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Record W1998785228 · doi:10.1159/000123498

Vasopressin and Oxytocin Content Are Decreased in the Brain Stems of Spontaneously Hypertensive Rats

2008· article· en· W1998785228 on OpenAlexaff
Jan Möhring, Josiane Schoun, Jacqueline Kintz, Ian Robinson, J. Robert McNeill

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsVasopressinOxytocinEndocrinologyInternal medicineMedicineNeuropeptideReceptor

Abstract

fetched live from OpenAlex

The brain stem and neurohypophyseal content of arginine vasopressin and the brain stem content of oxytocin were measured by radioimmunoassay in 3-, 7-, and 22- to 28-week-old spontaneously hypertensive rats of the stroke-prone strain (SHRSP) and the values were compared to those measured in age-matched normotensive Wistar-Kyoto rats (WKY). When compared to WKY, the content of vasopressin in the brain stems of SHRSP was reduced in all three age-groups; in contrast, the neurohypophyseal contents of vasopressin in the two species were not significantly different at 3 and 7 weeks of age and the content was increased slightly in SHRSP at 22-28 weeks. Similar to the findings for vasopressin in the brain stem, the content of oxytocin in this tissue was reduced in SHRSP at 7 and 22-28 weeks of age. The results demonstrate that brain stem arginine vasopressin levels and neurohypophyseal arginine vasopressin levels may change differentially and that the age-related differences in the brain stem levels of arginine vasopressin and oxytocin in SHRSP and WKY are consistent with the possibility that these peptides may play a role in altering cardiovascular reflex 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)0.000
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 score0.254
Threshold uncertainty score0.728

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 science0.0000.000
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 head0.102
GPT teacher head0.305
Teacher spread0.203 · 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

Citations28
Published2008
Admission routes1
Has abstractyes

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