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HMGCS2和AMACR作为连接线粒体功能障碍与溃疡性结肠炎的潜在靶点。

HMGCS2 and AMACR as potential targets linking mitochondrial dysfunction and ulcerative colitis.

作者信息

Zhu Rui, Bai Xinyu, Li Zhangqin, Liang Hao, Song Huixian, Chen Lifang, Miao Yinglei, Zhang Fengrui, Niu Junkun

机构信息

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

Yunnan Province Clinical Research Center for Digestive Diseases, Kunming, China.

出版信息

Sci Rep. 2024 Dec 30;14(1):31783. doi: 10.1038/s41598-024-82900-y.

Abstract

Ulcerative colitis (UC) is characterised notably by an imbalance in intestinal mucosal homeostasis. Although mitochondrial dysfunction has been identified as a potential contributor to this imbalance, it remains an incomplete understanding. Consequently, further investigation into the role of mitochondria in UC is warranted. The study focusing on the GSE87466 dataset for differential gene expression analysis. Mitochondria-related genes were sourced from the MitoCart3.0 database. Weighted Gene Co-expression Network Analysis (WGCNA) was employed to identify hub genes. The intersection of DEGs, hub genes, and mitochondria-related genes facilitated the identification of 14 mitochondria-related differentially expressed genes (MitoDEGs). Three machine learning algorithms were then applied to select signature MitoDEGs specific to UC: HMGCS2 and AMACR. They have decreased expression in UC patients and have a high diagnostic value for UC. In the inflammatory environment, knockout of both HMGCS2 and AMACR showed disruption of mitochondrial structure and function. Among them, the AMACR knockdown group had an increased number of damaged mitochondria and a significant reduction in the length, area and circumference of MAMs. Therefore, the study identified two new signature MitoDEGs in UC. HMGCS2 and AMACR provide insights into the interplay between mitochondrial dysfunction and UC intestinal mucosal homeostasis.

摘要

溃疡性结肠炎(UC)的显著特征是肠道黏膜稳态失衡。尽管线粒体功能障碍已被确定为导致这种失衡的一个潜在因素,但目前对此仍未完全了解。因此,有必要进一步研究线粒体在UC中的作用。该研究聚焦于GSE87466数据集进行差异基因表达分析。线粒体相关基因来自MitoCart3.0数据库。采用加权基因共表达网络分析(WGCNA)来识别枢纽基因。通过对差异表达基因(DEGs)、枢纽基因和线粒体相关基因的交集分析,确定了14个线粒体相关差异表达基因(MitoDEGs)。随后应用三种机器学习算法来筛选UC特有的标志性MitoDEGs:HMGCS2和AMACR。它们在UC患者中表达降低,对UC具有较高的诊断价值。在炎症环境中,敲除HMGCS2和AMACR均显示线粒体结构和功能受到破坏。其中,AMACR基因敲低组受损线粒体数量增加,线粒体相关内质网膜(MAMs)的长度、面积和周长显著减小。因此,该研究在UC中鉴定出两个新的标志性MitoDEGs。HMGCS2和AMACR为线粒体功能障碍与UC肠道黏膜稳态之间的相互作用提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046d/11686238/1910c2486927/41598_2024_82900_Fig1_HTML.jpg

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