@article{MollReboredoSchwarzetal.2013, author = {Moll, Corinna and Reboredo, Jenny and Schwarz, Thomas and Appelt, Antje and Sch{\"u}rlein, Sebastian and Walles, Heike and Nietzer, Sarah}, title = {Tissue Engineering of a Human 3D in vitro Tumor Test System}, series = {Journal of Visualized Experiments}, volume = {78}, journal = {Journal of Visualized Experiments}, number = {e50460}, doi = {10.3791/50460}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-132277}, year = {2013}, abstract = {Cancer is one of the leading causes of death worldwide. Current therapeutic strategies are predominantly developed in 2D culture systems, which inadequately reflect physiological conditions in vivo. Biological 3D matrices provide cells an environment in which cells can self-organize, allowing the study of tissue organization and cell differentiation. Such scaffolds can be seeded with a mixture of different cell types to study direct 3D cell-cell-interactions. To mimic the 3D complexity of cancer tumors, our group has developed a 3D in vitro tumor test system. Our 3D tissue test system models the in vivo situation of malignant peripheral nerve sheath tumors (MPNSTs), which we established with our decellularized porcine jejunal segment derived biological vascularized scaffold (BioVaSc). In our model, we reseeded a modified BioVaSc matrix with primary fibroblasts, microvascular endothelial cells (mvECs) and the S462 tumor cell line For static culture, the vascular structure of the BioVaSc is removed and the remaining scaffold is cut open on one side (Small Intestinal Submucosa SIS-Muc). The resulting matrix is then fixed between two metal rings (cell crowns). Another option is to culture the cell-seeded SIS-Muc in a flow bioreactor system that exposes the cells to shear stress. Here, the bioreactor is connected to a peristaltic pump in a self-constructed incubator. A computer regulates the arterial oxygen and nutrient supply via parameters such as blood pressure, temperature, and flow rate. This setup allows for a dynamic culture with either pressure-regulated pulsatile or constant flow. In this study, we could successfully establish both a static and dynamic 3D culture system for MPNSTs. The ability to model cancer tumors in a more natural 3D environment will enable the discovery, testing, and validation of future pharmaceuticals in a human-like model.}, language = {en} } @phdthesis{Li2004, author = {Li, Jie}, title = {Differential effects of neuromelanin and synthetic dopamine melanin on cell lines}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-13588}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2004}, abstract = {xxx}, language = {en} } @article{BoriskinDesyatskovaBogomolovaetal.1986, author = {Boriskin, Yu S. and Desyatskova, R. G. and Bogomolova, N. N. and Gorboulev, Valentin G.}, title = {Stability of rubella virus after long-term persistence in human cell line}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-46944}, year = {1986}, abstract = {Primary infection of HEp-2 cells with rubella virus resulted in non-cytophatic longterm persistent infection. During four years of persistence the virus was produced in sufficient quantities (up to 6 logs PFU/ml) and did not differ from the parental variant in its pathogenicity for BHK-21 or RK-13 cells, or hemagglutinating activity, but formed smaller plaques. Persistent virus preserved the original antigenicity as judged from reciprocal hemagglutination-inhibition or plaque reduction-neutralization tests with polyclonal antisera. Both original and persistent rubella viruses were thermoresistant (T 56° C) and sligthly temperature-sensitive. Clonal analysis revealed presence of ts-mutants among both original and persistent virus clones with different degrees of plating efficiency at 40°/34° C. RNA fingerprinting showed only minor changes in persistent rubella virus.}, language = {en} } @phdthesis{Bellwon2015, author = {Bellwon, Patricia}, title = {Kinetic assessment by in vitro approaches - A contribution to reduce animals in toxicity testing}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-122693}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2015}, abstract = {The adoption of directives and regulations by the EU requires the development of alternative testing strategies as opposed to animal testing for risk assessment of xenobiotics. Additionally, high attrition rates of drugs late in the discovery phase demand improvement of current test batteries applied in the preclinical phase within the pharmaceutical area. These issues were taken up by the EU founded 7th Framework Program "Predict-IV"; with the overall goal to improve the predictability of safety of an investigational product, after repeated exposure, by integration of "omics" technologies applied on well established in vitro approaches. Three major target organs for drug-induced toxicity were in focus: liver, kidney and central nervous system. To relate obtained dynamic data with the in vivo situation, kinetics of the test compounds have to be evaluated and extrapolated by physiologically based pharmacokinetic modeling. This thesis assessed in vitro kinetics of the selected test compounds (cyclosporine A, adefovir dipivoxil and cisplatinum) regarding their reliability and relevance to respective in vivo pharmacokinetics. Cells were exposed daily or every other day to the test compounds at two concentration levels (toxic and non-toxic) for up to 14 days. Concentrations of the test compounds or their major biotransformation products were determined by LC-MS/MS or ICP-MS in vehicle, media, cells and plastic adsorption samples generated at five different time-points on the first and the last treatment day. Cyclosporine A bioaccumulation was evident in primary rat hepatocytes (PRH) at the high concentration, while efficient biotransformation mediated by CYP3A4 and CYP3A5 was determined in primary human hepatocytes (PHH) and HepaRG cells. The lower biotransformation in PRH is in accordance with observation made in vivo with the rat being a poor model for CYP3A biotransformation. Further, inter-assay variability was noticed in PHH caused by biological variability in CYP3A4 and CYP3A5 activity in human donors. The inter-assay variability observed for PRH and HepaRG cells was a result of differences between vehicles regarding their cyclosporine A content. Cyclosporine A biotransformation was more prominent in HepaRG cells due to stable and high CYP3A4 and CYP3A5 activity. In addition, in vitro clearances were calculated and scaled to in vivo. All scaled in vitro clearances were overestimated (PRH: 10-fold, PHH: 2-fold, HepaRG cells: 2-fold). These results should be proven by physiologically-based pharmacokinetic modeling and additional experiments, in order to verify that these overestimations are constant for each system and subsequently can be diminished by implementation of further scaling factors. Brain cell cultures, primary neuronal culture of mouse cortex cells and primary aggregating rat brain cells, revealed fast achieved steady state levels of cyclosporine A. This indicates a chemical distribution of cyclosporine A between the aqueous and organic phases and only minor involvement of biological processes such as active transport and biotransformation. Hence, cyclosporine A uptake into cells is presumably transport mediated, supported by findings of transporter experiments performed on a parallel artificial membrane and Caco-2 cells. Plastic adsorption of cyclosporine A was significant, but different for each model, and should be considered by physiologically based pharmacokinetic modeling. Kinetics of adefovir dipivoxil highlights the limits of in vitro approaches. Active transporters are required for adefovir uptake, but were not functional in RPTECT/TERT1. Therefore, adefovir uptake was limited to passive diffusion of adefovir dipivoxil, which itself degrades time-dependently under culture conditions. Cisplatinum kinetics, studied in RPTEC/TERT1 cells, indicated intracellular enrichment of platinum, while significant bioaccumulation was not noted. This could be due to cisplatinum not reaching steady state levels within 14 days repeated exposure. As shown in vivo, active transport occurred from the basolateral to apical side, but with lower velocity. Hence, obtained data need to be modeled to estimate cellular processes, which can be scaled and compared to in vivo. Repeated daily exposure to two different drug concentrations makes it possible to account for bioaccumulation at toxic concentrations or biotransformation/extrusion at non-toxic concentrations. Potential errors leading to misinterpretation of data were reduced by analyses of the vehicles as the applied drug concentrations do not necessarily correspond to the nominal concentrations. Finally, analyses of separate compartments (medium, cells, plastic) give insights into a compound's distribution, reduce misprediction of cellular processes, e.g. biotransformation, and help to interpret kinetic data. On the other hand, the limits of in vitro approaches have also been pointed out. For correct extrapolation to in vivo, it is essential that the studied in vitro system exhibits the functionality of proteins, which play a key role in the specific drug induced toxicity. Considering the benefits and limitations, it is worth to validate this long-term treatment experimental set-up and expand it on co-culture systems and on organs-on-chips with regard to alternative toxicity testing strategies for repeated dose toxicity studies.}, subject = {Zellkultur}, language = {en} }