Exploring the Potential of Dolutegravir in Alzheimer's Disease Treatment: Insights from Network Pharmacology and In Silico Docking Studies.

Karishma M Rathi, Nikhil S Sakle, Vaishali R Undale, Ravindra D Wavhale, Ritesh P Bhole, Pawan N Karwa
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Abstract

Background: The search for effective treatments for neurodegenerative diseases, particularly Alzheimer's disease, has been fraught with challenges. Alzheimer's disease accounts for 60-80% of dementia cases globally, affecting approximately about 50 million people. Currently, drug repurposing has emerged as a promising strategy in new drug development, attracting significant attention from regulatory agencies, such as the US FDA.

Aim: This study aimed to investigate the potential therapeutic role of dolutegravir in Alzheimer's disease (AD) treatment using a novel network pharmacology approach. Specifically, it explored the interaction of dolutegravir with key molecular targets involved in AD pathology, predicted its effects on relevant biological pathways, and evaluated its viability as a new therapeutic candidate.

Objective: This study employed a network pharmacology framework to evaluate dolutegravir, an antiretroviral drug, as a potential treatment for Alzheimer's disease, shedding light on its possible therapeutic mechanisms.

Method: A network pharmacology approach was used to predict the drug targets of dolutegravir. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to identify interacting pathways. Additionally, protein- protein interaction (PPI) network analysis was conducted to assess key interactions and molecular docking studies were performed to evaluate the binding affinity of dolutegravir to the predicted targets.

Result: PPI network analysis revealed that dolutegravir interacted with several key targets, including BRAF, mTOR, MAPK1, MAPK3, NOS1, BACE1, CAPN1, CASP3, CASP7, CASP8, CHUK, IKBKB, PIK3CA, and PIK3CD. KEGG pathway analysis suggested that dolutegravir could influence amyloid-beta formation, amyloid precursor protein metabolism, and the cellular response to amyloid-beta. Molecular docking results showed the highest binding affinity of dolutegravir for PI3KCD (-8.5 kcal/mol) and MTOR (-8.7 kcal/mol).

Conclusion: The findings indicated that dolutegravir holds significant potential in modulating key pathways involved in Alzheimer's disease pathogenesis. These results provide a strong foundation for further investigations into the therapeutic efficacy and safety of dolutegravir in the treatment of Alzheimer's disease. The use of drug repurposing strategies, leveraging Dolutegravir's established pharmacological profile, offers a promising route for accelerated therapeutic development in AD.

探索多替格拉韦在阿尔茨海默病治疗中的潜力:来自网络药理学和计算机对接研究的见解。
背景:神经退行性疾病,特别是阿尔茨海默病的有效治疗方法的研究一直充满挑战。阿尔茨海默病占全球痴呆症病例的60-80%,影响约5000万人。目前,药物再利用已经成为新药开发中一个很有前途的策略,引起了监管机构的极大关注,如美国FDA。目的:本研究旨在通过一种新的网络药理学方法探讨多替格拉韦在阿尔茨海默病(AD)治疗中的潜在治疗作用。具体而言,该研究探讨了多替格拉韦与AD病理过程中关键分子靶点的相互作用,预测了其对相关生物学通路的影响,并评估了其作为一种新的候选治疗药物的可行性。目的:本研究采用网络药理学框架评价抗逆转录病毒药物多替格拉韦对阿尔茨海默病的潜在治疗作用,揭示其可能的治疗机制。方法:采用网络药理学方法预测多替格拉韦的药物靶点。通过基因本体(GO)富集和京都基因与基因组百科全书(KEGG)途径分析来确定相互作用的途径。此外,我们还进行了蛋白-蛋白相互作用(PPI)网络分析来评估关键相互作用,并进行了分子对接研究来评估dolutegravir与预测靶点的结合亲和力。结果:PPI网络分析显示dolutegravir与几个关键靶点相互作用,包括BRAF、mTOR、MAPK1、MAPK3、NOS1、BACE1、CAPN1、CASP3、CASP7、CASP8、CHUK、IKBKB、PIK3CA和PIK3CD。KEGG通路分析表明,多替格拉韦可以影响淀粉样蛋白- β的形成、淀粉样蛋白前体蛋白代谢以及细胞对淀粉样蛋白- β的反应。分子对接结果显示,dolutegravir对PI3KCD和MTOR的结合亲和力最高,分别为-8.5 kcal/mol和-8.7 kcal/mol。结论:多替格拉韦在调节阿尔茨海默病发病机制的关键通路中具有重要的潜力。这些结果为进一步研究多替格拉韦治疗阿尔茨海默病的疗效和安全性提供了坚实的基础。使用药物再利用策略,利用Dolutegravir已建立的药理学特征,为加速AD治疗发展提供了一条有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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