PubMed

Metabolism alteration in follicular niche: The nexus between intermediary metabolism, mitochondrial function, and classic polycystic ovary syndrome. Free Radic Biol Med. 2015 Jun 6; Authors: Zhao H, Zhao Y, Li T, Li M, Li J, Li R, Liu P, Yu Y, Qiao J Abstract Classic polycystic ovary syndrome (PCOS) is a high-risk phenotype accompanied by increased risks of reproductive and metabolic abnormalities; however, the local metabolism characteristics of the ovaries and their effects on germ cell development are unclear. The present study used targeted metabolomics to detect alterations in the intermediate metabolites of follicular fluid from classic PCOS patients, and the results indicated hyperandrogenism, but not obesity induced the changed intermediate metabolites in classic PCOS patients. Regarding the direct contact, we identified mitochondrial function, redox potential and oxidative stress in cumulus cells which werenecessary to support oocyte growth before fertilization, and suggested dysfunction of mitochondria, imbalanced redox potential and increased oxidative stress in cumulus cells of classic PCOS patients. Follicular fluid intermediary metabolic profiles provide signatures of classic PCOS ovary local metabolism and establish close link with mitochondria dyfunction of cumulus cells and highlighting the role of metabolic signal and mitochondrial crosstalk involved in the pathogenesis of classic PCOS. PMID: 26057937 [PubMed - as supplied by publisher]

Metabolome strategy against Edwardsiella tarda infection through glucose-enhanced metabolic modulation in tilapias. Fish Shellfish Immunol. 2015 Jun 6; Authors: Peng B, Ma YM, Zhang JY, Li H Abstract Edwardsiella tarda causes fish disease and great economic loss. However, metabolic strategy against the pathogen remains unexplored. In the present study, GC-MS based metabolomics was used to investigate the metabolic profile from tilapias infected by sublethal dose of E. tarda. The metabolic differences between the dying group and survival group allow the identification of key pathways and crucial metabolites during infections. More importantly, those metabolites may modulate the survival-related metabolome to enhance the anti-infective ability. Our data showed that tilapias generated two different strategies, survival-metabolome and death-metabolome, to encounter EIB202 infection, leading to differential outputs of the survival and dying. Glucose was the most crucial biomarker, which was upregulated and downregulated in the survival and dying groups, respectively. Exogenous glucose by injection or oral administration enhanced hosts' ability against EIB202 infection and increased the chances of survival. These findings highlight that host mounts the metabolic strategy to cope with bacterial infection, from which crucial biomarkers may be identified to enhance the metabolic strategy. PMID: 26057462 [PubMed - as supplied by publisher]

Related Articles Tissue lipid metabolism and hepatic metabolomic profiling in response to supplementation of fermented cottonseed meal in the diets of broiler chickens. J Zhejiang Univ Sci B. 2015 Jun;16(6):447-55 Authors: Nie CX, Zhang WJ, Wang YQ, Liu YF, Ge WX, Liu JC Abstract This study investigated the effects of fermented cottonseed meal (FCSM) on lipid metabolites, lipid metabolism-related gene expression in liver tissues and abdominal adipose tissues, and hepatic metabolomic profiling in broiler chickens. One hundred and eighty 21-d-old broiler chickens were randomly divided into three diet groups with six replicates of 10 birds in each group. The three diets consisted of a control diet supplemented with unfermented cottonseed meal, an experimental diet of cottonseed meal fermented by Candida tropicalis, and a second experimental diet of cottonseed meal fermented by C. tropicalis plus Saccharomyces cerevisae. The results showed that FCSM intake significantly decreased the levels of abdominal fat and hepatic triglycerides (P<0.05 for both). Dietary FCSM supplementation down-regulated the mRNA expression of fatty acid synthase and acetyl CoA carboxylase in liver tissues and the lipoprotein lipase expression in abdominal fat tissues (P<0.05 for both). FCSM intake resulted in significant metabolic changes of multiple pathways in the liver involving the tricarboxylic acid cycle, synthesis of fatty acids, and the metabolism of glycerolipid and amino acids. These findings indicated that FCSM regulated lipid metabolism by increasing or decreasing the expression of the lipid-related gene and by altering multiple endogenous metabolites. Lipid metabolism regulation is a complex process, this discovery provided new essential information about the effects of FCSM diets in broiler chickens and demonstrated the great potential of nutrimetabolomics in researching complex nutrients added to animal diets. PMID: 26055906 [PubMed - in process]

Related Articles Nephron Toxicity Profiling via Untargeted Metabolome Analysis Employing a High-Performance Liquid Chromatography-Mass Spectrometry-Based Experimental and Computational Pipeline. J Biol Chem. 2015 Jun 8; Authors: Ranninger C, Rurik M, Limonciel A, Ruzek S, Reischl R, Wilmes A, Jennings P, Hewitt P, Dekant W, Kohlbacher O, Huber CG Abstract Untargeted metabolomics has the potential to improve the predictivity of in vitro toxicity models and therefore may aid the replacement of expensive and laborious animal models. Here we describe a long-term repeat dose nephrotoxicity study conducted on the human renal proximal tubular epithelial cell line, RPTEC/TERT1, treated with 10 μmol.L-1 and 35 μmol.L-1 of chloroacetaldehyde - a metabolite of the anti-cancer drug ifosfamide. Our study outlines the establishment of an automated and easy to use untargeted metabolomics workflow for HPLC-HRMS data. Automated data analysis workflows based on open-source software (OpenMS, KNIME) enabled a comprehensive and reproducible analysis of the complex and voluminous metabolomics data produced by the profiling approach. Time- and concentration dependent responses were clearly evident in the metabolomic profiles. In order to obtain a more comprehensive picture of the mode of action, transcriptomics and proteomics data were also integrated. For toxicity profiling of chloroacetaldehyde, 428 and 317 metabolite features were detectable in positive and negative mode, respectively, after stringent removal of chemical noise and unstable signals. Changes upon treatment were explored using principal component analysis (PCA) and statistically significant differences were identified using linear models (LIMMA). The analysis revealed toxic effects only for the treatment with 35 μmol.L-1 for 3 and 14 days. The most regulated metabolites were glutathione and metabolites related to the oxidative stress response of the cells. These findings are corroborated by proteomics and transcriptomics data, which show, amongst others, an activation of the Nrf2 and ATF4 pathways. PMID: 26055719 [PubMed - as supplied by publisher]

Related Articles Cardiac metabolomics and autopsy in a patient with early diffuse systemic sclerosis presenting with dyspnea: a case report. J Med Case Rep. 2015 Jun 10;9(1):136 Authors: Frech TM, Revelo MP, Ryan JJ, Shah AA, Gordon J, Domsic R, Hant F, Assassi S, Shanmugam VK, Hinchcliff M, Steen V, Khanna D, Bernstein EJ, Cox J, Luem N, Drakos S Abstract INTRODUCTION: Diffuse systemic sclerosis is associated with high mortality; however, the pathogenesis of cardiac death in these patients is not clear. CASE PRESENTATION: A 56-year-old Caucasian female patient presented with dyspnea and requested to donate her body to science in order to improve understanding of diffuse systemic sclerosis pathogenesis. She had extensive testing for dyspnea including pulmonary function tests, an echocardiogram, cardiac magnetic resonance imaging, and right heart catheterization to characterize her condition. Her case highlights the morbidity seen in this disease, including the presence of extensive skin thickening, digital ulcerations, and scleroderma renal crisis. CONCLUSION: In this case report, we present the finding of cardiac tissue metabolomics, which may indicate a problem with vasodilation as a contributor to cardiac death in diffuse systemic sclerosis. The use of autopsy and tissue metabolomics in rare disease may help clarify disease pathogenesis. PMID: 26055398 [PubMed - as supplied by publisher]

Related Articles Delving deeper into technological innovations to understand differences in rice quality. Rice (N Y). 2015 Dec;8(1):43 Authors: Calingacion M, Fang L, Quiatchon-Baeza L, Mumm R, Riedel A, Hall RD, Fitzgerald M Abstract Increasing demand for better quality rice varieties, which are also more suited to growth under sub-optimal cultivation conditions, is driving innovation in rice research. Here we have used a multi-disciplinary approach, involving SNP-based genotyping together with phenotyping based on yield analysis, metabolomic analysis of grain volatiles, and sensory panel analysis to determine differences between two contrasting rice varieties, Apo and IR64. Plants were grown under standard and drought-induced conditions. Results revealed important differences between the volatile profiles of the two rice varieties and we relate these differences to those perceived by the sensory panel. Apo, which is the more drought tolerant variety, was less affected by the drought condition concerning both sensory profile and yield; IR64, which has higher quality but is drought sensitive, showed greater differences in these characteristics in response to the two growth conditions. Metabolomics analyses using GCxGC-MS, followed by multivariate statistical analyses of the data, revealed a number of discriminatory compounds between the varieties, but also effects of the difference in cultivation conditions. Results indicate the complexity of rice volatile profile, even of non-aromatic varieties, and how metabolomics can be used to help link changes in aroma profile with the sensory phenotype. Our outcomes also suggest valuable multi-disciplinary approaches which can be used to help define the aroma profile in rice, and its underlying genetic background, in order to support breeders in the generation of improved rice varieties combining high yield with high quality, and tolerance of both these traits to climate change. PMID: 26054242 [PubMed]

Related Articles Harnessing the heart of big data. Circ Res. 2015 Mar 27;116(7):1115-9 Authors: Scruggs SB, Watson K, Su AI, Hermjakob H, Yates JR, Lindsey ML, Ping P PMID: 25814682 [PubMed - indexed for MEDLINE]

Related Articles Surveillance for lower airway pathogens in mechanically ventilated patients by metabolomic analysis of exhaled breath: a case-control study. Thorax. 2015 Apr;70(4):320-5 Authors: Fowler SJ, Basanta-Sanchez M, Xu Y, Goodacre R, Dark PM Abstract BACKGROUND: Healthcare associated infections, including ventilator associated pneumonia, are difficult to diagnose and treat, and are associated with significant morbidity, mortality and cost. We aimed to demonstrate proof of concept that breath volatile profiles were associated with the presence of clinically relevant pathogens in the lower respiratory tract. METHODS: Patients with sterile brain injury requiring intubation and ventilation on the intensive care unit were eligible for inclusion. Serial clinical and breath data were obtained three times a week, from admission up to a maximum of 10 days. Bronchial lavage for semiquantitative culture was collected immediately prior to breath sampling. Breath samples were collected in triplicate for off-line analysis by thermal-desorption/gas chromatography/time-of-flight mass spectrometry. Breath data were recorded as retention time/mass ion pairs, and analysed (pathogen present vs absent) by ANOVA-mean centre principal component analysis. RESULTS: Samples were collected from 46 patients (mean (SD) age 49 (19) years; 27 male). The dominant factors affecting breath sample analysis were the individual breath profile and duration of intubation. When these were taken into account, clear separation was seen between breath profiles at each time point by the presence/absence of pathogens. Loadings plots identified consistent metabolite peaks contributing to this separation at each time point. CONCLUSIONS: Breath volatile analysis is able to classify breath profiles of patients with and without significant pathogen load in the lower respiratory tract. If validated in independent cohorts, these findings could lead to development of rapid non-invasive point-of-care surveillance systems and diagnostics for lower respiratory tract infection in the intensive care unit. PMID: 25661115 [PubMed - indexed for MEDLINE]

Related Articles Successful treatment of Cronkhite-Canada syndrome using anti-tumor necrosis factor antibody therapy. Endoscopy. 2014;46 Suppl 1 UCTN:E476-7 Authors: Watanabe D, Ooi M, Hoshi N, Kohashi M, Yoshie T, Ikehara N, Yoshida M, Yanagita E, Yamasaki T, Itoh T, Azuma T PMID: 25314205 [PubMed - indexed for MEDLINE]

Related Articles [Analyzing the inhibition of vitamin B12 to dexamethasone-induced palatognathous mouse using 1H-nuclear magnetic resonance based metabonomics method]. Hua Xi Kou Qiang Yi Xue Za Zhi. 2010 Jun;28(3):311-4 Authors: Wu XH, Huang H, Xu B, Zhou JL, Kong XL, Shi B, Huang J, Li W Abstract OBJECTIVE: Metabonomic analysis has been increasingly used to monitor metabolic abnormalities in cells and their micro-environment in order to detect the biomarkers recently. This study evaluated the feasibility of applying 1H-nuclear magnetic resonance (1H-NMR) based metabonomic method to detect the differences of the early development of cleft palate in the plasma from control group and experimental group. METHODS: Pregnant mice (inbred C57BL/6J strain) with vitamin B12 injected only were assigned as the control group, pregnant mice with excessive Dex, injected after vitamin B12 as the experimental group, each group includes 12 mice. And the effect of B12 to rate of cleft palate was observed. The technology of nuclear magnetic resonance (NMR) was used to detect the endogenous small molecule metabolites. Finally, changes of metabolites ingredients were ascertained by using the method of principal component analysis (PCA). RESULTS: There was significant difference in PCA scores plot between the two groups according to whether cleft palate occurred. CONCLUSION: The 1H-NMR based metabonomic approach might be used as a feasible and efficient method for a deep exploration of the pathogenesis of cleft lip and palate and an early exploration of the mechanism of vitamin B12. PMID: 20635665 [PubMed - indexed for MEDLINE]

Future perspectives in Orbitrap™ high resolution mass spectrometry in food analysis - a review. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2015 Jun 8; Authors: Senyuva HZ, Gokmen V, Sarikaya EA Abstract We have conducted a literature search from 2007-2014 to identify publications where principally LC-Orbitrap™ high resolution mass spectrometry (HRMS) has been employed in food analysis. Of a total of 212 relevant references, only 22 papers were from the years 2007-2010, but in subsequent years there has been a steady growth in publications with 38 to 55 relevant papers being published each year from 2011-2014. In the food safety area over 50% of the published papers were equally divided between pesticides, veterinary drug residues and natural toxins (including mycotoxins) focussed primarily on multi-analyte target analysis. LC- Orbitrap™ HRMS was also found to be increasingly important for the analysis of bioactive substances, principally phenolic compounds in foods. A number of studies reported for the first time the identification of new fungal metabolites, predominantly various conjugated forms of known mycotoxins. Novel process contaminants were also identified by LC-Orbitrap™ HRMS, as were various substances used for food adulteration and bioactive substances in herbal products and dietary supplements. Untargeted analysis is seen as a major future trend where HRMS plays a significant role. Retrospective analysis of scanned HR mass spectra in conjunction with relevant databases can provide new insights. Metabolomics is also being increasingly used where foods are being profiled through fingerprinting using HRMS. All evidence points towards future growth in the number of applications of HRMS in food safety and quality, as the power of this technique gains wider recognition. PMID: 26053336 [PubMed - as supplied by publisher]

ONION: Functional Approach for Integration of Lipidomics and Transcriptomics Data. PLoS One. 2015;10(6):e0128854 Authors: Piwowar M, Jurkowski W Abstract To date, the massive quantity of data generated by high-throughput techniques has not yet met bioinformatics treatment required to make full use of it. This is partially due to a mismatch in experimental and analytical study design but primarily due to a lack of adequate analytical approaches. When integrating multiple data types e.g. transcriptomics and metabolomics, multidimensional statistical methods are currently the techniques of choice. Typical statistical approaches, such as canonical correlation analysis (CCA), that are applied to find associations between metabolites and genes are failing due to small numbers of observations (e.g. conditions, diet etc.) in comparison to data size (number of genes, metabolites). Modifications designed to cope with this issue are not ideal due to the need to add simulated data resulting in a lack of p-value computation or by pruning of variables hence losing potentially valid information. Instead, our approach makes use of verified or putative molecular interactions or functional association to guide analysis. The workflow includes dividing of data sets to reach the expected data structure, statistical analysis within groups and interpretation of results. By applying pathway and network analysis, data obtained by various platforms are grouped with moderate stringency to avoid functional bias. As a consequence CCA and other multivariate models can be applied to calculate robust statistics and provide easy to interpret associations between metabolites and genes to leverage understanding of metabolic response. Effective integration of lipidomics and transcriptomics is demonstrated on publically available murine nutrigenomics data sets. We are able to demonstrate that our approach improves detection of genes related to lipid metabolism, in comparison to applying statistics alone. This is measured by increased percentage of explained variance (95% vs. 75-80%) and by identifying new metabolite-gene associations related to lipid metabolism. PMID: 26053255 [PubMed - as supplied by publisher]

Resolution-enhanced 2D NMR of complex mixtures by non-uniform sampling. Magn Reson Chem. 2015 Jun 6; Authors: Le Guennec A, Dumez JN, Giraudeau P, Caldarelli S Abstract NMR is a powerful tool for the analysis of complex mixtures and the identification of individual components. Two-dimensional (2D) NMR potentially offers a wealth of information, but resolution is often sacrificed in order to contain experimental times. We explore the use of non-uniform sampling (NUS) to increase substantially the resolution of 2D NMR spectra of complex mixtures of small molecules, with no increase in experimental time. Two common pulse sequences for metabolomics applications are analysed, HSQC and TOCSY. Specific attention is paid to sensitivity in resolution-enhanced NUS spectra, using the signal-to-maximum-noise ratio as a metric. With a careful choice of sampling schedule and reconstruction algorithm, resolution in the (13) C dimension for HSQC is increased by a factor of at least 32, with no loss in sensitivity and no spurious peaks. For TOCSY, multiplets can be resolved in the indirect dimension in a reasonable experimental time. These properties should increase the usefulness of 2D NMR for metabolomics applications by, for example, increasing the chances of metabolite identification. Copyright © 2015 John Wiley & Sons, Ltd. PMID: 26053155 [PubMed - as supplied by publisher]

Identification of a transporter Slr0982 involved in ethanol tolerance in cyanobacterium Synechocystis sp. PCC 6803. Front Microbiol. 2015;6:487 Authors: Zhang Y, Niu X, Shi M, Pei G, Zhang X, Chen L, Zhang W Abstract Cyanobacteria have been engineered to produce ethanol through recent synthetic biology efforts. However, one major challenge to the cyanobacterial systems for high-efficiency ethanol production is their low tolerance to the ethanol toxicity. With a major goal to identify novel transporters involved in ethanol tolerance, we constructed gene knockout mutants for 58 transporter-encoding genes of Synechocystis sp. PCC 6803 and screened their tolerance change under ethanol stress. The efforts allowed discovery of a mutant of slr0982 gene encoding an ATP-binding cassette transporter which grew poorly in BG11 medium supplemented with 1.5% (v/v) ethanol when compared with the wild type, and the growth loss could be recovered by complementing slr0982 in the Δslr0982 mutant, suggesting that slr0982 is involved in ethanol tolerance in Synechocystis. To decipher the tolerance mechanism involved, a comparative metabolomic and network-based analysis of the wild type and the ethanol-sensitive Δslr0982 mutant was performed. The analysis allowed the identification of four metabolic modules related to slr0982 deletion in the Δslr0982 mutant, among which metabolites like sucrose and L-pyroglutamic acid which might be involved in ethanol tolerance, were found important for slr0982 deletion in the Δslr0982 mutant. This study reports on the first transporter related to ethanol tolerance in Synechocystis, which could be a useful target for further tolerance engineering. In addition, metabolomic and network analysis provides important findings for better understanding of the tolerance mechanism to ethanol stress in Synechocystis. PMID: 26052317 [PubMed]

Generalized adaptive intelligent binning of multiway data. Chemometr Intell Lab Syst. 2015 Aug;146:42-46 Authors: Worley B, Powers R Abstract NMR metabolic fingerprinting methods almost exclusively rely upon the use of one-dimensional (1D) (1)H NMR data to gain insights into chemical differences between two or more experimental classes. While 1D (1)H NMR spectroscopy is a powerful, highly informative technique that can rapidly and nondestructively report details of complex metabolite mixtures, it suffers from significant signal overlap that hinders interpretation and quantification of individual analytes. Two-dimensional (2D) NMR methods that report heteronuclear connectivities can reduce spectral overlap, but their use in metabolic fingerprinting studies is limited. We describe a generalization of Adaptive Intelligent binning that enables its use on multidimensional datasets, allowing the direct use of nD NMR spectroscopic data in bilinear factorizations such as principal component analysis (PCA) and partial least squares (PLS). PMID: 26052171 [PubMed - as supplied by publisher]

The Aspergillus fumigatus Septins Play Pleiotropic Roles in Septation, Conidiation, and Cell Wall Stress, but are Dispensable for Virulence. Fungal Genet Biol. 2015 Jun 4; Authors: Vargas-Muñiz JM, Renshaw H, Richards AD, Lamoth F, Soderblom EJ, Arthur Moseley M, Juvvadi PR, Steinbach WJ Abstract Septins are a conserved family of GTPases that regulate important cellular processes such as cell wall integrity, and septation in fungi. The requirement of septins for virulence has been demonstrated in the human pathogenic yeasts Candida albicans and Cryptococcus neoformans, as well as the plant pathogen Magnaporthe oryzae. Aspergillus spp. contains five genes encoding for septins (aspA-E). While the importance of septins AspA, AspB, AspC, and AspE for growth and conidiation has been elucidated in the filamentous fungal model Aspergillus nidulans, nothing is known on the role of septins in growth and virulence in the human pathogen Aspergillus fumigatus. Here we deleted all five A. fumigatus septins, and generated certain double and triple septin deletion strains. Phenotypic analyses revealed that while all the septins are dispensable in normal growth conditions, AspA, AspB, AspC and AspE are required for regular septation. Furthermore, deletion of only the core septin genes significantly reduced conidiation. Concomitant with the absence of an electron-dense outer conidial wall, the ΔaspB strain was also sensitive to anti-cell wall agents. Infection with the ΔaspB strain in a Galleria mellonella model of invasive aspergillosis showed hypervirulence, but no virulence difference was noted when compared to the wild-type strain in a murine model of invasive aspergillosis. Although the deletion of aspB resulted in increased release of TNF-α from the macrophages, no significant inflammation differences in lung histology was noted between the ΔaspB strain and the wild-type strain. Taken together, these results point to the importance of septins in A. fumigatus growth, but not virulence in a murine model. PMID: 26051489 [PubMed - as supplied by publisher]

What the transcriptome does not tell - proteomics and metabolomics are closer to the plants' patho-phenotype. Curr Opin Plant Biol. 2015 Jun 3;26:26-31 Authors: Feussner I, Polle A Abstract The proteome and metabolome of the plant provide a wealth of additional information on plant-microbe interactions since they not only represent additional levels of regulation, but often they harbor the end products of regulatory processes. Proteomics has contributed to our understanding of plant-microbe research by increasing the spatial resolution of the analysis within the infected tissue, because components of the basal immunity were uncovered in the apoplast. Metabolomics has developed into a powerful approach to discover the role of small molecules during plant-microbe interactions in non-model plants since it does not depend on the availability of genome or transcriptome data. Moreover, novel molecules involved in systemic acquired resistance and the precursors for the formation of molecules that provide physical barriers to prevent spreading of pathogens were identified. PMID: 26051215 [PubMed - as supplied by publisher]

Heart Failure in Non-Caucasians, Women, and Older Adults: A White Paper on Special Populations from the Heart Failure Society of America Guideline Committee. J Card Fail. 2015 Jun 4; Authors: Colvin-Adams M, Sweitzer NK, Albert NM, Krishnamani R, Rich MW, Stough WG, Walsh MN, Westlake Canary CA, Allen LA, Bonnell MR, Carson PE, Chan MC, Dickinson MG, Dries DL, Ewald GA, Fang JC, Hernandez AF, Hershberger RE, Katz SD, Moore S, Rodgers JE, Rogers JG, Vest AR, Whellan DJ, Givertz MM Abstract The presentation, natural history, clinical outcomes, and response to therapy in patients with heart failure differ in some ways across populations. Women, older adults, and non-Caucasian racial or ethnic groups comprise a substantial proportion of the overall heart failure population, but they have typically been underrepresented in clinical trials. As a result, uncertainty exists about the efficacy of some guideline-directed medical therapies and devices in specific populations, which may result in the under or over treatment of these patients. Even when guideline-based treatments are prescribed, socioeconomic, physical, or psychological factors may impact non-Caucasian and older adult patient groups to a different extent and impact the application, effectiveness, and tolerability of these therapies. Individualized therapy based on tailored biology (genetics, proteomics, metabolomics), socioeconomic and cultural considerations, and individual goals and preferences may be the optimal approach for managing diverse patients. This comprehensive approach to personalized medicine is evolving, but in the interim, the scientific community should continue focused efforts on intensifying research in special populations, prescribing guideline directed medical therapy unless contraindicated, and implementing evidence-based strategies including patient education and multidisciplinary teams in the management of patients. PMID: 26051012 [PubMed - as supplied by publisher]

Metabolomics analysis of cervical cancer, cervical intraepithelial neoplasia and chronic cervicitis by 1H NMR spectroscopy. Eur J Gynaecol Oncol. 2015;36(2):174-80 Authors: Ye N, Liu C, Shi P Abstract Metabolomics profiles of serum samples from women with chronic cervicitis, cervical intraepithelial neoplasia (CIN), and cervical cancer were characterized by proton nuclear magnetic resonance (1H NMR). These spectral profiles were subjected to partial least-squares discriminant analysis (PLS-DA), and good discriminations between cancerand non-cancer groups (chronic cervicitis and CIN) were achieved by multivariate modeling of serum profiles. The main metabolites contributing to these discriminations, as highlighted by multivariate analysis and confirmed by spectral integration, were formate, tyrosine, β-glucose, inositol, glycine, carnitine, glutamine, acetate, alanine, valine, isoleucine, and very-low-density lipoprotein (VLDL). Metabolomics analysis for chronic cervicitis, CIN, and cervical cancer is significant, which give a systemic metabolic response of these female diseases. The systemic metabolic response may be used to identify the potential biomarkers for the diseases. PMID: 26050356 [PubMed - in process]

Related Articles A metabolomic strategy to screen the prototype components and metabolites of Qingkailing injection in rat urine by high-performance liquid chromatography with tandem mass spectrometry. J Sep Sci. 2014 Oct;37(20):2844-50 Authors: Guo M, Zhang L, Liu H, Qin L, Zhang Z, Bai X, Gao X Abstract Xenobiotic metabolome identification of Chinese herbal formula in biological systems is a very challenging task. Qingkailing injection is a typical Chinese herbal injection, which is wildly used clinically in China. However, the holistic metabolic fate of the ingredient from Qingkailing injection remains unclear. In this work, a metabolomic strategy for comprehensively elucidating Qingkailing injection derived prototype components and metabolites in rat urine conducted by hybrid linear ion trap high-resolution mass spectrometry was developed. High-performance liquid chromatography coupled with hybrid linear ion trap high-resolution mass spectrometry was developed to obtain the urine profiling between the control group and Qingkailing injection treated group. Orthogonal partial least squares discriminate analysis was applied to distinguish the exogenous and the endogenous. In the S-plot, 37 xenobiotics derived from Qingkailing injection were found in urine, including 18 prototype compounds and 19 metabolites. The characterization of the prototype components and metabolites in rat's urine provided essential data for further pharmacological studies of Qingkailing injection. Our results indicated that the metabolomic approach was an effective tool to discover, screen, and analyze the multiple prototype components and their metabolites from complicated traditional Chinese preparations in vivo. PMID: 25073714 [PubMed - indexed for MEDLINE]