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Record W2082760969 · doi:10.1196/annals.1447.033

Islet Glia, Neurons, and β Cells

2008· review· en· W2082760969 on OpenAlexaff
Hubert Tsui, Shawn Winer, Yin Chan, Dorothy Truong, Lan Tang, Jason Yantha, Geoffrey Paltser, Hans‐Michael Dosch

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsAutoimmunityBeta cellInflammationIsletPathogenesisImmunologyImmune systemBiologyNeuroscienceAutoimmune diseaseMedicineDiabetes mellitusEndocrinologyAntibody

Abstract

fetched live from OpenAlex

Type 1 diabetes (T1D) is caused by autoimmune beta cell destruction. The early events triggering T1D and the forces that keep diabetic autoimmunity pancreas specific have been unclear. Our discovery that autoimmune islet destruction is not beta-cell-exclusive but includes cytotoxic T cell targeting of peri-islet glia, evoked the possibility that T1D pathogenesis may involve neuronal elements beyond beta cell/immune interactions. Recently, we have found that sensory afferent neurons are a critical component in prediabetes initiation, promoting islet inflammation through altered glucose homeostasis and progressive beta cell stress. These factors orchestrate a catastrophic cascade culminating in insulin insufficiency mediated by an autoimmune-prone host. This neuro-immuno-endocrinological triad explains diabetic inflammation as a consequence of local neuropeptide deficiency, leading to an innovative concept of disease pathogenesis with novel therapeutic implications.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.720
Threshold uncertainty score0.506

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.066
GPT teacher head0.335
Teacher spread0.269 · 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 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

Citations28
Published2008
Admission routes1
Has abstractyes

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