Curcumin Loaded Dendrimers Specifically Reduce Viability of Glioblastoma Cell Lines.
John GallienBhairavi SrinageshwarKellie GalloGretchen HoltgrefeSindhuja KoneruPaulina Sequeiros OteroCatalina Alvarez BuenoJamie MosherAlison RohD Stave KohtzDouglas SwansonAjit SharmaGary DunbarJulien RossignolPublished in: Molecules (Basel, Switzerland) (2021)
Glioblastoma (GB) is a deadly and aggressive cancer of the CNS. Even with extensive resection and chemoradiotherapy, patient survival is still only 15 months. To maintain growth and proliferation, cancer cells require a high oxidative state. Curcumin, a well-known anti-inflammatory antioxidant, is a potential candidate for treatment of GB. To facilitate efficient delivery of therapeutic doses of curcumin into cells, we encapsulated the drug in surface-modified polyamidoamine (PAMAM) dendrimers. We studied the in vitro effectiveness of a traditional PAMAM dendrimer (100% amine surface, G4 NH2), surface-modified dendrimer (10% amine and 90% hydroxyl-G4 90/10-Cys), and curcumin (Cur)-encapsulated dendrimer (G4 90/10-Cys-Cur) on three species of glioblastoma cell lines: mouse-GL261, rat-F98, and human-U87. Using an MTT assay for cell viability, we found that G4 90/10-Cys-Cur reduced viability of all three glioblastoma cell lines compared to non-cancerous control cells. Under similar conditions, unencapsulated curcumin was not effective, while the non-modified dendrimer (G4 NH2) caused significant death of both cancerous and normal cells. By harnessing and optimizing the components of PAMAM dendrimers, we are providing a promising new route for delivering cancer therapeutics. Our results with curcumin suggest that antioxidants are good candidates for treating glioblastoma.
Keyphrases
- induced apoptosis
- cell cycle arrest
- anti inflammatory
- oxidative stress
- papillary thyroid
- randomized controlled trial
- systematic review
- emergency department
- endoplasmic reticulum stress
- machine learning
- small molecule
- case report
- squamous cell
- high throughput
- locally advanced
- artificial intelligence
- young adults
- rectal cancer
- deep learning
- lymph node metastasis
- cancer therapy
- big data
- induced pluripotent stem cells