TY - GEN A1 - Zwaag, Jelle A1 - Horst, Rob ter A1 - Blaženović, Ivana A1 - Stößel, Daniel A1 - Ratter, Jacqueline A1 - Worseck, Josephine M. A1 - Schauer, Nicolas A1 - Stienstra, Rinke A1 - Netea, Mihai G. A1 - Jahn, Dieter A1 - Pickkers, Peter A1 - Kox, Matthijs T1 - Involvement of lactate and pyruvate in the anti-inflammatory effects exerted by voluntary activation of the sympathetic nervous system T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - We recently demonstrated that the sympathetic nervous system can be voluntarily activated following a training program consisting of cold exposure, breathing exercises, and meditation. This resulted in profound attenuation of the systemic inflammatory response elicited by lipopolysaccharide (LPS) administration. Herein, we assessed whether this training program affects the plasma metabolome and if these changes are linked to the immunomodulatory effects observed. A total of 224 metabolites were identified in plasma obtained from 24 healthy male volunteers at six timepoints, of which 98 were significantly altered following LPS administration. Effects of the training program were most prominent shortly after initiation of the acquired breathing exercises but prior to LPS administration, and point towards increased activation of the Cori cycle. Elevated concentrations of lactate and pyruvate in trained individuals correlated with enhanced levels of anti-inflammatory interleukin (IL)-10. In vitro validation experiments revealed that co-incubation with lactate and pyruvate enhances IL-10 production and attenuates the release of pro-inflammatory IL-1 beta and IL-6 by LPS-stimulated leukocytes. Our results demonstrate that practicing the breathing exercises acquired during the training program results in increased activity of the Cori cycle. Furthermore, this work uncovers an important role of lactate and pyruvate in the anti-inflammatory phenotype observed in trained subjects. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1413 KW - metabolomics KW - LPS KW - endotoxin KW - pyruvate KW - lactate KW - cytokines KW - inflammation KW - human endotoxemia KW - cori cycle KW - warburg effect Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-517784 SN - 1866-8372 IS - 4 ER - TY - JOUR A1 - Zwaag, Jelle A1 - Horst, Rob ter A1 - Blaženović, Ivana A1 - Stößel, Daniel A1 - Ratter, Jacqueline A1 - Worseck, Josephine M. A1 - Schauer, Nicolas A1 - Stienstra, Rinke A1 - Netea, Mihai G. A1 - Jahn, Dieter A1 - Pickkers, Peter A1 - Kox, Matthijs T1 - Involvement of lactate and pyruvate in the anti-inflammatory effects exerted by voluntary activation of the sympathetic nervous system JF - Metabolites N2 - We recently demonstrated that the sympathetic nervous system can be voluntarily activated following a training program consisting of cold exposure, breathing exercises, and meditation. This resulted in profound attenuation of the systemic inflammatory response elicited by lipopolysaccharide (LPS) administration. Herein, we assessed whether this training program affects the plasma metabolome and if these changes are linked to the immunomodulatory effects observed. A total of 224 metabolites were identified in plasma obtained from 24 healthy male volunteers at six timepoints, of which 98 were significantly altered following LPS administration. Effects of the training program were most prominent shortly after initiation of the acquired breathing exercises but prior to LPS administration, and point towards increased activation of the Cori cycle. Elevated concentrations of lactate and pyruvate in trained individuals correlated with enhanced levels of anti-inflammatory interleukin (IL)-10. In vitro validation experiments revealed that co-incubation with lactate and pyruvate enhances IL-10 production and attenuates the release of pro-inflammatory IL-1 beta and IL-6 by LPS-stimulated leukocytes. Our results demonstrate that practicing the breathing exercises acquired during the training program results in increased activity of the Cori cycle. Furthermore, this work uncovers an important role of lactate and pyruvate in the anti-inflammatory phenotype observed in trained subjects. KW - metabolomics KW - LPS KW - endotoxin KW - pyruvate KW - lactate KW - cytokines KW - inflammation KW - human endotoxemia KW - cori cycle KW - warburg effect Y1 - 2020 U6 - https://doi.org/10.3390/metabo10040148 SN - 2218-1989 VL - 10 IS - 4 SP - 1 EP - 18 PB - MDPI CY - Basel ER - TY - THES A1 - Zhang, Baichen T1 - Dissection of phloem transport in cucurbitaceae by metabolomic analysis T1 - Analyse des Phloemtransports bei Cucurbitaceae mittels Metabolomics N2 - This thesis aimed to investigate several fundamental and perplexing questions relating to the phloem loading and transport mechanisms of Cucurbita maxima, by combining metabolomic analysis with cell biological techniques. This putative symplastic loading species has long been used for experiments on phloem anatomy, phloem biochemistry, phloem transport physiology and phloem signalling. Symplastic loading species have been proposed to use a polymer trapping mechanism to accumulate RFO (raffinose family oligosaccharides) sugars to build up high osmotic pressure in minor veins which sustains a concentration gradient that drives mass flow. However, extensive evidence indicating a low sugar concentration in their phloem exudates is a long-known problem that conflicts with this hypothesis. Previous metabolomic analysis shows the concentration of many small molecules in phloem exudates is higher than that of leaf tissues, which indicates an active apoplastic loading step. Therefore, in the view of the phloem metabolome, a symplastic loading mechanism cannot explain how small molecules other than RFO sugars are loaded into phloem. Most studies of phloem physiology using cucurbits have neglected the possible functions of vascular architecture in phloem transport. It is well known that there are two phloem systems in cucurbits with distinctly different anatomical features: central phloem and extrafascicular phloem. However, mistaken conclusions on sources of cucurbit phloem exudation from previous reports have hindered consideration of the idea that there may be important differences between these two phloem systems. The major results are summarized as below: 1) O-linked glycans in C.maxima were structurally identified as beta-1,3 linked glucose polymers, and the composition of glycans in cucurbits was found to be species-specific. Inter-species grafting experiments proved that these glycans are phloem mobile and transported uni-directionally from scion to stock. 2) As indicated by stable isotopic labelling experiments, a considerable amount of carbon is incorporated into small metabolites in phloem exudates. However, the incorporation of carbon into RFO sugars is much faster than for other metabolites. 3) Both CO2 labelling experiments and comparative metabolomic analysis of phloem exudates and leaf tissues indicated that metabolic processes other than RFO sugar metabolism play an important role in cucurbit phloem physiology. 4) The underlying assumption that the central phloem of cucurbits continuously releases exudates after physical incision was proved wrong by rigorous experiments including direct observation by normal microscopy and combined multiple-microscopic methods. Errors in previous experimental confirmation of phloem exudation in cucurbits are critically discussed. 5) Extrafascicular phloem was proved to be functional, as indicated by phloem-mobile carboxyfluorescein tracer studies. Commissural sieve tubes interconnect phloem bundles into a complete super-symplastic network. 6) Extrafascicular phloem represents the main source of exudates following physical incision. The major transported metabolites by these extrafacicular phloem are non-sugar compounds including amino acids, O-glycans, amines. 7) Central phloem contains almost exclusively RFO sugars, the estimated amount of which is up to 1 to 2 molar. The major RFO sugar present in central phloem is stachyose. 8) Cucurbits utilize two structurally different phloem systems for transporting different group of metabolites (RFO sugars and non-RFO sugar compounds). This implies that cucurbits may use spatially separated loading mechanisms (apoplastic loading for extrafascicular phloem and symplastic loading for central phloem) for supply of nutrients to sinks. 9) Along the transport systems, RFO sugars were mainly distributed within central phloem tissues. There were only small amounts of RFO sugars present in xylem tissues (millimolar range) and trace amounts of RFO sugars in cortex and pith. The composition of small molecules in external central phloem is very different from that in internal central phloem. 10) Aggregated P-proteins were manually dissected from central phloem and analysed by both SDS-PAGE and mass spectrometry. Partial sequences of peptides were obtained by QTOF de novo sequencing from trypsin digests of three SDS-PAGE bands. None of these partial sequences shows significant homology to known cucurbit phloem proteins or other plant proteins. This proves that these central phloem proteins are a completely new group of proteins different from those in extrafascicular phloem. The extensively analysed P-proteins reported in literature to date are therefore now shown to arise from extrafascicular phloem and not central phloem, and therefore do not appear to be involved in the occlusion processes in central phloem. N2 - Phloem transportiert ein ausgedehntes Spektrum an Molekülen zwischen Pflanzenorganen, um Wachstum und Entwicklung zu koordinieren. Folglich ist eine umfassende und unvoreingenommene Metabolom-Analyse notwendig, um unser Verständnis über den Transport von Stoffwechselprodukten sowie über Phloemtransport zu vertiefen. Phloemexsudate von Kürbispflanzen werden unter Verwendung der Metabolom-Analyse analysiert. Bei diesen Pflanzen wird angenommen, dass sie symplastische Beladungswege verwenden, um Photoassmilate als Ausgangsschritt des Phloemtransportes zu konzentrieren. Zwei neue Familien Callose-verwandter Substanzen, 1,3-Overknüpfte Glycane, sowie eine Reihe anderer kleinerer Metabolite werden in den Phloemexsudaten detektiert. Metabolom-Daten und physiologische Experimente widersprechen früher berichtetem Verständnis des Phloemexsudationsprozesses in Kürbispflanzen. Folglich bestätigt sich der Phloemexsudationsprozeß durch Kombination unterschiedlicher mikroskopischer Techniken. Kürbispflanzen besitzen zwei Phloemsysteme mit eindeutigen anatomischen Eigenschaften. Es zeigt sich, daß Phloemexsudate in Kürbissen hauptsächlich vom extrafaszikulären Phloem, nicht vom zentralen Phloem, stammen. In den letzten Jahrzehnten wurde gewöhnlich mißverstanden, daß Phloemexsudate vom zentralen Phloem stammen. Die eindeutigen metabolischen Profile der unterschiedlichen Phloemsysteme, die durch Metabolom-Analysen in der räumlichen Auflösung beobachtet werden, bestätigen die unterschiedlichen physiologischen Funktionen der zwei unterschiedlichen Phloemsysteme: das zentrale Phloem transportiert hauptsächlich Zucker, während das extrafaszikuläre Phloem ein ausgedehntes Spektrum von Metaboliten transportiert. Es kann auch ein unterschiedliches metabolisches Profil kleiner Moleküle zwischen internem und externem zentralem Phloem beobachtet werden. Von Strukturproteinen des zentralen Phloems wurden auch Proben genommen und mittels Massenspektrometrie analysiert. Diese Proteine erweisen sich als neuartige Proteine, die sich zu denen im extrafaszikulären Phloem unterscheiden. Dies bestätigt ferner den Funktionsunterschied der unterschiedlichen Phloemsysteme in Kürbispflanzen. Basierend auf diesen neuartigen Entdeckungen des Phloem-Metaboloms und dem vorhergehenden Wissen über den Phloemtransport in Kürbispflanzen, wird ein neues Modell vorgeschlagen, um den Mechanismus des Phloemtransports in der symplastischen Beladung zu verstehen. KW - phloem KW - metabolomics KW - cucurbits KW - phloem proteins KW - phloem KW - symplastic loading KW - metabolomic analysis KW - p-proteins KW - phloem architecture Y1 - 2005 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-6644 ER - TY - GEN A1 - Witzel, Katja A1 - Neugart, Susanne A1 - Ruppel, Silke A1 - Schreiner, Monika A1 - Wiesner, Melanie A1 - Baldermann, Susanne T1 - Recent progress in the use of ‘omics technologies in brassicaceous vegetables T2 - Frontiers in plant science N2 - Continuing advances in 'omics methodologies and instrumentation is enhancing the understanding of how plants cope with the dynamic nature of their growing environment. 'Omics platforms have been only recently extended to cover horticultural crop species. Many of the most widely cultivated vegetable crops belong to the genus Brassica: these include plants grown for their root (turnip, rutabaga/swede), their swollen stem base (kohlrabi), their leaves (cabbage, kale, pak choi) and their inflorescence (cauliflower, broccoli). Characterization at the genome, transcript, protein and metabolite levels has illustrated the complexity of the cellular response to a whole series of environmental stresses, including nutrient deficiency, pathogen attack, heavy metal toxicity, cold acclimation, and excessive and sub optimal irradiation. This review covers recent applications of omics technologies to the brassicaceous vegetables, and discusses future scenarios in achieving improvements in crop end-use quality. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 429 KW - genomics KW - transcriptomics KW - metabolomics KW - proteomics KW - crop KW - microbiomics Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-406479 ER - TY - JOUR A1 - Witzel, Katja A1 - Neugart, Susanne A1 - Ruppel, Silke A1 - Schreiner, Monika A1 - Wiesner, Melanie A1 - Baldermann, Susanne T1 - Recent progress in the use of 'omics technologies in brassicaceous vegetables JF - Frontiers in plant science N2 - Continuing advances in 'omics methodologies and instrumentation is enhancing the understanding of how plants cope with the dynamic nature of their growing environment. 'Omics platforms have been only recently extended to cover horticultural crop species. Many of the most widely cultivated vegetable crops belong to the genus Brassica: these include plants grown for their root (turnip, rutabaga/swede), their swollen stem base (kohlrabi), their leaves (cabbage, kale, pak choi) and their inflorescence (cauliflower, broccoli). Characterization at the genome, transcript, protein and metabolite levels has illustrated the complexity of the cellular response to a whole series of environmental stresses, including nutrient deficiency, pathogen attack, heavy metal toxicity, cold acclimation, and excessive and sub optimal irradiation. This review covers recent applications of omics technologies to the brassicaceous vegetables, and discusses future scenarios in achieving improvements in crop end-use quality. KW - genomics KW - transcriptomics KW - metabolomics KW - proteomics KW - crop KW - microbiomics Y1 - 2015 U6 - https://doi.org/10.3389/fpls.2015.00244 SN - 1664-462X VL - 6 PB - Frontiers Research Foundation CY - Lausanne ER - TY - THES A1 - Wittenbecher, Clemens T1 - Linking whole-grain bread, coffee, and red meat to the risk of type 2 diabetes T1 - Der Einfluss von Vollkornbrot, Kaffee, und rotem Fleisch auf das Typ 2 Diabetesrisiko BT - using metabolomics networks to infer potential biological mechanisms BT - Verwendung von Metabolomics-Netzwerken, um auf biologische Mechanismen zu schließen N2 - Background: Consumption of whole-grain, coffee, and red meat were consistently related to the risk of developing type 2 diabetes in prospective cohort studies, but potentially underlying biological mechanisms are not well understood. Metabolomics profiles were shown to be sensitive to these dietary exposures, and at the same time to be informative with respect to the risk of type 2 diabetes. Moreover, graphical network-models were demonstrated to reflect the biological processes underlying high-dimensional metabolomics profiles. Aim: The aim of this study was to infer hypotheses on the biological mechanisms that link consumption of whole-grain bread, coffee, and red meat, respectively, to the risk of developing type 2 diabetes. More specifically, it was aimed to consider network models of amino acid and lipid profiles as potential mediators of these risk-relations. Study population: Analyses were conducted in the prospective EPIC-Potsdam cohort (n = 27,548), applying a nested case-cohort design (n = 2731, including 692 incident diabetes cases). Habitual diet was assessed with validated semiquantitative food-frequency questionnaires. Concentrations of 126 metabolites (acylcarnitines, phosphatidylcholines, sphingomyelins, amino acids) were determined in baseline-serum samples. Incident type 2 diabetes cases were assed and validated in an active follow-up procedure. The median follow-up time was 6.6 years. Analytical design: The methodological approach was conceptually based on counterfactual causal inference theory. Observations on the network-encoded conditional independence structure restricted the space of possible causal explanations of observed metabolomics-data patterns. Given basic directionality assumptions (diet affects metabolism; metabolism affects future diabetes incidence), adjustment for a subset of direct neighbours was sufficient to consistently estimate network-independent direct effects. Further model-specification, however, was limited due to missing directionality information on the links between metabolites. Therefore, a multi-model approach was applied to infer the bounds of possible direct effects. All metabolite-exposure links and metabolite-outcome links, respectively, were classified into one of three categories: direct effect, ambiguous (some models indicated an effect others not), and no-effect. Cross-sectional and longitudinal relations were evaluated in multivariable-adjusted linear regression and Cox proportional hazard regression models, respectively. Models were comprehensively adjusted for age, sex, body mass index, prevalence of hypertension, dietary and lifestyle factors, and medication. Results: Consumption of whole-grain bread was related to lower levels of several lipid metabolites with saturated and monounsaturated fatty acids. Coffee was related to lower aromatic and branched-chain amino acids, and had potential effects on the fatty acid profile within lipid classes. Red meat was linked to lower glycine levels and was related to higher circulating concentrations of branched-chain amino acids. In addition, potential marked effects of red meat consumption on the fatty acid composition within the investigated lipid classes were identified. Moreover, potential beneficial and adverse direct effects of metabolites on type 2 diabetes risk were detected. Aromatic amino acids and lipid metabolites with even-chain saturated (C14-C18) and with specific polyunsaturated fatty acids had adverse effects on type 2 diabetes risk. Glycine, glutamine, and lipid metabolites with monounsaturated fatty acids and with other species of polyunsaturated fatty acids were classified as having direct beneficial effects on type 2 diabetes risk. Potential mediators of the diet-diabetes links were identified by graphically overlaying this information in network models. Mediation analyses revealed that effects on lipid metabolites could potentially explain about one fourth of the whole-grain bread effect on type 2 diabetes risk; and that effects of coffee and red meat consumption on amino acid and lipid profiles could potentially explain about two thirds of the altered type 2 diabetes risk linked to these dietary exposures. Conclusion: An algorithm was developed that is capable to integrate single external variables (continuous exposures, survival time) and high-dimensional metabolomics-data in a joint graphical model. Application to the EPIC-Potsdam cohort study revealed that the observed conditional independence patterns were consistent with the a priori mediation hypothesis: Early effects on lipid and amino acid metabolism had the potential to explain large parts of the link between three of the most widely discussed diabetes-related dietary exposures and the risk of developing type 2 diabetes. N2 - Hintergrund: Evidenz aus prospektiven Kohortenstudien belegt, dass der gewohnheitsmäßige Verzehr von Vollkorn, Kaffee und rotem Fleisch mit dem Risiko an Typ 2 Diabetes zu erkranken assoziiert ist. Dieser Risikobeziehung eventuell zugrunde liegende Mechanismen sind allerdings noch weitgehend unklar. Des Weiteren wurde gezeigt, dass Metabolitenprofile im Blut durch die oben genannten Ernährungs-expositionen beeinflusst werden und außerdem in Zusammenhang mit dem Typ 2 Diabetesrisiko stehen. Zusätzlich wurde beschrieben, dass grafische Netzwerkmodelle von Metabolitenprofilen die zugrunde liegenden Stoffwechselprozesse gut abbilden. Zielstellung: Das Ziel dieser Arbeit war es, Hypothesen bezüglich biologischer Mechanismen zu generieren, die die Assoziationen des Vollkornverzehrs, des Kaffeekonsums und des Fleischverzehrs mit dem Typ 2 Diabetesrisiko erklären könnten. Im speziellen sollten Aminosäure- und Lipidprofile als mögliche Mediatoren des Risikozusammenhangs untersucht werden. Studienpopulation: Analysen wurden auf Grundlage von Daten aus der prospektiven EPIC-Potsdam Kohortenstudie (n=27,548) durchgeführt, wobei ein Fall-Kohorten-Design verwendet wurde (n=2317, darunter 692 inzidente Typ 2 Diabetesfälle). Ernährungsgewohnheiten wurden mit einem validierten, semiquantitativen Verzehrshäufigkeitsfragebogen erfasst. Die Konzentrationen von 126 Metaboliten (Aminosäuren, Acylcarnitine, Sphingomyeline und Phosphatidylcholine) wurden zur Basiserhebung genommen Blutproben gemessen. Inzidente Typ 2 Diabetesfälle wurden im Rahmen einer aktiven Folgeerhebung detektiert und verifiziert. Die mediane Dauer des berücksichtigten prospektiven Erhebungszeitraums lag für diese Studie bei 6,6 Jahren. Aufbau der Analysen: Die theoretische Grundlage für den methodischen Ansatz dieser Arbeit bildete die kontrafaktische Theorie der Kausalinferenz. Die in Netzwerken kodierte konditionale Unabhängigkeitsstruktur wurde genutzt, um den Raum möglicher Modelle zu begrenzen, die die beobachteten Zusammenhänge zwischen den Metaboliten erklären könnten. Unter Annahme weniger grundlegender Effektrichtungen (von der Ernährung auf die Netzwerke gerichtete Effekte; von den Netzwerken auf das Diabetesrisiko gerichtete Effekte) genügt die Adjustierung für eine Teilmenge der direkten Nachbarn im Netzwerk, um netzwerkunabhängige direkte Effekte konsistent zu schätzen. Eine weitere Spezifizierung der Modelle war allerdings aufgrund fehlender Richtungsinformationen zu den Metaboliten-abhängigkeiten nicht möglich. Deshalb wurde ein Multi-Modellierungsansatz gewählt, um die Grenzen möglicher Effekte zu schlussfolgern. Alle möglichen Ernährungs-Metaboliten-Beziehungen und Metaboliten-Typ 2 Diabetesrisiko-Beziehungen wurden dadurch in eine der folgenden drei Kategorien klassifiziert: Direkter Effekt, Unklar, Kein Effekt. Querschnittsbeziehungen wurden in multivariabel adjustierten linearen Regressionsmodellen untersucht. Longitudinale Zusammenhänge wurden mit Cox-Regressionsmodellen geschätzt. Alle Modelle wurden für Alter, Geschlecht, Body-Mass-Index, prävalente Hypertonie, Ernährungs- und Lebensstilfaktoren und die Einnahme von Medikamenten adjustiert. Ergebnisse: Der Verzehr von Vollkornbrot stand im Zusammenhang mit niedrigeren Konzentrationen gesättigter und einfach ungesättigter Fettsäuren. Kaffee stand in Beziehung zu niedrigeren Konzentrationen verzweigtkettiger und aromatischer Aminosäuren und hatte potentielle Effekte auf das Fettsäureprofil in den Lipidmetaboliten. Rotes Fleisch zeigte einen Zusammenhang mit niedrigeren Glyzinspiegeln und mit höheren Konzentrationen verzweigtkettiger Aminosäuren. Außerdem stand das Fettsäureprofil in den verschieden Gruppen von Lipidmetaboliten in Zusammenhang mit dem Fleischverzehr. Des Weiteren wurden potentielle Effekte der Metabolite auf das Typ 2 Diabetesrisiko gefunden. Aromatische Aminosäuren und Lipidmetabolite mit geradzahligen, gesättigten (C14-C16) und mit spezifischen mehrfach ungesättigten Fettsäureseitenketten standen mit einem erhöhten Typ 2 Diabetesrisiko in Beziehung. Glyzin, Glutamin und Lipidmetabolite mit einfach ungesättigten und anderen mehrfach ungesättigten Fettsäureseitenketten zeigten einen günstigen Zusammenhang mit dem Diabetesrisiko. Mögliche Mediatoren der Beziehung der Ernährungsexpositionen wurden identifiziert, indem diese Informationen in gemeinsamen grafischen Modellen integriert wurden. Mediationsanalysen zeigten, dass die möglichen Effekte von Vollkornverzehr auf die Lipidmetabolite ungefähr ein Viertel des günstigen Einflusses von Vollkornverzehr auf das Diabetesrisikos erklären könnten. Die möglichen Effekte von Kaffeekonsum und von Fleischverzehr auf Aminosäuren und Lipidmetabolite könnten jeweils ungefähr zwei Drittel der Zusammenhänge mit dem Diabetesrisiko erklären. Schlussfolgerung: Grundlage für die Ergebnisse dieser Arbeit war die Entwicklung eines Algorithmus, der externe Faktoren (kontinuierlich Expositionsvariablen, Ereigniszeit-Daten) und hochdimensionale Metabolitenprofile in einem gemeinsamen grafischen Modell integriert. Die Anwendung dieses Algorithmus auf Daten aus der EPIC-Potsdam Kohortenstudie hat gezeigt, dass die beobachteten konditionalen Unabhängigkeitsstrukturen mit der a priori Mediationshypothese konsistent waren. Der frühe Einfluss auf den Aminosäure- und Lipidstoffwechsel könnte die beobachteten Zusammenhänge zwischen drei wichtigen Ernährungsfaktoren und dem Risiko an Typ 2 Diabetes zu erkranken zu großen Teilen erklären. KW - type 2 diabetes KW - nutrition KW - lipid metabolism KW - metabolomics KW - epidemiology KW - networks KW - graphical models KW - mediation analysis KW - red meat KW - whole-grain KW - Diabetes mellitus Typ 2 KW - Ernährung KW - Fettstoffwechsel KW - Metabolomics KW - Epidemiologie KW - Netzwerke KW - grafische Modelle KW - Mediationsanalyse KW - rotes Fleisch KW - Vollkorn KW - Kaffee KW - coffee Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-404592 ER - TY - THES A1 - Stößel, Daniel T1 - Biomarker Discovery in Multiple Sclerosis and Parkinson’s disease T1 - Biomarkerentwicklung in Multiple Sklerose und der Parkinson-Krankheit BT - novel insights into metabolic disease mechanisms N2 - Neuroinflammatory and neurodegenerative diseases such as Parkinson's (PD) and multiple sclerosis (MS) often result in a severe impairment of the patient´s quality of life. Effective therapies for the treatment are currently not available, which results in a high socio-economic burden. Due to the heterogeneity of the disease subtypes, stratification is particularly difficult in the early phase of the disease and is mainly based on clinical parameters such as neurophysiological tests and central nervous imaging. Due to good accessibility and stability, blood and cerebrospinal fluid metabolite markers could serve as surrogates for neurodegenerative processes. This can lead to an improved mechanistic understanding of these diseases and further be used as "treatment response" biomarkers in preclinical and clinical development programs. Therefore, plasma and CSF metabolite profiles will be identified that allow differentiation of PD from healthy controls, association of PD with dementia (PDD) and differentiation of PD subtypes such as akinetic rigid and tremor dominant PD patients. In addition, plasma metabolites for the diagnosis of primary progressive MS (PPMS) should be investigated and tested for their specificity to relapsing-remitting MS (RRMS) and their development during PPMS progression. By applying untargeted high-resolution metabolomics of PD patient samples and in using random forest and partial least square machine learning algorithms, this study identified 20 plasma metabolites and 14 CSF metabolite biomarkers. These differentiate against healthy individuals with an AUC of 0.8 and 0.9 in PD, respectively. We also identify ten PDD specific serum metabolites, which differentiate against healthy individuals and PD patients without dementia with an AUC of 1.0, respectively. Furthermore, 23 akinetic-rigid specific plasma markers were identified, which differentiate against tremor-dominant PD patients with an AUC of 0.94 and against healthy individuals with an AUC of 0.98. These findings also suggest more severe disease pathology in the akinetic-rigid PD than in tremor dominant PD. In the analysis of MS patient samples a partial least square analysis yielded predictive models for the classification of PPMS and resulted in 20 PPMS specific metabolites. In another MS study unknown changes in human metabolism were identified after administration of the multiple sclerosis drug dimethylfumarate, which is used for the treatment of RRMS. These results allow to describe and understand the hitherto completely unknown mechanism of action of this new drug and to use these findings for the further development of new drugs and targets against RRMS. In conclusion, these results have the potential for improved diagnosis of these diseases and improvement of mechanistic understandings, as multiple deregulated pathways were identified. Moreover, novel Dimethylfumarate targets can be used to aid drug development and treatment efficiency. Overall, metabolite profiling in combination with machine learning identified as a promising approach for biomarker discovery and mode of action elucidation. N2 - Neuroinflammatorische and neurodegenerative Erkrankungen wie Parkinson (PD) und Multiple Sklerose (MS) gehen oft mit einer starken Beeinträchtigung der Lebensqualität einher. Effektive Therapien für die Behandlung sind derzeit nicht verfügbar, was nicht zuletzt eine hohe sozioökonomische Last zur Folge hat. Aufgrund der Heterogenität der Krankheitsbilder ist eine Stratifizierung gerade in der Frühphase der Erkrankung schwierig und basiert hauptsächlich auf klinischen Parametern wie bspw. neurophysiologischen Tests und bildgebenden Verfahren. Aufgrund ihrer guten Zugänglichkeit und Stabilität könnten bestimmte Blut- und Liquor-Metabolitenmarker als Surrogat für neurodegenerative Prozesse dienen, zu einem verbesserten mechanistischen Verständnis dieser Krankheiten führen und nicht zuletzt als “treatment response“ Biomarker in präklinischen und klinischen Entwicklungsprogrammen herangezogen werden. In dieser Arbeit sollten deshalb Plasma- und CSF-Metabolitprofile identifiziert werden, die eine Differenzierung von PD zu gesunden Kontrollen, Assoziierung zu PD mit Demenz (PDD) sowie eine Abgrenzung zu unterschiedlichen PD-Subtypen wie akinetisch-rigiden sowie tremor-dominanten PD-Patienten ermöglichen. Weiterhin wurden in dieser Arbeit Plasmametabolite zur Diagnose von primär-progressiver MS (PPMS) erforscht und auf ihre Spezifität gegenüber schubförmig remittierender MS (RRMS) und PD geprüft sowie deren Verlauf während der PPMS Progression getestet. Hierbei konnten durch “untargeted Metabolomics“ in Kombination mit statistischen Modellen mehrere Plasma- und CSF-Metabolite in PD-Patienten/Erkrankten ermittelt werden, die mit Hilfe von statistischen Diagnosemodellen eine Differenzierung zu gesunden Personen ermöglichen. Darüber hinaus wurden in dieser Arbeit PDD-spezifische Serummetabolite identifiziert, die wiederum genutzt werden können, um diesen PD-Typen von gesunden Individuen und PD-Patienten ohne Demenz abzugrenzen. Des Weiteren konnten bei akinetisch-rigiden PD-Patienten spezifische Metabolite entdeckt werden, die im Vergleich zu tremor-dominanten PD-Patienten eine stärkere metabolische Krankheitssymptomatik suggerieren. Im Zusammenhang mit PPMS wurden in dieser Arbeit spezifische Plasma-Metabolite entdeckt, die zur Diagnose gegen RRMS, PD und gesunden Kontrollen genutzt werden können. Interessanterweise zeigte dabei ein spezifisches Lipid geringere Werte im PPMS Krankheitsverlauf, wodurch sich dieses als möglicher Marker zur Progressionsdiagnostik dieser Krankheit qualifiziert. Abschließend konnten in dieser Arbeit im humanen Stoffwechsel bisher unbekannte Angriffspunkte des Medikaments Dimethylfumarat, das zur Behandlung von RRMS verwendet wird, ermittelt werden. Durch diese Ergebnisse kann der bis jetzt gänzlich unbekannte Wirkungsmechanismus dieses neuen Medikaments besser beschrieben und verstanden, sowie zur Weiterentwicklung neuer Medikamente gegen RRMS genutzt werden. KW - metabolomics KW - biomarker KW - multiple sclerosis KW - Parkinson's disease KW - neurodegeneration KW - neuroinflammation KW - machine-learning KW - Parkinson-Krankheit KW - Biomarker KW - Maschinelles-Lernen KW - Metabolomics KW - Multiple-Sklerose Y1 - 2018 ER - TY - JOUR A1 - Stobiecki, Maciej A1 - Skirycz, Aleksandra A1 - Kerhoas, L. A1 - Kachlicki, P. A1 - Muth, D. A1 - Einhorn, J. A1 - Mueller-Roeber, Bernd T1 - Profiling of phenolic glycosidic conjugates in leaves of Arabidopsis thaliana using LC/MS JF - Metabolomics : the official journal of the Metabolomics Society N2 - Profiling of plant secondary metabolites is still a very difficult task. Liquid chromatography (LC) or capillary electrophoresis hyphenated with different kinds of detectors are methods of choice for analysis of polar, thermo labile compounds with high molecular masses. We demonstrate the applicability of LC combined with UV diode array or/and mass spectrometric detectors for the unambiguous identification and quantification of flavonoid conjugates isolated from Arahidopsis thaliana leaves of different genotypes and grown in different environmental conditions. During LC/UV/MS/MS analyses we were able to identify tetra-, tri, and di-glycosides of kaempferol, quercetin and isorhamnetin. Based on our results we can conclude that due to the co-elution of different chemical compounds in reversed phase H PLC systems the application of UV detectors does not allow to precisely profile all flavonoid conjugates existing in A. thaliana genotypes. Using MS detection it was possible to unambiguously recognize the glycosylation patterns of the aglycones. However, from the mass spectra we could not conclude neither the anomeric form of the C-1 carbon atoms of sugar moieties in glycosidic bonds between sugars or sugar and aglycone nor the position of the second carbon involved in disaccharides. The applicability of collision induced dissociation techniques (CID MS/MS) for structural analyses of the studied group of plant secondary metabolites with two types of analyzers (triple quadrupole or ion trap) was demonstrated. KW - liquid chromatography-mass spectrometry KW - metabolite profiling KW - metabolomics KW - flavonoid glycosides Y1 - 2006 U6 - https://doi.org/10.1007/s11306-006-0031-5 SN - 1573-3882 VL - 2 SP - 197 EP - 219 PB - Springer CY - New York ER - TY - JOUR A1 - Steuer, Ralf A1 - Gross, Thilo A1 - Selbig, Joachim A1 - Blasius, Bernd T1 - Structural kinetic modeling of metabolic networks JF - Proceedings of the National Academy of Sciences of the United States of America N2 - To develop and investigate detailed mathematical models of metabolic processes is one of the primary challenges in systems biology. However, despite considerable advance in the topological analysis of metabolic networks, kinetic modeling is still often severely hampered by inadequate knowledge of the enzyme-kinetic rate laws and their associated parameter values. Here we propose a method that aims to give a quantitative account of the dynamical capabilities of a metabolic system, without requiring any explicit information about the functional form of the rate equations. Our approach is based on constructing a local linear model at each point in parameter space, such that each element of the model is either directly experimentally accessible or amenable to a straightforward biochemical interpretation. This ensemble of local linear models, encompassing all possible explicit kinetic models, then allows for a statistical exploration of the comprehensive parameter space. The method is exemplified on two paradigmatic metabolic systems: the glycolytic pathway of yeast and a realistic-scale representation of the photosynthetic Calvin cycle. KW - systems biology KW - computational biochemistry KW - metabolomics KW - metabolic regulation KW - biological robustness Y1 - 2006 U6 - https://doi.org/10.1073/pnas.0600013103 SN - 0027-8424 SN - 1091-6490 VL - 103 IS - 32 SP - 11868 EP - 11873 PB - National Academy of Sciences CY - Washington ER - TY - JOUR A1 - Schwahn, Kevin A1 - Nikoloski, Zoran T1 - Data reduction approaches for dissecting transcriptional effects on metabolism JF - Frontiers in plant science N2 - The availability of high-throughput data from transcriptomics and metabolomics technologies provides the opportunity to characterize the transcriptional effects on metabolism. Here we propose and evaluate two computational approaches rooted in data reduction techniques to identify and categorize transcriptional effects on metabolism by combining data on gene expression and metabolite levels. The approaches determine the partial correlation between two metabolite data profiles upon control of given principal components extracted from transcriptomics data profiles. Therefore, they allow us to investigate both data types with all features simultaneously without doing preselection of genes. The proposed approaches allow us to categorize the relation between pairs of metabolites as being under transcriptional or post-transcriptional regulation. The resulting classification is compared to existing literature and accumulated evidence about regulatory mechanism of reactions and pathways in the cases of Escherichia coil, Saccharomycies cerevisiae, and Arabidopsis thaliana. KW - E. coil KW - S. cerevisiae KW - A. thaliana KW - partial correlation KW - principal component analysis KW - metabolomics KW - data reduction KW - regulation Y1 - 2018 U6 - https://doi.org/10.3389/fpls.2018.00538 SN - 1664-462X VL - 9 PB - Frontiers Research Foundation CY - Lausanne ER -