27 research outputs found

    Lagos lagoon sediment organic extracts and polycyclic aromatic hydrocarbons induce embryotoxic, teratogenic and genotoxic effects in Danio rerio (zebrafish) embryos:Toxic effects of Lagos lagoon sediment extracts in Danio rerio embryos

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    An expansion of anthropogenic activity around Lagos lagoon, Nigeria, has raised concerns over increasing contaminants entering the lagoon’s ecosystem. The embryotoxicity, teratogenicity and genotoxicity of sediment organic extracts from four sampling zones around Lagos lagoon, Ilaje, Iddo, Atlas Cove and Apapa, as well as the dominant polycyclic aromatic hydrocarbons (PAHs) identified in water measured during the wet season (naphthalene, phenanthrene, pyrene, benzo[a]pyrene and a mixture of these), were assessed with Danio rerio embryos. Embryos were exposed to varying concentrations of toxicants from 0–72 h post-fertilization (hpf). Embryotoxicity at 72 hpf showed a dose-dependent increase in mortality upon exposure to extracts from all zones, except Atlas Cove. Similarly, higher levels of teratogenic effects, such as increased oedema, and haemorrhage and developmental abnormalities resulted from exposure to extracts from Ilaje, Iddo and Apapa zones. Treatment with single PAHs revealed that significant levels of detrimental effects were obtained only for phenanthrene. The modified comet assay revealed that the oxidative damage to DNA was generally low (<12 %) overall for all sediment extracts, but was significantly elevated with Ilaje and Iddo sediment extracts when compared with solvent controls. Oxidative damage was observed with the single PAHs, phenanthrene and benzo[a]pyrene, as well as with the PAH mixture. This study highlights that Lagos lagoon sediment extracts have teratogenic, embryotoxic and genotoxic properties, which are likely due to the high molecular weight PAHs present in the extracts, some of which are known or are suspected human carcinogens

    Learning the dynamics of cell-cell interactions in confined cell migration

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    The migratory dynamics of cells in physiological processes, ranging from wound healing to cancer metastasis, rely on contact-mediated cell-cell interactions. These interactions play a key role in shaping the stochastic trajectories of migrating cells. While data-driven physical formalisms for the stochastic migration dynamics of single cells have been developed, such a framework for the behavioral dynamics of interacting cells still remains elusive. Here, we monitor stochastic cell trajectories in a minimal experimental cell collider: a dumbbell-shaped micropattern on which pairs of cells perform repeated cellular collisions. We observe different characteristic behaviors, including cells reversing, following and sliding past each other upon collision. Capitalizing on this large experimental data set of coupled cell trajectories, we infer an interacting stochastic equation of motion that accurately predicts the observed interaction behaviors. Our approach reveals that interacting non-cancerous MCF10A cells can be described by repulsion and friction interactions. In contrast, cancerous MDA-MB-231 cells exhibit attraction and anti-friction interactions, promoting the predominant relative sliding behavior observed for these cells. Based on these experimentally inferred interactions, we show how this framework may generalize to provide a unifying theoretical description of the diverse cellular interaction behaviors of distinct cell types

    Maladaptive Habitat Selection of a Migratory Passerine Bird in a Human-Modified Landscape

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    In human-altered environments, organisms may preferentially settle in poor-quality habitats where fitness returns are lower relative to available higher-quality habitats. Such ecological trapping is due to a mismatch between the cues used during habitat selection and the habitat quality. Maladaptive settlement decisions may occur when organisms are time-constrained and have to rapidly evaluate habitat quality based on incomplete knowledge of the resources and conditions that will be available later in the season. During a three-year study, we examined settlement decision-making in the long-distance migratory, open-habitat bird, the Red-backed shrike (Lanius collurio), as a response to recent land-use changes. In Northwest Europe, the shrikes typically breed in open areas under a management regime of extensive farming. In recent decades, Spruce forests have been increasingly managed with large-size cutblocks in even-aged plantations, thereby producing early-successional vegetation areas that are also colonised by the species. Farmland and open areas in forests create mosaics of two different types of habitats that are now occupied by the shrikes. We examined redundant measures of habitat preference (order of settlement after migration and distribution of dominant individuals) and several reproductive performance parameters in both habitat types to investigate whether habitat preference is in line with habitat quality. Territorial males exhibited a clear preference for the recently created open areas in forests with higher-quality males settling in this habitat type earlier. Reproductive performance was, however, higher in farmland, with higher nest success, offspring quantity, and quality compared to open areas in forests. The results showed strong among-year consistency and we can therefore exclude a transient situation. This study demonstrates a case of maladaptive habitat selection in a farmland bird expanding its breeding range to human-created open habitats in plantations. We discuss the reasons that could explain this decision-making and the possible consequences for the population dynamics and persistence

    Do retail businesses have efficient incentives to invest in public charging stations for electric vehicles?

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    Many public charging stations for electric vehicles in the United States are chargers installed at the premises of pre-existing businesses such as grocery stores or restaurants. This paper investigates the incentives of these retail businesses to install and operate charging stations. First, we note that observed pricing schedules for charging stations significantly depart from both first-best and monopoly pricing. We argue that a possible explanation is that many hosting facilities may install a charging station primarily as a strategy to attract more customers to their core business. Second, we use an imperfect competition model to study retail businesses’ incentives to invest in charging stations. We show that hosting facilities may be trapped in a prisoner’s dilemma where investing in a charging station decreases their profit in the long run. However, the equilibrium level of investments in public charging stations need not differ from the socially optimal outcome

    Learning the dynamics of cell–cell interactions in confined cell migration

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    The migratory dynamics of cells in physiological processes, ranging from wound healing to cancer metastasis, rely on contact-mediated cell–cell interactions. These interactions play a key role in shaping the stochastic trajectories of migrating cells. While data-driven physical formalisms for the stochastic migration dynamics of single cells have been developed, such a framework for the behavioral dynamics of interacting cells still remains elusive. Here, we monitor stochastic cell trajectories in a minimal experimental cell collider: a dumbbell-shaped micropattern on which pairs of cells perform repeated cellular collisions. We observe different characteristic behaviors, including cells reversing, following, and sliding past each other upon collision. Capitalizing on this large experimental dataset of coupled cell trajectories, we infer an interacting stochastic equation of motion that accurately predicts the observed interaction behaviors. Our approach reveals that interacting noncancerous MCF10A cells can be described by repulsion and friction interactions. In contrast, cancerous MDA-MB-231 cells exhibit attraction and antifriction interactions, promoting the predominant relative sliding behavior observed for these cells. Based on these experimentally inferred interactions, we show how this framework may generalize to provide a unifying theoretical description of the diverse cellular interaction behaviors of distinct cell types

    Geometry Adaptation of Protrusion and Polarity Dynamics in Confined Cell Migration

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    Cell migration in confining physiological environments relies on the concerted dynamics of several cellular components, including protrusions, adhesions with the environment, and the cell nucleus. However, it remains poorly understood how the dynamic interplay of these components and the cell polarity determine the emergent migration behavior at the cellular scale. Here, we combine data-driven inference with a mechanistic bottom-up approach to develop a model for protrusion and polarity dynamics in confined cell migration, revealing how the cellular dynamics adapt to confining geometries. Specifically, we use experimental data of joint protrusion-nucleus migration trajectories of cells on confining micropatterns to systematically determine a mechanistic model linking the stochastic dynamics of cell polarity, protrusions, and nucleus. This model indicates that the cellular dynamics adapt to confining constrictions through a switch in the polarity dynamics from a negative to a positive self-reinforcing feedback loop. Our model further reveals how this feedback loop leads to stereotypical cycles of protrusion-nucleus dynamics that drive the migration of the cell through constrictions. These cycles are disrupted upon perturbation of cytoskeletal components, indicating that the positive feedback is controlled by cellular migration mechanisms. Our data-driven theoretical approach therefore identifies polarity feedback adaptation as a key mechanism in confined cell migration

    Early and late outcomes of 517 consecutive adult patients treated with extracorporeal membrane oxygenation for refractory postcardiotomy cardiogenic shock

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    OBJECTIVE: Adult postcardiotomy cardiogenic shock potentially requiring mechanical circulatory support occurs in 0.5% to 1.5% of cases. Risk factors influencing early or long-term outcome after extracorporeal membrane oxygenation implantation are not well described. METHODS: Between May 1996 and May 2008, 517 adult patients received extracorporeal membrane oxygenation support for postcardiotomy cardiogenic shock. Procedures were isolated coronary artery bypass grafting (37.4%), isolated valve surgery (14.3%), coronary artery bypass grafting plus valve surgery (16.8%), thoracic organ transplantation (6.5%), and other combinations (25.0%). Fifty-four preoperative and 42 procedural risk factors concerning in-hospital mortality were evaluated by logistic regression analyses. RESULTS: Mean age was 63.5 years, 71.5% were male, ejection fraction was 45.9% +/- 17.6%, logistic EuroSCORE was 21.6% +/- 20.7%. Extracorporeal membrane oxygenation was established through thoracic (60.8%) or extrathoracic (39.2%) cannulation. Extracorporeal membrane oxygenation support was 3.28 +/- 2.85 days. Intra-aortic balloon pumps were implanted in 74.1%. Weaning from extracorporeal membrane oxygenation was successful for 63.3%, and 24.8% were discharged. Cerebrovascular events occurred in 17.4%, gastrointestinal complications in 18.8%, and renal replacement therapy in 65.0%. Risk factors for hospital mortality were age older than 70 years (odds ratio, 1.6), diabetes (odds ratio, 2.5), preoperative renal insufficiency (odds ratio, 2.1), obesity (odds ratio, 1.8), logistic EuroSCORE greater than 20% (odds ratio, 1.8), operative lactate greater than 4 mmol/L (odds ratio, 2.2). Isolated coronary artery bypass grafting (odds ratio, 0.44) was protective. Cumulative survivals were 17.6% after 6 months, 16.5% after 1 year, and 13.7% after 5 years. CONCLUSIONS: Extracorporeal membrane oxygenation support is an acceptable option for patients with postcardiotomy cardiogenic shock who otherwise would die and is justified by good long-term

    The concept of laser-based conversion electron Mössbauer spectroscopy for a precise energy determination of 229m^{229m}Th

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    229^{229}Th is the only nucleus currently under investigation for the development of a nuclear optical clock (NOC) of ultra-high accuracy. The insufficient knowledge of the first nuclear excitation energy of 229^{229}Th has so far hindered direct nuclear laser spectroscopy of thorium ions and thus the development of a NOC. Here, a nuclear laser excitation scheme is detailed, which makes use of thorium atoms instead of ions. This concept, besides potentially leading to the first nuclear laser spectroscopy, would determine the isomeric energy to 40 ÎĽ\mueV resolution, corresponding to 10 GHz, which is a 10410^4 times improvement compared to the current best energy constraint. This would determine the nuclear isomeric energy to a sufficient accuracy to allow for nuclear laser spectroscopy of individual thorium ions in a Paul trap and thus the development of a single-ion nuclear optical clock
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