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Record W2066890359 · doi:10.2217/17460875.2.4.455

Lipid-Induced β-cell Dysfunction And Oxidative Stress

2007· article· en· W2066890359 on OpenAlexaff
Andrei I. Oprescu, Adria Giacca

Bibliographic record

VenueFuture Lipidology · 2007
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of TorontoCanada Research Chairs
Fundersnot available
KeywordsLipotoxicityInsulin resistanceOxidative stressEndocrinologyInternal medicineType 2 diabetesAdipose tissueInsulinDiabetes mellitusChemistryBiologyMedicine

Abstract

fetched live from OpenAlex

Type 2 diabetes is characterized by both insulin resistance and defective insulin secretion. Obesity is the major predisposing factor for Type 2 diabetes and is associated with excessive release of fatty acids from the expanded adipose tissue, leading to elevated plasma free fatty acid, known to induce insulin resistance and decrease β-cell function and mass. The purpose of this review is to discuss the mechanisms of the effect of prolonged fat exposure on pancreatic β-cells, known as lipotoxicity, with particular regard to β-cell function. The role of oxidative stress is emphasized, as it was shown by recent studies to play a significant role in the development of lipotoxicity and Type 2 diabetes.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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 designTheoretical or conceptual
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

Citations1
Published2007
Admission routes1
Has abstractyes

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