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Record W2017854217 · doi:10.2174/1871529x11202020092

Regulation of Intestinal Chylomicron Production by Glucagon-Like Peptides

2012· review· en· W2017854217 on OpenAlexaff
Joanne Hsieh, Khosrow Adeli

Bibliographic record

VenueCardiovascular & Haematological Disorders - Drug Targets · 2012
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPostprandialEndocrinologyInternal medicineChylomicronInsulin resistanceIncretinGlucagon-like peptide-1DyslipidemiaInsulinLipoproteinApolipoprotein BLDL receptorBiologyMedicineType 2 diabetesDiabetes mellitusVery low-density lipoproteinCholesterol

Abstract

fetched live from OpenAlex

Apolipoprotein B48 (apoB48)-containing triglyceride-rich lipoproteins are atherogenic and therefore it is important to understand factors that regulate their metabolism in the intestine. Insulin resistant states are associated with increased intestinal output of apo B48, but the mechanistic studies explaining this overproduction have relied heavily on models of diet-induced insulin resistance. There is evidence that glucagon-like peptide (GLP) secretion is diminished in insulin resistant and diabetic states, which may have implications for postprandial lipid secretion. This review presents a survey of studies on GLPs and intestinal lipoprotein metabolism, along with some insights into the net physiological significance of GLP action in postprandial lipoprotein metabolism. Studies with GLP-1 receptor agonists and dipeptidyl peptidase-IV inhibitors have indicated that GLP-1 in pharmacological and physiological doses can inhibit intestinal TRL production. On the other hand, GLP-2 has an acute stimulatory effect on intestinal apoB48 secretion. Modulating GLP action may serve as a strategy to improve postprandial dyslipidemia in insulin resistant states.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
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)0.0000.000

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 head0.026
GPT teacher head0.267
Teacher spread0.241 · 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 teacher head, not a consensus.

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

Citations2
Published2012
Admission routes1
Has abstractyes

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