Phenolic glyscosides, a new class of human recombinant nucleotide pyrophosphatase phosphodiesterase-1 inhibitors

Cytotoxicity and kinetic studies of phenolic glycosides, benzoyl salireposide (1) and salireposide (2), isolated from Symplocos racemosa, were performed against phosphodiesterase I enzyme from snake venom and human nucleotide pyrophosphatase phosphodiesterase-1. Lineweaver-Burk and Dixon plots and their secondary replots showed that these compounds are pure non-competitive inhibitors of both enzymes. K(i) Values of compounds 1 and 2 were found to be 360 and 1000 microM, respectively, against human nucleotide pyrophosphatase phosphodiesterase, and 525 and 1100 microM, respectively, against snake venom phosphodiesterase. IC(50) values of compounds 1 and 2 are 90 microM +/- 0.04 and 383 microM +/- 0.03, respectively, against human nucleotide pyrophosphatase phosphodiesterase and 171 microM +/- 0.02 and 544 microM +/- 0.021, respectively, against snake venom phosphodiesterase. Both compounds were found to be nontoxic up to concentration of 500 microM/mL as >90% cells were viable after 3 h of incubation. These compounds are potential candidates for the therapy of arthritis.     

High-throughput Pyrosequencing of a phage display library for the identification of enriched target-specific peptides

Gene therapy clinical trials have highlighted the importance of specific cellular/tissue targeting of gene delivery vectors. Phage display libraries are powerful tools for the selection of novel peptide ligands as targeting moieties because of their high-throughput screening potential. However, a severe rate-limiting step in this procedure in terms of time, numbers, and cost is the sequence identification of selected phages. Here we describe the application of Pyrosequencing technology for sequencing phage isolates after panning a random 7-mer peptide expressing phage library against the A549 bronchial epithelial cell line to search for enrichment of possible targeting peptides. Pyrosequencing allows sequencing of 96 phages at one time in approximately 45 min at only a sixth of the cost of conventional sequencing methods. Using this technology, we have identified four sequences of interest. A phage binding assay revealed that three of the four sequences show a significant increase in binding abilities and specificity for A549 cells when compared to an unrelated cell line.     

Localization of carboxypeptidase A-like enzyme in rat kidney

In this study we demonstrate that carboxypeptidase A (CPA)-like enzyme is expressed in rat kidney. The major metabolites of angiotensin (Ang) I by the rat renal mesangial cell extract at 37 degrees C, pH 7.4, were Ang 1-9 and Ang II. Quinaprilat did not influence the formation of Ang 1-9, but it inhibited formation of Ang II. The formation of Ang 1-9 was inhibited by potato carboxypeptidase inhibitor, 1,10-phenanthroline or EDTA. Lowering the pH from 7.4 to 4.0 also inhibited the formation of this nonapeptide. These findings suggest that a metallocarboxypeptidase is responsible for Ang 1-9 production. Using monoclonal antibodies to CPA, Western blot showed the presence of CPA-like enzyme in the extracts prepared from the mesangial cells or kidney cortex of the rat. Immunohistochemistry showed that CPA-like enzyme is localized in the mesangial glomerular cells and adventitia of kidney blood vessels, whereas it was absent in the renal tubules. Our data suggest that a CPA-like enzyme could be added to a repertoire of enzymes present in the rat mesangial cells and adventitia of renal blood vessels.     

Roles of insulin resistance and obesity in regulation of plasma insulin concentrations

Plasma glucose, insulin, and C-peptide concentrations were determined in response to graded infusions of glucose, and insulin secretion rates were calculated over each sampling period. Measurements were also made of insulin clearance, resistance to insulin-mediated glucose, uptake, and the plasma glucose, insulin, and C-peptide concentrations at hourly intervals from 8:00 AM to 4:00 PM in response to breakfast and lunch. Plasma glucose, insulin, and C-peptide concentrations were significantly (P < 0.01) higher in obese women in response to the graded intravenous glucose infusion, associated with a 40% (P < 0.005) greater insulin secretory response. Degree of insulin resistance correlated positively (P < 0.05) with the increase in insulin secretion rate in both nonobese (r = 0.52) and obese (r = 0.58) groups and inversely (P < 0.05) with the decrease in insulin clearance in obese (r = -0.46) and nonobese (r = -0.39) individuals. Weight loss was associated with significantly lower plasma glucose, insulin, and C-peptide concentrations in response to graded glucose infusions and in day-long insulin concentrations. Neither insulin resistance nor the insulin secretory response changed after weight loss, whereas there was a significant increase in the rate of insulin clearance during the glucose infusion. It is concluded that 1) obesity is associated with a shift to the left in the glucose-stimulated insulin secretory dose-response curve as well as a decrease in insulin clearance and 2) changes in insulin secretion and insulin clearance in obese women are more a function of insulin resistance than obesity.     

Lovastatin and (+)‐geodin production by Aspergillus terreus from crude glycerol

The use of pure substrate represents a significant proportion of the cost of manufacturing a drug such as lovastatin. This study explores the production of lovastatin and (+)‐geodin by Aspergillus terreus ATCC 20542 using biodiesel‐derived crude glycerol (CG) as a feedstock. Shake flask experiments showed reduced lovastatin production and glycerol consumption in the presence of 10–50 g/L CG with respect to pure glycerol controls. At 50 g/L, lovastatin and (+)‐geodin production was significantly reduced by 82 and 73%, respectively. The lowest lovastatin inhibition was detected in 30 g/L of CG (48%), which was accompanied by a significant rise in (+)‐geodin production (338%). Further investigation was performed on three major impurities found in CG, namely methanol (MeOH), sodium chloride (NaCl), and fatty acids (oleic acid and palmitic acid (PA), soap). None was particularly inhibitory for lovastatin, except soap and PAs, which reduced its production by more than 50% at all concentrations tested. In contrast, (+)‐geodin was inhibited in the presence of MeOH and PA by up to 46 and 91%, respectively. These observations indicate that partial purification of CG would be potentially useful in improving production of lovastatin and (+)‐geodin by A. terreus.     

Modeling and Analysis of Unsteady Axisymmetric Squeezing Fluid Flow through Porous Medium Channel with Slip Boundary

The aim of this article is to model and analyze an unsteady axisymmetric flow of non-conducting, Newtonian fluid squeezed between two circular plates passing through porous medium channel with slip boundary condition. A single fourth order nonlinear ordinary differential equation is obtained using similarity transformation. The resulting boundary value problem is solved using Homotopy Perturbation Method (HPM) and fourth order Explicit Runge Kutta Method (RK4). Convergence of HPM solution is verified by obtaining various order approximate solutions along with absolute residuals. Validity of HPM solution is confirmed by comparing analytical and numerical solutions. Furthermore, the effects of various dimensionless parameters on the longitudinal and normal velocity profiles are studied graphically.     

Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field

Digital image watermarking is an important technique for the authentication of multimedia content and copyright protection. Conventional digital image watermarking techniques are often vulnerable to geometric distortions such as Rotation, Scaling, and Translation (RST). These distortions desynchronize the watermark information embedded in an image and thus disable watermark detection. To solve this problem, we propose an RST invariant domain watermarking technique based on fractional calculus. We have constructed a domain using Heaviside function of order alpha (HFOA). The HFOA models the signal as a polynomial for watermark embedding. The watermark is embedded in all the coefficients of the image. We have also constructed a fractional variance formula using fractional Gaussian field. A cross correlation method based on the fractional Gaussian field is used for watermark detection. Furthermore the proposed method enables blind watermark detection where the original image is not required during the watermark detection thereby making it more practical than non-blind watermarking techniques. Experimental results confirmed that the proposed technique has a high level of robustness.