在败血症免疫微环境中识别和实验验证cuproptosis调节程序,通过单细胞和散装RNA测序的组合进行测序
Tingru Zhao1, Yan Guo1, Jin Li1
1Department of Clinical Laboratory, Key Clinical Laboratory of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Frontiers in immunology
|July 1, 2024
概括
这项研究开发了一种使用cuproptosis (细胞死亡过程) 预测患者结果的败血症风险模型. 这项研究确定了包括LST1在内的关键基因,为败血症治疗提供了新的目标.
科学领域:
- 生物化学 生物化学
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
背景情况:
- 尽管死亡率高,但败血症的发病因子仍然不完全理解.
- 质亡,一种新的细胞死亡途径,与败血症有关.
- 针对性治疗败血症需要更好地了解其潜在机制.
研究的目的:
- 建立基于cuproptosis的风险模型来诊断和预测败血症风险.
- 为潜在的向性败血症疗法确定与cuproptosis相关的基因 (CRG).
- 研究特定的CRG,如LST1,在败血症病理生理学的作用.
主要方法:
- 单细胞RNA测序 (scRNA-seq) 用于分析cuproptosis活动评分 (CuAS) 和细胞间通信.
- 使用scRNA-seq和大量RNA测序识别差异表达的CRG.
- 使用LASSO和考克斯回归分析开发风险预测模型.
- 在三个外部队列中验证风险模型.
- 评估免疫细胞透,通路丰富和免疫调节器的表达.
- 在体外实验 (流细胞测量,西部斑块,ELISA) 来研究LST1.1.的功能.
主要成果:
- CuAS富含单细胞,与败血症预后不佳相关.
- 较高的CuAS与细胞间相互作用的增加有关.
- 建立了一个五个CRG风险模型,准确预测败血症预后.
- 较低风险得分队列显示免疫细胞透和抗菌反应的增强.
- 一个关键的基因LST1在LPS刺激后在巨细胞中升高调节,从而降低了生存率,并促进了亡和氧化应激.
结论:
- 一个新的cuproptosis相关的风险模型有效地预测了败血症的预后.
- 这项研究确定了LST1作为在败血症中关键的cuproptosis相关基因.
- 这些发现为开发向性败血症治疗提供了理论基础.
相关概念视频
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