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Enregistrement W2564859908 · doi:10.1113/jp273149

New old drug(s) for spinocerebellar ataxias

2016· letter· en· W2564859908 sur OpenAlexaff
Visou Ady, Alanna J. Watt

Notice bibliographique

RevueThe Journal of Physiology · 2016
Typeletter
Langueen
DomaineNeuroscience
ThématiqueGenetic Neurodegenerative Diseases
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésNeurosciencePurkinje cellCerebellumMetabotropic glutamate receptor 1Spinocerebellar ataxiaBiologyMetabotropic glutamate receptorAtaxiaGlutamate receptorReceptorGenetics

Résumé

récupéré en direct d'OpenAlex

Spinocerebellar ataxias (SCAs) are a group of more than 40 neurodegenerative diseases, characterized by progressive impairment of balance, motor coordination and gait. Ataxin-1 was the first gene identified in an SCA (SCA1). Purkinje cell degeneration is a hallmark post mortem feature of most SCAs, including SCA1, and Purkinje cell dysfunction is often observed during early disease stages (Meera et al. 2016). At present, there is no treatment available for SCAs, although a paper by Shuvaev and colleagues in this issue of The Journal of Physiology identifies a promising new therapeutic approach for SCA1 using a drug already approved by the FDA, baclofen (Shuvaev et al. 2017). Shuvaev and colleagues elegantly and thoroughly address the role of metabotropic glutamate receptor type 1 (mGluR1) signalling in cerebellar Purkinje cells during early stages of SCA1, examining time points both before and after disease onset in two models: a well-studied transgenic mouse model of SCA1, and viral expression of mutant ataxin-1 gene product in the cerebellum (Shuvaev et al. 2017). Both approaches yielded largely congruous results: mutant Ataxin-1 led to the progressive reduction of mGluR1 signalling in Purkinje cells as motor coordination deficits emerged. The reduction of mGluR1 signalling produced changes in both short- and long-term plasticity at parallel fibre synapses, which have been associated with impaired motor learning and cerebellar function (Meera et al. 2016; Power et al. 2016a). In cerebellar Purkinje cells, mGluR1 signalling can be enhanced by γ-aminobutyric acid type B (GABAB) receptors (Hirono et al. 2001; Tabata et al. 2004). The authors ingeniously take advantage of this crosstalk, and utilize the GABAB receptor activator baclofen to augment mGluR1 signalling (Hirono et al. 2001; Tabata et al. 2004). Using a single low-dose intracranial administration of baclofen, they produced a long-lasting recovery of mGluR1 signalling and synaptic plasticity in Purkinje cells, and importantly, a long-lasting improvement of ataxic symptoms as well. Changes in mGluR1 signalling have been reported in several ataxias (Meera et al. 2016; Power et al. 2016a), and Shuvaev and colleagues’ findings are in agreement with most SCA1 studies where decreases in mGluR1 have typically been observed (Serra et al. 2004; Zu et al. 2004; Notartomaso et al. 2013; Meera et al. 2016; Power et al. 2016a). Another recent study, however, suggests that mGluR1 regulation in SCA1 may be more complex, as the opposite was found – increased mGluR1 signalling – in a different SCA1 mouse (Power et al. 2016b). It is likely that multiple and even opposing changes – some pathophysiological and some adaptive – occur at different stages during disease progression. Indeed, one recent study of Purkinje cell excitability in SCA1 found both increases and decreases at different stages of SCA1 disease progression (Dell'Orco et al. 2015). Further studies will be needed to elucidate whether mGluR1 signalling is differentially regulated at different disease stages in SCA1. Ten years ago, there were few if any promising therapeutic approaches for SCAs. Shuvaev and colleagues’ finding that baclofen improves ataxia in an SCA1 mouse model (Shuvaev et al. 2017) is exciting, because baclofen is FDA approved and has already been used in patients for decades as a muscle relaxant for spasticity. Its therapeutic potential for treating SCA1 should be investigated further. Baclofen joins a growing pharmacopoeia of potential drug treatments for SCA1 (Fig. 1), including FDA-approved drugs such as the aminopyridines (APs) Di-AP and 4-AP, which restore Purkinje cell firing properties in SCA1 (Hourez et al. 2011), and lithium (Watase et al. 2007), as well as other drugs like flufenamic acid, which increases Purkinje cell excitability (Dell'Orco et al. 2015), Ro0711401, a positive mGluR1 modulator (Notartomaso et al. 2013), and JNJ16259685, a negative mGluR1 modulator which has been reported to both improve SCA1 symptoms (Power et al. 2016b) and worsen them (Notartomaso et al. 2013). While each drug may have limits to its therapeutic potential, the emergence of several new avenues for SCA1 treatment is particularly encouraging. SCA1 is the most studied and common of the rare SCAs; sadly, there is currently almost no research undertaken for several other SCAs. We recently found that 4-AP improves motor function and firing deficits in a mouse model of SCA6 (Jayabal et al. 2016); taken together with its effects on SCA1 (Hourez et al. 2011), this suggests that common treatments for multiple SCAs may be possible. Given that mGluR1 changes have been observed in several ataxias (Meera et al. 2016; Power et al. 2016a), the findings of Shuvaev and colleagues may have an even broader impact in the future (Shuvaev et al. 2017), as baclofen may have therapeutic benefits for other SCAs as well. None declared. Both authors have approved the final version of the manuscript and agree to be accountable for all aspects of the work. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,080

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0240,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,277
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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