Biosynthesis and metabolism of 15-hydroperoxy-5,8,11,13-eicosatetraenoic acid by human umbilical vein endothelial cells

Incubation of cultured human umbilical vein endothelial cells with [1-14C]arachidonic acid, followed by reverse-phase high-pressure liquid chromatography analysis, results in the appearance of two principal radioactive products besides 6-keto-prostaglandin F1 alpha. The first peak is 12-L-hydroxy-5,8,10-heptadecatrienoic acid, a hydrolysis product of the prostaglandin endoperoxide. The second peak was esterified, converted to the trimethylsilyl ether derivative, and analyzed by gas chromatography-mass spectrometry and shown to be the lipoxygenase product 15(S)-hydroxy-5,8,11,13-eicosatetraenoic acid (15-HETE). Incubation of the 15-HETE precursor 15(S)-hydroperoxy-5,8,11,13-eicosatetraenoic acid (15-HPETE) with endothelial cells results in the formation of four distinct UV absorbing peaks. UV and gas chromatography-mass spectrometry analysis showed these peaks to be 8,15(S)-dihydroxy-5,8,11,13-eicosatetraenoic acids (8,15-diHETE) differing only in their hydroxyl configuration and cis trans double-bond geometry. Formation of 8,15-diHETE molecules suggests the prior formation of the unstable epoxide molecule 14(S),15(S)-trans-oxido-5,8-Z-14,15-leukotriene A4 or an attack at C-10 of 15-HPETE by an enzyme with mechanistic features in common with a 12-lipoxygenase. The observation that endothelial cells can synthesize both 15-HETE and 8,15-diHETE molecules suggests that this cell type contains both a 15-lipoxygenase and a system that can synthesize 14,15-leukotriene A4.     

Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)

Background

Illness perceptions are beliefs about the cause, nature and management of illness, which enable patients to make sense of their conditions. These perceptions can predict adjustment and quality of life in patients with single conditions. However, multimorbidity (i.e. patients with multiple long-term conditions) is increasingly prevalent and a key challenge for future health care delivery. The objective of this research was to develop a valid and reliable measure of illness perceptions for multimorbid patients.

Methods

Candidate items were derived from previous qualitative research with multimorbid patients. Questionnaires were posted to 1500 patients with two or more exemplar long-term conditions (depression, diabetes, osteoarthritis, coronary heart disease and chronic obstructive pulmonary disease). Data were analysed using factor analysis and Rasch analysis. Rasch analysis is a modern psychometric technique for deriving unidimensional and intervally-scaled questionnaires.

Results

Questionnaires from 490 eligible patients (32.6% response) were returned. Exploratory factor analysis revealed five potential subscales ‘Emotional representations’, ‘Treatment burden’, ‘Prioritising conditions’, ‘Causal links’ and ‘Activity limitations’. Rasch analysis led to further item reduction and the generation of a summary scale comprising of items from all scales. All scales were unidimensional and free from differential item functioning or local independence of items. All scales were reliable, but for each subscale there were a number of patients who scored at the floor of the scale.

Conclusions

The MULTIPleS measure consists of five individual subscales and a 22-item summary scale that measures the perceived impact of multimorbidity. All scales showed good fit to the Rasch model and preliminary evidence of reliability and validity. A number of patients scored at floor of each subscale, which may reflect variation in the perception of multimorbidity. The MULTIPleS measure will facilitate research into the impact of illness perceptions on adjustment, clinical outcomes, quality of life, and costs in patients with multimorbidity.     

Sustained fitness gains and variability in fitness trajectories in the long-term evolution experiment with Escherichia coli

Many populations live in environments subject to frequent biotic and abiotic changes. Nonetheless, it is interesting to ask whether an evolving population''s mean fitness can increase indefinitely, and potentially without any limit, even in a constant environment. A recent study showed that fitness trajectories of Escherichia coli populations over 50 000 generations were better described by a power-law model than by a hyperbolic model. According to the power-law model, the rate of fitness gain declines over time but fitness has no upper limit, whereas the hyperbolic model implies a hard limit. Here, we examine whether the previously estimated power-law model predicts the fitness trajectory for an additional 10 000 generations. To that end, we conducted more than 1100 new competitive fitness assays. Consistent with the previous study, the power-law model fits the new data better than the hyperbolic model. We also analysed the variability in fitness among populations, finding subtle, but significant, heterogeneity in mean fitness. Some, but not all, of this variation reflects differences in mutation rate that evolved over time. Taken together, our results imply that both adaptation and divergence can continue indefinitely—or at least for a long time—even in a constant environment.     

Development of a new quantitative gas permeability method for dental implant-abutment connection tightness assessment

Background  

Most dental implant systems are presently made of two pieces: the implant itself and the abutment. The connection tightness between those two pieces is a key point to prevent bacterial proliferation, tissue inflammation and bone loss. The leak has been previously estimated by microbial, color tracer and endotoxin percolation.     

<Emphasis Type="Italic">Caenorhabditis elegans</Emphasis>: a model to monitor bacterial air quality

Background

Low environmental air quality is a significant cause of mortality and morbidity and this question is now emerging as a main concern of governmental authorities. Airborne pollution results from the combination of chemicals, fine particles, and micro-organisms quantitatively or qualitatively dangerous for health or for the environment. Increasing regulations and limitations for outdoor air quality have been decreed in regards to chemicals and particles contrary to micro-organisms. Indeed, pertinent and reliable tests to evaluate this biohazard are scarce. In this work, our purpose was to evaluate the Caenorhaditis elegans killing test, a model considered as an equivalent to the mouse acute toxicity test in pharmaceutical industry, in order to monitor air bacterial quality.

Findings

The present study investigates the bacterial population in dust clouds generated during crop ship loading in harbor installations (Rouen harbor, Normandy, France). With a biocollector, airborne bacteria were impacted onto the surface of agar medium. After incubation, a replicate of the colonies on a fresh agar medium was done using a velvet. All the replicated colonies were pooled creating the "Total Air Sample". Meanwhile, all the colonies on the original plate were isolated. Among which, five representative bacterial strains were chosen. The virulence of these representatives was compared to that of the "Total Air Sample" using the Caenorhaditis elegans killing test. The survival kinetic of nematodes fed with the "Total Air Sample" is consistent with the kinetics obtained using the five different representatives strains.

Conclusions

Bacterial air quality can now be monitored in a one shot test using the Caenorhaditis elegans killing test.

     

Tissue disruption and extraction methods for metabolic profiling of an invertebrate sentinel species

Metabolic profiling of tissues needs special attention, because the compartmentalization of cellular constituents will be abolished by sample homogenization. This loss of partitioning leads to protein and metabolite instability in extracts, and therefore metabolite extraction protocols need to ensure very rapid inactivation of macromolecules as well as solubilization of metabolites. There are many published methods for tissue metabolome analysis, but no universally accepted standard, and a lack of measurable quality benchmarks. We developed a protocol for efficient tissue disruption and metabolite extraction of the earthworm Lumbricus rubellus guided by prior biological knowledge as well as metrics based on the data. In particular, we identified an unusual degree of instability of L. rubellus tissue extracts, and evaluated different approaches such as heating and filtration to counteract this. Finally, we evaluated four different solvent systems for comprehensive metabolite extraction using three analytical platforms (¹H NMR spectroscopy, GC?CMS, and direct-infusion FT-ICR-MS), and also compared bead-beating and cryogenic milling for tissue disruption. Initially we ranked methods by common analytical criteria (e.g. numbers and total intensity of detected peaks) in order to compare protocols. These approaches to assess protocol suitability proved to be inadequate to judge earthworm tissue extraction methods because of sample instability. Existing tissue extraction protocols should not be assumed to be automatically applicable to novel species.     

Streamlined extract preparation for Escherichia coli-based cell-free protein synthesis by sonication or bead vortex mixing

Escherichia coli-based cell extract is a vital component of inexpensive and high-yielding cell-free protein synthesis reactions. However, effective preparation of E. coli cell extract is limited to high-pressure (French press-style or impinge-style) or bead mill homogenizers, which all require a significant capital investment. Here we report the viability of E. coli cell extract prepared using equipment that is both common to biotechnology laboratories and able to process small volume samples. Specifically, we assessed the low-capital-cost lysis techniques of: (i) sonication, (ii) bead vortex mixing, (iii) freeze-thaw cycling, and (iv) lysozyme incubation to prepare E. coli cell extract for cell-free protein synthesis (CFPS). We also used simple shake flask fermentations with a commercially available E. coli strain. In addition, RNA polymerase was overexpressed in the E. coli cells prior to lysis, thus eliminating the need to add independently purified RNA polymerase to the CFPS reaction. As a result, high-yielding E. coli-based extract was prepared using equipment requiring a reduced capital investment and common to biotechnology laboratories. To our knowledge, this is the first successful prokaryote-based CFPS reaction to be carried out with extract prepared by sonication or bead vortex mixing.