展开的蛋白质反应途径是COVID-19和败血症病变的可能联系
Hong Liu1, Junyi Wang2, Shaofeng Li3
1School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Archives of virology
|January 9, 2024
概括
COVID-19和败血症共享一种共同的致病机制,涉及B细胞和展开的蛋白质反应 (UPR) 途径. 这项研究开发了一种高度准确的机器学习模型来识别这种共享路径.
科学领域:
- 免疫学 免疫学 免疫学
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- "COVID-19"疫情凸显了其全球重大影响.
- 临床证据表明,COVID-19和败血症之间存在很强的联系.
- 展开的蛋白质反应 (UPR) 途径与这两种疾病有关,但尚未证实一种共同的机制.
研究的目的:
- 为了调查UPR途径是否作为COVID-19和败血症的常见致病机制.
- 为了确定关键的细胞子集和信号通路涉及到两个条件.
- 根据这些发现,开发和验证基于机器学习的诊断模型.
主要方法:
- 通过Gene Expression Omnibus (GEO) 下载和分析了来自COVID-19和败血症病例的单细胞RNA测序 (scRNA-seq) 和转录组数据.
- 确定了B细胞作为关键细胞子集和UPR通路作为关键信号通路.
- 使用与B细胞和UPR通路相关的交联基因构建了一个机器学习诊断模型.
主要成果:
- 单细胞转录组分析确定了B细胞和UPR通路作为COVID-19和败血症病原体的核心.
- 开发的机器学习模型在内部和外部验证数据集中显示出高准确性和稳定性.
- 将模型与临床数据集成并没有改变其诊断性能,证实了其稳定性.
结论:
- COVID-19和败血症可能在单细胞水平上具有共同的分子致病机制,以B细胞和UPR途径为中心.
- 这项研究为这两个关键条件的病变产生提供了新的分子视角.
- 经过验证的机器学习模型显示了可靠诊断和理解共享疾病机制的潜力.
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