INQA, Applied Chemistry Research Group- Faculty of Chemistry, Universidad El Bosque, Bogotá, Colombia.
GIBAT, Basic and Traslational Research Group - Faculty of Medicine, Universidad El Bosque, Bogotá, Colombia.
Eur J Pharm Sci. 2023 Apr 1;183:106403. doi: 10.1016/j.ejps.2023.106403. Epub 2023 Feb 8.
Depression is one of the most common mental illnesses, affecting almost 300 million people. According to the WHO, depression is one of the world's leading causes of disability and morbidity. People with this illness require both psychological and pharmaceutical treatment because severe depressive episodes often result in suicide. Selective serotonin reuptake inhibitors (SSRI) are widely used antidepressants that target the human serotonin transporter (hSERT). The crystallization of hSERT and the experimental data available allows cost and time-efficient computational tools like virtual screening (VS) to be utilized in the development of therapeutic agents. Here, we synthesized, characterized, and evaluated the biological activity of a novel SSRI analog of paroxetine, rationally designed by applying an artificial neural network-based QSAR model and a molecular docking analysis on hSERT. The analog N-substituted 18a showed higher affinity for the transporter (-10.2 kcal/mol), lower Ki value (1.19 nM) and a safer toxicological profile than paroxetine and was synthesized with a 71% yield. The in vitro cytotoxicity of the analog was evaluated using human glioblastoma (U87 MG), human neuroblastoma (SH SY5Y) and murine fibroblast (L929) cell lines. Also, the hemolytic ability of the compound was assessed on human erythrocytes. Results showed that analog 18a did not exhibit cytotoxic activity on the cell lines used and has no hemolytic activity at any of the concentrations tested, whereas with paroxetine, hemolysis was observed at 2.3, 1.29 y 0.67 mM. Based on these results, it is possible to suggest that analog 18a could be a promising new SSRI candidate for the treatment of this illness.
抑郁症是最常见的精神疾病之一,影响了近 3 亿人。据世界卫生组织称,抑郁症是世界上导致残疾和发病的主要原因之一。患有这种疾病的人需要心理和药物治疗,因为严重的抑郁发作常常导致自杀。选择性 5-羟色胺再摄取抑制剂(SSRI)是一种广泛使用的抗抑郁药,它针对的是人类 5-羟色胺转运体(hSERT)。hSERT 的结晶和现有的实验数据允许使用成本和时间效率高的计算工具,如虚拟筛选(VS),来开发治疗剂。在这里,我们通过对 hSERT 应用基于人工神经网络的 QSAR 模型和分子对接分析,合理设计并合成、表征和评估了帕罗西汀的新型 SSRI 类似物 18a 的生物学活性。类似物 N-取代 18a 对转运体的亲和力更高(-10.2 kcal/mol),Ki 值更低(1.19 nM),毒性谱更安全,比帕罗西汀的合成产率高 71%。使用人神经胶质瘤(U87 MG)、人神经母细胞瘤(SH SY5Y)和鼠成纤维细胞(L929)细胞系评估了类似物的体外细胞毒性。此外,还评估了化合物对人红细胞的溶血能力。结果表明,类似物 18a 对所用细胞系没有细胞毒性活性,在测试的任何浓度下都没有溶血活性,而帕罗西汀在 2.3、1.29 和 0.67 mM 时观察到溶血。基于这些结果,可以认为类似物 18a 可能是治疗这种疾病的一种很有前途的新型 SSRI 候选药物。