Integrated Multi-omics Analysis of Hub Genes and miRNA Interactions in Hypertrophic Cardiomyopathy.

IF 4 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Current Genomics Pub Date : 2025-01-01 Epub Date: 2025-03-26 DOI:10.2174/0113892029363785250311084956
Huanhuan Hu, Ziheng Yu, Kongjie Lu, Hui Hu, Lang Deng
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引用次数: 0

Abstract

Background: Hypertrophic Cardiomyopathy (HCM) is a complex cardiac disorder marked by the thickening of the heart muscle.

Methods: HCM and normal control cell lines were cultured in DMEM with 12.5% FBS and 1% penicillin-streptomycin at 37°C and 5% CO2. Differentially expressed genes (DEGs) were identified from GSE32453, GSE53408, and GSE113439 datasets using the limma package in R. Hub genes were determined through protein-protein interaction (PPI) network and Cytoscape analysis and validated via Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) and Western blot analysis. Gene enrichment, miRNA predictions, drug prediction, and molecular docking analyses were conducted for functional enrichment and to explore hub gene-associated drugs.

Results: To identify DEGs and hub genes implicated in HCM, we analyzed three Gene Expression Omnibus (GEO) datasets (GSE32453, GSE53404, and GSE1134439), extracting the top 1000 DEGs. Venn analysis revealed 21 common down-regulated genes. PPI analysis identified these six as key hub genes, including Iron Response Element Binding Protein 2 (IREB2), Protein Tyrosine Phosphatase, Non-Receptor Type 11 (PTPN11), IQ Motif Containing GTPase Activating Protein 1 (IQGAP1), Phosphoglucomutase 2 (PGM2), DIS3 RNA Exonuclease 3' to 5' (DIS3), Glutamine-Fructose-6-Phosphate Transaminase 1 (GFPT1) in HCM patients. Gene enrichment analysis highlighted the involvement of these genes in cellular functions such as energy metabolism and growth factor signaling, suggesting their role in the disease's progression. Validation using an additional dataset (GSE36961) confirmed significant down-regulation of all hub genes in HCM samples, supported by Receiver Operating Characteristic (ROC) curve analysis that demonstrated their diagnostic potential. Furthermore, miRNA analysis identified six up-regulated miRNAs (miR-124, miR-29b, miR-330, miR-34a, miR-375, and miR-451) that likely contribute to the dysregulation of these hub genes. Drug prediction analysis identified various potential therapeutic compounds targeting these hub genes. Molecular docking revealed favorable binding affinities, supporting the therapeutic potential of these drugs in modulating hub gene activity.

Discussion: These findings demonstrate that HCM progression involves coordinated downregulation of hub genes and miRNA-mediated dysregulation of metabolic and signaling pathways. The integration of bioinformatics, validation assays, and drug docking suggests a strong translational potential for biomarker discovery and targeted therapy.

Conclusion: Our findings suggest that IREB2, PTPN11, IQGAP1, PGM2, DIS3, and GFPT1 hub genes and their associated regulatory pathways may serve as biomarkers and therapeutic targets for HCM, potentially improving diagnosis and treatment strategies.

肥厚性心肌病中枢基因和miRNA相互作用的综合多组学分析。
背景:肥厚性心肌病(HCM)是一种以心肌增厚为特征的复杂心脏疾病。方法:HCM和正常对照细胞系在含12.5% FBS和1%青霉素-链霉素的DMEM中培养,37℃,5% CO2。使用R. limma软件包从GSE32453、GSE53408和GSE113439数据集中鉴定差异表达基因(deg)。Hub基因通过蛋白-蛋白相互作用(PPI)网络和Cytoscape分析确定,并通过逆转录定量聚合酶链反应(RT-qPCR)和Western blot分析验证。通过基因富集、miRNA预测、药物预测、分子对接分析等进行功能富集,探索枢纽基因相关药物。结果:为了鉴定与HCM相关的deg和hub基因,我们分析了三个基因表达综合(GEO)数据集(GSE32453、GSE53404和GSE1134439),提取了前1000个deg。Venn分析显示了21个常见的下调基因。PPI分析发现,HCM患者的铁反应元件结合蛋白2 (IREB2)、蛋白酪氨酸磷酸酶、非受体11型(PTPN11)、含GTPase激活蛋白1 (IQGAP1)、磷酸葡萄糖脲酶2 (PGM2)、DIS3 RNA外切酶3′至5′(DIS3)、谷氨酰胺-果糖-6-磷酸转氨酶1 (GFPT1)是关键枢纽基因。基因富集分析强调了这些基因参与细胞功能,如能量代谢和生长因子信号传导,表明它们在疾病进展中的作用。使用另一个数据集(GSE36961)进行验证,证实HCM样本中所有枢纽基因均显著下调,并得到受试者工作特征(ROC)曲线分析的支持,证明了它们的诊断潜力。此外,miRNA分析确定了六个可能导致这些中心基因失调的上调miRNA (miR-124、miR-29b、miR-330、miR-34a、miR-375和miR-451)。药物预测分析确定了针对这些枢纽基因的各种潜在治疗化合物。分子对接显示了良好的结合亲和力,支持这些药物在调节枢纽基因活性方面的治疗潜力。讨论:这些发现表明HCM的进展涉及中枢基因的协同下调和mirna介导的代谢和信号通路的失调。生物信息学、验证分析和药物对接的整合表明,在生物标志物发现和靶向治疗方面具有强大的转化潜力。结论:IREB2、PTPN11、IQGAP1、PGM2、DIS3和GFPT1枢纽基因及其相关调控通路可能作为HCM的生物标志物和治疗靶点,有可能改善HCM的诊断和治疗策略。
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来源期刊
Current Genomics
Current Genomics 生物-生化与分子生物学
CiteScore
5.20
自引率
0.00%
发文量
29
审稿时长
>0 weeks
期刊介绍: Current Genomics is a peer-reviewed journal that provides essential reading about the latest and most important developments in genome science and related fields of research. Systems biology, systems modeling, machine learning, network inference, bioinformatics, computational biology, epigenetics, single cell genomics, extracellular vesicles, quantitative biology, and synthetic biology for the study of evolution, development, maintenance, aging and that of human health, human diseases, clinical genomics and precision medicine are topics of particular interest. The journal covers plant genomics. The journal will not consider articles dealing with breeding and livestock. Current Genomics publishes three types of articles including: i) Research papers from internationally-recognized experts reporting on new and original data generated at the genome scale level. Position papers dealing with new or challenging methodological approaches, whether experimental or mathematical, are greatly welcome in this section. ii) Authoritative and comprehensive full-length or mini reviews from widely recognized experts, covering the latest developments in genome science and related fields of research such as systems biology, statistics and machine learning, quantitative biology, and precision medicine. Proposals for mini-hot topics (2-3 review papers) and full hot topics (6-8 review papers) guest edited by internationally-recognized experts are welcome in this section. Hot topic proposals should not contain original data and they should contain articles originating from at least 2 different countries. iii) Opinion papers from internationally recognized experts addressing contemporary questions and issues in the field of genome science and systems biology and basic and clinical research practices.
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