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Enregistrement W4387459416 · doi:10.3389/fnsyn.2023.1295640

Editorial: Horizons in synaptic neuroscience

2023· editorial· en· W4387459416 sur OpenAlexaff
P. Jesper Sjöström

Notice bibliographique

RevueFrontiers in Synaptic Neuroscience · 2023
Typeeditorial
Langueen
DomaineNeuroscience
ThématiqueNeuroscience and Neuropharmacology Research
Établissements canadiensMontreal General HospitalMcGill University Health Centre
Organismes subventionnairesnon disponible
Mots-clésNeuroscienceNew horizonsEnvironmental enrichmentPsychologyPhysics

Résumé

récupéré en direct d'OpenAlex

I am delighted to present the inaugural "Horizons in Synaptic Neuroscience" article collection. This collection showcases high-impact, authoritative, and reader-friendly review articles covering the most topical research at the frontiers of synaptic neuroscience. As Chief Editor, I was asked to identify and nominate the contributing authors in recognition of their prominence and influence in their respective fields. The cutting-edge work presented in this article collection thus highlights the diversity of research performed across the entire breadth of the synaptic neuroscience field and reflects on the latest advances in primary as well as translational research.In the class view, synapses are communication devices between neurons. However, together with pre-and postsynaptic neurons, astrocytes form structures called tripartite synapses, by which they participate in bidirectional synaptic communication (Perea et al., 2009). Whereas the impact of the transcription factor cyclic adenosine monophosphate (cAMP) response element (CRE)-binding protein (CREB) has been relatively well investigated in neurons, less is known about its role in astrocytes. In their mini review, Kim and Kaang (2023) therefore explore how CREB mediates responses in astrocytes. They first discuss the classic G protein-coupled receptor activated cAMP/protein kinase A (PKA) pathway for activating CREB, but they also examine noncanonical pathways, such as receptor tyrosine kinases, Notch, and Phosphatidylinositol 3kinase/Akt. They end with a brief note on CREB in reactive astrocytes and pathology. In sum, this mini review highlights the significance of CREB in gliotransmission from astrocytes to neurons and their synapses, an important but relatively less well studied topic that deserves considerable further research.Another classic view is Dale's law, i.e., the notion that a neuron releases the same chemical transmitter from all its synaptic outputs regardless of target cell identity, a postulate that Sir John Eccles was first to attribute to Henry Dale (Eccles et al., 1954). It has, however, long been argued that Dale's principle does not always hold (Sossin et al., 1990;Jonas et al., 1998;Nicoll and Malenka, 1998). The mini review of Kim and Sabatini (2023) highlights how neurons that release more than one type of neurotransmitter have been found in many organisms and brain areas. They focus more specifically on how a key challenge with exploring synaptic co-transmission lies in the tools and approaches necessary to understand multi-transmitter release. For instance, it can be difficult to determine whether two transmitters are co-packaged in the same vesicles, or alternatively independently released via distinct vesicles of the same presynaptic terminal. Kim and Sabatini (2023) discuss the merits of different methods for addressing such queries, such as proteomics, electrophysiology, optical approaches, and statistics.Since neurons critically rely on chemical neurotransmission for information transfer, it is not surprising that malfunction of transmitter release is linked to neuropathology. In their review, Uzay and Kavalali (2023) discuss how different mutations in various components of the release machinery lead to neurological and psychiatric symptoms, by affecting cross-neuron information transfer and nervous system function. They first explore soluble N-ethylmaleimide-sensitive factor attachment protein (SNAP) receptor (SNARE) proteins such as Synaptobrevin-2, SNAP25, and Syntaxin-1, and then move on to investigating the calcium sensor Synaptotagmin-1, the SNAREstabilizing complexins, the synaptic vesicle fusion protein Munc18-1, and the vesicle priming machinery protein Munc13. The authors conclude that, despite the wealth of knowledge on the synaptic release machinery, there is much to clarify regarding how pathogenic mutations affect release so that we can develop new therapies that are adapted to the distinct dysfunction associated with specific genetic variants.Astrocytes have also been associated with neuropathology, which is perhaps also expected since they vastly outnumber neurons in the brain (Sofroniew and Vinters, 2010). In their mini review, Wang et al. ( 2022) discuss how astrocytes by way of their key role in neurodevelopment have a major impact on diseases related to intellectual disability. They explore reactive astrocytes, ion channel as well as molecular dysfunction, and the role of astrocytes in environmental factors such as excessive alcohol intake during pregnancy. They end by discussing the effects of intellectual disability drugs on astrocytes, to highlight the potential for therapy. One could thus consider the astrocyte both friend and foe in intellectual disability.Globally, more than 1.5 billion people suffer from hearing loss (Chadha et al., 2021). In children, sensorineural hearing loss is the most frequent congenital sensory disorder. Of these cases, 70% have been ascribed to non-syndromic hearing loss (Sindura and Banerjee, 2019). In their review, Li et al. ( 2023) discuss how the GAIP interacting protein c terminus 3 gene GIPC3 is strongly associated with non-syndromic hearing loss, and how screening for GIPC3 variants is key to early detection of hearing loss in children. They overview the GIPC3 gene, explore effects of GIPC3 mutation on the auditory system, and conclude that focussing on GIPC3 is useful for understanding hereditary deafness and its developmental mechanisms.

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)0,004
score de la tête « metaresearch » (Gemma)0,015
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: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,095

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,015
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,002
Communication savante0,0060,004
Science ouverte0,0030,002
Intégrité de la recherche0,0080,012
Charge utile insuffisante (le modèle a refusé de juger)0,0280,022

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 Opus0,032
Tête enseignante GPT0,332
Écart entre enseignants0,299 · 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
GenreÉditorial

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

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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