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Record W2065863996 · doi:10.1002/syn.20469

Normalization of GABA<sub>A</sub> receptor specific binding in the substantia nigra reticulata and the prevention of <scp>L</scp>‐dopa‐induced dyskinesias in MPTP parkinsonian monkeys

2007· article· en· W2065863996 on OpenAlexaff
Pershia Samadi, Marc Morissette, Frédéric Calon, Abdallah Hadj Tahar, Mehdi Dridi, Nancy Bélanger, Leonard T. Meltzer, Paul J. Bédard, Thérèse Di Paolo

Bibliographic record

VenueSynapse · 2007
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre hospitalier de l'Université LavalUniversité Laval
Fundersnot available
KeywordsSubstantia nigraMPTPDopamine receptor D2PharmacologyReceptorNeuroscienceDopamineGABAA receptorChemistryParkinson's diseaseSubthalamic nucleusAgonistInternal medicineEndocrinologyBiologyMedicineDopaminergic

Abstract

fetched live from OpenAlex

L-Dopa therapy in Parkinson's disease (PD) is counfounded by the development of involuntary movements such as L-Dopa-induced dyskinesias (LIDs). In this study GABA(A) receptor autoradiography was assessed using [(3)H]flunitrazepam binding to the benzodiazepine site of the GABA(A) receptor and [(35)S]t-butylbicyclophosphorothionate (TBPS) binding to the chloride channel of GABA(A) receptors in the substantia nigra reticulata (SNr) and subthalamic nucleus (STN). L-Dopa-treated parkinsonian monkeys experiencing LIDs were compared to animals in which LIDs was prevented by adjunct treatments with CI-1041, a selective antagonist of the NR1A/2B subtype of NMDA receptor, or low doses of the dopamine D2 receptor agonist, cabergoline. Our results demonstrated a decrease of GABA(A) receptor specific binding in the posterior part of the SNr in dyskinetic monkeys compared to nondyskinetic animals, while no modulation has been observed in the STN. These results provide evidence for the first time that pharmacological treatments preventing LIDs in nonhuman primate model of PD are associated with normalization of GABA(A) receptor-mediated signalling in the SNr.

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)0.001
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 score0.186
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations11
Published2007
Admission routes1
Has abstractyes

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