Identification and validation of autophagy-related genes in Hirschsprung's disease.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-30 eCollection Date: 2024-01-01 DOI:10.7717/peerj.18376
Ting Yao, Zenghui Hao, Wei Fan, Jinbao Han, Shuyu Wang, Zaiqun Jiang, Yunting Wang, Xiao Qian Yang, Zhilin Xu
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Abstract

Background: Hirschsprung's disease (HSCR) is a congenital disorder characterized by aganglionosis in the intermuscular and submucosal nerve plexuses of the gut, leading to impaired gastrointestinal function. Although the precise cause and pathophysiology of HSCR remain elusive, increasing evidence points to a significant role of autophagy in its development, warranting further investigation into its underlying mechanisms.

Methods: This study utilized publicly available microarray expression profiling datasets, GSE96854 and GSE98502, from the Gene Expression Omnibus (GEO). The R software (version 4.2.0) was employed to identify autophagy-related genes potentially showing differential expression in HSCR. Subsequent analyses included correlation analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interaction (PPI) network analysis using the STRING database (version 11.0) and Cytoscape software (version 3.8.2). Ultimately, HSCR samples were used to verify the mRNA levels of important genes by quantitative real-time polymerase chain reaction (qRT-PCR) in a laboratory setting.

Results: We have discovered 20 genes that are involved in autophagy and show variable expression. Among these genes, 15 are up-regulated and five are down-regulated. The enrichment analysis using the GO and KEGG pathways revealed a notable enrichment in pathways related to the control of autophagy. Nine hub genes were found via the investigation of the PPI network constructed from STRING database and module analysis using Cytoscape. Moreover, the concordance between SIRT1 expression in the HSCR model and the bioinformatics analysis of mRNA chip findings was validated using qRT-PCR.

Conclusion: Utilizing bioinformatics analysis, we identified 20 potential genes associated with Hirschsprung's disease that play a role in autophagy. Notably, the upregulation of SIRT1 may profoundly influence the progression of HSCR by regulating autophagy-related pathways, offering a novel perspective on the disease's pathogenesis.

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自噬相关基因在赫氏胃肠病中的鉴定与验证
背景:赫氏病(HSCR)是一种先天性疾病,其特征是肠道肌间神经丛和粘膜下神经丛的神经亢进,导致胃肠功能受损。虽然 HSCR 的确切病因和病理生理学仍然难以捉摸,但越来越多的证据表明自噬在其发病过程中起着重要作用,因此有必要对其潜在机制进行进一步研究:本研究利用基因表达总库(Gene Expression Omnibus,GEO)中公开的微阵列表达谱数据集 GSE96854 和 GSE98502。研究采用 R 软件(4.2.0 版)来识别 HSCR 中可能出现差异表达的自噬相关基因。随后的分析包括相关性分析、基因本体(GO)和京都基因和基因组百科全书(KEGG)通路富集,以及使用 STRING 数据库(11.0 版)和 Cytoscape 软件(3.8.2 版)进行的蛋白质-蛋白质相互作用(PPI)网络分析。最后,在实验室环境中通过实时定量聚合酶链式反应(qRT-PCR),利用 HSCR 样本验证了重要基因的 mRNA 水平:结果:我们发现了 20 个参与自噬并表现出不同表达的基因。在这些基因中,15 个基因上调,5 个基因下调。利用 GO 和 KEGG 通路进行的富集分析表明,与控制自噬有关的通路显著富集。通过研究 STRING 数据库构建的 PPI 网络和使用 Cytoscape 进行的模块分析,发现了 9 个枢纽基因。此外,利用 qRT-PCR 验证了 SIRT1 在 HSCR 模型中的表达与 mRNA 芯片生物信息学分析结果之间的一致性:结论:通过生物信息学分析,我们发现了20个与赫氏咽鼓管病相关的潜在基因,这些基因在自噬中发挥作用。值得注意的是,SIRT1的上调可能会通过调节自噬相关通路对HSCR的进展产生深远影响,从而为该病的发病机制提供了一个新的视角。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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