Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj 6751, Bangladesh.
Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia 7003, Bangladesh.
Medicina (Kaunas). 2019 May 22;55(5):191. doi: 10.3390/medicina55050191.
: Alzheimer's disease (AD) is a progressive neurodegenerative disease that results in severe dementia. Having ischemic strokes (IS) is one of the risk factors of the AD, but the molecular mechanisms that underlie IS and AD are not well understood. We thus aimed to identify common molecular biomarkers and pathways in IS and AD that can help predict the progression of these diseases and provide clues to important pathological mechanisms. : We have analyzed the microarray gene expression datasets of IS and AD. To obtain robust results, combinatorial statistical methods were used to analyze the datasets and 26 transcripts (22 unique genes) were identified that were abnormally expressed in both IS and AD. : Gene Ontology (GO) and KEGG pathway analyses indicated that these 26 common dysregulated genes identified several altered molecular pathways: Alcoholism, MAPK signaling, glycine metabolism, serine metabolism, and threonine metabolism. Further protein-protein interactions (PPI) analysis revealed pathway hub proteins PDE9A, GNAO1, DUSP16, NTRK2, PGAM2, MAG, and TXLNA. Transcriptional and post-transcriptional components were then identified, and significant transcription factors (SPIB, SMAD3, and SOX2) found. : Protein-drug interaction analysis revealed PDE9A has interaction with drugs caffeine, γ-glutamyl glycine, and 3-isobutyl-1-methyl-7H-xanthine. Thus, we identified novel putative links between pathological processes in IS and AD at transcripts levels, and identified possible mechanistic and gene expression links between IS and AD.
阿尔茨海默病(AD)是一种进行性神经退行性疾病,可导致严重痴呆。发生缺血性中风(IS)是 AD 的危险因素之一,但 IS 和 AD 背后的分子机制尚不清楚。因此,我们旨在确定 IS 和 AD 中的常见分子生物标志物和途径,以帮助预测这些疾病的进展,并为重要的病理机制提供线索。
我们分析了 IS 和 AD 的基因表达微阵列数据集。为了获得稳健的结果,我们使用组合统计方法分析了数据集,并确定了 26 个转录本(22 个独特基因)在 IS 和 AD 中异常表达。
GO 和 KEGG 途径分析表明,这 26 个共同失调的基因确定了几个改变的分子途径:酒精中毒、MAPK 信号、甘氨酸代谢、丝氨酸代谢和苏氨酸代谢。进一步的蛋白质-蛋白质相互作用(PPI)分析揭示了途径枢纽蛋白 PDE9A、GNAO1、DUSP16、NTRK2、PGAM2、MAG 和 TXLNA。然后鉴定了转录和转录后成分,并发现了显著的转录因子(SPIB、SMAD3 和 SOX2)。
药物-蛋白质相互作用分析显示 PDE9A 与药物咖啡因、γ-谷氨酰甘氨酸和 3-异丁基-1-甲基-7H-黄嘌呤相互作用。因此,我们在转录本水平上确定了 IS 和 AD 中病理过程之间的新的潜在联系,并确定了 IS 和 AD 之间可能的机制和基因表达联系。