Osteopontin,inflammation and myogenesis: influencing regeneration,fibrosis and size of skeletal muscle

Osteopontin is a multifunctional matricellular protein that is expressed by many cell types. Through cell-matrix and cell-cell interactions the molecule elicits a number of responses from a broad range of target cells via its interaction with integrins and the hyaluronan receptor CD44. In many tissues osteopontin has been found to be involved in important physiological and pathological processes, including tissue repair, inflammation and fibrosis. Post-natal skeletal muscle is a highly differentiated and specialised tissue that retains a remarkable capacity for regeneration following injury. Regeneration of skeletal muscle requires the co-ordinated activity of inflammatory cells that infiltrate injured muscle and are responsible for initiating muscle fibre degeneration and phagocytosis of necrotic tissue, and muscle precursor cells that regenerate the injured muscle fibres. This review focuses on the current evidence that osteopontin plays multiple roles in skeletal muscle, with particular emphasis on its role in regeneration and fibrosis following injury, and in determining the severity of myopathic diseases such as Duchenne muscular dystrophy.     

High-performance liquid chromatographic separation and measurement of various biogenic compounds possibly involved in the pathomechanism of Parkinson’s disease

The work presented here describes an optimised, reversed-phase high-performance liquid chromatographic (RP-HPLC) method for separating 46 biogenic compounds, which, as neurotoxins or as their precursors or derivatives, may be relevant in the pathomechanism of Parkinson’s disease. In some cases, the physico–chemical properties of these substances are very similar, in other cases they differ greatly. In order to facilitate their detection in one chromatographic run, ion-pair chromatography was uniquely combined with a gradient elution. A diode array or a dual wavelength detector was used in combination with a fluorescence detector to verify the identity of the compounds.     

Effects of intima stiffness and plaque morphology on peak cap stress

Background  

Rupture of the cap of a vulnerable plaque present in a coronary vessel may cause myocardial infarction and death. Cap rupture occurs when the peak cap stress exceeds the cap strength. The mechanical stress within a cap depends on the plaque morphology and the material characteristics of the plaque components. A parametric study was conducted to assess the effect of intima stiffness and plaque morphology on peak cap stress.     

Exon Inclusion Modulates Conformational Plasticity and Autoinhibition of the Intersectin 1 SH3A Domain

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Identification of a urine metabolite constellation characteristic for kidney allograft rejection

Introduction

Allograft rejection is still an important complication after kidney transplantation. Currently, monitoring of these patients mostly relies on the measurement of serum creatinine and clinical evaluation. The gold standard for diagnosing allograft rejection, i.e. performing a renal biopsy is invasive and expensive. So far no adequate biomarkers are available for routine use.

Objectives

We aimed to develop a urine metabolite constellation that is characteristic for acute renal allograft rejection.

Methods

NMR-Spectroscopy was applied to a training cohort of transplant recipients with and without acute rejection.

Results

We obtained a metabolite constellation of four metabolites that shows promising performance to detect renal allograft rejection in the cohorts used (AUC of 0.72 and 0.74, respectively).

Conclusion

A metabolite constellation was defined with the potential for further development of an in-vitro diagnostic test that can support physicians in their clinical assessment of a kidney transplant patient.

     

Quandaries and complexities of ecological risk assessment: Viable options to reduce humanistic arrogance

Ecological risk assessment has been used to support decisions regarding human‐generated actions which affect natural “resources”; and indigenous ecosystems. Often, the logical and scientific input serve as rationalization to legitimize the process. Though widely accepted as the realistic and sole paradigm, Ecological Risk Assessments do not address the complexities of the natural world, are humanistically arrogant, and disregard or do not consider alternatives which offer imagination and realistic attempts to reduce human impact to the land.

Ecological Alternatives Assessment practices would place the highest priority on: (a) continued temporal and spatial evolution of existing complex ecological relationships, (b) acknowledgment of the inherent rights of all species, and (c) examination of alternatives to reduce effects of anthropogenic actions. These steps, as discussed, are not impossible to accomplish and are necessary for favorable short‐term (50–500 years) anthropocentric alternatives and maintenance of long‐term (+1,000 years) biodiversity of species and ecosystems.     

Benchmarking novel approaches for modelling species range dynamics

Increasing biodiversity loss due to climate change is one of the most vital challenges of the 21st century. To anticipate and mitigate biodiversity loss, models are needed that reliably project species’ range dynamics and extinction risks. Recently, several new approaches to model range dynamics have been developed to supplement correlative species distribution models (SDMs), but applications clearly lag behind model development. Indeed, no comparative analysis has been performed to evaluate their performance. Here, we build on process‐based, simulated data for benchmarking five range (dynamic) models of varying complexity including classical SDMs, SDMs coupled with simple dispersal or more complex population dynamic models (SDM hybrids), and a hierarchical Bayesian process‐based dynamic range model (DRM). We specifically test the effects of demographic and community processes on model predictive performance. Under current climate, DRMs performed best, although only marginally. Under climate change, predictive performance varied considerably, with no clear winners. Yet, all range dynamic models improved predictions under climate change substantially compared to purely correlative SDMs, and the population dynamic models also predicted reasonable extinction risks for most scenarios. When benchmarking data were simulated with more complex demographic and community processes, simple SDM hybrids including only dispersal often proved most reliable. Finally, we found that structural decisions during model building can have great impact on model accuracy, but prior system knowledge on important processes can reduce these uncertainties considerably. Our results reassure the clear merit in using dynamic approaches for modelling species’ response to climate change but also emphasize several needs for further model and data improvement. We propose and discuss perspectives for improving range projections through combination of multiple models and for making these approaches operational for large numbers of species.     

Responses of nectar‐feeding birds to floral resources at multiple spatial scales

The responses of animal pollinators to the spatially heterogeneous distribution of floral resources are important for plant reproduction, especially in species‐rich plant communities. We explore how responses of pollinators to floral resources varied across multiple spatial scales and studied the responses of two nectarivorous bird species (Cape sugarbird Promerops cafer, orange‐breasted sunbird Anthobaphes violacea) to resource distributions provided by communities of co‐flowering Protea species (Proteaceae) in South African fynbos. We used highly resolved maps of about 125 000 Protea plants at 27 sites and estimated the seasonal dynamics of standing crop of nectar sugar for each plant to describe the spatiotemporal distribution of floral resources. We recorded avian population sizes and the rates of bird visits to > 1300 focal plants to assess the responses of nectarivorous birds to floral resources at different spatial scales. The population sizes of the two bird species responded positively to the amount of sugar resources at the site scale. Within sites, the effects of floral resources on pollinator visits to plants varied across scales and depended on the resources provided by individual plants. At large scales (radii > 25 m around focal plants), high sugar density decreased per‐plant visitation rates, i.e. plants competed for animal pollinators. At small scales (radii < 5 m around focal plants), we observed either competition or facilitation for pollinators between plants, depending on the sugar amount offered by individual focal plants. In plants with copious sugar, per‐plant visitation rates increased with increasing local sugar density, but visitation rates decreased in plants with little sugar. Our study underlines the importance of scale‐dependent responses of pollinators to floral resources and reveals that pollinators’ responses depend on the interplay between individual floral resources and local resource neighbourhood.     

Relationship Between Transformation in Bacillus subtilis and Infection by Bacteriophage SP02

When bacteriophage SP02 infects a Bacillus subtilis culture during or shortly after transformation, the frequency of transformants among the resulting lysogens is greatly reduced relative to that in the uninfected culture. The effect can occur after the deoxyribonucleic acid has been taken up and covalently attached to recipient deoxyribonucleic acid.