A Correlation between Antioxidant Activity and Metabolite Release during the Blanching of Chrysanthemum coronarium L.

Liquid chromatography tandem mass spectrometry (LCMS/MS)-based metabolite profiling was applied to elucidate the correlation between metabolite release and antioxidant activity during water blanching of Chrysanthemum coronarium L. (CC). Some major metabolites showing differences between fresh CC and blanched CC (BCC) were selected by principal component analysis (PCA) and partial least-square discriminate analysis (PLS-DA) loading plots, and were identified as dicaffeoylquinic acid (DCQA), succinoyl-DCQA, and acetylmycosinol. By PLS regression analysis of the correlation between antioxidant components and effects, candidate antioxidative metabolites were predicted due to strong positive correlations with DCQA and succinoyl-DCQA, and by a relatively weak positive correlation with acetylmycosinol.     

Correlation between antioxidative activities and metabolite changes during Cheonggukjang fermentation

Liquid chromatography mass spectrometry and multivariate analysis were employed to investigate the correlation between fermentation time-dependent metabolite changes in cheonggukjang, a traditional fermented soybean product, and changes in its antioxidant activity over 72 h. The metabolite patterns were clearly distinguished not by strains but by fermentation time, into patterns I (0-12 h), II (12-24 h), and III (24-72 h), which appeared as distinct clusters on principal component analysis. The compounds that significantly contributed to patterns I, II, and III were soyasaponins, isoflavonoid derivatives, and isoflavonoid aglycons respectively. Partial least square analysis for metabolite to antioxidant effects showed correlations between the ferric reducing/antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay during 24-36 h, and 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) test and total phenol content (TPC) during 36-72 h. Compared with the strong negative correlations of glucosylated-isoflavonoids with DPPH, ABTS and TPC during fermentation, the isoflavonoid aglycon displayed strong positive correlations with these compounds during fermentation.     

冠突曲霉 veA基因缺失型与野生型的差异代谢物研究

为了鉴定冠突曲霉 veA基因缺失型与野生型的差异代谢物,寻找与 veA 基因产孢相关的代谢物,采用气相色谱-质谱联用（GC-MS）的代谢组学技术,分别收集2个菌株培养48h的菌丝体,经液氮研磨、超声萃取、三甲基氯硅烷衍生化后上机检测,将GC-MS检测的数据进行前处理和代谢物注释,并用统计学相关软件进行差异物筛选和相关性分析。结果显示,共鉴定99种代谢物,其中差异代谢物41种,野生型菌株中表达上调的显著差异代谢物有20种, veA缺失型菌株中表达上调的显著差异代谢物有21种,并预测差异代谢物的相关性,发现与623种代谢物产生相关性,其中313种呈正相关,310种呈负相关。筛选出来的差异代谢物涉及有机酸、氨基酸、碳水化合物、醇类、脂肪酸类等多种代谢物质,其中有机酸和氨基酸类代谢物占主导地位。本研究结果为进一步研究冠突曲霉代谢物与产孢的关联提供了一定的理论基础。     

Metabolite profiling of Neptunia oleracea and correlation with antioxidant and α-glucosidase inhibitory activities using 1H NMR-based metabolomics

Neptunia oleracea is a plant consumed as vegetable and used as a traditional herb to treat several ailments. This study evaluated metabolite variations among N. oleracea leaf and stem subjected to air drying (AD), freeze drying (FD) and oven drying (OD) using proton nuclear magnetic resonance (¹H NMR) based metabolomics. The correlation was also studied for the metabolite content with total phenolic content (TPC), DPPH free radical scavenging and α-glucosidase inhibitory activities. A total of 18 metabolites were identified from N. oleracea extracts, including 10 primary metabolites, 5 flavonoids and 3 phenolic acids using NMR. Ultra-high performance liquid chromatography tandem mass spectrometry analysis (UHPLC-MS/MS) confirmed the presence of the secondary metabolites and revealed the flavonoid derivatives present. All the identified phenolics are first reported from this plant. Multivariate data analysis (MVDA) showed strong correlation between the metabolites with the antioxidant and α-glucosidase inhibitory activities of FD N. oleracea leaves. The compounds suggested to be responsible for the high activity of FD leaves include vitexin-2-O-rhamnoside, catechin, caffeic acid, gallic acid and derivatives of quercetin, kaempferol and myricetin. This study demonstrates that FD N. oleracea leaves are a potential natural source for antioxidant and α-glucosidase inhibitors.     

Correlation between Antioxidative Activities and Metabolite Changes during Cheonggukjang Fermentation

Liquid chromatography mass spectrometry and multivariate analysis were employed to investigate the correlation between fermentation time-dependent metabolite changes in cheonggukjang, a traditional fermented soybean product, and changes in its antioxidant activity over 72 h. The metabolite patterns were clearly distinguished not by strains but by fermentation time, into patterns I (0–12 h), II (12–24 h), and III (24–72 h), which appeared as distinct clusters on principal component analysis. The compounds that significantly contributed to patterns I, II, and III were soyasaponins, isoflavonoid derivatives, and isoflavonoid aglycons respectively. Partial least square analysis for metabolite to antioxidant effects showed correlations between the ferric reducing/antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay during 24–36 h, and 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) test and total phenol content (TPC) during 36–72 h. Compared with the strong negative correlations of glucosylated-isoflavonoids with DPPH, ABTS and TPC during fermentation, the isoflavonoid aglycon displayed strong positive correlations with these compounds during fermentation.     

A potential antioxidant resource: Endophytic fungi from medicinal plants

Medicinal plants and their endophytes are important resources for discovery of natural products. Several previous studies have found a positive correlation between total antioxidant capacity (TAC) and total phenolic content (TPC) of many medicinal plant extracts. However, no information is available on whether such a relationship also exists in their endophytic fungal metabolites. We investigated the relationship between TAC and TPC for 292 morphologically distinct endophytic fungi isolated from 29 traditional Chinese medicinal plants. The antioxidant capacities of the endophytic fungal cultures were significantly correlated with their total phenolic contents, suggesting that phenolics were also the major antioxidant constituents of the endophytes. Some of the endophytes were found to produce metabolites possessing strong antioxidant activities. Several bioactive constituents from the fungal cultures and host plant extracts were identified. This investigation reveals that the metabolites produced by a wide diversity of endophytic fungi in culture can be a potential source of novel natural antioxidants.     

Urinary metabolites and health effects in workers exposed chronically to chloronitrobenzene

For workers exposed to 4-chloronitrobenzene (4CNB), the major metabolites were determined. Urine were analysed before and after acid hydrolysis to qualify the free and conjugated metabolites of 4CNB. Three conjugated metabolites were identified in exposed workers: the mercapturic acid N-acetyl-S-(4-nitrophenyl)-L-cysteine (NANPC) was the only metabolite detected in non-hydrolysed urine, and accounted for approximately 51% of the total metabolites detected. The two remaining metabolites 4-chloroaniline (4CA) and 2-chloro-5-nitrophenol (CNP) were identified as cleavage products in hydrolysed urine, and accounted for approximately 18 and 30% of the total metabolites detected, respectively. No metabolites were found in factory controls within the limits of quantitation (LOQ) of the assay. There is a moderate correlation between NANPC and both 4CA and CNP. The correlation between 4CA and CNP is minor. The correlation between the total metabolites and both 4CA and CNP are good. The best correlation was found between the total metabolites and NANPC. There is a moderate inverse correlation between age and the creatinine levels. The raw metabolite levels CNP and NANPC decrease with age. 4CA, NANPC and the total metabolite levels correlate with the haemoglobin adduct levels . The urine metabolites increase and correlate significantly with the creatinine levels. NANPC is the most appropriate biomarker in the urine for a recent absorbed dose of 4CNB, since NANPC reflects the levels of 4CA and CNP and is the most prevalent metabolite detected in all the exposed workers.     

Sauvignon blanc metabolomics: grape juice metabolites affecting the development of varietal thiols and other aroma compounds in wines

The pathway for the biogenesis of varietal thiols, such as 3-mercaptohexanol (3MH), 3-mercaptohexyl acetate (3MHA) and 4-mercapto-4-methylpentan-2-one (4MMP) in Sauvignon blanc (SB) wines is still an open question. Varietal thiol development requires yeast activity, but poor correlation has been found between thiols and their putative respective precursors. This research is the first application of metabolomics to unravel metabolites in the grape juice that affect the production of varietal thiols in wines. Comprehensive metabolite profiling of 63 commercially harvested SB juices were performed by combining gas chromatography–mass spectrometry and nuclear magnetic resonance spectroscopy. These juices were fermented under controlled laboratory conditions using a commercial yeast strain (EC1118) at 15 °C. Correlation of thiol concentration in the wines with initial metabolite profiles identified 24 metabolites that showed positive correlation (R > 0.3) with both 3MH and 3MHA, while only glutamine had positive correlation with 4MMP. Subsequently, we carried out juice manipulation experiments by adding subsets of these 24 metabolites in a 2011 SB grape juice in order to validate the hypotheses generated by metabolomics. The juice manipulation results confirmed metabolomics hypotheses and revealed grape juice metabolites that significantly impact on the development of three major varietal thiols and other aroma compounds of SB wines.     

Metabolite fingerprinting,pathway analyses,and bioactivity correlations for plant species belonging to the Cornaceae,Fabaceae, and Rosaceae families

Key message

A multi-parallel approach gauging the mass spectrometry-based metabolite fingerprinting coupled with bioactivity and pathway evaluations could serve as an efficacious tool for inferring plant taxonomic orders.

Abstract

Thirty-four species from three plant families, namely Cornaceae (7), Fabaceae (9), and Rosaceae (18) were subjected to metabolite profiling using gas chromatography–time-of-flight-mass spectrometry (GC–TOF-MS) and ultrahigh performance liquid chromatography–linear trap quadrupole-ion trap-mass spectrometry (UHPLC–LTQ-IT-MS/MS), followed by multivariate analyses to determine the metabolites characteristic of these families. The partial least squares discriminant analysis (PLS-DA) revealed the distinct clustering pattern of metabolites for each family. The pathway analysis further highlighted the relatively higher proportions of flavonols and ellagitannins in the Cornaceae family than in the other two families. Higher levels of phenolic acids and flavan-3-ols were observed among species from the Rosaceae family, while amino acids, flavones, and isoflavones were more abundant among the Fabaceae family members. The antioxidant activities of plant extracts were measured using ABTS, DPPH, and FRAP assays, and indicated that extracts from the Rosaceae family had the highest activity, followed by those from Cornaceae and Fabaceae. The correlation map analysis positively links the proportional concentration of metabolites with their relative antioxidant activities, particularly in Cornaceae and Rosaceae. This work highlights the pre-eminence of the multi-parallel approach involving metabolite profiling and bioactivity evaluations coupled with metabolic pathways as an efficient methodology for the evaluation of plant phylogenies.

     

桑黄菌丝体和子实体中次级代谢产物及其活性的比较

研究桑黄发酵菌丝体次级代谢产物及活性与子实体的差异性,探讨其替代子实体的可能性。研究通过高效液相色谱分析和化学法比较菌丝体和子实体石油醚、氯仿、乙酸乙酯和正丁醇4个萃取相中的成分差异,以二苯基三硝基苯肼自由基（DPPH）清除率和Trolox当量抗氧化能力（TEAC）作为抗氧化活性的指标、HepG2和MCF-7癌细胞的抑制率作为抑制肿瘤细胞生长的指标,比较其活性差异。结果表明,菌丝体和子实体4个萃取相在化学成分上存在差异;在活性方面,菌丝体各萃取相的抗氧化活性高于子实体,而子实体抗肿瘤活性优于菌丝体。菌丝体醇提取的总黄酮含量高于子实体醇提物,抗氧化活性和总黄酮含量有显著相关性,发酵菌丝体在抗氧化活性方面具有替代子实体的可行性。     

Metabolomic Method: UPLC-q-ToF Polar and Non-Polar Metabolites in the Healthy Rat Cerebellum Using an In-Vial Dual Extraction

Unbiased metabolomic analysis of biological samples is a powerful and increasingly commonly utilised tool, especially for the analysis of bio-fluids to identify candidate biomarkers. To date however only a small number of metabolomic studies have been applied to studying the metabolite composition of tissue samples, this is due, in part to a number of technical challenges including scarcity of material and difficulty in extracting metabolites. The aim of this study was to develop a method for maximising the biological information obtained from small tissue samples by optimising sample preparation, LC-MS analysis and metabolite identification. Here we describe an in-vial dual extraction (IVDE) method, with reversed phase and hydrophilic liquid interaction chromatography (HILIC) which reproducibly measured over 4,000 metabolite features from as little as 3mg of brain tissue. The aqueous phase was analysed in positive and negative modes following HILIC separation in which 2,838 metabolite features were consistently measured including amino acids, sugars and purine bases. The non-aqueous phase was also analysed in positive and negative modes following reversed phase separation gradients respectively from which 1,183 metabolite features were consistently measured representing metabolites such as phosphatidylcholines, sphingolipids and triacylglycerides. The described metabolomics method includes a database for 200 metabolites, retention time, mass and relative intensity, and presents the basal metabolite composition for brain tissue in the healthy rat cerebellum.     

Metabolic diversity in tuber tissues of native Chiloé potatoes and commercial cultivars of <Emphasis Type="Italic">Solanum tuberosum</Emphasis> ssp. <Emphasis Type="Italic">tuberosum</Emphasis> L.

Introduction

The native potatoes (Solanum tuberosum ssp. tuberosum L.) cultivated on Chiloé Island in southern Chile have great variability in terms of tuber shape, size, color and flavor. These traits have been preserved throughout generations due to the geographical position of Chiloé, as well as the different uses given by local farmers.

Objectives

The present study aimed to investigate the diversity of metabolites in skin and pulp tissues of eleven native accessions of potatoes from Chile, and evaluate the metabolite associations between tuber tissues.

Methods

For a deeper characterization of these accessions, we performed a comprehensive metabolic study in skin and pulp tissues of tubers, 3 months after harvesting. Specific targeted quantification of metabolites using 96 well microplates, and high-performance liquid chromatography combined with non-targeted metabolite profiling by gas chromatography time-of-flight mass spectrometry were used in this study.

Results

We observed differential levels of antioxidant activity and phenolic compounds between skin and pulp compared to a common commercial cultivar (Desireé). In addition, we uncovered considerable metabolite variability between different tuber tissues and between native potatoes. Network correlation analysis revealed different metabolite associations among tuber tissues that indicate distinct associations between primary metabolite and anthocyanin levels, and antioxidant activity in skin and pulp tissues. Moreover, multivariate analysis lead to the grouping of native and commercial cultivars based on metabolites from both skin and pulp tissues.

Conclusions

As well as providing important information to potato producers and breeding programs on the levels of health relevant phytochemicals and other abundant metabolites such as starch, proteins and amino acids, this study highlights the associations of different metabolites in tuber skins and pulp, indicating the need for distinct strategies for metabolic engineering in these tissues. Furthermore, this study shows that native Chilean potato accessions have great potential as a natural source of phytochemicals.

     

The light-hyperresponsive high pigment-2dg mutation of tomato: alterations in the fruit metabolome

Overall metabolic modifications between fruit of light-hyperresponsive high-pigment (hp) tomato (Lycopersicon esculentum) mutant plants and isogenic nonmutant (wt) control plants were compared. Targeted metabolite analyses, as well as large-scale nontargeted mass spectrometry (MS)-based metabolite profiling, were used to phenotype the differences in fruit metabolite composition. Targeted high-performance liquid chromatography with photodiode array detection (HPLC-PDA) metabolite analyses showed higher levels of isoprenoids and phenolic compounds in hp-2dg fruit. Nontargeted GC-MS profiling of red fruits produced 25 volatile compounds that showed a 1.5-fold difference between the genotypes. Analyses of red fruits using HPLC coupled to high-resolution quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) in both ESI-positive and ESI-negative mode generated, respectively, 6168 and 5401 mass signals, of which 142 and 303 showed a twofold difference between the genotypes. hp-2dg fruits are characterized by overproduction of many metabolites, several of which are known for their antioxidant or photoprotective activities. These metabolites may now be more closely implicated as resources recruited by plants to respond to and manage light stress. The similarity in metabolic alterations in fruits of hp-1 and hp-2 mutant plants helps us to understand how hp mutations affect cellular processes.     

Cytotoxicity of fungal metabolites to lepidopteran (Spodoptera frugiperda) cell line (SF-9)

The toxicity of sixteen fungal metabolites produced by some entomopathogenic fungi or biological control fungi agents was evaluated on lepidopteran Spodoptera frugiperda (SF-9) cell line by Trypan blue dye exclusion and MTT-colorimetric assay, after 48 h of incubation. No statistical difference was found between IC50values (50% Inhibiting Concentration) and CC50 values (50% Cytotoxicity Concentration) obtained by MTT test and Trypan blue dye exclusion for each fungal metabolite. By MTT assay, the cytotoxicity ranking was fusarenon X (IC50 0.3 microM) = diacetoxyscirpenol (IC50 0.5 microM) = beauvericin (IC50 2.5 microM) = nivalenol (IC50 5.3 microM) = enniatin (IC50 6.6 microM) > or = gliotoxin (IC50 7.5 microM) > zearalenone (IC50 17.5 microM) > deoxynivalenol (IC50 47.6 microM). By Trypan blue dye exclusion the cytotoxicity ranking was fusarenon X (CC50 0.4 microM) = diacetoxyscirpenol (CC50 1.1 microM) beauvericin = (CC50 3.0 microM)=gliotoxin (CC50 4.0 microM) = enniatin (CC50 6.7 microM) > or = nivalenol (CC50 9.5 microM) > zearalenone (CC50 18.3 microM) > deoxynivalenol (CC50 45.0 microM). The comparison with other bioassays showed that the SF-9 insect cell line could represent a further tool to screen for the toxic effects of fungal metabolites especially for beauvericin, gliotoxin, and zearalenone.     

Phenolic constituents and genetic profile of Hypericum perforatum L. from India

The content of hypericins (hypericin and pseudohypericin), hyperforin, and flavonoids (rutin, hyperoside, quercitrin, and quercetin) and genetic profiles of eight accessions of Hypericum perforatum L., collected from different locations in India, have been determined. The secondary metabolite content was determined using a highly selective LC/MS/MS method. Pearson and Spearman's correlation coefficient were used to investigate the relationships between the secondary metabolites and a significant positive correlation was found between hypericin and pseudohypericin contents. Genetic profiling was undertaken using the random amplification of polymorphic DNA (RAPD) and single sequence repeat (SSR) methods. Among the 49 random primers used for the initial screening, only nine yielded polymorphic RAPD profiles. The SSR analysis shows that seven out of the 11 primers were polymorphic. There exists only a partial correlation between the chemical content and genetic profiling data among the accessions under study.     

Metabolite profiling of potato (Solanum tuberosum L.) tubers during wound-induced suberization

Suberin is a specific cell wall-associated biopolymer characterized by the deposition of both a poly(phenolic) domain (SPPD) associated with the cell wall, and a poly(aliphatic) domain (SPAD) thought to be deposited between the cell wall and plasma membrane. In planta, suberin functions to prevent plants from desiccation and pathogen attack. Although the chemical identity of the monomeric components of the SPPD and SPAD are well known, their concerted biosynthesis and assembly into the suberin macromolecule is poorly understood. To expand our knowledge of suberin biosynthesis, a GC/MS-based metabolite profiling study was conducted, using wound healing potato (Solanum tuberosum L.) tubers as a model system. A time series of both non-polar and polar metabolite profiles were created, yielding a broad-based, dynamic picture of wound-induced metabolism, including suberization. Principal component analysis revealed a separation of metabolite profiles according to different suberization stages, with clear temporal differences emerging in the non-polar and polar profiles. In the non-polar profiles, suberin-associated aliphatics contributed the most to cluster formation, while a broader range of metabolites (including organic acids, sugars, amino acids and phenylpropanoids) influenced cluster formation amongst polar profiles. Pair-wise correlation analysis revealed strong correlations between known suberin-associated compounds, as well as between suberin-associated compounds and several un-identified metabolites in the profiles. These data may help to identify additional, as yet unknown metabolites associated with suberization process.     

Effect of natural amino alcohols on the yield of essential amino acids and the amino acid pattern in stressed barley

Summary By application with 2-aminoethanol (2-AE) and choline chloride (CC) in pot experiments the effect of drought stress on barley plants was diminished. In treated plants an increase of the grain yield by 14% (2-AE) and 40% (CC) and a decrease of the stress metabolites glycine betaine and trigonelline was observed. Additionally, treated barley plants showed higher yields of essential amino acids as well. The contents of proline (stress indicator) and arginine (precursor of the stress metabolite putrescine) of treated plants were by 12% and 22% respectively, lower than in untreated plants.     

Metabolite profiling of Douglas-fir (Pseudotsuga menziesii) field trials reveals strong environmental and weak genetic variation

The primary objective of this study was to assess metabolomics for its capacity to discern biological variation among 10 full-sib families of a Douglas-fir tree breeding population, replicated on two sites. The differential accumulation of small metabolites in developing xylem was examined through metabolite profiles (139 metabolites common to 181 individual trees) generated by gas chromatography mass spectrometry and a series of statistical analyses that incorporated family, site, and tree growth and quantitative phenotypic wood traits (wood density, microfibril angle, wood chemistry and fiber morphology). Multivariate discriminant, canonical discriminant and factor analyses and broad-sense heritabilities revealed that metabolic and phenotypic traits alike were strongly related to site, while similar associations relating to genetic (family) structure were weak in comparison. Canonical correlation analysis subsequently identified correlations between specific phenotypic traits (i.e. tree growth, fibre morphology and wood chemistry) and metabolic traits (i.e. carbohydrate and lignin biosynthetic metabolites), demonstrating a coherent relationship between genetics, metabolism, environmental and phenotypic expression in wood-forming tissue. The association between cambial metabolites and tree phenotype, as revealed by metabolite profiling, demonstrates the value of metabolomics for systems biology approaches to understanding tree growth and secondary cell wall biosynthesis in plants.     

Exploratory Metabolomic Analyses Reveal Compounds Correlated with Lutein Concentration in Frontal Cortex,Hippocampus, and Occipital Cortex of Human Infant Brain

Lutein is a dietary carotenoid well known for its role as an antioxidant in the macula, and recent reports implicate a role for lutein in cognitive function. Lutein is the dominant carotenoid in both pediatric and geriatric brain tissue. In addition, cognitive function in older adults correlated with macular and postmortem brain lutein concentrations. Furthermore, lutein was found to preferentially accumulate in the infant brain in comparison to other carotenoids that are predominant in diet. While lutein is consistently related to cognitive function, the mechanisms by which lutein may influence cognition are not clear. In an effort to identify potential mechanisms through which lutein might influence neurodevelopment, an exploratory study relating metabolite signatures and lutein was completed. Post-mortem metabolomic analyses were performed on human infant brain tissues in three regions important for learning and memory: the frontal cortex, hippocampus, and occipital cortex. Metabolomic profiles were compared to lutein concentration, and correlations were identified and reported here. A total of 1276 correlations were carried out across all brain regions. Of 427 metabolites analyzed, 257 were metabolites of known identity. Unidentified metabolite correlations (510) were excluded. In addition, moderate correlations with xenobiotic relationships (2) or those driven by single outliers (3) were excluded from further study. Lutein concentrations correlated with lipid pathway metabolites, energy pathway metabolites, brain osmolytes, amino acid neurotransmitters, and the antioxidant homocarnosine. These correlations were often brain region—specific. Revealing relationships between lutein and metabolic pathways may help identify potential candidates on which to complete further analyses and may shed light on important roles of lutein in the human brain during development.     

The origin of correlations in metabolomics data

A phenomenon observed earlier in the development of metabolomics as a systems biology methodology, consists of a small but significant number of metabolites whose levels are highly correlated between biological replicates. Contrary to initial interpretations, these correlations are not necessarily only between neighboring metabolites in the metabolic network. Most metabolites that participate in common reactions are not correlated in this way, while some non-neighboring metabolites are highly correlated. Here we investigate the origin of such correlations using metabolic control analysis and computer simulation of biochemical networks. A series of cases is identified which lead to high correlation between metabolite pairs in replicate measurement. These are (1) chemical equilibrium, (2) mass conservation, (3) asymmetric control distribution, and (4) unusually high variance in the expression of a single gene. The importance of identifying metabolite correlations within a physiological state and changes of correlation between different states is discussed in the context of systems biology.