Analysis of microperoxidases using liquid chromatography, post-column substrate conversion and fluorescence detection

A liquid chromatographic method with on-line activity determination for microperoxidases has been developed. After enzymatic digestion of a cytochrome, possibly under formation of microperoxidases, the product mixture is separated by reversed-phase liquid chromatography. The products first pass a diode-array detector, and are then subjected to a reaction with 4-(N-methylhydrazino)-7-nitro-2,1,3-benzooxadiazole (MNBDH) and hydrogen peroxide. In a reaction coil, microperoxidases catalyze the reaction under formation of the fluorescent 4-(N-methylamino)-7-nitro-2,1,3-benzooxadiazole (MNBDA). Quantification of the microperoxidases is performed using a fluorescence detector at an excitation wavelength of 470 nm and an emission wavelength of 545 nm, respectively. For this LC-based detection system, limits of detection are 3 x 10(-8) mol/L, limits of quantification are 9 x 10(-8) mol/L, and a linear range from 9 x 10(-8) mol/L to 3 x 10(-6) mol/L is obtained for the microperoxidases MP-9 and MP-11. A highly active microperoxidase MP-6 was found in the reaction of cytochrome c from bovine heart with protease from streptomyces griseus.     

Identification of a Third Sulfate Activation System in Sinorhizobium sp. Strain BR816: the CysDN Sulfate Activation Complex

Sinorhizobium sp. strain BR816 possesses two nodPQ copies, providing activated sulfate (3′-phosphoadenosine-5′-phosphosulfate [PAPS]) needed for the biosynthesis of sulfated Nod factors. It was previously shown that the Nod factors synthesized by a nodPQ double mutant are not structurally different from those of the wild-type strain. In this study, we describe the characterization of a third sulfate activation locus. Two open reading frames were fully characterized and displayed the highest similarity with the Sinorhizobium meliloti housekeeping ATP sulfurylase subunits, encoded by the cysDN genes. The growth characteristics as well as the levels of Nod factor sulfation of a cysD mutant (FAJ1600) and a nodP1 nodQ2 cysD triple mutant (FAJ1604) were determined. FAJ1600 shows a prolonged lag phase only with inorganic sulfate as the sole sulfur source, compared to the wild-type parent. On the other hand, FAJ1604 requires cysteine for growth and produces sulfate-free Nod factors. Apigenin-induced nod gene expression for Nod factor synthesis does not influence the growth characteristics of any of the strains studied in the presence of different sulfur sources. In this way, it could be demonstrated that the “household” CysDN sulfate activation complex of Sinorhizobium sp. strain BR816 can additionally ensure Nod factor sulfation, whereas the symbiotic PAPS pool, generated by the nodPQ sulfate activation loci, can be engaged for sulfation of amino acids. Finally, our results show that rhizobial growth defects are likely the reason for a decreased nitrogen fixation capacity of bean plants inoculated with cysD mutant strains, which can be restored by adding methionine to the plant nutrient solution.     

A single amino acid residue in bank vole prion protein drives permissiveness to Nor98/atypical scrapie and the emergence of multiple strain variants

Prions are infectious agents that replicate through the autocatalytic misfolding of the cellular prion protein (PrP^C) into infectious aggregates (PrP^Sc) causing fatal neurodegenerative diseases in humans and animals. Prions exist as strains, which are encoded by conformational variants of PrP^Sc. The transmissibility of prions depends on the PrP^C sequence of the recipient host and on the incoming prion strain, so that some animal prion strains are more contagious than others or are transmissible to new species, including humans. Nor98/atypical scrapie (AS) is a prion disease of sheep and goats reported in several countries worldwide. At variance with classical scrapie (CS), AS is considered poorly contagious and is supposed to be spontaneous in origin. The zoonotic potential of AS, its strain variability and the relationships with the more contagious CS strains remain largely unknown. We characterized AS isolates from sheep and goats by transmission in ovinised transgenic mice (tg338) and in two genetic lines of bank voles, carrying either methionine (BvM) or isoleucine (BvI) at PrP residue 109. All AS isolates induced the same pathological phenotype in tg338 mice, thus proving that they encoded the same strain, irrespective of their geographical origin or source species. In bank voles, we found that the M109I polymorphism dictates the susceptibility to AS. BvI were susceptible and faithfully reproduced the AS strain, while the transmission in BvM was highly inefficient and was characterized by a conformational change towards a CS-like prion strain. Sub-passaging experiments revealed that the main strain component of AS is accompanied by minor CS-like strain components, which can be positively selected during replication in both AS-resistant or AS-susceptible animals. These findings add new clues for a better comprehension of strain selection dynamics in prion infections and have wider implications for understanding the origin of contagious prion strains, such as CS.     

Physician resource databank: numbers,distribution and activities of Canada's physicians

The physician resource databank, compiled and maintained by the Canadian Medical Association (CMA), contains functional information from 41 599 of Canada''s licensed physicians. The information was gathered from a 20-item questionnaire sent to 47 162 physicians. Of the total, 38 653 responses came from physicians who had completed their training and these were included in the analysis to produce a profile of the supply of physicians in Canada. The data from physicians younger than 35 years indicate some changes in the structure of the supply: 27% are women (compared with only about 9% of physicians older than 45 years).The implications of these statistics are not yet clear, but within the next decade the numbers in some specialties—surgery, anesthesia, obstetrics and gynecology, and radiology—may be too few to meet the demand as more than 20% of the current practitioners reach retirement age. Other findings are that [List: see text]     

Changes of olfactory sensitivity during the estrus cycle in female laboratory mice

In female Albino laboratory mice neural olfactory thresholdswere established by means of evoked potential measurements withpermanently implanted electrodes. The method allowed registrationof the bulbar activity up to 17 consecutive days; each day thesexual status of the animals was determined by the vaginal smears. There is a close correlation between olfactory sensitivity andestrus cycle: All individuals had their maximum olfactory acuityin proestrus; in metestrus the threshold values were up to 1million times higher. During diestrus and estrus the thresholdvalues were inbetween these extremas. This pattern was foundin the three test substances geraniol, butyric acid and butyricmethyl ester. In comparison to the olfactory thresholds in male mice, in theaverage the females had a slightly higher sensitivity in proestrus,whereas in metestrus all of them show a marked increase in theirthreshold values.     

Spatial mixture multiscale modeling for aggregated health data

One of the main goals in spatial epidemiology is to study the geographical pattern of disease risks. For such purpose, the convolution model composed of correlated and uncorrelated components is often used. However, one of the two components could be predominant in some regions. To investigate the predominance of the correlated or uncorrelated component for multiple scale data, we propose four different spatial mixture multiscale models by mixing spatially varying probability weights of correlated (CH) and uncorrelated heterogeneities (UH). The first model assumes that there is no linkage between the different scales and, hence, we consider independent mixture convolution models at each scale. The second model introduces linkage between finer and coarser scales via a shared uncorrelated component of the mixture convolution model. The third model is similar to the second model but the linkage between the scales is introduced through the correlated component. Finally, the fourth model accommodates for a scale effect by sharing both CH and UH simultaneously. We applied these models to real and simulated data, and found that the fourth model is the best model followed by the second model.     

Formation of bacterial streamers during filtration in microfluidic systems

Bacterial behavior during filtration is complex and is influenced by numerous factors. The aim of this paper is to report on experiments designed to make progress in the understanding of bacterial transfer in filters and membranes. Polydimethylsiloxane (PDMS) microsystems were built to allow direct dynamic observation of bacterial transfer across different microchannel geometries mimicking filtration processes. When filtering Escherichia coli suspensions in such devices, the bacteria accumulated in the downstream zone of the filter forming long streamers undulating in the flow. Confocal microscopy and 3D reconstruction of streamers showed how the streamers are connected to the filter and how they form in the stream. Streamer development was found to be influenced by the flow configuration and the presence of connections or tortuosity between channels. Experiments showed that streamer formation was greatest in a filtration system composed of staggered arrays of squares 10 μm apart.     

On realized serial and generation intervals given control measures: The COVID-19 pandemic case

The SARS-CoV-2 pathogen is currently spreading worldwide and its propensity for presymptomatic and asymptomatic transmission makes it difficult to control. The control measures adopted in several countries aim at isolating individuals once diagnosed, limiting their social interactions and consequently their transmission probability. These interventions, which have a strong impact on the disease dynamics, can affect the inference of the epidemiological quantities. We first present a theoretical explanation of the effect caused by non-pharmaceutical intervention measures on the mean serial and generation intervals. Then, in a simulation study, we vary the assumed efficacy of control measures and quantify the effect on the mean and variance of realized generation and serial intervals. The simulation results show that the realized serial and generation intervals both depend on control measures and their values contract according to the efficacy of the intervention strategies. Interestingly, the mean serial interval differs from the mean generation interval. The deviation between these two values depends on two factors. First, the number of undiagnosed infectious individuals. Second, the relationship between infectiousness, symptom onset and timing of isolation. Similarly, the standard deviations of realized serial and generation intervals do not coincide, with the former shorter than the latter on average. The findings of this study are directly relevant to estimates performed for the current COVID-19 pandemic. In particular, the effective reproduction number is often inferred using both daily incidence data and the generation interval. Failing to account for either contraction or mis-specification by using the serial interval could lead to biased estimates of the effective reproduction number. Consequently, this might affect the choices made by decision makers when deciding which control measures to apply based on the value of the quantity thereof.