Fabrication and biological evaluation of chitosan coated hyaluronic acid-docetaxel conjugate nanoparticles in CD44(+) cancer cells.

BACKGROUND: Hyaluronic acid (HA) has been used for target-specific drug delivery because of strong affinity to CD44, a marker in which overexpressed in cancer cells and cancer stem cells. Conjugation of HA to the cytotoxic agents via active targeting can improve efficacy, biodistribution, and water solubility. To be able to benefit from passive targeting as well, a nanoparticulate system by counter ion using a polycation like chitosan may lead to a perfect delivery system. METHODS: Water soluble Hyaluronic acid-Docetaxel (HA-DTX) conjugate was prepared and used to formulate chitosan-coated HA-DTX nanoparticles by polyelectrolyte complex (PEC) method and optimized using Box-Behnken design. Biological evaluation of nanoparticles was done in CD44+ cancer cells. RESULTS AND DISCUSSION: Biological evaluation of optimized formula showed IC50 of nanoparticles for 4 T1 and MCF-7 cell lines were 45.34 µM and 354.25 µM against 233.8 µM and 625.9 µM for DTX, respectively with increased cellular uptake showed by inverted confocal microscope. CONCLUSION: Chitosan-coated HA-DTX nanoparticles were more effective against CD44+ cells than free DTX. Chitosan coated hyaluronic acid-docetaxel conjugate nanoparticles fabricated and evaluated in CD44+ cancer cells.

Optimization of paclitaxel-loaded poly (d,l-lactide-co-glycolide-N-p-maleimido benzoic hydrazide) nanoparticles size using artificial neural networks.

The aim of this study was to find a model using artificial neural networks (ANNs) to predict PLGA-PMBH nanoparticles (NPs) size in preparation by modified nanoprecipitation. The input variables were polymer content, drug content, power of sonication and ratio of organic/aqueous phase (i.e. acetone/water), while the NPs size of PLGA-PMBH was assumed as the output variable. Forty samples of PLGA-PMBH NPs containing anticancer drug (i.e. paclitaxel) were synthesized by changing the variable factors in the experiments. The data modeling were performed using ANNs. The effects of input variables (namely, polymer content, drug content, power of sonication and ratio of acetone/water) on the output variables were evaluated using the 3D graphs obtained after modeling. Contrasting the 3D graphs from the generated model revealed that the amount of polymer (PLGA-PMBH) and drug content (PTX) have direct relation with the size of polymeric NPs in the process. In addition, it was illustrated that the ratio of acetone/water was the most important factor affecting the particle size of PLGA-PMBH NPs provided by solvent evaporation technique. Also, it was found that increasing the sonication power (up to a certain amount) indirectly affects the polymeric NPs size however it was directly affected in higher values.

cis-Dichlorodiamminoplatinum (II) glyconanoparticles by drug-induced ionic gelation technique targeted to prostate cancer: preparation, optimization and in vitro characterization.

BACKGROUND: Cancer stem cells (CSC) have been proposed as the reason of cancer relapse which are characterized mainly based on CD44+ phenotype with other supplementary markers. The aim of the present study is to fabricate cis-dichlorodiamminoplatinum (II) (CDDP) loaded glyconanoparticles using hyaluronic acid (HA) which is also known as the endogenous substrate for CD44 in vivo. METHODS: For this purpose, a drug-induced ionic gelation technique has been used to prepare CDDP-incorporated nanoparticles. To optimize the fabrication technique, stirring rate, stirring time, and HA/CDDP ratio have been selected as the main factors from other factors and subjected to face-centered central composite design for optimization purposes. The optimized nanoparticles were further characterized using different complementary methods including FTIR, SEM, AFM and DSC. To evaluate the biological effectiveness of CDDP nanoparticles release study, MTS assay, tumor cell clonogenicity and sphere formation assay have been performed as well. RESULTS: Spherical CDDP nanoparticles with Z-average approx. 150nm with low PdI were prepared by adjusting the selected variables. FTIR results indicated the presence of inclusion complexes between CDDP and HA which lead to preparing nanoparticles with high entrapment efficiency and drug content of 87.4 and 43.74 percentage respectively. In vitro release study showed a sustained release of CDDP up to 4 days, and cellular studies confirmed that nanoparticles formation keeps the anticancer activity of formulated CDDP while moderate increase in cancer stem cell suppression. CONCLUSION: It seems hyaluronic acid could be successfully exploited as carrier in cancer-targeted drug delivery with a look at targeting the CSCs.

Validating a stability indicating HPLC method for kinetic study of cetirizine degradation in acidic and oxidative conditions.

A stability indicating High-Performance Liquid Chromatography (HPLC) method was validated and used to study the degradation of cetirizine dihydrochloride in acidic and oxidative conditions. The separation was carried out on a Symmetry C18 column and a mixture of 50 mM KH2PO4 and acetonitrile (60:40 v/v, pH = 3.5) was used as the mobile phase. The method was linear over the range of 1-20 µg/mL of cetirizine dihydrochloride (r(2) > 0.999) and the within-day and between-day precision values were less than 1.5%. The results showed that cetirizine dihydrochloride was unstable in 2 M HCl and 0.5% H2O2. The kinetics of the acidic degradation showed a pseudo-first-order reaction in the temperature range of 70-90°C. In addition, the kinetics of hydrogen peroxide mediated degradation was pseudo-first-order in the temperature range of 50-80°C.