Human fungal superficial infections are mainly caused by dermatophytes. These infections are distributed worldwide, common for people of all ages, in both sexes. The current treatments include taking oral antifungal drugs and topical therapy. However, treatments of superficial infections can be challenging in children and elderly mainly due to compliance issues and associated potential health risks and side-effects. Photo dynamic therapy (PDT) is a novel approach to treat fungal superficial infections. In this approach, light is used to excite a photosensitizer to turn readily available oxygen into reactive oxygen species (ROS) to kill the pathogen. In this research, we have used the pathogenic dermatophyte Trichophyton rubrum as a model to screen for photosensitizers and identify the best combinations of photosensitizer X carrier X light exposure time against T. rubrum. I obtained the In vitro photosensitizers’ Minimum Inhibitory Concentration (MIC), Minimum Fungicidal Concentration (MFC), carrier inhibitory and fungicidal combinations experimental results. In addition, ex vivo experimental results for photosensitizer and carrier systematic treatments are presented with both nail pieces and nail well apparatus. The in vitro results confirm the fungicidal ability of photosensitizer Methylene Blue and natural extracts Inula, Propolis and St. John’s Wort to T. rubrum. For ex vivo experiments, among the three natural extracts, only Inula showed promising fungicidal effect on nail pieces. Methylene Blue and carrier, Methylene Blue plus Inula and carrier combinations at certain concentrations all showed strong nail penetration ability and fungicidal effect against T. rubrum infection. These results suggest promising avenues for further clinical research and application of PDT. / Thesis / Master of Applied Science (MASc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/24923 |
| Date | January 2019 |
| Creators | Liu, Lijun |
| Contributors | Zhu, Shiping, Xu, Jianping, Chemical Engineering |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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