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Record W2063904602 · doi:10.1159/000126348

Chronic Ethanol Increases Proopiomelanocortin Gene Expression in the Rat Hypothalamus

2008· article· en· W2063904602 on OpenAlexaff
Panagoula Angelogianni, Christina Gianoulakis

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsMcGill University
FundersMedical Research Council
KeywordsProopiomelanocortinInternal medicineEndocrinologyHypothalamusProhormoneEthanolChemistryMessenger RNAGene expressionNorthern blotPhenylalanineBiologyBiochemistryGeneMedicineAmino acidHormone

Abstract

fetched live from OpenAlex

The effect of chronic ethanol exposure on proopiomelanocortin (POMC) mRNA accumulation, beta-endorphin (beta-EP) levels as well as incorporation of [3H]-phenylalanine into beta-EP-related peptides was investigated in the rat hypothalamus. Animals were treated with an ethanol-containing liquid diet for 15 days. Both sucrose pair-fed and ad libitum-fed control groups were included. The levels of immunoreactive beta-EP, as well as the relative proportions of nonacetyl and acetyl forms of beta-EP in the hypothalami of the ethanol-treated rats were not significantly different from those in the sucrose and lab chow fed control rats. Northern blot analysis of total hypothalamic RNA indicated that ethanol-treated rats had higher POMC mRNA levels than sucrose pair-fed and control rats. Quantitation of the in vitro incorporation of [3H]-phenylalanine into POMC, beta-lipotropin and beta-EP by the hypothalamus, using immunoprecipitation and polyacrylamide disc-gel electrophoresis with sodium dodecyl sulfate, revealed that the increased hypothalamic POMC mRNA content was associated with increased incorporation of [3H]-phenylalanine into POMC by the hypothalami of the ethanol-treated rats. It is concluded that chronic ethanol can alter the expression of the POMC gene in the hypothalamus.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

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 science0.0010.000
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 head0.041
GPT teacher head0.267
Teacher spread0.226 · 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

Citations60
Published2008
Admission routes1
Has abstractyes

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