title: Application of multiple regression analysis in optimization of anastrozole-loaded PLGA nanoparticles.
abstract: The present investigation deals with development of anastrozole-loaded PLGA nanoparticles (NPs) as an alternate to conventional cancer therapy. The NPs were prepared by nanoprecipitation method and optimized using multiple regression analysis. Independent variables included drug:polymer ratio (X1), polymer concentration in organic phase (X2) and surfactant concentration in aqueous phase (X3) while dependent variables were percentage drug entrapment (PDE) and particle size (PS). Results of desirability criteria, check point analysis and normalized error were considered for selecting the formulation with highest PDE and lowest PS. Prepared NPs were characterized for zeta potential, transmission electron microscopy (TEM), differential scanning calorimetry (DSC) and in vitro drug release studies. DSC and TEM studies indicated absence of any drug-polymer interaction and spherical nature of NPs, respectively. In vitro drug release showed biphasic pattern exhibiting Fickian diffusion-based release mechanism. This delivery system of anastrozole is expected to reduce the side effects associated with the conventional cancer therapy by reducing dosing frequency.
authors.affiliation: Drug Delivery Research Laboratory, TIFAC Center of Relevance and Excellence in NDDS, Pharmacy Department, G. H. Patel Building, Donor's Plaza, The M. S. University of Baroda , Fatehgunj, Vadodara 390002, Gujarat , India.
authors.forename: Abhinesh
authors.initials: A
authors.lastname: Kumar
authors.forename: Krutika K
authors.initials: KK
authors.lastname: Sawant
mesh_terms: D000077384:Anastrozole; D018931:Antineoplastic Agents, Hormonal / Q000737:chemistry* / Q000494:pharmacology; D003692:Delayed-Action Preparations / Q000737:chemistry / Q000494:pharmacology; D019344:Lactic Acid / Q000737:chemistry* / Q000494:pharmacology; D008956:Models, Chemical; D053758:Nanoparticles / Q000737:chemistry*; D009570:Nitriles / Q000737:chemistry* / Q000493:pharmacokinetics; D011100:Polyglycolic Acid / Q000737:chemistry* / Q000494:pharmacology; D000077182:Polylactic Acid-Polyglycolic Acid Copolymer; D012044:Regression Analysis; D014230:Triazoles / Q000737:chemistry* / Q000493:pharmacokinetics
chemical_list: D018931:Antineoplastic Agents, Hormonal; D003692:Delayed-Action Preparations; D009570:Nitriles; D014230:Triazoles; D000077182:Polylactic Acid-Polyglycolic Acid Copolymer; D011100:Polyglycolic Acid; D000077384:Anastrozole; D019344:Lactic Acid