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Record W2140600915 · doi:10.2174/157339905774574301

Role of Insulin in Glucose-Stimulated Insulin Secretion in Beta Cells

2005· review· en· W2140600915 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Diabetes Reviews · 2005
Typereview
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInsulinInternal medicineEndocrinologyInsulin oscillationInsulin resistanceDiabetes mellitusType 2 diabetesMedicineInsulin receptorBeta cellBiologyIslet

Abstract

fetched live from OpenAlex

Diabetes is on the increase worldwide and greater than 90% are type 2. There are two features to type 2 diabetes: muscle, fat and liver tissues are insulin resistant and beta cells lose the ability to secrete insulin. Prior to developing diabetes, however, insulin resistant individuals lose the first-phase insulin secretion response. Transgenic mice lacking insulin receptors in their beta cells have no first-phase response. Primary cultures of mouse islets pre-exposed to anti-insulin do not exhibit a first-phase insulin secretion response. That is, beta cells, like muscle, fat, and liver, are an insulin sensitive tissue and in the presence of insulin resistance (type 2 diabetes), in the absence of insulin receptors (transgenic mice lacking beta cell insulin receptors), or in the absence of constitutively secreted insulin (anti-insulin treatment), beta cells are unable to respond properly to post-prandial glucose. The purpose of this report is to review our understanding of the glucose-stimulus response and of insulin signaling, and to suggest why the latter may be necessary for the former to proceed.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.346
Teacher spread0.286 · 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