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Thesis (M.Sc. (Nutrition)--North-West University, Potchefstroom Campus, 2008.

Thesis (M.Sc. (Nutrition)--North-West University, Potchefstroom Campus, 2008.

Thesis (M.Sc. (Nutrition)--North-West University, Potchefstroom Campus, 2008.

>Magister Scientiae - MSc / Genetic variability in genes encoding drug metabolizing enzymes, transporters and targets are known to be the main factors of inter-individual differences in therapeutic outcome. Genetic factors are estimated to be responsible for about 15-30% of inter-individual variation in drug disposition and response. Single-nucleotide polymorphisms (SNPs) are the most prevalent class of genetic variation that could explain the variability in drug efficacy and undesired side effects for patients. The aims of this study were to develop and evaluate the performance of robust and high throughput techniques for genotyping ten polymorphisms related to anticancer drugs and ten polymorphisms related to cholesterol lowering drugs. SNaPshot minisequencing and high resolution melt analysis (HRM) genotyping panels were developed, optimized, and their performances were evaluated and compared. SNaPshot minisequencing systems were developed and successfully optimized for the genotyping of ten SNPs associated with anticancer drug therapy, and ten SNPs associated with cholesterol lowering drugs. These systems were used to genotype the selected SNPs in 130 healthy Cape Admixed participants residing in Cape Town, South Africa. Population genetics data obtained for the studied SNPs were analysed using several statistical analysis software tools. Important population genetic parameters were calculated. Among others, allelic and genotypic frequencies were determined and compared with other populations in the world. High resolution melt analysis (HRM) genotyping panels were developed, optimized and their performance were evaluated and compared to the SNaPshot assays. HRM was explored as an alternative inexpensive and rapid methodology to genotype five SNPs related to anticancer therapy and five SNPs related to cholesterol lowering therapy (statins). Unlike the SNaPshot assays, rigorous optimization was required for the detection heterozygous genotypes via HRM. Both assays were validated using direct sequencing and compared to each other. The HRM system is a closed tube, cheap and (theoretically) rapid method for identifying genetic variations. HRM was however found to be more time consuming, needed further optimization, primer redesigning and more evaluation. The developed genotyping systems could be further validated using clinical samples from patients. This could help in optimizing drug therapy for cancer and cholesterol treatment.

Disease- and drug-related bone disorders are rapidly increasing in the population. The drugs which are used for the treatment of neurodegenerative diseases and metabolic derangements, may have negative or positive effects on bone tissues. In the first study, the possible side-effects of Carbamazepine and epileptic seizures on bone structure and composition were investigated by FTIR and synchrotron-FTIR microspectroscopy, AFM and micro- and nano-hardness analysis. The effects on the blood parameters, bone turnover and vitamin D metabolism were also investigated by ELISA and western blot analysis. The current study provides the first report on differentiation of the effects of both epileptic seizures and AED therapy on bones. Besides Carbamazepine treatment, seizures also caused a decrease in the strength of bone. The biochemical data showed that both the epileptic and drug-treated groups decreased vitamin D levels by increasing the vitamin D catabolism enzyme / 25-hydroxyvitamin D-24-hydroxylase. In the second study, the possible pleiotropic (positive) effects of cholesterol lowering drug / Simvastatin on bones were investigated by ATR-FTIR spectroscopy. The current study provides the first report on dose-dependent effects of simvastatin on protein structure and lipid conformation of bones. ATR-FTIR studies showed that although both high and low dose simvastatin strengthen bones, low dose simvastatin treatment is much more effective in increasing bone strength. Neural network analysis revealed an increased antiparallel and aggregated beta sheet and random coil in the protein secondary structure of high dose group implying a protein denaturation. Moreover, high dose may induce lipid peroxidation which limit the pleiotropic effects of high dose treatment on bones. This study clearly demonstrated that using low dose simvastatin is safer and more effective for bone health than high dose simvastatin treatment.