| Category |
Endocrinology & Metabolism |
| Manuscript Type |
Observational Study |
| Article Title |
Plasma metabolomics reveals progressive alterations across glycemic states
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yun-Tong Liu, Li-Ping Yu, Dong-Li Zhu, Zhen-Ping Li, Jin-Ping Zhang, Ling-Ding Xie, Lu-Lu Song, Yi-Fan He, Xian Jin, Zhao-Qing Li, Rui-Fen Deng, Cong Zhang and Bo Zhang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the National High Level Hospital Clinical Research Funding |
No. 2025-NHLHCRF-JBGS-B-WZ-01 |
| the National High Level Hospital Clinical Research Funding |
No. 2025-NHLHCRF-JBGS-A-WZ-09 |
| Capital’s Funds for Health Improvement and Research |
No. 2024-1-4064 |
| the National Key Research and Development Program of China |
No. 2018YFC1313902 |
|
| Corresponding Author |
Bo Zhang, Chief Physician, MD, Professor, Department of Endocrinology, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing 100029, China. drbozhang@yahoo.com |
| Key Words |
Diabetes; Prediabetes; Metabolomics; Impaired fasting glucose; Impaired glucose tolerance |
| Core Tip |
Conventional glycemic markers may not fully capture early metabolic disturbances. In this cross-sectional study, untargeted plasma metabolomics profiled 200 participants across different glycemic stages, including normal glucose tolerance, isolated impaired fasting glucose, isolated impaired glucose tolerance, and newly diagnosed diabetes. We identified 18 core metabolites consistently altered across stages. A five-metabolite candidate panel showed exploratory potential to distinguish early dysglycemia. Weighted gene co-expression network analysis module analysis suggested differences between impaired fasting glucose and impaired glucose tolerance metabolic modules, which remain exploratory and require validation in independent cohorts. These findings provide candidate features for early stratification of dysglycemia. |
| Publish Date |
2026-09-04 05:57 |
| Citation |
Liu YT, Yu LP, Zhu DL, Li ZP, Zhang JP, Xie LD, Song LL, He YF, Jin X, Li ZQ, Deng RF, Zhang C, Zhang B. Plasma metabolomics reveals progressive alterations across glycemic states. World J Diabetes 2026; 17(9): 122419
|
| URL |
https://www.wjgnet.com/1948-9358/full/v17/i9/122419.htm |
| DOI |
https://doi.org/10.4239/wjd.122419 |
