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Insulin action in the hypothalamus and dorsal vagal complex

2014· review· en· W1601418383 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueExperimental Physiology · 2014
Typereview
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsDiabetes CanadaUniversity of TorontoUniversity Health Network
FundersCanadian Diabetes Association
KeywordsEndocrinologyInternal medicineInsulin resistanceHypothalamusInsulinType 2 diabetesDiabetes mellitusObesityGlucose homeostasisEnergy homeostasisBiologyHomeostasisMedicine

Abstract

fetched live from OpenAlex

New Findings What is the topic of this review? This review documents a metabolic role of insulin action in brain. What advances does it highlight? This review highlights the role of insulin signalling in the hypothalamus and dorsal vagal complex in the regulation of hepatic glucose production and food intake. Insulin resistance is a hallmark feature of type 2 diabetes and obesity. In addition to the classical view that insulin resistance in the liver, muscle and fat disrupts glucose homeostasis, studies in the past decade have illustrated that insulin resistance in the hypothalamus dysregulates hepatic glucose production and food intake, leading to type 2 diabetes and obesity. This invited review argues that in addition to the hypothalamus, insulin signalling in the dorsal vagal complex regulates hepatic glucose production and food intake. A thorough understanding of the physiological and pathophysiological mechanisms of insulin action in the hypothalamus and dorsal vagal complex is necessary in order to identify therapeutic targets for obesity 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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.132
GPT teacher head0.384
Teacher spread0.251 · 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