Marzieh Eskandarzadeh

Bio: Marzieh Eskandarzadeh is an academic researcher from Lorestan University of Medical Sciences. The author has contributed to research in topics: Docking (molecular) & Secologanin. The author has co-authored 1 publications.

Inhibition of GSK_3β by Iridoid Glycosides of Snowberry (Symphoricarpos albus) Effective in the Treatment of Alzheimer's Disease Using Computational Drug Design Methods.

Abstract: The inhibition of glycogen synthase kinase-3β (GSK-3β) activity prevents tau hyperphosphorylation and binds it to the microtubule network. Therefore, a GSK-3β inhibitor may be a recommended drug for Alzheimer’s treatment. In silico methods are currently considered as one of the fastest and most cost-effective available alternatives for drug/design discovery in the field of treatment. In this study, computational drug design was conducted to introduce compounds that play an effective role in inhibiting the GSK-3β enzyme by molecular docking and molecular dynamics simulation. The iridoid glycosides of the common snowberry (Symphoricarpos albus), including loganin, secologanin, and loganetin, are compounds that have an effect on improving memory and cognitive impairment and the results of which on Alzheimer’s have been studied as well. In this study, in the molecular docking phase, loganin was considered a more potent inhibitor of this protein by establishing a hydrogen bond with the ATP-binding site of GSK-3β protein and the most negative binding energy to secologanin and loganetin. Moreover, by molecular dynamics simulation of these ligands and GSK-3β protein, all structures were found to be stable during the simulation. In addition, the protein structure represented no change and remained stable by binding ligands to GSK-3β protein. Furthermore, loganin and loganetin have higher binding free energy than secologanin; thus, these compounds could effectively bind to the active site of GSK-3β protein. Hence, loganin and loganetin as iridoid glycosides can be effective in Alzheimer’s prevention and treatment, and thus, further in vitro and in vivo studies can focus on these iridoid glycosides as an alternative treatment.

Sweroside Ameliorated Memory Deficits in Scopolamine-Induced Zebrafish (Danio rerio) Model: Involvement of Cholinergic System and Brain Oxidative Stress

Abstract: Sweroside is a secoiridoid glycoside and belongs to a large group of naturally occurring monoterpenes with glucose sugar attached to C-1 in the pyran ring. Sweroside can promote different biological activities such as antifungal, antibacterial, hepatoprotective, gastroprotective, sedative and antitumor, antioxidant, and neuroprotective activities. Zebrafish were given sweroside (12.79, 8.35, and 13.95 nM) by immersion once daily for 8 days, along with scopolamine (Sco, 100 μM) 30 min before the initiation of the behavioral testing to cause anxiety and memory loss. Employing the novel tank diving test (NTT), the Y-maze, and the novel object recognition test (NOR), anxiety-like reactions and memory-related behaviors were assessed. The following seven groups (n = 10 animals per group) were used: control, Sco (100 μM), sweroside treatment (2.79, 8.35, and 13.95 nM), galantamine (GAL, 2.71 μM as the positive control in Y-maze and NOR tests), and imipramine (IMP, 63.11 μM as the positive control in NTT test). Acetylcholinesterase activity (AChE) and the antioxidant condition of the brains were also evaluated. The structure of sweroside isolated from Schenkia spicata was identified. Treatment with sweroside significantly improved the Sco-induced decrease of the cholinergic system activity and brain oxidative stress. These results suggest that sweroside exerts a significant effect on anxiety and cognitive impairment, driven in part by the modulation of the cholinergic system activity and brain antioxidant action.

Integrating transcriptome and chemical analyses to reveal the anti-Alzheimer’s disease components in Verbena officinalis Linn

Abstract: Verbena officinalis Linn. is a kind of traditional Chinese medicine, which has a long history of application and shows good effects on neuroprotection. Therefore, we consider that V. officinalis may be a potential drug for treating Alzheimer’s disease (AD). First, ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) pointed out that the main chemical components in V. officinalis were iridoid glycosides, phenylethanoid glycosides, and flavonoids. These compounds were used for molecular docking and the results showed that these compounds had good anti-AD activity. To explore the biosynthetic pathway of anti-AD components in V. officinalis, UPLC and ultraviolet (UV) spectrophotometry were used for contents determination and the result was leaf > stem > root. At the same time, 92,867 unigenes were annotated in V. officinalis transcriptome; 206, 229, 115 related unigenes were, respectively, annotated in iridoid glycoside, phenylethanoid glycoside, and flavonoid pathway, of which 61, 73, and 35 were differential expression genes. The components had relatively high expression in leaves, which was consistent with the quantitative results. In addition, the tissue distribution particularity of verbenalin may be related to the branching of pathways. Meanwhile transcription factors VoWRKY6 and VoWRKY7 may be involved in the regulation of iridoid glycoside biosynthesis. Further, VoWRKY3, VoWRKY9, and VoWRKY12 may be related to flavonoid biosynthesis. The above research is helpful to explore the biosynthetic pathway of anti-AD components and the regulation mechanism of active components and to further explore the anti-AD effect of V. officinalis.

Computational Modeling of Kinase Inhibitors as Anti-Alzheimer Agents

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disease distinguished by memory loss, cognitive dysfunction, impaired functional abilities, and behavioral changes. Being the most common form of senile dementia, AD can be characterized by the presence of two types of neuropathological hallmarks: neurofibrillary tangles (NFTs) and senile plaques (SP). The phosphorylation of tau is controlled and regulated by a group of kinase and phosphatase enzymes, making their systemic balance to be an important issue. Disruption of this equilibrium leads to tau hyperphosphorylation followed by tau aggregation. Inhibition of specific tau kinases, therefore, is a potential strategy to reverse tau pathology. However, new drug discovery comes with its own challenges involving high cost of experimentation, resources, and manpower. Thus, to combat these drawbacks, computational methods like pharmacophore modeling, molecular docking, molecular dynamic (MD) simulation, binding energy analysis, and QSAR are used for screening and prediction of new targets. Besides these, such techniques allow the application of available structural information for generating novel molecules contributing to the rational design of inhibitors. In the present book chapter, we have extensively reviewed different tau kinases, their systemic roles, and mechanism of tau phosphorylation relevant to cause AD. Also, the chapter encompasses different computational studies carried out in the last 4 years on various protein kinases in search of potential anti-Alzheimer’s agents.