Upper airway muscle paralysis reduces reflex upper airway motor response to negative transmural pressure in rat.

The reflex upper airway (UA) motor response to UA negative pressure (UANP) is attenuated by neuromuscular blockade. We hypothesized that this is due to a reduction in the sensitivity of laryngeal mechanoreceptors to changes in UA pressure. We examined the effect of neuromuscular blockade on hypoglossal motor responses to UANP and to asphyxia in 15 anesthetized, thoracotomized, artificially ventilated rats. The activity of laryngeal mechanoreceptors is influenced by contractions of laryngeal and tongue muscles, so we studied the effect of selective denervation of these muscle groups on the UA motor response to UANP and to asphyxia, recording from the pharyngeal branch of the glossopharyngeal nerve (n = 11). We also examined the effect of tongue and laryngeal muscle denervation on superior laryngeal nerve (SLN) afferent activity at different airway transmural pressures (n = 6). Neuromuscular blockade and denervation of laryngeal and tongue muscles significantly reduced baseline UA motor nerve activity (P < 0.05), caused a small but significant attenuation of the motor response to asphyxia, and markedly attenuated the response to UANP. Motor denervation of tongue and laryngeal muscles significantly decreased SLN afferent activity and altered the response to UANP. We conclude that skeletal muscle relaxation reduces the reflex UA motor response to UANP, and this may be due to a reduction in the excitability of UA motor systems as well as a decrease of the response of SLN afferents to UANP.     

The evolution of cyclodextrin glucanotransferase product specificity

Cyclodextrin glucanotransferases (CGTases) have attracted major interest from industry due to their unique capacity of forming large quantities of cyclic α-(1,4)-linked oligosaccharides (cyclodextrins) from starch. CGTases produce a mixture of cyclodextrins from starch consisting of 6 (α), 7 (β) and 8 (γ) glucose units. In an effort to identify the structural factors contributing to the evolutionary diversification of product specificity amongst this group of enzymes, we selected nine CGTases from both mesophilic, thermophilic and hyperthermophilic organisms for comparative product analysis. These enzymes displayed considerable variation regarding thermostability, initial rates, percentage of substrate conversion and ratio of α-, β- and γ-cyclodextrins formed from starch. Sequence comparison of these CGTases revealed that specific incorporation and/or substitution of amino acids at the substrate binding sites, during the evolutionary progression of these enzymes, resulted in diversification of cyclodextrin product specificity. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users. Hans Leemhuis acknowledges financial support from the Netherlands Organization for Scientific Research (NWO).     

Starch and α-glucan acting enzymes, modulating their properties by directed evolution

Starch is the major food reserve in plants and forms a large part of the daily calorie intake in the human diet. Industrially, starch has become a major raw material in the production of various products including bio-ethanol, coating and anti-staling agents. The complexity and diversity of these starch based industries and the demand for high quality end products through extensive starch processing, can only be met through the use of a broad range of starch and α-glucan modifying enzymes. The economic importance of these enzymes is such that the starch industry has grown to be the largest market for enzymes after the detergent industry. However, as the starch based industries expand and develop the demand for more efficient enzymes leading to lower production cost and higher quality products increases. This in turn stimulates interest in modifying the properties of existing starch and α-glucan acting enzymes through a variety of molecular evolution strategies. Within this review we examine and discuss the directed evolution strategies applied in the modulation of specific properties of starch and α-glucan acting enzymes and highlight the recent developments in the field of directed evolution techniques which are likely to be implemented in the future engineering of these enzymes.     

Pathogenic Vibrio harveyi,in contrast to non‐pathogenic strains,intervenes with the p38 MAPK pathway to avoid an abalone haemocyte immune response

Vibrio harveyi is a marine bacterial pathogen responsible for episodic abalone epidemics associated with massive mortalities in France, Japan, and Australia. The aim of this study was the understanding of a possible role of the p38 MAPK in abalone haemocyte responses towards this bacterium. First, the pathogenicity of different V. harveyi strains was compared in both immersion and injection trials, and clear differences were detected. The three strains, ORM4, 04/092, and 05/053, all isolated from moribund abalone, induced up to 80% mortalities in immersion or injection challenges (LD₅₀ (ORM4) = 2.5 × 10² CFU animal^?1). The two strains, LMG 4044T and LMG 7890 were non‐pathogenic towards abalone in immersion trials, and needed very high numbers for killing by intramuscular injections (LD₅₀ = 8.9 × 10⁴ and 1.6 × 10⁵ CFU animal^?1, respectively). To start unraveling the mechanism explaining these differences, the p38‐MAPK, a keyplayer in antimicrobial immune response, was studied. The non‐pathogenic strain, LMG 7890 can be eliminated by abalone haemocytes and induces haemocyte phagocytosis and high ROS production. With different concentrations of a p38‐specific inhibitor, SB203580, p38 implication was shown. This inhibitor reduced phagocytosis and ROS induction leading to LMG 7890 proliferation. In the case of the pathogenic ORM4 which can not be eliminated by abalone haemocytes, no phagocytosis and ROS production was induced, and a retarded p38 activation was observed. Taken together, our results suggest that p38 MAPK modulation may be one of the ways of virulent V. harveyi to attack its host and escape abalone immune response. J. Cell. Biochem. 106: 152–160, 2009. © 2008 Wiley‐Liss, Inc.     

Down-regulation of neprilysin (EC3.4.24.11) expression in vascular endothelial cells by laminar shear stress involves NADPH oxidase-dependent ROS production

Neprilysin (NEP, neutral endopeptidase, EC3.4.24.11), a zinc metallopeptidase expressed on the surface of endothelial cells, influences vascular homeostasis primarily through regulated inactivation of natriuretic peptides and bradykinin. Earlier in vivo studies reporting on the anti-atherosclerotic effects of NEP inhibition and on the atheroprotective effects of flow-associated laminar shear stress (LSS) have lead us to hypothesize that the latter hemodynamic stimulus may serve to down-regulate NEP levels within the vascular endothelium. To address this hypothesis, we have undertaken an investigation of the effects of LSS on NEP expression in vitro in bovine aortic endothelial cells (BAECs), coupled with an examination of the signalling mechanism putatively mediating these effects. BAECs were exposed to physiological levels of LSS (10 dynes/cm², 24 h) and harvested for analysis of NEP expression using real-time PCR, Western blotting, and immunocytochemistry. Relative to unsheared controls, NEP mRNA and protein were substantially down-regulated by LSS (≥50%), events which could be prevented by treatment of BAECs with either N-acetylcysteine, superoxide dismutase, or catalase, implicating reactive oxygen species (ROS) involvement. Employing pharmacological and molecular inhibition strategies, the signal transduction pathway mediating shear-dependent NEP suppression was also examined, and roles implicated for Gβγ, Rac1, and NADPH oxidase activation in these events. Treatment of static BAECs with angiotensin-II, a potent stimulus for NADPH oxidase activation, mimicked the suppressive effects of shear on NEP expression, further supporting a role for NADPH oxidase-dependent ROS production. Interestingly, inhibition of receptor tyrosine kinase signalling had no effect. In conclusion, we confirm for the first time that NEP expression is down-regulated in vascular endothelial cells by physiological laminar shear, possibly via a mechanotransduction mechanism involving NADPH oxidase-induced ROS production.     

Human rheumatoid arthritis tissue production of IL-17A drives matrix and cartilage degradation: synergy with tumour necrosis factor-α, Oncostatin M and response to biologic therapies

Introduction  

The aim of this study was to examine IL-17A in patients, following anti-TNF-α therapy and the effect of IL-17A on matrix turnover and cartilage degradation.     

Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts

To reduce the increasing amount of time spent on literature search in the life sciences, several methods for automated knowledge extraction have been developed. Co-occurrence based approaches can deal with large text corpora like MEDLINE in an acceptable time but are not able to extract any specific type of semantic relation. Semantic relation extraction methods based on syntax trees, on the other hand, are computationally expensive and the interpretation of the generated trees is difficult. Several natural language processing (NLP) approaches for the biomedical domain exist focusing specifically on the detection of a limited set of relation types. For systems biology, generic approaches for the detection of a multitude of relation types which in addition are able to process large text corpora are needed but the number of systems meeting both requirements is very limited. We introduce the use of SENNA (“Semantic Extraction using a Neural Network Architecture”), a fast and accurate neural network based Semantic Role Labeling (SRL) program, for the large scale extraction of semantic relations from the biomedical literature. A comparison of processing times of SENNA and other SRL systems or syntactical parsers used in the biomedical domain revealed that SENNA is the fastest Proposition Bank (PropBank) conforming SRL program currently available. 89 million biomedical sentences were tagged with SENNA on a 100 node cluster within three days. The accuracy of the presented relation extraction approach was evaluated on two test sets of annotated sentences resulting in precision/recall values of 0.71/0.43. We show that the accuracy as well as processing speed of the proposed semantic relation extraction approach is sufficient for its large scale application on biomedical text. The proposed approach is highly generalizable regarding the supported relation types and appears to be especially suited for general-purpose, broad-scale text mining systems. The presented approach bridges the gap between fast, cooccurrence-based approaches lacking semantic relations and highly specialized and computationally demanding NLP approaches.