Exploring tryptamine derivatives as potential agents for diabetes and cancer treatment: in-vitro kinetics, molecular docking, and cell toxicity based investigations.
Majid Khan, Atta Ullah, Sobia Ahsan Halim, Muhammad Waqas, Abida Mushtaque, Shah Mulk, Fearoz Khan, Li Gao, Asaad Khalid, Arsalan Nizamani, Hamdy Kashtoh, Ajmal Khan, Ahmed Al-Harrasi
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引用次数: 0
Abstract
Abnormal glucose levels in diabetes mellitus cause chronic complications like neuropathy, nephropathy, retinopathy, cataract, and cardiovascular issues. Aldose reductase (AR), an enzyme in the polyol pathway, is crucial for developing treatments for diabetic complications. To this end, a series of twenty inhibitors based on tryptamine scaffolds were synthesized and assessed for their efficacy in inhibiting AR activity. The compounds showed strong to moderate inhibition of AR with IC50 values ranging from 0.07 µM to 8.11 µM. Among these analogs, 3 showed the highest IC50 value (0.07 ± 0.9 µM), and 1 showed the weakest inhibition of AR (IC50 = 8.11 ± 0.7 µM). Furthermore, the cytotoxic potential of these analogs was tested in human fibroblast cells (BJ cell line), where all the compounds showed no toxic effect. Having the advantage of the non-toxic factor of the compounds, these molecules were further tested for anti-cancerous activity in glioblastoma multiforme (GBM) cell line U87. Compounds 1-5, 14, 17, and 20 showed significant inhibitory effects on the growth of U87 cells in various concentrations, whereas compounds 6, 11 and 18 showed moderate inhibition. In-vitro mechanistic studies show that compounds have competitive mode of inhibition for AR. Furthermore, molecular docking studies reveal that these compounds fit appropriately into the active site of AR. Finally, our study explores the stability and binding affinities of selected tryptamine-based inhibitors of AR using molecular dynamics simulations, identifying compounds 2 and 3 as promising candidates for therapeutic development.
期刊介绍:
The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.