BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
6/13/2025 11:47:56 AM | Browse: 100 | Download: 680
 |
Received |
|
2025-01-30 06:55 |
|
Peer-Review Started |
|
2025-01-30 06:55 |
|
First Decision by Editorial Office Director |
|
2025-03-14 11:01 |
|
Return for Revision |
|
2025-03-14 11:01 |
|
Revised |
|
2025-03-27 17:37 |
|
Publication Fee Transferred |
|
2025-03-31 13:57 |
|
Second Decision by Editor |
|
2025-05-07 01:46 |
|
Second Decision by Editor-in-Chief |
|
2025-05-12 16:06 |
|
Final Decision by Editorial Office Director |
|
2025-05-14 07:19 |
|
Articles in Press |
|
2025-05-14 07:19 |
 |
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2025-06-06 01:27 |
|
Publish the Manuscript Online |
|
2025-06-13 11:47 |
| ISSN |
1948-9358 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| 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 |
| Category |
Endocrinology & Metabolism |
| Manuscript Type |
Prospective Study |
| Article Title |
Identification and validation of serum amino acids as diagnostic biomarkers for diabetic peripheral neuropathy
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Wei-Sheng Xu, Huan Xing, Qing-Qing Wang, Hui Qi, Jian-Tao He, Tong Jin, Yan-Peng Kan, Shi-Yu Sun, Ji-Ying Wang and Fu-Qing Lin |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Youth Fund for Specialized Clinical Research of the Health Commission |
20214Y0149 |
|
| Corresponding Author |
Fu-Qing Lin, Chief Physician, Department of Pain Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Yanchang Middle Road, Jingan District, Shanghai 200072, China. fuqinglin@tongji.edu.cn |
| Key Words |
Diabetic peripheral neuropathy; Type 2 diabetes mellitus; Arginine; Tyrosine; Glutamic acid |
| Core Tip |
This study involves the most extensive identification of serum amino acids as biomarkers for the detection of diabetic peripheral neuropathy (DPN), including the use of both training and validation cohorts. This is the first study demonstrating that a signature consisting of 3 serum amino acids (arginine, tyrosine, and glutamic acid) and diabetes duration can successfully distinguish DPN from type 2 diabetes mellitus with acceptable accuracy. Thirteen DPN patients received treatment in our department, and their clinical symptoms were relieved; moreover, their serum arginine and tyrosine levels were significantly increased, which may reflect the reliability of our model. These findings may provide potential therapeutic targets for the diagnosis and treatment of DPN. |
| Publish Date |
2025-06-13 11:47 |
| Citation |
Xu WS, Xing H, Wang QQ, Qi H, He JT, Jin T, Kan YP, Sun SY, Wang JY, Lin FQ. Identification and validation of serum amino acids as diagnostic biomarkers for diabetic peripheral neuropathy. World J Diabetes 2025; 16(6): 105592
|
| URL |
https://www.wjgnet.com/1948-9358/full/v16/i6/105592.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v16.i6.105592 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
