Use of liposomes as membrane models to evaluate the contribution of drug-membrane interactions to antioxidant properties of etodolac

This work stresses the need to combine antioxidant assays and drug-membrane interaction studies to describe more accurately the antioxidant profile of non-steroidal anti-inflammatory drugs (NSAIDs). Different experiments performed in liposomes and aqueous solution were compared and used to evaluate the protective effect of etodolac in lipid peroxidation. Lipid peroxidation was induced by the peroxyl radical (ROO*) derived from 2,2'-azobis(2-amidinopropane) dihydrochloride (AAPH) and hydroxyl radical (HO*) generated by the Fenton reaction and was assessed by the fluorescence intensity decay of three fluorescence probes with distinct lipophilic properties--fluorescein; hexadecanoyl aminofluorescein (HDAF) and diphenylhexatriene propionic acid (DPHPA). Membrane fluidity changes due to lipid peroxidation were also evaluated by steady-state anisotropy measurements. Interactions of etodolac with lipid bilayers were evaluated by membrane zeta-potential measurements. Results indicate a drug location near the membrane surface and show that etodolac can scavenge the radicals studied but to a variable extent, depending on the assayed media and reactive species. The use of different probes and liposomes as membrane mimetic systems allowed us to conclude that membrane lipoperoxidation is not only related to the scavenging characteristics of the antioxidants, but also to their ability to interact with lipid bilayers.     

Global warming tugs at trophic interactions

Climate change impacts are becoming increasingly evident as 1 °C warming above pre-industrial temperatures is approached. One of the signature biological effects is a shift towards earlier-timed reproduction. If individual species lack sufficient adaptive plasticity to alter phenology, they will have reduced fitness in a hotter world. Yet, a long-term study of an oak–caterpillar–songbird–sparrowhawk food web reveals that what could matter as much is if trophic interactions are disrupted. Multiple selective pressures may be triggered by climate change, leading to a tug-of-war between the need to stay in synchrony with the timing of maximum food, and the benefits of minimizing predation.     

Disturbance-mediated trophic interactions and plant performance

Disturbances, such as flooding, play important roles in determining community structure. Most studies of disturbances focus on the direct effects and, hence, the indirect effects of disturbances are poorly understood. Within terrestrial riparian areas, annual flooding leads to differences in the arthropod community as compared to non-flooded areas. In turn, these differences are likely to alter the survival, growth, and reproduction of plant species via an indirect effect of flooding (i.e., changes in herbivory patterns). To test for such effects, an experiment was conducted wherein arthropod predators and herbivores were excluded from plots in flooded and non-flooded areas and the impact on a common riparian plant, Mimulus guttatus was examined. In general, the direct effect of flooding on M. guttatus was positive. The indirect effects, however, significantly decreased plant survival for both years of the experiment, regardless of predator presence, because of an increased exposure to grasshoppers, the most abundant herbivore in the non-flooded sites. Leafhoppers, which were more abundant in the flooded sites, had much weaker and varying effects. During 2000, when the leafhopper herbivory was high, arthropod predators did not significantly reduce damage to plants. In 2001, the mean herbivory damage was lower and predators were able to significantly reduce overall leafhopper damage. The effects of predators on leafhoppers, however, did not increase plant survival, final weight, or the reproduction potential and, thus, did not initiate a species-level trophic cascade. Overall, it was the differences in the herbivore community that led to a significant decrease in plant survival. While flooding certainly alters riparian plant survival through direct abiotic effects, it also indirectly affects riparian plants by changing the arthropod community, in particular herbivores, and hence trophic interactions.     

Knowledge-based models for predicting species occurrence in arable conditions

This paper explores the potential of rule-based habitat models to predict the occurrence of some common species in arable conditions. Models were developed for 10 arable plant species, 7 Hemiptera species, 8 carabid species and for 5 bird species whose ecology was sufficiently known. Rule sets linking species occurrence to environmental variables were produced using available literature and expert knowledge about ecological requirements of the selected species. Environmental variables described the nature and condition of habitats at various scales, ranging from vegetation quadrat to the landscape in a 1 km radius of species sampling sites. The performance of the 34 models developed was assessed in two areas of England. Results show the rule-based habitat models developed for arable plants and birds were not very successful with Cohen's k values often <0.4 for plants and very close to 0 for all bird species. Conversely, rule-based models performed surprisingly well for carabids and Hemiptera with k values on average >0.4. This suggests that ecological knowledge on these invertebrate species is more complete than we expected. The effect of species prevalence on model performance and the potential application of knowledge-based habitat models in the context of biodiversity assessment are discussed.     

Marine reserves demonstrate trophic interactions across habitats

Several infaunal bivalve taxa show patterns of decreased biomass in areas with higher densities of adjacent reef-associated predators (the snapper, Pagrus auratus and rock lobster, Jasus edwardsii). A caging experiment was used to test the hypothesis that patterns observed were caused by predation, using plots seeded with a known initial density of the bivalve Dosinia subrosea to estimate survivorship. The caging experiment was replicated at several sites inside and outside two highly protected marine reserves: predators are significantly more abundant inside these reserves. Survivorship in fully caged, partially caged and open plots were then compared at sites having either low (non reserve) or high (reserve) predator density. The highest rates of survivorship of the bivalve were found in caged plots inside reserves and in all treatments outside reserves. However, inside reserves, open and partially caged treatments exhibited low survivorship. It was possible to specifically attribute much of this mortality to predation by large rock lobsters, due to distinctive marks on the valves of dead D. subrosea. This suggests that predation by large rock lobster could indeed account for the distributional patterns previously documented for certain bivalve populations. Our results illustrate that protection afforded by marine reserves is necessary to investigate how depletion through fishing pressure can change the role of upper-level predators and trophic processes between habitats. Electronic Supplementary Material Supplementary material is available for this article at An erratum to this article can be found at     

Fluorescence polarization as an analytical tool to evaluate galectin-ligand interactions

Galectins are a family of beta-galactose binding lectins associated with functions such as immunological and malignant events. To study the binding affinity of galectins for natural and artificial saccharides and glycoconjugates we have developed an assay using fluorescence polarization. A collection of fluorescein-conjugated saccharides was synthesized and used as probes with galectins-1 and -3 and the two carbohydrate recognition domains of galectin-4. Direct binding of a fixed probe amount with different amounts of each galectin defined specificity and selectivity and permitted selection of the optimal probe for inhibition studies. Then fixed amounts of galectin and selected probe were used to screen the inhibitory potency of a library of nonfluorescent compounds. As the assay is in solution and does not require separation of free and bound probe, it is simple and rapid and can easily be applied to different unlabeled galectins. As all interaction components are known, K(d) values for galectin-inhibitor interaction can be directly calculated without approximation other than the assumption of a simple one-site competition.     

An index to measure the effects of temperature change on trophic interactions

Experimental studies document the fact that environmental temperature changes can affect the timing of interactions in many consumer-resource systems through altered, or shifted, phenologies of the species involved. We develop a simple mathematical model that shows one method to measure, quantitatively, the magnitude of the shift. Under different temperature regimes we compute the intersection of two regions in a joint phenology space: the region where temporal interactions can occur and the region where particular-sized predators consume particular-sized prey. The area of the intersection provides a numerical value for measuring the effective interaction. A comparison of the areas for different temperature histories defines an index, or yardstick, for quantitatively assessing the effects of temperature variations on phenological shifts.     

Analysing stratified medicine business models and value systems: innovation-regulation interactions

Stratified medicine offers both opportunities and challenges to the conventional business models that drive pharmaceutical R&D. Given the increasingly unsustainable blockbuster model of drug development, due in part to maturing product pipelines, alongside increasing demands from regulators, healthcare providers and patients for higher standards of safety, efficacy and cost-effectiveness of new therapies, stratified medicine promises a range of benefits to pharmaceutical and diagnostic firms as well as healthcare providers and patients. However, the transition from 'blockbusters' to what might now be termed 'niche-busters' will require the adoption of new, innovative business models, the identification of different and perhaps novel types of value along the R&D pathway, and a smarter approach to regulation to facilitate innovation in this area. In this paper we apply the Innogen Centre's interdisciplinary ALSIS methodology, which we have developed for the analysis of life science innovation systems in contexts where the value creation process is lengthy, expensive and highly uncertain, to this emerging field of stratified medicine. In doing so, we consider the complex collaboration, timing, coordination and regulatory interactions that shape business models, value chains and value systems relevant to stratified medicine. More specifically, we explore in some depth two convergence models for co-development of a therapy and diagnostic before market authorisation, highlighting the regulatory requirements and policy initiatives within the broader value system environment that have a key role in determining the probable success and sustainability of these models.     

Food web complexity affects stoichiometric and trophic interactions

The stoichiometry of trophic interactions has mainly been studied in simple consumer–prey systems, whereas natural systems often harbour complex food webs with abundant indirect effects. We manipulated the complexity of trophic interactions by using simple laboratory food webs and complex field food webs in enclosures in Lake Erken. In the simple food web, one producer assemblage (periphyton) and its consumers (benthic snails) were amended by perch, which was externally fed by fish food. In the complex food web, two producer assemblages (periphyton and phytoplankton), their consumers (benthic invertebrates and zooplankton) and perch feeding on zooplankton were included. In the simple food web perch affected the stoichiometry of periphyton and increased periphyton biomass and the concentration of dissolved inorganic nitrogen. Grazers reduced periphyton biomass but increased its nutrient content. In the complex food web, in contrast to the simple food web, perch affected periphyton biomass negatively but increased phytoplankton abundance. Perch had no influence on benthic invertebrate density, zooplankton biomass or periphyton stoichiometry. Benthic grazers reduced periphyton biomass and nutrient content. The difference between the simple and the complex food web was presumably due to the increase of pelagic cyanobacteria ( Gloeotrichia sp.) with fish presence in the complex food web, thus fish had indirect negative effects on periphyton biomass through nutrient competition and shading by cyanobacteria. We conclude that the higher food web complexity through the presence of pelagic primary producers (in this case Gloeotrichia sp.) influences the direction and strength of trophic and stoichiometric interactions.     

Evolutionary responses to environmental change: trophic interactions affect adaptation and persistence

According to recent reviews, the question of how trophic interactions may affect evolutionary responses to climate change remains unanswered. In this modelling study, we explore the evolutionary dynamics of thermal and plant–herbivore interaction traits in a warming environment. We find the herbivore usually reduces adaptation speed and persistence time of the plant by reducing biomass. However, if the plant interaction trait and thermal trait are correlated, herbivores can create different coevolutionary attractors. One attractor has a warmer plant thermal optimum, and the other a colder one compared with the environment. A warmer plant thermal strategy is given a head start under warming, the only case where herbivores can increase plant persistence under warming. Persistence time of the plant under warming is maximal at small or large thermal niche width. This study shows that considering trophic interactions is necessary and feasible for understanding how ecosystems respond to climate change.     

Microbial interactions: from networks to models

Metagenomics and 16S pyrosequencing have enabled the study of ecosystem structure and dynamics to great depth and accuracy. Co-occurrence and correlation patterns found in these data sets are increasingly used for the prediction of species interactions in environments ranging from the oceans to the human microbiome. In addition, parallelized co-culture assays and combinatorial labelling experiments allow high-throughput discovery of cooperative and competitive relationships between species. In this Review, we describe how these techniques are opening the way towards global ecosystem network prediction and the development of ecosystem-wide dynamic models.     

Biological control: implications of the analogy between the trophic interactions of insect pest-parasitoid and snail-trematode systems

An analogy between the tropic interactions of insect pest-hymenopterous parasitoid and snail-larval trematode systems is proposed. The goal of most agricultural pest management programs is increase in production of a plant crop, the deleterious agent is an herbivorous insect pest, the controlling agent, a parasitoid. Other parasitoid species may or may not have a significant effect on the control of the host by the key mortality factor.In snail—schistosome systems the goal is reduction of worm burdens in human populations, removed in space and time from the snail-sporocyst interaction; the deleterious agent is the schistosome, trophically equivalent to the hymenopterous parasitoid. Therefore, control may be achieved through competitive displacement of the schistosomes by other larval trematodes having superior intrinsic competitive abilities and better searching efficiencies at low host densities.Hyperparasites, sciomyzid Diptera and Daubaylia may also play a role in this view of schistosomiasis control. The Hassell-Varley parasite quest theory is applied to larval trematodes. The inversely proportional relationship between the area of discovery and miracidial density when logarithmically transformed is further evidence for the dynamic similarity of snail-trematode and insect-parasitoid systems.Other applications of the generally accepted principles of insect pest biological control to a medically important trematode indicate that (1) schistosome population control, not eradication, is the appropriate goal of public health programs, (2) the criteria for implementation and success of such programs must be in terms of the relationship between medical injury and the frequency distribution of worms in humans, and (3) a good biological control agent is likely to have a high searching efficiency at low host densities, kill more than one snail host, be highly host specific, be scarce when successful, reside in regions were schistosomiasis is negligible as a medical problem.     

Minimal systems to study membrane-cytoskeleton interactions

In the context of minimal systems design, there are two areas in which the reductionist approach has been particularly successful: studies of molecular motors on cytoskeletal filaments, and of protein-lipid interactions in model membranes. However, a minimal cortex, that is, the interface between membrane and cytoskeleton, has just begun to be functionally reconstituted. A key property of living cells is their ability to change their shape in response to extracellular and intracellular stimuli. Although studied in live cells since decades, the mutual dependence between cytoskeleton and membrane dynamics in these large-scale transformations is still poorly understood. Here we report on inspiring recent in vitro work in this direction, and the promises it holds for a better understanding of key cellular processes.     

Development of trophic interactions in the vertebrate peripheral nervous system

During embryogenesis, the neurons of vertebrate sympathetic and sensory ganglia become dependent on neurotrophic factors, derived from their targets, for survival and maintenance of differentiated functions. Many of these interactions are mediated by the neurotrophins NGF, BDNF, and NT3 and the receptor tyrosine kinases encoded by genes of thetrk family. Both sympathetic and sensory neurons undergo developmental changes in their responsiveness to NGF, the first neurotrophin to be identified and characterized. Subpopulations of sensory neurons do not require NGF for survival, but respond instead to BDNF or NT3 with enhanced survival. In addition to their classic effects on neuron survival, neurotrophins influence the differentiation and proliferation of neural crest-derived neuronal precursors. In both sympathetic and sensory systems, production of neurotrophins by target cells and expression of neurotrophin receptors by neurons are correlated temporally and spatially with innervation patterns. In vitro, embryonic sympathetic neurons require exposure to environmental cues, such as basic FGF and retinoic acid to acquire neurotrophin-responsiveness; in contrast, embryonic sensory neurons acquire neurotrophin-responsiveness on schedule in the absence of these molecules.     

Statistical thermodynamics of oligomer-polymer interactions

A new method for formulating partition functions for a system of particles interacting on a one-dimensional lattice has recently been developed.^3,4 In this paper the method is applied to oligomer–polymer systems. The details of the connection between this method and the matrix formulation are first established. The method is then used to find expressions for the partition function of an oligomer–polymer system when the oligomers have a distribution of lengths and an alternating sequence.     

Methane-derived carbon flows through methane-oxidizing bacteria to higher trophic levels in aquatic systems

Recent investigations have shown that biogenic methane can be a carbon source for macro invertebrates in freshwater food webs. Stable carbon isotopic signatures, used to infer an organism's food source, indicated that methane can play a major role in the nutrition of chironomid larvae. However, the pathway of methane-derived carbon into invertebrate biomass is still not confirmed. It has been proposed that chironomid larvae ingest methane-oxidizing bacteria (MOB), but this has not been experimentally demonstrated to date. Using ¹³C-labelled methane we could show for the first time that chironomid larvae assimilate methane-derived carbon through MOB. Chironomid larval biomass was significantly ¹³C-enriched after dwelling for 10 days in lake sediment enriched with labelled methane. Moreover, phospholipid fatty acids diagnostic for MOB were detected in larval tissue and were significantly ¹³C-enriched, which encompasses the ¹³C-uptake predicted for a methane-based nutrition. Additionally, chironomid larvae fed on sediment and water-column derived MOB biomass.