@phdthesis{Jaud2023,
  author    = {Jaud, Tobias Armin},
  title     = {Application based personalized food choices and health sustainment: scientific background and investigation of biomarkers in human tissue specimens},
  doi       = {10.25972/OPUS-29864},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-298646},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Dietary fatty acids serve as objective biomarkers for the estimation of habitual diet mainly because biomarkers are free of memory bias or inaccuracies of food databases. The aim of the present work encompassed the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens, their analytical determination and statistical evaluation in two different study populations and different biospecimens as well as the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. The first aim was the identification of potential influence of fatty acid biomarkers on desaturase and elongase indexes (Δ9DI, Δ6DI, Δ5DI and ELOVLI5), which are factors in type 2 diabetes risk, in breast adipose tissue from healthy women. Influence of further variables on respective indexes was also investigated. 40 samples were investigated and potential variables were either collected by questionnaire or determined. Principle component analysis was applied for fatty acid biomarkers (PCdiet1, PCdiet2 and PCdiet3 representative for the dietary intake of vegetable oils/nuts, fish and partially hydrogenated vegetable oils), endogenous estrogens (PCE1) and oxysterols (PCOxy1). Multiple linear regression models were applied. Δ9DI and Δ6DI were influenced non-significantly and significantly negatively by PCdiet2 supporting a putative beneficial effect of vegetable oils and nuts on type 2 diabetes risk factors. ELOVLI5 and Δ5DI were influenced significantly and non-significantly positively by PCdiet1 supporting a putative beneficial effect of fish consumption on type 2 diabetes risk factors. On the other hand, PCdiet1 also significantly and non-significantly positively influenced Δ9DI and Δ6DI supporting a putative adverse effect of fish biomarkers on type 2 diabetes risk factors. The opposing influences of PCdiet1 suggesting an ambivalent role of dietary intake of fish on investigated indexes. Δ6DI was significantly positively influenced by PCdiet3 and number of pregnancies supporting a putative adverse effect of partially hydrogenated vegetable oils and pregnancies on type 2 diabetes risk factors. Lifestyle factors like smoking significantly and non-significantly influenced Δ9DI and Δ6DI putatively adversely. Δ5DI was influenced significantly positively by estrogen active drugs suggesting a putative beneficial effect on type 2 diabetes risk factors. It must be considered that a variation coefficient of up to 0.44 only explained 44\% of variance of the respective indexes, suggesting other influencing factors might play a role. The second aim was the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens. The method was optimized for separation and detection of 40 fatty acids. Mean recovery for tridecanoic acid was x(tridecanoic acid) = 90.51\% and for nonadecanoic acid x(nonadecanoic acid) = 96.21\%. Thus, there was no significant loss of fatty acids with shorter and longer carbon chains over the extraction process to be expected. Limit of detections were calculated in adipose tissue samples and ranged from 0.007 to 0.077\% of the proportion of the respective fatty acid to total fatty acids. The third aim was the investigation if differentiation between breast glandular and adipose tissue had a relevant impact on the analysis of dietary fatty acid biomarkers or if contamination of breast glandular with breast adipose tissue and vice versa was neglectable for the analysis of dietary fatty acid biomarkers. No statistical significant differences were observed for all investigated fatty acid biomarkers (pentadecanoic-, heptadecanoic-, trans palmitoleic-, eicosapentaenoic-, docosahexaenoic-, linoleic and α-linolenic acid) between breast glandular and adipose tissue. Thus, differentiation between breast glandular and adipose tissue seems not to be necessary for the analysis of fatty acids serving as biomarkers for the intake of specific food groups. Potential influence of mixed breast tissue on fatty acid biomarkers analysis seems to be neglectable. The fourth aim was the determination of fatty acid biomarkers in adipose tissue in another study population from healthy participants. 27 adipose tissue samples were analyzed. Milk and ruminant fat biomarkers exhibited proportions of 0.47\% for pentadecanoic acid, 0.34\% for heptadecanoic acid and 0.25\% for trans palmitoleic acid. Fish fatty acid biomarkers revealed proportions of 0.034\% for eicosapentaenoic acid and 0.061\% for docosahexaenoic acid. The mean proportion of vegetable oils and nuts biomarkers were 9.58\% for linoleic acid and 0.48\% for α-linolenic acid in all adipose tissues. Principle component analysis was applied for the fatty acid biomarkers to provide objective markers of habitual diet for this study population. PCdiet1 was mainly characterized by pentadecanoic acid, heptadecanoic acid and trans palmitoleic acid and therefore served as a principle component for the dietary intake of milk and ruminant fat. PCdiet2 and PCdiet3 only exhibited pattern for ω3 and ω6 fatty acids but not for dietary intake of specific food groups and could therefore not used as objective marker. PCdiet1, 2 and 3 explained 82.76\% of variance. The last aim of this thesis was the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. Scientific information on adverse reactions to food ingredients and trigger substances was provided in this thesis and possible implementation strategies were evaluated. For food allergens, which have regulatory requirements in the context of labelling, a strategy was elaborated, where it is necessary to provide information on the list of ingredients, the nexus 'contain' and the respective food allergen as well as information on the name of the product. For food intolerances, which do not have regulatory requirements, limits were shown in the context of the application. If the elaborated food intolerances shall be implemented into the application, a professional dietary concept has to be developed for every food intolerance because of the complexity of the implementation.},
  subject      = {Lebensmittelchemie},
  language  = {en}
}
@phdthesis{Adler2012,
  author    = {Adler, Melanie},
  title     = {New approaches to improve prediction of drug-induced liver injury},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-69512},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Das h{\"a}ufige Scheitern neuer Arzneistoffkandidaten aufgrund von Lebertoxizit{\"a}t in pr{\"a}klinischen und klinischen Studien stellt ein erhebliches Problem in der Entwicklung von neuen Arzneimitteln dar. Deshalb ist es wichtig, neue Ans{\"a}tze zu entwickeln, mit deren Hilfe unerw{\"u}nschte Wirkungen von Arzneimitteln fr{\"u}her und zuverl{\"a}ssiger erkannt werden k{\"o}nnen. Um die Vorhersage von Lebertoxizit{\"a}t in pr{\"a}klinischen Studien zu verbessern, wurden im Rahmen dieser Arbeit zwei wesentliche Ans{\"a}tze gew{\"a}hlt: 1) die Evaluierung neuer Biomarker, durch die Lebertoxizit{\"a}t zuverl{\"a}ssiger und empfindlicher detektiert werden k{\"o}nnte und 2.) wirkmechanistische Untersuchungen mittels Toxcicogenomics f{\"u}r ein besseres Verst{\"a}ndnis der zugrunde liegenden Mechanismen der Arzneimittel-induzierten Toxizit{\"a}t. Ein Ziel dieser Arbeit war, die F{\"a}higkeit einiger neuer potenzieller Biomarker (NGAL, Thiostatin, Clusterin und PON1) zu bewerten, Arzmeimittel-induzierte Lebertoxizit{\"a}t in Ratten fr{\"u}hzeitig zu erkennen. Die Ergebnisse zeigen, dass PON1 und Clusterin infolge eines durch die verabreichten Arzneistoffkandidaten verursachten Leberschadens nicht konsistent ver{\"a}ndert waren. Diese beiden Marker sind daher, verglichen mit bestehenden klinisch-chemischen Markern, nicht f{\"u}r eine sichere Vorhersage von Arzneistoff-induzierten Lebersch{\"a}den geeignet. Bei Thiostatin und NGAL zeigte sich hingegen ein zeit- und dosisabh{\"a}ngiger Anstieg im Serum und Urin behandelter Tiere. Diese Ver{\"a}nderungen, die gut mit der mRNA Expression im Zielorgan {\"u}bereinstimmten, korrelierten mit dem Schweregrad der Arzneistoff-induzierten Lebersch{\"a}den. Die Analyse mittels ROC zeigte, Thiostatin im Serum, nicht aber NGAL, ein besserer Indikator f{\"u}r Arzneimittel-induzierte hepatobili{\"a}re Sch{\"a}den ist als die routinem{\"a}ßig verwendeten klinische-chemischen Marker, wie z.B. die Leberenzyme ALP, ALT und AST. Thiostatin wird jedoch als Akute-Phase-Protein in einer Vielzahl von Geweben exprimiert und kann somit nicht spezifisch als Lebermarker betrachtet werden. Dennoch zeigen unsere Ergebnisse, dass Thiostatin als sensitiver, minimal-invasiver diagnostischer Marker f{\"u}r Entz{\"u}ndungsprozesse und Gewebesch{\"a}den eine sinnvolle Erg{\"a}nzung in der pr{\"a}klinischen Testung auf Lebertoxizit{\"a}t darstellt. Im zweiten Teil dieser Arbeit wurde mittels RNA-Interferenz das pharmakologische Target des Arzneistoffkandidaten BAY16, der Glukagonrezeptor, auf mRNA-Ebene gehemmt und anhand von Genexpressionsanalysen untersucht, ob die pharmakologisch-bedingte Modulation des Glukagonrezeptors eine Rolle in der Toxizit{\"a}t von BAY16 spielt. Desweiteren sollten diese Arbeiten Aufschluss geben, welche molekularen Ver{\"a}nderungen auf die pharmakologische Wirkung des Arzneistoffs zur{\"u}ckzuf{\"u}hren sind, und daher f{\"u}r den Mechanismus der Toxizit{\"a}t m{\"o}glicherweise wenig relevant sind. W{\"a}hrend BAY16 in Konzentrationen von 75 µM starke zytotoxische Wirkungen aufwies, hatte die siRNA vermittelte Depletion des Glukagonrezeptors keinen Einfluss auf die Vitalit{\"a}t prim{\"a}rer Rattenhepatozyten. Daraus l{\"a}sst sich ableiten, dass die Hepatotoxizi{\"a}t von BAY16 in vitro und in vivo nicht mit der pharmakologischen Modulation des Glukagonrezeptors assoziiert ist. Diese Ergebnisse wurden durch die Tatsache gest{\"u}tzt, dass die meisten der durch BAY16 induzierten Genexpressionsver{\"a}nderungen unabh{\"a}ngig von der pharmakologischen Modulation des Glucagonrezeptors auftraten. Diese beobachteten off-target-Effekte beinhalteten Ver{\"a}nderungen im Fremdstoffmetabolismus, oxidativer Stress, erh{\"o}hte Fetts{\"a}uresynthese und Ver{\"a}nderungen im Cholesterol- und Gallens{\"a}uremetabolismus. Obwohl Ver{\"a}nderungen in diesen molekularen Mechanismen zum Fortschreiten eines Leberschadens beitragen k{\"o}nnen, ist es anhand dieser Daten nicht m{\"o}glich einen eindeutigen Mechanismus f{\"u}r die Toxizit{\"a}t von BAY16 abzuleiten. In dieser Arbeit konnte jedoch gezeigt werden, dass die Anwendung der siRNA-Technologie einen neuen methodischen Ansatz darstellt, um Mechanismen arzneimittelbedingter Toxizit{\"a}t besser verstehen zu k{\"o}nnen.},
  subject      = {Biomarker},
  language  = {en}
}
@phdthesis{Simon2006,
  author    = {Simon, Karoline},
  title     = {Development and Evaluation of a Generic HPLC-Tandem MS Screening Method for the Detection of Potential Biomarkers for Reactive Intermediates},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-21916},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {Conjugation of reactive intermediates of drugs with proteins or DNA may result in toxic effects such as hepatotoxicity, agranulocytosis, allergies, tumors, etc. From 1975 to 1999, 2.9\% of drugs were withdrawn from the market due to such severe adverse drug reactions. Thus, formation of chemically reactive intermediates is a widely discussed problem in drug development processes. Early detection of potentially toxic compounds is required for drug discovery and drug development. Conjugation of such electrophilic compounds with glutathione (GSH) is one of the most important detoxifying reactions in vivo. Processing of these GSH-conjugates ultimately leads to the formation of renally cleared mercapturic acids, which may also be oxidized to sulfoxides. Thus, mercapturic acids may be generated and detected in vitro and non-invasively in vivo in urine to assess the reactivity of a compound in early stages of drug development processes. Therefore, the aim of this work was to develop and evaluate a HPLC-MS/MS screening method for simple and rapid detection and characterization of known and unknown mercapturic acids and application of the method to several different matrices. Based on the common constant neutral loss (CNL) of 129 Da of all mercapturic acids tested (in negative ion mode), a CNL survey scan was performed using a linear ion trap instrument and was combined with two enhanced product ion (EPI) scans with different collision energies to characterize the detected signals. The CNL resulted from the cleavage between the sulfur and the carbon atom in the N-acetyl-L-cysteine moiety. After optimization of the experimental parameters, the detection limits of the reference substances in rat urine ranged from 0.3 to 15.5 pmol on column (i.e. 20 ng/ml to 800 ng/ml). For in vitro evaluation of the method, the model compounds acetaminophen, diclofenac, bifonazole, clozapine, troglitazone, carbamazepine, and bisphenol A were screened for formation of reactive intermediates and, hence, detection of the corresponding mercapturic acids. To determine possible species- and tissue-specific toxicities, the model compounds were incubated with stimulated neutrophils and with liver microsomes from rats and humans. Species-specific differences were observed in incubations of acetaminophen and diclofenac with rat and human hepatic microsomes. Tissue-specific differences in biotransformation of the model compounds in incubations with human neutrophils and human liver microsomes were observed for diclofenac, carbamazepine, clozapine, and bifonazole. The developed HPLC-MS/MS method was also evaluated in vivo by analysis of rat and human urine. Drug-related mercapturic acids were detected in urine of rats orally treated with acetaminophen (20 mg/kg and 640 mg/kg b.w.) or diclofenac (10 mg/kg and 20 mg/kg b.w.). Human urine samples were analyzed before and after oral administration of a clinically used dose of 500 mg and 50 mg of acetaminophen. Besides detection of the mercapturic acid of N-acetylbenzoquinoneimine (AAP-MA), a second mercapturic acid with m/z 327 occurred dose-dependently in rat and human urine samples after administration of acetaminophen. Further investigations on identification of this metabolite using authentic compounds and comparing their MS/MS mass spectra demonstrated oxidation of AAP-MA to stereoisomeric sulfoxides in vivo. For diclofenac, a novel mercapturic acid with m/z 441 was detected in rat urine samples that was identical to a metabolite obtained in incubations with human neutrophils before. The in vivo formation of this diclofenac metabolite is described here for the first time. In addition, three endogenously formed mercapturic acids were detected and identified. In conclusion, the results of the in vitro and in vivo evaluation demonstrate the advantages of the rapid and generic HPLC-MS/MS screening method for the detection of mercapturic acids, that can be obtained with a minimum of sample preparation and a high throughput in diverse matrices.},
  subject      = {Acetylcysteinderivate},
  language  = {en}
}