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鉴定与cuproptosis相关的分子亚型和基于机器学习的COVID-19的新型预测模型

Hong Luo¹, Jisong Yan¹, Dingyu Zhang^2,3,4

¹Department of Tuberculosis and Respiratory, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology; Hubei Clinical Research Center for Infectious Diseases; Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, China.

Frontiers in immunology

|August 3, 2023

概括

这项研究揭示了白细胞中较高的cuproptosis水平与COVID-19有关. 一种新的风险评分模型有效预测SARS-CoV-2感染,为疾病检测提供了潜在的生物标志物.

科学领域:

生物化学生物化学
细胞生物学细胞生物学
免疫学免疫学免疫学

背景情况:

铜,一种由铜诱导的细胞死亡途径,是最近观察到的.
在2019年冠状病毒病 (COVID-19) 中研究cuproptosis机制至关重要.

研究的目的:

解释COVID-19中cuproptosis的致病机制.
在COVID-19患者和他们的免疫微环境协会中识别与cuproptosis相关的亚型.
根据与cuproptosis相关的基因开发和验证基于COVID-19的预测风险评分模型.

主要方法:

利用机器学习算法 (LASSO,随机森林,支持矢量机) 来识别差异表达的基因.
在多个COVID-19队列 (GSE157103,GSE163151,GSE152418,GSE171110) 中构建并验证了与cuproptosis相关的风险评分模型.
开发了一种用于临床应用的名录,并使用肺蛋白学和单细胞数据验证了模型基因.

主要成果:

COVID-19患者在血液白细胞中表现出明显更高的cuproptosis水平.
确定了两个cuproptosis集群;与T细胞受体信号相关的A集群显示出更好的预后.
基于PDHA1,PDHB,MTF1和CDKN2A的风险评分模型显示了COVID-19的优异预测价值,患者的PDHA1和PDHB表达升高.

结论:

建立了一种经过验证的形亡相关风险模型.
开发的风险评分作为预测SARS-CoV-2感染的强大生物标志物.

关键词:

在 COVID-19 疫情中,这就是SARS-CoV-2病毒.这就是cuproptosis.免疫微观环境免疫微环境风险评分风险评分是什么意思

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