Suppr超能文献

基于机器学习的溃疡性结肠炎中O-糖基化相关基因及亚型的鉴定

Identification of O-glycosylation related genes and subtypes in ulcerative colitis based on machine learning.

作者信息

Lu Yue, Su Yi, Wang Nan, Li Dongyue, Zhang Huichao, Xu Hongyu

机构信息

Department of Gastroenterology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.

出版信息

PLoS One. 2024 Dec 31;19(12):e0311495. doi: 10.1371/journal.pone.0311495. eCollection 2024.

Abstract

Ulcerative colitis (UC) is an immune-related inflammatory bowel disease, with its underlying mechanisms being a central area of clinical research. O-GlcNAcylation plays a critical role in regulating immunity progression and the occurrence of inflammatory diseases and tumors. Yet, the mechanism of O-GlcNAc-associated colitis remains to be elucidated. To this end, the transcriptional and clinical data of GSE75214 and GSE92415 from the GEO database was hereby examined, and genes MUC1, ADAMTS1, GXYLT2, and SEMA5A were found to be significantly related to O-GlcNAcylation using machine learning methods. Based on the four hub genes, two UC subtypes were built. Notably, subtype B might be prone to developing colitis-associated colorectal cancer (CAC). This study delved into the role of intestinal glycosylation changes, especially the O-GlcNAcylation, and forged a foundation for further research on the occurrence and development of UC. Overall, understanding the role of O-GlcNAcylation in UC could have significant implications for diagnosis and treatment, offering valuable insights into the disease's progression.

摘要

溃疡性结肠炎(UC)是一种免疫相关的炎症性肠病,其潜在机制是临床研究的核心领域。O-连接的N-乙酰葡糖胺糖基化(O-GlcNAcylation)在调节免疫进程以及炎症性疾病和肿瘤的发生中起关键作用。然而,O-GlcNAc相关结肠炎的机制仍有待阐明。为此,本研究检查了来自基因表达综合数据库(GEO数据库)的GSE75214和GSE92415的转录和临床数据,并使用机器学习方法发现MUC1、ADAMTS1、GXYLT2和SEMA5A基因与O-GlcNAcylation显著相关。基于这四个枢纽基因,构建了两种UC亚型。值得注意的是,B亚型可能更容易发展为结肠炎相关结直肠癌(CAC)。本研究深入探讨了肠道糖基化变化的作用,尤其是O-GlcNAcylation,为进一步研究UC的发生和发展奠定了基础。总体而言,了解O-GlcNAcylation在UC中的作用可能对诊断和治疗具有重要意义,为该疾病的进展提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf70/11687659/58b8b04a80f6/pone.0311495.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验