重度哮喘患者的预后预测染色质调节因子特征。

Yaning Gao, Liang Chen, Jian Li, Zhengjun Wen
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摘要

严重哮喘给患者和社会带来了身体和经济负担。由于染色质调节因子(CRs)通过表观遗传机制影响多种疾病的进展,我们旨在研究CRs在严重哮喘患者中的作用。从Gene Expression Omnibus数据库下载了47例重度哮喘患者和13例健康受试者的转录组数据(GSE143303)。富集分析各组间差异表达的CRs的功能。我们鉴定了80个差异表达的CRs;它们主要富含组蛋白修饰、染色质组织和赖氨酸降解。然后构建蛋白质-蛋白质相互作用网络。分析的免疫评分在患病和健康个体之间是不同的。因此,我们使用在免疫分析中具有高相关性的CRs SMARCC1、SETD2、KMT2B和CHD8来构建nomogram模型。最后,使用在线预测工具,我们确定lanat苷C、头孢吡肟和methapyrilene可能是治疗严重哮喘的潜在有效药物。使用SMARCC1、SETD2、KMT2B和CHD8这四种cr构建的nomogram,可能是预测重度哮喘患者预后的有用工具。这项研究为cr在严重哮喘中的作用提供了新的见解。
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A prognosis prediction chromatin regulator signature for patients with severe asthma.

Severe asthma imposes a physical and economic burden on both patients and society. As chromatin regulators (CRs) influence the progression of multiple diseases through epigenetic mechanisms, we aimed to study the role of CRs in patients with severe asthma. Transcriptome data (GSE143303) from 47 patients with severe asthma and 13 healthy participants was downloaded from the Gene Expression Omnibus database. Enrichment analysis was performed to investigate the functions of differentially expressed CRs between the groups. We identified 80 differentially expressed CRs; they were mainly enriched in histone modification, chromatin organization, and lysine degradation. A protein-protein interaction network was then constructed. The analyzed immune scores were different between sick and healthy individuals. Thus, CRs with a high correlation in the immune analysis, SMARCC1, SETD2, KMT2B, and CHD8, were used to construct a nomogram model. Finally, using online prediction tools, we determined that lanatoside C, cefepime, and methapyrilene may be potentially effective drugs in the treatment of severe asthma. The nomogram constructed using the four CRs, SMARCC1, SETD2, KMT2B, and CHD8, may be a useful tool for predicting the prognosis of patients with severe asthma. This study provided new insights into the role of CRs in severe asthma.

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