Steroid induced neuroprotection of damaged photoreceptor cells

Retinitis Pigmentosa (RP) is the name given to a group of hereditary diseases causing progressive and degenerative blindness. RP affects over 1 in 4000 individuals, making it the most prevalent inherited retinal disease worldwide, yet currently there is no cure. In 2011, our group released a paper detailing the protective effects of the synthetic progestin ‘Norgestrel’. A common component of the female oral contraceptive pill, Norgestrel was shown to protect against retinal cell death in two distinct mouse models of retinal degeneration: in the Balb/c light damage model and the Pde6brd10 (rd10) model. Little was known of the molecular workings of this compound however and thus this study aimed to elucidate the protective manner in which Norgestrel worked. To this aim, the 661W cone photoreceptor-like cell line and ex vivo retinal explanting was utilised. We found that Norgestrel induces a increase in neuroprotective basic fibroblast growth factor (bFGF) with subsequent downstream actions on the inhibition of glycogen synthase kinase 3β. Progesterone receptor expression was subsequently characterised in the C57 and rd10 retinas and in the 661W cell line. Norgestrel caused nuclear trafficking of progesterone receptor membrane complex one (PGRMC1) in 661W cells and thus Norgestrel was hypothesised to work primarily through the actions of PGRMC1. This trafficking was shown to be responsible for the critical upregulation of bFGF and PGRMC1- Norgestrel binding was proven to cause a neuroprotective bFGF-mediated increase in intracellular calcium. The protective properties of Norgestrel were further studied in the rd10 mouse model of retinitis pigmentosa. Using non-invasive diet supplementation (80mg/kg), we showed that Norgestrel gave significant retinal protection out to postnatal day 40 (P40). Overactive microglia have previously been shown to potentiate photoreceptor cell loss in the degenerating rd10 retina and thus we focussed on Norgestrel-mediated changes in photoreceptor-microglial crosstalk. Norgestrel acted to dampen pro-inflammatory microglial cell reactivity, decreasing chemokine (MCP1, MCP3, MIP-1α, MIP-1β) and subsequent damaging cytokine (TNFα, Il-1β) production. Critically, Norgestrel up-regulated photoreceptor-microglial, fractalkine-CX3CR1 signalling 1000-fold in the P20 rd10 mouse. Known to prevent microglial activation, we hypothesise that Norgestrel acts as a vital anti-inflammatory in the diseased retina, driving fractalkine-CX3CR1 signalling to delay retinal degeneration. This study stands to highlight some of the neuroprotective mechanisms utilised by Norgestrel in the prevention of photoreceptor cell death. We identify for the first time, not only a pro-survival pathway activated directly in photoreceptor cells, but also a Norgestreldriven mediation of an otherwise damaging microglial cell response. All taken, these results form the beginning of a case to bring Norgestrel to clinical trials, as a potential therapeutic for the treatment of RP.

The reliability mathematical model of load-sharing parallel systems based on fatigue cumulative damage

Conventional reliability models for parallel systems are not applicable for the analysis of parallel systems with load transfer and sharing. In this short communication, firstly, the dependent failures of parallel systems are analyzed, and the reliability model of load-sharing parallel system is presented based on Miner cumulative damage theory and the full probability formula. Secondly, the parallel system reliability is calculated by Monte Carlo simulation when the component life follows the Weibull distribution. The research result shows that the proposed reliability mathematical model could analyze and evaluate the reliability of parallel systems in the presence of load transfer.

Towards a model for exploring the relationship between managerial decision problems and decision support opportunities

The organisational decision making environment is complex, and decision makers must deal with uncertainty and ambiguity on a continuous basis. Managing and handling decision problems and implementing a solution, requires an understanding of the complexity of the decision domain to the point where the problem and its complexity, as well as the requirements for supporting decision makers, can be described. Research in the Decision Support Systems domain has been extensive over the last thirty years with an emphasis on the development of further technology and better applications on the one hand, and on the other hand, a social approach focusing on understanding what decision making is about and how developers and users should interact. This research project considers a combined approach that endeavours to understand the thinking behind managers’ decision making, as well as their informational and decisional guidance and decision support requirements. This research utilises a cognitive framework, developed in 1985 by Humphreys and Berkeley that juxtaposes the mental processes and ideas of decision problem definition and problem solution that are developed in tandem through cognitive refinement of the problem, based on the analysis and judgement of the decision maker. The framework facilitates the separation of what is essentially a continuous process, into five distinct levels of abstraction of manager’s thinking, and suggests a structure for the underlying cognitive activities. Alter (2004) argues that decision support provides a richer basis than decision support systems, in both practice and research. The constituent literature on decision support, especially in regard to modern high profile systems, including Business Intelligence and Business analytics, can give the impression that all ‘smart’ organisations utilise decision support and data analytics capabilities for all of their key decision making activities. However this empirical investigation indicates a very different reality.

The Hurst exponent as an indicator of the behaviour of a model monopile in an ocean wave testing basin

With the importance of renewable energy well-established worldwide, and targets of such energy quantified in many cases, there exists a considerable interest in the assessment of wind and wave devices. While the individual components of these devices are often relatively well understood and the aspects of energy generation well researched, there seems to be a gap in the understanding of these devices as a whole and especially in the field of their dynamic responses under operational conditions. The mathematical modelling and estimation of their dynamic responses are more evolved but research directed towards testing of these devices still requires significant attention. Model-free indicators of the dynamic responses of these devices are important since it reflects the as-deployed behaviour of the devices when the exposure conditions are scaled reasonably correctly, along with the structural dimensions. This paper demonstrates how the Hurst exponent of the dynamic responses of a monopile exposed to different exposure conditions in an ocean wave basin can be used as a model-free indicator of various responses. The scaled model is exposed to Froude scaled waves and tested under different exposure conditions. The analysis and interpretation is carried out in a model-free and output-only environment, with only some preliminary ideas regarding the input of the system. The analysis indicates how the Hurst exponent can be an interesting descriptor to compare and contrast various scenarios of dynamic response conditions.