Issue 20, 2016

Atorvastatin calcium loaded PCL nanoparticles: development, optimization, in vitro and in vivo assessments

Abstract

The aim of the present study was to prepare atorvastatin calcium (ATR) loaded poly(ε-caprolactone) nanoparticles (ALPNs) to enhance the oral bioavailability, efficacy and safety profile of drug. ALPNs were prepared by a nanoprecipitation technique while formulation and process parameters were optimized using a central composite factorial design. The optimized ALPNs were investigated through in vitro (solid state characterization, morphological, drug release study and stability study) analysis and in vivo (pharmacokinetic, efficacy and safety study) behaviour in rats. The optimized ALPNs having 197 ± 5 nm particle size, 0.213 ± 0.012 polydispersity index and 75.6 ± 3.2% entrapment efficiency, did not exhibit any physicochemical interaction of the drug with the carrier. The X-ray diffraction, differential scanning calorimetry and electron diffraction pattern has substantiated the amorphous character of ATR encapsulated in nanoparticles. The smooth and homogeneous spherical shape of the nanoparticles was evidenced in morphological analyses. The in vitro drug release profile of ALPNs showed a 96 h sustained release and the pharmacokinetic profile in rats exhibited significant enhancement in bioavailability, Cmax and mean resident time of the drug. ALPNs exhibited similar efficacy (plasma lipid profile and glucose level) and markedly improved biochemical safety profiles (creatinine, blood urea nitrogen, creatinine kinase, lactate dehydrogenase and aspartate amino transferase) of rat plasma at a 50% reduced dose compared to orally administered ATR.

Graphical abstract: Atorvastatin calcium loaded PCL nanoparticles: development, optimization, in vitro and in vivo assessments

Supplementary files

Article information

Article type
Paper
Submitted
14 Dec 2015
Accepted
01 Feb 2016
First published
02 Feb 2016

RSC Adv., 2016,6, 16520-16532

Atorvastatin calcium loaded PCL nanoparticles: development, optimization, in vitro and in vivo assessments

N. Kumar, S. Chaurasia, R. R. Patel, G. Khan, V. Kumar and B. Mishra, RSC Adv., 2016, 6, 16520 DOI: 10.1039/C5RA26674B

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