Telopodes of telocytes are influenced in vitro by redox conditions and ageing

Molecular and Cellular Biochemistry - Telocytes (TCs) are a novel cell type identified among interstitial cells in various organs. TCs are characterized by very long cell processes (tens to...     

The association of uric acid with glucose and lipids in general population: Croatian cross-sectional study

Hyperuricemia may have an important role in metabolic syndrome, cardiovascular diseases and stroke. Elevated serum uric acid concentration has been shown to be the strong predictor of cardiovascular mortality in several recently published studies. Our aim was to determine the prevalence of hyperuricemia in general Croatian population and to investigate the association of serum uric acid with glucose and lipids. This was a retrospective cross-sectional study on 6,476 consecutive adults. Prevalence of hyperuricemia was 13.9% in general population and it was significantly higher in males, than in females (26% vs. 6%; p < 0.001). Median uric acid concentration was higher in males than in females (343 vs. 238 micromol/L; p < 0.001). Age, glucose and lipid parameters did not correlate with uric acid. In hyperuricemic subjects, increased concentrations of glucose (33.1% vs. 13.1%; p < 0.001), triglycerides (46.9% vs. 17.6%; p < 0.001), total cholesterol (69.6% vs. 51.9%; p < 0.001), LDL-cholesterol (64.5% vs. 46.4%; p < 0.001) and decreased concentration of HDL-cholesterol (24.3% vs. 13.0%; p < 0.001) were more prevalent than in subjects with normal serum concentrations of uric acid. Hyperuricemia is highly prevalent in Croatian general population and it aggregates with hyperglycemia and dyslipidemia.     

Structure-Function Relationship of the Bik1-Bim1 Complex

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Modeling functional data with spatially heterogeneous shape characteristics

We propose a novel class of models for functional data exhibiting skewness or other shape characteristics that vary with spatial or temporal location. We use copulas so that the marginal distributions and the dependence structure can be modeled independently. Dependence is modeled with a Gaussian or t-copula, so that there is an underlying latent Gaussian process. We model the marginal distributions using the skew t family. The mean, variance, and shape parameters are modeled nonparametrically as functions of location. A computationally tractable inferential framework for estimating heterogeneous asymmetric or heavy-tailed marginal distributions is introduced. This framework provides a new set of tools for increasingly complex data collected in medical and public health studies. Our methods were motivated by and are illustrated with a state-of-the-art study of neuronal tracts in multiple sclerosis patients and healthy controls. Using the tools we have developed, we were able to find those locations along the tract most affected by the disease. However, our methods are general and highly relevant to many functional data sets. In addition to the application to one-dimensional tract profiles illustrated here, higher-dimensional extensions of the methodology could have direct applications to other biological data including functional and structural magnetic resonance imaging (MRI).     

Streptococcus pyogenes Sortase Mutants Are Highly Susceptible to Killing by Host Factors Due to Aberrant Envelope Physiology

Cell wall anchored virulence factors are critical for infection and colonization of the host by Gram-positive bacteria. Such proteins have an N-terminal leader sequence and a C-terminal sorting signal, composed of an LPXTG motif, a hydrophobic stretch, and a few positively charged amino acids. The sorting signal halts translocation across the membrane, allowing sortase to cleave the LPXTG motif, leading to surface anchoring. Deletion of sortase prevents the anchoring of virulence factors to the wall; the effects on bacterial physiology however, have not been thoroughly characterized. Here we show that deletion of Streptococcus pyogenes sortase A leads to accumulation of sorting intermediates, particularly at the septum, altering cellular morphology and physiology, and compromising membrane integrity. Such cells are highly sensitive to cathelicidin, and are rapidly killed in blood and plasma. These phenomena are not a loss-of-function effect caused by the absence of anchored surface proteins, but specifically result from the accumulation of sorting intermediates. Reduction in the level of sorting intermediates leads to a return of the sortase mutant to normal morphology, while expression of M protein with an altered LPXTG motif in wild type cells leads to toxicity in the host environment, similar to that observed in the sortase mutant. These unanticipated effects suggest that inhibition of sortase by small-molecule inhibitors could similarly lead to the rapid elimination of pathogens from an infected host, making such inhibitors much better anti-bacterial agents than previously believed.     

Strategies to develop malic acid biosensors based on malate quinone oxidoreductase (MQO)

An amperometric biosensor based on malate quinone oxidoreductase (MQO) was developed for monitoring of the malolactic fermentation of wines. Screen-printed electrodes coupled with appropriate mediators were used as transducers for this novel biosensor. MQO was immobilized by physical entrapment in a photo-cross-linkable poly(vinyl alcohol) polymer (PVA-SbQ) on the surface of the working electrode. Several electrochemical mediators were studied in order to lower the applied potential and minimise the matrix effects. Among them, 2,6-dichlorophenol indophenol (DPIP) and phenazine methosulfate (PMS) were chosen for further development. The working conditions (mediator concentration, applied potential and pH) were optimised for both DPIP and PMS. Detection limits for both types of biosensors were of 5 μM malic acid. Sensitivities obtained for the linear part of the calibration curve were 0.85 and 1.7 mA/M for the biosensors based on DPIP and PMS, respectively. Interferences due to non-specific oxidations were shown to be negligible when using PMS as mediator.     

Early electrocortical changes consistent with ischemic preconditioning in rat

Ischemic preconditioning (IPC) of the brain describes the neuroprotection induced by a short, conditioning ischemic episode (CIE) to a subsequent severe (test) ischemic episode (TIE). Most of the supporting evidence for IPC is based on histological assessment, several days after TIE. The aim of this study is to investigate if changes induced by IPC can be detected within 30 min of reperfusion following the ischemic episode. A rat model of "four-vessel occlusion" transient global cerebral ischemia and parametric analysis of electrocorticogram were used. A control group was subjected directly to a 10 min TIE, and in a preconditioned group TIE was induced 48 h after a 3 min CIE. Quantitative histology was performed 48 h after TIE. Our key finding is that, 30 min after reperfusion, there is a significant increase in the electrocortical slow activity in the control group but not in the preconditioned group. Moreover the increase inversely correlates with the degree of electrocortical suppression during seconds 10 to 15 after the onset of the ischemic episode.