Safety and efficacy of laropiprant and extended-release niacin combination in the management of mixed dyslipidemias and primary hypercholesterolemia

Statins form the cornerstone of pharmaceutical cardiovascular disease prevention. However, despite very effective statin intervention, the majority of events remain unpreventable. In some cases statin therapy alone is insufficient to achieve adequate lipid levels whereas other patients are unable to tolerate statins. This calls for additional treatment options. Niacin has a long history of success in reducing low-density lipoprotein cholesterol and triglycerides, and increasing high-density lipoprotein cholesterol. It was the first lipid-lowering drug to demonstrate a reduction in cardiovascular events, and remains the only one that has consistently shown benefits on surrogate outcomes when added to background therapies of other lipid-lowering drugs, including statins. Niacin’s uptake in clinical practice has been less successful due to its side-effect profile, most notable being flushing. The uncovering of the mechanism by which flushing is induced, together with the development of a prostaglandin D2 receptor inhibitor (laropiprant) which reduces this downstream flushing effect of niacin, has sparked new promise in therapeutic lipid management. It provides an additional treatment option into managing lipid abnormalities. The uptake in clinical practice of the niacin–laropiprant combination will depend on the relative improvements experienced by the patient in the side-effect profile compared to other treatment options, as well as on the the keenly-awaited outcome studies currently underway. Until these data become available guidelines and recommendations are unlikely to change and niacin’s position in therapeutic cardiovascular risk prevention will be determined by clinician opinion and experience, and patient preferences

An Improvement Study of the Decomposition-based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization

The convergence and the diversity of the decompositionbased evolutionary algorithm Global WASF-GA (GWASF-GA) relies on a set of weight vectors that determine the search directions for new non-dominated solutions in the objective space. Although using weight vectors whose search directions are widely distributed may lead to a well-diversified approximation of the Pareto front (PF), this may not be enough to obtain a good approximation for complicated PFs (discontinuous, non-convex, etc.). Thus, we propose to dynamically adjust the weight vectors once GWASF-GA has been run for a certain number of generations. This adjustment is aimed at re-calculating some of the weight vectors, so that search directions pointing to overcrowded regions of the PF are redirected toward parts with a lack of solutions that may be hard to be approximated. We test different parameters settings of the dynamic adjustment in optimization problems with three, five, and six objectives, concluding that GWASF-GA performs better when adjusting the weight vectors dynamically than without applying the adjustment.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A Prototype Selection Committee Decision Analysis and Support System, SCDAS: Theoretical Background and Computer Implementation

One of the important problems in decision analysis related to the situation, where the committee (group of decision makers) has to select the best alternative from a given, finite set. In the most cases, the alternatives are evaluated on the basis of several quality factors. In the paper, the authors present the new approach, based on the principle of satisfactory decision making. This approach ensures proper structuralization of the decision process and allows proper balance of opinion of the group member. The experimental decision support system SCDAS was developed to test this approach

Radiographic characterization and energy spectrum of the IoGold 125I source Model 3631‐A

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135057/1/mp8543.pd

Mean-risk models using two risk measures: A multi-objective approach

This paper proposes a model for portfolio optimisation, in which distributions are characterised and compared on the basis of three statistics: the expected value, the variance and the CVaR at a specified confidence level. The problem is multi-objective and transformed into a single objective problem in which variance is minimised while constraints are imposed on the expected value and CVaR. In the case of discrete random variables, the problem is a quadratic program. The mean-variance (mean-CVaR) efficient solutions that are not dominated with respect to CVaR (variance) are particular efficient solutions of the proposed model. In addition, the model has efficient solutions that are discarded by both mean-variance and mean-CVaR models, although they may improve the return distribution. The model is tested on real data drawn from the FTSE 100 index. An analysis of the return distribution of the chosen portfolios is presented

Undermining ribosomal RNA transcription in both the nucleolus and mitochondrion : an offbeat approach to target MYC-driven cancer

The MYC transcription factor coordinates, via different RNA polymerases, the transcription of both ribosomal RNA (rRNA) and protein genes necessary for nucleolar as well as mitochondrial ribogenesis. In this study we tested if MYC-coordination of rRNA transcription in the nucleolus and in the mitochondrion drives (cancer) cell proliferation. Here we show that the anti-proliferative effect of CX-5461, a Pol I inhibitor of rRNA transcription, in ovarian (cancer) cell contexts characterized by MYC overexpression is enhanced either by 2'-C-Methyl Adenosine (2'-C-MeA), a ribonucleoside that inhibits POLRMT mitochondrial rRNA (mt-rRNA) transcription and doxycycline, a tetracycline known to affect mitochondrial translation. Thus, hindering not only mt-rRNA transcription, but also mitoribosome function in MYCoverexpressing ovarian (cancer) cells, potentiates the antiproliferative effect of CX-5461. Targeting MYC-regulated rRNA transcription and ribogenesis in both the nucleolus and mitochondrion seems to be a novel approach worth of consideration for treating MYC-driven cancer

Group A Streptococcal S Protein Utilizes Red Blood Cells as Immune Camouflage and Is a Critical Determinant for Immune Evasion.

Group A Streptococcus (GAS) is a human-specific pathogen that evades the host immune response through the elaboration of multiple virulence factors. Although many of these factors have been studied, numerous proteins encoded by the GAS genome are of unknown function. Herein, we characterize a biomimetic red blood cell (RBC)-captured protein of unknown function-annotated subsequently as S protein-in GAS pathophysiology. S protein maintains the hydrophobic properties of GAS, and its absence reduces survival in human blood. S protein facilitates GAS coating with lysed RBCs to promote molecular mimicry, which increases virulence in vitro and in vivo. Proteomic profiling reveals that the removal of S protein from GAS alters cellular and extracellular protein landscapes and is accompanied by a decrease in the abundance of several key GAS virulence determinants. In vivo, the absence of S protein results in a striking attenuation of virulence and promotes a robust immune response and immunological memory

Association of GH Gene Polymorphism with Semen Parameters of Boars

Relations between polymorphism of the Growth Hormone gene and semen characters were analyzed. The DNA for the purpose of examination was isolated from the peripheral blood of 173 boars. In the boar herd under study the frequency of allele occurrence for the GH/MspI was as follows: allele GHA - 0.79 and allele GHB - 0.21. As far as the GH/HaeII polymorphism is concerned, the relevant frequency was as follows: allele GHA - 0.53 and allele GHB - 0.47, respectively. The relationship between the GH genotypes and semen characteristic traits were analyzed. The study showed that boars with GHBGHB genotype of both polymorphous loci of the GH gene produced ejaculates of larger volume, higher percentage, number of normozosperms in the ejaculate and number of insemination as compared to GHA GHA and GHAGHB boars. Our current findings suggested that polymorphism of the GH/MspI and GH/HaeII might have potential effect for reproductive performance traits of boars