Lu Yuan, Yiyuan Liu, Lingyan Fan, Cai Sun, Sha Ran, Kuilong Huang, Yan Shen
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Additionally, gene network analysis was performed using the STRING database to predict correlations among genes in the context of pancreatic diseases. Functional enrichment and gene ontology pathways common to both diseases were identified using Metascape. The hub genes were screened in the cytoscape algorithm, and the mRNA levels of the hub genes were verified in mice pancreatic tissues of AP and CP. Then the drugs corresponding to the hub genes were obtained in the drug-gene relationship. A set of hub genes, including Jun, Cd44, Epcam, Spp1, Anxa2, Hsp90aa1, and Cd9, were identified through analysis, demonstrating their pivotal roles in the progression from AP to CP. Notably, these genes were found to be enriched in the Helper T-cell factor (Th17) signaling pathway. Up-regulation of these genes in both AP and CP mouse models was validated through quantitative real-time polymerase chain reaction (qRT-PCR) results. The significance of the Th17 signaling pathway in the transition from AP to CP was underscored by our findings. Specifically, the essential genes driving this progression were identified as Jun, Cd44, Epcam, Spp1, Anxa2, Hsp90aa1, and Cd9. 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引用次数: 0
摘要
在大多数研究中,急性胰腺炎(AP)和慢性胰腺炎(CP)被认为是两种独立的胰腺疾病,但近年来的一些临床回顾性分析发现,在实际治疗中,两者之间存在一定程度的相关性,但具体的关联并不明确。本研究利用生物信息学分析方法对小鼠的微阵列测序数据进行了研究,旨在阐明从 AP 进展到 CP 所涉及的关键信号通路和基因。使用 R 编程语言和 R/Bioconductor 软件包对小鼠转录组进行了差异基因表达分析。此外,还使用 STRING 数据库进行了基因网络分析,以预测胰腺疾病中基因之间的相关性。使用 Metascape 确定了两种疾病的共同功能富集和基因本体通路。通过cytoscape算法筛选出枢纽基因,并在AP和CP的小鼠胰腺组织中验证了枢纽基因的mRNA水平。然后在药物-基因关系中获得了与枢纽基因相对应的药物。通过分析确定了一组枢纽基因,包括Jun、Cd44、Epcam、Spp1、Anxa2、Hsp90aa1和Cd9,证明它们在从AP到CP的过程中起着关键作用。值得注意的是,这些基因被发现富集在辅助 T 细胞因子(Th17)信号通路中。实时定量聚合酶链反应(qRT-PCR)结果验证了这些基因在 AP 和 CP 小鼠模型中的上调。我们的研究结果凸显了 Th17 信号通路在 AP 向 CP 过渡过程中的重要性。具体来说,我们发现了驱动这一过程的重要基因:Jun、Cd44、Epcam、Spp1、Anxa2、Hsp90aa1 和 Cd9。这项研究对胰腺炎进展的分子机制提出了重要见解,为开发有针对性的治疗干预措施提供了前景广阔的途径。
Identification of Potential Hub Genes Related to Acute Pancreatitis and Chronic Pancreatitis via Integrated Bioinformatics Analysis and In Vitro Analysis.
Acute pancreatitis (AP) and chronic pancreatitis (CP) are considered to be two separate pancreatic diseases in most studies, but some clinical retrospective analyses in recent years have found some degree of correlation between the two in actual treatment, however, the exact association is not clear. In this study, bioinformatics analysis was utilized to examine microarray sequencing data in mice, with the aim of elucidating the critical signaling pathways and genes involved in the progression from AP to CP. Differential gene expression analyses on murine transcriptomes were conducted using the R programming language and the R/Bioconductor package. Additionally, gene network analysis was performed using the STRING database to predict correlations among genes in the context of pancreatic diseases. Functional enrichment and gene ontology pathways common to both diseases were identified using Metascape. The hub genes were screened in the cytoscape algorithm, and the mRNA levels of the hub genes were verified in mice pancreatic tissues of AP and CP. Then the drugs corresponding to the hub genes were obtained in the drug-gene relationship. A set of hub genes, including Jun, Cd44, Epcam, Spp1, Anxa2, Hsp90aa1, and Cd9, were identified through analysis, demonstrating their pivotal roles in the progression from AP to CP. Notably, these genes were found to be enriched in the Helper T-cell factor (Th17) signaling pathway. Up-regulation of these genes in both AP and CP mouse models was validated through quantitative real-time polymerase chain reaction (qRT-PCR) results. The significance of the Th17 signaling pathway in the transition from AP to CP was underscored by our findings. Specifically, the essential genes driving this progression were identified as Jun, Cd44, Epcam, Spp1, Anxa2, Hsp90aa1, and Cd9. Crucial insights into the molecular mechanisms underlying pancreatitis progression were provided by this research, offering promising avenues for the development of targeted therapeutic interventions.
期刊介绍:
Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.