ABSTRACT
Psychological suboptimal health status is an intermediate state between mental health and mental disease.Without timely intervention,psychological suboptimal health may develop into serious diseases that pose a threat to human physical and mental health,such as depression,anxiety disorders and high blood pressure.This review summarizes the scientific concepts,diagnostic Criteria,intervention and pharmacological research of psychological suboptimal health from the perspective of both modern medicine and traditional Chinese medicine and proposes possible solutions to existing problems in order to contribute to the identification,diagnosis,prevention and treatment of psychological suboptimal health.
ABSTRACT
Thearticle is aimed to find the correlation between bioactive components of XYE-E and the antidepressant efficacy, by analyzing the immovability time in tail suspension test (TST) and forced swimming test (FST). Using the method of gray relational analysis, correlation analysis and regression analysis, relating the peak area of each common peak of1H-NMR spectra with the immovability time in TST or FST, we found that there were total 14 chemical components identified in the1H-NMR spectrum of XYE-E. Among them, 8 compounds, including saikosaponin a, saikosaponin c, saikosaponin E, saikosaponin F, saikosaponin G, saikosaponin b2, atractylenolide I and atractylenolide II, had significant correlation with antidepressant efficacy.
ABSTRACT
The present study aims to predict the action targets of antidepressant active ingredients of Xiaoyaosan to understand the "multi-components, multi-targets and multi-pathways" mechanism. Using network pharmacology, the reported antidepressant active ingredients in Xiaoyaosan (saikosaponin A, saikosaponin C, saikosaponin D, ferulic acid, Z-ligustilide, atractylenolide I, atractylenolide II, atractylenolide III, paeoniflorin, albiflorin, liquiritin, glycyrrhizic acid and pachymic acid), were used to predict the targets of main active ingredients of Xiaoyaosan according to reversed pharmacophore matching method. The prediction was made via screening of the antidepressive drug targets approved by FDA in the DrugBank database and annotating the information of targets with the aid of MAS 3.0 biological molecular function software. The Cytoscape software was used to construct the Xiaoyaosan ingredients-targets-pathways network. The network analysis indicates that the active ingredients in Xiaoyaosan involve 25 targets in the energy metabolism-immune-signal transmutation relevant biological processes. The antidepressant effect of Xiaoyaosan reflects the features of traditional Chinese medicine in multi-components, multi-targets and multi-pathways. This research provides a scientific basis for elucidation of the antidepressant pharmacological mechanism of Xiaoyaosan.
ABSTRACT
The present study aimed to investigate the effect and the mechanisms of Bu-zhong-yi-qi-tang (BZYQ) on Spleen-Qi deficiency rat's model using nuclear magnetic resonance (NMR) metabolomics and multivariate statistical analysis methods. The rat Spleen-Qi deficiency model was established as follows: oral administration of Radix Rhei extract, loaded swimming and starvation for 24 h. The body weight and motor behavior of the rats were measured and recorded once a week. BZYQ could significantly improve body weight and behavioral of Spleen-Qi deficiency model rats compared with the model group (P < 0.05, 0.01). After drug administration, the changes in the levels of endogenous metabolites in the spleen including decreasing lactate, taurine and hypoxanthine, increasing glutamate and scyllo-inositol compared with the model group. The metabolomics approach is an effective tool for the investigation of the pharmacologic mechanism of BZYQ and it is helpful to further research.
ABSTRACT
The purpose of this study is to explore depression metabolic markers in rat hippocampus and to investigate the anti-depressant effect of genipin and its mechanisms using nuclear magnetic resonance (NMR) metabonomics. Chronic unpredictable mild stress (CUMS) procedure was conducted to establish the depressive rat model. At the beginning of the third week, genipin low dose (25 mg x kg(-1)), middle dose (50 mg x kg(-1)), high dose (100 mg x kg(-1)), and venlafaxine (50 mg x kg(-1)) were given to the CUMS rats separately once daily for two weeks except control and model groups. Rat hippocampus was analyzed by 1H NMR based metabonomics after drug administration for 2 weeks. Significant differences in the metabolic profile of rat hippocampus of the CUMS treated group and the control group were observed with metabolic effects of CUMS including decreasing in glycine and N-acetylaspartate, increasing in inositol, glutamate, lactate, glutamine, taurine and alanine. Genipin showed ideal antidepressive effects at a dose of 50 mg x kg(-1) in rats, decrease of inositol, glutamate, lactate, alanine were observed, while glycine and N-acetylaspartate were increased. Important influence has been found on normal nervous system function of these significant changed metabolites, which suggests that the antidepressant effect of genipin may be played by enhancing the activity of neurons in hippocampus, repairing and improving the function of the neuron. The metabonomics approach is an effective tool for the investigation of the anti-depressant effect and pharmacologic mechanisms of genipin.