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Presynaptic mGluRs Control the Duration of Endocannabinoid-Mediated DSI

2018· article· en· W2898158826 on OpenAlexafffund
Phillip L.W. Colmers, Jaideep S. Bains

Bibliographic record

VenueJournal of Neuroscience · 2018
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta InnovatesAlberta Innovates - Health Solutions
KeywordsEndocannabinoid systemNeurosciencePsychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

GABA synapses in the brain undergo depolarization-induced suppression of inhibition (DSI) that requires activation of presynaptic cannabinoid type 1 receptors (CB1Rs). The brevity of DSI, lasting ∼1 min in most brain regions, has been ascribed to the transient production of 2-arachidonoylglycerol (2-AG). Here, we propose that the duration of DSI is controlled by heterologous interactions between presynaptic mGluRs and CB1Rs. By examining GABA synapses on parvocellular corticotropin-releasing hormone-expressing neurons in the paraventricular nucleus of the hypothalamus (PVN) of male and female mice, we show that DSI decays quickly in experimental conditions in which both GABA and glutamate are released from adjacent nerve terminals. Pharmacological inhibition of group I mGluRs prolongs DSI, whereas prior activation of mGluRs inhibits DSI, collectively suggesting that group I mGluRs quench presynaptic CB1R signaling. When photostimulation of genetically identified terminals is used to release only GABA, CB1R-dependent DSI persists for many minutes. Under the same conditions, activation of group I mGluRs reestablishes classical, transient DSI. The long-lasting DSI observed when GABA synapses are independently recruited functionally uncouples inhibitory input to PVN neurons. These observations suggest that heterologous interactions between mGluRs and CB1Rs control the temporal window of DSI at GABA synapses, providing evidence for a powerful new way to affect functional circuit connectivity in the brain. SIGNIFICANCE STATEMENTPostsynaptic depolarization liberates endocannabinoids, resulting in a rapid and transient decrease in release probability at GABA synapses. We discovered that mGluRs control the duration of depolarization-induced suppression of inhibition (DSI), most likely through heterologous desensitization of cannabinoid type 1 receptors by presynaptic mGluR5. By shortening the duration of DSI, mGluRs control the temporal window for retrograde signaling at GABA synapses. Physiological or pathological changes that affect glutamate spillover may profoundly affect network excitability by shifting the duration of cannabinoid inhibition at GABA synapses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.304
Teacher spread0.285 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations20
Published2018
Admission routes2
Has abstractyes

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