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Record W1935119909 · doi:10.2337/db15-0692

A Dash of Salt-Inducible Kinase 1 Keeps Insulin Levels in Check

2015· letter· en· W1935119909 on OpenAlexaff
Reid Aikin, Lawrence Rosenberg

Bibliographic record

VenueDiabetes · 2015
Typeletter
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsMcGill UniversityJewish General HospitalMcGill University Health Centre
Fundersnot available
KeywordsDashInsulinInternal medicineMedicineEndocrinologyComputer science

Abstract

fetched live from OpenAlex

The precise control of insulin release from pancreatic β-cells in response to changes in circulating glucose levels is essential for maintaining metabolic homeostasis. Understanding the pathways coupling insulin secretion to blood glucose levels is critical for the development of new strategies to treat a variety of metabolic disorders, including type 2 diabetes. In this issue of Diabetes , Kim et al. (1) propose a novel regulatory feedback mechanism operating within β-cells that acts to reduce insulin secretion. Within β-cells, cyclic AMP (cAMP) acts as a positive regulator of insulin secretion by both nontranscriptional and transcriptional mechanisms. Increased cAMP levels can directly potentiate insulin granule release, as well as regulate genes involved in β-cell function and survival (2–4). Thus, cAMP levels within β-cells must be tightly regulated in order to ensure proper secretion of adequate amounts of insulin. The importance of cAMP in type 2 diabetes is underscored by the proliferation of incretin-based drugs on the market over the past decade, including glucagon-like peptide 1 receptor agonists and dipeptidyl peptidase-4 inhibitors, which potentiate insulin release by increasing cAMP signaling in β-cells (5). Thus, developing our understanding of the mechanisms controlling cAMP levels in β-cells has great potential to uncover new therapeutic …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0040.005

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 head0.050
GPT teacher head0.279
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2015
Admission routes1
Has abstractyes

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