一个潜在的XGBoost诊断得分为黄金葡萄球菌血流感染
Junhong Shi1, Lan Chen2, Xinru Yuan1
1Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Frontiers in immunology
|May 7, 2025
概括
使用五个基因 (DRAM1,UPP1,IL18RAP,CLEC4A,PGLYRP1) 的新诊断工具显示,它有望用于检测金黄色葡萄球菌血流感染. 该XGBoost模型实现了高精度,有助于早期诊断和管理.
科学领域:
- 基因组学和生物信息学
- 传染性疾病 传染性疾病
- 免疫学 免疫学 免疫学
背景情况:
- 黄金葡萄球菌 (Staphylococcus aureus) 血流感染 (SAB) 是一个严重且日益严重的公共卫生问题.
- 准确和及时的诊断对于有效的治疗和改善患者的结果至关重要.
- 识别SAB的新生物标志物对于开发更好的诊断策略至关重要.
研究的目的:
- 为了识别黄金葡萄球菌血流感染的诊断基因.
- 为SAB.开发和验证基于机器学习的诊断模型.
- 探索诊断分数与免疫细胞种群的关联.
主要方法:
- 对GSE33341黄金色杆菌感染样本的差异基因表达分析.
- 重量基因同表达网络分析 (WGCNA) 以确定相关的基因模块.
- 博鲁塔和拉索算法用于特征选择,识别了五个关键诊断基因.
- 开发和比较机器学习模型 (XGBoost,SVM-RFE,随机森林) 用于诊断性能评估.
- 在小鼠和人类样本上使用RT-qPCR和RNA-Seq验证.
主要成果:
- 确定了63个差异表达基因 (DEG),并将其缩小到五个诊断基因:DRAM1,UPP1,IL18RAP,CLEC4A和PGLYRP1.
- 与SVM-RFE和随机森林相比,极端梯度增强 (XGBoost) 模型显示出更高的诊断性能 (平均AUC = 0.954).
- 在XGBoost诊断得分显示显著的负相关性与CD8 T细胞和CD4天真T细胞.
- 通过RT-qPCR和RNA-Seq的验证证实了小鼠和患者样本中得分的诊断力.
结论:
- 已确定的五个基因 (DRAM1,UPP1,IL18RAP,CLEC4A,PGLYRP1) 是S. aureus血流感染的潜在生物标志物.
- XGBoost诊断分数提供了一个非常准确和验证的工具,用于诊断金黄色菌血流感染.
- 这种诊断工具可能有助于SAB的早期检测和临床管理.
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