@phdthesis{Wendlinger2023,
  author    = {Wendlinger, Simone Alice},
  title     = {Function of Peripheral Blood Eosinophils in Melanoma},
  publisher = {Cancers (Basel)},
  doi       = {10.25972/OPUS-30119},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-301194},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Despite accounting for only a small proportion of all skin cancers, malignant melanoma displays a serious health risk with increasing incidence and high mortality rate. Fortunately, advances in the treatment of malignant melanoma now prolong survival and enhance response and treatment efficacy. Established biomarkers help evaluate disease progression and facilitate choosing appropriate and individual treatment options. However, the need for easily accessible and reliable biomarkers is rising to predict patient-specific clinical outcome. Eosinophil infiltration into the tumor and high peripheral eosinophil counts prior and during treatment have been associated with better response in patients for various cancer entities, including melanoma. An analysis of a heterogeneous study cohort reported high serum ECP levels in non-responders. Hence, eosinophil frequency and serum ECP as a soluble eosinophil-secreted mediator were suggested as prognostic biomarkers in melanoma. We examined whether melanoma patients treated with first-line targeted therapy could also benefit from the effects of eosinophils. In total, 243 blood and serum samples from patients with advanced melanoma were prospectively and retrospectively collected before and after drug initiation. To link eosinophil function to improved clinical outcome, soluble serum markers and peripheral blood counts were used for correlative studies using a homogeneous study cohort. In addition, functional and phenotypical characterizations provided insights into the expression profile and activity of freshly isolated eosinophils, including comparisons between patients and healthy donors. Our data showed a significant correlation between high pre-treatment blood eosinophil counts and improved response to targeted therapy and by trend to combinatorial immunotherapy in patients with metastatic melanoma. In accordance with previous studies our results links eosinophil blood counts to better response in melanoma patients. High pre-treatment ECP serum concentration correlated with response to immunotherapy but not to targeted therapy. Eosinophils from healthy donors and patients showed functional and phenotypical similarities. Functional assays revealed a strong cytotoxic potential of blood eosinophils towards melanoma cells in vitro, inducing apoptosis and necrosis. In addition, in vitro cytotoxicity was an active process of peripheral eosinophils and melanoma cells with bidirectional features and required close cell-cell interaction. The extent of cytotoxicity was dose-dependent and showed susceptibility to changes in physical factors like adherence. Importantly, we provide evidence of an additive tumoricidal function of eosinophils and combinatorial targeted therapy in vitro. In summary, we give valuable insights into the complex and treatment-dependent role of eosinophils in melanoma. As a result, our data support the suggestion of eosinophils and their secreted mediators as potential prognostic biomarkers. It will take additional studies to examine the molecular mechanisms that underlie our findings.},
  subject      = {Melanom},
  language  = {en}
}
@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{Hauser2022,
  author    = {Hauser, Tobias Gregor},
  title     = {Mineralocorticoid-receptor antagonism and its metabolic consequences in haemodialysis patients},
  doi       = {10.25972/OPUS-25938},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-259382},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Patients on haemodialysis are highly susceptible to different forms of heart failure. To date, the benefit of Mineralocorticoid-receptor antagonist (MRA) administration in haemodialysis patients remains subject to discussion. Biomarkers play an important role in therapy guidance and pose a promising tool to detect pathological processes of heart failure in an earlier stage. The randomised-controlled Mineralocorticoid-Receptor Antagonists in End-Stage Renal Disease (MiREnDa) trial was set up to investigate the effect of 50 mg of spironolactone once daily on left ventricular mass index in haemodialysis patients and several secondary endpoints. This dissertation reports findings from the MiREnDa trial on (a) the efficacy of spironolactone to influence serum levels of biomarkers of heart failure, fibrosis and inflammation and electrolytes and (b) the ability of N-terminal pro-B-type natriuretic peptide (NT-proBNP), Galectin-3 and soluble source of tumorigenicity 2 (sST2) to reflect left ventricular hypertrophy and diastolic dysfunction assessed by imaging characteristics. Treatment of spironolactone over a 40-week period did not alter serum levels of biomarkers of heart failure, fibrosis and inflammation including NT-proBNP, Galectin-3 and sST2. A small but significant effect on serum sodium but not potassium was observed. NT-proBNP was significantly different in the presence or absence of left ventricular hypertrophy (LVH) (normal vs. LVH (median [IQR]): 2,120 [810; 5,040] vs. 6,340 [2,410; 15,360] pg/ml, p<0.01) or moderate and severe diastolic dysfunction (DD) (normal diastolic function and DD grade I vs. DD grade II and DD grade III: 2,300 [850; 6,050] vs. 12,260 [3,340; 34,830] pg/ml, p=0.02). NT-proBNP further showed a significant correlation at baseline with LVMi (Spearman's rho=0.41, p<0.001), LAVi (Spearman's rho=0.55, p<0.001) and septal E/e' (Spearman's rho=0.45, p<0.001). No correlation was observed between Galectin-3 and the investigated functional and morphological parameters. sST2 was mildly correlated to LVMi at baseline (Spearman's rho=0.21, p=0.05) and NT-proBNP at baseline (Spearman's rho=0.37, p<0.001). In conclusion, spironolactone did not affect the investigated parameters but NT-proBNP proved to be significantly correlated to cardiac imaging measurements.},
  subject      = {Dialyse},
  language  = {en}
}
@article{RinaldettiPfirrmannManzetal.2018,
  author    = {Rinaldetti, S{\´e}bastien and Pfirrmann, Markus and Manz, Kirsi and Guilhot, Joelle and Dietz, Christian and Panagiotidis, Panayiotidis and Spiess, Birgit and Seifarth, Wolfgang and Fabarius, Alice and M{\"u}ller, Martin and Pagoni, Maria and Dimou, Maria and Dengler, Jolanta and Waller, Cornelius F. and Br{\"u}mmendorf, Tim H. and Herbst, Regina and Burchert, Andreas and Janßen, Carsten and Goebeler, Maria Elisabeth and Jost, Philipp J. and Hanzel, Stefan and Schafhausen, Philippe and Prange-Krex, Gabriele and Illmer, Thomas and Janzen, Viktor and Klausmann, Martine and Eckert, Robert and B{\"u}schel, Gerd and Kiani, Alexander and Hofmann, Wolf-Karsten and Mahon, Fran{\c{c}}ois-Xavier and Saussele, Susanne},
  title     = {Effect of ABCG2, OCT1, and ABCB1 (MDR1) Gene Expression on Treatment-Free Remission in a EURO-SKI Subtrial},
  series = {Clinical Lymphoma, Myeloma \& Leukemia},
  volume    = {18},
  journal   = {Clinical Lymphoma, Myeloma \& Leukemia},
  number    = {4},
  doi       = {10.1016/j.clml.2018.02.004},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226281},
  pages     = {266-271},
  year      = {2018},
  abstract  = {Within the EURO-SKI trial, 132 chronic phase CML patients discontinued imatinib treatment. RNA was isolated from peripheral blood in order to analyze the expression of MDR1, ABCG2 and OCT1. ABCG2 was predictive for treatment-free remission in Cox regression analysis. High transcript levels of the ABCG2 efflux transporter (>4.5 parts per thousand) were associated with a twofold higher risk of relapse. Introduction: Tyrosine kinase inhibitors (TKIs) can safely be discontinued in chronic myeloid leukemia (CML) patients with sustained deep molecular response. ABCG2 (breast cancer resistance protein), OCT1 (organic cation transporter 1), and ABCB1 (multidrug resistance protein 1) gene products are known to play a crucial role in acquired pharmacogenetic TKI resistance. Their influence on treatment-free remission (TFR) has not yet been investigated. Materials and Methods: RNA was isolated on the last day of TKI intake from peripheral blood leukocytes of 132 chronic phase CML patients who discontinued TKI treatment within the European Stop Tyrosine Kinase Inhibitor Study trial. Plasmid standards were designed including subgenic inserts of OCT1, ABCG2, and ABCB1 together with GUSB as reference gene. For expression analyses, quantitative real-time polymerase chain reaction was used. Multiple Cox regression analysis was performed. In addition, gene expression cutoffs for patient risk stratification were investigated. Results: The TFR rate of 132 patients, 12 months after TKI discontinuation, was 54\% (95\% confidence interval [CI], 46\%-62\%). ABCG2 expression (parts per thousand) was retained as the only significant variable (P=.02; hazard ratio, 1.04; 95\% CI, 1.01-1.07) in multiple Cox regression analysis. Only for the ABCG2 efflux transporter, a significant cutoff was found (P=.04). Patients with an ABCG2/GUSB transcript level >4.5 parts per thousand (n=93) showed a 12-month TFR rate of 47\% (95\% CI, 37\%-57\%), whereas patients with low ABCG2 expression (<= 4.5 parts per thousand; n=39) had a 12-month TFR rate of 72\% (95\% CI, 55\%-82\%). Conclusion: In this study, we investigated the effect of pharmacogenetics in the context of a CML treatment discontinuation trial. The transcript levels of the efflux transporter ABCG2 predicted TFR after TKI discontinuation. (C) 2018 The Authors. Published by Elsevier Inc.},
  language  = {en}
}
@phdthesis{Kuzkina2020,
  author    = {Kuzkina, Anastasia},
  title     = {Dermal α-synuclein oligomers and aggregates in Parkinson's disease},
  doi       = {10.25972/OPUS-20436},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-204369},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Lewy bodies and Lewy neurites are neuropathological hallmarks of Parkinson's disease (PD). These depositions in the brain mostly consist of aggregated α-synuclein (α-syn) phosphorylated at Ser129. A number of studies reported detection of phosphorylated α-syn (p-α-syn) in the dermal nerve fibers in Parkinson's disease. The objective of this study was to investigate whether pathological α-syn accumulations detected in the skin represent aggregated protein. A number of methods aimed at detecting α-syn oligomers and aggregates were first tested and optimized on the brain samples in PD and normal control. These methods included proximity ligation assay (PLA), PET-blot, immunohistochemical (IHC) stains with α-syn aggregate (5G4) or oligomer specific (ASyO5) antibodies and a stain against native α-syn (syn211) after proteinase K (PK) digestion. Subsequently, the most specific methods (stains with 5G4, ASyO5 and syn211 after PK digestion) were studied in two separate patient and control cohorts. Anti-p-α-syn stain was performed in parallel. Single sections from at least 2 biopsy sites from 44 patients and 22 controls (cohort 1) as well as serial sections of 4 biopsy sites from 27 patients and 5 controls (cohort 2) were systematically studied for presence of aggregated and oligomeric α-syn. In total, 5G4 positive deposits were found in 24\% (cohort 1) and 37\% (cohort 2), ASyO5 positive lesions in 17,7\% (cohort 1) and 33\% (cohort 2), syn211 positive lesions after PK digestion in 38,7\% (cohort 1) and 48\% (cohort 2) of cases. There was a major overlap among positivity for a particular staining on the patient level and in most cases, the same nerve fiber was found to be positive for all 4 markers in neighboring sections. Among the skin biopsies which contained p-α-syn accumulation, 59\% were also PK resistant, 41\% were 5G4 positive and 45\% were ASyO5 positive. The samples belonging to normal controls did not show any positive signal in either of the newly established stainings or in the anti-p-α-syn staining. Using 3 distinct IHC methods, α-syn oligomers and aggregates were detectable in the majority of p-α-syn positive skin biopsies. This finding supports the hypothesis that α-syn aggregation occurs in the peripheral (i.e. dermal) nerves and can be specifically detected using skin biopsy.},
  subject      = {Parkinson-Krankheit},
  language  = {en}
}
@phdthesis{Nube2013,
  author    = {Nube, Jacqueline Sui Lin},
  title     = {Comparative Analysis of Vaccinia Virus-Encoded Markers Reflecting Actual Viral Titres in Oncolytic Virotherapy},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85689},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Using viruses to treat cancer is a novel approach to an age-old disease. Oncolytic viruses are native or recombinant viruses that have the innate or enhanced capability to infect tumour cells, replicate within the tumour microenvironment and subsequently lyse those cells. One representative, the vaccinia virus (VACV), belongs to the orthopoxvirus genus of the Poxviridae family. GLV-1h68, a recombinant and attenuated vaccinia virus devel- oped by the Genelux Corporation, is a member of this family currently being tested in various phase I/II clinical trials under the name GL-ONC1. It has been shown to specif- ically replicate in tumour cells while sparing healthy tissue and to metabolise prodrug at or transport immunological payloads to the site of affliction. Since imaging modalities offer little insight into viral replication deep within the body, and because oncolytic virotherapy is dependent on replication within the target tissue, the need for a monitoring system is evident. Pharmacokinetic analysis of this oncolytic agent was to give insight into the dynamics present in tumours during treatment. This, in turn, would give clinicians the opportunity to monitor the efficacy as early as possible after the onset of treatment, to observe treatment progression and possibly to gauge prognosis, without resorting to invasive procedures, e.g. biopsies. A criteria for viable biomarkers was that it had to be directly dependent on viral replica- tion. Ideally, a marker for treatment efficacy would be specific to the treatment modality, not necessarily the treatment type. Such a marker would be highly detectable (high sen- sitivity), specific for the treatment (high specificity), and present in an easily obtained specimen (blood). Taking this into consideration, the biomarkers were chosen for their potential to be indicators of viral replication. Thus, the biomarkers analysed in this thesis are: the native proteins expressed by the viral genes A27L and B5R, the virally encoded recombinant proteins β-galactosidase, β-glucuronidase, green fluorescent protein (GFP), carboxypeptidase G2 (CPG2) and carcinoembryonic antigen (CEA). Each marker is under the control of one of five different promoters present. All recombinant viruses used in this thesis express A27L, B5R, GFP and β-glucuronidase and all are derived from the parental virus GLV-1h68. In addition to these markers, GLV-1h68 expresses β-galactosidase; GLV-1h181 expresses CPG2. [...]},
  subject      = {Onkolyse},
  language  = {en}
}
@article{VerghoKneitzRosenwaldetal.2014,
  author    = {Vergho, Daniel and Kneitz, Susanne and Rosenwald, Andreas and Scherer, Charlotte and Spahn, Martin and Burger, Maximilian and Riedmiller, Hubertus and Kneitz, Burkhard},
  title     = {Combination of expression levels of miR-21 and miR-126 is associated with cancer-specific survival in clear-cell renal cell carcinoma},
  doi       = {10.1186/1471-2407-14-25},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-110061},
  year      = {2014},
  abstract  = {Background Renal cell carcinoma (RCC) is marked by high mortality rate. To date, no robust risk stratification by clinical or molecular prognosticators of cancer-specific survival (CSS) has been established for early stages. Transcriptional profiling of small non-coding RNA gene products (miRNAs) seems promising for prognostic stratification. The expression of miR-21 and miR-126 was analysed in a large cohort of RCC patients; a combined risk score (CRS)-model was constructed based on expression levels of both miRNAs. Methods Expression of miR-21 and miR-126 was evaluated by qRT-PCR in tumour and adjacent non-neoplastic tissue in n = 139 clear cell RCC patients. Relation of miR-21 and miR-126 expression with various clinical parameters was assessed. Parameters were analysed by uni- and multivariate COX regression. A factor derived from the z-score resulting from the COX model was determined for both miRs separately and a combined risk score (CRS) was calculated multiplying the relative expression of miR-21 and miR-126 by this factor. The best fitting COX model was selected by relative goodness-of-fit with the Akaike information criterion (AIC). Results RCC with and without miR-21 up- and miR-126 downregulation differed significantly in synchronous metastatic status and CSS. Upregulation of miR-21 and downregulation of miR-126 were independently prognostic. A combined risk score (CRS) based on the expression of both miRs showed high sensitivity and specificity in predicting CSS and prediction was independent from any other clinico-pathological parameter. Association of CRS with CSS was successfully validated in a testing cohort containing patients with high and low risk for progressive disease. Conclusions A combined expression level of miR-21 and miR-126 accurately predicted CSS in two independent RCC cohorts and seems feasible for clinical application in assessing prognosis.},
  language  = {en}
}
@article{HaarmannDeissProchaskaetal.2010,
  author    = {Haarmann, Axel and Deiss, Annika and Prochaska, Juergen and Foerch, Christian and Weksler, Babette and Romero, Ignacio and Couraud, Pierre-Olivier and Stoll, Guido and Rieckmann, Peter and Buttmann, Mathias},
  title     = {Evaluation of Soluble Junctional Adhesion Molecule-A as a Biomarker of Human Brain Endothelial Barrier Breakdown},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-68468},
  year      = {2010},
  abstract  = {Background: An inducible release of soluble junctional adhesion molecule-A (sJAM-A) under pro-inflammatory conditions was described in cultured non-CNS endothelial cells (EC) and increased sJAM-A serum levels were found to indicate inflammation in non-CNS vascular beds. Here we studied the regulation of JAM-A expression in cultured brain EC and evaluated sJAM-A as a serum biomarker of blood-brain barrier (BBB) function. Methodology/Principal Findings: As previously reported in non-CNS EC types, pro-inflammatory stimulation of primary or immortalized (hCMEC/D3) human brain microvascular EC (HBMEC) induced a redistribution of cell-bound JAM-A on the cell surface away from tight junctions, along with a dissociation from the cytoskeleton. This was paralleled by reduced immunocytochemical staining of occludin and zonula occludens-1 as well as by increased paracellular permeability for dextran 3000. Both a self-developed ELISA test and Western blot analysis detected a constitutive sJAM-A release by HBMEC into culture supernatants, which importantly was unaffected by pro-inflammatory or hypoxia/reoxygenation challenge. Accordingly, serum levels of sJAM-A were unaltered in 14 patients with clinically active multiple sclerosis compared to 45 stable patients and remained unchanged in 13 patients with acute ischemic non-small vessel stroke over time. Conclusion: Soluble JAM-A was not suited as a biomarker of BBB breakdown in our hands. The unexpected non-inducibility of sJAM-A release at the human BBB might contribute to a particular resistance of brain EC to inflammatory stimuli, protecting the CNS compartment.},
  subject      = {Biomarker},
  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{Hahn2010,
  author    = {Hahn, Tim},
  title     = {Integrating neurobiological markers of depression: an fMRI-based pattern classification approach},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-49962},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {While depressive disorders are, to date, diagnosed based on behavioral symptoms and course of illness, the interest in neurobiological markers of psychiatric disorders has grown substantially in recent years. However, current classification approaches are mainly based on data from a single biomarker, making it difficult to predict diseases such as depression which are characterized by a complex pattern of symptoms. Accordingly, none of the previously investigated single biomarkers has shown sufficient predictive power for practical application. In this work, we therefore propose an algorithm which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. First, we identified the core-symptoms of depression from standard classification systems. Then, we designed and conducted three experimental paradigms probing psychological processes known to be related to these symptoms using functional Magnetic Resonance Imaging. In order to integrate the resulting 12 high-dimensional biomarkers, we developed a multi-source pattern recognition algorithm based on a combination of Gaussian Process Classifiers and decision trees. Applying this approach to a group of 30 healthy controls and 30 depressive in-patients who were on a variety of medications and displayed varying degrees of symptom-severity allowed for high-accuracy single-subject classification. Specifically, integrating biomarkers yielded an accuracy of 83\% while the best of the 12 single biomarkers alone classified a significantly lower number of subjects (72\%) correctly. Thus, integrated biomarker-based classification of a heterogeneous, real-life sample resulted in accuracy comparable to the highest ever achieved in previous single biomarker research. Furthermore, investigation of the final prediction model revealed that neural activation during the processing of neutral facial expressions, large rewards, and safety cues is most relevant for over-all classification. We conclude that combining brain activation related to the core-symptoms of depression using the multi-source pattern classification approach developed in this work substantially increases classification accuracy while providing a sparse relational biomarker-model for future prediction.},
  subject      = {Patientenklassifikation},
  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}
}