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Record W1986516117 · doi:10.1002/dmrr.1279

‘Sensing’ the link between type 1 and type 2 diabetes

2011· review· en· W1986516117 on OpenAlexafffund
Hubert Tsui, Geoffrey Paltser, Yin Chan, Ruslan Dorfman, Hans‐Michael Dosch

Bibliographic record

VenueDiabetes/Metabolism Research and Reviews · 2011
Typereview
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsTRPV1Insulin resistanceIsletEndocrinologyType 2 diabetesInternal medicineGlucose homeostasisType 1 diabetesObesityAdipose tissueMedicineDiabetes mellitusMetabolic syndromeInflammationBiologyReceptorTransient receptor potential channel

Abstract

fetched live from OpenAlex

Obesity-associated insulin resistance is a core element of metabolic syndrome and type 2 diabetes (T2D). Notably, insulin resistance is also a feature of type 1 diabetes (T1D), where findings in the non-obese diabetic mouse model have implicated transient receptor potential vanilloid-1 (TRPV1+) sensory neurons in local islet inflammation and glucose metabolism. Here, we briefly review the role of TRPV1 in non-obese diabetic (NOD) T1D pathogenesis, highlighting commonalities that suggest TRPV1 may contribute to obesity and T2D as well. With the recently discovered importance of adipose infiltrating lymphocytes in the metabolic disturbances of obesity and T2D, sensory innervation of fat may thus play an analogous role to sensory neurons in the islet--modulating neuroendocrine homeostasis and inflammation. In such a scenario, TRPV1+ sensory nerves would provide the pathoaetiological link connecting the shared metabolic and immunologic features of type 1 diabetes and T2D.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.230
GPT teacher head0.427
Teacher spread0.196 · 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

Citations18
Published2011
Admission routes2
Has abstractyes

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