BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
6/12/2026 10:39:46 AM | Browse: 0 | Download: 0
 |
Received |
|
2025-12-18 02:54 |
 |
Peer-Review Started |
|
2025-12-18 02:54 |
 |
First Decision by Editorial Office Director |
|
2026-01-12 09:51 |
 |
Return for Revision |
|
2026-01-12 09:51 |
 |
Revised |
|
2026-01-16 07:27 |
 |
Publication Fee Transferred |
|
2026-01-19 02:42 |
 |
Second Decision by Editor |
|
2026-03-04 02:39 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2026-03-04 04:05 |
 |
Articles in Press |
|
2026-03-04 04:05 |
 |
Edit the Manuscript by Language Editor |
|
2026-03-09 04:07 |
 |
Typeset the Manuscript |
|
2026-06-03 00:46 |
 |
Publish the Manuscript Online |
|
2026-06-12 10:39 |
| ISSN |
1007-9327 (print) and 2219-2840 (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 |
Medicine, Research & Experimental |
| Manuscript Type |
Basic Study |
| Article Title |
Differential metabolites facilitate metabolic dysfunction-associated fatty liver disease malignancy via immune evasion and M2-polarized macrophages
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jie Yang, Wen-Li Sai, Xiao-Xiao Xia, Hao Tang, Min Xu, Qun Xie, Deng-Fu Yao and Min Yao |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
32470985, 81673241 |
| Nantong Science and Technology Project |
MS2024051 |
| Nantong Federation for the Prevention and Control of Infectious Diseases |
NTCRB2025016 |
| Nantong Health Commission of China |
QN2025064 |
|
| Corresponding Author |
Deng-Fu Yao, PhD, Postdoc, Professor, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, No. 20 West Temple Road, Nantong 226001, Jiangsu Province, China. yaodf@ahnmc.com |
| Key Words |
Differential metabolites; Carnitine palmitoyl transferase-II; Immune escape; Differentially expressed genes; M2-polarized macrophages; Hepatocarcinogenesis |
| Core Tip |
Dynamic alterations of differential metabolites and immune cells were very useful for understanding metabolic dysfunction-associated fatty liver disease malignancy, with loss carnitine palmitoyl transferase-II activity and significant phosphatidylcholines and sphingomyelins via steroid biosynthesis. Interestingly, immune cells in a fat-rich microenvironment characterized by a decrease in T-cell dysfunction, an increase in programmed death ligand 1 expression for immune escape and M2-polarized macrophages to promote metabolic dysfunction-associated fatty liver disease malignancy. |
| Publish Date |
2026-06-12 10:39 |
| Citation |
Yang J, Sai WL, Xia XX, Tang H, Xu M, Xie Q, Yao DF, Yao M. Differential metabolites facilitate metabolic dysfunction-associated fatty liver disease malignancy via immune evasion and M2-polarized macrophages. World J Gastroenterol 2026; 32(24): 117849
|
| URL |
https://www.wjgnet.com/1007-9327/full/v32/i24/117849.htm |
| DOI |
https://doi.org/10.3748/wjg.117849 |
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.