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通过综合生物信息学,机器学习和实验来表征克罗恩病中与PANoptosis相关的基因

Yang Yang^1,2,3,4, Alphonse Houssou Hounye⁵, Yiqian Chen^1,2,3

¹Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Scientific reports

|May 22, 2024

概括

帕诺普托斯是一种新的细胞死亡途径,与克罗恩氏病 (CD) 有关. 这项研究确定了与PANoptosis相关的关键基因,这些基因可以帮助CD患者分层,并了解疾病机制.

科学领域:

免疫学免疫学免疫学
细胞生物学细胞生物学
胃肠病学胃肠病学

背景情况:

克罗恩病 (CD) 背后的生物学机制尚未完全理解.
最近发现的一种细胞死亡途径PANoptosis因其在包括CD在内的各种疾病中的作用而越来越受认可.

研究的目的:

为了研究PANoptosis在克罗恩病的发病过程中的作用.
识别和验证与CD相关的关键PANoptosis相关基因 (PRG).
探索这些基因在CD患者分层和了解免疫失调方面的潜力.

主要方法:

微阵列数据的综合分析,以在CD中识别差异表达的PRG (DE-PRG).
应用机器学习算法来精确定位枢纽DE-PRG.
非负矩阵因子化用于患者分层和ssGSEA用于免疫景观分析.
在CD患者和使用qRT-PCR的大肠炎小鼠模型中验证枢纽DE-PRG表达.

主要成果:

十个枢纽DE-PRG (CD44,CIDEC,NDRG1,NUMA1,PEA15,RAG1,S100A8,S100A9,TIMP1,XBP1) 被确定具有显著的诊断价值. 在此过程中,该中心的DE-PRG被确定为具有显著的诊断价值.
这些基因与特定的免疫细胞类型和CD相关基因有关联.
根据枢纽DE-PRG表达,CD患者被分为两个不同的PANoptosis模式,揭示了异质性.

结论:

帕诺普托斯在克罗恩氏病的发病过程中起着重要作用.
已识别的枢纽DE-PRG作为CD诊断和患者分层的潜在生物标志物.
免疫系统的调节和与CD相关基因的相互作用是PANoptosis影响CD的关键机制.

关键词:

生物信息学是一种生物信息学.克罗恩氏病是什么克罗恩氏病是什么机器学习机器学习这就是PANoptosis.监管网络监管网络是指监管网络.

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