Encapsulation of Lornoxicam into spermaceti microspheres and comparative bioavailability study

In this study, Lornoxicam (LX) loaded spermaceti (SC) microspheres were prepared using meltable emulsified dispersion cooling induced solidification technique and the bioavailability of the marketed product (Flexispaz® capsule-reference-product A) was compared with the optimized formulation (lornoxicam loaded spermaceti microspheres–test–product B). Morphological studies of wax microspheres were evaluated using scanning electron microscopy (SEM). The SEM images showed the spherical shape of wax microspheres and more than 97% of the isolated microspheres were in the size range 309-317 μm. Differential scanning calorimetry (DSC), Fourier transforms infrared (FTIR) spectroscopy and stability studies showed that the drug after encapsulation with SC microspheres was stable and compatible. A single dose, randomized, complete cross over study of LX (8mg) microspheres were carried out on 10 healthy male and female Albino sheep’s under fasting conditions. Plasma LX concentrations and other pharmacokinetic parameters obtained were statistically analyzed. Based on this study, it can be concluded that drug loaded LX microspheres and Flexispaz® capsule are bioequivalent in term of the rate and extent of absorption.Key words: Lornoxicam; Wax microspheres; Release kinetics; Bioavailability; Bioequivalence

Encapsulation of Lornoxicam into spermaceti microspheres and comparative bioavailability study

In this study, Lornoxicam (LX) loaded spermaceti (SC) microspheres were prepared using meltable emulsified dispersion cooling induced solidification technique and the bioavailability of the marketed product (Flexispaz® capsule-reference-product A) was compared with the optimized formulation (lornoxicam loaded spermaceti microspheres–test–product B). Morphological studies of wax microspheres were evaluated using scanning electron microscopy (SEM). The SEM images showed the spherical shape of wax microspheres and more than 97% of the isolated microspheres were in the size range 309-317 μm. Differential scanning calorimetry (DSC), Fourier transforms infrared (FTIR) spectroscopy and stability studies showed that the drug after encapsulation with SC microspheres was stable and compatible. A single dose, randomized, complete cross over study of LX (8mg) microspheres were carried out on 10 healthy male and female Albino sheep’s under fasting conditions. Plasma LX concentrations and other pharmacokinetic parameters obtained were statistically analyzed. Based on this study, it can be concluded that drug loaded LX microspheres and Flexispaz® capsule are bioequivalent in term of the rate and extent of absorption.Key words: Lornoxicam; Wax microspheres; Release kinetics; Bioavailability; Bioequivalence

BART Inhibits Pancreatic Cancer Cell Invasion by PKCα Inactivation through Binding to ANX7

A novel function for the binder of Arl two (BART) molecule in pancreatic cancer cells is reported. BART inhibits invasiveness of pancreatic cancer cells through binding to a Ca2+-dependent, phosphorylated, guanosine triphosphatase (GTPase) membrane fusion protein, annexin7 (ANX7). A tumor suppressor function for ANX7 was previously reported based on its prognostic role in human cancers and the cancer-prone mouse phenotype ANX7(+/−). Further investigation demonstrated that the BART–ANX7 complex is transported toward cell protrusions in migrating cells when BART supports the binding of ANX7 to the protein kinase C (PKC) isoform PKCα. Recent evidence has suggested that phosphorylation of ANX7 by PKC significantly potentiates ANX7-induced fusion of phospholipid vesicles; however, the current data suggest that the BART–ANX7 complex reduces PKCα activity. Knocking down endogenous BART and ANX7 increases activity of PKCα, and specific inhibitors of PKCα significantly abrogate invasiveness induced by BART and ANX7 knockdown. These results imply that BART contributes to regulating PKCα activity through binding to ANX7, thereby affecting the invasiveness of pancreatic cancer cells. Thus, it is possible that BART and ANX7 can distinctly regulate the downstream signaling of PKCα that is potentially relevant to cell invasion by acting as anti-invasive molecules

Cross-protection against European swine influenza viruses in the context of infection immunity against the 2009 pandemic H1N1 virus : studies in the pig model of influenza

Pigs are natural hosts for the same influenza virus subtypes as humans and are a valuable model for cross-protection studies with influenza. In this study, we have used the pig model to examine the extent of virological protection between a) the 2009 pandemic H1N1 (pH1N1) virus and three different European H1 swine influenza virus (SIV) lineages, and b) these H1 viruses and a European H3N2 SIV. Pigs were inoculated intranasally with representative strains of each virus lineage with 6- and 17-week intervals between H1 inoculations and between H1 and H3 inoculations, respectively. Virus titers in nasal swabs and/or tissues of the respiratory tract were determined after each inoculation. There was substantial though differing cross-protection between pH1N1 and other H1 viruses, which was directly correlated with the relatedness in the viral hemagglutinin (HA) and neuraminidase (NA) proteins. Cross-protection against H3N2 was almost complete in pigs with immunity against H1N2, but was weak in H1N1/pH1N1-immune pigs. In conclusion, infection with a live, wild type influenza virus may offer substantial cross-lineage protection against viruses of the same HA and/or NA subtype. True heterosubtypic protection, in contrast, appears to be minimal in natural influenza virus hosts. We discuss our findings in the light of the zoonotic and pandemic risks of SIVs

Antiepileptic drugs’ tolerability and safety – a systematic review and meta-analysis of adverse effects in dogs

<p>Various anti-epileptic drugs (AEDs) are used for the management of idiopathic epilepsy (IE) in dogs. Their safety profile is an important consideration for regulatory bodies, owners and prescribing clinicians. However, information on their adverse effects still remains limited with most of it derived from non-blinded non-randomized uncontrolled trials and case reports.</p><p><span>This poster won third place, which was presented at the Veterinary Evidence Today conference, Edinburgh November 1-3, 2016. </span></p><br /> <img src="https://www.veterinaryevidence.org/rcvskmod/icons/oa-icon.jpg" alt="Open Access" /

A Mathematical Framework for Protein Structure Comparison

Comparison of protein structures is important for revealing the evolutionary relationship among proteins, predicting protein functions and predicting protein structures. Many methods have been developed in the past to align two or multiple protein structures. Despite the importance of this problem, rigorous mathematical or statistical frameworks have seldom been pursued for general protein structure comparison. One notable issue in this field is that with many different distances used to measure the similarity between protein structures, none of them are proper distances when protein structures of different sequences are compared. Statistical approaches based on those non-proper distances or similarity scores as random variables are thus not mathematically rigorous. In this work, we develop a mathematical framework for protein structure comparison by treating protein structures as three-dimensional curves. Using an elastic Riemannian metric on spaces of curves, geodesic distance, a proper distance on spaces of curves, can be computed for any two protein structures. In this framework, protein structures can be treated as random variables on the shape manifold, and means and covariance can be computed for populations of protein structures. Furthermore, these moments can be used to build Gaussian-type probability distributions of protein structures for use in hypothesis testing. The covariance of a population of protein structures can reveal the population-specific variations and be helpful in improving structure classification. With curves representing protein structures, the matching is performed using elastic shape analysis of curves, which can effectively model conformational changes and insertions/deletions. We show that our method performs comparably with commonly used methods in protein structure classification on a large manually annotated data set

A Fisher-Rao Metric for curves using the information in edges

Two curves which are close together in an image are indistinguishable given a measurement, in that there is no compelling reason to associate the measurement with one curve rather than the other. This observation is made quantitative using the parametric version of the Fisher-Rao metric. A probability density function for a measurement conditional on a curve is constructed. The distance between two curves is then defined to be the Fisher-Rao distance between the two conditional pdfs. A tractable approximation to the Fisher-Rao metric is obtained for the case in which the measurements are compound in that they consist of a point x and an angle α which specifies the direction of an edge at x. If the curves are circles or straight lines, then the approximating metric is generalized to take account of inlying and outlying measurements. An estimate is made of the number of measurements required for the accurate location of a circle in the presence of outliers. A Bayesian algorithm for circle detection is defined. The prior density for the algorithm is obtained from the Fisher-Rao metric. The algorithm is tested on images from the CASIA Iris Interval database