Astragalus membranaceus var. mongholicus and Hedysarum polybotrys belong to different genera, but have similar drug efficacy in traditional Chinese medicine theory, and H. polybotrys was used as the legal A. membranaceus var. mongholicus previously. In this study, similarities and differences between them were analyzed via their ITS/ITS2 fragments information. The ITS (internal transcribed spacer) regions were amplified using polymerase chain reaction and then sequenced in two-way. The alignment lengths of ITS regions were 616 bp, in which 508 loci were consistent, and 103 loci were different, accounting for 82.47% and 16.72% of the total ITS nucleotides in length, respectively. As genotype determines phenotype, 1HNMR-based metabolomic approach was further used to reveal the chemical similarities and differences between them. Thirty-four metabolites were identified in the 1H NMR spectra, and twenty-seven metabolites were the common components. Amino acids, carbohydrates and other primary metabolites were similar, while a large difference existed in the flavonoids and astragalosides. This study suggests that A. membranaceus var. mongholicus and H. polybotrys show similarities and differences from molecular and chemical perspectives, which has laid a foundation for elucidating the effective material basis of drug with similar efficacy and resources utilization.
Astragalus membranaceus ; chemistry ; genetics ; DNA, Plant ; genetics ; DNA, Ribosomal Spacer ; genetics ; Drugs, Chinese Herbal ; chemistry ; Fabaceae ; chemistry ; genetics ; Flavonoids ; chemistry ; Metabolome ; Metabolomics

Chemical constituents of Inula japonica were isolated and purified by repeated column chromatographies, over silica gel, and Toyopearl HW-40, and preparative HPLC. On the basis of spectral data analysis, including NMR and MS data, the structures of the isolates were elucidated and their anti-inflammatory activities were assayed. Fifteen compounds were isolated from the ethyl acetate extract of I. japonica, and their structures were elucidated as dihydrosyringenin (1), (3S, 5R, 6S, 7E)-5,6-epoxy-3-hydroxy-7-megastigmen-9-one (2), (6R, 7E) -9-hydroxy-4,7-megastigmadien-3-one (3), arnidiol (4), taraxasterol acetate (5), 8,9,10-trihydroxythymol (6), taxifolin (7), luteolin (8), napetin (9), eupatin (10), spinacetin (11), quercetin (12), p-hydroxycinnamic acid (13), caffeic acid (14), and caffeoyl acetate (15). Compounds 1, 2, 7, 13 and 15 were isolated from the genus Inula for the first time, and compounds 3, 4, 9-11 and 14 were isolated from this plant for the first time. The anti-inflammatory activity result showed that compounds 3, 6-12 and 14 exhibited inhibition effect against leukotriene C4 (LTC4) synthesis and degranulation definitely in c-Kit Ligand (KL) induced mast cells, and compound 8 and 12 also had the suppression effect against lipopolysacharide(LPS) induced nitric oxide (NO) activity in RAW264.7 macrophages. It is firstly reported that compounds 7 and 9-11 possessed potent inhibition activities against LTC4 generation and degranulation in mast cells.
Animals ; Anti-Inflammatory Agents ; chemistry ; pharmacology ; Cell Line ; Inula ; chemistry ; Macrophages ; drug effects ; Mast Cells ; drug effects ; Mice ; Mice, Inbred BALB C ; Plant Extracts ; chemistry ; pharmacology

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.
Antidepressive Agents ; pharmacology ; Benzoates ; Bridged-Ring Compounds ; Coumaric Acids ; Drug Evaluation, Preclinical ; Drugs, Chinese Herbal ; pharmacology ; Flavanones ; Glucosides ; Glycyrrhizic Acid ; Lactones ; Medicine, Chinese Traditional ; Monoterpenes ; Sesquiterpenes ; Software

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.
Administration, Oral ; Animals ; Disease Models, Animal ; Drugs, Chinese Herbal ; pharmacology ; Medicine, Chinese Traditional ; Metabolomics ; Proton Magnetic Resonance Spectroscopy ; Qi ; Rats ; Spleen

We have gone through decades using hormone replacement therapy (HRT). The first problem encountered was increased endometrial cancer and solved by addition of progesterone. Now we are facing cardiovascular complications and how could we solve in the use of HRT. Research in vitro with HUAR and HUVEC and clinically seemed to show that small physiological doses might be the solution in protection of CVD.
Aged ; Estrogen Replacement Therapy ; adverse effects ; methods ; Female ; Humans ; Middle Aged ; Postmenopause

Water soluble extract (WSE) is an important index for the quality evaluation of Astragali Radix (AR). In this study, the WSE of the wild AR from Shanxi province (SX) and the cultivated AR from Gansu Province (GS) were compared. The WSEs of two types of AR were determined according to the appendix of Chinese pharmacopoeia. Then the WSEs were subjected to NMR analysis, and the obtained data were analyzed using HCA, PCA, OPLS-DA, microarray analysis, and Spearman rank analysis. In addition, the Pearson correlation of differential metabolites were also calculated. The results showed that the WSE content of GS-AR (37.80%) was higher than that of SX-AR (32.13%). The main constituent of WSE was sucrose, and other 18 compounds, including amino acids, organic acids, were also detected. Multivariate analysis revealed that SX-AR contained more choline, succinic acid, citric acid, glutamate, taurine and aspartate, while GS samples contained more sucrose, arginine and fumaric acid. In addition, the Pearson correlations between different metabolites of the two types of AR also showed apparent differences. The results suggested that the WSE of two types of AR differs not only in the content, but also in the chemical compositions. Thus, the cultivation way is important to the quality of AR. This study supplied a new method for the comparison of extract of herbal drugs.
Arginine ; analysis ; Aspartic Acid ; analysis ; Choline ; analysis ; Citric Acid ; analysis ; Drugs, Chinese Herbal ; analysis ; chemistry ; Fumarates ; analysis ; Glutamic Acid ; analysis ; Magnetic Resonance Spectroscopy ; Multivariate Analysis ; Phylogeography ; Plant Roots ; chemistry ; Plants, Medicinal ; chemistry ; Succinic Acid ; analysis ; Sucrose ; analysis ; Taurine ; analysis

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.
Alanine ; metabolism ; Animals ; Antidepressive Agents ; isolation & purification ; pharmacology ; Aspartic Acid ; analogs & derivatives ; metabolism ; Behavior, Animal ; drug effects ; Chronic Disease ; Depression ; drug therapy ; metabolism ; physiopathology ; Gardenia ; chemistry ; Glutamic Acid ; metabolism ; Glycine ; metabolism ; Hippocampus ; drug effects ; metabolism ; Inositol ; metabolism ; Iridoids ; isolation & purification ; pharmacology ; Lactic Acid ; metabolism ; Magnetic Resonance Spectroscopy ; Male ; Metabolomics ; Plants, Medicinal ; chemistry ; Rats ; Rats, Sprague-Dawley

To determine the optimum conditions of supercritical CO2 extraction of Xiaoyaosan, and establish its fingerprint by gas chromatography-mass spectrometry (GC-MS), the yield of extract were investigated, an orthogonal test was used to quantify the effects of extraction temperature, pressure, CO2 flow rate and time, and fingerprint analysis of different batches of extracts were by GC-MS. The optimal extraction conditions were determined as follows: extraction pressure 20 MPa, extraction temperature 50 degrees C, CO2 flow rate 25 kg x h(-1), extraction time 3 h, and average yield 2.2%. The GC-MS fingerprint was established and 27 common peaks were found, whose contents add up to 81.89% of the total peak area. Among them, 21 compounds were identified, accounting for 53.20% of the total extract. The extraction process is reasonable and favorable for industrial production. The GC-MS method is accurate, reliable, reproducible, and can be used for quality control of supercritical CO2 extract from Xiaoyaosan.
Carbon Dioxide ; chemistry ; Chromatography, Supercritical Fluid ; methods ; Drugs, Chinese Herbal ; chemistry ; isolation & purification ; Gas Chromatography-Mass Spectrometry ; methods

Animals ; Astrocytes ; immunology ; metabolism ; Male ; Microglia ; immunology ; metabolism ; Neurons ; metabolism ; Oxidopamine ; metabolism ; Parkinson Disease ; immunology ; Rats ; Rats, Sprague-Dawley

Drug Design ; Genomics ; methods ; Oligonucleotide Array Sequence Analysis ; Protein Array Analysis ; Proteomics ; Technology, Pharmaceutical