Liu XY, Qiao D, Zhang YL, Liu ZX, Chen YL, Que RY, Cao HY, Dai YC. Identification of marker genes associated with N6-methyladenosine and autophagy in ulcerative colitis. World J Clin Cases 2024; 12(10): 1750-1765 [PMID: 38660076 DOI: 10.12998/wjcc.v12.i10.1750]
Corresponding Author of This Article
Yan-Cheng Dai, PhD, Chief Doctor, Department of Gastroenterology, Shanghai Traditional Chinese Medicine-Integrated Hospital Shanghai University of Traditional Chinese Medicine, No. 230 Baoding Road, Hongkou District, Shanghai 200082, China. daiyancheng2005@126.com
Research Domain of This Article
Medical Informatics
Article-Type of This Article
Clinical and Translational Research
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Apr 6, 2024 (publication date) through Mar 5, 2026
Times Cited of This Article
Times Cited (0)
Journal Information of This Article
Publication Name
World Journal of Clinical Cases
ISSN
2307-8960
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Share the Article
Liu XY, Qiao D, Zhang YL, Liu ZX, Chen YL, Que RY, Cao HY, Dai YC. Identification of marker genes associated with N6-methyladenosine and autophagy in ulcerative colitis. World J Clin Cases 2024; 12(10): 1750-1765 [PMID: 38660076 DOI: 10.12998/wjcc.v12.i10.1750]
World J Clin Cases. Apr 6, 2024; 12(10): 1750-1765 Published online Apr 6, 2024. doi: 10.12998/wjcc.v12.i10.1750
Identification of marker genes associated with N6-methyladenosine and autophagy in ulcerative colitis
Xiao-Yan Liu, Dan Qiao, Ya-Li Zhang, Zi-Xuan Liu, You-Lan Chen, Ren-Ye Que, Hong-Yan Cao, Yan-Cheng Dai
Xiao-Yan Liu, Dan Qiao, Zi-Xuan Liu, Ren-Ye Que, Hong-Yan Cao, Yan-Cheng Dai, Department of Gastroenterology, Shanghai Traditional Chinese Medicine-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
Ya-Li Zhang, Institute of Digestive Diseases, Long Hua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
You-Lan Chen, Department of Gastroenterology, Shu Guang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
Author contributions: Liu XY and Qian D authored the paper and contributed equally to this work; Dai YC conceived and designed the experiments; Zhang YL, Liu ZX, and Chen YL performed the experiments; Que RY analyzed the data; Cao HY provided reagents/materials/analysis tools; all authors have read and approved the final manuscript.
Supported bythe National Natural Science Foundation of China, No. 81873253; the Shanghai Natural Science Foundation, No. 22ZR1458800; the scientific research Project Plan of Shanghai Municipal Health Commission, No. 202240385; and the Xinglin Scholar Program of Shanghai University of Traditional Chinese Medicine, No. [2020]23; the Hongkou District Health Committee, No. HKZK2020A01.
Institutional review board statement: This article is a bioinformatic analysis of the Gene Expression Omnibus (GEO) database and involve animal experiments.
Institutional animal care and use committee statement: All animal experiments conformed to the internationally accepted principles for the care and use of laboratory animals (No. PZSHUTCM210611001, the Animal Ethics Committee of the Shanghai University of Traditional Chinese Medicine).
Clinical trial registration statement: This study is registered at Chinese Clinical Trial Registry. The registration identification number is ChiCTR2300068348.
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: All authors report no conflicts of interest in this work.
ARRIVE guidelines statement: The authors have read the ARRIVE guidelines, and the manuscript was prepared and revised according to the ARRIVE guidelines.
Corresponding author: Yan-Cheng Dai, PhD, Chief Doctor, Department of Gastroenterology, Shanghai Traditional Chinese Medicine-Integrated Hospital Shanghai University of Traditional Chinese Medicine, No. 230 Baoding Road, Hongkou District, Shanghai 200082, China. daiyancheng2005@126.com
Received: January 1, 2024 Peer-review started: January 1, 2024 First decision: January 16, 2024 Revised: January 21, 2024 Accepted: February 29, 2024 Article in press: February 29, 2024 Published online: April 6, 2024 Processing time: 91 Days and 21.6 Hours
ARTICLE HIGHLIGHTS
Research background
Both N6-methyladenosine (m6A) methylation and autophagy are considered relevant to the pathogenesis of ulcerative colitis (UC). However, a systematic exploration of the role of the combination of m6A methylation and autophagy in UC remains to be performed.
Research motivation
In this study, we used publicly available data related to UC and comprehensive bioinformatics methods to elucidate the autophagy-related genes of m6A with a diagnostic value for UC, thereby contributing to the development of treatment options for patients with UC.
Research objectives
To elucidate the autophagy-related genes of m6A with a diagnostic value for UC.
Research methods
The correlation between m6A-related genes and autophagy-related genes (ARGs) was analysed. Finally, gene set enrichment analysis (GSEA) was performed on the characteristic genes. Additionally, the expression levels of four characteristic genes were verified in DSS-induced colitis in mice.
Research results
GSEA indicated that BAG3, P4HB and TP53INP2 were involved in the inflammatory response and TNF-α signalling via NF- κB. Furthermore, polymerase chain reaction results showed significantly higher mRNA levels of BAG3 and P4HB and lower mRNA levels of FMR1 and TP53INP2 in the DSS group compared to the control group.
Research conclusions
This study identified four m6A-ARGs that predict the occurrence of UC, thus providing a scientific reference for further studies on the pathogenesis of UC.
Research perspectives
The specific regulatory mechanisms of these genes need further experimental research and clinical application research.