基于随机森林算法识别与血管生成相关的牛皮基因和分子亚型
Meng-Jie Zhang1, Ting-Ting Xue1, Xiao-Ya Fei2
1Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China.
Clinical and experimental immunology
|June 28, 2024
概括
这项研究确定了关键的血管生成相关基因 (ARG) 作为牛皮的潜在生物标志物,揭示了两个不同的分子亚型. 研究结果强调了CXCL8,ANGPTL4和EMCN在牛皮的诊断和治疗策略.
科学领域:
- 皮肤病学 皮肤病学
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
背景情况:
- 牛皮是一种慢性,免疫媒介的皮肤疾病,具有全身影响.
- 血管新生增加与牛皮病的进展有关.
- 在牛皮中缺乏对血管生成相关基因 (ARG) 的全面理解.
研究的目的:
- 通过使用ARG来识别牛皮的潜在诊断生物标志物.
- 根据ARG发现牛皮的新型分子亚型.
- 探索ARG与牛皮中免疫细胞透之间的相关性.
主要方法:
- 来自牛皮患者的转录组测序数据.
- 对于差异性基因表达的主要成分分析 (PCA).
- 随机森林算法用于诊断模型开发.
- 达成共识的聚类用于分子亚型.
- 与免疫细胞透的相关性分析.
- 定量实时PCR (qRT-PCR) 用于基因验证.
主要成果:
- 确定了29种不同表达的ARG (13增加,16减少).
- 一个基于10个ARG的诊断模型 (包括CXCL8,ANGPTL4,EMCN) 显示出高精度 (AUC=1.0).
- 发现了两种不同的血管生成相关的银病分子亚型.
- CXCL8与中性粒细胞和互白蛋白通路有很强的正相关性.
- 在牛皮患者中,qRT-PCR验证了CXCL8和ANGPTL4的升高,并降低了EMCN.
结论:
- CXCL8,ANGPTL4和EMCN是潜在的与ARG相关的牛皮的生物标志物.
- 鉴定出两种分子亚型表明了牛皮病原体的异质性.
- 这些发现为ARG驱动的机制和牛皮的潜在治疗点提供了洞察力.
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