Complex behavioral and synaptic effects of dietary branched chain amino acids in a mouse model of amyotrophic lateral sclerosis

Scope: We hypothesized that chronic supplementation with branched chain amino acids (BCAAs) affects neurobehavioral development in vulnerable gene backgrounds. Methods and results: A murine model of amyotrophic lateral sclerosis (ALS), G93A mice bearing the mutated human superoxide dismutase 1 (SOD1) gene, and control mice received from 4 to 16 wk of age dietary supplementation with BCAAs at doses comparable to human usage. Motor coordination, exploratory behaviors, pain threshold, synaptic activity and response to glutamatergic stimulation in primary motor cortex slices were evaluated between the 8th and 16th week. The glial glutamate transporter 1 (GLT‐1) and metabotropic glutamate 5 receptor (mGlu5R) were analyzed by immunoblotting in cortex, hippocampus and striatum. BCAAs induced hyperactivity, decreased pain threshold in wild‐type mice and exacerbated the motor deficits of G93A mice while counteracting their abnormal pain response. Electrophysiology on G93A brain slices showed impaired synaptic function, reduced toxicity of GLT‐1 blocking and increased glutamate toxicity prevented by BCAAs. Immunoblotting indicated down‐regulation of GLT‐1 and mGlu5R in G93A, both effects counteracted by BCAAs. Conclusion: These results, though not fully confirming a role of BCAAs in ALS‐like etiology in the genetic model, clearly indicate that BCAAs' complex effects on central nervous system depend on gene background and raise alert over their spread use.     

Nanostructured Ag platforms as biosensors of nucleobase chains

Nanostructured Ag platforms have been obtained by simple chemical procedure and characterized by AFM (atomic force microscopy) measurements, for use in biosensing by means of SERS (surface-enhanced Raman scattering) spectroscopy. The SERS efficiency of these substrates has been verified by microRaman measurements on small RNA chains with different nucleobase content, showing sensitivity near attomole level. It is our opinion that these metal substrates may be widely used as appropriate sensors for detecting biomolecules in many applications concerning medical diagnostics, pharmacological research and nanomaterials technology.     

Effect of the nucleation mechanism on complex poly(L‐lactide) nonisothermal crystallization process. Part 1: Thermal and structural characterization

The effect of the holding temperature and time in the melt state of poly(L ‐lactide) (PLLA) samples on the nonisothermal melt crystallization process and on the structure have been investigated by means of DSC, polarized optical microscopy and wide angle X‐ray scattering. As standard starting material, single crystals grown from dilute solution were used. In the mild melting condition, the survived athermal nuclei favor high temperature polymer crystallization, while the more severe treatment leads the PLLA to crystallize at higher supercooling with a sporadic nucleation. At the intermediate melting temperature a distinct double nucleation mechanism was observed while at the lower nuclei concentration, a double crystallization rate was also found. © 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2011     

Nutrient gradients in a granular activated carbon biofilter drives bacterial community organization and dynamics

The quality of drinking water is ensured by hygienic barriers and filtration steps, such as ozonation and granular activated carbon (GAC) filtration. Apart from adsorption, GAC filtration involves microbial processes that remove biodegradable organic carbon from the ozonated ground or surface water and ensures biological stability of the treated water. In this study, microbial community dynamics in were monitored during the start-up and maturation of an undisturbed pilot-scale GAC filter at 4 depths (10, 45, 80 and 115 cm) over a period of 6 months. New ecological tools, based on 16S rRNA gene-DGGE, were correlated to filter performance and microbial activity and showed that the microbial gradients developing in the filter was of importance. At 10 cm from the top, receiving the freshly ozonated water with the highest concentration of nutrients, the microbial community dynamics were minimal and the species richness remained low. However, the GAC samples at 80-115 cm showed a 2-3 times higher species richness than the 10-45 cm samples. The highest biomass densities were observed at 45-80 cm, which corresponded with maximum removal of dissolved and assimilable organic carbon. Furthermore, the start-up period was clearly distinguishable using the Lorenz analysis, as after 80 days, the microbial community shifted to an apparent steady-state condition with increased evenness. This study showed that GAC biofilter performance is not necessarily correlated to biomass concentration, but rather that an elevated functionality can be the result of increased microbial community richness, evenness and dynamics.     

Endophytic Microbiome Responses to Sulfur Availability in Beta vulgaris (L.)

Sulfur is an essential plant macronutrient, and its adequate supply allows an efficient root storage and sugar extractability in sugar beets (Beta vulgaris L.). In this study, we investigated the effect of changes in sulfur availability on the endophytic community structure of sugar beets. Plants were hydroponically grown in a complete nutrient solution (S-supplied), a nutrient solution without MgSO₄ (S-deprived), and a nutrient solution without MgSO₄ for six days and resupplied with 100 μM MgSO₄ for 48 h (S-resupplied). The sulfur status was monitored by inductively coupled plasma ICP–OES, and combustion analysis together with the evaluation of microRNA395 as a biomarker for sulfate status. Metabarcoding of the bacterial 16S rRNA gene was carried out in order to determine leaf endophytic community structure. The Shannon diversity index significantly differed (p < 0.05) between sulfate-supplied and sulfate-deprived seedlings. Validation by Real-Time PCR showed a significant increase (p < 0.05) of Burkholderia spp. in sulfate-deprived plants as compared to sulfate-supplied ones. The study sheds new light on the effects of nutrient deficiency on the microbiome of sugar beet plants.     

On the speed of pop-out in feature search.

When something unique is present in a scene, this element may become immediately visible and one has the impression that it pops out from the scene. This phenomenon, known as pop-out in the visual search literature, is thought to produce the fastest search possible, and response times for the detection of the pop-out target do not vary as a function of the number of nontargets. In this study, we challenge this notion and show that the detection of a given visual feature is faster for multiple targets than for a single pop-out target. However, when the task requires a detailed target analysis, the pop-out condition can be faster than the multiple-target condition. Current models of visual search are discussed in light of the findings. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Parallel and high sensitive photonic crystal cavity assisted read-out for DNA-chips

In this work we propose a new technological approach aimed at improving the performances of DNA-chips in terms of detection sensitivity, signal-to-noise ratio and parallel analyses (spatial and spectral). It is based on the efficient enhancement of markers fluorescence through the insertion of photonic crystal nanocavities (PhC) in DNA-chips, thus giving higher sensitivity and allowing detection of small amounts of target biomolecules in the investigated solution. Moreover, this strategy univocally associates a specific emission wavelength to a specific nanocavity (and to the bio-probe immobilized on it), therefore allowing to infer the presence of a determined element in the solution by a simple spectral analysis of the optical response of the read-out region. This guarantees parallel detection of multiple elements and faster analysis time. The proposed 2D-PhC cavity assisted bio-chip read-out can be easily extended from DNA to a wide range of biomolecules, such as proteins, antibodies, aptamers, receptors.     

Effect of magnetic field on shot noise in diffusive conductors and cascaded barriers

We present a numerical study, based on a recursive Green’s function approach, of the effect of magnetic field on conductance and shot noise in diffusive conductors and cascaded barriers. In particular, we find a progressive reduction of the Fano factor as a function of magnetic field and a disappearance, as a result of the symmetry breaking properties of magnetic field, of conductance enhancement and suppression effects associated with evenly-unevenly spaced barriers.     

Stability analysis of supercavitating underwater vehicles with adaptive cavitator

Supercavitating vehicles are characterized by substantially reduced hydrodynamic drag with respect to fully wetted underwater vehicles. Drag is localized at the nose of the vehicle, where a cavitator generates a cavity that completely envelops the body (supercavity). The size of the supercavity and the magnitude of the drag at the cavitator are greatly affected by the vehicle's velocity and by the shape and size of the cavitator. This paper investigates the benefits of an adaptive cavitator, capable of adjusting its size with the speed of forward motion of the vehicle. Objective of the cavitator size variation is to maintain the minimum cavity length and the minimum drag at any given speed. The localized drag and the propulsion required to sustain the vehicle's motion can cause the vehicle to buckle. In addition, propulsion acts as a follower force and may be a source of flutter-type instabilities when the vehicle is accelerating. The insurgence of buckling and flutter is investigated to identify limiting operating conditions. The analysis is performed by using a finite element model developed to predict stability limits. The case of pulsating thrust is also addressed through the application of the method of infinite determinants, also known as Bolotin's method.