Omics combined with network pharmacology reveal the neuroprotective mechanism of Sophora tonkinensis based on the biolabel research pattern: The treatment of Parkinson's disease against oxidative stress and neuroexcitatory toxicity

Autor: Shuai‐nan Zhang, Hong‐mei Li, Qi Liu, Xu‐zhao Li, Wu‐de Yang, Ying Zhou
Rok vydání: 2022
Předmět:
Zdroj: Biomedical chromatography : BMC.
ISSN: 1099-0801
Popis: Based on the biolabel research pattern, omics and network pharmacology were used for exploring the neuroprotection of Sophora tonkinensis (ST) in the treatment of brain diseases. Multi-omics were applied to investigate biolabels for ST intervention in brain tissue. Based on biolabels, the therapeutic potential, mechanism, and material basis of ST treating brain diseases were topologically analyzed by network pharmacology. A Parkinson's disease (PD) mouse model was used to validate biolabel analysis results. Four proteins and three metabolites were involved in two key pathways (alanine, aspartate, and glutamate metabolism and arginine biosynthesis) and considered as biolabels. Network pharmacology showed that ST had the potential to treat some brain diseases, especially PD. Eight compounds (caffeic acid, gallic acid, cinnamic acid, etc.) may serve as the material basis of ST treating brain diseases via the mediation of three biolabels. In the PD model, ST and its active compounds (caffeic acid and gallic acid) may protect dopaminergic neurons (Maximum recovery rate for dopamine: 49.5%) from oxidative stress (PRKN, ROS, NO, etc.) and neuroexcitatory toxicity (GD, glutamine, glutamic acid, etc.). These findings indicated that omics and network pharmacology may contribute to the achievement of the objectives of this study based on the biolabel research pattern.
Databáze: OpenAIRE