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基因表达分析显示GRIN1、SYT1和SYN2是重要的治疗靶点,药物重新利用研究表明劳拉西泮和氯地普隆是治疗阿尔茨海默病的有效抑制剂。

Gene expression analysis reveals GRIN1, SYT1, and SYN2 as significant therapeutic targets and drug repurposing reveals lorazepam and lorediplon as potent inhibitors to manage Alzheimer's disease.

作者信息

T Premkumar, Katta Bhavana, Lulu S Sajitha, Sundararajan Vino

机构信息

Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

出版信息

J Biomol Struct Dyn. 2024;42(19):10352-10373. doi: 10.1080/07391102.2023.2256878. Epub 2023 Sep 10.

Abstract

Alzheimer's disease (AD) is a slowly progressive neurodegenerative disease and a leading cause of dementia. We aim to identify key genes for the development of therapeutic targets and biomarkers for potential treatments for AD. Meta-analysis was performed on six microarray datasets and identified the differentially expressed genes between healthy and Alzheimer's disease samples. Thereafter, we filtered out the common genes which were present in at least four microarray datasets for downstream analysis. We have constructed a gene-gene network for the common genes and identified six hub genes. Furthermore, we investigated the regulatory mechanisms of these hub genes by analysing their interaction with miRNAs and transcription factors. The gene ontology analysis results highlighted the enriched terms significantly associated with hub genes. Through an extensive literature survey, we found that three of the hub genes including GRIN1, SYN2, and SYT1 were critically involved in disease development. To leverage existing drugs for potential repurposing, we predicted drug-gene interaction using the drug-gene interaction database, and performed molecular docking studies. The docking results revealed that the drug compounds had strong interactions and favorable binding with selected hub genes. Lorazepam exhibits a binding energy of -7.3 kcal/mol with GRIN1, Lorediplon exhibits binding energies of -7.7 kcal/mol and -6.3 kcal/mol with the SYT1, and SYN2 respectively. In addition, 100 ns molecular dynamics simulations were carried out for the top complexes and apo protein as well. Furthermore, the MM-PBSA free energy calculations also revealed that these complexes are stable and had favorable energies. According to our study, the identified hub gene could serve as a biomarker as well as a therapeutic target for AD, and the proposed repurposed drug molecules appear to have promising efficacy in treating the disease.Communicated by Ramaswamy H. Sarma.

摘要

阿尔茨海默病(AD)是一种缓慢进展的神经退行性疾病,也是痴呆症的主要病因。我们旨在识别关键基因,以开发治疗靶点和生物标志物,用于AD的潜在治疗。对六个微阵列数据集进行了荟萃分析,确定了健康样本与阿尔茨海默病样本之间的差异表达基因。此后,我们筛选出至少在四个微阵列数据集中出现的共同基因用于下游分析。我们构建了共同基因的基因-基因网络,并确定了六个枢纽基因。此外,我们通过分析这些枢纽基因与miRNA和转录因子的相互作用来研究其调控机制。基因本体分析结果突出了与枢纽基因显著相关的富集术语。通过广泛的文献调查,我们发现包括GRIN1、SYN2和SYT1在内的三个枢纽基因在疾病发展中起关键作用。为了利用现有药物进行潜在的重新利用,我们使用药物-基因相互作用数据库预测药物-基因相互作用,并进行分子对接研究。对接结果显示,药物化合物与选定的枢纽基因有强烈的相互作用和良好的结合。劳拉西泮与GRIN1的结合能为-7.3 kcal/mol,洛雷地普隆与SYT1和SYN2的结合能分别为-7.7 kcal/mol和-6.3 kcal/mol。此外,还对顶级复合物和无配体蛋白进行了100 ns的分子动力学模拟。此外,MM-PBSA自由能计算也表明这些复合物是稳定的,具有良好的能量。根据我们的研究,鉴定出的枢纽基因可作为AD的生物标志物和治疗靶点,所提出的重新利用的药物分子在治疗该疾病方面似乎具有有前景的疗效。由拉马斯瓦米·H·萨尔马传达。

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