Circulating microRNAs Reveal Time Course of Organ Injury in a Porcine Model of Acetaminophen-Induced Acute Liver Failure

Acute liver failure is a rare but catastrophic condition which can progress rapidly to multi-organ failure. Studies investigating the onset of individual organ injury such as the liver, kidneys and brain during the evolution of acute liver failure, are lacking. MicroRNAs are short, non-coding strands of RNA that are released into the circulation following tissue injury. In this study, we have characterised the release of both global microRNA and specific microRNA species into the plasma using a porcine model of acetaminophen-induced acute liver failure. Pigs were induced to acute liver failure with oral acetaminophen over 19h±2h and death occurred 13h±3h thereafter. Global microRNA concentrations increased 4h prior to acute liver failure in plasma (P<0.0001) but not in isolated exosomes, and were associated with increasing plasma levels of the damage-associated molecular pattern molecule, genomic DNA (P<0.0001). MiR122 increased around the time of onset of acute liver failure (P<0.0001) and was associated with increasing international normalised ratio (P<0.0001). MiR192 increased 8h after acute liver failure (P<0.0001) and was associated with increasing creatinine (P<0.0001). The increase in miR124-1 occurred concurrent with the pre-terminal increase in intracranial pressure (P<0.0001) and was associated with decreasing cerebral perfusion pressure (P<0.002)

miRNeye: a microRNA expression atlas of the mouse eye

<p>Abstract</p> <p>Background</p> <p>MicroRNAs (miRNAs) are key regulators of biological processes. To define miRNA function in the eye, it is essential to determine a high-resolution profile of their spatial and temporal distribution.</p> <p>Results</p> <p>In this report, we present the first comprehensive survey of miRNA expression in ocular tissues, using both microarray and RNA <it>in situ </it>hybridization (ISH) procedures. We initially determined the expression profiles of miRNAs in the retina, lens, cornea and retinal pigment epithelium of the adult mouse eye by microarray. Each tissue exhibited notably distinct miRNA enrichment patterns and cluster analysis identified groups of miRNAs that showed predominant expression in specific ocular tissues or combinations of them. Next, we performed RNA ISH for over 220 miRNAs, including those showing the highest expression levels by microarray, and generated a high-resolution expression atlas of miRNAs in the developing and adult wild-type mouse eye, which is accessible in the form of a publicly available web database. We found that 122 miRNAs displayed restricted expression domains in the eye at different developmental stages, with the majority of them expressed in one or more cell layers of the neural retina.</p> <p>Conclusions</p> <p>This analysis revealed miRNAs with differential expression in ocular tissues and provided a detailed atlas of their tissue-specific distribution during development of the murine eye. The combination of the two approaches offers a valuable resource to decipher the contributions of specific miRNAs and miRNA clusters to the development of distinct ocular structures.</p

Perturbations of MicroRNA Function in Mouse Dicer Mutants Produce Retinal Defects and Lead to Aberrant Axon Pathfinding at the Optic Chiasm

During development axons encounter a variety of choice points where they have to make appropriate pathfinding decisions. The optic chiasm is a major decision point for retinal ganglion cell (RGC) axons en route to their target in order to ensure the correct wiring of the visual system. MicroRNAs (miRNAs) belong to the class of small non-coding RNA molecules and have been identified as important regulators of a variety of processes during embryonic development. However, their involvement in axon guidance decisions is less clear.We report here that the early loss of Dicer, an essential protein for the maturation of miRNAs, in all cells of the forming retina and optic chiasm leads to severe phenotypes of RGC axon pathfinding at the midline. Using a conditional deletion approach in mice, we find in homozygous Dicer mutants a marked increase of ipsilateral projections, RGC axons extending outside the optic chiasm, the formation of a secondary optic tract and a substantial number of RGC axons projecting aberrantly into the contralateral eye. In addition, the mutant mice display a microphthalmia phenotype.Our work demonstrates an important role of Dicer controlling the extension of RGC axons to the brain proper. It indicates that miRNAs are essential regulatory elements for mechanisms that ensure correct axon guidance decisions at the midline and thus have a central function in the establishment of circuitry during the development of the nervous system

Sequence Relationships among C. elegans, D. melanogaster and Human microRNAs Highlight the Extensive Conservation of microRNAs in Biology

microRNAs act in a prevalent and conserved post-transcriptional gene regulatory mechanism that impacts development, homeostasis and disease, yet biological functions for the vast majority of miRNAs remain unknown. Given the power of invertebrate genetics to promote rapid evaluation of miRNA function, recently expanded miRNA identifications (miRBase 10.1), and the importance of assessing potential functional redundancies within and between species, we evaluated miRNA sequence relationships by 5′ end match and overall homology criteria to compile a snapshot overview of miRNA families within the C. elegans and D. melanogaster genomes that includes their identified human counterparts. This compilation expands literature documentation of both the number of families and the number of family members, within and between nematode and fly models, and highlights sequences conserved between species pairs or among nematodes, flies and humans. Themes that emerge include the substantial potential for functional redundancy of miRNA sequences within species (84/139 C. elegans miRNAs and 70/152 D. melanogaster miRNAs share significant homology with other miRNAs encoded by their respective genomes), and the striking extent to which miRNAs are conserved across species—over half (73/139) C. elegans miRNAs share sequence homology with miRNAs encoded also in both fly and human genomes. This summary analysis of mature miRNA sequence relationships provides a quickly accessible resource that should facilitate functional and evolutionary analyses of miRNAs and miRNA families

Downscaling Climate Change Impacts, Socio-Economic Implications and Alternative Adaptation Pathways for Islands and Outermost Regions

This book provides a comprehensive overview of the future scenarios of climate change and management concerns associated with climate change impacts on the blue economy of European islands and outermost regions. The publication collects major findings of the SOCLIMPACT project’s research outcomes, aiming to raise social awareness among policy-makers and industry about climate change consequences at local level, and provide knowledge-based information to support policy design, from local to national level. This comprehensive book will also assist students, scholars and practitioners to understand, conceptualize and effectively and responsibly manage climate change information and applied research. This book provides invaluable material for Blue Growth Management, theory and application, at all levels. This first edition includes up-to-date data, statistics, references, case material and figures of the 12 islands case studies. ¨Downscaling climate change impacts, socio-economic implications and alternative adaptation pathways for Islands and Outermost Regions¨ is a must-read book, given the accessible style and breadth and depth with which the topic is dealt. The book is an up-to-date synthesis of key knowledge on this area, written by a multidisciplinary group of experts on climate and economic modelling, and policy design

Modélisation du poly-époxy DGEBA-EDA et de sa réactivité vis-à-vis du cuivre : approche expérimentale et numérique

Grâce à la métallisation de leur surface, des pièces en polymères peuvent substituer certains composants métalliques dans les industries de l'aérospatiale et du transport. Les polymères ont des masses volumiques plus faibles que les métaux et une réactivité chimique limitée, ce qui en fait des candidats idéaux pour les applications spatiales. En combinant techniques expérimentales et simulations numériques, nous avons étudié les mécanismes fondamentaux de la métallisation de surface d'un polymère poly-époxy (DGEBA / EDA). L'objectif de notre étude était de développer un modèle non empirique prenant en compte les mécanismes régissant la nucléation et la croissance des films minces métalliques. Notre groupe a une longue expérience des dépôts chimiques en phase vapeur, CVD. Mais cette technique n'a pas été choisie pour la métallisation de nos surfaces de polymères car les températures requises dans le réacteur étaient trop élevées. Comme alternative, nous avons effectué une évaporation sous ultravide de Cu à température ambiante, conduisant à une diffusion des atomes en phase gazeuse sans énergie cinétique. Les processus d'adsorption et de diffusion sont donc plus proches des conditions thermodynamiques associées aux calculs. Un protocole expérimental a été mis en place afin de créer une surface polymère chimiquement homogène présentant une faible rugosité. Le polymère obtenu a été caractérisé (i) par spectroscopie infrarouge à transformée de Fourier, pour déterminer le taux de polymérisation (supérieur à 90%), (ii) par calorimétrie différentielle à balayage pour obtenir la température de transition vitreuse (Tg) ( 118,1 °C), (iii) par microscopie à force atomique (AFM) pour estimer la rugosité de la surface (Ra ˜ 1 nm), et (iv) par spectroscopie de photoélectrons X (XPS) pour caractériser les liaisons chimiques de surface. La surface de polymère a ensuite été métallisée. Grâce à des analyses AFM, l'épaisseur du film mince a été estimée à 6 nm. Nous avons ensuite utilisé l'XPS pour caractériser les liaisons interfaciales Cu / Poly-époxy. Nous avons déduit de l'interprétation des spectres XPS que le Cu est adsorbé préférentiellement sur un atome d'oxygène spécifique du polymère. Pour identifier clairement ces sites d'adsorption de Cu, nous avons ensuite simulé les spectres XPS du polymère non revêtu, par des calculs quantiques, en utilisant un modèle moléculaire (dimère : 1 molécule de DGEBA liée à 1 molécule d'EDA). Les méthodes Hartree-Fock (HF) et de la théorie de la fonctionnelle de la densité (DFT) nous ont permis de simuler des spectres XPS pour la surface nue, en prenant en compte les effets d'état final et initial. Grâce à ces résultats, nous avons pu décomposer le spectre expérimental en 8 contributions, ce qui conduit à des résultats beaucoup plus précis que les résultats habituels obtenus par l'utilisation exclusive des expériences et de la littérature. Nous avons ensuite effectué des simulations de dynamique moléculaire classique (MD) pour passer d'un modèle moléculaire (dimère) à un modèle de polymère amorphe. Nous avons utilisé le champ de force Amber généralisé (GAFF) et nous avons développé un code de réticulation des molécules de monomères. Le système initial était un mélange stœchiométrique de molécules DGEBA et EDA qui a été équilibré à 700K. Lorsque l'équilibre a été atteint, certaines propriétés structurales (par exemple, la distribution des liaisons) ont été extraites des simulations NPT. À partir de ce mélange liquide de monomères, notre code de réticulation a identifié et relié les atomes réactifs (à une distance interatomique prédéfinie < 3 Å). Après chaque étape de polymérisation, le système a été rééquilibré à 700K (simulations NPT). Après plusieurs cycles de réticulation/simulation de dynamique moléculaire, nous avons pu atteindre un taux de polymérisation de 93% et la fonction de distribution radiale (RDF), la masse volumique (1.115 à 300K) et la température de transition vitreuse Tg (115,5 °C) ont été calculées. La Tg est en accord avec la valeur expérimentale de 118,1 °C, validant notre approche numérique pour développer un modèle pour les polymères poly-époxy.Metallization of polymer surfaces can lead to the substitution of metallic components. Polymers have lower densities and limited chemical reactivity, making them ideal candidates for the space applications. Through experiments and calculations, we studied the fundamental mechanisms of surface metallization of a poly-epoxy polymer (DGEBA/EDA). The objective of our study was to develop a non-empirical model that could take into account the mechanisms governing the nucleation and growth of thin metal films. Our group has a long experience in chemical vapor deposition, CVD, and metallization of polymer composites. But we did not applied CVD at first because of the high temperatures required in the reactor. We alternatively used ultrahigh vacuum evaporation of Cu at ambient temperature. Therefore, we make sure that atoms diffuse in the gas phase without kinetic energy. Adsorption and diffusion processes are thus closer to thermodynamic conditions that prevails in calculations. An experimental protocol was refined in order to create a chemically homogeneous polymer surface with a low roughness (Ra<1nm). The bulk and the surface of the pristine polymer were characterized (i) by Fourier Transform Infrared Spectroscopy, to determine the polymerization rate (above 90%), (ii) by differential scanning calorimetry in order to obtain the glass transition temperature (Tg) (118.1 °C), (iii) by atomic force microscopy (AFM) to calculate surface roughness (Ra ˜ 1 nm), and (iv) by X-ray photoelectron spectroscopy (XPS) to characterize surface chemical bonding. The surface was then metallized. Through AFM, the thickness of the thin film was estimated at 6 nm. We then used XPS to characterize the Cu/Poly-epoxy interfacial bonding. We deduced that Cu adsorbed preferentially on a specific oxygen atom of the polymer. To clearly identify this Cu adsorption site, we further simulated the XPS spectra of our clean or metallized polymer by quantum calculations, using a dimer model (1 molecule of DGEBA connected to 1 molecule of EDA). In the Hartree-Fock (HF) and Density Functional Theory (DFT) framework, we first simulated the XPS spectra for the pristine surface taking into account initial and final state effects. Thanks to these results, we were able to analyze the experimental spectrum with 8 contributions, leading to much more accurate results than the usual results obtained by the exclusive use of experiments and literature. We then performed classical Molecular Dynamics (MD) simulations to move from a dimer model to an amorphous polymer model. We used the general Amber force field (GAFF) and we developed a code to mimic the reticulation of monomers molecules. We started from a stoichiometric mixture of DGEBA and EDA molecules. When equilibration was reached, structural properties at 700K (e.g. distribution of bonds) were extracted from the results of the NPT simulations. From this melt of monomers, the homemade reticulation code identified and connected reactive atoms (at a pre-defined inter-atomic distance < 3Å). After each step of polymerization, the system was equilibrated at 700K (NPT simulations). After multiple reticulation/MD cycles we could achieve a polymerization rate of 93% and the Radial Distribution Function (RDF), the density and the glass transition temperature Tg were calculated. The value of the computed density was 1.115 at 300K and the calculated Tg (115.5 °C) was in good agreement with the experimental Tg of 118.1 °C, validating our numerical approach to develop a model for poly-epoxies

Genetic variants associated with longitudinal changes in brain structure across the lifespan

Human brain structure changes throughout the lifespan. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental and neurodegenerative diseases. In this study, we identified common genetic variants that affect rates of brain growth or atrophy in what is, to our knowledge, the first genome-wide association meta-analysis of changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 15,640 individuals were used to compute rates of change for 15 brain structures. The most robustly identified genes GPR139, DACH1 and APOE are associated with metabolic processes. We demonstrate global genetic overlap with depression, schizophrenia, cognitive functioning, insomnia, height, body mass index and smoking. Gene set findings implicate both early brain development and neurodegenerative processes in the rates of brain changes. Identifying variants involved in structural brain changes may help to determine biological pathways underlying optimal and dysfunctional brain development and aging