Targeting aldose reductase using natural African compounds as promising agents for managing diabetic complications.

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-02-06 eCollection Date: 2025-01-01 DOI:10.3389/fbinf.2025.1499255
Miriam E L Gakpey, Shadrack A Aidoo, Toheeb A Jumah, George Hanson, Siyabonga Msipa, Florence N Mbaoji, Omonijo Bukola, Palesa C Tjale, Mamadou Sangare, Hedia Tebourbi, Olaitan I Awe
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引用次数: 0

Abstract

Background: Diabetes remains a leading cause of morbidity and mortality due to various complications induced by hyperglycemia. Inhibiting Aldose Reductase (AR), an enzyme that converts glucose to sorbitol, has been studied to prevent long-term diabetic consequences. Unfortunately, drugs targeting AR have demonstrated toxicity, adverse reactions, and a lack of specificity. This study aims to explore African indigenous compounds with high specificity as potential AR inhibitors for pharmacological intervention.

Methodology: A total of 7,344 compounds from the AfroDB, EANPDB, and NANPDB databases were obtained and pre-filtered using the Lipinski rule of five to generate a compound library for virtual screening against the Aldose Reductase. The top 20 compounds with the highest binding affinity were selected. Subsequently, in silico analyses such as protein-ligand interaction, physicochemical and pharmacokinetic profiling (ADMET), and molecular dynamics simulation coupled with binding free energy calculations were performed to identify lead compounds with high binding affinity and low toxicity.

Results: Five natural compounds, namely, (+)-pipoxide, Zinc000095485961, Naamidine A, (-)-pipoxide, and 1,6-di-o-p-hydroxybenzoyl-beta-d-glucopyranoside, were identified as potential inhibitors of aldose reductase. Molecular docking results showed that these compounds exhibited binding energies ranging from -12.3 to -10.7 kcal/mol, which were better than the standard inhibitors (zopolrestat, epalrestat, IDD594, tolrestat, and sorbinil) used in this study. The ADMET and protein-ligand interaction results revealed that these compounds interacted with key inhibiting residues through hydrogen and hydrophobic interactions and demonstrated favorable pharmacological and low toxicity profiles. Prediction of biological activity highlighted Zinc000095485961 and 1,6-di-o-p-hydroxybenzoyl-beta-d-glucopyranoside as having significant inhibitory activity against aldose reductase. Molecular dynamics simulations and MM-PBSA analysis confirmed that the compounds bound to AR exhibited high stability and less conformational change to the AR-inhibitor complex.

Conclusion: This study highlighted the potential inhibitory activity of 5 compounds that belong to the African region: (+)-Pipoxide, Zinc000095485961, Naamidine A, (-)-Pipoxide, and 1,6-di-o-p-hydroxybenzoyl-beta-d-glucopyranoside. These molecules inhibiting the aldose reductase, the key enzyme of the polyol pathway, can be developed as therapeutic agents to manage diabetic complications. However, we recommend in vitro and in vivo studies to confirm our findings.

利用天然非洲化合物靶向醛糖还原酶作为治疗糖尿病并发症的有前途的药物。
背景:由于高血糖引起的各种并发症,糖尿病仍然是发病率和死亡率的主要原因。抑制醛糖还原酶(AR),一种将葡萄糖转化为山梨醇的酶,已被研究用于预防糖尿病的长期后果。不幸的是,针对AR的药物已被证明具有毒性、不良反应和缺乏特异性。本研究旨在探索具有高特异性的非洲本土化合物作为药物干预的潜在AR抑制剂。方法:从AfroDB、EANPDB和NANPDB数据库中共获得7344个化合物,并使用Lipinski五法则进行预筛选,生成一个化合物库,用于醛糖还原酶的虚拟筛选。选择结合亲和力最高的前20个化合物。随后,进行了蛋白质-配体相互作用、物理化学和药代动力学分析(ADMET)以及结合自由能计算的分子动力学模拟等计算机分析,以确定具有高结合亲和力和低毒性的先导化合物。结果:鉴定出5种天然化合物(+)-pipoxide、Zinc000095485961、Naamidine A、(-)-pipoxide和1,6- 2 -o-对羟基苯甲酰- β -d-glucopyranoside为醛糖还原酶的潜在抑制剂。分子对接结果表明,这些化合物的结合能范围为-12.3 ~ -10.7 kcal/mol,优于本研究中使用的标准抑制剂(唑来司他、依帕司他、IDD594、托来司他和山梨醇)。ADMET和蛋白质-配体相互作用的结果表明,这些化合物通过氢和疏水相互作用与关键的抑制残基相互作用,并表现出良好的药理和低毒性。生物活性预测显示,Zinc000095485961和1,6-二-o-对羟基苯甲酰- β -d-葡萄糖吡喃苷对醛糖还原酶具有显著的抑制活性。分子动力学模拟和MM-PBSA分析证实,与AR结合的化合物具有较高的稳定性,并且与AR抑制剂复合物的构象变化较小。结论:本研究突出了非洲地区5个化合物的潜在抑制活性:(+)- pipoxide, Zinc000095485961, Naamidine A, (-)- pipoxide和1,6-二-o-对羟基苯甲酰- β -d-葡萄糖吡喃苷。这些抑制醛糖还原酶(多元醇途径的关键酶)的分子可以作为治疗糖尿病并发症的药物。然而,我们推荐体外和体内研究来证实我们的发现。
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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