La valeur pronostique de la protéine S-100B et de l'énolase neurone-spécifique suivant un traumatisme craniocérébral modéré ou grave: Revues systématiques et méta-analyses

Cette étude a pour objectif de déterminer la valeur pronostique de la protéine S-100ß et de l’énolase neurone-spécifique (NSE) chez les patients ayant subi un traumatisme craniocérébral (TCC) modéré ou grave. Deux revues systématiques et méta-analyses ont été effectuées afin de recenser les études présentant un dosage de ces biomarqueurs en lien avec la mortalité ou le pronostic fonctionnel évalué à l’aide du score du Glasgow outcome scale (GOS). Des 9228 résultats de la recherche, 41 et 26 études ont été incluses, respectivement, pour la protéine S-100ß et la NSE. Il existe une association entre le dosage sérique de la protéine S-100ß et de la NSE avec une issue clinique défavorable, c’est-à-dire la mortalité ou un score du GOS ≤ 3. Une concentration sérique entre 1,38 et 10,50 µg/L pour la protéine S-100ß est 100 % spécifique pour prédire le décès. La présence de lésions extracérébrales n’influençait pas cette association.

Toward blueprints for network architecture, biophysical dynamics, and signal transduction

We review mathematical aspects of biophysical dynamics, signal transduction and network architecture that have been used to uncover functionally significant relations between the dynamics of single neurons and the networks they compose. We focus on examples that combine insights from these three areas to expand our understanding of systems neuroscience. These range from single neuron coding to models of decision making and electrosensory discrimination by networks and populations, as well as coincidence detection in pairs of dendrites and the dynamics of large networks of excitable dendritic spines. We conclude by describing some of the challenges that lie ahead as the applied mathematics community seeks to provide the tools that will ultimately underpin systems neuroscience.

Branching dendrites with resonant membrane: a "sum-over-trips" approach

Dendrites form the major components of neurons. They are complex branching structures that receive and process thousands of synaptic inputs from other neurons. It is well known that dendritic morphology plays an important role in the function of dendrites. Another important contribution to the response characteristics of a single neuron comes from the intrinsic resonant properties of dendritic membrane. In this paper we combine the effects of dendritic branching and resonant membrane dynamics by generalising the "sum-over-trips" approach [Abbott, L.F., Fahri, E., Gutmann, S.: The path integral for dendritic trees. Biological Cybernetics 66, 49--60 (1991)]. To illustrate how this formalism can shed light on the role of architecture and resonances in determining neuronal output we consider dual recording and reconstruction data from a rat CA1 hippocampal pyramidal cell. Specifically we explore the way in which an $I_{h}$ current contributes to a voltage overshoot at the soma.

Correlação entre o sinal mecanomiográfico e a escala modificada de Ashworth durante avaliação clínica da espasticidade

Spasticity is a common disorder in people who have upper motor neuron injury. The involvement may occur at different levels. The Modified Ashworth Scale (MAS) is the most used method to measure involvement levels. But it corresponds to a subjective evaluation. Mechanomyography (MMG) is an objective technique that quantifies the muscle vibration during the contraction and stretching events. So, it may assess the level of spasticity accurately. This study aimed to investigate the correlation between spasticity levels determined by MAS with MMG signal in spastic and not spastic muscles. In the experimental protocol, we evaluated 34 members of 22 volunteers, of both genders, with a mean age of 39.91 ± 13.77 years. We evaluated the levels of spasticity by MAS in flexor and extensor muscle groups of the knee and/or elbow, where one muscle group was the agonist and one antagonist. Simultaneously the assessment by the MAS, caught up the MMG signals. We used a custom MMG equipment to register and record the signals, configured in LabView platform. Using the MatLab computer program, it was processed the MMG signals in the time domain (median energy) and spectral domain (median frequency) for the three motion axes: X (transversal), Y (longitudinal) and Z (perpendicular). For bandwidth delimitation, we used a 3rd order Butterworth filter, acting in the range of 5-50 Hz. Statistical tests as Spearman's correlation coefficient, Kruskal-Wallis test and linear correlation test were applied. As results in the time domain, the Kruskal-Wallis test showed differences in median energy (MMGME) between MAS groups. The linear correlation test showed high linear correlation between MAS and MMGME for the agonist muscle as well as for the antagonist group. The largest linear correlation occurred between the MAS and MMG ME for the Z axis of the agonist muscle group (R2 = 0.9557) and the lowest correlation occurred in the X axis, for the antagonist muscle group (R2 = 0.8862). The Spearman correlation test also confirmed high correlation for all axes in the time domain analysis. In the spectral domain, the analysis showed an increase in the median frequency (MMGMF) in MAS’ greater levels. The highest correlation coefficient between MAS and MMGMF signal occurred in the Z axis for the agonist muscle group (R2 = 0.4883), and the lowest value occurred on the Y axis for the antagonist group (R2 = 0.1657). By means of the Spearman correlation test, the highest correlation occurred between the Y axis of the agonist group (0.6951; p <0.001) and the lowest value on the X axis of the antagonist group (0.3592; p <0.001). We conclude that there was a significantly high correlation between the MMGME and MAS in both muscle groups. Also between MMG and MAS occurred a significant correlation, however moderate for the agonist group, and low for the antagonist group. So, the MMGME proved to be more an appropriate descriptor to correlate with the degree of spasticity defined by the MAS.

Mapeando fundamentos do Constructo Neuromarketing com profissionais de empresa de publicidade

This study aims to acknowledge the domain level and influence of the neuromarketing construct. This is done considering professionals at advertising agencies in Brazil. The presence of concepts related to this new approach is very little divulged, and there are little analysis performed on this area. Thus, the research is of qualitative and exploratory nature and used as primary fonts books, articles related to marketing, neuroscience, and psychology as well as secondary fonts. A profound interview was realized aiming the main advertising agencies in Brazil. The public was composed by managers responsible for planning. A content analysis was performed afterwards. The advances related to the brain science have permitted the development of technological innovation. These go primarily towards knowledge and unconscious experiences of consumers, which are responsible for the impulse of decision making and consumer behavior. These issues are related to Neuromarketing, that in turn, uses techniques such as FMRI, PET and FDOT. These scan the consumer s brain and produces imagines on the neuron s structures and functioning. This is seen while activities such as mental tasks for the visualization of brands, images or products, watching videos and commercials are performed. It is observed that the agencies are constantly in search of new technologies and are aware of the limitations of the current research instruments. On the other hand, they are not totally familiar with concepts related to neuromarketing. In relation to the neuroimage techniques it is pointed out by the research that there is full unawareness, but some agencies seem to visualize positive impacts with the use of these techniques for the evaluation of films and in ways that permit to know the consumer better. It is also seen that neuroimage is perceived as a technique amongst others, but its application is not real, there are some barriers in the market and in the agencies itself. These barriers as well as some questioning allied to the scarce knowledge of neuromarketing, make it not possible to be put into practice in the advertising market. It is also observed that even though there is greater use of neuromarketing; there would not be any meaningful changes in functioning and structuring of these agencies. The use of the neuro-image machines should be done in research institutes and centers of big companies. Results show that the level of domain of the neuromarketing construct in the Brazilian advertising agencies is only a theoretical one. Little is known of this subject and the neurological studies and absolutely nothing of neuroimage techniques

Mécanismes psychophysiques et neuronaux de la compensation dynamique de multiples champs de force : facilitation et anticipation liée à des indices de couleur

Dans cette thèse, nous abordons le contrôle moteur du mouvement du coude à travers deux approches expérimentales : une première étude psychophysique a été effectuée chez les sujets humains, et une seconde implique des enregistrements neurophysiologiques chez le singe. Nous avons recensé plusieurs aspects non résolus jusqu’à présent dans l’apprentissage moteur, particulièrement concernant l’interférence survenant lors de l’adaptation à deux ou plusieurs champs de force anti-corrélés. Nous avons conçu un paradigme où des stimuli de couleur aident les sujets à prédire la nature du champ de force externe actuel avant qu’ils ne l’expérimentent physiquement durant des mouvements d’atteinte. Ces connaissances contextuelles faciliteraient l’adaptation à des champs de forces en diminuant l’interférence. Selon le modèle computationnel de l’apprentissage moteur MOSAIC (MOdular Selection And Identification model for Control), les stimuli de couleur aident les sujets à former « un modèle interne » de chaque champ de forces, à s’en rappeler et à faire la transition entre deux champs de force différents, sans interférence. Dans l’expérience psychophysique, quatre groupes de sujets humains ont exécuté des mouvements de flexion/extension du coude contre deux champs de forces. Chaque force visqueuse était associée à une couleur de l’écran de l’ordinateur et les deux forces étaient anti-corrélées : une force résistante (Vr) a été associée à la couleur rouge de l’écran et l’autre, assistante (Va), à la couleur verte de l’écran. Les deux premiers groupes de sujets étaient des groupes témoins : la couleur de l’écran changeait à chaque bloc de 4 essais, tandis que le champ de force ne changeait pas. Les sujets du groupe témoin Va ne rencontraient que la force assistante Va et les sujets du groupe témoin Vr performaient leurs mouvements uniquement contre une force résistante Vr. Ainsi, dans ces deux groupes témoins, les stimuli de couleur n’étaient pas pertinents pour adapter le mouvement et les sujets ne s’adaptaient qu’à une seule force (Va ou Vr). Dans les deux groupes expérimentaux, cependant, les sujets expérimentaient deux champs de forces différents dans les différents blocs d’essais (4 par bloc), associés à ces couleurs. Dans le premier groupe expérimental (groupe « indice certain », IC), la relation entre le champ de force et le stimulus (couleur de l’écran) était constante. La couleur rouge signalait toujours la force Vr tandis que la force Va était signalée par la couleur verte. L’adaptation aux deux forces anti-corrélées pour le groupe IC s’est avérée significative au cours des 10 jours d’entraînement et leurs mouvements étaient presque aussi bien ajustés que ceux des deux groupes témoins qui n’avaient expérimenté qu’une seule des deux forces. De plus, les sujets du groupe IC ont rapidement démontré des changements adaptatifs prédictifs dans leurs sorties motrices à chaque changement de couleur de l’écran, et ceci même durant leur première journée d’entraînement. Ceci démontre qu’ils pouvaient utiliser les stimuli de couleur afin de se rappeler de la commande motrice adéquate. Dans le deuxième groupe expérimental, la couleur de l’écran changeait régulièrement de vert à rouge à chaque transition de blocs d’essais, mais le changement des champs de forces était randomisé par rapport aux changements de couleur (groupe « indice-incertain », II). Ces sujets ont pris plus de temps à s’adapter aux champs de forces que les 3 autres groupes et ne pouvaient pas utiliser les stimuli de couleurs, qui n’étaient pas fiables puisque non systématiquement reliés aux champs de forces, pour faire des changements prédictifs dans leurs sorties motrices. Toutefois, tous les sujets de ce groupe ont développé une stratégie ingénieuse leur permettant d’émettre une réponse motrice « par défaut » afin de palper ou de sentir le type de la force qu’ils allaient rencontrer dans le premier essai de chaque bloc, à chaque changement de couleur. En effet, ils utilisaient la rétroaction proprioceptive liée à la nature du champ de force afin de prédire la sortie motrice appropriée pour les essais qui suivent, jusqu’au prochain changement de couleur d’écran qui signifiait la possibilité de changement de force. Cette stratégie était efficace puisque la force demeurait la même dans chaque bloc, pendant lequel la couleur de l’écran restait inchangée. Cette étude a démontré que les sujets du groupe II étaient capables d’utiliser les stimuli de couleur pour extraire des informations implicites et explicites nécessaires à la réalisation des mouvements, et qu’ils pouvaient utiliser ces informations pour diminuer l’interférence lors de l’adaptation aux forces anti-corrélées. Les résultats de cette première étude nous ont encouragés à étudier les mécanismes permettant aux sujets de se rappeler d’habiletés motrices multiples jumelées à des stimuli contextuels de couleur. Dans le cadre de notre deuxième étude, nos expériences ont été effectuées au niveau neuronal chez le singe. Notre but était alors d’élucider à quel point les neurones du cortex moteur primaire (M1) peuvent contribuer à la compensation d’un large éventail de différentes forces externes durant un mouvement de flexion/extension du coude. Par cette étude, nous avons testé l’hypothèse liée au modèle MOSAIC, selon laquelle il existe plusieurs modules contrôleurs dans le cervelet qui peuvent prédire chaque contexte et produire un signal de sortie motrice approprié pour un nombre restreint de conditions. Selon ce modèle, les neurones de M1 recevraient des entrées de la part de plusieurs contrôleurs cérébelleux spécialisés et montreraient ensuite une modulation appropriée de la réponse pour une large variété de conditions. Nous avons entraîné deux singes à adapter leurs mouvements de flexion/extension du coude dans le cadre de 5 champs de force différents : un champ nul ne présentant aucune perturbation, deux forces visqueuses anti-corrélées (assistante et résistante) qui dépendaient de la vitesse du mouvement et qui ressemblaient à celles utilisées dans notre étude psychophysique chez l’homme, une force élastique résistante qui dépendait de la position de l’articulation du coude et, finalement, un champ viscoélastique comportant une sommation linéaire de la force élastique et de la force visqueuse. Chaque champ de force était couplé à une couleur d’écran de l’ordinateur, donc nous avions un total de 5 couleurs différentes associées chacune à un champ de force (relation fixe). Les singes étaient bien adaptés aux 5 conditions de champs de forces et utilisaient les stimuli contextuels de couleur pour se rappeler de la sortie motrice appropriée au contexte de forces associé à chaque couleur, prédisant ainsi leur sortie motrice avant de sentir les effets du champ de force. Les enregistrements d’EMG ont permis d’éliminer la possibilité de co-contractions sous-tendant ces adaptations, étant donné que le patron des EMG était approprié pour compenser chaque condition de champ de force. En parallèle, les neurones de M1 ont montré des changements systématiques dans leurs activités, sur le plan unitaire et populationnel, dans chaque condition de champ de force, signalant les changements requis dans la direction, l’amplitude et le décours temporel de la sortie de force musculaire nécessaire pour compenser les 5 conditions de champs de force. Les changements dans le patron de réponse pour chaque champ de force étaient assez cohérents entre les divers neurones de M1, ce qui suggère que la plupart des neurones de M1 contribuent à la compensation de toutes les conditions de champs de force, conformément aux prédictions du modèle MOSAIC. Aussi, cette modulation de l’activité neuronale ne supporte pas l’hypothèse d’une organisation fortement modulaire de M1.

Gap junctions and emergent rhythms

Gap junction coupling is ubiquitous in the brain, particularly between the dendritic trees of inhibitory interneurons. Such direct non-synaptic interaction allows for direct electrical communication between cells. Unlike spike-time driven synaptic neural network models, which are event based, any model with gap junctions must necessarily involve a single neuron model that can represent the shape of an action potential. Indeed, not only do neurons communicating via gaps feel super-threshold spikes, but they also experience, and respond to, sub-threshold voltage signals. In this chapter we show that the so-called absolute integrate-and-fire model is ideally suited to such studies. At the single neuron level voltage traces for the model may be obtained in closed form, and are shown to mimic those of fast-spiking inhibitory neurons. Interestingly in the presence of a slow spike adaptation current the model is shown to support periodic bursting oscillations. For both tonic and bursting modes the phase response curve can be calculated in closed form. At the network level we focus on global gap junction coupling and show how to analyze the asynchronous firing state in large networks. Importantly, we are able to determine the emergence of non-trivial network rhythms due to strong coupling instabilities. To illustrate the use of our theoretical techniques (particularly the phase-density formalism used to determine stability) we focus on a spike adaptation induced transition from asynchronous tonic activity to synchronous bursting in a gap-junction coupled network.

La sécrétion de la protéine tau : mécanisme de propagation de la pathologie de tau dans la maladie d’Alzheimer

Dans la maladie d’Alzheimer, il existe deux marqueurs histopathologiques : les plaques amyloïdes composées de la protéine amyloïde-bêta et les enchevêtrements neurofibrillaires (NFTs) composés de la protéine tau agrégée. Dans le cerveau, la propagation de la pathologie de tau est observée le long des circuits neuronaux connectés synaptiquement, selon une séquence de stades, caractérisés par le Docteur Braak en 1991. Chez les patients, le degré de démence corrèle avec le nombre de NFTs. Ces derniers apparaissent dans des régions précises du cerveau et se propagent, de manière prédictible, le long des projections neuronales à des stades plus tardifs de la pathologie. Il reste à éclaircir la manière dont les NFTs se propagent dans les différentes régions du cerveau. Dans notre laboratoire, nous avons émis l’hypothèse que la propagation de tau pourrait se produire par un processus de transmission de cellule à cellule. Ainsi, la protéine tau serait tout d’abord sécrétée par un neurone, puis endocytée par un neurone adjacent. Nos travaux de recherche se sont concentrés sur la sécrétion de la protéine tau. Dans une première étape, nous avons démontré l’existence de la sécrétion active de tau dans l’espace extracellulaire, en utilisant des modèles in vitro de cellules non neuronales et neuronales. Par la suite, nous avons caractérisé les formes de protéines tau sécrétées. Enfin dans un dernier temps, nous avons exploré les voies de sécrétion de la protéine tau ainsi que les mécanismes régulant ce phénomène. Nous avons réussi à moduler la sécrétion de tau en reproduisant plusieurs insultes observées dans la maladie d’Alzheimer. Nos recherches nous ont permis d’identifier l’appareil de Golgi comme étant une organelle dont la fragmentation augmente la sécrétion de la protéine tau. A la lumière de cette découverte, nous avons été capable de moduler la sécrétion de tau en ciblant spécifiquement l’activité de cdk5 et l’expression de rab1A contrôlant la morphologie du Golgi. Ainsi, nous avons réussi à diminuer significativement la sécrétion de la protéine tau. Nos travaux de recherche proposent de nouvelles cibles thérapeutiques pour la maladie d’Alzheimer, visant à diminuer la propagation de la pathologie de tau par de nouveaux mécanismes cellulaires.

In vivo time-lapse imaging of mitochondria in healthy and diseased peripheral myelin sheath

International audience

Galanin and galanin fragment 1-15 modulate antidepressant responses by targeting 5-HT1AR-GALR heteroreceptor complexes of the ascending midbrain serotonin pathways.

Mood disorders, including depression and anxiety, are among the most prevalent mental illnesses with high socioeconomic impact. Although the underlying mechanisms have not yet been clearly defined in the last decade the importance of the role of neuropeptides, including Galanin (GAL), and/or their receptors in the treatment of stress-related mood disorders is becoming increasingly apparent. GAL is involved in mood regulation, including depression-related and anxiety-like behaviors. Activation of GALR1 and GALR3 receptors results in a depression like behavior while stimulation of GALR2 receptor leads to anti-depressant-like effects. Moreover, GAL modulates 5-HT1A receptors (5-HT1AR), a key receptor in depression at autoreceptor and postsynaptic level in the brain. This interaction can in part be due to the existence of GALR1-5-HT1AR heteroreceptor complexes in discrete brain regions [1]. Not only GAL but also the N-terminal fragments like GAL(1-15) are active in the Central Nervous System [2, 3]. Recently, we described that GAL(1-15) induces strong depression-related and anxiogenic-like effects in rats, and these effects were significantly stronger than the ones induced by GAL [4]. The GALR1-GALR2 heteroreceptor complexes in the dorsal hippocampus and especially in the dorsal raphe (DR), areas rich in GAL(1-15) binding sites [5] were involved in these effects [4, 6] and demonstrated also in cellular models. In the present study, we have analyzed the ability of GAL(1-15) to modulate 5-HT1AR located at postjunctional sites and at the soma-dendritic level in rats. We have analyzed the effect of GAL(1-15) on the 5-HT1AR-mediated response in a behavioral test of depression and the involvement of the GALR2 in these effects. GAL(1-15) enhanced the antidepressant effects induced by the 5-HT1AR agonist 8-OH-DPAT in the forced swimming test [7]. These effects were stronger than the ones induced by GAL. The mechanism of this action involved interactions at the receptor level in the plasma membrane with changes also at the transcriptional level. Thus, GAL(1-15) affected the binding characteristics as well as the mRNA level of 5-HT1AR in the dorsal hippocampus and DR. GALR2 was involved in these effects, since the specific GALR2 antagonist M871 blocked GAL(1-15) mediated actions at the behavioral and receptor level [7]. Furthermore, the results on the proximity ligation assay (PLA) in this work suggest the existence of GALR1-GALR2-5-HT1AR heteroreceptor complexes since positive PLA were obtained for both GALR1-5-HT1AR and GALR2-5-HT1AR complexes in the DR and hippocampus. Moreover the studies on RN33B cells, where GALR1, GALR2 and 5-HT1AR exist [4], also showed PLA-positive clusters indicating the existence of GALR1-5-HT1AR and GALR2-5-HT1AR complexes in these cells [7]. In conclusion, our results indicate that GAL(1–15) enhances the antidepressant effects induced by the 5-HT1AR agonist 8-OH-DPAT probably acting on GALR1-GALR2-5-HT1AR heteroreceptor located at postjunctional sites and at the soma-dendritic level. The development of new drugs specifically targeting these heteroreceptor complexes may offer a novel strategy for treatment of depression. This work has been supported by Junta de Andalucia CVI646 1. Borroto-Escuela, D.O., et al., Galanin receptor-1 modulates 5-hydroxtryptamine-1A signaling via heterodimerization. Biochem Biophys Res Commun, 2010. 393(4): p. 767-72. 2. Hedlund, P.B. and K. Fuxe, Galanin and 5-HT1A receptor interactions as an integrative mechanism in 5-HT neurotransmission in the brain. Ann N Y Acad Sci, 1996. 780: p. 193-212. 3. Diaz-Cabiale, Z., et al., Neurochemical modulation of central cardiovascular control: the integrative role of galanin. EXS, 2010. 102: p. 113-31. 4. Millon, C., et al., A role for galanin N-terminal fragment (1-15) in anxiety- and depression-related behaviors in rats. Int J Neuropsychopharmacol, 2015. 18(3). 5. Hedlund, P.B., N. Yanaihara, and K. Fuxe, Evidence for specific N-terminal galanin fragment binding sites in the rat brain. Eur J Pharmacol, 1992. 224(2-3): p. 203-5. 6. Borroto-Escuela, D.O., et al., Preferential activation by galanin 1-15 fragment of the GalR1 protomer of a GalR1-GalR2 heteroreceptor complex. Biochem Biophys Res Commun, 2014. 452(3): p. 347-53. 7. Millon, C., et al., Galanin (1-15) enhances the antidepressant effects of the 5-HT1A receptor agonist 8-OH-DPAT: involvement of the raphe-hippocampal 5-HT neuron system. Brain Struct Funct, 2016.

Propofol causes neuronal degeneration in neonatal mice and long-term neurocognitive consequences in adult mice

Purpose: To investigate the effect of propofol on brain development in neonatal mice and long-term neurocognitive impact in adult mice. Method: The offspring of female C57Bl/6 and male CD-1 mice were administered propofol at concentrations of 2.5 and 5.0 mg/kg (treatment group) or normal saline (control) on postnatal day 7. Thereafter, histological and immunohistochemical examinations were performed on the mice brain. Apoptotic assay, neuronal nuclei antigen immunohistochemistry (to assess neuron density), and behavioral and neurocognitive tests were conducted on the adult mice. Results: Propofol induced cellular degeneration and apoptosis in the brains of neonatal mice. It also modulated physiological parameters (pH, PO2, glucose and lactate), among which decreased blood glucose might be associated with cellular degeneration in the brain. Propofol also caused long-term neuronal deficits in adults, which showed impaired neurocognitive functions. Upon reaching adulthood, propofol-treated mice showed slow learning response and poor memory compared to controls. Conclusion: Propofol causes neurodegeneration in neonatal mice and has long-term neurocognitive consequences in adults, indicating that the use of propofol anesthetics in neonates requires careful consideration.

Fiber scaffolds of poly (glycerol-dodecanedioate) and its derivative via electrospinning for neural tissue engineering

Peripheral nerves have demonstrated the ability to bridge gaps of up to 6 mm. Peripheral Nerve System injury sites beyond this range need autograft or allograft surgery. Central Nerve System cells do not allow spontaneous regeneration due to the intrinsic environmental inhibition. Although stem cell therapy seems to be a promising approach towards nerve repair, it is essential to use the distinct three-dimensional architecture of a cell scaffold with proper biomolecule embedding in order to ensure that the local environment can be controlled well enough for growth and survival. Many approaches have been developed for the fabrication of 3D scaffolds, and more recently, fiber-based scaffolds produced via the electrospinning have been garnering increasing interest, as it offers the opportunity for control over fiber composition, as well as fiber mesh porosity using a relatively simple experimental setup. All these attributes make electrospun fibers a new class of promising scaffolds for neural tissue engineering. Therefore, the purpose of this doctoral study is to investigate the use of the novel material PGD and its derivative PGDF for obtaining fiber scaffolds using the electrospinning. The performance of these scaffolds, combined with neural lineage cells derived from ESCs, was evaluated by the dissolvability test, Raman spectroscopy, cell viability assay, real time PCR, Immunocytochemistry, extracellular electrophysiology, etc. The newly designed collector makes it possible to easily obtain fibers with adequate length and integrity. The utilization of a solvent like ethanol and water for electrospinning of fibrous scaffolds provides a potentially less toxic and more biocompatible fabrication method. Cell viability testing demonstrated that the addition of gelatin leads to significant improvement of cell proliferation on the scaffolds. Both real time PCR and Immunocytochemistry analysis indicated that motor neuron differentiation was achieved through the high motor neuron gene expression using the metabolites approach. The addition of Fumaric acid into fiber scaffolds further promoted the differentiation. Based on the results, this newly fabricated electrospun fiber scaffold, combined with neural lineage cells, provides a potential alternate strategy for nerve injury repair.^

Regulation of electrical transmission by protein kinase C in Aplysia bag cell neurons

Electrical synapses are composed of gap junctions, made from paired hemi-channels that allow for the transfer of current from one neuron to another. Gap junctions mediate electrical transmission in neurons, where they synchronize spiking and promote rapid transmission, thereby influencing the coordination, pattern, and frequency of firing. In the marine snail, Aplysia calfornica, two clusters of neuroendocrine bag cell neurons use electrical synapses to synchronize a 30-min burst of action potentials, known as the afterdischarge, which releases egg-laying hormone and induces reproduction. In culture, paired bag cell neurons present a junctional conductance that is non-rectifying and largely voltage-independent. During the afterdischarge, PKC is activated, which is known to increase voltage-gated Ca2+ current; yet, little is understood as to how this pathway impacts electrical transmission. The transfer of presynaptic spike-like waveforms (generated in voltage-clamp) to the postsynaptic cell (measured in current-clamp) was monitored with or without PKC activation. It was found that pretreatment with the PKC activator, phorbol-12-myristate-13-acetate (PMA), enhanced junctional conductance between bag cell neurons. Furthermore, in control, presynaptic action potential waveforms mainly evoked postsynaptic electrotonic potentials at both -60 and -40 mV. However, with PKC activation the presynaptic stimulus consistently elicited postsynaptic action potentials from resting potentials of -40 mV, and would occasionally result in firing from repetitive input at -60 mV. Moreover, to assess whether this enhanced electrical transmission genuinely reflects a greater junctional conductance or a change in postsynaptic responsiveness, a fast-phase junctional-like current was applied to single bag cell neurons. Neurons in PMA always fired action potentials in response to current injection as opposed to control, which were less likely to spike. This outcome did not change when the junctional-like current was artificially enhanced in control conditions. Also, in response to fast- and slow-phase electrotonic potential (ETP) waveforms, Ca2+ current was markedly larger in single PMA-treated neurons. These findings suggest that PKC activation may contribute to afterdischarge fidelity by recruiting postsynaptic Ca2+ current to promote synchronous network firing. Finally, Aplysia gap junction genes (innexins) were transfected into mouse N2A cells and characterized. This revealed a biophysical and pharmacological profile similar to native gap junctions.

The epigenome as a therapeutic target for Parkinson's disease

Parkinson’s disease (PD) is a common, progressive neurodegenerative disease characterised by degeneration of nigrostriatal dopaminergic neurons, aggregation of α-synuclein and motor symptoms. Current dopamine-replacement strategies provide symptomatic relief, however their effectiveness wear off over time and their prolonged use leads to disabling side-effects in PD patients. There is therefore a critical need to develop new drugs and drug targets to protect dopaminergic neurons and their axons from degeneration in PD. Over recent years, there has been robust evidence generated showing that epigenetic dysregulation occurs in PD patients, and that epigenetic modulation is a promising therapeutic approach for PD. This article first discusses the present evidence implicating global, and dopaminergic neuron-specific, alterations in the methylome in PD, and the therapeutic potential of pharmacologically targeting the methylome. It then focuses on another mechanism of epigenetic regulation, histone acetylation, and describes how the histone acetyltransferase (HAT) and histone deacetylase (HDAC) enzymes that mediate this process are attractive therapeutic targets for PD. It discusses the use of activators and/or inhibitors of HDACs and HATs in models of PD, and how these approaches for the selective modulation of histone acetylation elicit neuroprotective effects. Finally, it outlines the potential of employing small molecule epigenetic modulators as neuroprotective therapies for PD, and the future research that will be required to determine and realise this therapeutic potential.

Neurodegeneration and the m-AAA protease: pathogenic cascades in neurons and myelinating cells

The m-AAA protease is a hexameric complex involved in processing of specific substrates and turnover of misfolded polypeptides in the mitochondrial inner membrane. In humans, the m-AAA protease is composed of AFG3L2 and paraplegin. Mutations in AFG3L2 have been implicated in dominant spinocerebellar ataxia (SCA28) and recessive spastic ataxia-neuropathy syndrome (SPAX5). Mutations of SPG7, encoding paraplegin, are linked to hereditary spastic paraplegia. In the mouse, a third subunit AFG3L1 is expressed. Various mouse models recapitulate the phenotype of these neurodegenerative disorders, however, the pathogenic mechanism of neurodegeneration is not completely understood. Here, we studied several mouse models and focused on cell-autonomous role of the m-AAA protease in neurons and myelinating cells. We show that lack of Afg3l2 triggers mitochondrial fragmentation and swelling, tau hyperphosphorylation and pathology in Afg3l2 full-body and forebrain neuron-specific knockout mice. Moreover, deletion of Afg3l2 in adult myelinating cells causes early-onset mitochondrial abnormalities as in the neurons, but the survival of these cells is not affected, which is a contrast to early neuronal death. Despite the fact that myelinating cells have been previously shown to survive respiratory deficiency by glycolysis, total ablation of the m-AAA protease by deleting Afg3l2 in an Afg3l1 null background (DKO), leads to myelinating cell demise and subsequently progressive axonal demyelination. Interestingly, DKO mice show premature hair greying due to loss of melanoblasts. Together, our data demonstrate cell-autonomous survival thresholds to m-AAA protease deficiency, and an essential role of the m-AAA protease to prevent cell death independent from mitochondrial dynamics and the oxidative capacity of the cell. Thus, our findings provide novel insights to the pathogenesis of diseases linked to m-AAA protease deficiency, and also establish valuable mitochondrial dysfunctional mouse models to study other neurodegenerative diseases, such as tauopathies and demyelinating diseases.