Dissertations / Theses: 'Metabolomic chemistry'

1

Pesko, Bogumila Katarzyna. "Estimation of time since death using comparative proteomic and metabolomic approaches." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8179/.

Full text

Abstract:

The success of forensic investigation very often depends on the establishment of the correct timeline of events. In the investigation of fatalities, this depends greatly on the estimation of the time since death of the victim. Current methods lead to inaccurate results and depend greatly on the experience of the investigator. Pathologists estimate the time since death based on visual inspection of the bodies as well as body temperature measurement. Only very short post-mortem intervals (PMIs) can be evaluated with some degree of certainty. This investigation used untargeted proteomic and metabolomic approaches to identify potential molecular markers (proteins, metabolites) which could help to quantify post-mortem changes and aid PMI estimation. Animal models were used in the initial stages of the project. Aged beef meat (stored at 4°C for 13 days) and rat muscle samples (intact cadavers stored at ambient temperature for 3 days) were sampled at 24 h time intervals. In the final stages of the project, human tissue samples were collected at the Forensic Anthropology Centre at Texas State University (San Marcos, Texas). Muscle samples were collected at various times post-mortem from 6 different subjects over the period of two weeks. For the proteomics experiment, 0.5g of tissue was homogenized in extraction buffer consisting of urea, thiourea and 3-((3-cholamidopropyl) dimethylammonio)-1-propanesulfonate (CHAPS). Protein separation was carried out using two-dimensional gel electrophoresis. Protein identification was performed using liquid chromatography-tandem mass spectrometry. For the metabolomics experiment, 0.5g of tissue was homogenized in chloroform/methanol/water solution. The extracted samples were analysed using liquid chromatography-mass spectrometry as well as gas chromatography – mass spectrometry. The investigation allowed the identification of potential biomarker candidates. The proteins of interest varied between the sampled mammals. However, myosin and actin appear as promising candidates for all three species. The metabolomics experiments yielded a large number of possible biomarker candidates. Both liquid and gas chromatography approaches were successfully applied, pointing towards various compounds. Proteogenic amino acids were identified as main compounds of interest in all species using both methods. The study has shown that both proteomic and metabolomic approaches can be successfully applied in forensic medical science and can help to find PMI markers. Using the untargeted approach gives the advantage of looking at a whole range of detected molecules and choosing the most appropriate ones for the task. Furthermore, the combination of these two approaches gives a deeper insight into the post-mortem biological processes. The biomarker candidates proposed in this study require further validation in a larger cohort of subjects.

APA, Harvard, Vancouver, ISO, and other styles

2

Wipulaguna, M. A. Anushika Shiromi. "Use of metabolomic studies to understand the chemical role of ETHE1 in Arabidopsis thaliana." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1417604333.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Jaeger, Frederick Howard. "Simplified Plant Sample Preparation for use in Gas Chromatography-Mass Spectrometry (GC-MS) Based Metabolomic Profiling and Targeted Analyte Quantitation." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-02202008-155316/.

Full text

Abstract:

A simple, fast, reproducible and less laborious sample preparation protocol was developed for the analysis of Arabidopsis thaliana using Gas chromatography coupled with mass spectrometry (GC-MS). In particular, a semi-automated machine tool is used to replace the traditional mortar-pestle method in tissue grinding. One-pot chemical extraction-derivatization is used to provide simplified sample preparation over the conventional multi-step liquid-liquid extraction protocol. Wild-type and transgenic Arabidopsis thaliana seedlings were used as the model system to evaluate performance of this newly developed method for use in metabolic profiling and also targeted quantitative analysis of salicylic acid for the study of systemic acquired resistance.

APA, Harvard, Vancouver, ISO, and other styles

4

Taraboletti, Alexandra Anna. "Chemical and Metabolomic Analyses of Cuprizone-Induced Demyelination and Remyelination." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1498535047689141.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Vincent, Isabel May. "Using metabolomic analyses to study mode of action of and resistance to Eflornithine in Trypanosoma brucei." Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/3125/.

Full text

Abstract:

Human African trypanosomiasis (HAT) is a disease that is in desperate need of new pharmacological agents active against the causative parasite, the flagellated protozoan Trypanosoma brucei. In this thesis, new metabolomics techniques have been developed to study pathways in response to drug action with the aim of defining the mode of action of current and future drugs. Eflornithine, a polyamine pathway inhibitor, was used as a proof of principle, revealing both expected changes that correlate well with the literature and unexpected changes that lead to pathways and metabolites not previously described in bloodstream form trypanosomes. One metabolite not previously described in trypanosomes is acetylornithine, whose levels correlate well with ornithine and whose production comes directly from ornithine transported from the medium. Nifurtimox and the nifurtimox- eflornithine combination therapy were assayed for changes to their metabolomes revealing changes in nifurtimox treatment that included alterations to sugar and purine levels. The combination therapy had reduced changes to some metabolites compared to each drug in isolation suggesting reasons for the combination‟s lack of synergy. Isotopically labelled metabolites were also of use in determining flux through the pathways identified as being affected by drug perturbation. These techniques, along with other biochemical techniques, were used to show arginase activity is absent in bloodstream form trypanosomes and that ornithine is not made from arginine when ornithine is present in the medium. Arginine can, however, be used to produce ornithine through an arginase-independent mechanism when exogenous ornithine is lacking. Evidence is also provided that parts of the pentose phosphate pathway, not thought to be active in bloodstream form trypanosomes, may still be active in in vitro grown cells. A mechanism of resistance to eflornithine involving the deletion of an amino acid transporter that is able to transport eflornithine is also described. It is hoped that simple PCR-based tests for this resistance mechanism will be of use in resistant foci in prescribing appropriate drugs to HAT patients.

APA, Harvard, Vancouver, ISO, and other styles

6

Thomas, Éric. "Stratégies de marquage chimiospécifique et bioorthogonale pour l’analyse métabolomique des rétinoïdes." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAF052.

Full text

Abstract:

Ce travail est composé de trois projets. Le premier projet a pour objectif de découvrir de nouveaux métabolites de la vitamine A. Il a consisté en la synthèse d’un analogue du rétinaldéhyde, portant une fonction azoture et permettant de suivre son devenir in vivo. Le second projet a consisté en l’élaboration de la sonde ATPP permettant l’analyse de l’ensemble des métabolites aldéhydiques d’un échantillon. La sonde permet un gain de sensibilité en LS-MS². Une analyse de sa biodistribution a été faite, et montre que la sonde ATPP, après injection intrapéritonéale, est distribuée in vivo. Concernant le troisième projet, un réactif de couplage homobifonctionnel « thiol-thiol » a été élaboré. Les produits du couplage ont montré une excellente stabilité plasmatique. Le réactif a d’abord été appliqué avec succès au couplage de petites molécules, puis au couplage d’un oligonucléotide modifié et d’un peptide
This work consists of three projects. The first project aims to discover new metabolites of vitamin A. An analog of retinaldehyde, carrying an azide function was synthesized. It would allow to follow its fate in vivo. The second project consisted in the development of a probe allowing the analysis of all the aldehyde metabolites in a sample. The probe provides sensitivity gain in LS-MS². An analysis of its biodistribution has been done, and showed the ATPP probe is distributed after an intraperitoneal injection. Concerning the third project, a homobifunctional coupling reagent "thiol-to-thiol" has been developed. The coupling products showed excellent plasma stability. The reagent was first successfully applied to the coupling of small molecules and then to the coupling of a modified oligonucleotide and a peptide

APA, Harvard, Vancouver, ISO, and other styles

7

Telo, Jasmin. "Conditioning of chromatographic systems prior to metabolomic studies : Investigation of the conditioning effect and the possibility to alter it." Thesis, Uppsala universitet, Avdelningen för analytisk farmaceutisk kemi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324642.

Full text

Abstract:

The conditioning effect in metabolomic studies is the phenomenon of initial variation of analytical results in the first 5-10 injections of a biological sample in chromatographic systems. The deviation manifests itself as a drift in retention time, peak area and in multivariate analysis. It is a major quality assurance problem in the metabolomic field and if not accounted for would result in high analytical variance. The aim of this study was to investigate the conditioning effect and to gain further knowledge about it. The study was carried out on UPLC of hydrophilic liquid chromatography (HILIC) type coupled to quadrupole time of flight (QTOF) MS. A systematic study was designed to investigate the effects of the age of the analytical column. An investigation into certain matrix components as a possible cause of the conditioning effect was made. Different sample preparation methods were investigated. One result showed that no conditioning could be seen and the system appeared stable from the first injection. Differences in sample composition between samples with conditioning effect and samples without conditioning effect were investigated. No correlation between conditioning effect and levels of certain matrix compounds could be found. More studies of correlation between sample composition and the amount of conditioning occurring is needed. Some samples appear to have no retention time drift but have a significant drift in peak area and in multivariate analysis. This is an indication that the conditioning effect should be analysed in more ways than one before determining if a system is stable.

APA, Harvard, Vancouver, ISO, and other styles

8

Bentley, Joanne. "Comparative metabolomic profiling of phenolics in the desiccation-tolerant “resurrection plant” Myrothamnus flabellifolia (Myrothamnaceae) using conventional and green chemistry-based solvent systems." Doctoral thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/30437.

Full text

Abstract:

Myrothamnus flabellifolia (Myrothamnaceae) belongs to a group of ±300 angiosperm species known as “resurrection plants” that exhibit vegetative desiccation tolerance. They are able to survive dehydration to an air-dry state, tolerating up to 95% cellular water loss for a prolonged period of time followed by the rapid recovery of metabolism in the tissues within 24–72 h of rehydration. Prolonged cellular water loss is deleterious and is associated with the production of reactive oxygen species (ROS), which causes cellular degeneration, and ultimately, death. Resurrection plants have evolved various strategies to ameliorate this damage, including biochemical, ultrastructural, and anatomical modifications. Myrothamnus flabellifolia is widespread across southern Africa, and within its range it occurs in regions that experience high, moderate, and low rainfall; the low rainfall region also being associated with longer dry periods. Myrothamnus flabellifolia has historically been used for the treatment of chest infections, uterine pain, and gingivitis, and, more recently, has been shown to exhibit various phytochemical activities relating to the potential inhibition of diabetes, reverse transcriptases, and microbes. Previous studies have found M. flabellifolia extracts to contain high levels of polyphenolic compounds, which act as protectants against the ROS-induced damages caused by prolonged periods without moisture. However, a global assessment of the phenolic constituents, including anthocyanins, present in M. flabellifolia from across its geographic range is currently lacking. As the biosynthesis of compounds is likely to be subject to a fair amount of environmental control, an evaluation of the molecules present in this species from across its geographic range is warranted. Thus, in this study, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) metabolomics approach was used to screen for phenolic compounds, including anthocyanins, from leaf material sampled in the field from eight populations representing the western, southern, and eastern range of the species distribution. Putative phenolic compounds were identified based on their MSE spectra in the negative ionisation and positive ionisation (for anthocyanins) modes. Their potential roles in the ROS-scavenging capacity of this plant were also discussed. Using this information, multivariate statistics were used to compare the phenolic profiles of the different populations in order to ascertain whether plants from the different regions were associated with any particular phenolic signature, and this was also evaluated against a phylogenetic hypothesis for species relationships based on three non-coding chloroplastic markers. Additionally, a preliminary green chemistry-based extraction protocol using Natural Deep Eutectic Solvents was also used to further screen for phenolic compounds, and this was compared against the conventional organic solvent system. Several phenolic compounds not previously detected in M. flabellifolia were putatively identified, many of which, based on an assessment of the literature, are associated with high antioxidant activity. The phylogenetic analyses suggested that the Namibian plants are more highly diverged than the South African and Malawian plants. The metabolomics analysis corroborated the DNA analysis, in that the most differentially expressed ions in the Namibian population were able to discriminate these samples from both the Malawian and South African samples. While the phenolic profiles of the samples collected from the same countries were similar, there was reasonable withinpopulation variability in those collected from South Africa and Malawi. Conversely, the Namibian samples exhibited far less variability, suggesting that a particular suite of protective compounds may be required for survival in that comparatively drier region. A Natural Deep Eutectic Solvent-based system successfully targeted phenolics in M. flabellifolia and thus constitutes a potential future green chemistry solution for phytochemical investigations in medicinal plants.

APA, Harvard, Vancouver, ISO, and other styles

9

Porter, Sarah Elizabeth Graham. "Chemometric Analysis of Multivariate Liquid Chromatography Data: Applications in Pharmacokinetics, Metabolomics, and Toxicology." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/1156.

Full text

Abstract:

In the first part of this work, LC-MS data were used to calculate the in-vitro intrinsic clearances (CLint) for the metabolism of p-methoxyrnethamphetamine (PMMA) and fluoxetine by the CYP2D6 enzyme using a steady-state (SS) approach and a new general enzyme (GE) screening method. For PMMA, the SS experiment resulted in a CLint of 2.7 ± 0.2 µL pmol 2D6-1min-1 and the GE experiment resulted in a CLint of 3.0 ± 0.6 µL pmol 2D6-1min-1. For fluoxetine, the SS experiment resulted in a CLint of 0.33 ± 0.17 µL pmol 2D6-1min-1 and the GE experiment resulted in a CLint of 0.188 ± 0.013 µL pmol 2D6-1min-1. The inhibition of PMMA metabolism by fluoxetine was also demonstrated.In the second part of the work, target factor analysis was used as part of a library search algorithm for the identification of drugs in LC-DAD chromatograms. The ability to resolve highly overlapped peaks using the spectral data afforded by the DAD is what distinguished this method from conventional library searching methods. A validation data set of 70 chromatograms was used to calculate the sensitivity (correct identification of positives) and specificity (correct identification of negatives) of the method, which were 92% and 94% respectively.Finally, the last part of the work shows the development of data analysis methods for four-way data generated by two-dimensional liquid chromatography separations with DAD. Maize seedlings were analyzed, specifically focusing on indole-3-acetic acid (IAA) and related compounds. Window target testing factor analysis was used to identify the spectral groups represented by the standards in the mutant and wild-type chromatograms. Two curve resolution algorithms were applied to resolve overlapped components in the data and to demonstrate the quantitative potential of these methods. A total of 95 peaks were resolved. Of those peaks, 45 were found in both the mutant and wild-type maize, 16 peaks were unique to the mutants, 13 peaks were unique to the wild-types, and the remaining peaks were standards. Several IAA conjugates were quantified in the maize samples at levels of 0.3 - 2 µg/g plant material.

APA, Harvard, Vancouver, ISO, and other styles

10

Zhang, Linwen. "Emerging Methods for Single Cell Metabolomics." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10746962.

Full text

Abstract:

Single cell metabolomics provides new insights into understanding cellular heterogeneity of small molecules, and individual cell response to environmental perturbations. With high sensitivity and specificity, mass spectrometry (MS) has become an important tool for analyzing metabolites, lipids, and peptides in individual cells. Facing significant challenges, single cell and subcellular analysis by MS requires technical advances to answer fundamental biological questions, for example the phenotypic variations of genetically identical cells. The work presented in this dissertation describes my efforts to develop and apply capillary microsampling MS with ion mobility separation (IMS) for the analysis of single cells and subcellular compartments.

Chapter 1 introduces MS based analytical techniques for single cell and subcellular analysis. Recent advances of sampling and ionization methods for MS analysis of volume-limited samples are reviewed with emphasis on ambient ionization techniques, cell micromanipulation methods, and rapid gas phase separations.

In Chapter 2, the application of capillary microsampling electrospray ionization (ESI)-IMS-MS for metabolic and lipidomic analysis of single Arabidopsis thaliana epidermal cells is presented. Distinct metabolite compositions and metabolic pathways are identified among basal and pavement cells, and trichomes. These three specialized epidermal cells serve different functions in the plant leaf, and our single cell MS data reveals the corresponding metabolic pathways.

In Chapter 3, it describes the utilization of capillary microsampling ESI-IMS-MS for the analysis of metabolites and lipids in single human hepatocellular carcinoma cells. Cellular physiological states and their heterogeneity in response to xenobiotics treatment, and lipid turnover rates are explored. Here, IMS helps to enhance molecular coverage, facilitate metabolite and lipid identification, resolve isobaric ions, and minimize background interference. Comparing cells affected by metabolic modulators to unaffected counterparts reveals dramatic reduction in the availability of energy in the former.

In Chapter 4, the combination of fluorescence microscopy with capillary microsampling ESI-IMS-MS for selective analysis of identified cell subpopulations at a single cell level is demonstrated. Molecular differences and heterogeneity corresponding to cells in distinct mitotic stages are explored. Pairwise correlations between relative metabolite levels among individual mitotic cells are also studied.

In Chapter 5, the subcellular distributions of neuropeptides in individual identified neurons are explored by capillary microsampling ESI-IMS-MS. Distinct peptide distributions between the cytoplasm and nucleus are revealed. Mass spectra provide direct evidence for high abundance of these peptides in the nucleus despite the scarcity of immunostaining results supporting their presence there. A new neuropeptide is discovered and sequenced by MS in a single cell.

In Chapter 6, the current state of single cell and subcellular metabolomics is discussed. Major challenges include the low-throughput of current sampling techniques, low molecular coverage of metabolites, lipids and peptides, and external perturbations introduced by the sampling and ionization processes. In addition to exploring new solutions to these challenges, future advances will lead to the development of systems biology at the single cell level, to nano- and micro-fabricated tools to study perturbations in a lab-in-a-cell framework, and to coupling with optical manipulations and microfluidic techniques to investigate subcellular heterogeneity.

APA, Harvard, Vancouver, ISO, and other styles

11

Huang, He. "Mass Spectrometry-Based Metabolomics: Platform Development and Application to Neurodegenerative Disease." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1496678565947565.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Vinayavekhin, Nawaporn. "Metabolomics Strategies for Discovery of Biologically Active or Novel Metabolites." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10150.

Full text

Abstract:

Along with genes and proteins, metabolites play important roles in sustaining life. There remains much to be learned about the in vivo roles of metabolites. Metabolomics is a comparative tool to study global metabolite levels in samples under various conditions. This dissertation describes the development and application of metabolomics strategies for discovery of biologically active or novel metabolites with priori knowledge about genes, proteins, or phenotypes. The power of metabolomics for discovery of novel metabolites from genes is demonstrated through the work with the pyochelin (pch) gene cluster. Comparison of the extracellular metabolomes of pch gene cluster mutants to the wild-type Pseudomonas aeruginosa (strain PA14) identified 198 ions regulated by the pch genes. In addition to known metabolites, a pair of novel metabolites were characterized as 2-alkyl-4,5-dihydrothiazole-4-carboxylates (ATCs). Subsequent assays revealed that ATCs bind iron and that their production is regulated by iron levels and dependent on pchE gene in the pch gene cluster. Metabolomics can also facilitate discovery of active metabolites from proteins, as shown in the work with orphan nuclear receptor Nur77. We applied a metabolomics platform for detected protein-metabolite interactions to identify lipids that bind to Nur77. Using this approach, we discovered that the Nur77 ligand-binding domain (Nur77LBD) enriched unsaturated fatty acids (UFAs) in tissue lipid mixtures. Subsequent biophysical and biochemical assays indicate that UFAs bind to Nur77LBD to cause changes in the conformation and oligomerization of the receptor. Last, analogous to classic fractionation experiments, metabolomics can also be applied to discover active metabolites from phenotypes. Using combination of genetics, biochemistry, and metabolomics, we identified three phenazine compounds produced by Pseudomonas aeruginosa that are toxic to the nematode Caenorhabditis elegans. 1-hydroxyphenazine, phenazine-1-carboxylic acid (PCA), and pyocyanin are capable of killing nematodes in a matter of hours. 1-hydroxyphenazine is toxic over a wide pH range, whereas the toxicities of PCA and pyocyanin are strictly pH-dependent at non-overlapping pH ranges. The diversity within a class of metabolites can be used to modulate bacterial toxicity in different environmental niches.
Chemistry and Chemical Biology

APA, Harvard, Vancouver, ISO, and other styles

13

Brinzer, Robert Adolf. "Drosophila, metabolomics and insecticide action." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/7072/.

Full text

Abstract:

The growing problem of insecticide resistance is jeopardising current pest control strategies and current insecticide development pipelines are failing to provide new alternatives quickly enough. Metabolomics offers a potential solution to the bottleneck in insecticide target discovery. As a proof of concept, metabolomics data for permethrin exposed Drosophila melanogaster was analysed and interpreted. Changes in the metabolism of amino acids, glycogen, glycolysis, energy, nitrogen, NAD+, purine, pyrimidine, lipids and carnitine were observed along with markers for acidosis, ammonia stress, oxidative stress and detoxification responses. Many of the changed metabolites and pathways had never been linked to permethrin exposure before. A model for the interaction of the observed changes in metabolites was proposed. From the metabolic pathways with the largest changes, candidate genes from tryptophan catabolism were selected to determine if the perturbed pathways had an effect on survival when exposed to permethrin. Using QPCR it was found that all genes in the entire pathway were downregulated by permethrin exposure with the exception of vermilion suggesting an active response to try and limit flux through tryptophan catabolism during permethrin exposure. Knockdown of the tryptophan catabolising genes vermilion, cinnabar and CG6950 in Drosophila using whole fly RNAi resulted in changes in susceptibility to permethrin for both topical and oral routes of exposure. Knockdown of the candidate genes also caused changes in susceptibility when the insecticides fenvalerate, DDT, chlorpyriphos and hydramethylnon were orally administered. These results show that tryptophan catabolism knockdown has an effect on surviving insecticides with a broad range in mode of action. Symptoms that occur in Drosophila during exposure to the different insecticides were also noted. To gain further understanding into the mechanisms affecting survival, tissue specific knockdown was performed revealing tissue and gender specific changes in survival when vermilion, cinnabar and CG6950 are knocked down. Metabolomics was performed on the knockdown strains to determine the efficacy of the knockdowns on tryptophan catabolism and to identify any knock-on effects. The results indicate that tryptophan metabolite induced perturbations to energy metabolism and glycosylation also occur in Drosophila along with apparent changes in the absorption of ectometabolites. As the knockdown of vermilion, cinnabar and CG6950 tended to result in reduced susceptibility to insecticides, they would make poor targets for insecticidal compounds, however, they may be the first examples of genes that are not directly involved in insecticide metabolism or cuticle synthesis that increase insecticide tolerance in Drosophila. As the first metabolomics data set showed evidence for oxidative stress during permethrin exposure, preliminary work was begun for identifying the tissue specificity and timing of oxidative stress in both Dipterans and Lepidopterans using Drosophila and Bombyx mori as models. In Drosophila oxidative stress did not begin immediately suggesting that the insecticide itself is not a cause, however, a rapid increase in oxidative stress occured over a six hour period after a day of oral exposure implicating catabolites of permethrin. Bombyx were highly susceptible to permethrin showing oxidative stress in the Malpighian tubule and silk gland when exposed. This study has shown that metabolomics is highly effective at identifying pathways which modulate survival to insecticide exposure. It has also brought insight into how insecticide induced pathology may cause death. Data has also been generated which could help characterize the putative transaminase CG6950.

APA, Harvard, Vancouver, ISO, and other styles

14

Zhong, Fanyi. "DEVELOPMENT AND APPLICATIONS OF HPLC-MS/MS BASED METABOLOMICS." Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1524792637748877.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Campo, Angela M. "NMR Metabolomics for Optimizing Cell-Free Protein Synthesis." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1622590610517316.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Duffy, Kate I. "Application of metabolomics to the analysis of ancient organic residues." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5670/.

Full text

Abstract:

The grape is arguably one of the oldest cultivated products in human history and the analysis of its main product, wine, reveals clues to trade and associations of previous civilizations. In ancient times, wine was stored in clay amphorae, which, if not properly sealed with resin or pitch allowed the wine to wick into clay matrices, dry, and polymerize producing insoluble, intractable materials that may remain within the matrix for several thousand years. Presently, identification of wine residue is based upon the extraction of these polymeric materials from the ceramic matrix and analyzing/identifying the chemical fingerprints. Two main biomarkers have historically been employed for the identification of wine residue: tartaric and syringic acids. In some cases, the presence of one of these biomarkers has been designated as the confirmatory signature of wine often leading to false positives as amphorae were re-used in antiquity. Herein, a novel approach utilizing metabolomics has been applied to archaeological objects in order to further mine possible biomarkers for a more accurate assessment of the original foodstuff. An untargeted metabolic profiling method was combined with a targeted analytical method resulting in the successful validation of eight representative biomarkers in two separate archaeological sites.

APA, Harvard, Vancouver, ISO, and other styles

17

Vaniya, Arpana. "Combining Experimental and In Silico Methods for Comprehensive Compound Dereplication of Natural Products for Mass Spectrometry Based Metabolomics." Thesis, University of California, Davis, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10624215.

Full text

Abstract:

Metabolomics is a rapidly growing field in “omics” research where metabolites are analyzed in biological systems. Over the past decade, mass spectrometry (MS) based metabolomics has been used for its superior analytical performance to reveal how these biological systems respond to genetic and environmental changes. MS is both sensitive and selective and is capable for providing comprehensive information for metabolic profiling by combining separation methods such as liquid chromatography (LC-MS) or gas chromatography (GC-MS). However, in untargeted metabolomics identification of small molecules is the bottleneck. In the research described here, I have combined both in silico and experimental methods for compound dereplication of natural products using MS-based metabolomics.

Chapter 1 addresses the advancement of fragmentation and mass spectral trees used for unknown metabolite identification. Tools used for metabolite identification from the past 10 years are discussed, including algorithms, software, mass spectral libraries, and databases that implement fragmentation and mass spectral trees. Due to the inherent complexity of natural products in plants and microbes, unknown compound identification is increasingly difficult and limiting. Resolving this problem requires better computational tools and informative data such as those acquired by multi-stage mass spectrometry (MSⁿ). MSⁿ yields more fragmentation data and allows for more complex structural elucidation as needed for compounds with positional isomers. The limitation with using tandem mass spectrometry (MS/MS) only is that many ions are shared between positional isomers and full structural information is not available to elucidate an unknown metabolite. Fragmentation and mass spectral trees both describe the fragmentation processes of a metabolite and aid in fragmentation rule generation and substructure identification. The major difference between fragmentation and mass spectral trees is that fragmentation trees use elemental compositions to describe the fragmentation process and mass spectral trees or ion trees use precursor and product ion spectra from MSⁿ mass spectral acquisition. As a result, there has been a large increase in efforts to develop MS^{n > 2} data and tools for both structure elucidation and spectral annotations with the use of fragmentation and mass spectral trees in recent years.

Chapter 2 describes research and development of iTree, a MSⁿ mass spectral tree library of plant natural products and its aid in compound identification of natural products. In metabolomics, mass spectral library searching is a standard method for compound identification, correctly known as compound dereplication. Mass spectral libraries are either freely or commercially available and can contain both experimental and in silico MS/MS reference spectra. The coverage of MS^{n > 2} reference spectra is much smaller in many of these MS/MS libraries and databases. To date the largest MS^{n > 2} libraries are HighChem and mzCloud, which also support mass spectral trees. The chemical coverage of such libraries and databases are very low in comparison to the number of known compounds. iTree was developed to expand the coverage of fragmentation spectra for natural products. iTree contains more than 2,000 natural products and more than 9,000 ion tree spectra annotated with in silico generated substructures from both Mass Frontier 7.0 and CFM-ID. iTree is freely available through MassBank of North America (MoNA), an open-access mass spectral database. As a result of the high number of natural products, and specifically flavonoid aglycones, previously published fragmentation rules were studied and validated. A new rule for flavanonols was proposed as a loss of –CCO to occur specifically for this class. In addition, iTree was used to profile secondary metabolites in the roots and nodules of the host plant Datisca glomerata. More than 100 natural products were identified by combining LC-MSⁿ, high resolution LC-MS/MS, and ion tree analysis using iTree. Overall, iTree has shown to provide a method to facilitate metabolite identification for plant natural products.

Although MS^{n > 2} data is more useful for complex structural elucidation, the predominant data used in untargeted metabolomics is MS/MS. For this reason, in silico tools that focus on the interpretation of MS and MS/MS spectra alone must be evaluated. In Chapters 3 through 5, I discuss how the Critical Assessment of Small Molecule Identification (CASMI) has allowed for such an evaluation by presenting unknown challenge data sets to the metabolomics community to evaluate the tools and methods they currently use for unknown compound identification. The results submitted by each user are compared and discussed to provide greater insight into how in silico tools can be further improved to aid in the advancement and accuracy of unknown compound identification methods.

Chapter 3 focuses specifically on the performance of MS-FINDER, a software that uses MS and MS/MS spectra for structural elucidation of unknown compounds, presented in the CASMI 2016 Category 1. (Abstract shortened by ProQuest.)

APA, Harvard, Vancouver, ISO, and other styles

18

Stipetic, Laurence Harry. "Metabolomics as a tool to explore the staphylococcal biofilm." Thesis, University of Glasgow, 2016. http://theses.gla.ac.uk/7377/.

Full text

Abstract:

Orthopaedic infections can be polymicrobial existing as a microbiome. Infections often incorporate staphylococcal species, including Staphylococcus aureus. Such infections can lead to life threatening illness and implant failure. Furthermore, biofilm formation on the implant surface can occur, increasing pathogenicity, exacerbating antibiotic resistance and altering antimicrobial mechanism of action. Bacteria change dramatically during the transition to a biofilm growth state: phenotypically; transcriptionally; and metabolically, highlighting the need for research into molecular mechanisms involved in biofilm formation. Metabolomics can provide a tool to analyse metabolic changes which are directly related to the expressed phenotype. Here, we aimed to provide greater understanding of orthopaedic infection caused by S. aureus and biofilm formation on the implant surface. Through metagenome analysis by employing: implant material extraction; DNA extraction; microbial enrichment; and whole genome sequencing, we present a microbiome study of the infected prosthesis to resolve the causative species of orthopaedic hip infection. Results highlight the presence of S. aureus as a primary cause of orthopaedic infection along with Enterococcus faecium and the presence of secondary pathogen Clostridium difficile. Although results were hindered by the presence of host contaminating DNA even after microbial enrichment, conclusions could be made over the potential increased pathogenicity caused by the presence of a secondary pathogen and highlight method and sample preparation considerations when undertaking such a study. Following this finding, studies were focused on an orthopaedic clinical isolate of S. aureus and a metabolome extraction method for staphylococcal biofilms was developed using cell lysis through bead beating and solvent metabolome extraction. The method was found to be reproducible when coupled with liquid chromatography-mass spectrometry (LC-MS) and bioinformatics, allowing for the detection of significant changes in metabolism between planktonic and biofilm cultures to be identified and drug mechanism of actions (MOA) to be studied. Metabolomics results highlight significant changes in a number of metabolic pathways including arginine biosynthesis and purine metabolism between the two cell populations, evidence of S. aureus responding to their changing environment, including oxygen availability and a decrease in pH. Focused investigations on purine metabolism looking for biofilm modulation effects were carried out. Modulation of the S. aureus biofilm phenotype was observed through the addition of exogenous metabolites. Inosine increased biofilm biomass while formycin B, an inosine analogue, showed a dispersal effect and a potential synergistic effect in biofilm dispersal when coupled with gentamycin. Changes in metabolism between planktonic cells and biofilms highlight the requirement for antimicrobial testing to be carried out against planktonic cells and biofilms. Untargeted metabolomics was used to study the MOA of triclosan in S. aureus. The triclosan target and MOA in bacteria has already been characterised, however, questions remain over its effects in bacteria. Although the use of triclosan has come under increasing speculation, its full effects are still largely unknown. Results show that triclosan can induce a cascade of detrimental events in the cell metabolism including significant changes in amino acid metabolism, affecting planktonic cells and biofilms. Results and conclusions provide greater understanding of orthopaedic infections and specifically focus on the S. aureus biofilm, confirming S. aureus as a primary cause of orthopaedic infection and using metabolomic analysis to look at the changing state of metabolism between the different growth states. Metabolomics is a valuable tool for biofilm and drug MOA studies, helping understand orthopaedic infection and implant failure, providing crucial insight into the biochemistry of bacteria for the potential for inferences to be gained, such as the MOA of antimicrobials and the identification of novel metabolic drug targets.

APA, Harvard, Vancouver, ISO, and other styles

19

Yang, Kundi. "Assessing and Evaluating Biomarkers and Chemical Markers by Targeted and Untargeted Mass Spectrometry-based Metabolomics." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1605044640528563.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Wang, Yu. "The Application of Metabolomics to the Evaluation of the Celllular Toxicity." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1397057769.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Cichon, Morgan Julienne. "Investigating the Role of Tomato Phytochemicals through Targeted and Untargeted Metabolomics." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1449226913.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Elmsjö, Albert. "Selectivity in NMR and LC-MS Metabolomics : The Importance of Sample Preparation and Separation, and how to Measure Selectivity in LC-MS Metabolomics." Doctoral thesis, Uppsala universitet, Avdelningen för analytisk farmaceutisk kemi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-318296.

Full text

Abstract:

Until now, most metabolomics protocols have been optimized towards high sample throughput and high metabolite coverage, parameters considered to be highly important for identifying influenced biological pathways and to generate as many potential biomarkers as possible. From an analytical point of view this can be troubling, as neither sample throughput nor the number of signals relates to actual quality of the detected signals/metabolites. However, a method’s selectivity for a specific signal/metabolite is often closely associated to the quality of that signal, yet this is a parameter often neglected in metabolomics. This thesis demonstrates the importance of considering selectivity when developing NMR and LC-MS metabolomics methods, and introduces a novel approach for measuring chromatographic and signal selectivity in LC-MS metabolomics. Selectivity for various sample preparations and HILIC stationary phases was compared. The choice of sample preparation affected the selectivity in both NMR and LC-MS. For the stationary phases, selectivity differences related primarily to retention differences of unwanted matrix components, e.g. inorganic salts or glycerophospholipids. Metabolites co-eluting with these matrix components often showed an incorrect quantitative signal, due to an influenced ionization efficiency and/or adduct formation. A novel approach for measuring selectivity in LC-MS metabolomics has been introduced. By dividing the intensity of each feature (a unique mass at a specific retention time) with the total intensity of the co-eluting features, a ratio representing the combined chromatographic (amount of co-elution) and signal (e.g. in-source fragmentation) selectivity is acquired. The calculated co-feature ratios have successfully been used to compare the selectivity of sample preparations and HILIC stationary phases. In conclusion, standard approaches in metabolomics research might be unwise, as each metabolomics investigation is often unique. The methods used should be adapted for the research question at hand, primarily based on any key metabolites, as well as the type of sample to be analyzed. Increased selectivity, through proper choice of analytical methods, may reduce the risks of matrix-associated effects and thereby reduce the false positive and false negative discovery rate of any metabolomics investigation.

APA, Harvard, Vancouver, ISO, and other styles

23

Tengstrand, Erik. "Data analysis of non-targeted mass spectrometry experiments." Doctoral thesis, Stockholms universitet, Institutionen för miljövetenskap och analytisk kemi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116820.

Full text

Abstract:

Data processing tools are valuable to the analytical chemist as they can speed up the analysis, and sometimes solve problems that are not feasible to solve in a traditional manner. However, the complexity of many data processing tools can make their use daunting for the inexperienced user. This thesis includes two applications and two tools for data processing. The first application focuses on minimizing the manual input, reducing the time required for a simple task. The second application required more manual input, in the form of parameter selection, but process far more data. The data processing tools both include features that simplify the manual work required. The first by including visual diagnostics tools that helps in setting the parameters. The second via internal validation that makes the tool’s process more robust and reliable, and thereby less sensitive to small changes in the parameters. No matter how good or precise a data processing tool is, if it is so cumbersome that it is not used by the analytical chemists that need it, it is useless. Therefore, the main focus of this thesis is to make data processing easier.

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Submitted.

APA, Harvard, Vancouver, ISO, and other styles

24

Mendez, Kevin M. "Deriving statistical inference from the application of artificial neural networks to clinical metabolomics data." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2296.

Full text

Abstract:

Metabolomics data are complex with a high degree of multicollinearity. As such, multivariate linear projection methods, such as partial least squares discriminant analysis (PLS-DA) have become standard. Non-linear projections methods, typified by Artificial Neural Networks (ANNs) may be more appropriate to model potential nonlinear latent covariance; however, they are not widely used due to difficulty in deriving statistical inference, and thus biological interpretation. Herein, we illustrate the utility of ANNs for clinical metabolomics using publicly available data sets and develop an open framework for deriving and visualising statistical inference from ANNs equivalent to standard PLS-DA methods.

APA, Harvard, Vancouver, ISO, and other styles

25

Browder, Andrew Blake Austin. "Quantitated Effects of Nutritional Supplementation on Exercise Induced Sweat." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1616769068342984.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Hrydziuszko, Olga. "Development of data processing methods for high resolution mass spectrometry-based metabolomics with an application to human liver transplantation." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3700/.

Full text

Abstract:

Direct Infusion (DI) Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry (MS) is becoming a popular measurement platform in metabolomics. This thesis aims to advance the data processing and analysis pipeline of the DI FT-ICR based metabolomics, and broaden its applicability to a clinical research. To meet the first objective, the issue of missing data that occur in a final data matrix containing metabolite relative abundances measured for each sample analysed, is addressed. The nature of these data and their effect on the subsequent data analyses are investigated. Eight common and/or easily accessible missing data estimation algorithms are examined and a three stage approach is proposed to aid the identification of the optimal one. Finally, a novel survival analysis approach is introduced and assessed as an alternative way of missing data treatment prior univariate analysis. To address the second objective, DI FT-ICR MS based metabolomics is assessed in terms of its applicability to research investigating metabolomic changes occurring in liver grafts throughout the human orthotopic liver transplantation (OLT). The feasibility of this approach to a clinical setting is validated and its potential to provide a wealth of novel metabolic information associated with OLT is demonstrated.

APA, Harvard, Vancouver, ISO, and other styles

27

Anlind, Alice. "Improvments and evaluation of data processing in LC-MS metabolomics : for application in in vitro systems pharmacology." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-329971.

Full text

Abstract:

The resistance of established medicines is rapidly increasing while the rate of discovery of new drugs and treatments have not increases during the last decades (Spiro et al. 2008). Systems pharmacology can be used to find new combinations or concentrations of established drugs to find new treatments faster (Borisy et al. 2003). A recent study aimed to use high resolution Liquid chromatography–mass spectrometry (LC-MS) for in vitro systems pharmacology, but encountered problems with unwanted variability and batch effects(Herman et al. 2017). This thesis builds on this work by improving the pipeline and comparing alternative methods and evaluating used methods. The evaluation of methods indicated that the data quality was often not improved substantially by complex methods and pipelines. Instead simpler methods such as binning for feature extraction performed best. In-fact many of the preprocessing method commonly used proved to have negative or neglect-able effects on resulting data quality. Finally the recently introduced Optimal Orthonormal System for Discriminant Analysis (OOS-DA) for batch removal was found to be a good alternative to the more complex Combat method.

APA, Harvard, Vancouver, ISO, and other styles

28

Dubrow, Geoffrey Andrew. "Understanding Complex Flavor Percepts using Flavoromics." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1566064562976072.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Chorell, Elin. "Mapping the consequenses of physical exercise and nutrition on human health : A predictive metabolomics approach." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-43844.

Full text

Abstract:

Human health is a complex and wide-ranging subject far beyond nutrition and physical exercise. Still, these factors have a huge impact on global health by their ability to prevent diseases and thus promote health. Thus, to identify health risks and benefits, it is necessary to reveal the underlying mechanisms of nutrition and exercise, which in many cases follows a complex chain of events. As a consequence, current health research is generating massive amounts of data from anthropometric parameters, genes, proteins, small molecules (metabolites) et cetera, with the intent to understand these mechanisms. For the study of health responses, especially related to physical exercise and nutrition, alterations in small molecules (metabolites) are in most cases immediate and located close to the phenotypic level and could therefore provide early signs of metabolic imbalances. Since there are roughly as many different responses to exercise and nutrients as there are humans, this quest is highly multifaceted and will benefit from an interpretation of treatment effects on a general as well as on an individual level. This thesis involves the application of chemometric methods to the study of global metabolic reactions, i.e. metabolomics, in a strategy coined predictive metabolomics. Via the application of predictive metabolomics an extensive hypothesis-free biological interpretation has been carried out of metabolite patterns in blood, acquired using gas chromatography-mass spectrometry (GC-MS), related to physical exercise, nutrition and diet, all in the context of human health. In addition, the chemometrics methodology have computational benefits concerning the extraction of relevant information from information-rich data as well as for interpreting general treatment effects and individual responses, as exemplified throughout this work. Health concerns all lifestages, thus this thesis presents a strategic framework in combination with comprehensive interpretations of metabolite patterns throughout life. This includes a broad range of human studies revealing metabolic patterns related to the impact of physical exercise, macronutrient modulation and different fitness status in young healthy males, short and long term dietary treatments in overweight post menopausal women as well as metabolic responses related to probiotics treatment and early development in infants. As a result, the studies included in the thesis have revealed metabolic patterns potentially indicative of an anti-catabolic response to macronutrients in the early recovery phase following exercise. Moreover, moderate differences in the metabolome associated with cardiorespiratory fitness level were detected, which could be linked to variation in the inflammatory and antioxidaive defense system. This work also highlighted mechanistic information that could be connected to dietary related weight loss in overweight and obese postmenopausal women in relation to short as well as long term dietary effects based on different macronutrient compositions. Finally, alterations were observed in metabolic profiles in relation to probiotics treatment in the second half of infancy, suggesting possible health benefits of probiotics supplementation at an early age.
Embargo until 2012-06-01

APA, Harvard, Vancouver, ISO, and other styles

30

Fries, Jacqueline Lee. "Chemical Investigation of Antarctic Marine Organisms & Their Role in Modern Drug Discovery." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6084.

Full text

Abstract:

The chemicals produced by biological systems, whether proteins, peptides, or terpenes, will always provide an intriguing topic for researchers. Invisibly controlling every aspect of nature, these molecules are responsible for life, evolution, and death. Specifically, here is described the secondary metabolites produced by Antarctic marine organisms as well as others, and how they are used to defend or attract other animals while potentially providing health benefits to mankind. This is done through collection, extraction, and separation of individual specimens. The respective mixtures of compounds after isolation are then analyzed via spectroscopic methods such as nuclear magnetic resonance spectroscopy, mass spectrometry, and X-ray crystallography. Once identified, these compounds are tested in biological assays to provide a hypothesis for their use in nature or evidence that there may be a use for them in medicine. For this thesis, the Antarctic organisms described are an alga, Pocamium cartilagineum, an amphipod, Paradexamine fissicauda, a sponge, Dendrilla membranosa, and one undescribed and two known deep sea coral species, Briareopsis aegeon and Plumarella delicatissima. Beyond these specific specimens, their chemistry as well as natural products from other origins were combined to create a diverse compound library for biological screening against human pathogens. This was done using computational modeling and statistical analysis of the compound library and its comparison to other known chemical libraries. The diversity and impact of these molecules are assessed.

APA, Harvard, Vancouver, ISO, and other styles

31

Nimer, Nisreen. "Mass Spectrometry as Discovery Platform for Candidate Metabolite of Non-Alcoholic Steatohepatitis (NASH)." Cleveland State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu158913072730028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Thakur, Anup P. "METABOLITE ANALYSIS OF CLOSTRIDIUM THERMOCELLUM USING CAPILLARY ELECTROPHORESIS BASED TECHNIQUES." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_diss/647.

Full text

Abstract:

Clostridium thermocellum is a thermophilic bacterium that converts biomass to ethanol directly; however, high sensitivity of this bacterium toward ethanol limits its commercial utility. To elucidate the effect of ethanol on the growth of this bacterium a metabolite analysis of C. thermocellum was performed. The hypothesis of the project was that exogenous ethanol alters the metabolite profile of C. thermocellum. For metabolite analysis, capillary electrophoresis-electrospray ionization-mass spectrometry method (CE-ESI-MS) was developed due to highly polar and charged nature of metabolites. To increase the sensitivity of CE-ESI-MS, several parameters at the ESI interface were optimized. The application of 50% isopropanol as a sheath liquid increased sensitivity for metabolite analysis dramatically. Trimethylamine acetate (pH 10) was used as background electrolyte (BGE) due to its ability to separate the structural isomers of glucose phosphate. For metabolite sample preparation, novel methods for quenching and CE compatible metabolite extraction protocols were developed. Newly developed protocols were applied to metabolite analysis of wild type (WT) and ethanol adapted (EA) strains of C. thermocellum grown in batch cultures. Significant differences were found in key intracellular metabolites such as NAD+ and pyruvic acid. Intracellular concentrations of NAD+ were low in EA cells compared to WT cells and pyruvic acid was only detected in EA cells. To further understand the effect of ethanol on metabolite fluxes, WT and EA cells were grown in increasing concentrations of ethanol and the metabolite profile for each ethanol treatment was obtained. Significant changes were found in intracellular metabolite concentrations. Metabolic data showed that the glycolysis process in WT cells was obstructed due to exogenous ethanol which was evident from accumulation of G6P. On the other hand, no such accumulation of G6P was observed in the EA strain; however pyruvate began to accumulate in EA strain. These changes in intracellular metabolite concentrations due to perturbation of exogenous ethanol supported the hypothesis. Also, this investigation revealed a correlation between ethanol and metabolite profile changes and was able to explain a possible mechanism of growth inhibition of C. thermocellum which will certainly help genetic engineers to develop superior strains of C. thermocellum for commercial cellulosic ethanol production.

APA, Harvard, Vancouver, ISO, and other styles

33

Gil, Solsona Rubén. "Desarrollo de metodologías metabolómicas no dirigidas basadas en cromatografía de líquidos de ultra alto rendimiento acoplado a espectometría de masas de alta resolución en el campo de seguridad alimentaria, sanidad y nutrición." Doctoral thesis, Universitat Jaume I, 2018. http://hdl.handle.net/10803/664774.

Full text

Abstract:

La tesis está basada en el estudio del proceso y flujo de trabajo metabolómico en diferentes ámbitos de trabajo, como la obtención de marcadores para procesos de malnutricion y/o cambios de dieta en doradas, obtención de modelos de autentificación de alimentos y la obtención de biomarcadores indirectos de consumo de canabinoides sintéticos.
The doctoral thesis is based on the study of the process and workflow of the metabolomics workflow in the different working scopes, as the ob tention of biomarkers for malnourishment and/or diet changes in sparus aurata, the obtention of food authentication models and the elucidation of indirect synthetic cannabinoid consumption biomarkers.

APA, Harvard, Vancouver, ISO, and other styles

34

Zawadzki, Andressa de. "Improving meat quality through cattle feed enriched with mate extract: an integrated approach of the metabolic profile and redox chemistry of meat." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/75/75133/tde-07022018-105415/.

Full text

Abstract:

O uso de extrato de plantas na suplementação tem sido considerado uma potencial alternativa para melhorar a estabilidade redox da carne. Alguns compostos bioativos presentes nos extratos de plantas atuam como antioxidantes e podem melhorar a saúde e o bem estar do animal e proteger a carne da oxidação. Propriedades farmacológicas e efeitos antioxidantes têm sido demonstrados em extratos de lúpulo e erva mate. Porém, os efeitos do uso de extrato de lúpulo e de erva mate como suplemento em dieta animal no perfil metabólico e na estabilidade redox da carne ainda não foram reportados. A adição de 0,5%, 1,0% e 1,5% de extrato de erva mate a uma ração composta de milho e soja destinada à alimentação de gado resultou no aumento da concentração de inosina monofosfato, creatina, carnosina e ácido linoléico conjugado na carne. A tendência à formação de radicais livres em homogenatos de carne diminuiu conforme aumentou o teor de erva mate na ração indicando um aumento da resistência da carne à oxidação. A adição de extrato de lúpulo (0, 30 ppm, 60 ppm e 240 ppm) à ração de frangos de corte promoveu efeitos significativos na concentração média de metabólitos polares que são de relevância para a qualidade da carne. As maiores diferenças nos perfis metabólicos entre o grupo controle (sem suplemento) e as amostras de carne de frango que foi alimentado com ração suplementada com β-ácidos foram obtidas usando 30 ppm de lupulonas na dieta. Como determinado pela técnica de spin-trapping, uma maior estabilidade redox foi observada nas amostras relacionadas aos animais alimentados com 30 ppm de lupulonas e podem ser relacionadas a um maior nível de antioxidantes endógenos, especialmente anserina, carnosina e NADH. Miosina e actina demonstraram ser os alvos principais da oxidação de proteínas em carne de frango. As proteínas miofibrilares de animais alimentos com β-ácidos mostraram ser menos susceptíveis à oxidação quando comparado ao grupo controle. Extratos de mate e de β-ácidos demonstraram ser aditivos promissores para dieta animal de gado e frango, respectivamente, e podem melhorar a estabilidade oxidativa, o valor nutricional, a qualidade sensorial e a aceitação da carne.
The use of plant extracts in animal feeding trials has been considered as a potential alternative to improve the redox stability of meat. Bioactive compounds from plant extracts can provide the antioxidative mechanisms required to improve animal health and welfare and, to protect meat against oxidation. Pharmacological properties and antioxidant effects have been associated to the extract of hops and to the extracts of yerba mate. However, the effects of hops and yerba mate as dietary supplement for animal feeding on the metabolic profile and the redox stability of meat have not been reported yet. Addition of extract of mate to a standard maize/soy feed at a level of 0.5, 1.0 or 1.5% to the diet of feedlot for cattle resulted in an increased level of inosine monophosphate, creatine, carnosine and of conjugated linoleic acid in the fresh meat. The tendency to radical formation in meat slurries as quantified by EPR spin-trapping decreased for increasing mate extract addition to feed especially after storage of the meat indicating an increased resistance to oxidation for meat. Addition of hops extract at different levels (0, 30 ppm, 60 ppm, 240 ppm) to the diet of broilers demonstrated to have significant effects on the averaged concentration of polar metabolites that are of relevance for meat quality. The major metabolic differences between control group (no supplements) and broilers fed different levels of β-acids were achieved using 30 ppm of supplement. As determined by EPR spin-trapping, increased redox stability was obtained in the samples referring to the animals fed 30 ppm of lupulones and may be related to the highest level of endogenous antioxidants, especially anserine, carnosine and NADH. Myosin and actin were recognized as the main targets of protein oxidation in meat. Myofibrillar proteins from animals fed with hops β-acids showed to be less susceptible to oxidation when compared to control group. Mate and hops β-acids extracts demonstrated to be promising additives to feedlot for, respectively, cattle and broilers and can improve the oxidative stability, nutritive value, sensory quality, and consumer acceptance of meat.

APA, Harvard, Vancouver, ISO, and other styles

35

Wu, Jikang Dr. "Mass Spectrometry-Based Metabolomics and Protein Native Structure Characterization to Improve Intervention in Salmonellosis and Proteomics-based Biomarker Characterization in Invasive Aspergillosis." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534775122796275.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Swensen, Adam Clayton. "Investigation of Dynamic Biological Systems Using Direct Injection and Liquid Chromatography Mass Spectrometry." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6574.

Full text

Abstract:

In biological systems, small changes can have significant impacts. It is, therefore, very important to be able to identify these changes in order to understand what is occurring in the organism. In many cases, this is not an easy task. Mass spectrometry has proven to be a very useful tool in elucidating biological changes even at a very small scale. Several different mass spectrometry based techniques have been developed to discover and investigate complex biological changes. Some of these techniques, such as proteomics, have been through years of development and have advanced to the point that anyone can complete complex analyses of global protein identification and measurement with relative ease. Other techniques are still developing and still have some ground to cover in terms of experimental outcome and ease of execution. Herein we show improvements we have made in high-throughput high-resolution mass spectrometry based techniques to identify and quantify small molecules that are involved in significant biological changes. To begin, we show that our improved high-resolution mass spectrometry based lipidomics techniques are capable of identifying small changes in diseased states that are associated with inflammation, mitochondrial shape and function, and cancer. With our techniques we have been able to extract, identify, and quantify several thousand unique lipid species from complex samples with confidence. Our initial studies looked at global lipidome profiles of differing tissue types from human and mouse biopsies. This was then adapted to compare the global lipidomes of diseased states against healthy states in asthmatic lung tissue, cigarette smoke treated cells, high fat high sugar (HFHS) stressed animals (with and without additional treatment), and in signaling lipids associated with cell death resistance and growth signaling in pancreatic cancer. As a result of our success with lipidomic method improvement we then adapted our techniques and knowledge for use in elucidating small molecule signaling peptides and oxidation changes in proteins. We were able to show that our improved liquid chromatography mass spectrometry based small molecule assays are capable of identifying and quantifying small peptides and protein modifications that would otherwise be undetectable using traditional techniques. This work resulted in the development of a scalable method to detect and quantify the small iron-regulatory hormone known as hepcidin from a variety of samples such as blood, urine, and cell-culture media. We were also instrumental in evaluating and revising a new ultra-high pressure liquid chromatography (UHPLC) system that allows for better separation of analytes from complex mixtures for identification and quantification. Through these advances we hope to aid researchers and clinicians to enable them to use mass spectrometry to further our knowledge about the small but significant changes that regulate complex biological systems.

APA, Harvard, Vancouver, ISO, and other styles

37

Homan, Edwin. "Discovery of Novel Lipid Pathways associated with the Metabolic Syndrome." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10343.

Full text

Abstract:

The prevalence of obesity and type 2 diabetes has increased at alarming rates in recent decades. These diseases are prominent components of the metabolic syndrome, which is characterized by marked dyslipidemia. Adipose tissue contributes to the development of obesity-related diabetes through increased release of hormones and non-esterified fatty acids. The development of sensitive analytical tools for the broad detection of lipid biomolecules, such as liquid chromatographymass spectrometry (LC-MS), has spurred interest in the molecular determinants of the metabolic syndrome. The development of mature adipocytes from precursor fibroblasts—adipogenesis—plays a crucial role in the expansion of adipose tissue in obesity. We profiled differentiating 3T3-L1 pre-adipocytes by LC-MS and found that a class of monoglyceride lipids, monoalkylglycerol ethers (MAGEs), was transiently elevated early in adipogenesis. Upon addition to differentiating cells, MAGE specifically promoted adipocyte maturation and expression of adipogenic gene markers, indicating that MAGEs may be signaling molecules during adipogenesis. The insulin-sensitive glucose transporter, GLUT4, is downregulated during obesity and diabetes. In collaboration with Prof. Barbara Kahn, we studied a transgenic mouse model that overexpressed GLUT4 specifically in adipose tissue (AG4OX) and was protected from developing diabetes. We used LC-MS-based metabolomics to discover a previously undescribed class of bioactive lipids that was highly upregulated in AG4OX adipose tissue. We structurally characterized these lipids as fatty acyl hydroxy fatty acids (FAHFAs) and several positional isomers were chemically synthesized to confirm structural assignments via coelution studies. We discovered that individual FAHFAs, such as 5-palmitoyl-hydroxystearic acid (5-PAHSA), were differentially regulated by the transcription factor ChREBP. Circulating 5-PAHSA levels in mice and humans correlated with ChREBP expression and insulin resistance. In order to explore the biochemical regulation of FAHFAs, we developed an LCMS-based assay to measure FAHFA hydrolysis activity. We identified one enzyme, carboxyl ester lipase (CEL), as the major FAHFA hydrolase in pancreas, where the activity was highest. We confirmed its relevance in vivo by feeding labeled FAHFA to CEL inhibitor-treated mice. In this work we used LC-MS-based metabolomics to discover two lipids, MAGE and FAHFA, along with the CEL pathway, that may help us to better understand the pathogenesis of obesity and diabetes.
Chemistry and Chemical Biology

APA, Harvard, Vancouver, ISO, and other styles

38

Paudel, Liladhar. "High Field ¹H Nuclear Magnetic Resonance (NMR) Spectroscopy Based Metabolomics and Complex Mixture Analysis by Multidimensional NMR and Liquid Chromatography-Mass Spectrometry (LC-MS)." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1343403647.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Zamani, Leila. "Methods for structural studies of an antibody, screening metabolites in rat urine and analysis of spent cell cultivation media using LC/ESI-MS and chemometrics." Doctoral thesis, Stockholms universitet, Institutionen för analytisk kemi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-28921.

Full text

Abstract:

This thesis describes bioanalytical methods for generating fingerprints of biological systems for extracting relevant information with (protein) drugs in focus. Similarities and differences between samples can reveal the hidden relevant information, which can be used to optimize the production and facilitate the quality control of such protein drugs during their development and manufacture. Metabolic fingerprinting and multivariate data analysis (MVDA) can also facilitate early diagnosis of diseases and the effects and toxicity of drugs. Currently, several protein drugs are available on the global market. Nevertheless, despite, the success of such biotherapeutics significant challenges remain to be overcome in maintaining their stability and efficacity throughout their production cycle and long-term storage. The native structure and functional activity of therapeutic proteins is affected by many variables from production to delivery, incl. variables assoc. with conditions in bioreactors, purification, storage and delivery. Thus, part of the work underlying this thesis focused on structural analysis of a protein drug using chemical labeling, peptide mapping, and evaluation of the charge state distributions of the whole protein generated by ESI. The other part focuses on non-targeted metabolomics with a view to optimizing the cell cultivation process and assessment of the drug’s toxicity. A combination of appropriate analytical methods and MVDA is needed to find markers that can facilitate optimization of the cultivation system and expression of the target proteins in early stages of process development. Rapid methods for characterizing the protein drugs in different stages of the process are also required for quality control. In order to obtain high quality fingerprints analytical separation techniques with high resolution (such as HPLC or UHPLC) and sensitive analytical detection techniques (such as ESI, quadrupole or TOF MS) have been used, singly or in combination.
At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Manuscript.

APA, Harvard, Vancouver, ISO, and other styles

40

Fatica, Erica Marie. "Investigating Cardiac Metabolism in Barth Syndrome Using Induced Pluripotent Stem Cell-Derived Cardiomyocytes." Cleveland State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu1556630870935279.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Charney, Reagan R. "Coupling reactions and separations for improved synthetic processes." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26675.

Full text

Abstract:

Thesis (Ph. D.)--Chemistry and Biochemistry, Georgia Institute of Technology, 2009.
Committee Chair: Dr. Charles Liotta; Committee Co-Chair: Dr. Charles Eckert; Committee Member: Dr. David Collard; Committee Member: Dr. Facundo Fernandez; Committee Member: Dr. Rigoberto Hernandez. Part of the SMARTech Electronic Thesis and Dissertation Collection.

APA, Harvard, Vancouver, ISO, and other styles

42

Sadhukhan, Sushabhan. "Metabolism & Signaling of 4-Hydroxyacids: Novel Metabolic Pathways and Insight into the Signaling of Lipid Peroxidation Products." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1339171892.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Jonsson, Pär. "Multivariate processing and modelling of hyphenated metabolite data." Doctoral thesis, Umeå universitet, Kemi, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-663.

Full text

Abstract:

One trend in the ‘omics’ sciences is the generation of increasing amounts of data, describing complex biological samples. To cope with this and facilitate progress towards reliable diagnostic tools, it is crucial to develop methods for extracting representative and predictive information. In global metabolite analysis (metabolomics and metabonomics) NMR, GC/MS and LC/MS are the main platforms for data generation. Multivariate projection methods (e.g. PCA, PLS and O-PLS) have been recognized as efficient tools for data analysis within subjects such as biology and chemistry due to their ability to provide interpretable models based on many, correlated variables. In global metabolite analysis, these methods have been successfully applied in areas such as toxicology, disease diagnosis and plant functional genomics. This thesis describes the development of processing methods for the unbiased extraction of representative and predictive information from metabolic GC/MS and LC/MS data characterizing biofluids, e.g. plant extracts, urine and blood plasma. In order to allow the multivariate projections to detect and highlight differences between samples, one requirement of the processing methods is that they must extract a common set of descriptors from all samples and still retain the metabolically relevant information in the data. In Papers I and II this was done by applying a hierarchical multivariate compression approach to both GC/MS and LC/MS data. In the study described in Paper III a hierarchical multivariate curve resolution strategy (H-MCR) was developed for simultaneously resolving multiple GC/MS samples into pure profiles. In Paper IV the H-MCR method was applied to a drug toxicity study in rats, where the method’s potential for biomarker detection and identification was exemplified. Finally, the H-MCR method was extended, as described in Paper V, allowing independent samples to be processed and predicted using a model based on an existing set of representative samples. The fact that these processing methods proved to be valid for predicting the properties of new independent samples indicates that it is now possible for global metabolite analysis to be extended beyond isolated studies. In addition, the results facilitate high through-put analysis, because predicting the nature of samples is rapid compared to the actual processing. In summary this research highlights the possibilities for using global metabolite analysis in diagnosis.

APA, Harvard, Vancouver, ISO, and other styles

44

Xie, Mouzhe. "Probing and Modeling Biomolecule-Nanoparticle Interactions by Solution Nuclear Magnetic Resonance Spectroscopy." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532049249287026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Wang, Bo. "Novel statistical methods for evaluation of metabolic biomarkers applied to human cancer cell lines." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1399046331.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Joesten, William C. "Exploring the relationships between gut bacteria, gut permeability, and bacterial metabolism in the Non Obese Diabetic (NOD) mouse model of Type 1 Diabetes (T1D)." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1574423689823958.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Wirgot, Nolwenn. "Etude du métabolisme microbien dans les nuages : réponse au stress et impact sur la chimie atmosphérique." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC101/document.

Full text

Abstract:

La phase aqueuse de l’atmosphère et plus précisément les gouttelettes de nuage est un des milieux les plus concentrés et réactifs de l’atmosphère au sein duquel les composés présents peuvent subir de nombreuses transformations, principalement par voie photochimique. De plus, elle a la propriété d’être oxydante due à la présence d’espèces radicalaires telles qu’OH ou HO2 et de composés tels que le peroxyde d’hydrogène et le fer.La présence avérée de microorganismes métaboliquement actifs dans l’atmosphère a soulevé de nombreuses questions et plus récemment sur leur rôle dans les processus atmosphériques. Ces organismes pourraient modifier la composition des nuages en utilisant comme substrat les composés carbonés représentant une part importante des composés présents dans les nuages. De plus, ils sont suspectés de jouer un rôle dans la capacité oxydante des nuages en impactant des composés clés de la réactivité chimique tels que le fer ou le peroxyde d’hydrogène. L’objectif de ces travaux de thèse était de se focaliser sur les interactions des microorganismes avec deux espèces oxydantes de la phase aqueuse des nuages, le fer et le peroxyde d’hydrogène.Tout d’abord, un intérêt particulier a été porté au cycle du fer et à sa complexation dans les nuages, de nature encore très incertaine à ce jour. Dans l’idée d’apporter des premiers éléments de réponse quant à cette complexation, un large screening réalisé sur des microorganismes des nuages a été effectué afin d’évaluer leur capacité à produire des sidérophores. Les résultats obtenus suggèrent l’éventuelle présence de sidérophores dans les eaux de nuage comme molécules chélatantes du fer(III) ce qui pourrait impacter la chimie du fer dans la phase aqueuse des nuages.Il a ensuite été question de s’intéresser au peroxyde d’hydrogène. Dans une première approche, les paramètres et mécanismes responsables de la transformation biotique et abiotique de H2O2 dans les eaux de nuage ont été étudiés, ainsi que ses effets sur le métabolisme énergétique des microorganismes. Dans une deuxième approche, les modifications du métabolisme microbien face à H2O2 ont été approfondies à travers une approche métabolomique. Les résultats ont ainsi suggéré que le peroxyde d’hydrogène module fortement le métabolisme énergétique des microorganismes des nuages. Les microorganismes sont capables de gérer une condition de stress oxydant mais qu’en même temps ce stress induit une réorganisation de leur métabolisme. Il a également été montré que diverses voies métaboliques telles que le métabolisme des sucres, acides carboxyliques, lipides, acides aminés, peptide et glutathion sont impactées.Intégrer ces données biologiques dans des modèles de chimie atmosphérique pour améliorer la quantification de cette modulation sur la chimie atmosphérique apparait comme une des perspectives les plus importantes à envisager. Pour cela, des constantes cinétiques de biodégradation de quatre composés majeurs des nuages ont été déterminées. Les sorties du modèle nous permettront de mieux évaluer l’impact du métabolisme microbien sur la chimie des nuages
The aqueous phase of the atmosphere and, more precisely, cloud droplets is one of the most reactive environments of the atmosphere within which the compounds present can be transformed especially by photochemical reactions. In addition, it contains many radical species such as HO, HO2, hydrogen peroxide or iron which explains its oxidizing power.The presence of metabolically active microorganisms in the atmosphere raised many questions and, currently, on their role in atmospheric processes. These organisms could modify the composition of clouds using carbon compounds as substrate that represented an important part of compounds present in clouds. They are also suspected to play a role in the oxidative capacity of clouds by impacting key compounds of chemical reactivity such as iron or hydrogen peroxide.The objective of this work was to focus on the interactions between cloud microorganisms and two oxidant species of clouds aqueous phase, iron and hydrogen peroxide.First, the cycling of iron and its complexation still very uncertain was studied. In order to provide responses we achieved a screening to evaluate the capacity of cloud microorganisms to produce siderophores. The results obtained suggest the possible presence of siderophores in cloud water as chelating molecules of iron (III) which could have a strong impact on iron chemistry in cloud aqueous phase.Then, we focused on hydrogen peroxide. The parameters and mechanisms responsible for the biotic and abiotic transformation of H2O2 in cloud water were studied, as well as its effects on energetic metabolism of microorganisms. The modifications of the microbial metabolism in the presence of H2O2 were pursued using metabolomics. The results suggest that H2O2 strongly modulate the energetic metabolism of cloud microorganisms. They are able to handle oxidative stress conditions but at the same time this stress induces a reorganization of their metabolism. Various metabolic pathways such as sugar, carboxylic acids, lipids, amino acids, peptide and glutathione metabolism are impacted.One of the important perspectives to consider is the integration of these biological data into atmospheric chemistry models in order to improve the quantification of this modulation on atmospheric chemistry. For this, biodegradation rate constants of four major compounds present in clouds were determined. The output will allow us to assess better the impact of microbial metabolism on clouds chemistry

APA, Harvard, Vancouver, ISO, and other styles

48

Allard, Erik. "Metabolic Studies with Liquid Separation Coupled to Mass Spectrometry." Doctoral thesis, Uppsala universitet, Analytisk kemi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110310.

Full text

Abstract:

Metabolism is the sum of all chemical processes with the purpose to maintain life, as well as enable reproduction, in a living organism. Through the study of metabolism, increased understanding of pharmacological mechanisms and diseases can be achieved. This thesis describes several ways of doing so, including targeted analysis of selected metabolites and investigations of systematic metabolic differences between selected groups through pattern recognition. A method for exploring metabolic patterns in urine samples after intake of coffee or tea was developed. The methodology was later used with the aim to find biomarkers for prostate cancer and urinary bladder cancer. Furthermore, a fully automated quantitative method was developed for concentration measurements of the double prodrug ximelagatran and its metabolites in pig liver. The method was then used to study the roll of active transporters in pig liver cells. Moreover, a fundamental study was conducted to investigate how monitoring of small, doubly charged analytes can improve the limit of detection and precision in a quantitative method. The techniques used for the experiments were liquid separation coupled to electrospray mass spectrometry. Extra efforts were made to make the separation and the ionization as compatible as possible to each other for increased quality of the collected data.

APA, Harvard, Vancouver, ISO, and other styles

49

Wiklund, Susanne. "Spectroscopic data and multivariate analysis : tools to study genetic perturbations in poplar trees." Doctoral thesis, Umeå : Department of Chemistry, Umeå Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1396.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Houël, Emeline. "Étude de substances bioactives issues de la flore amazonienne : analyse de préparations phytothérapeutiques à base de Quassia amara L (simaroubacae) et Psidium acutangulum DC (Myrtaceae) utilisées en Guyane française pour une indication antipaludique : identification et analyse métabolomique d'huiles essentielles à activité antifongique." Thesis, Antilles-Guyane, 2011. http://www.theses.fr/2011AGUY0415/document.

Full text

Abstract:

L’objectif du travail effectué était la recherche de nouvelles substances actives d’origine végétale, présentant soit une activité antiplasmodiale soit une activité antifongique. Cette étude a été menée suivant deux stratégies différentes: l’étude de remèdes traditionnels antipaludiques identifiés suite à des enquêtes ethnopharmacologiques, et la mise en évidence des propriétés antifongiques d’huiles essentielles grâce à une stratégie bioinspirée. La première partie du travail a permis de mettre en évidence le rôle d’un quassinoïde connu, la simalikalactone D, dans l’activité antipaludique d’une tisane de jeunes feuilles fraîches de Quassia amara L. (Simaroubaceae). Dans le cas de la décoction de rameaux de Psidium acutangulum DC. (Myrtaceae), c’est cette fois un mélange de flavonoïdes glycosylés qui est responsable de l’activité du remède. Dans le cadre de la recherche de nouvelles substances antifongiques, le criblage effectué a permis d’identifier de nombreuses huiles essentielles présentant des activités intéressantes, validant ainsi la démarche bioinspirée retenue dans ce cas. L’huile essentielle d’Otacanthus azureus (Linden) Ronse a en particulier démontré une activité remarquable, à la fois seule et en combinaison avec des antifongiques azolés. Enfin, l’étude métabolomique de la composition des huiles essentielles a permis de mettre au point un outil pouvant orienter la sélection des huiles en fonction des données obtenues en GC/MS dans l’optique de la recherche de nouvelles substances antifongiques. Ce travail démontre donc la validité des stratégies retenues – ethnopharmacologie et bioinspiration – dans la recherche de nouvelles substances bioactives
The aim of this work was to search for new bioactive compounds, displaying either antiplasmodial or antifungal activity. Two strategies were developed here: the evaluation of traditional remedies identified as antimalarial through ethnopharmacological studies, and the search for antifungal essential oils, the criterium being here a bioinspired approach. Our work led to the discovery that the antimalarial activity of Quassia amara L. (Simaroubaceae) fresh young leaves was due to the presence of a known quassinoid, simalikalactone D. In the case of Psidium acutangulum DC. (Myrtaceae), a flavonol glycosides mixture explained the activity observed for the decoction. The search for antifungal essential oils from the Amazonian flora led to the identification of several interesting species, thus validating our bioinspired strategy. The essential oil of Otacanthus azureus (Linden) Ronse was among the most active ones, either alone or in combination with azole drugs. Eventually, a metabolomic study of the GC/MS composition of these oils allowed us to develop a statistical tool which could help to select interesting antifungal products. This work thus demonstrates the major interest of the two strategies – ethnopharmacology and bioinspiration – for the search of new bioactive compounds

APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic 'Metabolomic chemistry'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles