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Cornus officinalis (Cornaceae) is primarily grown in Asian countries. The pericarp of C. officinalis (Corni Fructus) is a well-known traditional medicine with tonic, analgesic, and diuretic properties. We analyzed methanolic extracts of Corni Fructus (grown in Korea and China) by NMR spectroscopy. Metabolite profiling was performed to characterize the metabolic difference between different Corni Fructus origins (Korea or China). Principal components analysis revealed significant separation between Comus Fructus from different origins. The metabolites responsible for differences were identified using loading plots, coefficients plots, and variable influence on projection followed by t-tests. As a result, 16 metabolites were identified and quantified; tyrosine, acetate, sucrose, and malate differed the most between origins. These data suggest that NMR-based metabolomics can be used to identify differences between Corni Fructus samples obtained from different regions.

Despite the notion that a control of protein function by phosphorylation works mainly by inducing its conformational changes, the phosphorylation effects on even small peptide conformation have not been fully understood yet. To study its possible effects on serine and threonine peptide conformations, we recently carried out pH- and temperature-dependent circular dichroism (CD) as well as 1H NMR studies of the phosphorylated serine and threonine peptides and compared them with their unphosphorylated analogs. In the present article, by performing the self-consistent singular value decomposition analysis of the temperature-dependent CD spectra and by analyzing the 3J(HN,Hα) coupling constants extracted from the NMR spectra, the populations of the polyproline II (PPII) and β-strand conformers of the phosphorylated Ser and Thr peptides are determined. As temperature is increased, the β-strand populations of both phosphorylated serine and threonine peptides increase. However, the dependences of PPII/β-strand population ratio on pH are different for these two cases. The phosphorylation of the serine peptide enhances the PPII propensity, whereas that of the threonine peptide has the opposite effect. This suggests that the serine and threonine phosphorylations can alter the backbone conformational propensity via direct but selective intramolecular hydrogen-bonding interactions with the peptide NH groups. This clearly indicates that the phosphoryl group actively participates in modulating the peptide backbone conformations. Proteins 2011; © 2011 Wiley-Liss, Inc.

Heterogeneity of ginsenosides is a remarkable and significant issue because those structure-similar secondary metabolites have different or even totally opposite pharmacological activities. This study describes ginsenoside profile variations in Panax ginseng C.A. Meyer cultivated in Korea using an HPLC-UV coupled to ESI-MS for characterization and quantification of ginsenosides contained in the root of ginseng. The [M-H]− ion was observed for ginsenoside standards (Rg1, Re, Rf, Rh1, Rg2, Rb1, Rc, Rb2, Rb3, Rd, Rg3 and Rh2) and 190 different ginseng extracts. The individual variations in the P. ginseng population were classified into three types, based on the expression pattern of six core ginsenosides containing Ra1/Ra2 and malonyl-Ra1/Ra2 isomers. The variations in the six core ginsenosides, which are defined as pattern indicators, play a key role in discriminating between three subtypes of standard P. ginseng species. In addition, cross-correlation analysis of the identified ginsenosides indicates that the specific ginsenosides, including pattern-indicating components, are in part possibly synthesized via common ginsenoside biosynthesis pathways. Taken together, these findings provide a basis for identifying standard P. ginseng landraces.

Obesity is a multifactorial health problem resulting from genetic, environmental and behavioral factors. A particularly interesting aspect of obesity is the differences observed in response to the same high-fat diet (HFD). In this study, we performed lipidomic profiling on livers from HFD-fed C57BL/6J mice using ultra-performance liquid chromatography–quadrupole time-of-flight mass spectrometry. Mice were divided into three groups: normal diet (ND), HFD-obesity prone (HFD-OP) and HFD-obesity resistant (HFD-OR). Principal components analyses showed a difference between the HFD-OP and HFD-OR groups. Individuals in the HFD-OR group were closer to those in the ND group compared with those in the HFD-OP group. In particular, phosphocholine (PC) and triglyceride (TG) levels differed significantly depending on the length of the acyl chain and degree of unsaturation, respectively. PC species were either positively or negatively correlated with concentrations of glucose, insulin, leptin and hepatic cholesterol according to the length of the acyl chain. Decreased expression of the scavenger receptor B1 and ATP-binding cassette A1 in HFD-OP mice indicated that the acyl chain length of PC species may be related to high-density lipoprotein cholesterol metabolism. This study demonstrates that lipidomic profiling is an effective approach to analyzing global lipid alterations as they pertain to obesity.

Rhizomes of Polygonatum species are commonly used as herbal supplements in Asia. They have different medicinal effects by species but have been misused and mixed owing to their similar taste and smell. Therefore accurate and reliable analytical methods to discriminate between Polygonatum species are required.In this study, global and targeted metabolite profiling using (1) H nuclear magnetic resonance ((1) H NMR) spectroscopy and ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF MS) was applied to discriminate between different Polygonatum species. Partial least squares discriminant analysis (PLS-DA) models were used to classify and predict species of Polygonatum. Cross-validation derived from PLS-DA revealed good predictive accuracy. Polygonatum species were classified into unique patterns based on K-means clustering analysis. 4-Hydrobenzoic acid and trigonelline were identified as novel marker compounds and quantified accurately.The results demonstrate that metabolite profiling approaches coupled with chemometric analysis can be used to classify and discriminate between different species of various herbal medicines. © 2015 Society of Chemical Industry.

Myocardial infarction (MI), a leading cause of death worldwide, results from prolonged myocardial ischemia with necrosis of myocytes due to a blood supply obstruction to an area of the heart. Many studies have reported gender-related differences in the clinical features of MI, but the reasons for these differences remain unclear. In this study, we applied ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF MS) and various statistical methods-such as multivariate, pathway, and correlation analyses-to identify gender-specific metabolic patterns in polar metabolites in serum from healthy individuals and patients with MI. Patients with diagnosed MI (n=68), and age- and body mass index-matched healthy individuals (n=68), were included in this study. The partial least-squares discriminant analysis (PLS-DA) model was generated from metabolic profiling data, and the score plots showed a significant gender-related difference in patients with MI. Many pathways were associated with amino acids and purines; amino acids, acylcarnitines, and purines differed significantly between male and female patients with MI. This approach could be utilized to observe gender-specific metabolic pattern differences between healthy controls and patients with MI.

Tsutsugamushi disease is an infectious disease transmitted to humans through the bite of the Orientia tsutsugamushi-infected chigger mite; however, host-pathogen interactions and the precise mechanisms of damage in O. tsutsugamushi infections have not been fully elucidated. Here, we analyzed the global metabolic effects of O. tsutsugamushi infection on the host using 1H-NMR and UPLC-Q-TOF mass spectroscopy coupled with multivariate statistical analysis. In addition, the effect of O. tsutsugamushi infection on metabolite concentrations over time was analyzed by two-way ANOVAs. Orthogonal partial least squares-discriminant analysis (OPLS-DA) showed distinct metabolic patterns between control and O. tsutsugamushi-infected mice in liver, spleen, and serum samples. O. tsutsugamushi infection caused decreased energy production and deficiencies in both remethylation sources and glutathione. In addition, O. tsutsugamushi infection accelerated uncommon energy production pathways (i.e., excess fatty acid and protein oxidation) in host body. Infection resulted in an enlarged spleen with distinct phospholipid and amino acid characteristics. This study suggests that metabolite profiling of multiple organ tissues and serum could provide insight into global metabolic changes and mechanisms of pathology in O. tsutsugamushi-infected hosts., Author Summary Scrub typhus is an acute febrile illness caused by attacks of Orientia tsutsugamushi-carrying mites, and is the most prevalent febrile illness in the Asia-Pacific region. If not properly treated with antibiotics, patients often develop severe vasculitis that affects multiple organs, and the mortality rate can reach 30%. To explore the pathogenic mechanisms underlying the host-pathogen interaction, we characterized metabolic changes in various organs and the serum of O. tsutsugamushi-infected hosts. After O. tsutsugamushi infection, the host experienced decreased energy production, as well as a severe deficiency in re-methylation sources and glutathione, which impaired purine synthesis, DNA and protein methylation. In addition, abnormal pathways for phosphatidylcholine (PC) biosynthesis and phosphoethanolamine methylation were utilized in the enlarged spleen of O. tsutsugamushi-infected hosts. These results suggested that metabolic profiling could provide insight into global metabolic changes in O. tsutsugamushi-infected hosts, and increase our understanding of the pathogenic mechanisms of O. tsutsugamushi, as well as providing novel therapeutic targets for scrub typhus.

Mass screening for gastric cancer (GC), particularly using endoscopy, may not be the most practical approach as a result of its high cost, lack of acceptance, and poor availability. Thus, novel markers that can be used in cost-effective diagnosis and noninvasive screening for GC are needed.A total of 154 urine samples from GC patients and healthy individuals and 30 pairs of matched tumor and normal stomach tissues were collected. Multivariate analysis was performed on urinary and tissue metabolic profiles acquired using (1)H nuclear magnetic resonance and (1)H high-resolution magic angle spinning spectroscopy, respectively. In addition, metabolic profiling of urine from GC patients after curative surgery was performed.Multivariate statistical analysis showed significant separation in the urinary and tissue data of GC patients and healthy individuals. The metabolites altered in the urine of GC patients were related to amino acid and lipid metabolism, consistent with changes in GC tissue. In the external validation, the presence of GC (early or advanced) from the urine model was predicted with high accuracy, which showed much higher sensitivity than carbohydrate antigen 19-9 and carcinoembryonic antigen. Furthermore, 4-hydroxyphenylacetate, alanine, phenylacetylglycine, mannitol, glycolate, and arginine levels were significantly correlated with cancer T stage and, together with hypoxanthine level, showed a recovery tendency toward healthy controls in the postoperative samples compared to the preoperative samples.An urinary metabolomics approach may be useful for the effective diagnosis of GC.

A metabolomic analysis was performed to examine the postharvest processing of Astragalus membranaceus roots with a focus on the peeling procedure using (1)H NMR and UPLC-MS analyses. Principal component analysis (PCA) score plots from the (1)H NMR and UPLC-MS data showed clear separation between peeled and unpeeled Astragalus roots. Peeled roots exhibited significant losses of several primary metabolites, including acetate, alanine, arginine, caprate, fumarate, glutamate, histidine, N-acetylaspartate, malate, proline, sucrose, trigonelline, and valine. In contrast, the peeled roots contained higher levels of asparagine, aspartate, and xylose, which are xylem-related compounds, and formate, which is produced in response to wound stress incurred during postharvest processing. In addition, the levels of isoflavonoids and astragalosides were significantly reduced in peeled Astragalus root. These results demonstrate that metabolite profiling based on a combination of (1)H NMR and UPLC-MS analyses can be used to evaluate peeling procedures used in the postharvest processing of herbal medicines.

Curcuma is used to treat skin diseases and colic inflammatory disorders, and in insect repellants and antimicrobial and antidiabetic medications. Two Curcuma species (C. aromatica and C. longa) grown in Jeju-do and Jin-do were used in this study. Methanolic extracts were analyzed by (1)H NMR spectroscopy, and metabolite profiling coupled with multivariate analysis was applied to characterize the differences between species or origin. PCA analysis showed significantly greater differences between species than origins, and the metabolites responsible for the differences were identified. The concentrations of sugars (glucose, fructose, and sucrose) and essential oils (eucalyptol, curdione, and germacrone) were significantly different between the two species. However, the samples from Jeju-do and Jin-do were different mainly in their concentrations of organic acids (fumarate, succinate, acetate, and formate) and sugars. This study demonstrates that NMR-based metabolomics is an efficient method for fingerprinting and determining differences between Curcuma species or those grown in different regions.

Kimchi is a well-known traditional Korean food. Its geographical origins can be determined by its biochemical composition. This study identified the biochemical compositions of kimchi extracts from Korea and China by (1)H nuclear magnetic resonance (NMR) spectroscopy followed by multivariate data analysis. Principal component analyses (PCA) clearly discriminated between extracts prepared in the two countries. The identified metabolites, including amino acids, organic acids, sugars, and ethanol, contributed to discriminating the geographical origin of kimchi extracts. Furthermore, differences in composition by origin were predicted with high accuracy in external validation models. These results establish biochemical profiles for kimchi extracts, and indicate that metabolomics can be used in the discrimination of food origins.

Cabbage (Brassica rapa ssp. pekinensis) is one of the most popular foods in Asia and is widely cultivated in many countries for the production of lightly fermented vegetables. In this study, metabolomic analysis was performed to distinguish two cultivars of cabbage grown in different geographical areas, Korea and China, using ¹H NMR spectroscopy coupled with multivariate statistical analysis. Principal component analysis (PCA) showed clear discrimination between extracts of cabbage grown in Korea and China for two different cultivars (Chunmyeong and Chunjung). The major biochemicals (metabolites) that contributed to discrimination between cabbages grown in the two regions were 4-aminobutyrate (GABA), acetate, asparagine, leucine, isoleucine, O-phosphocholine, phenylacetate, phenylalanine, succinate, sucrose, tyrosine, and valine. These results suggest that the levels of the major metabolites that differ significantly between cabbages grown in these two areas were influenced by environmental factors such as climate and geology. Our study demonstrates that ¹H NMR based on metabolomics, coupled with multivariate statistics, can be applied to identify the regions of cultivation of various cabbage cultivars.

Despite prolonged scientific efforts to elucidate the intrinsic peptide backbone preferences of amino-acids based on understanding of intermolecular forces, many open questions remain, particularly concerning neighboring peptide interaction effects on the backbone conformational distribution of short peptides and unfolded proteins. Here, we show that spectroscopic studies of a complete library of 400 dipeptides reveal that, irrespective of side-chain properties, the backbone conformation distribution is narrow and they adopt polyproline II and β-strand, indicating the importance of backbone peptide solvation and electronic effects. By directly comparing the dipeptide circular dichroism and NMR results with those of unfolded proteins, the comprehensive dipeptides form a complete set of structural motifs of unfolded proteins. We thus anticipate that the present dipeptide library with spectroscopic data can serve as a useful database for understanding the nature of unfolded protein structures and for further refinements of molecular mechanical parameters.

Taraxacum, known as dandelion, is a large genus of plants in the family Asteraceae. Pharmacological studies have shown that these plants display a wide variety of medicinal properties because Taraxacum extracts contain many pharmacologically active metabolites that display anti-inflammatory, antinociceptive, antioxidant, and anticancer activity. Each plant species displays several different natural constituents, the majority of which have not been studied as no global metabolite screen of the diverse Taraxacum species has been performed. In this study, we investigated the metabolite difference in three species of Taraxacum (T. coreanum, T. officinale, and T. platycarpum) by (1)H NMR spectroscopy and gas chromatography-mass spectrometry (GC-MS) coupled with multivariate statistical analyses. The aim of this study was to identify the different chemical compositions of the polar and nonpolar extracts in these species. A partial least-squares discriminant analysis showed a significantly higher separation among nonpolar extracts (mainly fatty acids and sterols) compared to polar extracts (mainly amino acids, organic acids, and sugars) between these species. A one-way ANOVA was performed to statistically certify the metabolite differences of these nonpolar extracts. Taken together, these data suggest that a metabolomic approach using combined (1)H NMR and GC-MS analysis is an effective analytical method to differentiate biochemical compositions among different species in plants.

Despite the notion that a control of protein function by phosphorylation works mainly by inducing its conformational changes, the phosphorylation effects on even small peptide conformation have not been fully understood yet. To study its possible effects on serine and threonine peptide conformations, we recently carried out pH- and temperature-dependent circular dichroism (CD) as well as (1)H NMR studies of the phosphorylated serine and threonine peptides and compared them with their unphosphorylated analogs. In the present article, by performing the self-consistent singular value decomposition analysis of the temperature-dependent CD spectra and by analyzing the (3)J(H(N),H(α)) coupling constants extracted from the NMR spectra, the populations of the polyproline II (PPII) and β-strand conformers of the phosphorylated Ser and Thr peptides are determined. As temperature is increased, the β-strand populations of both phosphorylated serine and threonine peptides increase. However, the dependences of PPII/β-strand population ratio on pH are different for these two cases. The phosphorylation of the serine peptide enhances the PPII propensity, whereas that of the threonine peptide has the opposite effect. This suggests that the serine and threonine phosphorylations can alter the backbone conformational propensity via direct but selective intramolecular hydrogen-bonding interactions with the peptide N--H groups. This clearly indicates that the phosphoryl group actively participates in modulating the peptide backbone conformations.

The geographical origin of beef is of increasing interest to consumers and producers due to "mad cow" disease and the implementation of the Free Trade Agreement (FTA). In this study, (1)H NMR spectroscopy coupled with multivariate statistical analyses was used to differentiate the geographical origin of beef samples. Principal component analysis (PCA) and orthogonal projection to latent structure-discriminant analysis (OPLS-DA) showed significant separation between extracts of beef originating from four countries: Australia, Korea, New Zealand, and the United States. The major metabolites responsible for differentiation in OPLS-DA loading plots were succinate and various amino acids including isoleucine, leucine, methionine, tyrosine, and valine. A one-way ANOVA was performed to statistically certify the difference in metabolite levels. The data suggest that NMR-based metabolomics is an efficient method to distinguish fingerprinting difference between raw beef samples, and several metabolites including various amino acids and succinate can be possible biomarkers for discriminating the geographical origin of beef.

The total synthesis and anticancer activity of several novel derivatives based on a dauer effect-inducing glycolipid are presented. A versatile and convergent synthesis was accomplished through stereospecific α-glycosylation, which produced di- and tri-rhamnoside daumone derivatives. Most of the synthetic derivatives possessed potent anticancer activity against human cancer cell lines. Daumone and deoxyrhamnose trisaccharides with amide side chains had the most potent anticancer activity among all other known glycolipids, with an effective concentration of 20 nM, which is comparable to that of doxorubicin. Conversely, acyclic and macrocyclic daumone derivatives had drastically decreased anticancer activity. Due to the high lipophilic nature of the novel glycolipid derivatives, we propose that the observed anticancer activity is due to their potential to inhibit cell differentiation and proliferation via interaction with the membranes of cancer cells.

The total synthesis and anticancer activity of several novel derivatives based on a dauer effect-inducing glycolipid are presented. A versatile and convergent synthesis was accomplished through stereospecific alpha-glycosylation, which produced di- and tri-rhamnoside daumone derivatives. Most of the synthetic derivatives possessed potent anticancer activity against human cancer cell lines. Daumone and deoxyrhamnose trisaccharides with amide side chains had the most potent anticancer activity among all other known glycolipids, with an effective concentration of 20 nM, which is comparable to that of doxorubicin. Conversely, acyclic and macrocyclic daumone derivatives had drastically decreased anticancer activity. Due to the high lipophilic nature of the novel glycolipid derivatives, we propose that the observed anticancer activity is due to their potential to inhibit cell differentiation and proliferation via interaction with the membranes of cancer cells.

A diverse approach to the quantitative structure-activity relationship (QSAR) of tacrine derivatives against acetylcholinesterase (AChE) activity was studied using variable selections of stepwise multiple linear regression (MLR), genetic algorithm (GA)-MLR, and simulated annealing (SA)-MLR. AChE activity (logRA) of tacrine derivatives was expressed with acceptable explanation (95.5-95.9%) and good predictive power (94.5-95.2%), respectively, in the models. The best equation was obtained from simulated annealing (SA) MLR with greater explanatory capability and better prediction, with a smaller standard error than other methods. The resulting models with the given descriptors illustrate the significant roles of hydrophobic and electrostatic interaction on increasing AChE activity, but hydrophilic and topological feature of molecules were shown to decrease AChE activity.