Islam Md Khairul, Islam Md Rakibul, Rahman Md Habibur, Islam Md Zahidul, Amin Md Al, Ahmed Kazi Rejvee, Rahman Md Ataur, Moni Mohammad Ali, Kim Bonglee
Department of Information & Communication Technology, Islamic University, Kushtia 7003, Bangladesh.
Department of Computer Science & Engineering, Islamic University, Kushtia 7003, Bangladesh.
Pharmaceutics. 2022 Jul 28;14(8):1573. doi: 10.3390/pharmaceutics14081573.
Expanding data suggest that glioblastoma is accountable for the growing prevalence of various forms of stroke formation, such as ischemic stroke and moyamoya disease. However, the underlying deterministic details are still unspecified. Bioinformatics approaches are designed to investigate the relationships between two pathogens as well as fill this study void. Glioblastoma is a form of cancer that typically occurs in the brain or spinal cord and is highly destructive. A stroke occurs when a brain region starts to lose blood circulation and prevents functioning. Moyamoya disorder is a recurrent and recurring arterial disorder of the brain. To begin, adequate gene expression datasets on glioblastoma, ischemic stroke, and moyamoya disease were gathered from various repositories. Then, the association between glioblastoma, ischemic stroke, and moyamoya was established using the existing pipelines. The framework was developed as a generalized workflow to allow for the aggregation of transcriptomic gene expression across specific tissue; Gene Ontology (GO) and biological pathway, as well as the validation of such data, are carried out using enrichment studies such as protein-protein interaction and gold benchmark databases. The results contribute to a more profound knowledge of the disease mechanisms and unveil the projected correlations among the diseases.
越来越多的数据表明，胶质母细胞瘤是导致各种形式中风（如缺血性中风和烟雾病）患病率上升的原因。然而，其潜在的决定性细节仍不明确。生物信息学方法旨在研究两种病原体之间的关系，并填补该研究空白。胶质母细胞瘤是一种通常发生在脑或脊髓的癌症，具有高度破坏性。当脑区开始失去血液循环并停止功能时，就会发生中风。烟雾病是一种脑部反复出现的动脉疾病。首先，从各个数据库收集了关于胶质母细胞瘤、缺血性中风和烟雾病的足够的基因表达数据集。然后，使用现有的流程建立了胶质母细胞瘤、缺血性中风和烟雾病之间的关联。该框架被开发为一个通用的工作流程，以允许跨特定组织汇总转录组基因表达；使用蛋白质-蛋白质相互作用和黄金基准数据库等富集研究来进行基因本体论（GO）和生物途径分析，以及对这些数据的验证。这些结果有助于更深入地了解疾病机制，并揭示这些疾病之间预计的相关性。
