Activation of GABAA receptors controls mesiotemporal lobe epilepsy despite changes in chloride transporters expression: In vivo and in silico approach.

Mesiotemporal lobe Epilepsy (MTLE), the most frequent form of focal epilepsy, is often drug-resistant. Enriching the epileptic focus with GABA-releasing engineered cells has been proposed as a strategy to prevent seizures. However, ex vivo data from animal models and MTLE patients suggest that, due to changes in chloride homeostasis, GABAA receptor activation is depolarizing and partly responsible for focal interictal discharges and seizure initiation. To understand how these two contradictory aspects of GABAergic neurotransmission coexist in MTLE, we used an established mouse model of MTLE presenting hippocampal sclerosis and recurrent hippocampal paroxysmal discharges (HPDs) 30-40days after a unilateral injection of kainate in the dorsal hippocampus. We first showed that injections of GABAA receptor agonists either systemically or directly into hippocampus suppressed HPDs. Western-blotting and immunostaining revealed that levels of α1, α3 and γ2 GABAA receptor subunits were increased in epileptic mice, compared to saline controls, while levels of R1 and R2 GABAB receptor subunits but also NR1, NR2A and NR2B NMDA receptor subunits and GluR1 and GluR2 AMPA receptor subunits were decreased. In addition, we showed that the expression of the transporter NKCC1, which load neurons with chloride, was increased, whereas KCC2, a chloride extruder, was decreased and that HPDs were suppressed by injection of blockers of NKCC1. These different changes were integrated in a numerical model, and in silico simulations supported the notion that chloride imbalance impair local inhibitory control of pyramidal neurons' activity in this model of MTLE. However, our numerical model also suggested that lasting activation of these receptors restore physiological intracellular chloride concentrations and suppress HPDs. Overall, our study suggests that activation of GABAA receptor remains an effective antiepileptic strategy to suppress focal seizures in MTLE, and demonstrates that modeling and simulation studies provide new insights about the cellular and synaptic mechanisms of this disease.

Modeling and simulation of organophosphate-induced neurotoxicity: Prediction and validation by experimental studies.

Exposure to organophosphorus (OP) compounds, either pesticides or chemical warfare agents, represents a major health problem. As potent irreversible inhibitors of cholinesterase, OP may induce seizures, as in status epilepticus, and occasionally brain lesions. Although these compounds are extremely toxic agents, the search for novel antidotes remains extremely limited. In silico modeling constitutes a useful tool to identify pharmacological targets and to develop efficient therapeutic strategies. In the present work, we developed a new in silico simulator in order to predict the neurotoxicity of irreversible inhibitors of acetyl- and/or butyrylcholinesterase (ChE) as well as the potential neuroprotection provided by antagonists of cholinergic muscarinic and glutamate N-methyl-d-aspartate (NMDA) receptors. The simulator reproduced firing of CA1 hippocampal neurons triggered by exposure to paraoxon (POX), as found in patch-clamp recordings in in vitro mouse hippocampal slices. In the case of POX intoxication, it predicted a preventing action of the muscarinic receptor antagonist atropine sulfate, as well as a synergistic action with the non-competitive NMDA receptor antagonist memantine. These in silico predictions relative to beneficial effects of atropine sulfate combined with memantine were recapitulated experimentally in an in vivo model of POX in adult male Swiss mice using electroencephalic (EEG) recordings. Thus, our simulator is a new powerful tool to identify protective therapeutic strategies against OP central effects, by screening various combinations of muscarinic and NMDA receptor antagonists.

Combinations of ketamine and atropine are neuroprotective and reduce neuroinflammation after a toxic status epilepticus in mice.

Epileptic seizures and status epilepticus (SE) induced by the poisoning with organophosphorus nerve agents (OP), like soman, are accompanied by neuroinflammation whose role in seizure-related brain damage (SRBD) is not clear. Antagonists of the NMDA glutamate ionotropic receptors are currently among the few compounds able to arrest seizures and provide neuroprotection even during refractory status epilepticus (RSE). Racemic ketamine (KET), in combination with atropine sulfate (AS), was previously shown to counteract seizures and SRBD in soman-poisoned guinea-pigs. In a mouse model of severe soman-induced SE, we assessed the potentials of KET/AS combinations as a treatment for SE/RSE-induced SRBD and neuroinflammation. When starting 30min after soman challenge, a protocol involving six injections of a sub-anesthetic dose of KET (25mg/kg) was evaluated on body weight loss, brain damage, and neuroinflammation whereas during RSE, anesthetic protocols were considered (KET 100mg/kg). After confirming that during RSE, KET injection was to be repeated despite some iatrogenic deaths, we used these proof-of-concept protocols to study the changes in mRNA and related protein contents of some inflammatory cytokines, chemokines and adhesion molecules in cortex and hippocampus 48h post-challenge. In both cases, the KET/AS combinations showed important neuroprotective effects, suppressed neutrophil granulocyte infiltration and partially suppressed glial activation. KET/AS could also reduce the increase in mRNA and related pro-inflammatory proteins provoked by the poisoning. In conclusion, the present study confirms that KET/AS treatment has a strong potential for SE/RSE management following OP poisoning. The mechanisms involved in the reduction of central neuroinflammation remain to be studied.

Modeling of the nervous system: from modulation of glutamatergic and gabaergic molecular dynamics to neuron spiking activity.

One of the fundamental characteristics of the brain is its hierarchical and temporal organization: scales in both space and time must be considered to fully grasp the system's underlying mechanisms and their impact on brain function. Complex interactions taking place at the molecular level regulate neuronal activity that further modifies the function of millions of neurons connected by trillions of synapses, ultimately giving rise to complex function and behavior at the system level. Likewise, the spatial complexity is accompanied by a complex temporal integration of events taking place at the microsecond scale leading to slower changes occurring at the second, minute and hour scales. These integrations across hierarchies of the nervous system are sufficiently complex to have impeded the development of routine multi-level modeling methodologies. The present study describes an example of our multiscale efforts to rise from the biomolecular level to the neuron level. We more specifically describe how we integrate biomolecular mechanisms taking place at glutamatergic and gabaergic synapses and integrate them to study the impact of these modifications on spiking activity of a CA1 pyramidal cell in the hippocampus.

Simulation of postsynaptic glutamate receptors reveals critical features of glutamatergic transmission.

Activation of several subtypes of glutamate receptors contributes to changes in postsynaptic calcium concentration at hippocampal synapses, resulting in various types of changes in synaptic strength. Thus, while activation of NMDA receptors has been shown to be critical for long-term potentiation (LTP) and long term depression (LTD) of synaptic transmission, activation of metabotropic glutamate receptors (mGluRs) has been linked to either LTP or LTD. While it is generally admitted that dynamic changes in postsynaptic calcium concentration represent the critical elements to determine the direction and amplitude of the changes in synaptic strength, it has been difficult to quantitatively estimate the relative contribution of the different types of glutamate receptors to these changes under different experimental conditions. Here we present a detailed model of a postsynaptic glutamatergic synapse that incorporates ionotropic and mGluR type I receptors, and we use this model to determine the role of the different receptors to the dynamics of postsynaptic calcium with different patterns of presynaptic activation. Our modeling framework includes glutamate vesicular release and diffusion in the cleft and a glutamate transporter that modulates extracellular glutamate concentration. Our results indicate that the contribution of mGluRs to changes in postsynaptic calcium concentration is minimal under basal stimulation conditions and becomes apparent only at high frequency of stimulation. Furthermore, the location of mGluRs in the postsynaptic membrane is also a critical factor, as activation of distant receptors contributes significantly less to calcium dynamics than more centrally located ones. These results confirm the important role of glutamate transporters and of the localization of mGluRs in postsynaptic sites in their signaling properties, and further strengthen the notion that mGluR activation significantly contributes to postsynaptic calcium dynamics only following high-frequency stimulation. They also provide a new tool to analyze the interactions between metabotropic and ionotropic glutamate receptors.

Inflammatory changes during epileptogenesis and spontaneous seizures in a mouse model of mesiotemporal lobe epilepsy.

PURPOSE: Neuroinflammation appears as a prominent feature of the mesiotemporal lobe epilepsy syndrome (MTLE) that is observed in human patients and animal models. However, the precise temporal relationship of its development during epileptogenesis remains to be determined. The aim of the present study was to investigate (1) the time course and spatial distribution of neuronal death associated with seizure development, (2) the time course of microglia and astrocyte activation, and (3) the kinetics of induction of mRNAs from neuroinflammatory-related proteins during the emergence of recurrent seizures. METHODS: Experimental MTLE was induced by the unilateral intrahippocampal injection of kainate in C57BL/6 adult mice. Microglial and astrocytic changes in both ipsilateral and contralateral hippocampi were examined by respectively analyzing griffonia simplicifolia (GSA) lectin staining and glial fibrillary acidic protein (GFAP) immunoreactivity. Changes in mRNA levels of selected genes of cytokine and cytokine regulatory proteins (interleukin-1ß, IL-1ß; interleukin-1 receptor antagonist, IL-1Ra; suppressor of cytokine signaling 3, SOCS3) and enzymes of the eicosanoid pathway (group IVA cytosolic phospholipase A2, cPLA(2)-α; cycloxygenase-2, COX-2) were studied by reverse transcription-quantitative real time polymerase chain reaction. KEY FINDINGS: Our data show an immediate cell death occurring in the kainate-injected hippocampus during the initial status epilepticus (SE). A rapid increase of activated lectin-positive cells and GFAP-immunoreactivity was subsequently detected in the ipsilateral hippocampus. In the same structure, Il-1ß, IL-1Ra, and COX-2 mRNA were specifically increased during SE and epileptogenesis with a different time course. Conversely, the expression of SOCS3 mRNA, a surrogate marker of interleukin signaling, was mainly increased in the contralateral hippocampus after SE. SIGNIFICANCE: Our data show that specific neuroinflammatory pathways are activated in a time- and structure-dependent manner with putative distinct roles in epileptogenesis.

Modeling of the nervous system: from molecular dynamics and synaptic modulation to neuron spiking activity.

The brain is a perfect example of an integrated multi-scale system, as the complex interactions taking place at the molecular level regulate neuronal activity that further modifies the function of millions of neurons connected by trillions of synapses, ultimately giving rise to complex function and behavior at the system level. Likewise, the spatial complexity is accompanied by a complex temporal integration of events taking place at the microsecond scale leading to slower changes occurring at the second, minute and hour scales. In the present study we illustrate our approach to model and simulate the spatio-temporal complexity of the nervous system by developing a multi-scale model integrating synaptic models into the neuronal and ultimately network levels. We apply this approach to a concrete example and demonstrate how changes at the level of kinetic parameters of a receptor model are translated into significant changes in the firing of a pyramidal neuron. These results illustrate the abilities of our modeling approach and support its direct application to the evaluation of the effects of drugs, from functional target to integrated system.

Selection of reference genes for real-time quantitative reverse transcription-polymerase chain reaction in hippocampal structure in a murine model of temporal lobe epilepsy with focal seizures.

Reference genes are often used to normalize expression of data from real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR), and only a validation of their stability during a given experimental paradigm leads to reliable interpretations. The present study was thus designed to validate potential reference genes in a mouse model of mesiotemporal lobe epilepsy (MTLE) with focal seizures after unilateral intrahippocampal injection of kainate (KA). Ipsilateral and contralateral hippocampi were removed during nonconvulsive status epilepticus (5 hr), epileptogenesis (7 days), and the chronic period of recurrent focal seizures (21 days). Naive animals were equally studied. The stability of eight potential reference genes (hypoxanthine phosphoribosyltransferase, Hprt1; peptidylprolyl isomerase A, Ppia; TATA box binding protein, Tbp; beta-actin, Actb; acidic ribosomal phosphoprotein P0, Arbp; glyceraldehyde-3-phosphate dehydrogenase, Gapdh; ribosomal RNA 18S, 18S rRNA; and glucuronidase beta, Gusb) were determined using geNorm and NormFinder software. The first five (Hprt1, Ppia, Tbp, Actb, and Arbp) were found to be stable across the different phases of the disease and appeared adequate for normalizing RT-qPCR data in this model. This was in contrast to the other three (18S rRNA, Gapdh, and Gusb), which showed unstable expressions and should be avoided. The analysis of KA-induced changes in the expression of glial fibrillary acidic protein (Gfap) gene resulted in various relative expressions or even a completely different pattern when unstable reference genes were used. These results highlight the absolute need to validate the reference genes for a correct interpretation of mRNA quantification.