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Record W3119479118

Modulation of the endocannabinoid system in Genetic Absence Epilepsy Rats from Strasbourg: New avenues for treatment of absence seizures and behavioural comorbidities.

2021· dissertation· en· W3119479118 on OpenAlex
Andrew J. Roebuck

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2021
Typedissertation
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsEndocannabinoid systemEpilepsyNeuroscienceMedicinePharmacologyPsychologyPsychiatryInternal medicineReceptor
DOInot available

Abstract

fetched live from OpenAlex

Current treatments for Absence Epilepsy (AE) are insufficient and do not adequately manage seizures and comorbidities in most patients. With the recent legalization of cannabis in Canada, interest in its use for the treatment of epilepsy has increased. However, no studies have assessed cannabis in AE, and only limited preclinical evidence is available. Using Genetic Absence Epilepsy Rats from Strasbourg (GAERS), this thesis examines how cannabis-based medicines may be used to treat seizures and behavioural comorbidities relevant to AE. In Chapter 2, touchscreen chambers were used to identify visual learning and flexibility impairments in GAERS. These findings provide evidence of cognitive impairment, suggesting GAERS may be used to model this comorbidity. In Chapter 3, we tested the effects of plant-derived phytocannabinoids on seizures in GAERS. Injected Δ9-tetrahydrocannabinol (THC), the main psychoactive constituent in cannabis, increased the number of seizure events as measured by increased spike-and slow wave discharges (SWDs) recorded through electroencephalogram (EEG). In contrast, cannabidiol (CBD) produced a moderate decrease in SWDs. As cannabis is usually smoked, we used a novel smoke exposure protocol to subject animals to high-THC and high-CBD cannabis smoke. Consistent with the injection data, high-THC smoke increased SWDs whereas high-CBD smoke had no effect. These findings are the first to demonstrate a seizure modulating effect of THC and CBD in a rat model of AE. Chapter 4 characterized the endocannabinoid system (ECS) in GAERS and investigated whether type 1 cannabinoid receptor (CB1R) positive allosteric modulators (PAMs) may be effective in reducing SWDs. Sex-specific and regional alterations in the ECS were identified which may contribute to seizure propagation and behavioural comorbidities in GAERS. These experiments also demonstrated that the CB1R PAMs GAT211 and GAT229 reduce SWDs in GAERS without producing adverse behavioural effects observed following THC exposure. In Chapter 5, GAT211 was tested to determine whether it could also reverse behavioural impairments observed in GAERS. This experiment used a battery assessing anxiety-like behaviour and social impairment as these deficits have previously been shown to respond to antiepileptic drug treatment. These data provided some evidence to suggest a potential therapeutic effect of GAT211, but future experiments will be required to confirm these results. Overall, these data identify additional comorbidities, and demonstrate seizure modulating effects of several cannabinoids. The seizure reducing effects of CBD, GAT211, and GAT229 highlight the potential use of cannabinoids in GAERS as a promising area for continued preclinical research in AE.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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