(12)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fudan University (CN), Zhengzhou University (CN), Henan Academy of Sciences (CN), Fudan University Shanghai Cancer Center (CN), National Center for Mathematics and Interdisciplinary Sciences (CN), Shanghai Institute of Nutrition and Health (CN), Shanghai Sixth People's Hospital (CN), Medical Technologies (Czechia) (CZ)
Openalex Percentile: Top 5%
Metabolomics and Mass Spectrometry Studies
4.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.