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Poly (ethylene)-glycol conjugated solid lipid nanoparticles of noscapine improve biological half-life,brain delivery and efficacy in glioblastoma cells
Authors:Jitender Madan  Ravi Shankar Pandey  Vikas Jain  Om Prakash Katare  Ramesh Chandra  Anju Katyal
Institution:1. Department of Pharmaceutics, Hindu College of Pharmacy, Sonepat (Haryana) India;2. Department of Pharmaceutical Biotechnology, SLT Institute of Pharmaceutical Sciences, Guru Ghasidas Vishwavidylaya, Bilaspur, India;3. Famycare Limited, Mumbai, India;4. Department of Pharmaceutics, University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, India;5. Dr B.R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
Abstract:Noscapine crosses blood–brain-barrier and inhibits proliferation of glioblastoma cells. However, short plasma half-life and rapid elimination necessitate the administration of multiple injections for successive chemotherapy. Noscapine bearing solid lipid nanoparticles, Nos-SLN and poly (ethylene)-glycol conjugated solid lipid nanoparticles of noscapine, Nos-PEG-SLN of 61.3 ± 9.3-nm and 80.5 ± 8.9-nm containing 80.4 ± 3.2% and 83.6 ± 1.2% of Nos, were constructed. First order kinetic and Higuchi equation were followed to release the Nos at intracellular pH ~ 4.5. Further, a decrease in IC50 (Nos; 40.5 μM > Nos-SLN; 27.2 μM > 20.8 μM) and enhanced subG1 population were observed in U87cells. Plasma half-life was enhanced up to ~ 11-fold and ~ 5-fold by Nos-PEG-SLN and Nos-SLN which significantly (P < 0.05) deposits 400.7 μg/g and 313.1 μg/g of Nos in comparison to 233.2 μg/g by drug solution. This is first report demonstrating a workable approach to regulate the administration of multiple injections of Nos, warranting further in vivo tumor regression study for superior management of brain cancer.From the Clinical EditorThis report describes a possible approach to regulate the administration of multiple injections of Noscapine using solid lipid nanoparticles. The data warrant further in vivo tumor regression studies for optimal management of glioblastoma, a generally very poorly treatable brain cancer.
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