揭示心血管疾病和酒精使用障碍之间的相互作用:基于生物信息学和网络的共享分子途径探索,以及通过western blot分析验证的关键生物标志物。

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-12-30 DOI:10.1016/j.compbiolchem.2024.108338
Kamelia Zaman Moon , Md Habibur Rahman , Md. Jahangir Alam , Md.Arju Hossain , Sungho Hwang , Sojin Kang , Seungjoon Moon , Moon Nyeo Park , Chi-Hoon Ahn , Bonglee Kim
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引用次数: 0

摘要

临床观察表明,与酒精使用障碍(AUD)斗争的个体心血管疾病(cvd)明显恶化,表明这些疾病之间存在复杂的相互作用。事实证明,确定这两种疾病的共同风险因素是难以捉摸的。为了解决这个问题,我们开创了一个复杂的生物信息学框架和基于网络的策略,以发现在AUD和cvd中表现出异常表达模式的基因。在患有AUD和cvd的患者的心脏组织样本中,我们的研究确定了76个差异表达基因(DEGs),进一步用于检索重要的基因本体(GO)关键字和代谢途径,突出了促炎级联反应、t细胞细胞毒性、抗原加工和递呈等机制。通过蛋白质-蛋白质相互作用(PPI)分析,我们能够确定对这些疾病的病理生理有重大影响的关键枢纽蛋白。其中,PTGS2、VCAM1、CCL2、CXCL8、IL7R等枢纽蛋白在cytoHubba插件的10种算法中仅被CDH1覆盖。此外,我们确定了几种转录因子(TFs),包括SOD2, CXCL8, THBS2, GREM1, CCL2和PTGS2,以及潜在的microRNAs (miRNAs),如hsa-mir-203a-3p, hsa-mir-23a-3p, hsa-mir-98-5p和hsa-mir-7-5p,它们对基因表达具有关键的调控作用。在体外研究中,酒精对HepG2和Hep3B细胞中E-cadherin (CDH1)表达的影响,显示乙醇处理后表达显著降低。这些发现表明,酒精暴露可能会破坏细胞粘附,可能导致与心血管疾病相关的细胞变化。我们的创新方法揭示了独特的生物标志物,描绘了AUD与各种心血管疾病之间的动态相互作用,为未来的治疗探索奠定了基础。
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Unraveling the interplay between cardiovascular diseases and alcohol use disorder: A bioinformatics and network-based exploration of shared molecular pathways and key biomarkers validation via western blot analysis
Clinical observations indicate a pronounced exacerbation of Cardiovascular Diseases (CVDs) in individuals grappling with Alcohol Use Disorder (AUD), suggesting an intricate interplay between these maladies. Pinpointing shared risk factors for both conditions has proven elusive. To address this, we pioneered a sophisticated bioinformatics framework and network-based strategy to unearth genes exhibiting aberrant expression patterns in both AUD and CVDs. In heart tissue samples from patients battling both AUD and CVDs, our study identified 76 Differentially Expressed Genes (DEGs) further used for retrieving important Gene Ontology (GO) keywords and metabolic pathways, highlighting mechanisms like proinflammatory cascades, T-cell cytotoxicity, antigen processing and presentation. By using Protein-Protein Interaction (PPI) analysis, we were able to identify key hub proteins that have a significant impact on the pathophysiology of these illnesses. Several hub proteins were identified include PTGS2, VCAM1, CCL2, CXCL8, IL7R, among these only CDH1 was covered in 10 algorithms of cytoHubba plugin. Furthermore, we pinpointed several Transcription Factors (TFs), including SOD2, CXCL8, THBS2, GREM1, CCL2, and PTGS2, alongside potential microRNAs (miRNAs) such as hsa-mir-203a-3p, hsa-mir-23a-3p, hsa-mir-98–5p, and hsa-mir-7–5p, which exert critical regulatory control over gene expression… In vitro study investigates the effect of alcohol on E-cadherin (CDH1) expression in HepG2 and Hep3B cells, showing a significant decrease in expression following ethanol treatment. These findings suggest that alcohol exposure may disrupt cell adhesion, potentially contributing to cellular changes associated with cardiovascular diseases. Our innovative approach has unveiled distinctive biomarkers delineating the dynamic interplay between AUD and various cardiovascular conditions for future therapeutic exploration.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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