Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. Cholinesterase inhibitors (ChEIs) are commonly used for symptomatic treatment of neural transmission improvement in AD. Donepezil is a reversible and non-competitive ChEI which is clinically used for palliative treatment of AD. The aim of the present study was to investigate the destabilizing effect of donepezil loaded poly(lactic-co-glycolic acid)-block-poly (ethylene glycol) [PLGA-b-PEG] nanoparticles on fibril formation in vitro and the ability of these nanoparticles to cross blood brain barrier (BBB) using in vitro BBB model and the neuroprotective effects of free donepezil and donepezil loaded PLGA-b-PEG nanoparticles. Donepezil loaded PLGA-b-PEG nanoparticles were prepared with double emulsion method. Destabilizing effect of these donepezil loaded particles on the amyloid-beta fibril (Aβ and Aβ) formation was determined in vitro. Nanoparticles were found to have small particle size and have destabilizing effect on fibril formation. In vitro BBB model was successfully prepared. Nanoparticles showed the ability to cross the BBB and showed a controlled release profile in this system. IL-1β, IL-6, GM-CSF, TGF-β, MCP-1 and TNF-α levels were found to be increased in both gene and protein expression levels in astrocytes incubated with amyloid fibrils in in vitro BBB model suggesting an increased inflammation. Free donepezil and donepezil loaded nanoparticle administration caused a significant dose-dependent decrease in both gene and protein expression levels of IL-1β, IL-6, GM-CSF and TNF-α. No significant changes were observed for TGF-β and MCP-1.

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With important social and economic consequences, spinal cord injuries (SCIs) still exist among major health problems. Although many therapeutic agents and methods investigated for the treatment of acute SCI, only high dose methylprednisolone (MP) is being used currently in practice. Due to the serious side effects, high dose systemic MP administration after SCI is a critical issue that is mostly considered controversial. In our study, it is aimed to develop a nanoparticle-gel combined drug delivery system for localization of MP on trauma site and eliminating dose-dependent side effects by lowering the administered dose. For this purpose, methyl prednisolone sodium succinate (MPSS) loaded polycaprolactone based nanoparticles were developed and embedded in an implantable fibrin gel. The effects of MPSS delivery system are evaluated on an acute SCI rat model, by quantification the levels of three inflammatory cytokines (interleukin-1β, interleukin-6 and caspase-3) and assessment of the damage on ultrastructural level by transmission electron microscopy. Developed NP-gel system showed very similar results with systemic high dose of MPSS. It is believed that developed system may be used as a tool for the safe and effective localized delivery of several other therapeutic molecules on injured spinal cord cases.

A group of 3,5-diaryl-2-pyrazoline and hydrazone derivatives was prepared via the reaction of various chalcones with hydrazide compounds in ethanol. Twenty original compounds were synthesized. Ten of these original compounds have a pyrazoline structure, nine of these original compounds have a hydrazone structure, and one of these original compounds has a chalcone structure. Structural elucidation of the compounds was performed by IR, (1)H NMR, (13)C NMR, mass spectral data, and elemental analyses. These compounds were tested for their inhibitory activities toward the A and B isoforms of human monoamine oxidase (MAO). Except for 3k and 6c, all compounds were found to be competitive, reversible, and selective inhibitors for either one of the isoforms (hMAO-A or MAO-B). Compounds 3k and 6c were found to be competitive, reversible, but non-selective MAO inhibitors. Compound 6h showed hMAO-B inhibitory activity whereas the others potently inhibited hMAO-A. Compound 5c showed higher selectivity than the standard drug moclobemide. According to the experimental K(i) values, compounds 6i, 6d, and 6a exhibited the highest inhibitory activity toward hMAO-A. The AutoDock 4.2 program was employed to perform automated molecular docking. The calculated results obtained computationally were in good agreement with the experimental values.