Cytokine profile of autologous conditioned serum for treatment of osteoarthritis, <Emphasis Type="Italic">in vitro</Emphasis>effects on cartilage metabolism and intra-articular levels after injection

Introduction  

Intraarticular administration of autologous conditioned serum (ACS) recently demonstrated some clinical effectiveness in treatment of osteoarthritis (OA). The current study aims to evaluate the in vitro effects of ACS on cartilage proteoglycan (PG) metabolism, its composition and the effects on synovial fluid (SF) cytokine levels following intraarticular ACS administration.     

Post-Stroke Inhibition of Induced NADPH Oxidase Type 4 Prevents Oxidative Stress and Neurodegeneration

Ischemic stroke is the second leading cause of death worldwide. Only one moderately effective therapy exists, albeit with contraindications that exclude 90% of the patients. This medical need contrasts with a high failure rate of more than 1,000 pre-clinical drug candidates for stroke therapies. Thus, there is a need for translatable mechanisms of neuroprotection and more rigid thresholds of relevance in pre-clinical stroke models. One such candidate mechanism is oxidative stress. However, antioxidant approaches have failed in clinical trials, and the significant sources of oxidative stress in stroke are unknown. We here identify NADPH oxidase type 4 (NOX4) as a major source of oxidative stress and an effective therapeutic target in acute stroke. Upon ischemia, NOX4 was induced in human and mouse brain. Mice deficient in NOX4 (Nox4 ^−/−) of either sex, but not those deficient for NOX1 or NOX2, were largely protected from oxidative stress, blood-brain-barrier leakage, and neuronal apoptosis, after both transient and permanent cerebral ischemia. This effect was independent of age, as elderly mice were equally protected. Restoration of oxidative stress reversed the stroke-protective phenotype in Nox4 ^−/− mice. Application of the only validated low-molecular-weight pharmacological NADPH oxidase inhibitor, VAS2870, several hours after ischemia was as protective as deleting NOX4. The extent of neuroprotection was exceptional, resulting in significantly improved long-term neurological functions and reduced mortality. NOX4 therefore represents a major source of oxidative stress and novel class of drug target for stroke therapy.     

Limited proteolysis of streptokinase and properties of some fragments.

Limited proteolysis of streptokinase (Sk) by trypsin and thermolysin was performed under various incubation conditions and analysed by polyacrylamide gel electrophoresis. Several fragments (Sk1, Tr27, Tr17, Th26, and Th16) were isolated and characterized further. The N-terminal sequences of Tr27, Tr17, Th26, Th16 and the C-terminal sequences of Tr27 and Th26 were determined by partial sequencing. The evidence available allows the positioning of these fragments within the Sk sequence. Fragment Sk1 is obtained by carefully standardized tryptic digestion of Sk and gel chromatography under non-denaturing conditions. Sk1 is formed by a large polypeptide Ser60-Lys293 and non-covalently bonded smaller polypeptides composed of amino acids from the N-terminal region Ile1-Lys59 of Sk. Fragment Tr27 consists of the large polypeptide Ser60-Lys293 of Sk1, and can be obtained from Sk1 by removal of the smaller N-terminal polypeptides under denaturing conditions. Fragment Th26 is composed of amino acids Phe63-His291. The N-termini of fragments Tr17 and Th16 start with Glu148 and Ile151. From their electrophoretically-determined sizes it can be concluded that they most probably have the same C-terminal amino acids, Lys293 and His291, as fragments Tr27 and Th26, respectively. Secondary structure elements of similar composition were found in all the fragments studied using circular dichroism (c.d.) and infrared (i.r.) measurements. Differential scanning calorimetric (d.s.c.) measurements were performed in order to correlate the sequence regions of Sk to energetic folding units of the protein. Fragments Sk1, Tr27, Th26, Tr17, and Th16 show one melting peak in the temperature range from 42.8 to 46.1 degrees C (thermal unfolding stage). For fragment Sk1, this melting peak can be separated by deconvolution into two transitions at T1 = 46.1 degree C and T2 = 47.3 degrees C with delta H1 = 450 kJ/mol and delta H2 = 219 kJ/mol, respectively. Fragments Tr17 and Th16 show one two-state transition at T = 42.8 degrees C with delta H = 326 kJ/mol.     

A dual expression platform to optimize the soluble production of heterologous proteins in the periplasm of <Emphasis Type="Italic">Escherichia coli</Emphasis>

The functional analysis of individual proteins or of multiprotein complexes—since the completion of several genome sequencing projects—is in focus of current scientific work. Many heterologous proteins contain disulfide-bonds, required for their correct folding and activity, and therefore, need to be transported to the periplasm. The production of soluble and functional protein in the periplasm often needs target-specific regulatory genetic elements, leader peptides, and folding regimes. Usually, the optimization of periplasmic expression is a step-wise and time-consuming procedure. To overcome this problem we developed a dual expression system, containing a degP-promoter-based reporter system and a highly versatile plasmid set. This combines the differential protein expression with the selection of a target-specific expression plasmid. For the validation of this expression tool, two different molecular formats of a recombinant antibody directed to the human epidermal growth factor receptor and human 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2) were used. By application of this expression system we demonstrated that the amount of functional protein is inversely proportional to the on-line luciferase signal. We showed that this technology offers a simple tool to evaluate and improve the yield of functionally expressed proteins in the periplasm, which depends on the used regulatory elements and folding strategies.     

Exploiting gene-environment interaction to detect genetic associations

Complex disease by definition results from the interplay of genetic and environmental factors. However, it is currently unclear how gene-environment interaction can best be used to locate complex disease susceptibility loci, particularly in the context of studies where between 1,000 and 1,000,000 markers are scanned for association with disease. We present a joint test of marginal association and gene-environment interaction for case-control data. We compare the power and sample size requirements of this joint test to other analyses: the marginal test of genetic association, the standard test for gene-environment interaction based on logistic regression, and the case-only test for interaction that exploits gene-environment independence. Although for many penetrance models the joint test of genetic marginal effect and interaction is not the most powerful, it is nearly optimal across all penetrance models we considered. In particular, it generally has better power than the marginal test when the genetic effect is restricted to exposed subjects and much better power than the tests of gene-environment interaction when the genetic effect is not restricted to a particular exposure level. This makes the joint test an attractive tool for large-scale association scans where the true gene-environment interaction model is unknown.     

Pilot scale photobioreactor system for land-based macroalgae cultivation

Journal of Applied Phycology - Marine macroalgae such as Ulva intestinalis have promising properties as feedstock for cosmetics and pharmaceuticals. However, since the quantity and quality of...     

Selected anthropometric variables and aerobic fitness as predictors of cardiovascular disease risk in children

The aim of this study was to assess the suitability of body mass index, waist circumference, waist-to-height ratio and aerobic fitness as predictors of cardiovascular risk factor clustering in children. A cross-sectional study was conducted with 290 school boys and girls from 6 to 10 years old, randomly selected. Blood was collected after a 12-hour fasting period. Blood pressure, waist circumference (WC), height and weight were evaluated according to international standards. Aerobic fitness (AF) was assessed by the 20-metre shuttle-run test. Clustering was considered when three of these factors were present: high systolic or diastolic blood pressure, high low-density lipoprotein (LDL) cholesterol, high triglycerides, high plasma glucose, high insulin concentrations and low high-density lipoprotein (HDL) cholesterol. A ROC curve identified the cut-off points of body mass index (BMI), WC, waist-to-height ratio (WHtR) and AF as predictors of risk factor clustering. BMI, WC and WHR resulted in significant areas under the ROC curves, which was not observed for AF. The anthropometric variables were good predictors of cardiovascular risk factor clustering in both sexes, whereas aerobic fitness should not be used to identify cardiovascular risk factor clustering in these children.     

Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant

Variations in photosynthesis still cause substantial uncertainties in predicting photosynthetic CO₂ uptake rates and monitoring plant stress. Changes in actual photosynthesis that are not related to greenness of vegetation are difficult to measure by reflectance based optical remote sensing techniques. Several activities are underway to evaluate the sun‐induced fluorescence signal on the ground and on a coarse spatial scale using space‐borne imaging spectrometers. Intermediate‐scale observations using airborne‐based imaging spectroscopy, which are critical to bridge the existing gap between small‐scale field studies and global observations, are still insufficient. Here we present the first validated maps of sun‐induced fluorescence in that critical, intermediate spatial resolution, employing the novel airborne imaging spectrometer HyPlant. HyPlant has an unprecedented spectral resolution, which allows for the first time quantifying sun‐induced fluorescence fluxes in physical units according to the Fraunhofer Line Depth Principle that exploits solar and atmospheric absorption bands. Maps of sun‐induced fluorescence show a large spatial variability between different vegetation types, which complement classical remote sensing approaches. Different crop types largely differ in emitting fluorescence that additionally changes within the seasonal cycle and thus may be related to the seasonal activation and deactivation of the photosynthetic machinery. We argue that sun‐induced fluorescence emission is related to two processes: (i) the total absorbed radiation by photosynthetically active chlorophyll; and (ii) the functional status of actual photosynthesis and vegetation stress.