通过网络元分析揭示炎症、血栓形成和免疫相关疾病之间的表观遗传学相互作用

TH open : companion journal to thrombosis and haemostasis Pub Date : 2024-02-02 eCollection Date: 2024-01-01 DOI:10.1055/a-2222-9126
Shankar Chanchal, Swati Sharma, Syed Mohd, Armiya Sultan, Aastha Mishra, Mohammad Zahid Ashraf
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引用次数: 0

摘要

炎症和血栓形成是两个截然不同但又相互依存的生理过程。炎症导致凝血系统活化,而凝血系统又引导免疫系统及其活化,从而引发血栓形成的病理生理学过程,这一过程被称为免疫-血栓形成。然而,与免疫系统和凝血相关的共同潜在分子机制尚未得到广泛探索。受此启发,我们利用公开数据集对静脉血栓、系统性红斑狼疮、类风湿性关节炎和炎症性肠病等四种疾病进行了全面的基因表达荟萃分析。根据综合效应大小法,共鉴定出 609 个差异表达基因(DEGs)在所有四个数据集中共享。对 DEGs 的通路富集分析表明,组蛋白修饰酶、翻译后蛋白修饰、染色质组织、染色质修饰酶、HATs 乙酰化蛋白等多种表观遗传通路均有富集。基于网络的蛋白质-蛋白质相互作用分析表明,表观遗传酶编码基因在顶级枢纽基因中占主导地位。确定了前 10 个枢纽基因的 miRNA 相互作用伙伴。表转录组学调控的预设为相同四种疾病的miRNA数据集的荟萃分析开辟了道路。我们发现了这些疾病共有的 30 个 DEmiRs。从前 10 个枢纽基因的 miRNA 相互作用伙伴列表中选出了 9 个共同的 DEmiRs,并从 microRNAs 数据集中获得了重要的 DEmiRs。研究发现,这些共同的 DEmiRs 可调控参与表观遗传调控的基因,这表明在免疫血栓和炎症性疾病的背景下,未来的分子研究需要探索的表观遗传学方面大有可为。
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Unraveling Epigenetic Interplay between Inflammation, Thrombosis, and Immune-Related Disorders through a Network Meta-analysis.

Inflammation and thrombosis are two distinct yet interdependent physiological processes. The inflammation results in the activation of the coagulation system that directs the immune system and its activation, resulting in the initiation of the pathophysiology of thrombosis, a process termed immune-thrombosis. Still, the shared underlying molecular mechanism related to the immune system and coagulation has not yet been explored extensively. Inspired to answer this, we carried out a comprehensive gene expression meta-analysis using publicly available datasets of four diseases, including venous thrombosis, systemic lupus erythematosus, rheumatoid arthritis, and inflammatory bowel disease. A total of 609 differentially expressed genes (DEGs) shared by all four datasets were identified based on the combined effect size approach. The pathway enrichment analysis of the DEGs showed enrichment of various epigenetic pathways such as histone-modifying enzymes, posttranslational protein modification, chromatin organization, chromatin-modifying enzymes, HATs acetylate proteins. Network-based protein-protein interaction analysis showed epigenetic enzyme coding genes dominating among the top hub genes. The miRNA-interacting partner of the top 10 hub genes was determined. The predomination of epitranscriptomics regulation opens a layout for the meta-analysis of miRNA datasets of the same four diseases. We identified 30 DEmiRs shared by these diseases. There were 9 common DEmiRs selected from the list of miRNA-interacting partners of top 10 hub genes and shared significant DEmiRs from microRNAs dataset acquisition. These common DEmiRs were found to regulate genes involved in epigenetic modulation and indicate a promising epigenetic aspect that needs to be explored for future molecular studies in the context of immunothrombosis and inflammatory disease.

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