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Record W2014075947 · doi:10.1159/000136726

Failure of Ergotamine to Alter the Lipolytic Effect of Somatotropin in Dogs

2008· article· en· W2014075947 on OpenAlexaff
A. Sirek, O. V. Sirek

Bibliographic record

VenuePharmacology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and fungal interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsErgotamineDihydroergotamineEndocrinologyInternal medicineLysergic acidChemistryDouble bondFatty acidLipolysisBiologyMedicineBiochemistryAdipose tissue

Abstract

fetched live from OpenAlex

Hypophysectomized dogs were injected intravenously with bovine somatotropin (GH), and plasma free fatty acid (FFA) concentrations were measured over a period of 2 h. The response consisted of an initial reduction in the concentration of plasma FFA followed by a rebound and a delayed rise above baseline values. When the animals were given a single intravenous injection of ergotamine tartrate 30 min prior to the administration of GH, the biphasic pattern with the sluggish rise in plasma FFA was retained. This finding is contrary to the results of identical experiments conducted by us with dihydroergotamine, which proved to be a potent amplifier of the lipolytic effect of GH. Since the only difference between these two compounds is the presence or absence of the double bond at C9 and C10 of the lysergic acid moiety, it appears that unless this bond is saturated the alkaloid is not capable of functioning as a biological amplifier.

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 score0.191
Threshold uncertainty score0.468

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 head0.014
GPT teacher head0.262
Teacher spread0.247 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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