Xiao-Xia Gao

Metabonomic study on chronic unpredictable mild stress and intervention effects of Xiaoyaosan in rats using gas chromatography coupled with mass spectrometry

ETHNOPHARMACOLOGY Xiaoyaosan (XYS), a famous Chinese prescription, composed of Radix Bupleuri (Bupleurum chinense DC.), Radix Angelicae Sinensis (Angelica sinensis (Oliv.) Diels), Radix Paeoniae Alba (Paeonia lactiflora Pall.), Rhizoma Atractylodis Macrocephalae (Atractylodes macrocephala Koidz.), Poria (Poria cocos (Schw.) Wolf), Radix Glycyrrhizae (Glycyrrhiza uralensis Fisch.), Herba Menthae (Mentha haplocalyx Briq.), and Rhizoma Zingiberis Recens (Zingiber officinale Rosc.), has been widely used in the clinic for treating mental disorders. Behavior and biochemical analyses indicate XYS has obvious anti-depression activity. However, there is no report on the effects of XYS using a metabolomics approach. AIM OF THE STUDY Depression is a prevalent complex psychiatric disorder and its pathophysiological mechanism is not yet well understood. This paper was designed to study metabonomic characters of the depression induced by chronic unpredictable mild stress (CUMS) and the therapeutic effects of XYS, classic traditional Chinese medicine (TCM) in treating the depression. MATERIAL AND METHODS A plasma metabonomics method based on gas chromatography/mass spectrometry (GC/MS) was developed. Principal component analysis (PCA) was utilized to classify and reveal the differences between the model group and control group. In turns, the concentration of these differences was analyzed with t-test to determine whether XYS was possible to influence the metabolic pattern induced by CUMS. RESULTS The significant difference in metabolic profiling was observed from model group compared with drug-dose group by using the PCA, indicating the recovery effect of XYS on CUMS rats. Some significantly changed metabolites like glycine, glucose and hexadecanoic acid have been identified. These biochemical changes are related to the disturbance in amino acid metabolism, energy metabolism and glycometabolism, which are helpful to further understand the CUMS and the therapeutic mechanism of XYS. CONCLUSIONS Metabonomic approach is helpful to further understanding the pathophysiology of depression and assisting in clinical diagnosis of depression and is also a valuable tool for studying the essence of Chinese medicines syndrome theory and therapeutic effect mechanism of TCM.

Antidepressant-like effects of the fractions of Xiaoyaosan on rat model of chronic unpredictable mild stress.

ETHNOPHARMACOLOGICAL RELEVANCE Xiaoyaosan (XYS), composed of Radix Bupleuri, Radix Angelicae Sinensis, Radix Paeoniae Alba, Rhizoma Atractylodis Macrocephalae, Poria, Herba Menthae, Rhizoma Zingiberis Recens and Radix Glycyrrhizae, is a valuable traditional Chinese medicine (TCM) which is used for the treatment of depression in China. In the formula, Radix Bupleuri usually serves as the principal drug, Radix Angelicae Sinensis and Radix Paeoniae Alba serve as the ministerial drugs, Rhizoma Atractylodis Macrocephalae, Poria, Herba Menthae and Rhizoma Zingiberis Recens serve as adjunctive drugs, Radix Glycyrrhizae serves as messenger drug, they coordinate with each other and enhance the effect of the formula. In our previous experiments, the antidepressant effect of XYS was revealed. However, the antidepressant part (or component) of this prescription was still obscure. We divided the XYS into five different polar fractions, and explored the antidepressant activity of five different polar fractions to identify the active fraction. MATERIALS AND METHODS Behavior research and metabonomics method based on (1)H NMR were used for efficacy study of different fractions in chronic unpredictable mild stress (CUMS) model of depression. Rats were divided into 8 groups and drugs were administered during the 21 days model building period. The urine samples of rats were collected overnight (12h) on 21 day and the metabolic profiling of the urine was measured using NMR. Multivariate analysis was also utilized to evaluate the active fraction of XYS. RESULTS In the behavior research, there were significant difference between the lipophilic fraction group (XY-A) and the model group. In addition, with pattern recognition analysis of urinary metabolites, the results showed a clear separation of the model group and control group, while XY-A group was much closer to the control group in the OSC-PLS score plot. Seven endogenous metabolites contributing to the separation of the model group and control group were detected, while XY-A group regulated the 5 perturbed metabolites showing a tendency of recovering to control group. CONCLUSIONS The present work suggested that petroleum ether fraction was the most effective fraction, implying that lipophilic components contribute to the antidepressant effect of XYS.

Dynamic analysis of the endogenous metabolites in depressed patients treated with TCM formula Xiaoyaosan using urinary 1H NMR-based metabolomics

ETHNOPHAMACOLOGICAL RELEVANCE Xiaoyaosan (XYS), one of the best-known traditional Chinese medicine prescriptions with a long history of use, is composed of Bupleurum chinense DC., Paeonia lactiflora Pall., Poria cocos (Schw.) Wolf, Angelica sinensis (Oliv.) Diels, Zingiber officinale Rosc., Atractylodes macrocephala Koidz., Glycyrrhiza uralensis Fisch., and Mentha haplocalyx Briq. For centuries, XYS has been widely used in China for the treatment of mental disorders such as depression. However, the complicated mechanism underlying the antidepressant activity of XYS is not yet well-understood. This understanding is complicated by the sophisticated pathophysiology of depression and by the complexity of XYS, which has multiple constituents acting on different metabolic pathways. The variations of endogenous metabolites in depressed patients after administration of XYS may help elucidate the anti-depressant effect and mechanism of action of XYS. The aim of this study is to establish the metabolic profile of depressive disorder and to investigate the changes of endogenous metabolites in the depressed patients before and after the treatment of Xiaoyaosan using the dynamic analysis of urine metabolomics profiles based on (1)H NMR. MATERIALS AND METHODS Twenty-one depressed patients were recruited from the Traditional Chinese Medicine Department of the First Affiliated Hospital of Shanxi Medical University. Small endogenous metabolites present in urine samples were measured by nuclear magnetic resonance (NMR) and analyzed by multivariate statistical methods. The patients then received XYS treatment for six weeks, after which their Hamilton Depression Scale (HAMD) scores were significantly decreased compared with their baseline scores (p≤0.01). Eight components in urine specimens were identified that enabled discrimination between the pre- and post-XYS-treated samples. RESULTS Urinary of creatinine, taurine, 2-oxoglutarate and xanthurenic acid increased significantly after XYS treatment (p≤0.05), while the urinary levels of citrate, lactate, alanine and dimethylamine decreased significantly (p≤0.05) compared with pre-treatment urine samples. These statistically significant perturbations are involved in energy metabolism, gut microbes, tryptophan metabolism and taurine metabolism. CONCLUSIONS The symptoms of depression had been improved after 6 weeks׳ treatment of XYS according to evaluation of HAMD scores. The dynamic tendency of the 8 metabolites that changed significantly during the treatment of XYS is consistent with the improvement in symptoms of depression. These metabolites may be used as biomarkers for the diagnosis of depressive disorders or the evaluation of the antidepressant as well as the exploration of the mechanism of depression.

Urinary metabonomic study using a CUMS rat model of depression.

Chronic unpredictable mild stress (CUMS) is a well‐validated model of depression. In this study, a urinary metabonomics method based on the NMR spectrometry was used to study the metabolic perturbation in CUMS‐induced rat depression model. With pattern recognition analysis, a clear separation of CUMS rats and healthy controls was achieved, and nine endogenous metabolites contributing to the separation were identified. CUMS‐treated rats were characterized by the increase of glycine, pyruvate, glutamine, and asparagines, as well as the decrease of 2‐oxoglutarate, dimethylglycine, citrate, succinate, and acetate. The urinary biochemical changes related to the metabolic disturbance in CUMS induced depression, and the possible correlations with live qi stagnation in traditional Chinese medicine are discussed. The work shows that CUMS is a reliable model for studying depression, and the noninvasive urinary metabolomic method is a valuable tool to investigate the biochemical pertubations in depression as an early diagnostic means. Copyright

Plasma-metabolite-biomarkers for the therapeutic response in depressed patients by the traditional Chinese medicine formula Xiaoyaosan: A 1H NMR-based metabolomics approach

BACKGROUND Depression is one of the most prevalent and serious mental disorders. Xiaoyaosan, a well-known Chinese prescription, has been widely used for the treatment of depression in China. Both clinical studies and animal experiments indicate that Xiaoyaosan has an obvious antidepressant activity. Additionally, a large number of candidate biomarkers have emerged that can be used for early disease detection and for monitoring ongoing treatment response to therapy because of their correlations with the characteristics of the disease. However, there have been few reports on biomarkers that measure the treatment response to the clinical use of Xiaoyaosan using a metabolomics approach. The current study is aimed at discovering biomarkers and biochemical pathways to facilitate the diagnosis of depression and the efficient evaluation of Xiaoyaosan using plasma metabolomics profiles based on (1)H NMR. METHODS Sixteen depressed patients diagnosed by standard methods (HAMD and CGI-SI) and sixteen healthy volunteers were recruited. (1)H NMR-based metabolomics techniques and multivariate statistical methods were used to analyze the plasma metabolites of the depressed patients before and after treatment and to compare them with healthy controls. RESULTS The plasma levels of trimethylamine oxide, glutamine and lactate in depressed patients increased significantly (p≤0.05) compared with healthy controls, whereas the levels of phenylalanine, valine, alanine, glycine, leucine, citrate, choline, lipids and glucose decreased significantly (p≤0.05). Additionally, alanine, choline, trimethylamine oxide, glutamine, lactate and glucose were returned to normal levels after Xiaoyaosan treatment. These statistically significant perturbations are involved in energy metabolism, amino acid metabolism and gut microbiota metabolism. LIMITATIONS Additional experimentation with gas chromatography-mass spectrometry (GC-MS) or liquid chromatography-mass spectrometry (LC-MS) is required to confirm our findings. CONCLUSIONS Application of these biomarkers in clinical practice may help to optimize the diagnosis of depression and to evaluate the efficacy of Xiaoyaosan. Metabolomics is promising as a biomarker discovery tool.

A GC–MS urinary quantitative metabolomics analysis in depressed patients treated with TCM formula of Xiaoyaosan

Xiaoyaosan, one of the best-known traditional Chinese medicine prescriptions, has been widely used in China for the treatment of mental disorders such as depression. Although both clinical application and animal experiments indicate that Xiaoyaosan has an obvious antidepressant effect, the mechanism still remains unclarified, and there are few studies quantitatively measured the biomarkers of Xiaoyaosan treatment by metabolomics to determination. In this study, 25 depressed patients and 33 healthy volunteers were recruited. A GC-MS based metabolomics approach and the multivariate statistical methods were used for analyzing the urine metabolites of depressed patients before and after treatment compared with healthy controls. Then the biomakers through metabolomics determination were carried out the quantitative analysis. In total, 5 metabolites were identified as the potential diseased and therapeutic biomarkers of depression and Xiaoyaosan. Alanine, citrate and hippurate levels were significantly increased in the urine samples from depressed patients compared with healthy controls, while phenylalanie and tyrosine levels were significantly decreased. However, after Xiaoyaosan treatment for 6 weeks, phenylalanie and tyrosine levels were significantly increased (p<0.05) and alanine, citrate and hippurate levels significantly decreased (p<0.05). Xiaoyaosan has a good priority on the treatment of depression and the ability to adjust the neurotransmitters to obtain the best treated response and also could regulate the metabolism of amino acids and promote to produce energy meet the needs of the body.

A qualitative, and quantitative determination and pharmacokinetic study of four polyacetylenes from Radix Bupleuri by UPLC-PDA–MS

This study was carried out to identify some new antidepressant compounds present in Radix Bupleuri (RB) and to develop a method for their quantitative analysis in rat serum for the first time. Four polyacetylenes, including two new compounds, were isolated from Bupleurum scorzonerifoliu and identified. An in vitro uptake study using rat synaptosomes showed that the polyacetylenes potently inhibited serotonin, norepinephrine and dopamine reuptake, and exhibited an antidepressant activity with a potency comparable with or better than their corresponding specific inhibitors. An ultra-performance liquid chromatography coupled with photodiode array detector (UPLC-PDA) method was developed for their quantitative analysis in rat serum. The analysis was performed on a Waters BEH C18 column (1.7 μm, 100 × 2.1 mm i.d.) using a gradient system of acetonitrile and 0.03% trifluoroacetic acid water, with a detector wavelength of 315 nm. Only two polyacetylenes, ((2 Z,8 E,10 E)-pentadecatriene-4,6-diyn-1-ol (RB-2) and bupleurynol (RB-4)), were detected in the primarily pharmacokinetic study of the petroleum ether fraction of RB. Both were rapidly absorbed and slowly eliminated. The rat exposure was approximately linear under the studied dosages ranging from 22.5 to 90 g/kg herb. In summary, polyacetylenes appear to be the key components responsible for the antidepressant activity of RB, and could be used as chemical standards for the quality evaluation of RB.

An investigation of the antidepressant action of xiaoyaosan in rats using ultra performance liquid chromatography-mass spectrometry combined with metabonomics.

A rapid, highly sensitive, and selective method was applied in a non‐invasive way to investigate the antidepressant action of Xiaoyaosan (XYS) using ultra performance liquid chromatography–mass spectrometry (UPLC‐MS) and chemometrics. Many significantly altered metabolites were used to explain the mechanism. Venlafaxine HCl and fluoxetine HCl were used as chemical positive control drugs with a relatively clear mechanism of action to evaluate the efficiency and to predict the mechanism of action of XYS. Urine obtained from rats subjected to chronic unpredictable mild stress (CUMS) was analyzed by UPLC‐MS. Distinct changes in the pattern of metabolites in the rat urine after CUMS production and drug intervention were observed using partial least squares–discriminant analysis. The results of behavioral tests and multivariate analysis showed that CUMS was successfully reproduced, and a moderate‐dose XYS produced significant therapeutic effects in the rodent model, equivalent to those of the positive control drugs, venlafaxine HCl and fluoxetine HCl. Metabolites with significant changes induced by CUMS were identified, and 17 biomarker candidates for stress and drug intervention were identified. The therapeutic effect of XYS on depression may involve regulation of the dysfunctions of energy metabolism, amino acid metabolism, and gut microflora changes. Metabonomic methods are valuable tools for measuring efficacy and mechanisms of action in the study of traditional Chinese medicines. Copyright

Selection and dynamic metabolic response of rat biomarkers by metabonomics and multivariate statistical analysis combined with GC-MS.

Depression is a common complex psychiatric disorder but its pathophysiological mechanism is not yet fully understood. Metabonomics by GC-MS and multivariate statistical analysis were used to select potential biomarkers associated with CUMS (chronic unpredictable mild stress) depression. The dynamic metabolic changes in rat serum were investigated to find potential disease biomarkers and to investigate the pathology of depression induced by the CUMS depression model. The changes in behavior and serum metabolic profiles were investigated during a three-week CUMS exposure. Serum samples were collected on days 0, 6, 9, 12, 15 and 21, and the serum metabolic profiling was carried out using GC-MS, followed by multivariate analysis. The potential biomarkers were screened from metabolites by principal component analysis and correlation analysis. The peak area of potential biomarkers was used to identify changes in depression in rats and describe their dynamics. Exposure to CUMS for three weeks caused depression-like behavior in rats, as indicated by significant decreases in weight gain, sucrose consumption, ambulation number and rearing numbers. Six potential biomarkers in serum, including glycine (Gly), glutamic acid (Glu), fructose, citric acid, glucose and hexadecanoic acid, were subjected to screening by metabonomics and multivariate statistical analysis. It was found that fructose, glucose and Gly were increased in the model group, while hexadecanoic acid, Glu and citric acid were reduced in the model group. According to the results of principal component analysis and correlation analysis, the correlation coefficient between the behavior scores and potential biomarkers in serum were all more than 0.9. This result suggests that the progression of depression may be associated with perturbation of glycometabolism, amino acid metabolism and energy metabolism. Gly, Glu, fructose, citric acid, glucose and hexadecanoic acid appear to be suitable quantitative diagnostic biomarkers for depression. The representative and unique nature of these biomarkers needs to be verified by pharmacological experiments, including molecular pharmacology investigations of enzymes or genes.

Neuroprotective and Cytotoxic Phthalides from Angelicae Sinensis Radix

Seven phthalides, including a new dimeric one named tokinolide C (7), were isolated from Angelicae Sinensis Radix and characterized. The structures of these compounds were elucidated on the basis of comprehensive analysis of spectroscopic data and comparison with literature data. All of the compounds were evaluated for their cytotoxic activities against the A549, HCT-8, and HepG2 cancer cell lines. Riligustilide (4) showed cytotoxicity against three cancer cell lines, with IC50 values of 13.82, 6.79, and 7.92 μM, respectively. Tokinolide A (6) and tokinolide C (6) exerted low cytotoxicity in these cancer cell lines, while the remaining compounds were inactive. Flow cytometry analysis was employed to evaluate the possible mechanism of cytotoxic action of riligustilide (4). We observed that compound 4 was able to arrest the cell cycle in the G1, S phases and induce apoptosis in a time-dependent manner in HCT-8 cell lines. In addition, these compounds were evaluated for neuroprotective effect against SH-SY5Y cells injured by glutamate. The result showed that ligustilide (1), Z-butylidenephthalide (3) and tokinolide A (6) exhibited significant neuroprotective effects.