Antioxidative glucosides from the fruits of Ligustrum lucidum.

The ethanol extract of the fruits of Ligustrum lucidum was shown to have inhibitory effects on the hemolysis of red blood cells induced by 2,2'-azo-bis-(2-amidinopropane) dihydrochloride. Bioassay-guided analysis led to the isolation of ten secoiridoid glucosides. Two of them were new, lucidumosides C and D. Their structures were elucidated by spectroscopic methods. The other eight compounds were identified as oleoside dimethyl ester, ligustroside, oleuropein, nuezhenide, isonuezhenide, neonuezhenide, lucidumoside A and lucidumoside B. Five compounds, oleoside dimethyl ester, oleuropein, neonuezhenide, lucidumoside B and lucidumoside C, exhibited strong antioxidant effect against hemolysis of red blood cells induced by free radicals.     

Six new secoiridoids from the dried fruits of Ligustrum lucidum

Six new secoiridoid constituents, named isoligustrosidic acid (1), 6'-O-trans-cinnamoyl 8-epikingisidic acid (2), 6'-O-cis-cinnamoyl 8-epikingisidic acid (3), oleopolynuzhenide A (4), nuzhenals A (5) and B (6) were isolated from the dried fruits of Ligustrum lucidum AIT. Their structures were established on the basis of spectral and chemical data.     

In vitro evaluation of secoiridoid glucosides from the fruits of Ligustrum lucidum as antiviral agents.

Six secoiridoid glucosides, lucidumoside C (1), oleoside dimethylester (2), neonuezhenide (3), oleuropein (4), ligustroside (5) and lucidumoside A (6), isolated from the fruits of Ligustrum lucidum (Oleaceae), were examined in vitro for their activities against four strains of pathogenic viruses, namely herpes simplex type I virus (HSV-1), influenza type A virus (Flu A), respiratory syncytial virus (RSV) and parainfluenza type 3 virus (Para 3). Antiviral activities were evaluated by the cytopathic effect (CPE) inhibitory assay. The purpose was to check if the antioxidative potency of these glucosides correlated with their antiviral potency. Results showed that none of the glucosides had any significant activity against HSV-1 and Flu A. Oleuropein, however, showed significant antiviral activities against RSV and Para 3 with IC50 value of 23.4 and 11.7 microg/ml, respectively. Lucidumoside C, oleoside dimethylester and ligustroside showed potent or moderate antiviral activities against Para 3 with IC50 values of 15.6-20.8 microg/ml. These results also documented that the anti-oxidative potency of these secoiriodoid glucosides was not directly related to their antiviral effects.     

Secoiridoid Constituents from the Fruits of Ligustrum lucidum

Four new secoiridiod glucosides, p‐hydroxyphenethyl 7‐β‐D ‐glucosideelenolic acid ester ( 1 ), 6′‐elenolylnicotiflorine ( 2 ), 6′′′‐acetylnicotiflorine ( 3 ), and oleoside 7‐ethyl 11‐methyl ester ( 4 ), as well as six known glucosides, nuezhenide ( 5 ), Gl‐3 ( 6 ), nicotiflorine ( 7 ), isonuezhenide ( 8 ), neonuezhenide ( 9 ), and oleoside 11‐methyl ester ( 10 ) were isolated from the fruits of Ligustrum lucidum. Their structures were elucidated by spectroscopic methods. Compound 4 was an artifact produced during extraction.     

Study on the spectrum‐effect relationship of the xanthine oxidase inhibitory activity of Ligustrum lucidum

To evaluate the xanthine oxidase inhibitory activity of the chemical constituents of Ligustrum lucidum in vitro, the spectrum‐effect relationship was investigated. The high‐performance liquid chromatography fingerprint was established by ultraviolet spectrophotometry, and the xanthine oxidase inhibitory activity was tested in vitro by a high‐throughput screening method. Cluster analysis, principal component analysis, gray correlation analysis, and partial least squares regression were used to explore the spectrum‐effect relationships. Sixty batches of Ligustrum lucidum were collected from 16 provinces for testing. The results revealed differences among the batches of medicinal materials, and the similarity score was between 0.635 and 0.968. Thirty‐three characteristic peaks (1–33) were calibrated by fingerprint evaluation software for traditional Chinese medicine. The spectrum‐effect relationship study further revealed that the contents of peaks 1, 2, 4, 5, 6, 7, 14, 17, 25, 28, 31, and 33, which are potentially critical ingredients for quality control of Ligustrum lucidum fruit, were highly correlated with the inhibition of xanthine oxidase activity.     

Targeted serum metabolite profiling of nucleosides in esophageal adenocarcinoma

Nucleosides are indicators of the whole‐body turnover of transfer RNA. Based on the activity of cancer cells these molecules could potentially be used as cancer biomarkers, and several studies have determined that the metabolic levels of nucleosides are significantly altered in cancer patients compared to control groups. Here we report a targeted metabolite investigation of serum nucleosides in esophageal adenocarcinoma specimens. We quantified eight nucleosides using high‐performance liquid chromatography/triple quadrupole mass spectrometry (HPLC/TQMS) and determined that the metabolic levels of 1‐methyladenosine (p <2.14 × 10^?7), N²,N²‐dimethylguanosine (p <2.78 × 10^?7), N²‐methylguanosine (p <2.48 × 10^?6) and cytidine (p <6.98 × 10^?4) were significantly elevated while the concentration of uridine (p <3.74 × 10^?3) was significantly lowered in serum samples from cancer patients compared to those of control group. Our results suggest that nucleosides could potentially serve as useful biomarkers to identify esophageal adenocarcinoma. Copyright © 2010 John Wiley & Sons, Ltd.     

Comprehensive metabolite profiling in distinct chemotypes of Commiphora wightii

Commiphora wightii (Arn.) Bhandari, known as guggul, produces a medicinally important gum resin which is used extensively by Ayurvedic physicians to treat various ailments. However, most of the studies on C. wightii have been limited to its gum resin. Comprehensive metabolic profiling of leaves, stem and gum resin samples was undertaken to analyse aqueous and non-aqueous metabolites from three distinct chemotypes (NBRI-101, NBRI-102 and NBRI-103) shortlisted from different agro-climatic zones. GC-MS, HPLC and NMR spectroscopy were used for comprehensive metabolomics. Multivariate analysis showed characteristic variation in quinic and citric acids, myo-inositol and glycine (aqueous metabolites) and 2,6-di-tert-butyl-phenol, trans-farnesol and guggulsterones (non-aqueous metabolites) amongst the three chemotypes. Quinic acid, citric acid and myo-ionositol were detected in substantial quantities from leaves and stem samples which provide opportunities for novel nutraceutical and pharmaceutical formulations. Quinic acid, from the leaves, was identified as a marker metabolite for early selection of high guggulsterones-yielding cultivars.     

Phenotypic taxonomy and metabolite profiling in microbial drug discovery

Microorganisms and in particular actinomycetes and microfungi are known to produce a vast number of bioactive secondary metabolites. For industrially important fungal genera such as Penicillium and Aspergillus the production of these compounds has been demonstrated to be very consistent at the species level. This means that direct metabolite profiling techniques such as direct injection mass spectrometry or NMR can easily be used for chemotyping/metabolomics of strains from both culture collections and natural samples using modern informatics tools. In this review we discuss chemotyping/metabolomics as part of intelligent screening and highlight how it can be used for identification and classification of filamentous fungi and for the discovery of novel compounds when used in combination with modern methods for dereplication. In our opinion such approaches will be important for future effective drug discovery strategies, especially for dereplication of culture collections in order to avoid redundancy in the selection of species. This will maximize the chemical diversity of the microbial natural product libraries that can be generated from fungal collections.     

Seasonal variations in the chemical composition of vine-grape leaf surface

Surface leaf metabolites of two seedlings of a Bulgarian winemaking cultivar Storgozia I(1) were analyzed in two seasons - summer (July) and autumn (October). The resistance towards some fungal pathogens of one of the plants was estimated as superior to the resistance of the other one. Significant seasonal variations in the chemical constituents of the two seedlings were observed. The main metabolites of the summer samples were sterols, terpenes, fatty acids and heterocyclic compounds. In autumn, sterol and fatty acid contents decreased, mono- and diterpenes and heterocyclic compounds disappeared and instead of them hydrocarbons and alcohols were detected. Some individual components - stearic acid, alpha-amyrin, lupeol and squalene - correlated with the estimated resistance and were therefore proposed as biomarkers for the fungal resistance in grape-vine leaves.     

Seasonal variations of radionuclide concentrations in pine needles

Seasonal variations of radionuclide concentration in pine needles (Pinus Thunbergii) were examined. The seasonal variations were classified roughly into two types, one represented by the periodical variation of¹³⁷Cs concentration and the other represented by a linear decrease of¹⁰³Ru concentration when plotted on a semi-log scale. Weathering half-lives for the latter type of nuclides were estimated and a fairly good consistency in the half-lives for different nuclides was observed irrelevant to their radioactive half-lives.     

D-optimal design of an untargeted HS-SPME-GC-TOF metabolite profiling method

In recent times we have seen the development of many "-omics" technologies. One of the youngest is undoubtedly metabolomics, which aims to define the whole chemical fingerprint unique to each specific organism. The development and optimisation of an untargeted high-throughput method capable of investigating the volatile fraction of a biological system represents a crucial step for the success of such holistic approaches, and specific optimisation criteria must be developed in connection with suitable experimental designs. In this paper experimental designs (D-optimal) were applied for the first time as an automatic optimisation tool to an untargeted HS-SPME-GC-TOF method. In this case, optimal conditions correspond to a maximal number of detected features, in order to provide a fingerprint that is as complete as possible. The system under study is the grape berry. Four variables were considered: the type of fibre, extraction time, equilibration time and temperature. The results show that the D-optimal design methodology provides an easily interpretable assessment of experimental settings. This and other specific properties of the D-optimal design, such as the possibility to explicitly exclude certain experimental conditions, make it an extremely suitable strategy for method optimisation in untargeted metabolomics.     

Target list building for volatile metabolite profiling of fruit

Fruit flavour is the combination of numerous biochemicals: sugars for sweetness, acids for sourness and volatile metabolites for aroma. The objective of this study was to establish a method to develop a target list of statistically relevant compounds for the characterization of melon from non-targeted data, while preserving the profile information. Five different varieties were sampled (sampling 12 biological replicates from 12 plants) using dynamic headspace extraction, then analysed by gas chromatography–mass spectrometry in full scan mode. Using Metalign and SIMCA-P software the raw data was spectrally aligned and then subjected to principal component analysis (PCA). The principal component analysis plot showed good separation of the five varieties based on their full scan GC–MS profile. Mass spectral data points responsible for the differences between varieties were highlighted by further statistical analysis. The mass spectra were then reconstructed and the corresponding chemicals identified using library search or reference standards were available to create a new target component list. To validate the new target list, the initial data set was re-processed using the targeted approach and the results subjected again to principal component analysis. The two representations showed excellent agreement on the separation of the five varieties. The new target list obtained from this study can be applied to differentiate and characterize the volatile profile of melon varieties using a list of statistically significant compounds.     

Interlaboratory comparison for quantitative primary metabolite profiling in Pichia pastoris

For the first time, an interlaboratory comparison was performed in the field of quantitative metabolite profiling in Pichia pastoris. The study was designed for the evaluation of different measurement platforms integrating different quantification strategies using internal standardization. Nineteen primary metabolites including amino acids and organic acids were selected for the study. Homogenous samples were obtained from chemostat fermentations after rapid sampling, quenching and filtration, and hot ethanol extraction. Laboratory 1 (BOKU) employed an in vivo-synthesized fully labeled U¹³C cell extracts of P. pastoris for immediate internal standardization upon cell extraction. Quantification was carried out using orthogonal reversed-phase (RP-LC) and hydrophilic interaction chromatography (HILIC) in combination with tandem mass spectrometry. Laboratory 2 (Biocrates) applied a metabolomics kit allowing fully automated, rapid derivatization, solid phase extraction and internal standardization in 96-well plates with immobilized isotopically enriched internal standards in combination with HILIC-MS-MS and RP-LC-MS-MS for organic acids and derivatized amino acids, respectively. In this study, the obtained intracellular concentrations ranged from 0.2 to 108 μmol?g^?1 cell dry weight. The total combined uncertainty was estimated including uncertainty contributions from the corresponding MS-based measurement and sample preparation for each metabolite. Evidently, the uncertainty contribution of sample preparation was lower for the values obtained by laboratory 1, implementing isotope dilution upon extraction. Total combined uncertainties (K?=?2) ranging from 21 to 48 % and from 30 to 57 % were assessed for the quantitative results obtained in laboratories 1 and 2, respectively. The major contribution arose from sample preparation, hence from repeatability precision of the extraction procedure. Finally, the laboratory intercomparison was successful as most of the investigated metabolites showed concentration levels agreeing within their total combined uncertainty, implying that accurate quantification was given. The application of isotope dilution upon extraction was an absolute prerequisite for the quantification of the redox-sensitive amino acid methionine, where no agreement between the two laboratories could be achieved.     

Seed metabolite profiling of Vicia species from China via GC-MS

In this study, we examined Vicia seeds using gas chromatography-mass spectrometry (GC-MS). The metabolic differences of seeds of twelve Vicia species were assessed. 184 metabolites were identified. Vicia species were classified via multivariate data analyses into four clusters. V. unijuga was most enriched in fatty acids and anthraquinones contents while highest levels of amino acids, alcohols and phenolic were in V. costata. Clustering analysis of biochemical profiles matched with the pervious phenotypic observation with all examined species from section Cracca grouped together under one sub-cluster, except for V. costata.     

Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry

Gas chromatography coupled to mass spectrometry (GC-MS) is one of the most frequently used tools for profiling primary metabolites. Instruments are mature enough to run large sequences of samples; novel advancements increase the breadth of compounds that can be analyzed, and improved algorithms and databases are employed to capture and utilize biologically relevant information. Around half the published reports on metabolite profiling by GC-MS focus on biological problems rather than on methodological advances. Applications span from comprehensive analysis of volatiles to assessment of metabolic fluxes for bioengineering. Method improvements emphasize extraction procedures, evaluations of quality control of GC-MS in comparison to other techniques and approaches to data processing. Two major challenges remain: rapid annotation of unknown peaks; and, integration of biological background knowledge aiding data interpretation.     

Chemical constituents from the fruits of <Emphasis Type="Italic">Ligustrum lucidum</Emphasis>

One new δ-valerolactone (1) and one new natural phenolic glycoside 2, together with four known compounds 3–6, were isolated from the fruits of Ligustrum lucidum. Their structures were elucidated on the basis of spectral data. The chemical transformation from 2 to 3 was observed. The immunomodulatory activities of the compounds were also evaluated.     

Chemical composition database establishment and metabolite profiling analysis of Yangyin qingfei decoction

The chemical fingerprinting and metabolite profile in a rat plasma sample after intragastric administration of Yangyin qingfei decoction (YYQFD, 14 g/kg) were investigated. First, YYQFD was analyzed by UPLC/Q‐TOF MS to establish the chemical composition database by comparing their retention behavior, accurate molecular mass and MS² data with those of references or known compounds in the literature. In this database, 100 chemical constituents with information on retention time, molecular mass, molecular formula, MS² data and compound name were identified, which can provide compound information for further metabolite profiling studies. Furthermore, 64 compounds including 37 prototypes and 27 metabolites were detected in the dosed rat plasma sample, and the metabolic pathways of YYQFD were hydrolyzation, hydroxylation, dehydrogenation, glucuronidation, glucosylation, sulfation and mixed modes. Among the five component herbs in the YYQFD, Glycyrrhizae Radix et Rhizome and Fritillariae Thunbergii bulbs were actively metabolized, contributing 16 and 7 metabolites, respectively. It is suggested that chemical characterization and metabolite profiling studies are valuable to elucidate the material basis of herbal preparations.