Manuel Mathew Timothy Artuz, Tayo Lemmuel L
School of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila City 1002, Philippines.
School of Graduate Studies, Mapúa University, Manila City 1002, Philippines.
Brain Sci. 2023 Nov 7;13(11):1564. doi: 10.3390/brainsci13111564.
Neurocognitive impairment refers to a spectrum of disorders characterized by a decline in cognitive functions such as memory, attention, and problem-solving, which are often linked to structural or functional abnormalities in the brain. While its exact etiology remains elusive, genetic factors play a pivotal role in disease onset and progression. This study aimed to identify highly correlated gene clusters (modules) and key hub genes shared across neurocognition-impairing diseases, including Alzheimer's disease (AD), Parkinson's disease with dementia (PDD), HIV-associated neurocognitive disorders (HAND), and glioma. Herein, the microarray datasets AD (GSE5281), HAND (GSE35864), glioma (GSE15824), and PD (GSE7621) were used to perform Weighted Gene Co-expression Network Analysis (WGCNA) to identify highly preserved modules across the studied brain diseases. Through gene set enrichment analysis, the shared modules were found to point towards processes including neuronal transcriptional dysregulation, neuroinflammation, protein aggregation, and mitochondrial dysfunction, hallmarks of many neurocognitive disorders. These modules were used in constructing protein-protein interaction networks to identify hub genes shared across the diseases of interest. These hub genes were found to play pivotal roles in processes including protein homeostasis, cell cycle regulation, energy metabolism, and signaling, all associated with brain and CNS diseases, and were explored for their drug repurposing experiments. Drug repurposing based on gene signatures highlighted drugs including Dorzolamide and Oxybuprocaine, which were found to modulate the expression of the hub genes in play and may have therapeutic implications in neurocognitive disorders. While both drugs have traditionally been used for other medical purposes, our study underscores the potential of a combined WGCNA and drug repurposing strategy for searching for new avenues in the simultaneous treatment of different diseases that have similarities in gene co-expression networks.
神经认知障碍是指一系列以记忆、注意力和解决问题等认知功能下降为特征的疾病,这些认知功能下降通常与大脑的结构或功能异常有关。虽然其确切病因尚不清楚,但遗传因素在疾病的发生和发展中起着关键作用。本研究旨在识别跨神经认知障碍性疾病(包括阿尔茨海默病(AD)、帕金森病伴痴呆(PDD)、HIV相关神经认知障碍(HAND)和胶质瘤)共有的高度相关基因簇(模块)和关键枢纽基因。在此,利用微阵列数据集AD(GSE5281)、HAND(GSE35864)、胶质瘤(GSE15824)和PD(GSE7621)进行加权基因共表达网络分析(WGCNA),以识别在所研究的脑部疾病中高度保守的模块。通过基因集富集分析,发现共享模块指向包括神经元转录失调、神经炎症、蛋白质聚集和线粒体功能障碍等过程,这些是许多神经认知障碍的特征。这些模块用于构建蛋白质-蛋白质相互作用网络,以识别在所关注疾病中共享的枢纽基因。发现这些枢纽基因在包括蛋白质稳态、细胞周期调控、能量代谢和信号传导等过程中起关键作用,所有这些都与脑部和中枢神经系统疾病相关,并对其进行药物再利用实验探索。基于基因特征的药物再利用突出了包括多佐胺和奥布卡因在内的药物,发现这些药物可调节所涉及的枢纽基因的表达,可能对神经认知障碍具有治疗意义。虽然这两种药物传统上用于其他医疗目的,但我们的研究强调了联合WGCNA和药物再利用策略在寻找同时治疗在基因共表达网络中具有相似性的不同疾病的新途径方面的潜力。