Systematic development of pH-independent controlled release tablets of carvedilol using central composite design and artificial neural networks

The purpose of this study was to apply the optimization method incorporating artificial neural network (ANN) using pH-independent release of weakly basic drug, carvedilol from HPMC-based matrix formulation. Because of weakly basic nature of carvedilol, drug shows pH-dependent solubility. The enteric polymer EUDRAGIT L100 was added formulations to overcome pH-dependent solubility of carvedilol. Effects of the Hydroxypropylmethyl cellulose (HPMC) K4M and EUDRAGIT L100 amount on drug release were investigated. For this purpose 13 kinds of formulations were prepared at three different levels of each variables. The optimization of the formulation was evaluated by using ANN method. Two formulation parameters, the amounts of HPMC K4M and Eudragit L100 at three levels (-1, 0, 1) were selected as independent/input variables. In-vitro dissolution sampling times at twelve different time points were selected as dependent/output variables. By using experimental dissolution results and amount of HPMC K4M and EUDRAGIT L100, percentage of dissolved carvedilol was predicted by ANN. Similarity factor (f(2)) between predicted and experimentally observed profile was calculated and f(2) value was found 76.33. This value showed that there was no difference between predicted and experimentally observed drug release profile. As a result of these experiments, it was found that ANNs can be successfully used to optimize controlled release drug delivery systems

Baculoviral vector loaded mesenchymal stem cells as efficient gene therapy tools for cancer treatment

Insufficient targeting of the therapeutic genes to tumor cells is one of the major reasons for failure in cancer gene therapy. Mesenchymal stem cells (MSCs) seem to be a good candidate as a carrier for gene therapy because of its selective tumor tissue-homing properties. In the current study, we constructed baculoviral vectors (BVs) carrying cytosine deaminase (CD) (BV-CD) or green fluorescence protein (GFP) genes (BV-GFP) and tested the transduction efficiency of the vectors in tumor and mesenchymal stem cells. We also tested the in vivo efficacy of the BV-CD vector in a colon cancer model. Our results showed that the recombinant baculoviral vectors can efficiently transduce mammalian cells and express genes of interest. The BV-CD vector treatment caused significant in vitro cytotoxicity when used with 5-fluorocytosine. MSCs loaded with the BV-CD vector caused a significant delay in tumor growth and increased survival when compared to control and MSC alone treated groups bearing colon cancer. Our results show that the recombinant BV-CD vector could be used either alone or loaded into MSCs in the treatment of established tumors