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Record W1979878324 · doi:10.1159/000199824

Involvement of Serotonergic Mechanisms in the Disruption of Ovine Duodenal Migrating Myoelectric Complex Cycles by Duodenal Acidification

2009· article· en· W1979878324 on OpenAlexaff
E C Crichlow, G Erard E. D Allal, Y. Ruckebusch

Bibliographic record

VenueDigestion · 2009
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMetergolineDuodenumSerotonergicEndocrinologyMethysergideInternal medicineRitanserinDuodenal bulbReticular connective tissueMigrating motor complexChemistrySerotoninBiologyMedicineReceptorAnatomy

Abstract

fetched live from OpenAlex

Infusions of 1 and 4 mmol of HCl (pH 2.0) into the duodenal bulb of conscious sheep, within 30% of the period of the migrating myoelectric complex (MMC) cycle, induced aborally propagated premature phases of regular spiking activity (RSA) on the proximal duodenum. A transient inhibition of reticular contractions and a shortening of the period of subsequent duodenal MMC cycles were obtained with infusions of 4 mmol of HCl but not with infusions of 1 mmol. When the animals were pretreated with the 5-hydrotryptamine (5-HT) antagonists, ritanserin (0.2 mg/kg) and metergoline (0.5 mg/kg), 15 min before duodenal infusions of 4 mmol of HCl, premature RSAs and inhibition of reticular contractions were still elicited, but shortening of the subsequent duodenal MMC cycles did not occur. It is concluded that the shortening of duodenal MMC cycles induced by duodenal infusions of 4 mmol of HCl involved a serotonergic mechanism incorporating 5-HT2 receptors. The premature duodenal RSA and inhibition of reticular motility also elicited by these infusions appeared to be independent of this serotonergic system.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.322

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 head0.027
GPT teacher head0.281
Teacher spread0.254 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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