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Record W2114434280 · doi:10.1210/en.2010-0115

Minireview: Update on Incretin Biology: Focus on Glucagon-Like Peptide-1

2010· review· en· W2114434280 on OpenAlexaff
Patricia L. Brubaker

Bibliographic record

VenueEndocrinology · 2010
Typereview
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIncretinGlucagon-like peptide-1Type 2 diabetesMedicineBioinformaticsHormoneSecretionEndocrinologyInternal medicineDiabetes mellitusBiology

Abstract

fetched live from OpenAlex

The incretin hormone, glucagon-like peptide-1 (GLP-1), is now being used in the clinic to enhance insulin secretion and reduce body weight in patients with type 2 diabetes. Although much is already known about the biology of GLP-1, much remains to be understood. Hence, this review will consider recent findings related to the potential for enhancing endogenous levels of GLP-1 through selective use of secretagogues and the beneficial cardiovascular, neuroprotective, and immunomodulatory effects of GLP-1, as well as the possible effects of GLP-1 to enhance beta-cell growth and/or to induce pancreatitis or thyroid cancer. Finally, the potential for molecular medicine to enhance the success of GLP-1 therapy in the clinic is considered. A better understanding of the fundamental biology of GLP-1 may lead to new therapeutic modalities for the clinical use of this intestinal hormone.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.012

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 head0.043
GPT teacher head0.347
Teacher spread0.305 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations121
Published2010
Admission routes1
Has abstractyes

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