Metabolomic profiling of Vitis vinifera cell suspension culture elicited with silver nitrate by 1H NMR spectrometry and principal components analysis

The metabolomic profiling of Vitis vinifera cell suspension cultures with and without silver nitrate was performed by ¹H NMR (nuclear magnetic resonance) spectrometry and principal components analysis (PCA), to assess the efficacy of this method for the characterization and monitoring of plant cell lines. The PCA of the ¹H NMR spectra of the aqueous fractions allowed a clear discrimination of V. vinifera cell suspension culture samples with and without silver nitrate treatment by the first three principal components (PC1, PC2, and PC3), which cumulatively accounted for 95.9% of the variation in all variables. In particular, the score plots by the combining PC1 versus PC2 and PC2 versus PC3 facilitated an excellent separation of samples. In addition, the major peaks in ¹H NMR spectra contributing to the discrimination were assigned to lactate, alanine, acetic acid, choline, fructose, α-glucose, and sucrose. This method based on metabolomic analysis allows the efficient monitoring and the differentiation of normal cell suspension system from elicited systems without any prepurification steps.     

Determination of differences in the nonvolatile metabolites of pine-mushrooms (Tricholoma matsutake Sing.) according to different parts and heating times using 1H NMR and principal component analysis.

The differences in the nonvolatile metabolites of pine-mushrooms (Tricholoma matsutake Sing.) according to different parts and heating times were analyzed by applying principal component analysis (PCA) to 1H nuclear magnetic resonance (NMR) spectroscopy data. The 1H NMR spectra and PCA enabled the differences of nonvolatile metabolites among mushroom samples to be clearly observed. The two parts of mushrooms could be easily discriminated based on PC 1, and could be separated according to different heattreated times based on PC 3. The major peaks in the 1H NMR spectra that contributed to differences among mushroom samples were assigned to trehalose, succinic acid, choline, leucine/isoleucine, and alanine. The content of trehalose was higher in the pileus than in the stipe of all mushroom samples, whereas succinic acid, choline, and leucine/isoleucine were the main components in the stipe. Heating resulted in significant losses of alanine and leucine/isoleucine, whereas succinic acid, choline, and trehalose were the most abundant components in mushrooms heat-treated for 3 min and 5 min, respectively.     

Metabolic fingerprinting of wild type and transgenic tobacco plants by 1H NMR and multivariate analysis technique

The metabolomic analysis of wild type and constitutive salicylic acid producing tobacco plants (CSA tobacco, Nicotiana tabacum 'Samsun' NN) plants overexpressing salicylate biosynthetic genes was carried out by 1H NMR spectrometry and multivariate analysis techniques. The principle component analysis (PCA) of the 1H NMR spectra showed a clear discrimination between those samples by PC1 and PC2. The discrimination of non-inoculated, TMV-virus inoculated, and systemic leaves or veins could also be obtained by PCA analysis. Major peaks in 1H NMR spectra contributing to the discrimination were assigned as those of chlorogenic acid, malic acid, and sugars. This method allows an efficient differentiation between wild type and transgenic plants without any pre-purification steps.     

Metabolic Discrimination of Catharanthus roseus Calli According to Their Relative Locations Using 1H-NMR and Principal Component Analysis

Creating a plant-cell suspension culture involves first transferring the callus into liquid media, but there are no objective criteria for selecting the location of the callus to be transferred. In this study, inner and outer cells of Catharanthus roseus with various elicitors in solid-state cultures were differentiated by ¹H NMR (nuclear magnetic resonance) spectrometry and principal component analysis (PCA). It was found that the samples of various elicitors and relative locations could be separated in PCA-derived score plots. Especially, there was a clear separation between nontreated samples and those cotreated with silver nitrate and methyl jasmonate. Loading-plot analysis was therefore applied to data obtained from nontreated samples and those cotreated with silver nitrate and methyl jasmonate to determine the separation of major metabolites on score plots. The levels of valine, lactic acid, threonine, alanine, arginine, acetic acid, malic acid, succinic acid, citric acid, asparagine, choline, lactose, fumaric acid, phenylalanine, tryptophan, and formic acid were higher in the inner callus than in the outer callus, whereas 2-oxoglutaric acid, oxalacetic acid, sucrose, and glucose dominated in the outer callus. The results obtained in this study suggest that inner and outer calli can be differentiated by ¹H-NMR-based metabolomic analysis.     

Metabonomic studies of human hepatocellular carcinoma using high-resolution magic-angle spinning 1H NMR spectroscopy in conjunction with multivariate data analysis

High-resolution magic-angle spinning (MAS) 1H nuclear magnetic resonance spectroscopy has been employed to characterize the metabolite composition (i.e., metabonome) of the human hepatocellular carcinoma (HCC) tumor in combination with principal component analysis (PCA). The results showed that (a) the metabonomes of both low-grade HCC and high-grade HCC tumors differ markedly from that of the adjacent non-involved tissues; and (b) low-grade HCC tumors have clear differences in metabonome from that of the high-grade HCC tumors. Compared with the non-involved adjacent liver tissues, HCC tumors had elevated levels of lactate, glutamate, glutamine, glycine, leucine, alanine, choline metabolites, and phosphorylethanolamine (PE), but declined levels of triglycerides, glucose, and glycogen. The levels of lactate, amino acids including glutamate, glutamine, glycine, leucine and alanine, choline and phosphorylethanolamine (PE) were higher but the levels of PC, GPC, triglycerides, glucose, and glycogen were lower in high-grade HCC than in low-grade HCC tumors. Compared with non-cirrhotic, low-grade HCC tumors, the cirrhotic, low-grade HCC tumors showed statistically significant increases in lactate, phosphocholine (PC), and glycerophosphocholine (GPC). The necrosis in HCC tumors resulted in a drastic increase in the levels of observable triglycerides, signals of which dominated their 1H NMR spectra. These results indicated that HRMAS combined with PCA offers a useful tool for understanding the tumor biochemistry and classification of liver tumor tissues; such tool may also have some potential for liver tumor diagnosis and prognosis even when some other disease processes are present.     

<Superscript>1</Superscript>H NMR metabolic fingerprinting of saffron extracts

The aim of this study was to explore feasibility of ¹H NMR metabolic fingerprinting for discrimination of authenticity of saffron using principal component analysis (PCA) modeling. Authentic reference Iranian saffron (n = 31) and commercial samples (n = 32) were used. Cross-validated PCA models based on ¹H NMR spectra of solutions prepared by direct extraction of grinded saffron with methanol-d ₄ distinguished reference Iranian saffron samples from commercial samples that formed several distinct clusters, some of which represent falsified samples as confirmed by microscopic analysis. The production sites and drying conditions of the authentic reference Iranian samples were not reflected in the current dataset. Picrocrocin and glycosyl esters of crocetin emerged as the most important ¹H NMR markers of authentic saffron by using statistical correlation spectroscopy. In conclusion, ¹H NMR spectra of saffron extracts combined with pattern recognition by PCA provide immediate means of unsupervised classification of saffron samples.     

高分辨魔角旋转核磁共振和主成分分析研究人类低级星形细胞瘤和脑膜瘤的代谢组特征

采用高分辨魔角旋转核磁共振（HRMAS ^1H NMR）技术结合主成分分析（PCA）方法研究了39例人体脑肿瘤组织的代谢组特征．39例肿瘤样本分别来自39个脑肿瘤患者,包括15例低级星形细胞瘤,13例纤维型脑膜瘤和11例过渡型脑膜瘤．核磁共振波谱分析结果表明,脑肿瘤组织的代谢组中丰要含有脂肪酸、乳酸、胆碱代谢物（如胆碱、磷酸胆碱和甘油磷酸胆碱）、氯基酸（如丙氨酸、谷氨酸、谷氮酰胺、牛磺酸）、N-乙酰天门冬氨酸（NAA）和谷胱甘肽等代谢物．通过对核磁共振谱进行主成分分析（PCA）,发现低级星形细胞瘤和脑膜瘤的代谢组之间具有明显的差异,而在过渡型和纤维型两个亚类脑膜瘤之间该差别相对较小．与脑膜瘤相比,低级星形细胞瘤中甘油磷酸胆碱、磷酸胆碱、肌醇与肌酸的含量较高,而丙氨酸、谷氨酸、谷氨酰胺、谷胱甘肽和牛磺酸的含量较低．NAA的含量在低级星形细胞瘤中尽管较低但能观察到,而脑膜瘤中却未发现NAA的信号．结果衷明,HRMAS ^1H NMR和多变量统计分析相结合的组织代谢组学方法,不仅能有效区分不同类型的脑肿瘤,而且还可以为脑肿瘤提供丰富的代谢组信息,这些信息对研究肿瘤发生发展的机制具有潜在的意义．     

Comparative metabolite profiling and fingerprinting of medicinal licorice roots using a multiplex approach of GC–MS,LC–MS and 1D NMR techniques

Glycyrrhiza glabra, commonly known as licorice, is a popular herbal supplement used for the treatment of chronic inflammatory conditions and possesses anticancer and antiviral activities. This species contains a plethora of phytochemicals including terpenoids, saponins, flavonoids, polyamines and polysaccharides. The full complement of bioactive compounds has yet to be elucidated, a step necessary in order to explain its medicinal use. There are over 30 species in the Glycyrrhiza genus world-wide, most of which have been little characterized in terms of phytochemical or pharmacological properties. Here, large scale multi-targeted metabolic profiling and fingerprinting techniques were utilized to help gain a broader insight into Glycyrrhiza species chemical composition. UV, MS and NMR spectra of extracted components were connected with NMR, MS, and multivariate analyses data from Glycyrrhiza glabra, Glycyrrhiza uralensis, Glycyrrhiza inflata and Glycyrrhiza echinata. Major peaks in ¹H NMR and MS spectra contributing to the discrimination among species were assigned as those of glycyrrhizin, 4-hydroxyphenyl acetic acid, and glycosidic conjugates of liquiritigenin/isoliquiritigenin. Primary metabolites profiling using GC–MS revealed the presence of cadaverine, an amino acid, exclusively found in G. inflata roots. Both LC–MS and NMR were found effective techniques in sample classification based on genetic and or geographical origin as revealed from derived PCA analysis.     

Metabolic analysis of guava (Psidium guajava L.) fruits at different ripening stages using different data-processing approaches

Gas chromatography coupled with time-of-flight mass spectrometry and principal component analysis were used to obtain the metabolite profiles of guava (Psidium guajava) fruits. Results with two types of data-processing software, ChromaTOF and AMDIS, were compared to explain the differences between the samples. There were some differences in score and loading plot patterns of PCA as well as in the composition of the metabolites. However, little difference was observed in the type of metabolites detected and identified using either type of software. Both the flesh and peel of premature and mature white guava fruits were compared for the analysis of the metabolite profiles. Malic acid, aspartic acid, and glucose were the major metabolites distinguishing the different parts of guava fruits in the PCA loading plot. In addition, the metabolic profiles of the fruits revealed significant changes in some metabolites during ripening. The major components contributing to the separation were serine, citric acid, fructose, sucrose, and some unknowns. In particular, sucrose, fructose, serine and citric acid were related to the ripening of guava fruits. Fructose and sucrose were increased whereas citric acid was decreased during guava fruit ripening.     

Taxonomic discrimination of cyanobacteria by metabolic fingerprinting using proton nuclear magnetic resonance spectra and multivariate statistical analysis

When whole-cell extracts are analyzed, proton nuclear magnetic resonance (¹H NMR) spectroscopy provides biochemical profiles that contain overlapping signals of the majority of the compounds. To determine whether cyanobacteria could be taxonomically discriminated on the basis of metabolic fingerprinting, we subjected whole-cell extracts of the cyanobacteria to¹H NMR. The¹H NMR spectra revealed a predominance of signals in the aliphatic region. Principal component analysis (PCA) of the data then enabled discrimination of the cyanobacteria. The hierarchical dendrogram, based on PCA of the aliphatic region data, showed that six cyanobacterial taxa were discriminated from two eukaryotic microalgal species, and that the six taxa could be subsequently divided into three groups. This agrees with the current taxonomy of cyanobacteria. Therefore, our overall results indicate that metabolic fingerprinting using¹H NMR spectra and multivariate statistical analysis provide a simple, rapid method for the taxonomical discrimination of cyanobacteria.     

1H NMR based metabolite profiling for optimizing the ethanol extraction of Wolfiporia cocos

Metabolite profiling of Wolfiporia cocos (family: Polyporaceae) had been much advancement in recent days, and its analysis by nuclear magnetic resonance (NMR) spectroscopy has become well established. However, the highly important trait of W. cocos still needs advanced protocols despite some standardization. Partial least squares discriminant analysis (PLS-DA) was used as the multivariate statistical analysis of the ¹H NMR data set. The PLS-DA model was validated, and the key metabolites contributing to the separation in the score plots of different ethanol W. cocos extract. ¹H NMR spectroscopy of W. cocos identified 33 chemically diverse metabolites in D₂O, consisting of 13 amino acids, 11 organic acids 2 sugars, 3 sugar alcohols, 1 nucleoside, and 3 others. Among these metabolites, the levels of tyrosine, proline, methionine, sarcosine, choline, acetoacetate, citrate, 4-aminobutyrate, aspartate, maltose, malate, lysine, xylitol, lactate threonine, leucine, valine, isoleucine, uridine, guanidoacetate, arabitol, mannitol, glucose, and betaine were increased in the 95% ethanol extraction sample compared with the levels in other samples, whereas level of acetate, phenylalanine, alanine, succinate, and fumarate were significantly increased in the 0% ethanol extraction sample. A biological triterpenoid, namely pachymic acid, was detected from different ethanol P. cocos extract using ¹H-NMR spectra were found in CDCl₃. This is the first report to perform the metabolomics profiling of different ethanol W. cocos extract. These researches suggest that W. cocos can be used to obtain substantial amounts of bioactive ingredients for use as potential pharmacological and nutraceuticals agents.     

An approach to the differentiation of leucine and isoleucine residues in EI mass spectra of peptides

Residues of leucine and isoleucine cannot generally be distinguished in the electron impact (EI) generated mass spectra of N-acylated peptide esters. We have obtained the mass spectra of model peptide esters containing leucine or isoleucine in various positions and trifluoroacetyl perdeutero leucine as the N-terminal blocking group. The mass spectra of the peptide derivatives show a pair of peaks as a result of the elimination from the M⁺ ion of neutral fragment of perdeuterated isobutene (M⁺-64) from the leucine side chain of the N-terminal blocking group and isobutene or butene (M⁺-56) from leucine or isoleucine residues of the peptide. The ratios of the intensities of the peaks $\text{M}{}^{\mathrm{+}}\text{-56}\text{M}{}^{\mathrm{+}}\text{-64}$ show considerable variation with the position of leucine or isoleucine in the peptide chain and the length of the peptide, but for peptides which are identical except for the fact that one contains leucine and the other isoleucine in a given position the ratio is always smaller for the isoleucine containing peptide. The differences are sufficient to distinguish the isomeric residues if comparison spectra are available.     

1H‐NMR Based Metabolomics Profiling of Citrus Juices Produced in Veracruz,México

This study describes the ¹H‐NMR‐based metabolomics profiling of juices from citrus fruits harvested in the state of Veracruz, México. The hydrophilic profile of commercial lemons (Agrio and Persian), tangerines (Fremont and Mónica), oranges (Valencia and Washington Navel), and grapefruits (Red Ruby and Rio Red) was determined. According to our results, 35 metabolites were identified in the ¹H‐NMR profiling. The statistical differences obtained by PCA and OPLS‐DA revealed that specific amino acids, sugars, and organic acids were differential metabolites in the species and cultivars studied. High endogenous levels of sucrose (10–190 mM), α‐glucose, β‐glucose (α‐ and β‐isomers, 40–205 mm ), and fructose (36–170 mm ) were detected in the juices of grapefruits, oranges, and tangerines, whereas citric acid (40–530 mm ) was the principal organic acid in the juices of lemons. To calculate the specific amounts of metabolites from these species and their cultivars, the results were finely analyzed using the qNMR method. According to these calculations, Valencia oranges had the highest concentration of ascorbic acid (>2 mm ). The described ¹H‐NMR method is highly reproducible, inexpensive, and highly robust in comparison to other analytical methods used to determine the hydrophilic profile of citrus juices.     

1H NMR metabolic profiling of human serum associated with benign and malignant gallstone diseases

Proton NMR based metabolic profile of serum associated with different gallbladder pathologies is presented. Quantitative and qualitative variations in the metabolic profile of serum in control samples and three different pathologies of gallbladder, chronic cholecystitis, xanthogranulomatous cholecystitis and carcinoma of gallbladder has been evaluated by use of ¹H NMR based metabonomics and multivariate chemometric methods. Multivariate partial least square discriminant analysis of ¹H NMR spectra showed a clear discrimination between control and diseased groups on the basis of quantitative and qualitative metabolic variations. Increased levels of lactate and pyruvate whereas decreased levels of glucose, some amino acids and low density lipoprotein/very low density lipoprotein (LDL/VLDL) were observed. These metabolites, responsible for class discrimination, from different metabolic pathways could be considered as the signatures of the carcinoma of gallbladder.     

Metabolic responses of Quercus ilex seedlings to wounding analysed with nuclear magnetic resonance profiling

Plants defend themselves against herbivory at several levels. One of these is the synthesis of inducible chemical defences. Using NMR metabolomic techniques, we studied the metabolic changes of plant leaves after a wounding treatment simulating herbivore attack in the Mediterranean sclerophyllous tree Quercus ilex. First, an increase in glucose content was observed in wounded plants. There was also an increase in the content of C‐rich secondary metabolites such as quinic acid and quercitol, both related to the shikimic acid pathway and linked to defence against biotic stress. There was also a shift in N‐storing amino acids, from leucine and isoleucine to asparagine and choline. The observed higher content of asparagine is related to the higher content of choline through serine that was proved to be the precursor of choline. Choline is a general anti‐herbivore and pathogen deterrent. The study shows the rapid metabolic response of Q. ilex in defending its leaves, based on a rapid increase in the production of quinic acid, quercitol and choline. The results also confirm the suitability of ¹H NMR‐based metabolomic profiling studies to detect global metabolome shifts after wounding stress in tree leaves, and therefore its suitability in ecometabolomic studies.     

NMR spectroscopic-based metabonomic investigation on the acute biochemical effects induced by Ce(NO3)3 in rats

An integrated metabonomic approach based on high-resolution (1)H NMR spectroscopy has been applied to the investigation of the acute biochemical effects caused by Ce(NO(3))(3) in rats. Male Wistar rats were separated into 8 groups and each was treated with one of following compounds, mercury II chloride (HgCl(2)), 2-bromoethanamine hydrobromide (BEA), carbon tetrachloride (CCl(4)), alpha-naphthylisothiocyanate (ANIT), and three doses of Ce(NO(3))(3) (i.p. 2, 10 and 50mg/kg body weight). Urine was collected over a 48-h time course, and serum and tissue samples (liver and kidney) were gained after exposure to Ce(NO(3))(3) for 48 h. Histopathology and plasma clinical chemistry were also performed for all the tissue and plasma samples. Urine and serum samples were analyzed by 600 MHz (1)H NMR spectroscopy. All the (1)H NMR spectra were data-processed and analyzed using principal components analysis or hierarchical clustering analysis to show the time- and dose-dependent biochemical variations induced by Ce(NO(3))(3). Metabolic profiles of urinary (1)H NMR spectra from animals treated with Ce(NO(3))(3) exhibited an increase in trimethylamine N-oxide (TMAO), dimethylamine (DMA), dimethylglycine (DMG), taurine (Tau) and amino acids (valine, leucine and isoleucine), together with a decrease in citrate. The (1)H NMR spectral analysis of serum presented the elevation of acetone, acetoacetate, lactate and creatinine levels. These findings indicated the impairment of fatty acid beta-oxidation in liver mitochondria and renal lesions. This work illustrates the high reliability of NMR-based metabonomic approach on the study of the biochemical effects induced by rare earths.     

Metabolic discrimination of sucrose starvation from<Emphasis Type="Italic">Arabidopsis</Emphasis> cell suspension by<Superscript>1</Superscript>H NMR based metabolomics

Whole cell extracts ofArabidopsis cell cultures maintained on various sucrose concentrations (0,3, and 6%) were analyzed by¹H NMR spectroscopy to determine the comprehensive metabolic change in these cultures during sucrose starvation. The amount of sucrose, glucose, and fructose in the cells decreased to almost nothing after 12 h of culture in medium without sucrose. In contrast, the total free amino acid content of the cells increased as the culture proceeded. Among the free amino acids, phenylalanine and malic acid increased the most, followed by asparagine and alanine, whereas glutamic acid did not change significantly. These results are in agreement with previous studies using HPLC.¹H NMR spectroscopy enabled measurement of changes in the sugar and free amino acid content of whole cell extracts without fractionation and complicated sample preparation. These results indicate that comprehensive metabolic changes in the cells can be determined by a simple, rapid method using whole cell extracts and¹H NMR spectroscopy.     

Application of NMR based metabolomics for mapping metabolite variation in European wheat

In this study, we report on the use of NMR-based metabolomics to access variation in low molecular weight polar metabolites between the European wheat cultivars Apache, Charger, Claire and Orvantis. Previous unassigned resonances in the published NMR spectra of wheat extracts were identified using ¹³C NMR and two dimensional proton-carbon NMR. These included a peak for trans-aconitate (δ3.43) and resonances corresponding to fructose in the crowded carbohydrate region of the spectra. Large metabolite differences were observed between two different growth stages, namely the coleoptile and two week old leaf tissue extracts which were consistent across cultivars. Two week old leaf tissue extracts had higher abundances of glutamine, glutamate, sucrose and trans-aconitate and less glucose and fructose than were observed in the coleoptile extracts. Across both growth stages the cultivars Apache and Charger showed the greatest differences in metabolite profiles. Charger had higher abundances of betaine, the single most influential metabolite in the principal component analysis, in addition to fructose and sucrose. However, Charger had lower levels of aspartate, choline and glucose than Apache. These findings demonstrate the potential for a biochemical mapping approach using NMR, across European wheat germplasm, for metabolites of known importance to functional characteristics.     

Revealing the metabonomic variation of EC using 1H-NMR spectroscopy and its association with the clinicopathological characteristics

In this study, (1)H NMR-based metabonomics has been applied to investigate esophageal cancer metabolic signatures in plasma and urine, purpose of assessing the diagnostic potential of this approach and gaining novel insights into esophageal cancer metabolism and systemic effects. Plasma and urine samples from esophageal cancer patients (n = 108) and a control healthy group (n = 40) were analyzed by Nuclear Magnetic Resonance (NMR) spectroscopy (600 MHz), and their spectral profiles subjected to Orthogonal Projections to Latent Structures (OPLS-DA) for multivariate statistics. Potential metabolic biomarkers were identified using data base comparisons used for examining the significance of metabolites. Compared to healthy controls, esophageal cancer plasma had higher levels of dimethylamine, α-glucose, β-glucose, citric acid, together with lower levels of Leucine, alanine, isoleucine, valine, glycoprotein, lactate, acetone, acetate, choline, isobutyrate, unsaturated lipid, VLDL, LDL, 1-methylhistidine; Compared to healthy controls, esophageal cancer urine had higher levels of Mannitol, glutamate, γ-propalanine, phenylalanine, acetate, allantoin, pyruvate, tyrosine, β-glucose and guinolinate, together with lower levels of N-acetylcysteine, valine, dihydrothymine, hippurate, methylguanidine, 1-methylnicotin- amide and Citric acid; Very good discrimination between cancer and control groups was achieved by multivariate modeling of plasma and urinary profiles. (1)H NMR-based metabolite profiling analysis was shown to be an effective approach to differentiating between patients with EC and healthy subjects. Good sensitivity and selectivity were shown by using the metabolite markers discovered to predict the classification of samples from the healthy control group and the patients with the disease. Plasma and urine metabolic profiling may have potential for early diagnosis of EC and may enhance our understanding of its mechanisms.     

Metabolomic analysis of Strychnos nux-vomica, Strychnos icaja and Strychnos ignatii extracts by 1H nuclear magnetic resonance spectrometry and multivariate analysis techniques

1H Nuclear magnetic resonance spectrometry and multivariate analysis techniques were applied for the metabolic profiling of three Strychnos species: Strychnos nux-vomica (seeds, stem bark, root bark), Strychnos ignatii (seeds), and Strychnos icaja (leaves, stem bark, root bark, collar bark). The principal component analysis (PCA) of the 1H NMR spectra showed a clear discrimination between all samples, using the three first components. The key compounds responsible for the discrimination were brucine, loganin, fatty acids, and Strychnos icaja alkaloids such as icajine and sungucine. The method was then applied to the classification of several "false angostura" samples. These samples were, as expected, identified as S. nux-vomica by PCA, but could not be clearly discriminated as root bark or stem bark samples after further statistical analysis.