Publication Name	World Journal of Diabetes
Manuscript ID	122419
DOI	10.4239/wjd.122419
Country	China

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.
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; In press DOI: https://doi.org/10.4239/wjd.122419
PDF	122419-in-press.pdf

Received	2026-04-27 02:35
Peer-Review Started	2026-04-27 23:53
First Decision by Editorial Office Director	2026-05-18 03:52
Return for Revision	2026-05-18 03:52
Revised	2026-05-27 07:45
Publication Fee Transferred	2026-05-29 14:36
Second Decision by Editor	2026-06-15 02:47
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-25 06:25
Articles in Press	2026-06-25 06:25
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9358 (online)
Open Access	This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com