Notice bibliographique
Résumé
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 0,008 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».