Development of Modular Polymeric NPs for Drug Delivery Using Amine-Reactive Chemistry
Notice bibliographique
Résumé
Cancer remains one of the leading causes of death worldwide and very often requires chemotherapy treatment. Despite advances in chemotherapy treatments, some cancers remain difficult to treat due to tumour type, location, and in some cases, the development of drug resistances. In order to tackle cancer more effectively, researchers have explored and developed novel chemotherapy agents. However, many of these agents suffer from low bioavailability or prohibitively high toxicity to the body. Nanotechnology-based drug delivery systems aim to assist in protection and site-specific delivery of these potential anti-cancer agents, increasing their effectiveness and lowering toxic effects. Polymeric NP delivery systems can encapsulate drugs and be coated with functional groups or moieties to enhance various properties such as targeting. \nIn this project, poly(lactic-co-glycolic) acid (PLGA ) NPs were synthesized to encapsulate curcumin (CUR) via single emulsion method. CUR, the principal constituent of Curcuma longa, commonly known as turmeric, has been explored for its anti-cancer potential, but is severely limited by its hydrophobicity and sensitivity to light and water. The PLGA NPs were coated with oligomeric chitosan (COS) and RGD peptide (peptide consisting of Arg-Gly-Asp) using amine-reactive chemistry (NHS and EDC). Both COS and RGD had been previously shown to accumulate and target many different types of cancer cells. NPs were characterised based on size distribution, zeta potential, and binding efficiency of RGD peptide. They were also evaluated on encapsulation efficiency, and stability, of CUR within the NPs. OVCAR-3 cancer cells were treated with COS and RGD-coated PLGA NPs loaded with Coumarin-6 dye for fluorescent imaging of cell uptake. They were also treated with CUR-loaded NPs to determine cytotoxicity and effectiveness of delivery. \nThe NPs exhibited size distribution and zeta potential within expected values, though binding efficiency of RGD was low. CUR-loaded NPs showed significant increase in cytotoxicity over free (unencapsulated) CUR, and void (empty) NPs, suggesting successful delivery of CUR as an anti-cancer agent; the performance of COS and RGD coated NPs over bare PLGA NPs was inconclusive, however. Optimization will be required to improve formulation during the coating steps. Further investigation may be required into alternative binding chemistry, such as click chemistry.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».