Lipogenic stearoyl-CoA desaturase-1 (SCD1) targeted virtual screening for chemical inhibitors: molecular docking / dynamics simulation and in vitro assessment of anti-NAFLD efficacy

脂肪生成的硬脂酰辅酶A去饱和酶-1(SCD1)靶向虚拟筛选化学抑制剂:分子对接/动力学模拟和体外抗NAFLD功效评估

阅读:6
作者:Sonakshi Puri, Shivani Kirad, Mohammed Muzaffar-Ur-Rehman, Sumit Kumar Mandal, Pankaj Kumar Sharma, Murugesan Sankaranarayanan, P R Deepa

Abstract

Amidst rising global prevalence of metabolic syndrome, the associated risk of non-alcoholic fatty liver disease (NAFLD) is also rapidly increasing. The pathogenesis of NAFLD starts with fat accumulation and progresses through inflammation and fibrotic sequel, often involving complex molecular mechanisms involving de novo lipogenesis. Stearoyl-CoA desaturase 1 (SCD1) enzyme, expressed in liver and adipose tissue, converts saturated fatty acids to monounsaturated fatty acids (MUFAs), contributing to triglyceride and cholesterol ester formation. In this study, potential SCD1 inhibitors were screened using the ZINC database of curated medically-approved drugs by virtual screening, molecular docking, and molecular dynamics simulations. The top-scoring five ligands with strong binding affinity against SCD1 were ZINC000003831151 > ZINC000001540998 > ZINC000003830713 > ZINC000000897251 > ZINC000002005305, which showed stable protein-ligand complexation and favorable pharmacokinetic attributes. The top ligand, Montelukast, was experimentally validated for its pharmacological efficacy in an in vitro cell culture model of steatosis (NAFLD). Montelukast showed a dose-dependent decrease in hepatic fat accumulation, reduced levels of free radicals, and lowered oxidative stress (P < 0.05). These outcomes suggest Montelukast to be a potential SCD1 inhibitor, with anti-NAFLD efficacy. These findings open new avenues for therapeutic development of the top 5 ligands in metabolic disorders involving SCD1.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。