通过生物信息学和机器学习识别与性结肠炎诊断相关的生物标志物
Yuedan Wang1, Jinke Huang1, Jiaqi Zhang1
1Institute of Digestive Diseases, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China.
Mathematical biosciences and engineering : MBE
|June 16, 2023
概括
新的生物标志物DUOX2,DMBT1,CYP2B7P,PITX2和DEFB1显示出用于诊断性结肠炎 (UC) 的前景. 它们与免疫细胞的关联为UC进展提供了洞察力.
科学领域:
- 胃肠道学和免疫学
- 生物信息学和计算生物学
背景情况:
- 性结肠炎 (UC) 是一种异常性炎症性疾病,其全球发病率正在增加.
- 了解UC的病原体需要识别可靠的生物标志物和特征相关的免疫反应.
研究的目的:
- 确定性结肠炎 (UC) 的新型诊断生物标志物.
- 研究UC中的免疫细胞透特征及其与潜在生物标志物的相关性.
主要方法:
- 在合并的UC和正常样本数据集 (GSE87473,GSE92415) 上进行了差异基因表达分析.
- 基因本体学和KEGG途径分析了差异表达基因 (DEGs) 的阐明的生物功能.
- 机器学习算法 (LASSO,SVM-RFE) 和ROC曲线识别并验证了诊断基因;CIBERSORT分析了免疫细胞透.
主要成果:
- 在UC样本中确定了102种DEG,其中64种是上调的,38种是下调的.
- 丰富的途径包括介质-17信号传递和细胞因子-细胞因子受体相互作用.
- DUOX2,DMBT1,CYP2B7P,PITX2和DEFB1被证实是UC的重要诊断基因.
- 这五个基因与各种免疫细胞有显著的相关性,包括T细胞,NK细胞,中性粒细胞,巨细胞,树突细胞和巨细胞.
结论:
- DUOX2,DMBT1,CYP2B7P,PITX2和DEFB1被确定为性结肠炎 (UC) 的潜在生物标志物.
- 已识别的生物标志物及其免疫透关系为了解UC进展提供了新的视角.
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