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Adipositas ist medizinisch und sozioökonomisch ein weltweit an Bedeutung gewinnendes Problem. Bariatrische Chirurgie hat sich als effektivste Möglichkeit zur Behandlung morbider Adipositas erwiesen. Dabei ergeben sich deutliche Verbesserungen des diabetischen Stoffwechsels bereits kurz nach dem Eingriff, bevor ein signifikanter Gewichtsverlust eingetreten ist. Die Mechanismen, die dazu führen, sind dabei noch nicht vollständig aufgeklärt. Ziel der Arbeit war es, mit Hilfe des Metabolomikansatzes herauszufinden, ob bariatrische Chirurgie einen Einfluss auf das Metabolom des Urins hat. Dazu wurden Urinproben von 50 Patienten jeweils prä-operativ und bis zu 13 Tage post-operativ mittels 1H-NMR untersucht und mit Hilfe von multivariaten statistischen Methoden analysiert. Dabei konnte deutlich zwischen prä- und post-operativen Proben unterschieden werden. PLS-DA und OPLS-DA Modelle waren in der Lage, 95 % der Spektren richtig in prä- und post-operativ zu klassifizieren. Zur Unterscheidung trugen in erster Linie die Buckets b20, b49 und b50 bei. Bei Betrachtung der gemittelten Spektren fielen eine Heraufregulation in den ppm-Bereichen 1,20-1,24, 2,1-2,5, 3,2-3,6, 4,1-4,2, 7,40-7,45 und 7,6-7,7 sowie eine Herabregulation in den ppm-Bereichen 7,5-7,6 und 7,8-7,9 jeweils post-operativ auf. Bariatrische Chirurgie verändert somit das Metabolom des Urins. Den Variationen im Spektrum liegen Metabolite zu Grunde, deren Identifikation Rückschlüsse auf Stoffwechselprozesse erlauben. Diese können wiederum Erklärungsansätze für den Gewichtsverlust und die Stoffwechselbeeinflussung in Folge einer bariatrischen Chirurgie liefern. Dieses bessere Verständnis der pathophysiologischen Vorgänge könnte weiterhin zur Entwicklung weniger invasiver chirurgischer Eingriffe oder spezieller, individueller pharmakologischer Therapien führen, zielgerichtet auf Gewichtsverlust und Remission des Diabetes mellitus. Weiterhin könnte Metabolomik bei der Entscheidung über die OP-Methode helfen. Dazu müsste es gelingen, aus einem großen Patientenkollektiv mit mehreren OP-Methoden im Urin z.B. einen Prädiktor zu finden, welcher Gewichtsverlust und Resolution von Komorbidität für einen individuellen Patienten vorhersagt. Insgesamt befindet sich die Metabolomikforschung noch in den Anfängen. Im Besonderen gilt dies für die Dokumentation des Einflusses chirurgischer Eingriffe auf das Metabolom des Urins. Weitere Studien mit einem größeren Patientenkollektiv und alternativen Fragestellungen könnten hier zu einem Erkenntnisgewinn führen.
Interactions between bacteria and the human body are manifold and happen constantly. Most parts of the skin and gastrointestinal tract, the saliva, the oral mucosa, the conjunctiva and the vaginal mucosa are colonized with a multitude of bacterial species forming the human microbiota. Strikingly, the estimated amount of bacterial cells outnumbers the human body by 10 to 1. However, most of these bacteria colonize the human body without positive or negative effects and are regarded as commensals. Staphylococcus aureus a Gram positive bacterium is such a commensal bacterium of 25 % to 30 % of the world population. It is also an opportunistic pathogen and is able to cause infections in the lung, skin and heart and to induce sepsis. Its pathogenicity is mainly facilitated by the secretion of a broad spectrum of virulence factors which interact with the host. Some are distracting the immune system, others are targeting the host cell membrane or degrade macromolecular structures of the host in order to provide nutrients. Furthermore S. aureus is able to invade the host cell and to survive and replicate in the host cell cytosol or other compartments. The Gram negative proteobacterium Burkholderia pseudomallei is an environmental bacterium but still has the ability to enter the human body via body orifices or skin wounds. In a very efficient way it penetrates the host cell, replicates intracellular and the uses host structures to spread from cell to cell thereby causing the disease melioidosis often with fatal outcomes. Since the natural habitats of B. pseudomallei are wet soils, the change to the environment in the human body is drastic and requires a high degree of flexibility of the bacterium. Environmental stress conditions such as temperature, pH, nutrient limitation or presence of antibiotics induce a switch of colony morphology which is a special characteristic of this bacterium. Since it is assumed, that changes in colony morphology are connected to adaptive processes to the environmental changes, these morphology switches might also be important during infection. The host organism and the host cell on the other side try to kill and remove the bacterial threat by activating the immune system and cellular defence mechanisms. This includes generation of reactive oxygen and nitrogen species, production of antimicrobial peptides and cellular processes such as phagocytosis, autophagy, apoptosis and activation of the immune response. The actions and reactions on both, the pathogen side and the host side, are summarized as host-pathogen interactions. In the field of functional genomics, methods were developed to understand various levels of host-pathogen interactions. The holistic analysis of the mRNA (the transcriptome) or translated proteins (the proteome) were already very useful tools to describe important cellular processes on the host and the pathogen site. The level of metabolites with regard to host-pathogen interactions however, has been neglected so far. In this dissertation the metabolic composition in the intracellular and extracellular space of the host and the pathogen was analyzed. For this matter biochemical analytical tools were used such as 1H-nuclear magnetic resonance spectroscopy and chromatographic methods (GC and HPLC) coupled to mass spectrometry. The combination of these methods allows a broad coverage of physicochemical diverse metabolites. In accordance to the above mentioned biological levels like mRNA and proteins, the sum of all metabolites is referred as the metabolome. Consequently to transcriptomics and proteomics the analysis of the metabolome is referred as metabolomics. To gain insights into the infection relevant metabolome of the host-pathogen relationship between S. aureus and human lung cells several approaches were developed. First the distribution of the recently identified bacillithiol in different S. aureus strains was investigated with regard to its role during the infection. For that matter a HPLC-methodology was used with fluorescence based detection of labelled low molecular weight thiols (article I: Distribution and infection-related functions of bacillithiol in Staphylococcus aureus). After that the next aim was to reveal the effect of S. aureus on the host cell metabolism. To reduce the complexity of effects on the host cells an artificial model was chosen in a first approach. The lung cells were treated with the staphylococcal virulence factor alpha-hemolysin, a pore forming toxin and a holistic metabolomics approach was performed (article II: Staphylococcus aureus Alpha-Toxin Mediates General and Cell Type-Specific Changes in Metabolite Concentrations of Immortalized Human Airway Epithelial Cells). Using this approach, a protocol for cell culture metabolomics was established and first changes in the host cell metabolome that could be caused by S. aureus were described. However, this only describes specific changes caused by one single virulence factor and does not necessarily describes the reality during a S. aureus infection. Therefore in a next approach, an infection model using a human lung epithelial cell line and the S. aureus strain USA300 was established and used for metabolome analysis. Furthermore a combination of inhibitor treatment and metabolic labelling was used to clarify the metabolic activity in the host cell after exposure to S. aureus (article III: Metabolic features of a human airway epithelial cell line infected with Staphylococcus aureus revealed by a metabolomics approach). Finally this thesis deals with the host-pathogen interaction of B. pseudomallei and its host with a focus on the role of the switch in colony morphology in basic metabolism. Various morphotypes of two strains were generated by nutrient limitation and their uptake of nutrients was monitored. Furthermore the morphotypes were used in in vitro and in vivo infections and subsequently isolated out of the cell line and mice respectively. After isolation, the colony morphology was determined and again the nutrient uptake profile was monitored (article IV: Burkholderia pseudomallei morphotypes show a synchronized metabolic pattern after acute infection). The information provided by this thesis adds a new complexity to the knowledge about the host-pathogen interactions of S. aureus and B. pseudomallei and their hosts. It furthermore lays the groundwork for future studies, which will deal with these and other bacterial host-pathogen interactions in order to understand the interdependencies of infection and metabolism.
Aiming at the goal of individualized medicine, this dissertation develops a generic methodology to individualize risk factors and phenotypes via metabolomic data from the urine. As metabolomic data can be seen as a holistic representation of the metabolism of an organism at certain time point, metabolomic data contain not only information about current life-style factors like diet and smoking but also about latent genetic traits. Utilizing this integrative attribute, the dissertation delivers a metric for biological age (the metabolic age score) which was shown to be informative beyond chronological age in three independent samples. It was associated with a broad range of age-related comorbidities in two large population-based cohorts, predicted independently of classical risk factors mortality and, moreover, it predicted weight loss subsequently to bariatric surgery in a small sample of heavily obese individuals.
Subsequently to this work, the dissertation built a definitional framework justifying the procedure underlying the metabolic age score, delivering a general framework for the construction of individualized phenotypes and thereby an operationalization of individualization in statistical terms. Conceptualizing individualization of the process of differentiation of individuals showing the same phenotype despite different underlying biological traits, it was shown formally that the prediction error of a statistical model approximating a phenotype is always informative about the underlying biology beyond the phenotype if the predictors fulfill certain statistical requirements. Thus, the prediction error facilitates the meaningful differentiation of individuals showing the same phenotype. The definitional framework presented here is not restricted to any kind of data and is therefore applicable to a broad range of medical research questions.
However, when utilizing metabolomic data, technical factors, data-preprocessing, pre-analytic features introduce unwanted variance into the statistical modeling. Thus, it is unclear whether predictive models like the metabolic age score are stable enough for clinical application. The third part of this doctoral thesis provided two statistical criteria to decide which normalization method to remove the dilution variance from urinary metabolome data performs best in terms of erroneous variance introduced by the different methods, aiding the minimization of biological irrelevant variance in metabolomic analyses.
In conclusion, this doctoral thesis developed a general, applicable, definitional framework for the construction of individualized phenotypes and demonstrated the value of the methodology for clinical phenotypes on metabolomic data, improving on the way the statistical treatment of urinary data regarding the dilution correction.
The thyroid gland is of crucial importance in human metabolism. Its main secretion products, L-thyroxine (T4) and 3,3’,5-triiodo-L-thyronine (T3), are essential for proper development of multiple tissues and organs as well as for their functioning in the adult organism. The secretion of thyroid hormones (TH) is stimulated by thyrotropin (TSH) released from the pituitary gland. This tight connection between both hormones is of crucial importance for the clinical diagnosis of thyroid dysfunction. During the last two decades the concept of TH action developed to increased complexity. However, most of the recent advances in the field of TH research are based either on cell culture, tissue or animal models or stem from studies investigating specific hypotheses in humans. Thus, experimental approaches for the comprehensive, hypothesis-free characterization of metabolic effects of classical and non-classical TH in human are urgently needed. This holds true in particular for the TH derivative 3,5-diiodothyronine (3,5-T2). It was described to alleviate the typical detrimental metabolic consequences of a high-fat diet and even reversed hepatic steatosis. To replicate these experimental findings from rodents in humans, comprehensive data from the population-based Study of Health in Pomerania (SHIP) was analyzed in the present work. Based on a euthyroid, diabetes-free SHIP-subsample (N=761), non-linear associations between the serum concentrations of 3,5-T2 and glucose as well as TSH were detected. In contrast, no significant 3,5-T2 associations with several anthropometric markers or blood lipid parameters were observed, partially questioning the transferability of the beneficial metabolic 3,5-T2 effects reported for pharmacological intervention studies on rodents to humans. Recent advances in technological development now allow for the use of high-throughput spectrometric platforms to characterize the small molecule content (metabolome) of blood and urine samples. The detected metabolome constituents can be associated with any relevant parameters of interest, thereby extending the scope of classical association studies. Therefore, in the second part of the present thesis, the metabolic fingerprints of FT4, TSH as well as the ratio log(TSH)/FT4 as markers of thyroid function were profiled. Strong differences between the metabolic fingerprints of FT4 and TSH were observed, partially alleviated by the log(TSH)/FT4 ratio. These findings not only emphasize the high diagnostic value of the combined evaluation of TSH and FT4 in the assessment of thyroid function but additionally argue for a holistic approach in the diagnosis of thyroid function. More moderate endogenous effects of 3,5-T2 were evaluated by comparing its urinary metabolic fingerprint with that of the classical TH. A number of associations became apparent, indicating a function of endogenous 3,5-T2 in intermediary metabolism. Besides partially confirming associations with respect to the presented findings in animal studies, the strongest 3,5-T2-association was observed with trigonelline, a metabolite described earlier to exhibit similar beneficial effects as 3,5-T2 on glucose metabolism when used as a pharmacological agent in animal studies. An association towards hippurate indicated a partial overlap with the metabolic profile of TSH and hence consolidated results from the first two projects in the sense of a thyromimetic role of 3,5-T2 in the feedback regulation of TH. The diagnosis of thyroid disorders based on the classical markers TSH and FT4 suffers from restricted sensitivity in the subclinical range as both parameters have broad reference ranges in the general population. Therefore, in an approach to detect novel peripheral biomarkers of thyroid function, sixteen healthy young men were challenged with 250 µg of levothyroxine (L-T4) over a period of eight weeks in the fourth project presented here as part of this thesis. Monitoring of the volunteers over a period of sixteen weeks allowed delineation of the metabolic shifts first towards thyrotoxicosis and later in the context of the restoration of euthyroidism. The use of mass spectrometry for the comprehensive characterization of the metabolite as well as the protein content of samples taken at the different time points revealed profound molecular alterations, despite the lack of any clinical symptoms in the volunteers. Molecular signatures of thyrotoxicosis indicated increased energy expenditure, pronounced defense against systemic oxidative stress, a general drop in apolipoproteins, as well as increased abundances of proteins related to the coagulation cascade and the complement system. Good and robust classification of the thyroid state independent of TSH and FT4 was achieved using random forest analysis with a subset of fifteen metabolites and proteins, indicating new options in the individualized diagnosis of thyroid disorders.
Die vorliegende Studie ist die erste, die den breiten Effekt von IGF-I auf den menschlichen Metabolismus abbildet. Es zeigt sich ein facettenreiches Bild aus IGF-I assoziierten Metaboliten in Plasma und Urin, das die vielfältigen biologischen Effekte von IGF-I repräsentiert. Ein besonderer Befund ist die große Diskrepanz zwischen Frauen und Männern in den metabolischen Profilen von IGF-I, die eine Verbindung zu geschlechtsspezifischen Assoziationen zwischen IGF-I und bevölkerungsrelevanten Erkrankungen darstellen könnte. Zudem konnte der Zusammenhang von IGF-I mit dem Lipidstoffwechsel sowie Peptiden und Aminosäuren bestätigt werden. Für einige dieser Assoziationen gibt es nach aktuellem Forschungsstand bereits molekulare zellbiologische Erklärungsansätze. Viele der detektierten Metaboliten lassen sich in den Zusammenhang zu IGF-I assoziierten Erkrankungen einordnen: beispielsweise Betaine und Cortisol mit kardiovaskulären Erkrankungen, Diabetes, Dyslipiämie und dem Metabolischen Syndrom. Bradykinin und einige Fettsäurederivate sowie Cortisol verbinden IGF-I mit inflammatorischen Prozessen, ihre inverse Assoziation mit IGF-I kann unter anderem zur Erklärung des Zusammenhangs mit endothelialen Entzündungsprozessen wie der Atherosklerose beitragen. Für andere Metabolite ergeben sich Assoziationen zu Wachstum und Zelldifferenzierung, darunter Phospholipide sowie Aminosäure- bzw. Peptidabkömmlinge. Unsere Daten bestätigen den vielfältigen Einfluss von IGF-I auf den menschlichen Metabolismus, wie aus vorherigen Experimentalstudien beschrieben. Die vorliegenden Ergebnisse aus relativ gesunden Probanden erlaubt die Identifikation von IGF-I assoziierten Biomarkern. Warum sich nur für einige spezifische Repräsentanten pro Stoffgruppe signifikante Assoziationen ergeben und welche spezifischen molekularen zellbiologischen Prozesse dem zugrunde liegen, kann hier nicht allumfassend beantwortet werden. Zur weiteren Überprüfung der generierten Hypothesen, zur Klärung der genauen pathophysiologischen Auswirkungen von IGF-I auf den Metabolismus und auch zur Findung neuer Diagnose- und Therapiekonzepte für IGF-I assoziierte Erkrankungen, sind weitere unabhängige, interventionelle und experimentelle Studien erforderlich.
Analyse der metabolischen Anpassung von Streptococcus pneumoniae an antimikrobielle Umwelteinflüsse
(2019)
Das Gram-positive Bakterium Streptococcus pneumoniae ist ein humanspezifisches Pathogen des oberen Respirationstraktes. Der opportunistische Krankheitserreger kann jedoch mehrere Organe befallen und tiefer in den Körper vordringen, was zu lokalen Entzündungen wie Sinusitis und Otitis media oder zu lebensbedrohlichen Infektionen wie Pneumonie, Meningitis oder Sepsis führen kann. Für das Bakterium S. pneumoniae wurden bisher kaum Metabolom-Daten erhoben. Daher war das Ziel dieser Dissertation eine umfassende Charakterisierung des Metaboloms von S. pneumoniae. In dieser Dissertation wurden als analytische Methoden die Gaschromatografie (GC) und Flüssigkeitschromatografie (LC) jeweils gekoppelt mit Massenspektrometrie (MS) sowie die Kernspinresonanzspektroskopie (NMR) verwendet, um die Metaboliten zu analysieren. Es sind mehrere Analysetechniken erforderlich, um den Großteil des Metaboloms mit seinen chemisch verschiedenen Metaboliten zu erfassen. Artikel I fasst die Literatur zu Untersuchungen des Metabolismus von S. pneumoniae in den letzten Jahren zusammen. Um eine Momentaufnahme des biologischen Systems zum jeweiligen Zeitpunkt zu erhalten, ist neben dem reproduzierbaren Wachstum während der Kultivierung auch die exakte Probenahme zu beachten. Aus diesem Grund wurde in dieser Dissertation ein Probenahmeprotokoll für das Endometabolom von S. pneumoniae etabliert (Artikel II). Mithilfe des optimierten Protokolls wurde eine umfassende Metabolomanalyse in einem chemisch definierten Medium durchgeführt (Artikel II). Um S. pneumoniae in einer Umgebung ähnlich der im Wirt zu untersuchen, wurde in einem modifizierten Zellkulturmedium kultiviert. Intermediate zentraler Stoffwechselwege von S. pneumoniae wurden analysiert. Das intrazelluläre Stoffwechselprofil wies auf einen hohen glykolytischen Flux hin und bot Einblicke in den Peptidoglykan-Stoffwechsel. Darüber hinaus widerspiegelten die Ergebnisse die biochemische Abhängigkeit von S. pneumoniae von aus dem Wirt stammenden Nährstoffen. Ein umfassendes Verständnis der Stoffwechselwege von Pathogenen ist wichtig, um Erkenntnisse über die Anpassungsstrategien während einer Infektion zu gewinnen und so neue Angriffspunkte für Wirkstoffe zu identifizieren.
Die zunehmende Verbreitung von resistenten S. pneumoniae-Stämmen zwingt zur Suche nach neuen antibiotisch wirksamen Substanzen. Im Zuge dessen wurde in Artikel III die metabolische Reaktion von S. pneumoniae während des Wachstums unter dem Einfluss antibakterieller Substanzen mit dem Ziel der Identifizierung metabolischer Anpassungsprozesse untersucht. Dabei wurden Antibiotika mit unterschiedlichen Wirkmechanismen verwendet, wie die Beeinflussung der Zellwandbiosynthese (Cefotaxim, Teixobactin-Arg10), der Proteinbiosynthese (Azithromycin) sowie Nukleotidsynthese (Moxifloxacin). Es konnten keine Wirkmechanismus-spezifischen Marker-Metaboliten identifiziert werden. Jedes Antibiotikum verursachte weitreichende Veränderungen im gesamten Metabolom von S. pneumoniae. Die Nukleotid- und Zellwandsynthese waren am stärksten betroffen. Besonders vielversprechend sind Antibiotika mit zwei Wirkorten wie Teixobactin-Arg10 und Kombinationen aus zwei Antibiotika. In dieser Dissertation wurde das erste Mal das synthetisch hergestellte Teixobactin-Arg10 mittels einer der modernen OMICS-Techniken untersucht. Die vorliegende umfassende Metabolom-Studie bietet wertvolle Erkenntnisse für Forscher, die an der Identifizierung neuer antibakterieller Substanzen arbeiten.
Insgesamt tragen die Ergebnisse der Dissertation zu einem besseren Verständnis der bakteriellen Physiologie bei.
Periodontitis is one of the most prevalent oral diseases worldwide caused by multifactorial interactions between host and oral bacteria. Altered cellular metabolism of host and microbes releases a number of intermediary end-products known as metabolites. Recently, there is an increasing interest in identifying metabolites from oral fluids like saliva to widen the understanding of the complex pathogenesis of periodontitis. It is believed, that some metabolites might serve as indicators toward early detection and screening of periodontitis and perhaps even for monitoring its prognosis in the future. Because contemporary periodontal screening methods are deficient, there is an urgent need for novel approaches in periodontal screening procedures. To this end we associated oral parameters (clinical attachment level, periodontal probing depth, supragingival plaque, supragingival calculus, number of missing teeth, and removable denture) with a large set of salivary metabolites (n=383) obtained by mass spectrometry among a subsample (n=909) of non-diabetic participants of the Study of Health in Pomerania (SHIP-Trend-0). Linear regression analyses were performed in age-stratified groups and adjusted for potential confounders. A multifaceted image of associated metabolites (n=107) with considerable differences according to age groups was revealed. In the young (20-39 years) and middle-aged groups (40-59 years), we found metabolites predominantly associated with periodontal variables; whereas among the older subjects (60 + years), tooth loss was strongly associated with metabolite levels. Metabolites associated with periodontal variables were clearly linked to tissue destruction, host- defence mechanisms and bacterial metabolism. Across all age groups, the bacterial metabolite phenylacetate was significantly associated with periodontal variables. Our results revealed alterations of the salivary metabolome in association with age and oral health status. Among our comprehensive panel of metabolites, periodontitis was significantly associated with the bacterial metabolite phenylacetate, a promising substance for further biomarker research.
Die gestörte Glukosetoleranz (engl. impaired glucose tolerance, IGT) ist eines der präsymptomatischen Zustände des Typ-2-Diabetes mellitus (T2DM) und erfordert zur Diagnose einen oralen Glukosetoleranztest (oGTT). Ziele dieser Arbeit waren:
1) die Identifikation einer Metabolitsignatur zur Vorhersage einer IGT,
2) die pathophysiologische Einordnung der bedeutendsten Assoziationen und
3) die Identifizierung von Untergruppen innerhalb der IGT-Population, um so erste
Hinweise auf eine Patientenstratifizierung anhand objektivierbarer Metabolitmarker im
Blut zu erlangen.
Dazu dienten Metabolomdaten basierend auf Massenspektrometrie und Kernspinresonanzspektroskopie von 827 Teilnehmern der Study of Health in Pomerania (SHIP)-TREND. Durch einen targeted und non-targeted Anlayseansatz konnte ein breites Spektrum an Metaboliten erfasst und mithilfe statistischer und bioinformatischer Methoden die Assoziationen zum oGTT-Outcome, zur 2-Stunden Insulinkonzentration und daraus abgeleitet zur IGT, ausgewertet werden. Aus über 100 assoziierten Molekülen konnten beteiligte Stoffwechselwege, wie etwa der Katabolismus von verzweigtkettigen Aminosäuren und Veränderungen im Lipoprotein- und Fettstoffwechsel herausgearbeitet werden. Zudem konnte eine integrative Signatur zur Vorhersage einer IGT abgeleitet werden. Es wurde ein verbessertes IGT-Prädiktionsmodell etabliert, welches auf einer Kombination von Metaboliten und klinischen Merkmalen basiert. Diese Befunde sind jedoch in klinischen Studien zu prüfen. Über Verfahren des maschinellen Lernens konnten zwei Cluster innerhalb der IGT-Population identifiziert werden. Die IGT-Cluster spiegeln möglicherweise unterschiedlich fortgeschrittene IGT-Stadien oder verschiedene Ätiopathogenesen wider. Metabolitsignaturen könnten demnach gegebenenfalls eine frühzeitige Patientenstratifizierung ermöglichen. Somit wären bereits IGT-Patienten einem Risikoprofil zuzuordnen, was eine zuverlässigere T2DM- Risikoprognose erlauben würde. Durch rechtzeitige Präventivmaßnahmen bei IGT-betroffenen Personen könnte die Manifestation eines T2DM unter Umständen verhindert werden.
Die hier vorgestellten Befunde sind jedoch als vorläufig zu betrachten und bedürfen einer Replikation in unabhängigen Studien. Die Subtypen-Klassifizierung sollte idealerweise in einer längsschnittlichen Follow-up-Studie examiniert werden, um eine tatsächliche klinische Relevanz zu belegen. Von besonderer Bedeutung wäre dabei die Untersuchung der IGT-Cluster im Follow-up hinsichtlich eines Ansprechens auf allgemeine Interventionsmaßnahmen wie z.B. Lebensstiländerungen aber auch hinsichtlich einer spontanen IGT-Regredienz oder Progression zu einem T2DM und damit einhergehenden Komplikationen.
Androgene sind bei Männern und Frauen hochkomplex in die Regulation des humanen
Metabolismus involviert, prägen in beträchtlichem Ausmaß die Körpermorphologie und können bei
Dysregulation in zahlreichen Erkrankungen resultieren. Jedoch ist die Rolle der Androgene auf den
Metabolismus bisher nicht vollständig erforscht und auch die detaillierten Mechanismen der
Interaktion sowie die abschließende Bedeutung für die Entstehung von Krankheiten sind
größtenteils unklar. Ziel der vorliegenden Arbeit war daher, mit Hilfe der Metabolomik - der
Bestimmung molekularer Stoffwechselzwischen- und endprodukte - einen Beitrag zum besseren
Verständnis der Wechselwirkungen zwischen dem Androgenhaushalt und Metabolismus zu leisten.
Die Datengrundlage der vorliegenden Arbeit wird aus einer Studienpopulation bestehend aus 430
Männern und 343 Frauen in einem Alter zwischen 20 und 79 Jahren gebildet, welche im Rahmen
der populationsbasierten Querschnittsstudie SHIP-TREND rekrutiert wurden. Unter Verwendung
von massenspektrometrischen Messmethoden und durch lineare Regressionsmodelle wurden
Assoziationen zwischen den Androgenen Testosteron, Androstendion und
Dehydroepiandrosteronsulfat beziehungsweise dem Transportprotein SHBG (sexual hormonebinding globulin) und Metaboliten aus Plasma und Urin identifiziert und anschließend ausgewertet.
Die Analysen offenbarten eine deutliche geschlechtsspezifische Differenz in Androgen-assoziierten
Metaboliten, beispielsweise bezüglich Urat, verschiedenen Lipiden und zahlreichen
Surrogatparametern für Lebensstilfaktoren, wie Piperin, Cotinin oder Trigonellin. Auffallend ist
hierbei, dass, im Vergleich zu Männern, Androgene bei Frauen, insbesondere bei Betrachtung von
postmenopausalen Frauen, eine deutlich stärkere Assoziation mit Metabolitkonzentrationen in
Plasma und Urin zeigten. Besonders deutlich wurde dieses Phänomen bei Untersuchungen
zwischen Dehydroepiandrosteronsulfat und verschiedenen Lipidderivaten. Letzterem ist eine
besonders hohe klinische Bedeutung beizumessen, da sich Veränderungen im Androgenhaushalt
bei Frauen häufig im Zusammenhang mit metabolischen und kardiovaskulären Erkrankungen
präsentieren. Weiterhin konnte in der vorliegenden Arbeit eine neuartige Beobachtung bezüglich
der Assoziation zwischen Androstendion und dem Metabolismus biogener Amine, wie Dopamin
oder Serotonin, dokumentiert werden. Überraschend war die geringe Überschneidung von
Androgen-assoziierten Metaboliten, insbesondere Dehydroepiandrosteron, über die Geschlechter
hinweg.
Die Ergebnisse dieser Arbeit liefern neue Einblicke in die Interaktion zwischen Androgenen und dem
humanen Metabolismus und ermöglichen es, insbesondere für den weiblichen Stoffwechsel,
Rückschlüsse zu ziehen sowie etwaige klinische Fragestellungen zukünftig in isolierten Studien zu
untersuchen.
Analysis of bioactive lipids from different infection models during bacterial and viral infections
(2021)
Bioactive lipids or lipid mediators influence numerous processes like the reproduction, the bone turnover, the pain perception, the cardiovascular function and the immune system. Eicosanoids and oxylipins are parts of the immunomodulatory lipid mediators, which can be synthesized from polyunsaturated fatty acids (PUFAs) by enzymatic and non-enzymatic reactions. Typical members of eicosanoids are prostaglandins and leukotrienes. The properties of bioactive lipids include the activation of inflammatory reactions as well as the support of resolution. Like hormones, they act locally restricted and in low concentrations. Further bioactive lipids exist i.e. intermediates of the sphingolipid class. The biosynthesis of some of these compounds like the prostaglandins can be influenced by different drugs whereas for other groups of lipid selective inhibitors are still missing. Their impact on inflammatory processes and against chronic diseases has already been analyzed, while studies in context with infection are largely limited. Infection of the upper respiratory tract caused by viral and bacterial pathogens constitute a huge burden for the human healthcare. The main pathogens are the Influenza A virus (IAV), Staphylococcus aureus (S. aureus), Streptococcus pneumoniae (S. pneumoniae) and Streptococcus pyogenes (S. pyogenes). Besides mono-infection with one of these pathogens, frequently occurring bacto-viral co-infections exist, which negatively influence the etiopathology. The main task of the immune system is the detection and the elimination of pathogens, which can essentially be affected by lipid mediators. Their instability due to oxidizability, the existence of regioisomers and the low abundance of eicosanoids and other oxylipins are the main problems for their analytical measurement.
The mayor objective of this dissertation was the establishment of a suitable analytical method for selected lipid mediators and the detection of infection-related changes. The separation and detection was performed by using high-performance liquid chromatography (HPLC) coupled with triple quad mass spectrometry. This combination is called tandem mass spectrometry (MS/MS). The MS parameters were optimized for approximately 30 lipid mediators by use of chemical standards and the detection was achieved by dynamic multiple reaction monitoring (MRM). Furthermore, the spatial resolution of selected sphingolipids was analyzed in tissue samples using matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MS-Imaging). Concerning the HPLC-MS/MS detection, an MS method was established and optimized with standard compounds. Another crucial part of the establishment was the extraction of bioactive lipids from the different sampling materials. Whereas well tested protocols exist for the extraction and detection of lipid mediators, such protocols for MALDI-MS-Imaging are still limited due to the novelty of this measurement. Ultimately, robust and reproducible protocols for both techniques that were used for the analysis of a broad array of samples from infection experiments were established for both techniques. The analyses of infected cell culture, mice and pigs revealed infection-related perturbations of host lipid mediator levels. Depending on the scientific issue, the sample types cell pellets, lungs, spleens, livers, blood plasmas, pawns including bones or bronchoalveolar lavages were analyzed. For MALDI-MS-Imaging, the spatial distribution of sphingolipids in lung and spleen was detected.
The present dissertation includes four coherent research scopes, in which the pathogen impact on host-derived lipid mediators was detected with the above mentioned analytical methods. The infection models epithelial cells (article II), mouse (article III and IV) and pig (article I) – the latter as the most human like model - showed different aspects of the host-pathogen interaction. The analysis of samples from IAV infection for all three hosts revealed a couple of similarities for some oxylipins that were also described in human infections. Additionally, cell culture and mouse samples from mono-infections as well as co-infections with the pathogens S. aureus and S. pneumoniae were measured. In particular for the bacterial mono- and co-infections, these are the first published results with aspects of infection related changes of lipid mediators. The additional spatial resolution of the sphingolipid intermediates sphingosine 1-phosphate and ceramide 1-phosphate revealed important new insights into their tissue distribution and changes during co-infection.
Article I describes the IAV-specific oxylipin changes in the pig (german landrace) as infection model. Therefore, the sample types lung, spleen, blood plasma, and bronchoalveolar lavage from infected animals at different time points after infection were analyzed and compared with samples from uninfected pigs. Mainly in the lung and the spleen, increased amounts of certain lipid mediators were observed. These changes coincide well with already described alterations in humans and mice. Furthermore, the analysis of different sample material provided an overview about appropriate sample types. Surprisingly, many perturbations were detected in the spleen, which itself was uninfected. Based on the local reaction of lipid mediators, most studies concentrate on sample material with close contact to side of infection. Therefore, this dissertation reveals new insights into a form of systemic immune response. Besides the use of animals with a complex immune system for infection experiments, human bronchial epithelial cells (16HBE) were mono- and co-infected with the pathogens S. aureus, S. pneumoniae and IAV as described in article II. Such cells are the initial barrier for and first contact site with pathogens and thus the comprehension of this host-pathogen interaction is of essential importance. Most changes were detected during pneumococcal infection. Furthermore, the analyzed infections with bacterial pathogens differed from IAV infection by an increased synthesis of 5-hydroxyeicosatetraenoic acid (HETE). For further infections with the above mentioned pathogens, the mouse was used as an infection model. Besides infections affecting the respiratory tract, also the impact of an S. pyogenes infection in different mice strains was analyzed and described in article III. Infection-related changes in prostaglandins, which are involved in bone turnover in swollen pawns as well as enhanced amounts of sepsis- and arthritis-associated lipid mediators were detected, in case arthritis had been induced prior to infection. Furthermore, increased amounts of 20-HETE could be observed for such severe infections. An enhanced biosynthesis of 20-HETE was further confirmed in a high-pathogenic S. aureus LUG2012 infection in article IV for all examined sample types. In this last article of this dissertation, bacterial and viral infections in mice were analyzed similar to those described in article II. Mainly IAV-specific lipid mediator alterations were detected, which are in accordance with the findings of the infected pigs. The additional MALDI-MS-Imaging measurements revealed so far unknown accumulation of ceramide 1-phosphate in lung and spleen as well as enrichment in the red pulp of the spleen.
In summary, this dissertation provides substantial lipid mediator profiles for infections in three different model systems with selected bacterial and viral pathogens. The obtained data constitute a suitable basis for continuative research projects, in which the influence of single bioactive lipids on the course of infection could be examined in more detail.