在结核病中探索T细胞代谢:使用代谢基因开发诊断模型
Shoupeng Ding1, Chunxiao Huang1, Jinghua Gao2
1Department of Laboratory Medicine, Gutian County Hospital, Gutian, 352200, China.
European journal of medical research
|June 16, 2025
概括
这项研究确定了五个关键的代谢基因,可以准确地区分活跃结核病 (TB) 和潜伏结核病感染 (LTBI). 这些发现支持一种新的诊断模型,用于精确的结核病分类,并为免疫治疗策略提供信息.
科学领域:
- 免疫学 免疫学 免疫学
- 遗传学 遗传学 是一个
- 计算生物学 计算生物学
背景情况:
- 早期诊断和了解活跃结核病 (ATB) 和潜伏结核病感染 (LTBI) 的免疫调节机制仍然具有挑战性.
- 代谢基因在结核病期间宿主-病原体相互作用中的作用需要进一步阐明.
研究的目的:
- 为了识别与T细胞相关的代谢差异表达基因 (TCM-DEGs),以区分ATB和LTBI.
- 为临床应用开发和验证基于TCM-DEGs的诊断模型.
- 根据免疫代谢概况,探索结核病的分子亚型.
主要方法:
- 单细胞RNA测序 (scRNA-seq) 来自健康对照,LTBI和ATB患者的外周血液单核细胞 (PBMC).
- 差异基因表达分析和机器学习算法 (XGBoost,SVM-RFE,Boruta) 用于识别TCM-DEGs.
- 使用独立的队列和名录图构建和验证诊断模型.
主要成果:
- 结核病患者的显著免疫学变化,包括单细胞/巨细胞升高和T/NK细胞减少.
- 五个TCM-DEG (FHIT,MAN1C1,SLC4C7,NT5E,AKR1C3) 有效地将LTBI与ATB区分开来 (p <0.05).
- 一个机器学习的诊断模型显示出高精度 (AUC 0.867-0.873) 和一个名ogram预测模型实现了优秀的区分能力 (C指数 = 0.944).
- 确定了两个不同的结核病表型:M1巨主导型和CD8+ T细胞透型.
结论:
- 通过免疫代谢重编程和细胞-细胞通信,TCM-DEGs对结核病的进展至关重要.
- 开发的诊断模型和分子亚型策略允许精确区分结核病和LTBI.
- 这些发现为优化结核病免疫治疗策略提供了基础.
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