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5 result(s) for "Obunike, Joseph"
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Anacetrapib lowers LDL by increasing ApoB clearance in mildly hypercholesterolemic subjects
Individuals treated with the cholesteryl ester transfer protein (CETP) inhibitor anacetrapib exhibit a reduction in both LDL cholesterol and apolipoprotein B (ApoB) in response to monotherapy or combination therapy with a statin. It is not clear how anacetrapib exerts these effects; therefore, the goal of this study was to determine the kinetic mechanism responsible for the reduction in LDL and ApoB in response to anacetrapib. We performed a trial of the effects of anacetrapib on ApoB kinetics. Mildly hypercholesterolemic subjects were randomized to background treatment of either placebo (n = 10) or 20 mg atorvastatin (ATV) (n = 29) for 4 weeks. All subjects then added 100 mg anacetrapib to background treatment for 8 weeks. Following each study period, subjects underwent a metabolic study to determine the LDL-ApoB-100 and proprotein convertase subtilisin/kexin type 9 (PCSK9) production rate (PR) and fractional catabolic rate (FCR). Anacetrapib markedly reduced the LDL-ApoB-100 pool size (PS) in both the placebo and ATV groups. These changes in PS resulted from substantial increases in LDL-ApoB-100 FCRs in both groups. Anacetrapib had no effect on LDL-ApoB-100 PRs in either treatment group. Moreover, there were no changes in the PCSK9 PS, FCR, or PR in either group. Anacetrapib treatment was associated with considerable increases in the LDL triglyceride/cholesterol ratio and LDL size by NMR. These data indicate that anacetrapib, given alone or in combination with a statin, reduces LDL-ApoB-100 levels by increasing the rate of ApoB-100 fractional clearance. ClinicalTrials.gov NCT00990808. Merck & Co. Inc., Kenilworth, New Jersey, USA. Additional support for instrumentation was obtained from the National Center for Advancing Translational Sciences (UL1TR000003 and UL1TR000040).
Anacetrapib lowers LDL by increasing ApoB clearance in mildly hypercholesterolemic subjects
BACKGROUND. Individuals treated with the cholesteryl ester transfer protein (CETP) inhibitor anacetrapib exhibit a reduction in both LDL cholesterol and apolipoprotein B (ApoB) in response to monotherapy or combination therapy with a statin. It is not clear how anacetrapib exerts these effects; therefore, the goal of this study was to determine the kinetic mechanism responsible for the reduction in LDL and ApoB in response to anacetrapib. METHODS. We performed a trial of the effects of anacetrapib on ApoB kinetics. Mildly hypercholesterolemic subjects were randomized to background treatment of either placebo (n = 10) or 20 mg atorvastatin (ATV) (n = 29) for 4 weeks. All subjects then added 100 mg anacetrapib to background treatment for 8 weeks. Following each study period, subjects underwent a metabolic study to determine the LDL-ApoB-100 and proprotein convertase subtilisin/kexin type 9 (PCSK9) production rate (PR) and fractional catabolic rate (FCR). RESULTS. Anacetrapib markedly reduced the LDL-ApoB-100 pool size (PS) in both the placebo and ATV groups. These changes in PS resulted from substantial increases in LDL-ApoB-100 FCRs in both groups. Anacetrapib had no effect on LDL-ApoB-100 PRs in either treatment group. Moreover, there were no changes in the PCSK9 PS, FCR, or PR in either group. Anacetrapib treatment was associated with considerable increases in the LDL triglyceride/cholesterol ratio and LDL size by NMR. CONCLUSION. These data indicate that anacetrapib, given alone or in combination with a statin, reduces LDL-ApoB-100 levels by increasing the rate of ApoB-100 fractional clearance. TRIAL REGISTRATION. ClinicalTrials.gov NCT00990808. FUNDING. Merck & Co. Inc., Kenilworth, New Jersey, USA. Additional support for instrumentation was obtained from the National Center for Advancing Translational Sciences (UL1TR000003 and UL1TR000040).
Influence of glucose on production and N-sulfation of heparan sulfate in cultured adipocyte cells
Altered lipoprotein lipase regulation associated with diabetes leading to the development of hypertriglyceridemia might be attributed to possible changes in content and the fine structure of heparan sulfate and its associated lipoprotein lipase. Adipocyte cell surface is the primary site of synthesis of lipoprotein lipase and the enzyme is bound to cell surface heparan sulfate proteoglycans via heparan sulfate side chains. In this study, the effect of diabetes on the production of adipocyte heparan sulfate and its sulfation (especially N-sulfation) were examined. Mouse 3T3-L1 adipocytes were exposed to high glucose (25 mM) and low glucose (5.55 mM) in the medium and cell-associated heparan sulfate was isolated and characterized. A significant decrease in total content of heparan sulfate was observed in adipocytes cultured under high glucose as compared to low glucose conditions. The degree of N-sulfation was-assessed through oligosaccharide mapping of heparan sulfate after chemical cleavages involving low pH (1.5) nitrous acid and hydrazinolysis/high pH (4.0) nitrous acid treatments; N-sulfation was found to be comparable between the adipocyte heparan sulfates produced under these glucose conditions. The activity and message levels for N-deacetylase/N-sulfotransferase, the enzyme responsible for N-sulfation in the biosynthesis of heparan sulfate, did not vary in adipocytes whether they were exposed to low or high glucose. While most cells or tissues in diabetic situations produce heparan sulfate with low-charge density concomitant with a decrease in N-sulfation, adipocyte cell system is an exception in this regard. Heparan sulfate from adipocytes cultured in low glucose conditions binds to lipoprotein lipase by the same order of magnitude as that derived from high glucose conditions. It is apparent that adipocytes cultured under high glucose conditions produce diminished levels of heparan sulfate (without significant changes in N-sulfation). In conclusion, it is possible that the reduction in heparan sulfate in diabetes could contribute to the decreased levels of heparan sulfate associated lipoprotein lipase, leading to diabetic hypertriglyceridemia.
The quadratic effects of energy and protein in the phase-fed broilers
Three experiments were conducted to determine quadratic growth functions based on cumulative protein and energy intake in broiler chickens during starter, grower, and finisher phases of feeding. Indian River male broiler chicks were used for all experiments. In experiment 1, a 4 x 4 factorial design was utilized consisting of 4 levels of dietary protein (16, 20, 24 and 28%) and 4 levels of dietary energy (2970, 3120, 3265 and 3410 kcal ME/kg). These diets were replicated twice and fed to 40 birds/pen for 21 days. The quadratic growth function best describing growth during the starter phase was: BW = 38.28013 +.62604*P +.172768*E $-$.009532*P$\\sp2$ $-$.000047201*E$\\sp2$ +.001238*P*E, where BW = grams body weight; P = grams cumulative protein consumption; and E = Kcal cumulative energy consumption. In experiment 2, three economical starter diets selected from experiment 1 were fed for 21 days after which nine diets in a 3 x 3 factorial arrangement (16, 20 and 24% protein and 3120, 3265 and 3410 kcal ME/kg) were fed for another 21 days. The grower diets were thus replicated 3 times. The quadratic growth function best describing growth through the grower phase was BW = 36.068398 + 1.727053*P +.103206*E $-$.000072981*P$\\sp2$ +.000001109*E$\\sp2$ $-$.000092706*P*E. This quadratic growth function was not suitable for use in a least cost quadratic programming model because of the positive coefficient describing the quadratic effects of cumulative calorie intake. In experiment 3, nine pens were allocated to each of three economical starter and grower diets selected from the previous two experiments. These diets were fed for 42 days after which finisher diets consisting of 16, 20 and 24% protein and 3120, 3265 and 3410 kcal ME/kg were fed for another 14 days in a 3 x 3 factorial design. The quadratic growth function best describing growth through the finisher phase was BW = 55.447192 + 1.265325*P +.107697*E $-$.001466*P$\\sp2$ $-$.000007127*E$\\sp2$ +.000165*P*E. This quadratic function accurately predicts growth throughout 8 weeks of broiler production and appears suitable for use in a least cost quadratic programming model.