使用转录组测序和机器学习方法识别导致急性湿疹的枢纽基因
Yingying Zhao1, Wenxiu Wang1, Xinying Li1
1The Second Affiliated Hospital of Shandong, University of Traditional Chinese Medicine, Jinan, 250000, China.
BMC medical genomics
|December 2, 2025
概括
研究人员通过分析大鼠模型中的基因表达,确定ICAM-1是急性湿疹 (AE) 的关键基因. 这一发现为这种炎症性皮肤疾病提供了潜在的新诊断点.
科学领域:
- 皮肤病学 皮肤病学
- 免疫学 免疫学 免疫学
- 生物信息学是一种生物信息学.
背景情况:
- 急性湿疹 (AE) 是一种复杂的炎症性皮肤疾病,由免疫系统失调驱动.
- 识别AE病变的关键基因对于开发新的生物标志物和疗法至关重要.
研究的目的:
- 在急性湿疹中使用综合生物信息学和实验方法识别关键病原性基因.
- 探索炎症性皮肤疾病的潜在诊断目标.
主要方法:
- 使用DNCB诱导了一种急性湿疹大鼠模型,并进行了转录组测序.
- 利用权重基因共同表达网络分析 (WGCNA),蛋白-蛋白相互作用 (PPI) 网络和机器学习 (LASSO,SVM,RF) 来选枢纽基因.
- 通过使用定量实时PCR (qRT-PCR),西式涂抹和免疫组织化学验证了候选基因.
主要成果:
- 在AE皮肤病变中鉴定了1717个差异表达基因 (DEGs).
- 在WGCNA和PPI分析中,发现36个枢纽基因参与免疫和炎症途径,包括Th1/Th2/Th17分化和JAK-STAT信号传递.
- 机器学习和实验验证强调ICAM-1是AE病变中在mRNA和蛋白质水平上显著上调的基因.
结论:
- ICAM-1被确定为一个关键的基因,可能在急性湿疹中驱动炎症细胞透.
- ICAM-1可以作为急性湿疹的有价值的诊断目标.
- 这项研究展示了在炎症性皮肤疾病中发现致病基因的强大框架.
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