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Record W2114762146 · doi:10.1210/endo.141.10.7750

Glucose-Dependent Insulinotropic Polypeptide Confers Early Phase Insulin Release to Oral Glucose in Rats: Demonstration by a Receptor Antagonist<sup>1</sup>

2000· article· en· W2114762146 on OpenAlexaff
Jamie Lewis, Bama Dayanandan, Joel F. Habener, Timothy J. Kieffer

Bibliographic record

VenueEndocrinology · 2000
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsHeritage Medical Research ClinicUniversity of Alberta
Fundersnot available
KeywordsInternal medicineEndocrinologyGastric inhibitory polypeptideInsulinReceptorGlucagonBiologyReceptor antagonistAntagonistChemistryMedicine

Abstract

fetched live from OpenAlex

A novel GIP receptor antagonist was developed to evaluate the acute role of glucose-dependent insulinotropic polypeptide (GIP) in the insulin response to oral glucose in rats. Antisera to an extracellular epitope of the GIP receptor (GIPR) detected immunoreactive GIPR on rat pancreatic beta-cells. Purified GIPR antibody (GIPR Ab) specifically displaced GIP binding to the receptor and blocked GIP-mediated increases in intracellular cAMP. When delivered to rats by ip injection, GIPR Ab had a half-life of approximately 4 days. Treatment with GIPR Ab (1 microg/g BW) blocked the potentiation of glucose-stimulated insulin secretion by GIP (60 pmol) but not glucagon-like peptide-1 (GLP-1, 60 pmol) in anesthetized rats. The insulin response to oral glucose was delayed in conscious unrestrained rats that were pretreated with GIPR Ab. Plasma insulin levels were approximately 35% lower at 10 min in GIPR Ab treated animals compared with controls. As a result, the glucose excursion was greater in the GIPR Ab treated group. Fasting plasma glucose levels were not altered by GIPR Ab. We conclude that release of GIP following oral glucose may act as an anticipatory signal to pancreatic beta-cells to promote rapid release of insulin for glucose disposal.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.002

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 head0.013
GPT teacher head0.269
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations85
Published2000
Admission routes1
Has abstractyes

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