BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
8/20/2026 6:54:18 AM | Browse: 2 | Download: 10
 |
Received |
|
2025-12-28 05:01 |
|
Peer-Review Started |
|
2025-12-28 05:01 |
|
First Decision by Editorial Office Director |
|
2026-01-12 08:32 |
|
Return for Revision |
|
2026-01-12 08:32 |
|
Revised |
|
2026-01-22 08:00 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2026-02-27 02:41 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2026-02-27 07:17 |
|
Articles in Press |
|
2026-02-27 07:17 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2026-07-11 04:23 |
|
Publish the Manuscript Online |
|
2026-08-20 06:54 |
| ISSN |
1948-0210 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Cell Biology |
| Manuscript Type |
Correspondence |
| Article Title |
Letter to the Editor: Metabolic reprogramming - unlocking the full potential of stem cell therapy in wound repair
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Si-Feng Wang and Xiang-Wen Peng |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Clinical Medical Technology Demonstration Base for Genetic Research of Fetal Congenital Heart Disease in Hunan Province |
2021SK4036 |
| Natural Science Foundation of Hunan Province |
2023JJ30063 |
| Changsha Science and Technology Bureau Natural Science Surface Project |
kq2202030, kh2201045 |
| National Natural Science Foundation of China |
32070817 |
|
| Corresponding Author |
Xiang-Wen Peng, Research Dean, Central Laboratory, Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, No. 416 East Chengnan Road, Yuhua District, Changsha 410001, Hunan Province, China. pxw1237@163.com |
| Key Words |
Alpha-ketoglutarate; Hypoxia-inducible factor-1α; Adipose-derived stem cells; Stem cell therapy; Metabolic reprogramming |
| Core Tip |
This article reinterprets the seminal work by Dilimulati et al to propose that α-ketoglutarate-mediated metabolic preconditioning represents a transformative strategy in regenerative medicine. By stabilizing hypoxia-inducible factor-1α, α-ketoglutarate simultaneously enhances redox homeostasis through glutamine-to-glutathione conversion and sustains bioenergetics via glycogen storage, offering adipose-derived stem cells a dual survival shield against the hostile wound microenvironment. This approach transcends conventional cell therapy limitations and charts a clinically feasible path toward precision regenerative medicine. |
| Publish Date |
2026-08-20 06:54 |
| Citation |
Wang SF, Peng XW. Letter to the Editor: Metabolic reprogramming - unlocking the full potential of stem cell therapy in wound repair. World J Stem Cells 2026; 18(8): 118193
|
| URL |
https://www.wjgnet.com/1948-0210/full/v18/i8/118193.htm |
| DOI |
https://doi.org/10.4252/wjsc.118193 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
