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Record W1634349104 · doi:10.1113/jphysiol.2012.234914

Regulation of glucose kinetics during exercise by the glucagon‐like peptide‐1 receptor

2012· article· en· W1634349104 on OpenAlexaff
Melissa A. Burmeister, D. P. Bracy, Freyja D. James, Rochelle M. Holt, Julio E. Ayala, Emily King, David H. Wasserman, Daniel J. Drucker

Bibliographic record

VenueThe Journal of Physiology · 2012
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesVanderbilt University
KeywordsInternal medicineEndocrinologyGlucagonGlucagon-like peptide-1InsulinType 2 diabetesReceptorGlucose uptakeBiologyChemistryDiabetes mellitusMedicine

Abstract

fetched live from OpenAlex

Key points Glucagon‐like peptide‐1 (Glp1) regulates hepatic glucose production (HGP) and muscle glucose uptake (MGU) via its ability to stimulate insulin secretion. Using exercise as a means to stimulate glucose flux independently of insulin secretion, we observed that Glp1 receptor (Glp1r) knockout (Glp1r−/−) mice become hyperglycaemic but display normal rates of MGU. Since euglycaemia during exercise is typically maintained by matching rates of HGP to rates of MGU, we hypothesize that exercise‐induced hyperglycaemia in Glp1r−/− mice is due to excessive HGP. Using innovative catheterization and isotope dilution techniques, we demonstrate that hyperglycaemia in exercising Glp1r−/− mice is associated with excessive HGP and glucagon secretion. These results suggest an essential and novel role for basal Glp1r signalling in the suppression of alpha cell secretion during exercise. Abstract In response to oral glucose, glucagon‐like peptide‐1 receptor (Glp1r) knockout (Glp1r−/−) mice become hyperglycaemic due to impaired insulin secretion. Exercise also induces hyperglycaemia in Glp1r−/− mice. In contrast to oral glucose, exercise decreases insulin secretion. This implies that exercise‐induced hyperglycaemia in Glp1r−/− mice results from the loss of a non‐insulinotropic effect mediated by the Glp1r. Muscle glucose uptake (MGU) is normal in exercising Glp1r−/− mice. Thus, we hypothesize that exercise‐induced hyperglycaemia in Glp1r−/− mice is due to excessive hepatic glucose production (HGP). Wild‐type (Glp1r+/+) and Glp1r−/− mice implanted with venous and arterial catheters underwent treadmill exercise or remained sedentary for 30 min. [3‐3H]glucose was used to estimate rates of glucose appearance (Ra), an index of HGP, and disappearance (Rd). 2[14C]deoxyglucose was used to assess MGU. Glp1r−/− mice displayed exercise‐induced hyperglycaemia due to an excessive increase in Ra but normal Rd and MGU. Exercise‐induced glucagon levels were ∼2‐fold higher in Glp1r−/− mice, resulting in a ∼2‐fold higher glucagon:insulin ratio. Since inhibition of the central Glp1r stimulates HGP, we tested whether intracerebroventricular (ICV) infusion of the Glp1r antagonist exendin(9–39) (Ex9) in Glp1r+/+ mice would result in exercise‐induced hyperglycaemia. ICV Ex9 did not enhance glucose levels or HGP during exercise, suggesting that glucoregulatory effects of Glp1 during exercise are mediated via the pancreatic Glp1r. In conclusion, functional disruption of the Glp1r results in exercise‐induced hyperglycaemia associated with an excessive increase in glucagon secretion and HGP. These results suggest an essential role for basal Glp1r signalling in the suppression of alpha cell secretion during exercise.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.240
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 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

Citations6
Published2012
Admission routes1
Has abstractyes

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