Abstract
In this study, we examined the metabolites from different parts of Acanthopanax senticosus and their role in alleviating damage caused by oxidative stress. We used UHPLC-QTOF-MS to analyze the chemical components in the root, seed, and leaf extracts of A. senticosus. Two multivariate statistical analysis methods—namely, principal component analysis and partial least square discriminant analysis—were used to distinguish the samples obtained from different parts of the plant. Using univariate statistics, 130 different metabolites were screened out. Among these, the relative content of flavonoids and terpenoids was found to be highest in the leaves, the lignin and phenolic acid content was highest in the roots, and the amino acid and phenolic acid levels were highest in seeds. An MTT assay was used to test the anti-H2O2 oxidative damage to PC12 cells in different parts of the sample. Lastly, using Pearson's correlation analysis, various metabolites from different parts of A. senticosus were correlated with their antioxidant effects from the corresponding parts. Fifty-two related different metabolites were found, of which 20 metabolites that were positively correlated to oxidative stress were present at a relatively higher level in the roots, whereas 32 metabolites that were negatively correlated were present at relatively higher levels in the seeds and leaves. The results of this study reveal the distribution characteristics and the antioxidant activity of different metabolites of A. senticosus and provide a reference for the rational development of its medicinal parts.
Highlights
With an increase in the aging phenomenon, millions of individuals worldwide are affected by neurodegenerative diseases, which is one of the most significant challenges faced by modern society [1]
PC12 cells are widely used in the establishment of neuronal damage-related models owing to their high structural and functional similarity with dopaminergic neurons. ese cells are, used to study neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) [8]. e primary methods used to develop this model include H2O2 damage or glutamate damage [9]
We found that when the H2O2 concentration was 400 μm/L, the cell viability was closest to half of the control group. us, we chose 400 μm/L as the concentration for studies using the oxidative damage model
Summary
With an increase in the aging phenomenon, millions of individuals worldwide are affected by neurodegenerative diseases, which is one of the most significant challenges faced by modern society [1]. Acanthopanax senticosus is a traditional Chinese medicine rich in saponins, flavonoids, and phenolic acids [10] It plays an important role in the treatment of diseases of the central nervous system [11]. Using UHPLC-Q-TOF-MS plant metabolomics technology and modern activity evaluation methods, and through correlation analysis of various data, the effective ingredients of traditional Chinese medicine are clarified. Compared with traditional research methods, this research method has more comprehensive and more efficient analysis results and plays a very good role in promoting basic research on the quality of traditional Chinese medicine It has become a new trend and hot spot in the research of active ingredients of traditional Chinese medicine in recent years [14, 15]. Using Pearson’s correlation analysis, the differential marker results of different parts of A. senticosus and the anti-H2O2 oxidative damage results of the corresponding parts were correlated to find the material basis of antioxidative stress damage in different parts of A. senticosus
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