Identification and experimental validation of immune-related gene PPARG is involved in ulcerative colitis

溃疡性结肠炎 鉴定(生物学) 免疫系统 病理生理学 结肠炎 生物 免疫学 医学 病理 疾病 植物
作者
Yang Li,Fangfang Yan,Jing Xiang,Wenjian Wang,Kangping Xie,Lianxiang Luo
出处
期刊:Biochimica Et Biophysica Acta: Molecular Basis Of Disease [Elsevier BV]
卷期号:1870 (7): 167300-167300 被引量:13
标识
DOI:10.1016/j.bbadis.2024.167300
摘要

The pathophysiology of ulcerative colitis (UC) is believed to be heavily influenced by immunology, which presents challenges for both diagnosis and treatment. The main aims of this study are to deepen our understanding of the immunological characteristics associated with the disease and to identify valuable biomarkers for diagnosis and treatment. The UC datasets were sourced from the GEO database and were analyzed using unsupervised clustering to identify different subtypes of UC. Twelve machine learning algorithms and Deep learning model DNN were developed to identify potential UC biomarkers, with the LIME and SHAP methods used to explain the models' findings. PPI network is used to verify the identified key biomarkers, and then a network connecting super enhancers, transcription factors and genes is constructed. Single-cell sequencing technology was utilized to investigate the role of Peroxisome Proliferator Activated Receptor Gamma (PPARG) in UC and its correlation with macrophage infiltration. Furthermore, alterations in PPARG expression were validated through Western blot (WB) and immunohistochemistry (IHC) in both in vitro and in vivo experiments. By utilizing bioinformatics techniques, we were able to pinpoint PPARG as a key biomarker for UC. The expression of PPARG was significantly reduced in cell models, UC animal models, and colitis models induced by dextran sodium sulfate (DSS). Interestingly, overexpression of PPARG was able to restore intestinal barrier function in H2O2-induced IEC-6 cells. Additionally, immune-related differentially expressed genes (DEGs) allowed for efficient classification of UC samples into neutrophil and mitochondrial metabolic subtypes. A diagnostic model incorporating the three disease-specific genes PPARG, PLA2G2A, and IDO1 demonstrated high accuracy in distinguishing between the UC group and the control group. Furthermore, single-cell analysis revealed that decreased PPARG expression in colon tissue may contribute to the polarization of M1 macrophages through activation of inflammatory pathways. In conclusion, PPARG, a gene related to immunity, has been established as a reliable potential biomarker for the diagnosis and treatment of UC. The immune response it controls plays a key role in the progression and development of UC by enabling interaction between characteristic biomarkers and immune infiltrating cells.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
YINZHE发布了新的文献求助10
1秒前
科研通AI6.3应助Hantheex采纳,获得10
1秒前
yuliang发布了新的文献求助10
1秒前
张弛发布了新的文献求助10
1秒前
1秒前
科研通AI2S应助yuri采纳,获得10
2秒前
4秒前
qian发布了新的文献求助10
4秒前
QQ发布了新的文献求助10
5秒前
DDD给DDD的求助进行了留言
5秒前
6秒前
纵歌发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
科研通AI6.2应助尔玉采纳,获得30
7秒前
跳跃忆安完成签到,获得积分10
7秒前
orixero应助扬眉亮剑采纳,获得10
8秒前
deng发布了新的文献求助10
8秒前
格物致知发布了新的文献求助10
9秒前
风趣的梦露完成签到,获得积分10
10秒前
11秒前
潇洒的嵩完成签到,获得积分10
14秒前
开心绮琴发布了新的文献求助20
14秒前
爆米花应助excellent采纳,获得10
14秒前
我是老大应助weixiao采纳,获得10
16秒前
幸福采梦应助三毛不流浪采纳,获得10
17秒前
烧饼拌糖完成签到,获得积分10
17秒前
ludwig完成签到,获得积分10
18秒前
11155完成签到,获得积分10
18秒前
19秒前
ZHANG发布了新的文献求助10
19秒前
20秒前
21秒前
21秒前
21秒前
22秒前
22222发布了新的文献求助10
22秒前
田江立发布了新的文献求助10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7344147
求助须知:如何正确求助?哪些是违规求助? 8956659
关于积分的说明 19017244
捐赠科研通 6996093
什么是DOI,文献DOI怎么找? 3219668
关于科研通互助平台的介绍 2384722
邀请新用户注册赠送积分活动 2199858