Cancer cells often have dysregulated metabolism, which is largely characterized by the Warburg effect-an increase in glycolytic activity at the expense of oxidative phosphorylation-and increased glutamine utilization. Modern metabolomics tools offer an efficient means to investigate metabolism in cancer cells. Currently, a number of protocols have been described for harvesting adherent cells for metabolomics analysis, but the techniques vary greatly and they lack specificity to particular cancer cell lines with diverse metabolic and structural features. Here we present an optimized method for untargeted metabolomics characterization of MDA-MB-231 triple negative breast cancer cells, which are commonly used to study metastatic breast cancer. We found that an approach that extracted all metabolites in a single step within the culture dish optimally detected both polar and non-polar metabolite classes with higher relative abundance than methods that involved removal of cells from the dish. We show that
Metabolomics is a comprehensive analysis of small molecules, or metabolites, in a system. Metabolomics is a hypothesis-generating experiment and offers an unbiased analysis of cell metabolism that can aid in the understanding of fundamental biological processes. Metabolomics is widely and broadly applicable in the biological sciences and has been used to study gene function, elucidate mechanisms of drug action, develop novel therapeutics, and to better understand disease states. This dissertation presents studies aimed at developing and determining the suitability of a mass spectrometry based untargeted metabolomics platform. Four chapters of original research are presented in this dissertation. The first chapter describes the development of a liquid chromatography-quadrupole-time-of-flight mass spectrometry metabolomics platform and details the various steps involved in a typical metabolomics experiment including metabolite extraction/sample preparation, metabolite separation and data ...
This is a prospective, multi-centered study to assess whether urine metabolomics can play a role in the screening of colorectal cancer (CRC). Urine samples will be collected from 1000 patients going through an established CRC screening program, and from a further 500 patients who already have a diagnosis of CRC. Using nuclear magnetic resonance (NMR) spectroscopy, the 1H NMR spectrum of urine samples will be analyzed for specific metabolites, and establish the metabolomic signature of colorectal cancer. The results from metabolomic urinalysis of this screening cohort will be compared with results from colonoscopy, histological descriptions, fecal occult blood testing (FOBT), and fecal immune testing (FIT) to assess the accuracy of urine metabolomics in identifying patients with polyps and malignancies. The urine metabolomic results from the colorectal cancer group will be correlated with operative, histological and clinical staging to define the role of urine metabolomics in assessing colorectal ...
The aim of this thesis was to develop concepts and methods to extract qualitative and quantitative information about metabolites from untargeted mass spectrometric data of biological samples. Several typical challenges in data handling were addressed that prevent a straightforward interpretation (data analysis) of the data acquired with different types of mass spectrometric-based metabolomics methods (GC-MS, LC-MS, CE-MS or DI-MS) methods. The critical parameters causing variation in quantitative results were identified and studied at different stages in the metabolomics workflow such as data acquisition, data pre-processing and data analysis. Different methods and concepts were developed to address these and to improve the quantitation of metabolites and the comparison between metabolite data in different samples of the same study measured at different moments or between studies. The methods developed focused on improved normalization, data pre-processing of untargeted analysis and data ...
IROA Technologies. Professor Chris Beecher is the Associate Director of the South-East Center for Integrated Metabolomics (SECIM) at the University of Florida, one of six NIH-funded Metabolomics Centers in the United States, and the Chief Science Officer for IROA Technologies (IROA). The IROA protocols are a core technology within SECIM. Professor Beecher had previously established the unbiased Metabolomics platforms at the University of Michigan (2007) in Ann Arbor, Michigan, and, prior to that, had developed the metabolomics platforms for Metabolon, a metabolomics-based company (2004), and Paradigm Genetics (1999) both in RTP, North Carolina.. Since 1999 Professor Beechers research focus has been on the continued development of the science of Metabolomics. As the newest of the "Omics" sciences, establishing methods for higher sensitivity, resolution and reproducibility, and algorithms for data handling, and data generation are areas of ongoing exploration. The Lab actively collaborates with ...
Liquid Chromatography Time-of-Flight Mass Spectrometry (LC-TOFMS) is an analytical platform that is widely used in the study of biological mixtures in the rapidly growing fields of proteomics and metabolomics. The development of statistical methods for the analysis of the very large data-sets that are typically produced in LC-TOFMS experiments is a very active area of research. However, the theoretical basis on which these methods are built is currently rather thin and as a result, inferences regarding the samples analysed are generally drawn in a somewhat qualitative fashion. This thesis concerns the development of a statistical formalism that can be used to describe and analyse the data produced in an LC-TOFMS experiment. This is done through the derivation of a number of probability distributions, each corresponding to a different level of approximation of the distribution of the empirically obtained data. Using such probabilistic models, statistically rigorous methods are developed and ...
Breast cancer accounts for the largest number of newly diagnosed cases in female cancer patients. Although mammography is a powerful screening tool, about 20% of breast cancer cases cannot be detected by this method. New diagnostic biomarkers for breast cancer are necessary. Here, we used a mass spectrometry-based quantitative metabolomics method to analyze plasma samples from 55 breast cancer patients and 25 healthy controls. A number of 30 patients and 20 age-matched healthy controls were used as a training dataset to establish a diagnostic model and to identify potential biomarkers. The remaining samples were used as a validation dataset to evaluate the predictive accuracy for the established model. Distinct separation was obtained from an orthogonal partial least squares-discriminant analysis (OPLS-DA) model with good prediction accuracy. Based on this analysis, 39 differentiating metabolites were identified, including significantly lower levels of lysophosphatidylcholines and higher levels of
Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological explanation for these variations. Although several methods are available for pathway enrichment using experimental evidence, metabolomics does not yet have a comprehensive overview in a network layout at multiple molecular levels. We propose a novel pathway enrichment procedure for analysing summary metabolomics data based on sub-network analysis in a graph representation of a reference database. Relevant entries are extracted from the database according to statistical measures over a null diffusive process that accounts for network topology and pathway crosstalk. Entries are reported as a sub-pathway network, including not only pathways, but also modules, enzymes, reactions and possibly other compound candidates for further analyses. This provides a richer biological ...
R01ES022181. When performing untargeted metabolomics studies, which profile all metabolites in a sample, scientists often detect tens of thousands of signals. These signals were traditionally thought to indicate distinct metabolites. Using a new approach, NIEHS-funded researchers revealed that the actual number of unique metabolites in a typical metabolomics analysis may be close to one-tenth as large as previously thought.. Examining the metabolites in E. Coli, the research team looked for signals arising from contamination, artifacts, and something they called "degenerate features" - when one metabolite shows up as many different signals. They found thousands of previously unreported degenerate features, with some metabolites showing up as more than 150 signals. Removing these features reduced the number of unique analytes from approximately 25,000 to fewer than 2,961. After removing additional contaminants and other poorly resolved components from the data, they further reduced the number of ...
Neurochemical biomarkers are urgently sought in ALS. Metabolomic analysis of cerebrospinal fluid (CSF) using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy is a highly sensitive method capable of revealing nervous system cellular pathology. The (1)H-NMR CSF metabolomic signature of ALS was sought in a longitudinal cohort. Six-monthly serial collection was performed in ALS patients across a range of clinical sub-types (n = 41) for up to two years, and in healthy controls at a single time-point (n = 14). A multivariate statistical approach, partial least squares discriminant analysis, was used to determine differences between the NMR spectra from patients and controls. Significantly predictive models were found using those patients with at least one years interval between recruitment and the second sample. Glucose, lactate, citric acid and, unexpectedly, ethanol were the discriminating metabolites elevated in ALS. It is concluded that (1)H-NMR captured the CSF metabolomic signature associated
The latest market report published by Credence Research, Inc. "Metabolomics Market - Growth, Future Prospects, and Competitive Analysis, 2017-2025", the global metabolomics market was valued at US$ 621.1 Mn in 2016 and is expected to reach US$ 2,428.1 Mn by 2025, expanding at a CAGR of 15.3% from 2017 to 2025.. Market Insights. Metabolomics is the study of the chemical processes that involve small molecules known as metabolites, present within cells, tissues, biofluids or organisms. Metabolites are specific unique chemicals that are left behind in any cellular process, which can be studied for metabolite profiling. Such metabolites include amino acid, sugar, organic acids, and volatile metabolites, secondary metabolites include such as phenolic compound, alkaloids, etc.; and pigments such as anthocyanins, carotenoids, etc. Metabolomics study helps in integrating technology and the biological pathway, and understand the interaction between cellular-level interactions with the environment which ...
Metabolomics Market - Growth, Future Prospects and Competitive Analysis, 2017 - 2025, the global metabolomics market was valued at US$ 621.1 Mn in 2016, and is expected to reach US$ 2,428.1 Mn by 2025, expanding at a CAGR of 15.3% from 2017 to 2025.. Browse Full Report Click Here: http://www.acutemarketreports.com/report/metabolomics-market. Market Insights. Metabolomics is the study of chemical process that involves small molecules known as metabolites, present within cells, tissues, biofluids or organism. Metabolites are specific unique chemicals that are left behind in any cellular process, which can be studied for metabolite profiling. Such metabolites include amino acid, sugar, organic acids and volatile metabolites, secondary metabolites includes such as phenolic compound, alkaloids etc.; and pigments such as anthocyanins, carotenoids etc. Metabolomics study helps in integrating technology and the biological pathway, and understand the interaction between cellular level interactions with ...
Rapid and Highly Accurate Detection of Steryl Glycosides by Ultraperformance Liquid Chromatography−Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-TOF-MS ...
TY - JOUR. T1 - Metabolomics reveals a link between homocysteine and lipid metabolism and leukocyte telomere length. T2 - the ENGAGE consortium. AU - van der Spek, Ashley. AU - Broer, Linda. AU - Draisma, Harmen H. M.. AU - Pool, Rene. AU - Albrecht, Eva. AU - Beekman, Marian. AU - Mangino, Massimo. AU - Raag, Mait. AU - Nyholt, Dale R.. AU - Dharuri, Harish K.. AU - Codd, Veryan. AU - Amin, Najaf. AU - de Geus, Eco J. C.. AU - Deelen, Joris. AU - Demirkan, Ayse. AU - Yet, Idil. AU - Fischer, Krista. AU - Haller, Toomas. AU - Henders, Anjali K.. AU - Isaacs, Aaron. AU - Medland, Sarah E.. AU - Montgomery, Grant W.. AU - Mooijaart, Simon P.. AU - Strauch, Konstantin. AU - Suchiman, H. Eka D.. AU - Vaarhorst, Anika A. M.. AU - van Heemst, Diana. AU - Wang-Sattler, Rui. AU - Whitfield, John B.. AU - Willemsen, Gonneke. AU - Wright, Margaret J.. AU - Martin, Nicholas G.. AU - Samani, Nilesh J.. AU - Metspalu, Andres. AU - Slagboom, P. Eline. AU - Spector, Tim D.. AU - Boomsma, Dorret. AU - van ...
Global Metabolomics Market: Overview. The metabolites exist in an organism, cell, or tissue; the study related to it is referred as metabolomics. In order to understand the complete set of metabolites in a given biological system processes such as quantification, profiling, interpretation, and identification are involved. This latest field of science is gaining much popularity as it provides the complete outlook of the organelles, cells, tissues, organs, and whole organisms phenotype when compared to the protein profile, RNA, or DNA.. Request Free Sample Report @ https://www.zionmarketresearch.com/sample/metabolomics-market. Global Metabolomics Market: Segmentation. The metabolomics market is globally segmented into product and service, application, and indication. On the basis of product and service, the global market is segregated into metabolomic instruments and metabolomic bioinformatics tools and services. Further, the metabolomic instruments segment is sub-segmented into separation ...
The ASMS Fall Workshop on Metabolomics Informatics, organized by Erin Baker (North Carolina State University) and Gary Patti (Washington University at St. Louis), was held on November 29 - 30, 2018 in San Francisco, CA. Approximately 109 attendees listened to presentations by leading experts in the field of metabolomics on the state of data processing. Metabolomics is in high demand among technological specialists as well as biologists and clinicians who see the power of its application. However, although many researchers now have access to metabolomic data, the challenge of interpreting the results has created major obstacles that can prevent the full potential of metabolomics from being realized. The goal of the Workshop was to make attendees aware of the state-of-the-art informatic resources, and also to educate investigators on proper methods for reliably interpreting datasets. Eleven different scientists gave a total of 16 presentations on topics ranging from peak detection to database ...
AIMS: This study compared serum metabolites of demented patients (Alzheimers disease and vascular dementia) and controls, and explored serum metabolite profiles of nondemented individuals 5 years preceding the diagnosis.. METHODS: Cognitively healthy participants were followed up for 5-20 years. Cognitive assessment, serum sampling, and diagnosis were completed every 5 years. Multivariate analyses were conducted on the metabolite profiles generated by gas chromatography/time-of-flight mass spectrometry.. RESULTS: A significant group separation was found between demented patients and controls, and between incident cases and controls. Metabolites that contributed in both analyses were 3,4-dihydroxybutanoic acid, docosapentaenoic acid, and uric acid.. CONCLUSIONS: Serum metabolite profiles are altered in demented patients, and detectable up to 5 years preceding the diagnosis. Blood sampling can make an important contribution to the early prediction of conversion to dementia.. ...
Metabolomics, the scientific study of small molecules produced from metabolism, is a rapidly expanding area of research that enables scientists to better understand the physiological state of an organism and its response to different types of stimuli such as nutrients and pollutants. Preliminary research suggests that metabolomics holds promise to advance understanding of the exposome--all of the environmental compounds an individual is exposed to from conception to death. For this reason, the National Academies of Sciences, Engineering, and Medicine held a workshop to examine the potential for using metabolomics to characterize human environmental exposures and the exposome. Proofs-of-concept were discussed in two case studies on the cause of human Eosinophilic esophagitis (a chronic immune disease) and the effect of toxic pollutants on pregnancy in rats. Key workshop themes included technical capabilities and limitations to collect metabolomics data and the implications of this new source of ...
The SIPOMICS (SIgnal Processing for OMIC Sciences) research group from the Rovira i Virgili University is seeking candidates to apply for a scholarship to obtain the PhD at our research facilities located in Tarragona (Catalonia, Spain).. The position is intended for candidates with a Signal Processing, Data Analysis, Biostatistics and/or a Bioinformatics background. The thesis to be developed will focus on data processing for Omics Sciences, mainly for Metabolomics studies where Nuclear Magnetic Resonance (NMR) and GC/MS data will need to be conditioned, processed, and correlated with clinical biomarkers in order to turn raw measurement data into useful clinical information.. Candidates need to have a bachelor and a master degree to be eligible for the position.. SIPOMICS is a multidisciplinary research group formed by chemists, bio-chemists, computer and telecommunication engineers that has a direct relationship with a metabolomics platform structure (www.metabolomicsplatform.com) that ...
The application of 1H NMR complements our previous attempt to deploy FT-ICR-MS to profile changes to the metabolome of opium poppy cell cultures in response to treatment with a fungal elicitor. Several interesting comparisons can be made. First, FT-ICR-MS provided quantitative information on 992 analytes, although only about 2% of these were identified based solely on comparison with available molecular mass data and corresponding molecular formulae [8]. In contrast, information was obtained for 70% of 212 target compounds using 1H NMR metabolomics coupled with Chenomx NMR Suite. The identification of compounds based on 1H NMR spectra is more reliable than the use of molecular mass, which only provides a molecular and not a structural formula. Proton NMR also revealed abundant cellular metabolites that were not detected by FT-ICR-MS. Notable among these were several amino acids, none of which were found in the extensive molecular mass database used in our previous study [8]. In contrast, ...
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.. ...
Author Summary Urinary tract infections (UTIs) are among the most common bacterial infections treated by physicians worldwide. Although symptoms of acute infection are often resolved with a course of antibiotics, the same bacterial strain often causes subsequent bouts of symptomatic infection. Escherichia coli are the most common bacteria causing UTI and the infecting strains are widely believed to originate from the gastrointestinal tract where multiple E. coli strains reside. Here, we use a novel mass spectrometric technique in a population of patients with recurrent UTI to identify how strains that cause UTI differ from other strains that were present in the gastrointestinal tract at the same time. We found that urinary E. coli strains preferentially expressed two small molecules called yersiniabactin and salmochelin. These molecules are called siderophores, meaning they are able to scavenge iron to support bacterial survival and growth. Synthesis and transport of these small molecules requires a
To date, no targeted therapies are available to treat triple negative breast cancer (TNBC), while other breast cancer subtypes are responsive to current therapeutic treatment. Metabolomics was conducted to reveal differences in two hormone receptor-negative TNBC cell lines and two hormone receptor-positive Luminal A cell lines. Studies were conducted in the presence and
Metabolic variations occur during normal pregnancy to provide the growing fetus with a supply of nutrients required for its development and to ensure the health of the woman during gestation. Mass spectrometry-based metabolomics was employed to study the metabolic phenotype variations in the maternal plasma that are induced by pregnancy in each of its three trimesters. Nontargeted metabolomics analysis showed that pregnancy significantly altered the profile of metabolites in maternal plasma. The levels of six metabolites were found to change significantly throughout pregnancy, with related metabolic pathway variations observed in biopterin metabolism, phospholipid metabolism, amino acid derivatives, and fatty acid oxidation. In particular, there was a pronounced elevation of dihydrobiopterin (BH2), a compound produced in the synthesis of dopa, dopamine, norepinephrine, and epinephrine, in the second trimester, whereas it was markedly decreased in the third trimester. The turnover of BH2 and tryptophan
TY - JOUR. T1 - Metabolomics approach to reduce the Crabtree effect in continuous culture of Saccharomyces cerevisiae. AU - Imura, Makoto. AU - Iwakiri, Ryo. AU - Bamba, Takeshi. AU - Fukusaki, Eiichiro. PY - 2018/8/1. Y1 - 2018/8/1. N2 - The budding yeast Saccharomyces cerevisiae is an important microorganism for fermentation and the food industry. However, during production, S. cerevisiae commonly uses the ethanol fermentation pathway for glucose utilization if excess sugar is present, even in the presence of sufficient oxygen levels. This aerobic ethanol fermentation, referred to as the Crabtree effect, is one of the most significant reasons for low cell yield. To weaken the Crabtree effect in fed-batch and continuous culture, sugar flow should be limited. In addition, in continuous culture, the dilution rate must be reduced to avoid washing out cells. However, under such conditions, production speed might be sacrificed. It is difficult to solve this problem with the tradeoff between cell ...
In this study, metabolite profiling analysis will be carried out on urine samples of individuals with malodor conditions related to metabolism inefficiencies. Metabolic profiles will be identified using the metabolomics equipment located in the NMR, HPLC and MS facilities of the Metabolomics Innovation Centre (TMIC). Multivariate statistical analyses will be used, as well as other approaches to mine complex data from heterogeneous sources ...
In metabolomics studies there is a clear increase of data. This indicates the necessity of both having a battery of suitable analysis methods and validation procedures able to handle large amounts of data. In this review, an overview of the metabolomics data processing pipeline is presented. A selection of recently developed and most cited data processing methods is discussed. In addition, commonly used chemometric and machine learning analysis methods as well as validation approaches are described.. ...
... is the scientific study of chemical processes involving metabolites.. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite profiles. The metabolome represents the collection of all metabolites in a biological cell, tissue, organ or organism, which are the end products of cellular processes. Thus, while mRNA gene expression data and proteomic analyses do not tell the whole story of what might be happening in a cell, metabolic profiling can give an instantaneous snapshot of the physiology of that cell. One of the challenges of systems biology and functional genomics is to integrate proteomic, transcriptomic, and metabolomic information to give a more complete picture of living organisms.. AOG research in metabolomics targets general function in anoxic waters, and specific function relative to the nitrogen cycle.. Our lab group is a charter member of the UWs ...
Genedata Expressionist® is the comprehensive software platform for MS-based metabolomics studies. It efficiently processes raw MS data from any vendor and from multiple analytical platforms (e.g. LC-MS, GC-MS) through an automated workflow-based processing system. Scalable architecture and optimized algorithms enable processing and analysis of the large multidimensional datasets generated in metabolomics. Rich visualization and sophisticated statistics facilitate analysis and interpretation of complex data.. ...
In our last episode of the season, we look at 5 recent publications in the field of toxicology. Steuer, A. et al. Identification of new urinary gamma-hydroxybutyric acid markers applying untargeted metabolomics analysis following placebo-controlled administration to humans. (2019) Drug Testing an...
Middle East and Africa Metabolomics Market(PharmaNewsWire.Com, October 12, 2017 ) The Middle East and Africa Metabolomics Market is worth USD0.14 billion in 2016 and estimated to grow at a CAGR of 32.6%, to reach USD0.56 billion by 2021. The Middle East and Africa Metabolomics market is evolving a
When undertaking research and critically judging the research of others with many variables, a key approach is use of multivariate data analysis. This online unit provides comprehensive skills essential for postgraduate students doing multivariate data analysis and for critically judging the research of others. We focus on the underlying principles you need to explore multivariate data sets and test hypotheses. In so doing, the unit provides you with an understanding of how multivariate research is designed, analysed and interpreted using statistics. The unit will cover the commonly used multivariate data analyses of principal components analysis, cluster analysis, discriminant functions analysis and non-metric multidimensional scaling, as well as parametric and permutational hypothesis testing techniques. Examples of data will be cross-disciplinary, enabling students from many disciplines to appreciate the techniques. Analyses will use the R statistical environment, furthering student skills in ...
The resulting metabolic pathway-based diagnostic model performs very well on all three testing data sets, with AUCs of 0.923, 0.995, and 0.9946 in the hold-out plasma testing samples, serum samples, and TCGA RNA-Seq set, respectively (Fig. 2a). Moreover, other statistical metrics, such as the sensitivity, specificity, MCC, and F1-statistic, are also outstanding, confirming the robustness and generality of the pathway-based model (Fig. 2b). The superior performance of the model on the serum metabolomics and TCGA RNA-Seq data sets is surprising. This may be due to the more complete lists of metabolites in the serum data set and genes in the RNA-Seq data set compared with the plasma samples. The good AUC obtained from the age-matched TCGA RNA-Seq data suggests that age is unlikely to be a driving factor leading to the accuracy of the classification from the metabolomics-based pathway-model. Nevertheless, we further examined if age is a dominant confounding factor in the metabolomics training data. ...
Metabolomics is a technology which allows us to probe a wide array of interactions between metabolites. These interactions can be revealed by statistical correlations between metabolite levels that may arise via a range of mechanisms. To measure metabolite levels, two main techniques are used: Liquid Chromatography Mass Spectrometry (LC-MS) and Nuclear Magnetic Resonance (NMR). For the measurement of correlation structure high analytical reproducibility of the assays is required. While NMR has previously been shown to be reproducible, LC-MS, has not been similarly assessed. To assess the reproducibility of LC-MS for urinary metabolomics, a multi-laboratory study was devised. We find that the technology is highly reproducible, both within and between laboratories with CVs of < 17%, < 5s drift and under 10% ppm between labs. In LC-MS, ionisation of a single compound can lead to multiple charged species such as isotopologues, adducts etc. These multiple signals have a high mutual correlation and we ...
Background Metabolomics experiments involve generating and comparing small molecule (metabolite) profiles from complex mixture samples to identify those metabolites that are modulated in altered...
Huang, S.-M., Zuo, X., Li, J. J., Li, S. F. Y., Bay, B. H. and Ong, C. N. (2012), Metabolomics Studies Show Dose-Dependent Toxicity Induced by SiO2 Nanoparticles in MRC-5 Human Fetal Lung Fibroblasts. Advanced Healthcare Materials, 1: 779-784. doi: 10.1002/adhm.201200114 ...
Hydrophilic interaction liquid chromatography (HILIC), although not a new technique, has enjoyed a recent renaissance with the introduction of robust and reproducible stationary phases. It is consequently finding application in metabolomics studies, which have traditionally relied on the stability of reversed phases (RPs), since the biofluids analyzed are predominantly aqueous and thus contain many polar analytes. HILICs retention of those polar compounds and use of solvents readily compatible with mass spectrometry have seen its increasing adoption in studies of complex aqueous metabolomes. This review describes the stationary phases and their features. surveys HILIC-LC-MSs role in metabolomics experiments, discusses approaches to data extraction and analysis including multivariate analysis, and reviews the literature on HILIC MS applications in metabolomics. (C) 2009 Wiley Periodicals, Inc., Mass Spec Rev 29:671-684, 2010 ...
Metabolomic technologies are increasingly being applied to study biological questions in a range of different settings from clinical through to environmental. As with other high-throughput...
The global metabolomics market is currently witnessing strong growth. Metabolomics refers to the large-scale study of metabolites, or small molecules, in cells, biofluids, tissues and organisms. It is an analytical approach for systematic metabolic profiling and fingerprinting in various biological samples and systems. It consists of various detection techniques, such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS), along with separation techniques, such as gas chromatography. These techniques are commonly used for metabolome studies, toxicology testing and developing personalized medicine. They also provide an assessment of health and an insight into the causes and treatment of medical ailments, such as cardiovascular and neurological diseases and cancer.. The increasing prevalence of cancer and other chronic diseases is one of the key factors driving the growth of the market. Furthermore, a significant increase in the pharmaceutical industry, along with the rising ...
The present study is the first to utilize metabolomic analysis in umbilical cord blood samples from LBW children in order to identify metabolites that could be related to the abnormalities associated with the long-term development of the increased cardio-metabolic risk associated with LBW. The metabolomic profile of LBW newborns differed from that observed in a group of newborn controls. Higher values of phenylalanine and citrulline and lower levels of proline, choline, glutamine, alanine and glucose were observed. A significant relationship between some of these metabolites and birth weight was also present. Furthermore, the differences observed in the newborns were not observed in their mothers, all of whom were healthy and had similar weight gains during pregnancy. Although the significance of the observed metabolomic values is not well understood, interesting information can be derived from the present results since some of the observed data have been linked previously to the abnormal ...
Weaning is a stressful event and is associated with intestinal distress and increased exposure to enteric pathogens from feed and the environment [1, 4]. To model such stressful conditions, the piglets in this study, which were genetically susceptible to E. coli F18, were weaned and challenged with E. coli F18. Weaning has been associated with changes of the metabolism of piglets [3, 9]. To study the metabolic changes in piglets during the period after weaning, we conducted an LC-MS-based metabolomic analysis of the plasma from piglets, collected at different time points after weaning. As shown in the PCA scores plot, there was a separation between the metabolic profiles according to the days after weaning, indicating changes in the metabolic patterns of the piglets during the postweaning period. The first week (5-7 d) after weaning is considered the most stressful period for piglets, when intestinal dysfunction and changes in the metabolism can occur [3, 11]. Consistent with this assumption, a ...
Microbial metabolites and colon cancer. Colon cancers that present on the right versus the left side of the colon have significantly worse prognosis for the patient. A recent discovery revealed that right-sided colon cancers (RCCs) harbor mucosal bacterial biofilms, whereas left-sided colon cancers (LCC) are predominantly devoid of biofilms. These biofilms are associated with increased cellular proliferation and inflammation even in normal colon tissues. Using mass spectrometry-based metabolomics, we investigated the metabolism of colon cancers with and without biofilms, and observed a correlation between increased diacetylspermine production and biofilm presence on RCCs. Using antibiotic treatment, IHC, and stable isotope-assisted metabolomics we showed that diacetylspermine is an end product of polyamine metabolism produced by bacterial biofilms. We thus hypothesized that microbiota use host-derived polyamines to form biofilms. It is still not known why biofilms only form only on RCC, but it ...
Call me a nerd, but I have to admit that I am pretty excited about metabolomic technology. Uh, what? Metabolomics is the study of the chemical fingerprints that cells leave behind. It does not look at genes, DNA, RNA or proteins, but is a peek into the products or metabolites that result from all this genetic orchestration. It is a "physiological snapshot" of a living cell.. This past week, we published a study that applies metabolomics to male infertility. If you have been reading this column, you are well aware of my interest in helping sterile men become fathers. Over the last decade, it has become clear that many men with azoospermia (no ejaculated sperm) may have small pockets of sperm in the testicle. The question is how to safely find that sperm without causing undo harm to the testicle. Current methods for evaluating whether sperm are present include somewhat invasive techniques such as testicular biopsy and microdissection and less invasive ones such as FNA Sperm Mapping that I invented ...
Metabolite profiling has been a valuable asset in the study of metabolism in health and disease. Utilizing normal-phased liquid...
Metabolomic Profiling of Neurospora crassa Fungi Using HILIC and Reversed-Phase LC-MS with high-resolution Ascentis Express HPLC columns.
Ong, E.S., Chor, C.F., Zou, L., Ong, C.N. (2009). A multi-analytical approach for metabolomic profiling of zebrafish (Danio rerio) livers. Molecular BioSystems 5 (3) : 288-298. [email protected] Repository. https://doi.org/10.1039/ ...
2019) Untargeted gas chromatography-mass spectrometry-based metabolomics analysis of kidney and liver tissue from the Lewis Polycystic Kidney rat. Journal of Chromatography B, 1118-1119 . pp. 25-32. Kemp, M.W., Saito, M., Schmidt, A.F., Usuda, H., Watanabe, S., Sato, S., Hanita, T., Kumagai, Y., Takahashi, T., Musk, G.C., Furfaro, L., Stinson, L., Fee, E.L., Eddershaw, P.J., Payne, M.S., Smallwood, K., Bridges, J., Newnham, J.P. and Jobe, A.H. ...
The West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC) will offer integrated services through a Metabolomics Central Service Core, and offer a...
The Netherlands Metabolomics Centre focusses on the development of metabolomics based technologies and instrumentation to address the current and future challenges in biology, biotechnology and biomedical research in order to improve personalised health and quality of life ...
The Swiss Metabolomics Society offers three grants to support PhD students and postdocs to attend the 15th Annual Conference of the Metabolomics Society that will be held in Hague, June 23-27. The grant may cover up to 300 CHF of travel expenses ...