通过生物信息学分析揭示系统性红斑狼疮和心力衰竭之间的共同生物标志物和治疗靶点

Ting Zhou, Jing Pan, Chenghui Yan, Jing Yuan, Hai-xu Song, Yaling Han
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摘要

系统性红斑狼疮(SLE)经常伴有各种并发症,其中心血管疾病因其高死亡率而尤其令人担忧。尽管有临床证据表明系统性红斑狼疮与心力衰竭(HF)之间存在潜在的相关性,但其潜在的共同机制尚未完全明了。因此,探索系统性红斑狼疮和心力衰竭之间的潜在机制和共同治疗靶点势在必行。系统性红斑狼疮和心力衰竭数据集是从 NCBI 基因表达总库数据库下载的。系统性红斑狼疮和高血脂的差异表达基因(DEGs)使用 "limma "R软件包进行处理。基因本体(GO)和京都基因百科全书(KEGG)分析用于分析系统性红斑狼疮和高频数据集中 DEGs 的富集功能和通路。为了识别系统性红斑狼疮和高频数据集中的共享枢纽基因,我们使用了 Cytoscape 软件中的蛋白质-蛋白质相互作用网络(PPI)和分子复合体检测(MCODE)插件。利用 R 软件包 "limma "来验证基于系统性红斑狼疮(GSE122459)和高频(GSE196656)数据集的中心基因的表达。基于系统性红斑狼疮(GSE112087)和高血脂(GSE116250)数据集,利用 CIBERSORT 算法分析系统性红斑狼疮和高血脂样本的免疫细胞浸润情况。根据高频数据集(GSE116250)建立了加权基因共表达网络分析(WGCNA)网络,以进一步验证枢纽基因。在系统性红斑狼疮和高频数据集之间发现了 999 个共有的 DGEs,这些 DGEs 主要富集在与 Th17 细胞分化相关的通路中。在系统性红斑狼疮数据集和高频数据集的共同 DGEs 中,筛选并验证了 5 个共享的枢纽基因,包括 HSP90AB1、NEDD8、RPLP0、UBB 和 UBC。此外,在 MEbrown 模块的中心部分还发现了 5 个枢纽基因,它们与扩张型心肌病的相关性最强。与非衰竭性心脏相比,HSP90AB1 和 UBC 在衰竭性心脏中上调,而 UBB、NEDD8 和 RPLP0 则没有显著变化。HSP90AB1和UBC与免疫细胞浸润介导的系统性红斑狼疮和高血脂的共同发病机制密切相关,它们是治疗系统性红斑狼疮合并高血脂的有希望的分子标记物和潜在治疗靶点。
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Unveiling shared biomarkers and therapeutic targets between systemic lupus erythematosus and heart failure through bioinformatics analysis
Systemic lupus erythematosus (SLE) is frequently accompanied by various complications, with cardiovascular diseases being particularly concerning due to their high mortality rate. Although there is clinical evidence suggesting a potential correlation between SLE and heart failure (HF), the underlying shared mechanism is not fully understood. Therefore, it is imperative to explore the potential mechanisms and shared therapeutic targets between SLE and HF.The SLE and HF datasets were downloaded from the NCBI Gene Expression Omnibus database. Differentially expressed genes (DEGs) in both SLE and HF were performed using “limma” R package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genes (KEGG) analyses were conducted to analyze the enriched functions and pathways of DEGs in both SLE and HF datasets. Protein–Protein Interaction network (PPI) and the molecular complex detection (MCODE) plugins in the Cytoscape software were performed to identify the shared hub genes between SLE and HF datasets. R package “limma” was utilized to validate the expression of hub genes based on SLE (GSE122459) and HF (GSE196656) datasets. CIBERSORT algorithm was utilized to analyze the immune cell infiltration of SLE and HF samples based on SLE (GSE112087) and HF (GSE116250) datasets. A weighted gene co-expression network analysis (WGCNA) network was established to further validate the hub genes based on HF dataset (GSE116250). Molecular biology techniques were conducted to validate the hub genes.999 shared DGEs were identified between SLE and HF datasets, which were mainly enriched in pathways related to Th17 cell differentiation. 5 shared hub genes among the common DGEs between SLE and HF datasets were screened and validated, including HSP90AB1, NEDD8, RPLP0, UBB, and UBC. Additionally, 5 hub genes were identified in the central part of the MEbrown module, showing the strongest correlation with dilated cardiomyopathy. HSP90AB1 and UBC were upregulated in failing hearts compared to non-failing hearts, while UBB, NEDD8, and RPLP0 did not show significant changes.HSP90AB1 and UBC are closely related to the co-pathogenesis of SLE and HF mediated by immune cell infiltration. They serve as promising molecular markers and potential therapeutic targets for the treatment of SLE combined with HF.
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