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在性结肠炎中确定关键生物标志物和免疫微环境特征:使用WGCNA和多个机器学习算法进行综合分析

Yingchao Qi¹, Yichen Wang², Siyao Zhang^1,3

¹First Clinical School, Liaoning University of Traditional Chinese Medicine, Shenyang, People's Republic of China.

Journal of inflammation research

|October 13, 2025

概括

这项研究确定了十个枢纽基因作为性结肠炎 (UC),一种炎症性肠病 (IBD) 的潜在生物标志物. 基因NCF2因其在UC病原和免疫反应中的作用而受到重视,为新的诊断和治疗途径提供了新的诊断和治疗途径.

科学领域:

免疫学免疫学免疫学
胃肠病学胃肠病学
生物标志物发现发现

背景情况:

性结肠炎 (UC) 是一种由肠道免疫失调标志着的炎症性肠病 (IBD).
结核病带来了诊断和治疗方面的挑战.
识别可靠的生物标志物和了解免疫特征对于改善UC管理至关重要.

研究的目的:

为了确定UC诊断的强大的生物标志物.
为了研究UC的免疫特征.
提高诊断准确度,并为UC的治疗策略提供信息.

主要方法:

集成多个基因表达总 (GEO) 数据集.
使用差异表达分析,WGCNA,LASSO,RF和SVM-RFE识别了与UC相关的枢纽基因.
开发了一个前神经网络 (FNN) 诊断模型,并通过ROC曲线分析评估其性能.
进行免疫分析 (CIBERSORT,ssGSEA,GSVA,ESTIMATE) 和免疫组织化学.

主要成果:

确定了十个枢纽基因,包括ACOX2,MMP3,CPT2,CTSK,CHP2,VCAM1,SLC25A34,BASP1,NCF2和GLB1L2.2.
该FNN模型证明了UC的高诊断准确性.
NCF2表达与免疫细胞透和炎症得分有显著的相关性.
在UC组织中NCF2蛋白水平升高,表明它在疾病发病过程中起作用.

结论:

十个枢纽基因显示出作为UC诊断和治疗生物标记物的潜力.
NCF2可能通过影响免疫和炎症反应来驱动UC病变.
NCF2作为一个有前途的免疫相关生物标志物,用于加强UC诊断和治疗.

关键词:

生物标志物生物标志物免疫微观环境免疫微环境机器学习是机器学习.性结肠炎是一种

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