Optimization of the Search for Neuroprotectors among Bioflavonoids

Pharmaceuticals Pub Date : 2024-07-03 DOI:10.3390/ph17070877
Igor Belenichev, V. Ryzhenko, O. Popazova, Nina Bukhtiyarova, Nadia Gorchakova, Valentyn Oksenych, O. Kamyshnyi
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Abstract

For the first time, to optimize the creation of new neuroprotective agents based on bioflavonoids, we applied information technologies; these include docking analysis to calculate the binding of candidate molecules to the pharmacological target protein transthyretin as well as a program of virtual screening of NO scavengers. As a result of this approach, the substance catechin was isolated from candidate molecules—quercetin, catechin, Epicatechin gallate, Epicatechin, Procyanidin B1, Procyanidin B2, Procyanidin B3, and Catechin-3-gallate—according to docking analysis. As a result of virtual screening, catechin was identified as a potential NO scavenger (55.15% prediction). The results of the prediction were confirmed by in vitro experiments. Course administration of catechin to animals with experimental multiple sclerosis (MS) against the background of methylprednisolone administration completely eliminated lethal cases, reduced the number of diseased animals by 20% as well as prevented the development of severe neurological symptoms by 20% (compared to the methylprednisolone group) and by 60% compared to the control group. Course administration of catechin with methylprednisolone leads to a decrease in the neurodegradation markers in the cytosol of rats, with EAE: NSE by 37% and S-100 by 54.8%. The combined administration of methylprednisolone significantly exceeds the combination of methylprednisolone with the reference drug mexidol by the degree of NSE reduction. The obtained results indicate a significant neuroprotective effect of ocular combinations of methylprednisolone and catechin. The above-mentioned confirms the correctness of the bioflavonoid selection with the help of a virtual screening program.
在生物类黄酮中优化寻找神经保护剂
为了优化基于生物类黄酮的新型神经保护剂的开发,我们首次应用了信息技术,包括计算候选分子与药理靶蛋白转甲状腺素结合的对接分析,以及氮氧化物清除剂的虚拟筛选程序。这种方法的结果是,根据对接分析,从候选分子--槲皮素、儿茶素、表儿茶素没食子酸酯、表儿茶素、原花青素 B1、原花青素 B2、原花青素 B3 和儿茶素-3-没食子酸酯--中分离出了儿茶素物质。通过虚拟筛选,儿茶素被确定为一种潜在的氮氧化物清除剂(预测值为 55.15%)。体外实验证实了这一预测结果。在甲基强的松龙给药的背景下,实验性多发性硬化症(MS)动物服用儿茶素后,完全消除了致死病例,患病动物的数量减少了 20%,与甲基强的松龙组相比,儿茶素防止了 20%的严重神经症状的发生,与对照组相比,儿茶素防止了 60%的严重神经症状的发生。儿茶素与甲基强的松龙联合用药可导致 EAE 大鼠细胞质中的神经退化标记物减少:NSE 减少 37%,S-100 减少 54.8%。在减少 NSE 的程度上,甲基强的松龙联合用药明显超过甲基强的松龙与参考药物美西多联合用药。所得结果表明,甲基强的松龙和儿茶素的眼部联合用药具有明显的神经保护作用。上述结果证实了在虚拟筛选程序帮助下选择生物类黄酮的正确性。
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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