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http://hdl.handle.net/10362/38193| Título: | Dendrimer-based Report-Eradication Antineoplasic Machines |
| Autor: | Mota, Pedro Manuel Barbosa |
| Orientador: | Bonifácio, Vasco Serpa, Jacinta |
| Palavras-chave: | Ovarian cancer Buthionine sulfoximine Chemoresistance Glutathione Polyurea dendrimers Controlled drug delivery |
| Data de Defesa: | Mai-2018 |
| Resumo: | Polyurea (PURE) dendrimers are a versatile platform for cancer nanotheranostics. The aim of this study was to improve the therapeutic efficacy of carboplatin by a buthionine sulfoximine (BSO) triggered inhibition of glutathione synthesis. BSO nanodelivery was achieved by controlled release from an encapsulated formulation using a folate target polyurea dendrimer of generation four (BSO@PUREG4-FA). Platinum-based anti-cancer drugs, such as cisplatin and carboplatin have been widely used in chemotherapy. In particular, carboplatins are used as standard chemotherapeutic in ovarian cancer, a silent killer, which is the most lethal gynecologic malignancy and the seventh most common cancer among women worldwide. However, carboplatin chemoresistance is a major problem and there is evidence that increased glutathione levels play an important role in the anticancer mechanism of action. Cell death assays using OVCAR3 (OSC) and ES2 (OCCC) ovarian cancer cell lines were used to determine the efficacy of BSO@PUREG4-FA nanoformulations. Cytotoxicity data showed that the encapsulated drug, if compared with the free drug, improve the efficacy of BSO, by reduction of the IC50, against both OVCAR3 (64-fold) and ES2 (146-fold) cell lines. The results showed that inhibition of glutathione synthesis improve the efficacy of carboplatin in both cell lines. In this study a new method for detection of BSO was also developed, based on UV detection upon BSO chemical derivatization. |
| URI: | http://hdl.handle.net/10362/38193 |
| Designação: | Mestre em Bioquímica |
| Aparece nas colecções: | FCT: DQ - Dissertações de Mestrado |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Mota_2018.pdf | 1,34 MB | Adobe PDF | Ver/Abrir |
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