Dissertations / Theses on the topic 'IVIVE'
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Da, Silva Franck. "Amélioration de la prédiction de la clairance métabolique via l’utilisation de modèles hépatiques innovants." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTT083.
Full textThe selection of the best drug candidates is based on multiparametric choices combining the potential efficacy, ADME characteristics and the safety profile of the new chemical entities. In this sense, the early prediction of pharmacokinetic is essential to guide decision-making and provide a relevant course for projects. Because of its central role in drug disposition, metabolic clearance mediated primarily by the liver is one of the most important parameters. The objective of this project was to improve clearance prediction by focusing on low clearance compounds that are still difficult to study. This work allowed us to expand our knowledge on in vitro liver models and usual extrapolation methods but also to discover and develop new prediction strategies. We focused on metabolic clearance and all parameters that impact the predictions. Micropatterned co-cultures (MPCCs) of primary human hepatocytes (HepatopacTM), which stabilizes hepatocytes over several weeks, has been identified as a judicious alternative to routine models when the molecules cannot be studied in conventional monolayer culture. The study of plasma protein binding and the integration of new physiological hypothesis such as the "Albumin-Facilitated Uptake" also contributed to improve the predictions. Given the performance of the HepatopacTM model, we have developed an innovative approach using a digital dispensing system to spot collagen and produce all types of micropatterned co-cultures. Co-cultures manufactured by this technique demonstrate that the method is robust, accessible and easy to use. Our spotting method was used to evolve the MPCC model and explore new applications
Harwood, Matthew Dillston. "Towards a fully mechanistic prediction of oral drug absorption : investigating intestinal transporter abundance & function relationships." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/towards-a-fully-mechanistic-prediction-of-oral-drug-absorption-investigating-intestinal-transporter-abundance-and-function-relationships(a211b130-b8ac-4ce3-bf8f-728cf08df216).html.
Full textMaharao, Neha V. "Inhibition of Oxidative and Conjugative Metabolism of Buprenorphine Using Generally Recognized As Safe (GRAS) Compounds or Components of Dietary Supplements." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4752.
Full textReddyhoff, Dennis. "Mathematical modelling of acetaminophen induced hepatotoxicity." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/23008.
Full textLeding, Albin. "Recommendation for first pharmacokinetic in vivo experiment design with a pharmacometric informed approach." Thesis, Uppsala universitet, Institutionen för farmaci, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447311.
Full textLeding, Albin. "Optimized design recommendation for first pharmacokinetic in vivo experiments for new tuberculosis drugs using pharmacometrics modelling and simulation." Thesis, Uppsala universitet, Institutionen för farmaci, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447311.
Full textEmuekpere-Masagbor, Grace Aboshuogwe. "Preverbal subject markers in Ivie, Les marqueurs de sujet préverbaux en ivié." Thèse, Université de Sherbrooke, 1997. http://savoirs.usherbrooke.ca/handle/11143/2683.
Full textDong, Jin. "First-principle based pharmacokinetic modeling." Scholarly Commons, 2016. https://scholarlycommons.pacific.edu/uop_etds/128.
Full textWingert, Nathalie Ribeiro. "Desenvolvimento e validação de métodos analíticos e estudos de estabilidade da rivaroxabana." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/149500.
Full textDrug analysis is critical at various stages of pharmaceutical development, such as formulation studies, stability and quality control products. Rivaroxaban (RIV) is an oral anticoagulant indicated for prevention of thromboembolism. Literature contains few reports of quantitative determination and drug stability studies of RIV on pharmaceutical formulation. Analytical method for RIV quality control are not evaluable on official guides yet. This research work aimed to develop and validate analytical methods for qualitative and quantitative determination of RIV by high and ultra performance liquid chromatography with UV detection mass spectrometry detection (HPLC -UV and UPLC-MS) and capillary electrophoresis (CE). The results were adequate as recommended in national and international official guides. Reliability of RIV analysis by microchip capillary electrophoresis was also assessed. Through the method developed by HPLC degradation kinetic studies were performed, zero order kinetic has better description of RIV degradation behaviour. RIV toxic potential before and after exposure to forced degradation was assessed by in vitro methods of MTT, Neutral Red, Comet Assay, and Low Molecular Weight DNA. There were no signals of DNA damage however, RIV samples exposed to alkaline medium showed increased reduction in cell viability. Identification of RIV degradation products formed after exposure to acid and alkaline media and UVC radiation was performed by UPLC-MS / MS. It was possible to elucidate molecular structures of three major degradation products. This study also assessed the dissolution profile of RIV tablets based on in vitro absorption data, a linear point-to-point correlation was found for fraction absorbed and dissolved. Different methodologies and techniques developed and applied in this work can contribute to the development of pharmaceutical quality towards more reliable tests to ensure safety and efficacy of medicines.
Richards, Katie Kristina. "Fremont Ceramic Designs and Their Implications." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4203.
Full textBISWAS, DEBLINA. "A BIORELEVANT IN VITRO MODEL TO CHARACTERIZE IN VIVO RELEASE OF BONE MORPHOGENETIC PROTEIN-2 (rhBMP-2)." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4977.
Full textBergstrand, Martin. "Application of Mixed-Effect Modeling to Improve Mechanistic Understanding and Predictability of Oral Absorption." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-149314.
Full textKizzi, Edensor. "L'influence des accents régionaux sur la compréhension de l'anglais britannique contemporain chez les sujets francophones." Phd thesis, Université de Provence - Aix-Marseille I, 2010. http://tel.archives-ouvertes.fr/tel-00578088.
Full textWimmer, Ryan Elwood. "The Walker War Reconsidered." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2461.
Full textDelvadia, Poonam. "A NOVEL BIORELEVANT IN VITRO SYSTEM TO PREDICT THE IN VIVO PERFORMANCE OF ORAL TRANSMUCOSAL PRODUCTS." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3173.
Full textDelvadia, Renishkumar. "In vitro methods to predict aerosol drug deposition in normal adults." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/314.
Full textCarlert, Sara. "Investigation and Prediction of Small Intestinal Precipitation of Poorly Soluble Drugs : a Study Involving in silico, in vitro and in vivo Assessment." Doctoral thesis, Uppsala universitet, Institutionen för farmaci, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-178053.
Full textMendes, Alexandra Isabel Vieites. "iVIWE - Intelligent Virtual Immersive Work Environment." Dissertação, 2021. https://hdl.handle.net/10216/136443.
Full textMendes, Alexandra Isabel Vieites. "iVIWE - Intelligent Virtual Immersive Work Environment." Master's thesis, 2021. https://hdl.handle.net/10216/136443.
Full textde, Matas Marcel, Henry Chrystyn, Qun Shao, and Victoria L. Silkstone. "Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks." 2007. http://hdl.handle.net/10454/4161.
Full textThe ability to generate predictive models linking the in vitro assessment of pharmaceutical products with in vivo performance has the potential to enable greater control of clinical quality whilst minimizing the number of in vivo studies in drug development. Artificial neural networks (ANNs) provide a means of generating predictive models correlating critical product characteristics to key performance attributes. In this regard, ANNs have been used to model historical data exploring the relative lung bioavailability of salbutamol from several different nebulizers. The generated ANN model was shown to relate urinary salbutamol excretion at 30 min postinhalation, which is the index of relative lung bioavailability of salbutamol, to specific fractions of the particle size distribution, to subject body surface area and to the methods of nebulization. This model was validated using unseen data and gave good agreement with pharmacokinetic outcomes for 17 data records. The model gave improved predictions of urinary salbutamol excretion for individual subjects compared to the published linear correlation generated using the same data. It is therefore concluded that ANN models have the potential to provide reliable estimates of pharmacokinetic performance that relate to lung deposition, for nebulized medicines in individual subjects.
Puscas, Ina. "Développement d’un modèle in vitro de la barrière hémato-encéphalique." Thesis, 2019. http://hdl.handle.net/1866/24000.
Full textThe blood-brain barrier (BBB), a central nervous system structure, is found in the cerebral capillaries. It represents a major obstacle for the drugs that have to reach the brain in order to exercise their pharmacological effect. In the early stages of the drug development, in vitro cell models are used to evaluate the brain permeability of new drugs. Models assembled using primary endothelial cells (ECs) isolated from mouse brain capillaries are of particular interest for research, as for their ease of obtaining and relevance for the drug screening. Thus, the goal of this project was to build and characterize a primary mouse monolayer model. At the same time, a murine b.End3 cell line monolayer model was investigated. The evaluation of these models was based on the TEER and fluorescent marker permeability values, as well as on the presence of the BBB hallmark proteins. The model validation was established by the correlation of the permeability data obtained with the in vitro model and the data obtained in mice (in vivo). As a result, the primary mouse model showed superior monolayer integrity and higher expression of the tight junction and membrane transporter proteins when compared with the bEnd.3 cell line model. The in vitro/in vivo correlation of the primary model resulted in r2 = 0.765 compared to the bEnd.3 model with r2 = 0.019. This research work shows that the primary monolayer mouse model is a simple and reliable model for predicting the drug permeability across the BBB.