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Record W2035659810 · doi:10.1159/000243536

Effect of Bombesin on the Development of the Neonatal Rabbit Gastrointestinal Tract

2009· article· en· W2035659810 on OpenAlexaff
Eman M. Karkashan, Wallace K. MacNaughton, Grant Gall

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBombesinGastrointestinal tractInternal medicineSmall intestineStomachEndocrinologyIleumBiologyJejunumMedicineReceptor

Abstract

fetched live from OpenAlex

The effect of bombesin on the postnatal development of the gastrointestinal tract was examined in New Zealand white rabbits. Bombesin (1.25, 12.5, 30 micrograms/kg body weight) or vehicle was administered intraperitoneally to suckling rabbits for 13 days starting on day 4 of life. The animals were killed at day 17. There was no significant effect of bombesin at doses of 1.25 or 12.5 micrograms/kg in any region of the gut studied. Bombesin administered at 30 micrograms/kg induced a widespread trophic effect in the gastrointestinal tract characterized by significant increases in the wet weight of the stomach, liver and whole small intestine, as well as in 10-cm segments of the proximal, middle, and distal small intestine. There was also a significant increase in the mucosal weight of 10-cm segments of the proximal, middle and distal small intestine, and the colon in the bombesin-treated group. Bombesin significantly increased the protein and DNA contents of the liver, the fundus of stomach, all segments of the small intestine and the distal colon. Maximal stimulation was seen in DNA content, suggesting that bombesin has a primarily hyperplastic effect. Bombesin increased the activities of small intestinal sucrase and maltase but not lactase. Bombesin did not alter hepatic glucokinase activity. These findings suggest that bombesin can promote the growth of the neonatal rabbit gastrointestinal tract and liver.

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 score0.064
Threshold uncertainty score0.191

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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
Published2009
Admission routes1
Has abstractyes

Explore more

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