| 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 |
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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 |
Case Control Study |
| Article Title |
Mitochondrial mt12361A > G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ming-Ying Lu, Yu-Ju Wei, Chih-Wen Wang, Po-Cheng Liang, Ming‑Lun Yeh, Yi-Shan Tsai, Pei-Chien Tsai, Yu-Min Ko, Ching-Chih Lin, Kuan-Yu Chen, Yi-Hung Lin, Tyng-Yuan Jang, Ming-Yen Hsieh, Zu-Yau Lin, Chung-Feng Huang, Jee-Fu Huang, Chia-Yen Dai, Wan-Long Chuang and Ming-Lung Yu |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| “Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung” |
No. NSTC 112-2321-B-001-006 |
| The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan |
No. MOHW112-TDU-B-221-124007 |
|
| Corresponding Author |
Ming-Lung Yu, Professor, Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, No. 100 Shih-Chuan 1st Road, Sanmin District, Kaohsiung 80708, Taiwan. fish6069@gmail.com |
| Key Words |
Metabolic dysfunction-associated steatotic liver disease; Mitochondrial DNA; Artificial intelligence; Machine learning; Algorithm |
| Core Tip |
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a systemic metabolic disorder affecting the liver-kidney-heart axis. Mitochondrial dysfunction drives the progression of liver steatosis into steatohepatitis and hepatic fibrosis. The mitochondrial mt12361A > G variant increased the severity of MASLD in the non-diabetic group but not in the diabetic group. By integrating genomics and machine learning, we established a random forest model to screen for MASLD with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.876 in the validation dataset. The artificial intelligence model supports the prevention, screening, and management of MASLD in primary care. |
| Publish Date |
2025-02-26 04:21 |
| Citation |
<p>Lu MY, Wei YJ, Wang CW, Liang PC, Yeh M, Tsai YS, Tsai PC, Ko YM, Lin CC, Chen KY, Lin YH, Jang TY, Hsieh MY, Lin ZY, Huang CF, Huang JF, Dai CY, Chuang WL, Yu ML. Mitochondrial mt12361A > G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes. <i>World J Gastroenterol</i> 2025; 31(10): 103716</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i10/103716.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i10.103716 |
