62 research outputs found

    Specialized astrocytes mediate glutamatergic gliotransmission in the CNS

    Get PDF
    Multimodal astrocyte–neuron communications govern brain circuitry assembly and function1. For example, through rapid glutamate release, astrocytes can control excitability, plasticity and synchronous activity2,3 of synaptic networks, while also contributing to their dysregulation in neuropsychiatric conditions4–7. For astrocytes to communicate through fast focal glutamate release, they should possess an apparatus for Ca2+-dependent exocytosis similar to neurons8–10. However, the existence of this mechanism has been questioned11–13 owing to inconsistent data14–17 and a lack of direct supporting evidence. Here we revisited the astrocyte glutamate exocytosis hypothesis by considering the emerging molecular heterogeneity of astrocytes18–21 and using molecular, bioinformatic and imaging approaches, together with cell-specific genetic tools that interfere with glutamate exocytosis in vivo. By analysing existing single-cell RNA-sequencing databases and our patch-seq data, we identified nine molecularly distinct clusters of hippocampal astrocytes, among which we found a notable subpopulation that selectively expressed synaptic-like glutamate-release machinery and localized to discrete hippocampal sites. Using GluSnFR-based glutamate imaging22 in situ and in vivo, we identified a corresponding astrocyte subgroup that responds reliably to astrocyte-selective stimulations with subsecond glutamate release events at spatially precise hotspots, which were suppressed by astrocyte-targeted deletion of vesicular glutamate transporter 1 (VGLUT1). Furthermore, deletion of this transporter or its isoform VGLUT2 revealed specific contributions of glutamatergic astrocytes in cortico-hippocampal and nigrostriatal circuits during normal behaviour and pathological processes. By uncovering this atypical subpopulation of specialized astrocytes in the adult brain, we provide insights into the complex roles of astrocytes in central nervous system (CNS) physiology and diseases, and identify a potential therapeutic target

    Use of structure-activity landscape index curves and curve integrals to evaluate the performance of multiple machine learning prediction models

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Standard approaches to address the performance of predictive models that used common statistical measurements for the entire data set provide an overview of the average performance of the models across the entire predictive space, but give little insight into applicability of the model across the prediction space. Guha and Van Drie recently proposed the use of structure-activity landscape index (SALI) curves via the SALI curve integral (SCI) as a means to map the predictive power of computational models within the predictive space. This approach evaluates model performance by assessing the accuracy of pairwise predictions, comparing compound pairs in a manner similar to that done by medicinal chemists.</p> <p>Results</p> <p>The SALI approach was used to evaluate the performance of continuous prediction models for MDR1-MDCK <it>in vitro </it>efflux potential. Efflux models were built with ADMET Predictor neural net, support vector machine, kernel partial least squares, and multiple linear regression engines, as well as SIMCA-P+ partial least squares, and random forest from Pipeline Pilot as implemented by AstraZeneca, using molecular descriptors from <it>SimulationsPlus </it>and AstraZeneca.</p> <p>Conclusion</p> <p>The results indicate that the choice of training sets used to build the prediction models is of great importance in the resulting model quality and that the SCI values calculated for these models were very similar to their Kendall Ï„ values, leading to our suggestion of an approach to use this SALI/SCI paradigm to evaluate predictive model performance that will allow more informed decisions regarding model utility. The use of SALI graphs and curves provides an additional level of quality assessment for predictive models.</p

    Hippocampus versus entorhinal cortex decoupling by an NR2 subunit-specific block of NMDA receptors in a rat in vitro model of temporal lobe epilepsy

    No full text
    The role of N-methyl-D-aspartate receptors (NMDARs) in the generation and maintenance of epileptic seizures has been widely investigated, however, little is known of possible separate roles played by NMDARs that contain different NR2 subunits. A better comprehension of how distinct NMDARs subtypes participate in seizure generation and/or diffusion may lead to the development of more targeted pharmacologic strategies to treat epilepsy. Therefore, we have performed an electrophysiologic investigation using a multielectrode array device, on slices comprising entorhinal cortex (EC) and hippocampus, continuously perfused in a Mg(2+) -free medium, with added 4-aminopiridine (4AP; 10-15 μm). Two separate rhythmic patterns of interictal-like activity were generated in EC and hippocampus, with EC seizures entrained to those in CA3, so that a significant degree of cross-correlation occurred. Perfusion with the NR2A-containing NMDAR antagonist [(R)-[(S)-1-(4-bromo-phenyl)-ethylamino]-(2,3-dioxo-1,2,3,4-tetrahydroquinoxalin-5-yl)-methyl]-phosphonic acid (NVP-AAM077; 50 nm) or Zn(2+) (200 nm), did not affect the rate of interictal-like events in EC and hippocampus; however, it significantly reduced their cross-correlation, causing a substantial decoupling of the two rhythm generators. The same effect was observed with (αR,βS)-α-(4-hydroxyphenyl)-β-methyl-4-(phenylmethyl)-1-piperidinepropanol maleate (Ro25-6981; 1 μm), when coapplied with a subthreshold dose of NVP-AAM077. Our results suggest that NR2 subunits may be crucial in entraining cortical networks, leading to recruitment of wider range oscillations during epilepsy. Therefore, a pharmacologic strategy directed onto NR2 subunits may help to limit seizure diffusion and recruitment of potentially entrained oscillatory networks

    Protease-activated receptor 1 (PAR1) inhibits synaptic NMDARs in mouse nigral dopaminergic neurons

    No full text
    Protease-activated receptor 1 (PAR1) is a G protein-coupled receptor (GPCR), whose activation requires a proteolytic cleavage in the extracellular domain exposing a tethered ligand, which binds to the same receptor thus stimulating G\u3b1q/11-, G\u3b1i/o- and G\u3b112 1213 proteins. PAR1, activated by serine proteases and matrix metalloproteases, plays multifaceted roles in neuroinflammation and neurodegeneration, in stroke, brain trauma, Alzheimer's diseases, and Parkinson's disease (PD). Substantia nigra pars compacta (SNpc) is among areas with highest PAR1 expression, but current evidence on its roles herein is restricted to mechanisms controlling dopaminergic (DAergic) neurons survival, with controversial data showing PAR1 either fostering or counteracting degeneration in PD models. Since PAR1 functions on SNpc DAergic neurons activity are unknown, we investigated if PAR1 affects glutamatergic transmission in this neuronal population. We analyzed PAR1\u2019s effects on NMDARs and AMPARs by patch-clamp recordings from DAergic neurons from mouse midbrain slices. Then, we explored subunit composition of PAR1-sensitive NMDARs, with selective antagonists, and mechanisms underlying PAR1-induced NMDARs modulation, by quantifying NMDARs surface expression. PAR1 activation inhibits synaptic NMDARs in SNpc DAergic neurons, without affecting AMPARs. PAR1-sensitive NMDARs contain GluN2B/GluN2D subunits. Moreover, PAR1-mediated NMDARs hypofunction is reliant on NMDARs internalization, as PAR1 stimulation increases NMDARs intracellular levels and pharmacological limitation of NMDARs endocytosis prevents PAR1-induced NMDARs inhibition. We reveal that PAR1 regulates glutamatergic transmission in midbrain DAergic cells. This might have implications in brain's DA-dependent functions and in neurological/psychiatric diseases linked to DAergic dysfunctions

    A continuous high frequency stimulation of the subthalamic nucleus determines a suppression of excitatory synaptic transmission in nigral dopaminergic neurons recorded in vitro

    No full text
    High frequency stimulation of the subthalamic nucleus (HFS-STN) has been successfully introduced to treat symptoms of advanced Parkinson's disease (PD) (rigidity, tremor and akinesia). In spite of its extensive clinical practice, little is known at cellular level about the effects of a continuous train of electrical stimuli (>100 Hz) delivered in the STN. In this manuscript we examine the synaptic responses of substantia nigra pars compacta (SNpc) dopaminergic cells, upon continuous HFS-STN delivered in a rat brain slice preparation. We report that HFS-STN, delivered at frequencies resembling those used during DBS (100-130 Hz), caused synaptic responses in SNpc dopaminergic neurons, which summated progressively, until they reached a plateau within few tens of ms. However, if the HFS was maintained, a rapid fading of the synaptic response was observed, with an almost complete loss after 10s. Accordingly, the postsynaptic excitability, evaluated by the tonic firing rate of the SNpc dopaminergic neurons, remained unaltered during a continuous HFS-STN. Upon HFS termination, there was a rapid recovery of synaptic function. Neither a converging synaptic input, evoked by intranigral stimulation, nor the depolarizing responses to locally-applied AMPA, were affected during HFS. The loss of synaptic response by continuous HFS-STN was not prevented by inhibition of AMPA receptor desensitization, nor by antagonists of a variety of neurotransmitter receptors, known to depress synaptic transmission in the SNpc. We conclude that a HFS in the STN, with patterns resembling in vivo DBS, induces a rapid and input-specific suppression of the synaptic transmission from STN to SNpc dopaminergic neurons, that is maintained during an ongoing stimulation. The deficit of transmission between the STN and the SNpc could have a role in the therapeutic effects of the DBS procedure

    Stimulation of Delta Opioid Receptor and Blockade of Nociceptin/Orphanin FQ Receptor Synergistically Attenuate Parkinsonism

    No full text
    Delta opioid peptide (DOP) receptors are considered a therapeutic target in Parkinson’s disease, although the use of DOP agonists may be limited by side effects, including convulsions. To circumvent this issue, we evaluated whether blockade of nociceptin/orphanin FQ (N/OFQ) tone potentiated the antiparkinsonian effects of DOP agonists, thus allowing for reduction of their dosage. Systemic administration of the N/OFQ receptor (NOP) antagonist J-113397 [(3R,4R)-1-cyclooctylmethyl-3-hydroxymethyl-4-piperidyl]-3- ethyl-1,3-dihydro-2H benzimidazol-2-one] and the DOP receptor agonist SNC-80 [()-4-[(R)--(2S,5R)-allyl-2,5-dimethyl-1- piperazinyl)-3-methoxy-benzyl]-N-N-diethylbenzamide] revealed synergistic attenuation of motor deficits in 6-hydroxydopamine hemilesioned rats and 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-treated mice. In this model, repeated administration of the combination produced reproducible antiparkinsonian effects and was not associated with rescued striatal dopamine terminals. Microdialysis studies revealed that either systemic administration or local intranigral perfusion of J-113397 and SNC-80 led to the enhancement of nigral GABA, reduction of nigral Glu, and reduction of thalamic GABA levels, consistent with the view that NOP receptor blockade and DOP receptor stimulation caused synergistic overinhibition of nigro-thalamic GABA neurons. Whole-cell recording of GABA neurons in nigral slices confirmed that NOP receptor blockade enhanced the DOP receptor-induced effect on IPSCs via presynaptic mechanisms. Finally, SNC-80 more potently stimulated stepping activity in mice lacking the NOP receptor than wild-type controls, confirming the in vivo occurrence of an NOP–DOP receptor interaction. We conclude that endogenous N/OFQ functionally opposes DOP transmission in substantia nigra reticulata and that NOP receptor antagonists might be used in combination with DOP receptor agonists to reduce their dosage while maintaining their full therapeutic efficacy

    Grain Boundary Character Distribution Of Nanocrystalline Cu Thin Films Using Stereological Analysis Of Transmission Electron Microscope Orientation Maps

    No full text
    Abstract Stereological analysis has been coupled with transmission electron microscope (TEM) orientation mapping to investigate the grain boundary character distribution in nanocrystalline copper thin films. The use of the nanosized (\u3c5 nm) beam in the TEM for collecting spot diffraction patterns renders an order of magnitude improvement in spatial resolution compared to the analysis of electron backscatter diffraction patterns in the scanning electron microscope. Electron beam precession is used to reduce dynamical effects and increase the reliability of orientation solutions. The misorientation distribution function shows a strong misorientation texture with a peak at 60°/[111], corresponding to the Σ3 misorientation. The grain boundary plane distribution shows {111} as the most frequently occurring plane, indicating a significant population of coherent twin boundaries. This study demonstrates the use of nanoscale orientation mapping in the TEM to quantify the five-parameter grain boundary distribution in nanocrystalline materials. Copyright © Microscopy Society of America 2013
    • …
    corecore