Suppr超能文献

芴基-邻苯二甲酰亚胺杂化物作为具有选择性抗癌活性的强效醛糖还原酶抑制剂:合理设计、合成及分子见解

Fluorenyl-phthalimide hybrids as potent aldose reductase inhibitors with selective anticancer activity: Rational design, synthesis, and molecular insights.

作者信息

Gundogdu Saliha, Duran Hatice Esra, Arslan Mustafa, Çetinkaya Büşra Demir, Türkeş Cüneyt

机构信息

Department of Chemistry, Faculty of Sciences, Sakarya University, Sakarya, 54187, Türkiye.

Department of Medical Biochemistry, Faculty of Medicine, Kafkas University, Kars, 36100, Türkiye.

出版信息

Bioorg Chem. 2025 Aug;163:108689. doi: 10.1016/j.bioorg.2025.108689. Epub 2025 Jun 23.

Abstract

Metabolic reprogramming in cancer cells creates actionable vulnerabilities for precision oncology. Aldose reductase (ALR2, AKR1B1; EC 1.1.1.21), a cytosolic NADPH-dependent oxidoreductase, has emerged as a multifunctional player in tumor progression, drug resistance, and oxidative stress modulation, yet remains underexploited as a cancer target. In this study, we report the rational design, synthesis, and biological evaluation of a focused series of fluorenyl-phthalimide carboxylic-acid hybrids (5a-5l) as dual-acting agents with selective anticancer potential and potent ALR2 inhibition. Among them, compound 5a exhibited the strongest ALR2 inhibition with a K of 8.71 ± 0.81 nM, far surpassing the clinical comparator epalrestat (K = 232.10 ± 14.42 nM). In MCF-7 and A549 carcinoma cells, 5a demonstrated moderate antiproliferative activity (IC = 52.04 μM and 192.91 μM, respectively) while sparing normal bronchial epithelial cells, indicating tumor selectivity. Molecular docking and MM-GBSA calculations (ΔGbind = -44.02 kcal/mol) revealed a consistent bidentate hydrogen bonding network supporting high-affinity binding involving Tyr48, His110, and Trp111, further stabilized by crystallographic water molecules. To explore structure-activity relationships, a Random Forest regression model was developed using 24 descriptors derived from QikProp. The model achieved strong predictive performance (QCV = 0.71), and SHAP analysis identified water/gas partition coefficient, skin permeability, and human oral absorption as the most influential features shaping inhibitory potency. In silico ADME/Tox profiling supported the drug-like nature of compound 5a, with no major CYP or hERG liabilities predicted. Collectively, these findings position 5a as a first-in-class ALR2-targeted anticancer lead, introducing a chemically novel and mechanistically validated chemotype for further development within the framework of metabolically targeted precision therapies.

摘要

癌细胞中的代谢重编程为精准肿瘤学创造了可利用的脆弱性。醛糖还原酶(ALR2,AKR1B1;EC 1.1.1.21)是一种胞质NADPH依赖性氧化还原酶,已成为肿瘤进展、耐药性和氧化应激调节中的多功能参与者,但作为癌症靶点仍未得到充分利用。在本研究中,我们报告了一系列芴基-邻苯二甲酰亚胺羧酸杂化物(5a-5l)的合理设计、合成及生物学评价,这些杂化物是具有选择性抗癌潜力和强效ALR2抑制作用的双功能药物。其中,化合物5a表现出最强的ALR2抑制作用,K值为8.71±0.81 nM,远远超过临床对照药依帕司他(K = 232.10±14.42 nM)。在MCF-7和A549癌细胞中,5a表现出中等程度的抗增殖活性(IC分别为52.04 μM和192.91 μM),同时对正常支气管上皮细胞具有保护作用,表明具有肿瘤选择性。分子对接和MM-GBSA计算(ΔGbind = -44.02 kcal/mol)揭示了一个一致的双齿氢键网络,支持涉及Tyr48、His110和Trp111的高亲和力结合,并通过结晶水分子进一步稳定。为了探索构效关系,使用从QikProp衍生的24个描述符开发了一个随机森林回归模型。该模型具有很强的预测性能(QCV = 0.71),SHAP分析确定水/气分配系数、皮肤渗透性和人体口服吸收是影响抑制效力的最具影响力的特征。计算机辅助ADME/Tox分析支持化合物5a的类药性质,预测没有主要的CYP或hERG不良反应。总的来说,这些发现将5a定位为首个靶向ALR2的抗癌先导物,引入了一种化学新颖且机制经过验证的化学类型,以便在代谢靶向精准治疗框架内进一步开发。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验