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Record W1993518455 · doi:10.1159/000068925

Age-Related Modulation of Dopamine D1 Receptor mRNA Level by Hypoxia in Rabbit Adrenal Gland

2003· article· en· W1993518455 on OpenAlexaff
Jean-Marc Labaune, Marie‐Jeanne Boutroy, Aïda Bairam

Bibliographic record

VenueNeonatology · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversité Laval
FundersCore Research for Evolutional Science and Technology
KeywordsEndocrinologyInternal medicineHypoxia (environmental)DopamineAdrenal medullaAdrenal glandBiologyDopamine receptorFetusDopamine receptor D1CatecholamineMedicineChemistryPregnancy

Abstract

fetched live from OpenAlex

In the perinatal period, the fetus and the neonate may be exposed to hypoxic conditions. The adrenal gland responds to systemic hypoxia by releasing catecholamines. Dopamine and dopamine D1 receptor are present in the adrenal medulla and are liable to be affected by exposure to hypoxia. We used a rabbit model to determine whether hypoxia modulates the dopamine D1 receptor (DA D1-R) mRNA expression in adrenal glands during development. Rabbits were investigated according to four different hypoxic conditions: 15% O2 for 6 h, 15% O2 for 24 h, 8% O2 for 6 h, and 8% O2 for 24 h. Control groups were maintained in normoxic conditions (21% O2). For each O2 condition, animals were studied at three different ages: 1-day old newborns, 25-day-old pups, and 6-month-old adults. We compared the hypoxic groups to their respective age normoxic group. We have shown that hypoxia decreases DA D1-R mRNA expression level, evaluated using Northern blot analysis, in newborn rabbits, whatever the duration and severity of hypoxia. This downmodulation was not observed in 25-day-old and in adult rabbits. This age-related modulation of adrenal DA D1-R mRNA could be linked to the age-related transition from the non-neurogenic to the neurogenic regulation of the adrenal function.

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)0.001
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 score0.060
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.034
GPT teacher head0.265
Teacher spread0.231 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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