BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
10/31/2024 10:42:49 AM | Browse: 128 | Download: 504
 |
Received |
|
2024-08-20 03:21 |
 |
Peer-Review Started |
|
2024-09-04 13:46 |
 |
First Decision by Editorial Office Director |
|
2024-09-15 20:25 |
 |
Return for Revision |
|
2024-09-15 20:25 |
 |
Revised |
|
2024-09-20 09:20 |
 |
Publication Fee Transferred |
|
|
 |
Second Decision by Editor |
|
2024-10-14 02:37 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2024-10-14 05:57 |
 |
Articles in Press |
|
2024-10-14 05:57 |
 |
Edit the Manuscript by Language Editor |
|
2024-10-20 01:13 |
 |
Typeset the Manuscript |
|
2024-10-22 11:18 |
 |
Publish the Manuscript Online |
|
2024-10-31 10:42 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Interplay of gut microbiota, glucagon-like peptide receptor agonists, and nutrition: New frontiers in metabolic dysfunction-associated steatotic liver disease therapy
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Merve Guney-Coskun and Metin Basaranoglu |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Merve Guney-Coskun, Department of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Medipol University, Kavacık, Göztepe Mah, No. 40 Atatürk Cd, Istanbul 34810, Türkiye. merve.guney@medipol.edu.tr |
| Key Words |
Metabolic dysfunction-associated steatotic liver disease; Glucagon-like peptide-1 receptor agonists; Gut microbiome; Gut-liver axis; Diet intervention |
| Core Tip |
The gut-liver axis is integral to the progression of various diseases, with key metabolites like lipopolysaccharides, short-chain fatty acids, bile-acids, immune factors, inflammatory cytokines, and beneficial bacteria such as Bifidobacterium and Lactobacillus playing pivotal roles. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) contribute to substantial weight loss, enhance insulin secretion, reduce appetite, and improve liver health by restoring gut-liver axis functionality. Dietary modifications can amplify these benefits, while gut microbiome-targeted therapies may offer additional advantages in treating metabolic dysfunction-associated steatotic liver disease. Future multi-omics research will underscore the importance of personalized GLP-1 RAs treatment considering gut microbiota effects, with prebiotics and probiotics potentially improving liver health via the gut microbiota. |
| Publish Date |
2024-10-31 10:42 |
| Citation |
Guney-Coskun M, Basaranoglu M. Interplay of gut microbiota, glucagon-like peptide receptor agonists, and nutrition: New frontiers in metabolic dysfunction-associated steatotic liver disease therapy. World J Gastroenterol 2024; 30(43): 4682-4688 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i43/4682.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i43.4682 |
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.