Laser Capture Microdissection-Liquid Vortex Capture Mass Spectrometry Metabolic Profiling of Single Onion Epidermis and Microalgae Cells.

Laser capture microdissection is a valuable technique in individually isolating single cells whether in tissue networks or deposited from a cell suspension. New developments have enabled coupling of laser capture microdissection with mass spectrometry via liquid vortex capture sampling probe. This enables online metabolic profiling of sectioned cells. Here, we describe the protocol used to deposit, isolate, and individually chemically characterize single Allium cepa and Chlamydomonas reinhardtii cells by laser capture microdissection-liquid vortex capture mass spectrometry.

Electroosmotic extraction coupled to mass spectrometry analysis of metabolites in live cells.

Quantitative mass spectrometry analysis of metabolites at a single-cell level is critical to understanding the cell functionality and heterogeneity. To preserve cell viability after extraction, the extracted volume needs to be precisely controlled at a subpicoliter-to-picoliter level. Recently, we developed a volume-controlled, and highly sensitive approach for live cell analysis at a single-cell level by integrating electroosmotic extraction and nano-electrospray ionization mass spectrometry (nanoESI MS) analysis. Herein, we use outer epidermal cells of Allium cepa as a model system to present the details of our workflow, including detailed descriptions of the experimental setup for live cell analysis, preparation of the extraction nanopipette, establishment of calibration curves, and extraction and quantification of glucose in an individual onion cell. The capability of this procedure for quantitative live cell analysis has been demonstrated by accurate quantification of glucose in Allium cepa. In principle, our approach is applicable to identification and quantification of metabolites in live mammalian cells.

Metabolomics and its application in the treatment of coronary heart disease with traditional Chinese medicine.

Traditional Chinese Medicine (TCM) is the treasure of Chinese Nation and gained the gradual acceptance of the international community. However, the methods and theories of TCM understanding of diseases are lack of appropriate modern scientific characterization systems. Moreover, traditional risk factors cannot promote to detection and prevent those patients with coronary artery disease (CAD) who have not developed acute myocardial infarction (MI) in time. To sum up, there is still no objective systematic evaluation system for the therapeutic mechanism of TCM in the prevention and cure of cardiovascular disease. Thus, new ideas and technologies are needed. The development of omics technology, especially metabolomics, can be used to predict the level of metabolites in vivo and diagnose the physiological state of the body in time to guide the corresponding intervention. In particular, metabolomics is also a very powerful tool to promote the modernization of TCM and the development of TCM in personalized medicine. This article summarized the application of metabolomics in the early diagnosis, the discovery of biomarkers and the treatment of TCM in CAD.

A metabolomic study based on accurate mass and isotopic fine structures by dual mode combined-FT-ICR-MS to explore the effects of Rhodiola crenulata extract on Alzheimer disease in rats.

A metabolomic strategy based on accurate mass and isotopic fine structures (IFSs) by dual mode combined-Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) was established to explore the effects of Rhodiola crenulata extract (RCE) on Alzheimer disease (AD) in rats. Experimental AD model was induced in rats by bilateral hippocampal injection of Aß1-42, and Morris water maze task (MWM) was used to evaluate the effects of RCE on AD. Subsequently, the metabolomic study was performed using HPLC-FT-ICR-MS, fraction collector and direct infusion (DI)-FT-ICR-MS to screen and identify the potential biomarkers. A total of 20 metabolites contributing to AD progress were identified, and 17 metabolites of them were restored to the control-like levels after RCE treatment (daily dose: 2.24 g/kg). The metabolic pathway analysis revealed that the disturbed pathways including tryptophan metabolism, sphingolipid metabolism and glycerophospholipid metabolism in AD model rats were regulated after high dose RCE application. It is the first time that the dual mode combined-FT-ICR-MS based metabolomic strategy was applied to biochemically profile the serum metabolic pathways of AD rats affected by RCE. These outcomes provide reliable evidence to illuminate the biochemical mechanisms of AD and facilitate investigation of the therapeutic benefits of RCE in AD treatment. Notably, it indicated that the developed method based on accurate mass and IFSs has sufficient performance for identification of biomarkers in metabolomic studies.

An integrative urinary metabolomic study of the therapeutic effect of Guizhi Fuling capsule on primary dysmenorrheal rats based 1H NMR and UPLC-MS.

Guizhi Fuling capsule (GFC) was an important traditional Chinese herbal medicine used for the treatment of primary dysmenorrheal (PD). The aim of this study was to evaluate the anti-dysmenorrheal effect of GFC on dysmenorrheal rats induced by oxytocin and to investigate its mechanism of action. An integrative urinary metabolomic study based on 1H NMR and UPLC-MS was used to investigate the therapeutic effect of GFC on PD rats. In addition, in order to obtain more potential biomarkers and to investigate the global urine metabolic profile associated with PD, we combined the characteristics of RP-UPLC-MS with HILIC-UPLC-MS on metabolomic platform to find non-polar and polar metabolites. Finally, a total of 36 potential biomarkers were identified as being primarily involved in the TCA cycle, gluconeogenesis, glycolysis, pentose phosphate pathway, lipid metabolism, energy metabolism, amino acid metabolism and intestinal flora metabolism, and PD could influence the balance of many of these metabolic pathways in vivo. Furthermore, these results also suggested that the GFC had therapeutic effects on PD rats via the regulation of multiple metabolic pathways. In conclusion, the variations in potential biomarkers revealed the therapeutic mechanism of GFC, and these potential biomarkers were both significant for early diagnosis and predicting PD.

Phenotyping analysis of the Japanese Kampo medicine maoto in healthy human subjects using wide-targeted plasma metabolomics.

Traditional herbal medicine (THM) consists of a vast number of compounds that exert pharmacological effects throughout the body. Comprehensive phenotyping analysis using omics is essential for understanding the nature of THM in detail. We previously reported that the Japanese Kampo medicine maoto ameliorated flu-like symptoms in a rat infection model and dynamically changed plasma metabolites as indicated by metabolome analysis. The aim of this study was to apply wide-targeted plasma metabolomics with quantitative analysis of maoto compounds in a human clinical trial to evaluate the effect of maoto on plasma metabolites. Four healthy human subjects were recruited. Plasma samples were collected before and 0.25, 0.5, 1, 2, 4 and 8 h after maoto treatment. Wide-targeted metabolomics and quantitative analysis of the main chemical constituents of maoto were then performed. Plasma metabolome analysis revealed that maoto administration decreased essential amino acids including branched-chain amino acids (BCAAs) and increased various kinds of ω-3 fatty acids including eicosapentaenoic acid and docosahexaenoic acid, consistent with previous studies in rats. Fifteen of the major compounds in maoto were identified in the systemic circulation. Finally, the correlation between endogenous metabolites and maoto compounds in plasma was analyzed and the results indicated that the decrease in plasma BCAAs might be caused by ephedrines present in maoto. The present study demonstrated that plasma metabolomic studies of endogenous and exogenous metabolites are useful for elucidating the mechanism of action of THM.

Metabolic profiling of copper-laden hepatolenticular degeneration model rats and the interventional effects of Gandou decoction using UPLC-Q-TOF/MS.

The direct cause of hepatolenticular degeneration (HLD) is copper metabolic disorder caused by autosomal recessive inheritance. Gandou decoction (GDD), a classical traditional Chinese medicine formula, exhibits unambiguous therapeutic effect on HLD in China for decades. However, the mechanism of effect on HLD is not clear. With this purpose, the effects of copper content and histopathology inspection on the HLD rat model were investigated. Then, metabolomics study based on ultra-performance liquid chromatography quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MSE) analysis and multivariate statistical analysis was adopted to further reveal the mechanism of action of GDD against HLD. The results showed that the characteristics of liver tissues after GDD treatment were significantly reversed, close to the control group, suggesting that GDD has a therapeutic effect on HLD. Furthermore, HLD interferes with 2 metabolites of the metabolic pathway in rats. Among them, up-regulation of Lactic acid, Tryptophan, Phenylalanine, Triacylglycerol and down-regulation of Linoleic acid, Alpha Linolenic acid, Phosphatidylcholine, Taurine is particularly significant. Analysis of metabolic pathways by a unique pathway analysis revealed significant changes in several pathways including lipid metabolism, amino metabolism and glucose metabolism in HLD. This study showed that GDD could provide satisfactory therapeutic effects on HLD and metabolomics study can be utilized to further understand the molecular mechanisms.

1H NMR-based dynamic metabolomics delineates the therapeutic effects of Baoyuan decoction on isoproterenol-induced cardiac hypertrophy.

Cardiac hypertrophy (CH) is a major risk factor for many serious heart diseases. Sustained CH is catastrophic, resulting in cardiac dysfunction that eventually leads to heart failure (HF). Baoyuan decoction (BYD) is a famous traditional Chinese medicine (TCM) formula for supplementing and reinforcing Qi, clinically used for the treatment of cardiovascular diseases (CVDs). However, the therapeutic effects of BYD on CH remain unidentified. We herein investigated the effect of BYD on isoproterenol (ISO)-induced CH in rats and the underlying mechanisms by comprehensive pharmacodynamics and 1H NMR-based dynamic metabolomics analysis of the plasma and urine samples. Results showed that BYD treatment markedly attenuated ISO-induced CH as evidenced by decreasing the left ventricular wall thickness, pathological cardiomyocyte hypertrophy, myocardial collagen fiber deposition and apoptosis, and plasma natriuretic peptide levels. Multivariate trajectory analysis revealed that the BYD treatment could restore the CH-disturbed plasma and urinary metabolite profiles towards the normal metabolic status featuring with a time-dependent tendency. Moreover, the key metabolic alterations in CH rats at different BYD-treated time stages involved energy metabolism, oxidative stress responses, amino acid metabolism, and gut microbiota metabolism. Of particularly, the significant roles of BYD for treating CH lie in the improvement of cardiac energy generation and antioxidant capacity. Our investigation provides a holistic view of BYD for therapeutic intervention of CH through monitoring of the dynamic metabolic changes and the results indicate that BYD may be applied as a potential agent for treating CH.

Nuclear magnetic resonance-based metabolomics approach to evaluate preventive and therapeutic effects of Gastrodia elata Blume on chronic atrophic gastritis.

Chronic atrophic gastritis (CAG) is one of the most common digestive system diseases worldwide which defined by WHO as initial step of cancer. Gastrodia elata Blume (GEB) is a traditional herbal with multiple pharmacological activities which was widely used in Asian countries. This study aims to explore the preventive and therapeutical effects of Gastrodia elata Blume on auto-immune induced CAG in rats. Tissues of stomachs were collected and submitted to 1H NMR-based metabolomics analysis and histopathological inspection. The biochemical indexes of MDA, SOD, GSH, NO and XOD were measured. Gastrodia elata Blume could apparently ameliorate the damaged gastric glands and the biochemical parameters, enhance gastric acid secretion, and significantly relieve the inflammation of the stomach. Orthogonal signal correction-partial least squares-discriminant analysis (OSC-PLS-DA) of NMR profiles and correlation network analysis revealed that Gastrodia elata Blume could effectively treat CAG via regulating energy and purine metabolisms, and by anti-oxidation and anti-inflammation effects.

Determining the Mode of Action of Antimalarial Drugs Using Time-Resolved LC-MS-Based Metabolite Profiling.

Methods for assessing the mode of action of new antimalarial compounds identified in high throughput phenotypic screens are needed to triage and facilitate lead compound development and to anticipate potential resistance mechanisms that might emerge. Here we describe a mass spectrometry-based approach for detecting metabolic changes in asexual erythrocytic stages of Plasmodium falciparum induced by antimalarial compounds. Time-resolved or concentration-resolved measurements are used to discriminate between putative targets of the compound and nonspecific and/or downstream secondary metabolic effects. These protocols can also be coupled with 13C-stable-isotope tracing experiments under nonequilibrative (or nonstationary) conditions to measure metabolic dynamics following drug exposure. Time-resolved 13C-labeling studies greatly increase confidence in target assignment and provide a more comprehensive understanding of the metabolic perturbations induced by small molecule inhibitors. The protocol provides details on the experimental design, Plasmodium falciparum culture, sample preparation, analytical approaches, and data analysis used in either targeted (pathway focused) or untargeted (all detected metabolites) analysis of drug-induced metabolic perturbations.

Metabolite profiling of traditional Chinese medicine formula Dan Zhi Tablet: An integrated strategy based on UPLC-QTOF/MS combined with multivariate statistical analysis.

Metabolites derived from traditional Chinese medicine (TCM) are becoming active substances of pharmacologically as well as promising sources for discovering new drugs. However, detection and identification of constituents in vivo remains a challenge for TCM, due to massive endogenous interference and low abundance of metabolites in biological matrix. Traditional Chinese medicine formula Dan Zhi Tablet (DZT), a well-established TCM formula developed based on years of clinical experiences, was widely used to treat cerebral infraction disease. In this study, an integrated strategy based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) was adopted to comprehensively identify the prototype and metabolite constituents of DZT. The potential constituents were screened by cross orthogonal partial least-squares discriminant analysis (OPLS-DA). Automatic matching analysis was performed on UNIFI platform based on the function of predicting metabolites. Using this strategy, a total of 170 compounds, including 51 prototype constituents and 119 metabolites were unambiguously or tentatively identified in rat plasma. Furthermore, 31 compounds have also been detected in rat cerebrospinal fluid. The metabolism reactions included phase I reactions (hydroxylation, hydrolysis, deglycosylation, hydrogenation, demethylation and dehydroxylation) and phase II reactions (conjugation with glutatione, cysteine, acetylcysteine, glucuronide, sulfate). It is the first systematic metabolic study of DZT in vivo and some metabolites were also reported for the first time, which could provide a scientific basis for explaining the multiple functions of DZT. More importantly, the integrated strategy also shows promising perspectives in the identification of the metabolites in TCM from a complicated biological matrix.

Seasonal Variations in the Metabolome and Bioactivity Profile of Fucus vesiculosus Extracted by an Optimised, Pressurised Liquid Extraction Protocol.

The metabolism of seaweeds depends on environmental parameters, the availability of nutrients, and biotic/abiotic stresses; therefore, their chemical composition fluctuates throughout the year. This study investigated seasonal variations in the metabolome of the Baltic Sea brown alga Fucus vesiculosus and its potential relation to the bioactivity profile. By using a definitive screening design (DSD) combined with pressurised liquid extraction (PLE), an optimised protocol was developed to extract algal biomass monthly for a full calendar year. An untargeted metabolomics approach using ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MSn)-based molecular networking and manual dereplication was employed. The extracts were simultaneously screened for their in vitro antimicrobial, anticancer/apoptotic, and free radical scavenging activities. 44 compounds were putatively dereplicated in the metabolome. Many compounds were found to vary with the sampling month; phlorotannin total ion count (TIC) was highest in summer, whilst chlorophylls, lipids, and carotenoids peaked in winter and spring. The greatest radical scavenging and apoptotic activities against pancreas cancer cells observed in the summer months were attributed to high phlorotannin TIC. Methicillin-resistant Staphylococcus aureus (MRSA) inhibitory activity was produced year-round without a clear seasonal trend. This is the first study applying DSD-based optimised PLE extraction combined with a metabolome analysis of F. vesiculosus for the identification of seasonal variations in both metabolome and bioactivity.

Plasma and urine metabolite profiling reveals the protective effect of Clinacanthus nutans in an ovalbumin-induced anaphylaxis model: 1H-NMR metabolomics approach.

The present study sought to identify the key biomarkers and pathways involved in the induction of allergic sensitization to ovalbumin and to elucidate the potential anti-anaphylaxis property of Clinacanthus nutans (Burm. f.) Lindau water leaf extract, a Southeast Asia herb in an in vivo ovalbumin-induced active systemic anaphylaxis model evaluated by 1H-NMR metabolomics. The results revealed that carbohydrate metabolism (glucose, myo-inositol, galactarate) and lipid metabolism (glycerol, choline, sn-glycero-3-phosphocholine) are the key requisites for the induction of anaphylaxis reaction. Sensitized rats treated with 2000 mg/kg bw C. nutans extract before ovalbumin challenge showed a positive correlation with the normal group and was negatively related to the induced group. Further 1H-NMR analysis in complement with Kyoto Encyclopedia of Genes and Genomes (KEGG) reveals the protective effect of C. nutans extract against ovalbumin-induced anaphylaxis through the down-regulation of lipid metabolism (choline, sn-glycero-3-phosphocholine), carbohydrate and signal transduction system (glucose, myo-inositol, galactarate) and up-regulation of citrate cycle intermediates (citrate, 2-oxoglutarate, succinate), propanoate metabolism (1,2-propanediol), amino acid metabolism (betaine, N,N-dimethylglycine, methylguanidine, valine) and nucleotide metabolism (malonate, allantoin). In summary, this study reports for the first time, C. nutans water extract is a potential anti-anaphylactic agent and 1H-NMR metabolomics is a great alternative analytical tool to explicate the mechanism of action of anaphylaxis.

Metabolome based classification of artichoke leaf: A prospect for phyto-equivalency of its different leaf origins and commercial preparations.

The growing interest in assuring phytomedicines efficacy and moreover the increase in requirements for its safety drive the development of analytical methods for its quality control assurance. Herein, we present a nuclear magnetic resonance (NMR) fingerprinting approach of artichoke leaf material from different origins and in its commercial preparations. Under optimized conditions, we were able to simultaneously identify 23 metabolites including sugars, amino and organic acids, sesquiterpene lactones, flavones, cinnamates, inulin, fatty acids and nitrogenous bases. Principal component analysis (PCA) was used to reveal for differences among artichoke specimens. PCA score plot derived from the aromatic region (5-10 ppm) provided better classification model than that of full scan (0-10 ppm), and revealing for enrichment of wild Egyptian and Tanzanian artichoke in sesquiterpene viz. aguerin B versus O-caffeoylquinic acid and luteolin abundance in cultivated leaf. PCA analysis of 3 commercial artichoke preparations showed discrimination of a silymarin-containing capsule suggesting that NMR can distinguish liver-aid herbal preparations based on its different chemical composition. Quantitative 1H NMR (qHNMR) was further employed to assess major metabolites levels and revealing for the enrichment of cultivated plants in cinnamates viz. (E)-cinnamaldehyde (1.1 mg/g) and O-caffeoyl quinic acid (15.09 mg/g,). To the best of our knowledge, this study provides the first approach utilizing NMR fingerprinting to assess for phytoequivalency among artichoke leaf and in its preparations.

Metabolomics coupled with system pharmacology reveal the protective effect of total flavonoids of Astragali Radix against adriamycin-induced rat nephropathy model.

Astragali Radix (AR) has been used in the traditional Chinese medicine (TCM) in the treatment of various renal diseases for many years. In this study, a NMR based metabolomic approach coupled with biochemical assay and histopathological inspection had been employed to study the protective effect of total flavonoids (TFA) in AR against adriamycin-induced nephropathy using rats model. Multivariate analysis revealed that 11 of perturbed metabolites could be reversed by TFA, and the MetaboAnalyst analysis revealed that the anti-nephrotic syndrome effect of TFA was probably related with regulation of alanine, aspartate and glutamate metabolism, citrate cycle, pyruvate metabolism, cysteine and methionine metabolism and glyoxylate and dicarboxylate metabolism. The regulatory effects on the gene expression (ACE, nephrin, podocin) suggested that the anti-nephrotic syndrome effect of TFA was also related with the protection of renal filtration function and regulation of blood pressure. The system pharmacology analysis revealed 43 potential targets for TFA, and suggested that the protective effect of TFA on the nephrotic syndrome was probably related with the regulation of immune and renin-angiotensin system. These metabolic changes and the associated pathways, as well as the compound-target-disease network provide insights into the mechanisms of TFA for the treatment of nephrotic syndrome, and further studies are needed to validate the bioactive compounds responsible for the anti-nephrotic syndrome effect of TFA.

Metabolomics and antioxidant activity of the leaves of Prunus dulcis Mill. (Italian cvs. Toritto and Avola).

Prunus dulcis leaves have been reported to exert some biological activity, in particular potent free radical-scavenging capacity, but so far there is limited information on their chemical composition. With the aim to achieve deep insight on the chemical constituents of the leaves of P. dulcis cultivars "Toritto" and "Avola", the most appreciated in Italy, an approach based on liquid chromatography-mass spectrometry (LC-MS) combined with isolation and structure elucidation of pure compounds by Nuclear Magnetic Resonance (NMR) analysis was carried out. Results allowed to detect in cv. Toritto leaves phenolics, terpenoids and a cyanogenic glycoside. Successively, various solvent systems were chosen to afford different extracts and an approach based on principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) from LC-MS data sets highlighted eco-friendly methods as selective in extracting phenolics and glycosides. Comparison of LC-MS profiles of the MeOH extracts of cv. Toritto and cvs. Avola (Pizzuta, Fascionello and Romana) leaves and evaluation of their phenolic contents and antioxidant activity were also carried out.

Chemical profiling in Moutan Cortex after sulfuring and desulfuring processes reveals further insights into the quality control of TCMs by nontargeted metabolomic analysis.

As a traditional processing method, sulfuring has been used in the processing of many traditional Chinese medicines (TCMs). Desulfuring, which has emerged in recent years, is a new method applied to sulfured herbs so they can comply with regulations regarding residual SO2. Due to the chemical transformations and the residual SO2 in the herbs, both sulfuring and desulfuring have negative effects on the safety and therapeutic effects of TCMs, and Moutan Cortex is one of the TCMs most susceptible to these effects. Here, a new strategy was developed to differentiate normal, sulfured and desulfured Moutan Cortex, and the transformations of compounds in sulfuring and desulfuring processes were analyzed using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MSE) method based on metabolomic analysis. Our findings were as follows: (1) a total of 119 compounds were identified or tentatively identified, including 9 compounds that are being reported for the first time as natural products; (2) 15 sulfocompounds were generated during the sulfuring process; (3) these sulfocompounds could not be converted back into their corresponding glycosides by the desulfuring process, and the desulfuring decreased the residual SO2,while also removing some soluble compounds in the sulfured Moutan Cortex; and (4) 28 compounds were screened and tentatively identified as markers for distinguishing normal, sulfured and desulfured Moutan Cortex. Our findings provide a new practical strategy for evaluating how sulfuring and desulfuring affect the quality of TCMs.

Metabolomics analysis of serum reveals the effect of Danggui Buxue Tang on fatigued mice induced by exhausting physical exercise.

Danggui Buxue Tang (DBT), believed to invigorate 'Qi' (vital energy) and nourish 'Blood' (body circulation), is a traditional Chinese medicine formula. In this study, a metabolomics approach with gas chromatography coupled to mass spectrometry combined with pattern recognition was adopted to investigate the underlying mechanism of the antifatigue effect of DBT on fatigue of mice induced by weight-loaded forced swimming. Fourteen endogenous metabolites, up-regulated or down-regulated, were identified in the model mice by analysis tools of partial least-squares discriminant analysis (PLS-DA) and XCMS online software. Furthermore, the metabolites were reversed by DBT treatment, offering evidence for the antifatigue effect. In addition, intervention of DBT changed the levels of biochemical parameters. DBT showed obvious efficacy on the fatigued mice possibly by regulating the pathways of phenylalanine, tyrosine and tryptophan metabolism, glycine, serine, and threonine metabolism, glyoxylate and dicarboxylate metabolism, pyruvate metabolism, and TCA cycle. This study demonstrated that DBT has a good antifatigue effect and that metabolomics is a powerful means to gain insights into the therapeutic effect of traditional Chinese medicine formulas.

Characterization of global metabolic profile of Rhodiola crenulata after oral administration in rat plasma, urine, bile and feces based on UHPLC-FT-ICR MS.

Rhodiola crenulata has been widely used as a health food, antifatigue and antidepressant in China and many other countries for centuries. However, to date the metabolism of it in vivo still remains unclear. In this study, UHPLC-FT-ICR MS was used to analyze the major components and their metabolites in rats after oral administration of Rhodiola crenulata for the first time. A total of 179 constituents, including 37 prototype compounds and 142 metabolites (89 phase I metabolites and 53 phase II metabolites) were tentatively identified. The metabolic pathways included hydroxylation, deglycosylation, dehydrogenation, glucuronidation and sulphate conjugation. In summary, this study showed an insight into the metabolism of Rhodiola crenulata in vivo, which may provide helpful chemical information for better understanding the multiple functions of it. And also, the developed method could be used as a reliable strategy to study the metabolic profile for other traditional chinese medicines.

Serum metabonomics study of the hepatoprotective effect of amarogentin on CCl4-induced liver fibrosis in mice by GC-TOF-MS analysis.

Amarogentin (AG) is a secoiridoid glycoside that is mainly extracted from the traditional Chinese medicine Swertia and Gentiana, which have been widely used in clinical practice to treat liver disease. However, the exact hepatoprotective mechanism of AG was still looking forward to further elucidation by far. In this study, C57BL/6 mice were divided into the following three groups: control, model and AG. Fibrosis was induced by CCl4. Mice were orally treated with 100mg/kg AG or with normal saline as a control. At the end of the experiment, the validity of the model and the hepatoprotective effects of AG were examined by histopathology and biochemical indicators. Metabonomics technology was further performed to systematically evaluate the endogenous metabolite profiles. Gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) technology with pattern recognition analysis, including principal component analysis (PCA) and orthogonal partial least square discriminant analysis (OPLS-DA), showed a clear separation of the model group and the control group, with the AG treatment group located much closer to the control group than the model group, which was consistent with the results of biochemical and histopathological assays. Moreover, nine potential biomarkers were identified to elucidate the drug mechanism of AG, which may be related to pathways of amino acid and fatty acid metabolism.