重新利用fda批准的药物来对抗与阿尔茨海默病有关的脑炎症的潜在药物靶点。

Targets (Basel) Pub Date : 2024-12-01 Epub Date: 2024-12-04 DOI:10.3390/targets2040025
Catherine Sharo, Jiayu Zhang, Tianhua Zhai, Jingxuan Bao, Andrés Garcia-Epelboim, Elizabeth Mamourian, Li Shen, Zuyi Huang
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引用次数: 0

摘要

阿尔茨海默病是一种神经退行性疾病,其病例数量持续上升。虽然在过去的几十年里进行了广泛的研究,但只有少数药物被FDA批准用于治疗,更少的药物旨在治愈而不是控制症状。迫切需要了解疾病的发病机制,并为进一步的药物发现确定新的靶点。众所周知,阿尔茨海默病(AD)源于淀粉样蛋白(a β)斑块的积聚以及tau蛋白的缠结。此外,大脑中的炎症已知是由组织退化和不溶性物质的积累引起的。因此,阿尔茨海默病的病理与大脑炎症之间存在潜在的联系,特别是当疾病进展到后期,神经元死亡和变性水平更高时。因此,与脑炎症和AD相关的蛋白质成为治疗的理想潜在靶点;然而,需要对这些蛋白质进行评估,以确定哪些靶点对潜在的药物治疗是理想的,或者是“可药物化”的。使用两种基于结构的方法(即药物样密度分析和SiteMap)以及基于序列的方法SPIDER进行可药性分析。然后使用单核测序数据评估最可药物靶点与AD炎症的临床相关性。对于前5个靶标,小分子对接被用来评估哪些FDA批准的药物能够与选定的蛋白质结合。最主要的靶点包括DRD2(抑制腺苷酸环化酶活性)、C9(与C5B8结合形成膜攻击复合物)、C4b(与C2a结合形成C3转化酶)、C5AR1(与C5a结合的GPCR)和GABA-A-R(参与抑制神经传递的GPCR)。每个靶标都有多种潜在的抑制剂,这些抑制剂来自fda批准的药物清单,具有良好的结合无穷大。在这些抑制剂中,有两种药物被发现是多个蛋白靶点的顶级抑制剂。它们是C15H14N2O2和v316(扑热息痛),分别用于治疗最初用于白内障的疼痛/炎症和缓解头痛/发烧。这些结果为进一步的实验研究或临床试验提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Repurposing FDA-Approved Drugs Against Potential Drug Targets Involved in Brain Inflammation Contributing to Alzheimer's Disease.

Alzheimer's disease is a neurodegenerative disease that continues to have a rising number of cases. While extensive research has been conducted in the last few decades, only a few drugs have been approved by the FDA for treatment, and even fewer aim to be curative rather than manage symptoms. There remains an urgent need for understanding disease pathogenesis, as well as identifying new targets for further drug discovery. Alzheimer's disease (AD) is known to stem from a build-up of amyloid beta (Aβ) plaques as well as tangles of tau proteins. Furthermore, inflammation in the brain is known to arise from the degeneration of tissue and the build-up of insoluble material. Therefore, there is a potential link between the pathology of AD and inflammation in the brain, especially as the disease progresses to later stages where neuronal death and degeneration levels are higher. Proteins that are relevant to both brain inflammation and AD thus make ideal potential targets for therapeutics; however, the proteins need to be evaluated to determine which targets would be ideal for potential drug therapeutic treatments, or 'druggable'. Druggability analysis was conducted using two structure-based methods (i.e., Drug-Like Density analysis and SiteMap), as well as a sequence-based approach, SPIDER. The most druggable targets were then evaluated using single-nuclei sequencing data for their clinical relevance to inflammation in AD. For each of the top five targets, small molecule docking was used to evaluate which FDA approved drugs were able to bind with the chosen proteins. The top targets included DRD2 (inhibits adenylyl cyclase activity), C9 (binds with C5B8 to form the membrane attack complex), C4b (binds with C2a to form C3 convertase), C5AR1 (GPCR that binds C5a), and GABA-A-R (GPCR involved in inhibiting neurotransmission). Each target had multiple potential inhibitors from the FDA-approved drug list with decent binding infinities. Among these inhibitors, two drugs were found as top inhibitors for more than one protein target. They are C15H14N2O2 and v316 (Paracetamol), used to treat pain/inflammation originally for cataracts and relieve headaches/fever, respectively. These results provide the groundwork for further experimental investigation or clinical trials.

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