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Record W1973622081 · doi:10.2337/db13-1501

Circadian Secretion of the Intestinal Hormone GLP-1 by the Rodent L Cell

2014· article· en· W1973622081 on OpenAlexafffund
Manuel Gil‐Lozano, Erli L. Mingomataj, Wei Wu, Sean A. Ridout, Patricia L. Brubaker

Bibliographic record

VenueDiabetes · 2014
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsEndocrinologyCircadian rhythmInternal medicineBiologySecretionGene knockdownCircadian clockIncretinCLOCKEnteroendocrine cellHormoneEndocrine systemGeneType 2 diabetesDiabetes mellitusMedicine

Abstract

fetched live from OpenAlex

Peripheral clocks are known to modulate circadian patterns of insulin secretion. GLP-1 is an incretin hormone produced by the intestinal L cell that acts as a link between the gut and pancreatic β-cell. Herein, we demonstrate the existence of a diurnal rhythm in GLP-1 secretory responses to an oral glucose load in rats, with increased release immediately preceding the normal feeding period. This profile of GLP-1 release correlated with the pattern in insulin secretion, and both rhythms were completely inverted in animals subjected to a 12-h feeding cycle disruption and abolished in rats maintained under constant light conditions. A daily variation in the insulin response to exogenous GLP-1 was also found. Consistent with these in vivo findings, we demonstrated a circadian pattern in the GLP-1 secretory response to different secretagogues in murine GLUTag L cells, as well as in the mRNA levels of several canonical clock genes. Furthermore, significant changes in the expression of several genes were demonstrated by microarray and knockdown of two of them, thyrotroph embryonic factor and protein tyrosine phosphatase 4a1, resulted in altered GLP-1 secretion. Collectively, these results indicate that an independent peripheral clock in the L cell drives a circadian rhythm in GLP-1 secretory responses.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.204
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations129
Published2014
Admission routes2
Has abstractyes

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