Overall 195 alleles were detected. The PIC value calculated for these primers ranged from 0.438 to 0.698 which indicates a good level of genetic diversity among the accessions as also revealed by generated similarity matrix. The similarity values among the genotypes ranged from 0.263 to 0.776. The resulting dendrogram divides the accessions into two distinct main clusters (A and B) at 0.40 similarity value. Cluster A has the most diverse jasmine accessions, while cluster B further divided the accessions into GSK2879552 supplier smaller groups. The results clearly indicated that RAPD analysis provide a good tool to detect and classify the genetic diversity of Jasminum spp. It is believed

that these findings are helpful in further exploration, classification and improvement of Jasminum spp. (C) 2013 Friends Science Publishers”
“Introduction: Osteoporosis is a systemic skeletal disease characterized by low bone density and changes in microarchitecture of bone, that have resulted in an increased tendency to fractures. On the metabolic activity of bone affect the following factors find protocol related to nutritional status: increased body mass, gravity, and the fact that adipose tissue is “metabolic

and endocrine organ,” which secretes its hormones, mainly estrogen, leptin and adiponectin, that can affect bone metabolic activity.\n\nObjective: was to show whether, and how, rapid weight loss influnce on bone metabolism.\n\nMethod: The prospective study included 30 women in the generative period hospitalized for obesity treatment with very low calorie diet, which means taking 800 mg of calcium and 500 ij vitmain D daily. Influence of therapy on metabolic bone activity is estimated by analyzing

selleck the parameters of bone metabolic activity: osteocalcin, beta cross laps and PTH in serum was measured by “Elecsys” metodology, based on the sandwich imunometric reaction, at the beginning and end of therapy. In the same time, we determined levels of ionized calcium by measuring the potential difference (potentiometry) on an automated analyzer AVL. Nutritional status at the beginning and end of therapy was evaluated based on TM (kg) and BMI (kg / m(2)), waist circumference and BIA used to evaluate parameters: FAT% (percentage of body fat), FATM (amount of body fat mass in kg) and FFM (percentage of lean body weight in kg).\n\nResults: After treatment there were reduction in body weight (p < 0063), BMI (p < 0082), waist circumference (p < 0.274), percentage of fat mass (p < 0.051), amount of fat mass (p < 0.077), and amounts of fat free mass (p < 0,075). There was a statistically significant difference in parameters of bone resorption at the end of treatment compared to initial values – CrossLaps (p < 0.005) and ionized calcium (p < 0.009). Serum osteocalcin (p < 0.667) and PTH (p < 0.430) were not significantly changed during treatment.