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Detecting Changes in the Gut Microbiome following Human Biotherapy via Pyrosequencing of the 16S rRNA Gene

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dc.contributor.advisor Kim, Peter
dc.contributor.author Pinder, Shaun
dc.date.accessioned 2013-04-25T18:45:50Z
dc.date.available 2013-04-25T18:45:50Z
dc.date.copyright 2013-04
dc.date.created 2013-04-05
dc.date.issued 2013-04-25
dc.identifier.uri http://hdl.handle.net/10214/6578
dc.description MSc thesis en_US
dc.description.abstract Human biotherapy (HBT) or fecal transplants have been shown to be an effective treatment for patients with recurrent Clostridium difficile infection (CDI). This study examines the microbial populations present in CDI patients pre- and post-HBT by extracting bacterial DNA from stool samples and performing pyrosequencing of the 16S rRNA gene. We then compared these microbial populations to those of the donors. We examined 19 pairs of patient samples, of which 14 were clinically cured of CDI, and 5 patients were failures. The successful treatment of CDI was associated with an increase in diversity and richness of the patient's fecal microbiome. The majority of those cured showed an increase in the proportion of Firmicutes and decrease in the proportion of Proteobacteria, although varying antibiotic exposure and innate variability between patients was observed. en_US
dc.description.sponsorship NSERC, CIHR, St. Joseph's Healthcare Hamilton en_US
dc.language.iso en en_US
dc.rights.uri http://creativecommons.org/licenses/by/2.5/ca/ *
dc.subject Clostridium difficile en_US
dc.subject 16S rRNA en_US
dc.subject pyrosequencing en_US
dc.subject mothur en_US
dc.subject fecal transplant en_US
dc.subject human biotherapy en_US
dc.subject gut microbiome en_US
dc.subject exact logistic regression via MCMC en_US
dc.subject Roche 454 DNA sequencing en_US
dc.title Detecting Changes in the Gut Microbiome following Human Biotherapy via Pyrosequencing of the 16S rRNA Gene en_US
dc.type Thesis en_US
dc.degree.programme Mathematics and Statistics en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Mathematics and Statistics en_US
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