The presence of infections caused by Staphylococcus aureus (S. aureus) and its resistant form - methicillin-resistant S. aureus (MRSA) - are more frequent and treatment with increasing resistance becomes increasingly complicated. Early identification of microbiome in the infectious wounds leads to implementation of the correct treatment and thereby saving the patient from the formation of abscesses, amputation of limbs or even death. Presented thesis entitled Progressive tools for the identification of Staphylococcus aureus is focused on the study of the occurrence of these bacteria in clinical samples, design and construction of new detection methods based on magnetic separation and evaluation of the effects of antibiotics and metal nanoparticles on growth and biofilm formation, gene expression and protein composition in S. aureus and MRSA. The most abundant microorganism in microbiome of infections is S. aureus and in our studies was used as model bacteria for the design of fast, accurate and sensitive detection techniques utilizing indirect detection such as: i) detection of product of biochemical reaction between bacterial enzymes and matrix, ii) detection of the amplified gene using gold nanoparticles as an indicator probe, iii) determination of the detection oligonucleotides after sandwich capture of bacteria between micro and nanoparticles, and iv) a multiplex detection of quantum dots using sandwich capture of specific gene from selected bacteria. Subsequently, an influence effect of beta-lactam antibiotics and their complexes with selenium nanoparticles to non-resistant and resistant form of S. aureus was investigated. The significant inhibition of bacterial growth and biofilm formation as well as changes in gene expression and protein composition were achieved in MRSA by using the complexes of antibiotics and selenium nanoparticles.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:425063 |
| Date | January 2016 |
| Creators | Číhalová, Kristýna |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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