54 research outputs found

    Criblage génétique et caractérisation fonctionnelle des mutations dans les différentes sous-unités du récepteur GABAA associées à l'épilepsie génétique généralisée

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    Les Ă©pilepsies gĂ©nĂ©tiques gĂ©nĂ©ralisĂ©es (ÉGGs) sont un groupe de syndromes Ă©pileptiques hĂ©tĂ©rogĂšnes qui se manifestent habituellement durant les pĂ©riodes de l’enfance et de l’adolescence. Les ÉGGs reprĂ©sentent 30% de toutes les Ă©pilepsies. Il n’existe prĂ©sentement aucun remĂšde Ă  l’épilepsie gĂ©nĂ©tique gĂ©nĂ©ralisĂ©e. Au sein de ce groupe d’épilepsies, les sujets sont le plus souvent dĂ©pourvus de lĂ©sions cĂ©rĂ©brales, ce qui signifie que les facteurs gĂ©nĂ©tiques jouent un rĂŽle important dans l’étiologie de la maladie. Au cours des derniĂšres annĂ©es, plusieurs gĂšnes impliquĂ©s dans des formes familiales d’ÉGG ont Ă©tĂ© identifiĂ©s. La majoritĂ© d'entre elles codent pour des canaux ioniques incluant le rĂ©cepteur-ligand GABAA (RGABAA). De ce groupe, des mutations ont Ă©tĂ© identifiĂ©es dans quatre sous-unitĂ©s du rĂ©cepteur GABAA. Dans un premier temps, l’objectif gĂ©nĂ©ral de cette thĂšse vise l’évaluation de la composante gĂ©nĂ©tique de notre cohorte d’ÉGG expliquĂ©e par les gĂšnes codant pour les sous-unitĂ©s du rĂ©cepteur GABAA. Puis, dans un second souffle, le rĂŽle des variants identifiĂ©s est dĂ©fini et analysĂ© afin de mieux cerner leurs impacts dans la pathogĂ©nĂšse de ce phĂ©notype. La premiĂšre partie du projet consiste en une analyse exhaustive des mutations existantes dans la partie codante des 19 gĂšnes GABRA pour des patients atteints d’ÉGG. En criblant des familles quĂ©bĂ©coises avec ÉGG, nous avons identifiĂ© 22 variants rares incluant 19 faux-sens et 3 non-sens dans 14 sous-unitĂ©s du RGABAA. En sĂ©quençant ces gĂšnes dans une grande cohorte de cas et de contrĂŽles, nous avons Ă©tabli le profil des variations rares pour ceux-ci. Ces donnĂ©es suggĂšrent qu’une proportion significative (8%) des patients atteints d’ÉGG ont des variants rares sur les gĂšnes du RGABAA. La deuxiĂšme partie porte directement sur certains gĂšnes identifiĂ©s lors de la premiĂšre partie. De ce groupe, cinq nouvelles mutations ont Ă©tĂ© dĂ©couvertes dans des gĂšnes dĂ©jĂ  associĂ©s Ă  l’épilepsie (GABRA1 et GABRG2). Nous avons constatĂ© l’impact de ces mutations dans les mĂ©canismes gĂ©nĂ©tiques de l’épilepsie, en mesurant les effets des variants sur la structure et la fonction du rĂ©cepteur GABAA. La troisiĂšme partie se concentre sur notre hypothĂšse, voulant que les RGABAA mutants altĂšrent l’effet du GABA durant le dĂ©veloppement du systĂšme nerveux central (SNC). L’objectif principal vise Ă  dĂ©terminer la contribution relative de chacune des sous-unitĂ©s mutĂ©es dans le dĂ©veloppement du SNC. Ainsi, nous avons dĂ©montrĂ© qu’une telle perte de fonction a un impact significatif sur le dĂ©veloppement des synapses GABAergiques et glutamatergiques ainsi que sur la plasticitĂ© des circuits corticaux. Nos rĂ©sultats nous ont permis de prĂ©ciser comment les mutations dans les gĂšnes GABRA peuvent mener Ă  l’ÉGG. Éventuellement, la caractĂ©risation molĂ©culaire de ces mutations contribuera Ă  l’élaboration de nouveaux outils diagnostiques et facilitera la mise au point de traitements mieux ciblĂ©s pour les gens atteints de cette condition neurologique chronique.Genetic generalized epilepsy (GGE) syndrome is a group of epilepsy disorders that occur early in childhood and adolescence. Genetics generalized epilepsies (GGE) account for approximately 30 % of all epilepsy syndromes. There is currently no cure for GGE. Although patients with GGE typically have no anatomical brain abnormalities, the root cause of these conditions is considered to be genetic in origin. An increasing number of genes predisposing to epilepsy have been identified over the past ten years. It has emerged in many cases that the causative genes for inherited epilepsies code for ion-channels such as the GABAA receptor (GABAAR). Among these genes, mutations in four subunits of the GABAA receptor appear to be an important cause of familial epilepsy. The main aim of the present thesis is to better characterize the genetic component of our GGE cohort explain by GABRA genes and evaluated the critical role of these variants in the pathogenesis of this phenotype. The first part of our project was to investigate the impact of rare variants of GABAAR in GGE, we screened the coding regions of 19 genes encoding for all the known subunits of the GABAAR in unrelated GGE patients, including familial cases. Overall, approximately 8% of our GGE individuals have novel GABRA mutations, including 19 missenses and 3 nonsenses including 1 frameshift mutation. By sequencing those genes in a large cohort of cases and controls, we were able to establish the profile of rare variants for these genes. Our data suggest that a significant proportion of GGE patients share rare variants in GABRA genes. The second part of the work builds on the genes bearing mutations identified in the sequencing analysis. Among this group, five novel mutations have been so far associated to this syndrome (GABRA1 and GABRG2). We characterized the gating properties of GABA-evoked currents and the subcellular localization of the mutated subunits by expressing recombinant GABAA receptors in vitro. The third part of the work aimed to characterize the impact of mutated GABAA receptors on synapse formation and development of neuronal networks. By knocking down these genes in cortical organotypic slices, we provided a better understanding of the specific and distinct neural circuit alterations caused by different GABRA1 mutations and help define the pathophysiology of genetic generalized epilepsy syndromes. We believe that these findings will allow a better understanding of the genetic mechanisms underlying the disease and involve mutations in GABAA receptors in critical mechanisms leading to epilepsy. Eventually, our results could lead to a better diagnosis and counteract the devastating effects of some GGEs early on before this complex condition has had the opportunity to be established

    Reducing cannabis use in young adults with psychosis using iCanChange, a mobile health app : protocol for a pilot randomized controlled trial (ReCAP-iCC)

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    Background: Cannabis use is the most prevalent among adolescents and young adults; frequent consumption is associated with cannabis use disorder (CUD) and psychosis, with a high prevalence (up to 50%) of CUD in individuals with first-episode psychosis (FEP). Early Intervention Services (EIS) for psychosis include face-to-face psychosocial interventions for CUD, because reducing or discontinuing cannabis use improves clinical and health care service use outcomes. However, multiple barriers (eg, staff availability and limited access to treatment) can hinder the implementation of these interventions. Mobile health (mHealth) interventions may help circumvent some of these barriers; however, to date, no study has evaluated the effects of mHealth psychological interventions for CUD in individuals with FEP. Objective: This study describes the protocol for a pilot randomized controlled trial using a novel mHealth psychological intervention (iCanChange [iCC]) to address CUD in young adults with FEP. iCC was developed based on clinical evidence showing that in individuals without psychosis, integrating the principles of cognitive behavioral therapy, motivational interviewing, and behavioral self-management approaches are effective in improving cannabis use–related outcomes. Methods: Consenting individuals (n=100) meeting the inclusion criteria (eg, aged 18-35 years with FEP and CUD) will be randomly allocated in a 1:1 ratio to the intervention (iCC+modified EIS) or control (EIS) group. The iCC is fully automatized and contains 21 modules that are completed over a 12-week period and 3 booster modules available during the 3-month follow-up period. Validated self-report measures will be taken via in-person assessments at baseline and at 6, 12 (end point), and 24 weeks (end of trial); iCC use data will be collected directly from the mobile app. Primary outcomes are intervention completion and trial retention rates, and secondary outcomes are cannabis use quantity, participant satisfaction, app use, and trial recruiting parameters. Exploratory outcomes include severity of psychotic symptoms and CUD severity. For primary outcomes, we will use the chi-square test using data collected at week 12. We will consider participation in iCC acceptable if ≄50% of the participants complete at least 11 out of 21 intervention modules and the trial feasible if attrition does not reach 50%. We will use analysis of covariance and mixed-effects models for secondary outcomes and generalized estimating equation multivariable analyses for exploratory outcomes. Results: Recruitment began in July 2022, and data collection is anticipated to be completed in July 2024. The main results are expected to be submitted for publication in 2024. We will engage patient partners and other stakeholders in creating a multifaceted knowledge translation plan to reach a diverse audience. Conclusions: If feasible, this study will provide essential data for a larger-scale efficacy trial of iCC on cannabis use outcomes in individuals with FEP and CUD

    Rare coding variants in genes encoding GABA_A receptors in genetic generalised epilepsies: an exome-based case-control study

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    BACKGROUND: Genetic generalised epilepsy is the most common type of inherited epilepsy. Despite a high concordance rate of 80% in monozygotic twins, the genetic background is still poorly understood. We aimed to investigate the burden of rare genetic variants in genetic generalised epilepsy. METHODS: For this exome-based case-control study, we used three different genetic generalised epilepsy case cohorts and three independent control cohorts, all of European descent. Cases included in the study were clinically evaluated for genetic generalised epilepsy. Whole-exome sequencing was done for the discovery case cohort, a validation case cohort, and two independent control cohorts. The replication case cohort underwent targeted next-generation sequencing of the 19 known genes encoding subunits of GABAA receptors and was compared to the respective GABAA receptor variants of a third independent control cohort. Functional investigations were done with automated two-microelectrode voltage clamping in Xenopus laevis oocytes. FINDINGS: Statistical comparison of 152 familial index cases with genetic generalised epilepsy in the discovery cohort to 549 ethnically matched controls suggested an enrichment of rare missense (Nonsyn) variants in the ensemble of 19 genes encoding GABAA receptors in cases (odds ratio [OR] 2·40 [95% CI 1·41-4·10]; pNonsyn=0·0014, adjusted pNonsyn=0·019). Enrichment for these genes was validated in a whole-exome sequencing cohort of 357 sporadic and familial genetic generalised epilepsy cases and 1485 independent controls (OR 1·46 [95% CI 1·05-2·03]; pNonsyn=0·0081, adjusted pNonsyn=0·016). Comparison of genes encoding GABAA receptors in the independent replication cohort of 583 familial and sporadic genetic generalised epilepsy index cases, based on candidate-gene panel sequencing, with a third independent control cohort of 635 controls confirmed the overall enrichment of rare missense variants for 15 GABAA receptor genes in cases compared with controls (OR 1·46 [95% CI 1·02-2·08]; pNonsyn=0·013, adjusted pNonsyn=0·027). Functional studies for two selected genes (GABRB2 and GABRA5) showed significant loss-of-function effects with reduced current amplitudes in four of seven tested variants compared with wild-type receptors. INTERPRETATION: Functionally relevant variants in genes encoding GABAA receptor subunits constitute a significant risk factor for genetic generalised epilepsy. Examination of the role of specific gene groups and pathways can disentangle the complex genetic architecture of genetic generalised epilepsy. FUNDING: EuroEPINOMICS (European Science Foundation through national funding organisations), Epicure and EpiPGX (Sixth Framework Programme and Seventh Framework Programme of the European Commission), Research Unit FOR2715 (German Research Foundation and Luxembourg National Research Fund)

    Rare coding variants in genes encoding GABA(A) receptors in genetic generalised epilepsies : an exome-based case-control study

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    Background Genetic generalised epilepsy is the most common type of inherited epilepsy. Despite a high concordance rate of 80% in monozygotic twins, the genetic background is still poorly understood. We aimed to investigate the burden of rare genetic variants in genetic generalised epilepsy. Methods For this exome-based case-control study, we used three different genetic generalised epilepsy case cohorts and three independent control cohorts, all of European descent. Cases included in the study were clinically evaluated for genetic generalised epilepsy. Whole-exome sequencing was done for the discovery case cohort, a validation case cohort, and two independent control cohorts. The replication case cohort underwent targeted next-generation sequencing of the 19 known genes encoding subunits of GABA(A) receptors and was compared to the respective GABA(A) receptor variants of a third independent control cohort. Functional investigations were done with automated two-microelectrode voltage clamping in Xenopus laevis oocytes. Findings Statistical comparison of 152 familial index cases with genetic generalised epilepsy in the discovery cohort to 549 ethnically matched controls suggested an enrichment of rare missense (Nonsyn) variants in the ensemble of 19 genes encoding GABA(A) receptors in cases (odds ratio [OR] 2.40 [95% CI 1.41-4.10]; p(Nonsyn)=0.0014, adjusted p(Nonsyn)=0.019). Enrichment for these genes was validated in a whole-exome sequencing cohort of 357 sporadic and familial genetic generalised epilepsy cases and 1485 independent controls (OR 1.46 [95% CI 1.05-2.03]; p(Nonsyn)=0.0081, adjusted p(Nonsyn)=0.016). Comparison of genes encoding GABA(A) receptors in the independent replication cohort of 583 familial and sporadic genetic generalised epilepsy index cases, based on candidate-gene panel sequencing, with a third independent control cohort of 635 controls confirmed the overall enrichment of rare missense variants for 15 GABA(A) receptor genes in cases compared with controls (OR 1.46 [95% CI 1.02-2.08]; p(Nonsyn)=0.013, adjusted p(Nonsyn)=0.027). Functional studies for two selected genes (GABRB2 and GABRA5) showed significant loss-of-function effects with reduced current amplitudes in four of seven tested variants compared with wild-type receptors. Interpretation Functionally relevant variants in genes encoding GABA(A) receptor subunits constitute a significant risk factor for genetic generalised epilepsy. Examination of the role of specific gene groups and pathways can disentangle the complex genetic architecture of genetic generalised epilepsy. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.Peer reviewe

    From sleep spindles of natural sleep to spike and wave discharges of typical absence seizures: is the hypothesis still valid?

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    The temporal coincidence of sleep spindles and spike-and-wave discharges (SWDs) in patients with idiopathic generalized epilepsies, together with the transformation of spindles into SWDs following intramuscular injection of the weak GABAA receptor (GABAAR) antagonist, penicillin, in an experimental model, brought about the view that SWDs may represent ‘perverted’ sleep spindles. Over the last 20 years, this hypothesis has received considerable support, in particular by in vitro studies of thalamic oscillations following pharmacological/genetic manipulations of GABAARs. However, from a critical appraisal of the evidence in absence epilepsy patients and well-established models of absence epilepsy it emerges that SWDs can occur as frequently during wakefulness as during sleep, with their preferential occurrence in either one of these behavioural states often being patient dependent. Moreover, whereas the EEG expression of both SWDs and sleep spindles requires the integrity of the entire cortico-thalamo-cortical network, SWDs initiates in cortex while sleep spindles in thalamus. Furthermore, the hypothesis of a reduction in GABAAR function across the entire cortico-thalamo-cortical network as the basis for the transformation of sleep spindles into SWDs is no longer tenable. In fact, while a decreased GABAAR function may be present in some cortical layers and in the reticular thalamic nucleus, both phasic and tonic GABAAR inhibitions of thalamo-cortical neurons are either unchanged or increased in this epileptic phenotype. In summary, these differences between SWDs and sleep spindles question the view that the EEG hallmark of absence seizures results from a transformation of this EEG oscillation of natural sleep

    Advancing epilepsy genetics in the genomic era

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