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Articles Published Processes
4/27/2025 3:54:33 AM | Browse: 112 | Download: 553
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Received |
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2025-02-13 06:42 |
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Peer-Review Started |
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2025-02-13 06:43 |
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First Decision by Editorial Office Director |
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2025-03-04 16:04 |
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Return for Revision |
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2025-03-04 16:04 |
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Revised |
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2025-03-17 03:33 |
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Publication Fee Transferred |
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2025-03-18 02:20 |
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Second Decision by Editor |
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2025-04-09 02:41 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-04-09 07:22 |
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Articles in Press |
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2025-04-09 07:22 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-04-17 09:00 |
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Publish the Manuscript Online |
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2025-04-27 03:54 |
| 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) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| 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 |
Retrospective Study |
| Article Title |
Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ying Zhu, Shi-Yu Geng, Yao Chen, Qing-Jing Ru, Yi Zheng, Na Jiang, Fei-Ye Zhu and Yong-Sheng Zhang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Zhejiang Provincial Natural Science Foundation |
No. LZ22H270001 |
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| Corresponding Author |
Yong-Sheng Zhang, PhD, School of Basic Medicine, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou 310053, Zhejiang Province, China. alex.yszhang@zcmu.edu.cn |
| Key Words |
Chronic hepatitis B virus infection; Hepatic fibrosis; Liver stiffness; Fecal microbiomes; Serum intestinal mucosal barrier |
| Core Tip |
This study employs machine learning to identify gut microbiota signatures associated with hepatic fibrosis (HF) in chronic hepatitis B (CHB). Key findings reveal Dorea as a pivotal microbial marker, with its abundance inversely correlated to HF severity and linked to liver function indicators (γ-glutamyl transferase, alkaline phosphatase, total bilirubin, aspartate aminotransferase/alanine transaminase). Using advanced machine learning models such as eXtreme gradient boosting and random forest, we reveal dysregulated metabolic pathways contributing to HF progression, emphasizing gut-liver axis interactions. These results highlight Dorea as a potential biomarker for early HF detection and a therapeutic target, advancing non-invasive diagnostic strategies and microbiome-based interventions for CHB-related fibrosis. |
| Publish Date |
2025-04-27 03:54 |
| Citation |
Zhu Y, Geng SY, Chen Y, Ru QJ, Zheng Y, Jiang N, Zhu FY, Zhang YS. Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis. World J Gastroenterol 2025; 31(16): 105985 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i16/105985.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i16.105985 |
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