| Literature DB >> 34128106 |
Nabil A Alhakamy1,2,3, Shaimaa M Badr-Eldin1,4, Hibah M Aldawsari1,2,3, Anas Alfarsi1, Thikryat Neamatallah5, Solomon Z Okbazghi6, Usama A Fahmy1,2,3, Osama A A Ahmad1,2,3, Basma G Eid5, Wael Ali Mahdi7, Adel F Alghaith7, Sultan Alshehri7,8, Shadab Md9,10,11.
Abstract
Fluvastatin (FLV) is known to inhibit the 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA), which is over-expressed in various cancers. FLV has been reported to decrease cancer development and metastasis. However, because of low bioavailability, extensive first-pass metabolism and short half-life of FLV (1.2 h), it is not appropriate for clinical application. Therefore, FLV-loaded emulsomes were formulated and optimized using Box-Behnken experimental design to achieve higher efficiency of formulation. Antitumor activity of optimized FLV-loaded emulsomes was evaluated in prostate cancer cells using cell cytotoxicity, apoptotic activity, cell cycle analysis, and enzyme-linked immunosorbent assay. The FLV-loaded emulsomes exhibited a monodispersed size distribution with a mean particle size less than 100 nm as measured by zetasizer. The entrapment efficiency was found to be 93.74% with controlled drug release profile. FLV-EMLs showed a significant inhibitory effect on the viability of PC3 cells when compared to the free FLV (P < 0.0025). Furthermore, FLV-EMLs showed significant arrest in G2/M and increase in percentage of apoptotic cells as compared to free FLV. FLV-EMLs were more effective than free FLV in reducing mitochondrial membrane potential and increase in caspase-3 activity. These results suggesting that FLV-EMLs caused cell cycle arrest which clarifies its significant antiproliferative effect compared to the free drug. Therefore, optimized FLV-EMLs may be an effective carrier for FLV in prostate cancer treatment.Entities:
Keywords: apoptosis; caspase; cell cycle; emulsomes; flow cytometry; statins
Year: 2021 PMID: 34128106 DOI: 10.1208/s12249-021-02021-x
Source DB: PubMed Journal: AAPS PharmSciTech ISSN: 1530-9932 Impact factor: 3.246