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Record W4387459416 · doi:10.3389/fnsyn.2023.1295640

Editorial: Horizons in synaptic neuroscience

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

Bibliographic record

VenueFrontiers in Synaptic Neuroscience · 2023
Typeeditorial
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsMontreal General HospitalMcGill University Health Centre
Fundersnot available
KeywordsNeuroscienceNew horizonsEnvironmental enrichmentPsychologyPhysics

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.063
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.063
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.013
Science and technology studies0.0010.005
Scholarly communication0.0010.002
Open science0.0090.002
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.332
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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