Antioxidant, anti-inflammatory and neuroprotective effect of kaempferol on rotenone-induced Parkinson's disease model of rats and SH-S5Y5 cells by preventing loss of tyrosine hydroxylase
JOURNAL OF FUNCTIONAL FOODS
Authors: Pan, Xiaohua; Liu, Xiuzhen; Zhao, Hai; Wu, Bo; Liu, Guorong
Abstract
The present study investigated the antioxidant and neuroprotective effect of kaempferol against rotenone-induced Parkinson's disease (PD). Kaempferol inhibits apomorphine-induced rotational behavior and inhibited lipid peroxidation and interleukin (IL)-6 and tumor necrosis factor (TNF)-alpha, while antioxidant markers were increased in a PD rat model and SH-S5Y5 cells. Kaempferol increased levels of monoamine in striatum and substantia nigra region of brain. Histopathological analyses showed that kaempferol inhibited apoptosis. Intracellular reactive oxygen species (ROS) and apoptosis were also inhibited by more than 50%. The mRNA expression of tyrosine hydroxylase was increased 0.45- and 1.04-fold at 25 and 50 mu M kaempferol respectively, and protein expression of tyrosine hydroxylase was also increased. In addition, In silica molecular docking study confirmed the binding interaction between tyrosine hydroxylase and kaempferol. These results show that kaempferol act as neuroprotective agent against rotenone-induced PD model of rats and SH-S5Y5 cells by preventing the loss of tyrosine hydroxylase expression.
Mathematical modeling of canonical and non-canonical NF-kappa B pathways in TNF stimulation
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Authors: Ji, Bing; Zhang, Yao; Zhen, Changqing; Fagan, Michael J.; Yang, Qing
Abstract
Background and objective: NF-kappa B can be activated by the canonical and non-canonical pathways. These two pathways interplay via the TRAF1 vertical bar NIK complex after stimulation by TNF. However existing mathematical models of two pathways are inadequate. In this context, an improved mathematical model is constructed to simulate these two pathways and their coupling stimulated by TNF. Methods: A schematic description of two NF-kappa B pathways and their relation after TNF stimulation is constructed at first. Then twenty-eight ordinary differential equations are utilized to build the mathematical model. Model equations are solved via the ordinary differential equation solver (ode23). Results: The proposed model firstly reconstructs the changes in concentrations of NF-kappa B pathway related biochemical factors with time, and further investigates the underlying mechanism of interaction between two pathways through the TRAF1 vertical bar NIK complex after stimulation. Conclusions: The model is validated through good agreement between simulation results and published experimental observations. This study helps to well understand the canonical and non-canonical pathways and their interaction. It also provides a potential tool to investigate how the dysregulated pathways act in pathological conditions. (C) 2020 Elsevier B.V. All rights reserved.