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Record W2059739220 · doi:10.1002/jnr.20412

Regulation of striatal preproenkephalin mRNA levels in MPTP-lesioned mice treated with estradiol

2005· article· en· W2059739220 on OpenAlexafffund
Myreille D’Astous, Marc Morissette, Sophie Callier, Thérèse Di Paolo

Bibliographic record

VenueJournal of Neuroscience Research · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsMPTPNeuroprotectionStriatumDopamineEndocrinologyInternal medicineChemistryMonoamine neurotransmitterMessenger RNAEnkephalinPharmacologyBiologyMedicineSerotoninReceptorBiochemistryDopaminergic

Abstract

fetched live from OpenAlex

We reported previously the protective effect of 17beta-estradiol (17beta-E(2)) on 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced dopamine (DA) depletion. This protection was stereospecific, because 17beta-E(2) showed activity but 17alpha-estradiol (17alpha-E(2)) did not. The mechanisms by which estradiol exerts its beneficial effects, however, remain unknown. We investigated a possible implication of enkephalins (ENK) in neuroprotective activity of 17beta-E(2). Protection against MPTP-induced DA depletion was obtained with 17beta-E(2) but not 17alpha-E(2). MPTP lesion increased striatal preproenkephalin (PPE) mRNA levels and they remained elevated in 17alpha-E(2)-treated MPTP mice whereas 17beta-E(2) treatment decreased these levels to control values. This is the first report of estradiol modulation of striatal PPE mRNA in mice. Negative and significant correlations between DA levels, vesicular monoamine transporter (VMAT(2)) density, and PPE mRNA were observed in the striatum of lesioned animals. This effect of 17beta-E(2) on PPE mRNA after a lesion could be one of many mechanisms by which this steroid exerts its neuroprotective activity.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.239

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 head0.052
GPT teacher head0.356
Teacher spread0.303 · 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 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

Citations14
Published2005
Admission routes2
Has abstractyes

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