Dissertations / Theses on the topic 'Drug resistance in microorgani'
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Abate, Getahun. "Drug resistance in mycobacterium tuberculosis /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3833-4/.
Full textMarijani, Theresia. "Modelling drug resistance in malaria." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/4063.
Full textAbrahem, Abrahem F. "Mechanisms of drug resistance in malaria." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0033/MQ50704.pdf.
Full textScott, F. M. "Drug resistance mechanisms in multiple myeloma." Thesis, University of Edinburgh, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.661665.
Full textWildridge, David. "Metabolism and drug resistance in Trypanosomatids." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3622/.
Full textPongtavornpinyo, Wirichada. "Mathematical modelling of antimalarial drug resistance." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428249.
Full textDoherty, Catherine Jean. "Drug resistance mechanisms in multiple myeloma." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/22154.
Full textGalinytė, Daiva. "Antibiotikų vartojimo ir kai kurių mikroorganizmų rezistentiškumo pokyčių analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080616_100358-21547.
Full textSummary. Antimicrobial resistance is a serious public health problem worldwide. Irrational use of antibiotics is one of the reasons of increasing resistance to these preparations. The main goal of this study was to evaluate the variation of antibiotics consumption and relation between antibiotics consumption and microorganism resistance. Method. This analysis was performed in one of Lithuanian tertiary hospitals. The DDD analysis was performed to express consumption per every 100 OBD for single units in clinical departments. Average mean of DDD/100 OBD was estimated for 2004- 2007 years and mean values compared among all four years. The relation between the number of surgical operations and antibiotics consumption in surgery departments was analysed. E.coli and K.pneumoniae resistance for the four financial years (2004- 2007) was determined. Moreover the relation between microorganism resistance and variation of antibiotics consumption was determined. Data were analysed by descriptive and comparative statistics (by Mann–Whithey test for non-parametric criteria and Spirman correlation). Results. Comparing the DDD/100 OBD data year-on-year revealed the statistically significant increase of piperacillin and tazobactam (877.50%), metronidazole (114.00%), cefuroxime (77.31%), meroponem (47.55%), cefoperazone and sulbactam (173.11%) use. The increased usage of these antibiotics was determined in surgery department too. However the increased number of surgical operations can’t be... [to full text]
Johnson, Rabia. "Understanding the mechanisms of drug resistance in enhancing rapid molecular detection of drug resistance in Mycobacterium tuberculosis." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019.1/1265.
Full textJoseph, Renu. "Evolution of multiple antimicrobial drug resistance conservation of genes encoding streptomycin, sulfonamide and tetracycline resistance among Escherichia coli with increasing multi-drug resistance /." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/R_Joseph_111707.pdf.
Full textMin, Junxia. "Sphingolipid metabolic enzymes modulate anticancer drug resistance." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/5899.
Full textThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (March 5, 2007) Vita. Includes bibliographical references.
Nutt, Catherine L. "Mechanisms of drug resistance in glial cells." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq28512.pdf.
Full textZelcer, Noam. "MRP2-4, from drug resistance to physiology." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2003. http://dare.uva.nl/document/87138.
Full textBillington, Owen James. "Evolution of drug resistance in Mycobacterium tuberculosis." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444546/.
Full textAl-Dhaheri, Rawya. "Drug resistance and apoptosis in Candida biofilms." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/1940/.
Full textLeyland-Jones, Brian. "A molecular cytogenetic approach to drug resistance." Thesis, Institute of Cancer Research (University Of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414825.
Full textJavanbakht, Marjan. "Antiretroviral drug resistance and adherence to HAART." Diss., Restricted to subscribing institutions, 2005. http://proquest.umi.com/pqdweb?did=1155567301&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Full textSilal, Sheetal Prakash. "A simulation model of antimalarial drug resistance." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/9003.
Full textMalaria ranks among the world's most important tropical parasitic diseases with world prevalence figures between 350 and 550 million clinical cases per annum. [WHO, 2008a] 'Treatment and prevention of malaria places a considerable burden on struggling economies where the disease is rampant. Research in malaria does not stop as the change in response to antimalarial drug treatment requires the development of new drugs and innovation in the use of old drugs. This thesis focused on building a model of the spread of resistance to Sulfadoxine/Pyrimethamine (SP) in a setting where both SP and SP in artemisinin-based combination therapy (ACT) are the first line therapies for malaria. The model itself is suitable to any low transmission setting where antimalarial drug resistance exists but the country of choice in this modeling exercise was Mozambique. The model was calibrated using parameters specific to the malaria situation in Mozambique. This model was intended to be used to aid decision making in countries where antimalarial drug resistance exists to help prevent resistance spreading to such an extent that drugs lose their usefulness in curing malaria. The modeling technique of choice was differential equation modeling; a simulation technique that falls under the System Dynamics banner in the Operations Research armamentarium. It is a technique that allowed the modeling of stocks and flows that represent different stages or groupings in the disease process and the rate of movement between these stages respectively. The base model that was built allowed infected individuals to become infectious, to be treated with SP or ACT and to be sensitive to or fail treatment. Individuals were allowed a period of temporary immunity where they would not be reinfected until the residual SP had been eliminated from their bloodstream. The base model was then further developed to include the pharmacokinetic properties of SP where individuals were allowed to be reinfected with certain strains of infection given the level of residual drug in their bloodstream after their current infection had been cleared. The models used in this thesis were built with idea of expanding on previous models and using available data to improve parameter estimates. The model at its core is similar to the resistance model used in Koella and Antia [2003] where differential equation modeling was used to monitor a population as it became infected with a sensitive or resistant infection and then University of Cape Town recovered. The inclusion in the model of the PK component was derived from Prudhomme-O'Meara et al. [2006] where individuals could be reinfected depending on the residual drug in their bloodstream. Rather than modeling simply sensitive and resistant infections, mutations categories were used as was the case in Watkins et al. [2005] population genetics model. The use of mutation categories allowed one to use parameters specific to these categories rather than the sensitive/resistant stratification and this is particularly relevant in Mozambique where all mutation categories still exhibit some degree of sensitivity to treatment i.e. total resistance has not yet developed for any particular mutation category. The last adaptation of the model was to use gametocyte information directly to determine human infectiousness rather than through using a gametocyte switching rate (constant multiplier used to convert parasite density to gametocyte density) as was done in Pongtavompinyo [2006]. The models developed in this thesis found that the existing vector control and drug policy in Mozambique had the major effect of decreasing total prevalence of malaria by approximately 70% in the 11 year period. The distribution of Res3 (presence of DHFR triple) and Res5 (presence of DHFR triple and DHPS double) infections changed over the 11 year period with Res3 infections initially increasing and then decreasing while Res5 infections started low and increased to overtake Res3 infections. The timing of the change in this composition of infection corresponds with the introduction of ACT and thus it appears that the use of ACT prompted the increased prevalence of quintuple parasites over DHFR triple and sensitive parasites. The total number of failures decreased substantially after the introduction of ACT to 17% of its previous level. The results of the base model corresponded with the observed data from the SEACAT study in terms of the magnitude and the trends of the impact of the change to ACT policy, but underestimated the impact of the vector control strategies compared to rapid effect noted in Sharp et al. [2007]. The Scenario testing of the base model showed that vector control is an effective strategy to reduce prevalence and that it is sensitive to the time at which the control is started as it decreased prevalence very gradually. The Scenario testing of the base model also showed that the introduction of ACT in Mozambique had a greater impact on reducing prevalence and that the start time of the ACT strategy did not decrease the effect on prevalence though earlier start times decreased the total number of resistance cases. The ratio of Res5 to Res3 infections increased faster when ACT was the treatment policy than when SP was the policy. Thus higher values of this ratio are associated with ACT being the treatment strategy in place. Thus differential equation modeling is an effective modeling tool to capture the spread of disease and to test the effects of policy interventions as it allows one to assess these effects on populations and averages out individual-level intricacies to better inform policy decisions.
Lewis, Alexander David. "Glutathione-dependent enzyme expression in drug resistance." Thesis, University of Edinburgh, 1988. http://hdl.handle.net/1842/19050.
Full textMillour, Julie. "FOXM1 in breast cancer and drug resistance." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/17849.
Full textOliveira, Pisco Angela. "Drug resistance mechanisms in cancer heterogeneous populations." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/drug-resistance-mechanisms-in-cancer-heterogeneous-populations(a5f2d318-3fd2-4491-84a5-fd2d69ac1b40).html.
Full textNdifor, Anthony Mbisah. "Drug metabolism in malaria parasites and its possible role in drug resistance." Thesis, University of Liverpool, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317180.
Full textLaxminarayan, Ramanan. "Economics of antibiotic resistance /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7412.
Full textLin, Kuan-Hung. "Viral Proteases as Drug Targets and the Mechanisms of Drug Resistance: A Dissertation." eScholarship@UMMS, 2009. http://escholarship.umassmed.edu/gsbs_diss/841.
Full textLin, Kuan-Hung. "Viral Proteases as Drug Targets and the Mechanisms of Drug Resistance: A Dissertation." eScholarship@UMMS, 2016. https://escholarship.umassmed.edu/gsbs_diss/841.
Full textLo, Maisie K. Y. "Role of transporters in pancreatic cancer drug resistance." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/361.
Full textZhou, Rong. "Topoisomerase II and drug resistance in leukemic cells /." Stockholm, 2001. http://diss.kib.ki.se/2001/91-628-4738-4/.
Full textCertain, Laura K. "Genetic profiling of drug resistance in Plasmodium falciparum /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/10252.
Full textDoorn, Hindrik Rogier van. "Rapid diagnosis and drug resistance of Mycobacterium tuberculosis." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2005. http://dare.uva.nl/document/88988.
Full textMohammedali, Hani. "Computational studies of protein dynamics and drug resistance." Thesis, University of Essex, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654529.
Full textCocker, Hilary Anne. "Drug resistance in paediatric rhabdomyosarcoma : pathways and circumvention." Thesis, Institute of Cancer Research (University Of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250655.
Full textDawes, Matthew. "Drug-induced vasodilation in human forearm resistance vasculature." Thesis, King's College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342326.
Full textTaylor, LaShan Denise. "Antibiotic Resistance: Multi-Drug Profiles and Genetic Determinants." [Johnson City, Tenn. : East Tennessee State University], 2001. http://etd-submit.etsu.edu/etd/theses/available/etd-1210101-134219/unrestricted/taylorl121101a.pdf.
Full textTaylor, Sonya Dorothy Anne. "Genetic analysis of drug resistance in Trypanosoma brucei." Thesis, University of Glasgow, 2004. http://theses.gla.ac.uk/30898/.
Full textBarbosa, Mónica Rodrigues. "Evolution of antifungal drug resistance in Candida albicans." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/15332.
Full textThe human pathogen Candida albicans is characterized by the presence of a hybrid tRNA (tRNACAGSer) that can be aminoacylated by both LeuRS and SerRS. This tRNA is responsible for the ambiguity of the CUG codon that can be decoded as serine (97%) and Leucine (3%). Previous studies showed that the level of ambiguity is variable depending on the growth condition of the fungus. These studies also revealed that strains mistranslating at a higher level grew better in the presence of azoles, particularly in the presence of fluconazole. To analyse the effect of translation errors on the acquisition of drug resistance, three strains of C. albicans were used (T0, T1 and T2). These strains have increasing levels of Leu misincorporation and were constructed by inserting a copy (T1) or two copies (T2) of a tDNACAG Leu gene. These strains were evolved experimentally in the presence and absence of the antifungal agent according to the approved EUCAST protocol. The level of ambiguity of all strains was measured along the evolution experiment, using a reporter system based on the green fluorescent protein (GFP). Finally, the type of acquired resistance was also evaluated (genetic or phenotypic resistance). Experimental data suggest that the acquisition of resistance is dependent on the drug and the percentage of mistranslation. Strains with increased mistranslation (T2) acquired more resistance (256 μg/ml) and faster than the control T0. Mutations in ERG11 gene might be responsible for this resistance. Also, T2 strain showed a decrease in the mistranslation level during both evolution experiments (with and without drug) as a consequence of the deletion of one of the two copies of the mutant tDNACAG Leu gene. This result further highlights the genetic instability of strain T2.
O fungo patogénico Candida albicans tem a particularidade de possuir um tRNA (tRNACAGSer) híbrido que é aminoacilado pelas sintetases SerRS e LeuRS. Esta característica é responsável pela ambiguidade do codão CUG que é decodificado como Ser (97%) e como Leu (3%). Estudos anteriores demonstraram que o nível de ambiguidade é variável dependendo da condição de crescimento do fungo e revelaram que estipes com maior erro de tradução crescem melhor na presença de azoís, particularmente em meio com fluconazol. Para analisar os efeitos dos erros de tradução na aquisição de resistência a drogas, construímos três estirpes de C. albicans (T0, T1 e T2) com níveis crescentes de incorporação de Leucina, inserindo uma cópia (T1) ou duas cópias (T2) do gene tDNACAG Leu. Estas estirpes foram evoluídas experimentalmente na presença e na ausência de fluconazol de acordo com o protocolo da EUCAST. O nível de ambiguidade destas estirpes foi avaliado durante o período da evolução usando um sistema reporter baseado na proteína fluorescente GFP. Finalmente foi também avaliada o tipo de resistência adquirida pelas estirpes ambíguas (resistência genética ou fenotípica). Os dados experimentais sugerem que a aquisição de resistência depende da droga e da percentagem do erro de tradução. As estirpes com maior erro de tradução (T2) adquirem mais resistência (256 μg/ml) e mais rapidamente sendo que mutações no gene ERG11 poderão ser responsáveis por essa resistência. Esta estirpe apresentou também um decréscimo da taxa de erro de tradução em ambas as evoluções (com e sem droga), resultado da deleção de uma das duas cópias do gene tDNACAG Leu. Este resultado reforça a instabilidade genética da estirpe T2.
Araújo, Ana Rita Dias. "Antifungal drug resistance driven by mistranslation in yeast." Master's thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7942.
Full textAntifungal drug resistance has become a severe clinical problem and new targets for the development of new antifungal drugs need to be discovered. Ongoing work in our laboratory indicates that codon mistranslation due to codon ambiguity accelerates antifungal drug resistance in the human pathogen Candida albicans. The present work aimed to elucidate if non pathogenic yeasts behave similarly. Therefore, mistranslation was artificially induced in Saccharomyces cerevisiae strains by the expression of chimeric tRNAs. Each of the constructed strains carried a low-copy number plasmid, containing a C. albicans tRNAUGA Ser gene, whose anticodon was changed by site-directed mutagenesis, in order to replace it by several other anticodons. As the identity elements of the tRNA remained unchanged it was still acylated with serine. These mutant tRNAs are expected to compete with the native ones and have an impact on the proteome. To verify if mistranslation leads to an advantageous phenotype regarding antifungal drug resistance, cells were exposed to different antifungals. Additionally, microarray analyses were performed on non-exposed mutant strains in order to detect a possible predisposition to resist antifungal exposure.
A resistência a antifúngicos é, hoje em dia, um problema sério a nível clínico, pelo que há necessidade de descobrir novos alvos que possibilitem o desenvolvimento de novos antifúngicos. Investigação a decorrer no nosso laboratório indica que a ambiguidade no reconhecimento de codões em Candida albicans, um patogénio humano, acelera a resistência a antifúngicos. O presente trabalho teve como objectivo elucidar se a ambiguidade em leveduras não patogénicas aumenta a resistência a antifúngicos. Para tal foi induzida artificialmente ambiguidade no reconhecimento de diferentes codões em Saccharomyces cerevisiae. As estirpes resultantes possuem um plasmídeo de replicação reduzida contendo um tRNAUGA Ser de C. albicans sujeito a mutagénese dirigida, de modo a mutar o anticodão. Os novos anticodões reconhecem codões de diferentes aminoácidos mas o tRNA mantém os elementos de reconhecimento, sendo acilado com serina. Os tRNAs mutantes vão competir com os nativos, formando-se um proteoma estatístico. Para verificar se estas estirpes apresentam um fenótipo mais vantajoso em resposta a variados antifúngicos, foram expostas a diferentes classes dos mesmos. Adicionalmente, foram analisados microarrays de estirpes não expostas a qualquer stress adicional, de modo a perceber se as mesmas apresentam já tendência para responderem de modo diferente perante os diferentes antifúngicos.
Lalonde, Matthew Scott. "HIV Drug Resistance Polymorphism Analysis Using Ligase Discrimination." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1244059520.
Full textShahi, Thakuri Pradip. "MODELING ANTI-CANCER DRUG RESISTANCE USING TUMOR SPHEROIDS." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1574725861735168.
Full textHayward, Ian Philip. "Experimental studies on drug resistance in ovarian cancer." Thesis, University of Edinburgh, 1986. http://hdl.handle.net/1842/18951.
Full textMatthews, Amanda. "A Mathematical Model for Anti-Malarial Drug Resistance." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1721.
Full textScreen, Michael P. "MicroRNA control of drug-resistance in haematological malignancies." Thesis, University of Leicester, 2015. http://hdl.handle.net/2381/32535.
Full textRichardson, Julie. "Ovarian cancer stem-like cells and drug resistance." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/8009/.
Full textBlake, Lynn Dong. "Antimalarial Exoerythrocytic Stage Drug Discovery and Resistance Studies." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6182.
Full textOthman, Ramadhan T. "ABCB1 and MGMT mediated drug resistance in medulloblastoma." Thesis, University of Nottingham, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.718995.
Full textZelnikar, Mojca. "Evolution of drug resistance in influenza A viruses." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16203.
Full textMak, Chun-kit Gannon. "Antimicrobial resistance in Haemophilus species." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36213664.
Full textDaoud, Roni N. "A study of MRP1-drug interactions : identification of the drug binding site(s)." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36801.
Full textNebel, Sibylle F. "The role of DNA mismatch repair in drug resistance /." [S.l.] : [s.n.], 1998. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=12553.
Full textSvedhem, Johansson Veronica. "Kinetics of HIV-1 drug resistance mutations in vivo /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-671-9/.
Full textLin, Ti. "Mechanisms of drug resistance inv-src transformed rat fibroblasts." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185090.
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