Department of Pharmacology, Amity Institute of Pharmacy, Amity University Haryana, Gurugram, India.
Amity Institute of Biotechnology, Amity University Haryana, Panchgaon, Manesar, Haryana, 122413, India.
Eur J Pharmacol. 2024 May 15;971:176540. doi: 10.1016/j.ejphar.2024.176540. Epub 2024 Mar 27.
Identification of concomitant miRNAs and transcription factors (TFs) with differential expression (DEGs) in MI is crucial for understanding holistic gene regulation, identifying key regulators, and precision in biomarker and therapeutic target discovery. We performed a comprehensive analysis using Affymetrix microarray data, advanced bioinformatic tools, and experimental validation to explore potential biomarkers associated with human pathology. The search strategy includes the identification of the GSE83500 dataset, comprising gene expression profiles from aortic wall punch biopsies of MI and non-MI patients, which were used in the present study. The analysis identified nine distinct genes exhibiting DEGs within the realm of MI. miRNA-gene/TF and TF-gene/miRNA regulatory relations were mapped to retrieve interacting hub genes to acquire an MI miRNA-TF co-regulatory network. Furthermore, an animal model of I/R-induced MI confirmed the involved gene based on quantitative RT-PCR and Western blot analysis. The consequences of the bioinformatic tool substantiate the inference regarding the presence of three key hub genes (UBE2N, TMEM106B, and CXADR), a central miRNA (hsa-miR-124-3p), and sixteen TFs. Animal studies support the involvement of predicted genes in the I/R-induced myocardial infarction assessed by RT-PCR and Western blotting. Thus, the final consequences suggest the involvement of promising molecular pathways regulated by TF (p53/NF-κB1), miRNA (hsa-miR-124-3p), and hub gene (UBE2N), which may play a key role in the pathogenesis of MI.
鉴定伴随心肌梗死(MI)中差异表达(DEGs)的miRNA 和转录因子(TFs)对于理解整体基因调控、识别关键调控因子以及精准发现生物标志物和治疗靶点至关重要。我们使用 Affymetrix 微阵列数据、先进的生物信息学工具和实验验证进行了全面分析,以探索与人类病理学相关的潜在生物标志物。搜索策略包括确定 GSE83500 数据集,该数据集包含 MI 和非 MI 患者主动脉壁穿刺活检的基因表达谱,本研究中使用了该数据集。分析确定了 MI 范围内存在的 9 个具有 DEGs 的独特基因。miRNA-基因/TF 和 TF-基因/miRNA 调控关系被映射以检索相互作用的枢纽基因,以获取 MI miRNA-TF 共调控网络。此外,I/R 诱导的 MI 动物模型通过定量 RT-PCR 和 Western blot 分析证实了所涉及的基因。生物信息学工具的结果证实了三个关键枢纽基因(UBE2N、TMEM106B 和 CXADR)、一个核心 miRNA(hsa-miR-124-3p)和十六个 TF 的存在推断。动物研究支持通过 RT-PCR 和 Western blot 评估的预测基因在 I/R 诱导的心肌梗死中的参与。因此,最终结果表明,TF(p53/NF-κB1)、miRNA(hsa-miR-124-3p)和枢纽基因(UBE2N)调控的有前途的分子途径可能在 MI 的发病机制中发挥关键作用。