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Record W2783808220 · doi:10.1096/fj.201701352

Tau ablation in mice leads to pancreatic β cell dysfunction and glucose intolerance

2018· article· en· W2783808220 on OpenAlexafffund
Nadeeja Wijesekara, Rafaella A. Gonçalves, Rosemary Ahrens, Fernanda G. De Felice, Paul E. Fraser

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsQueen's UniversityOccupational Cancer Research CentreUniversity of Toronto
FundersCanadian Institutes of Health ResearchDiabetes Canada
KeywordsAblationInternal medicineMedicineEndocrinologyCardiologyChemistry

Abstract

fetched live from OpenAlex

The microtubule-associated protein tau is highly expressed in pancreatic islets. Abnormally phosphorylated tau aggregates assemble into neurofibrillary tangles linked to Alzheimer's disease pathology and has also been found in islets of patients with type 2 diabetes. However, the significance of tau in islet function remains relatively unexplored. Therefore, we investigated the role of tau on β cell function and glucose homeostasis using tau knockout (tauKO) mice. TauKO mice were hyperglycemic and glucose intolerant at an early age. Islet insulin content was reduced and proinsulin levels were significantly elevated in tauKO mice, resulting in impaired glucose-stimulated insulin secretion. Loss of tau also resulted in increased epididymal fat mass and leptin levels, reduced glucose production, and insulin resistance at later ages, leading to complete onset of diabetes. Transgenic expression of human tau in islets was unable to rescue those defects in glucose regulation, indicating structural and/or functional differences between mouse and human tau. Cumulatively, these results suggest an important role for tau in the proper maintenance of pancreatic β cell function and glucose homeostasis.-Wijesekara, N., Gonçalves, R. A., Ahrens, R., De Felice, F. G., Fraser, P. E. Tau ablation in mice leads to pancreatic β cell dysfunction and glucose intolerance.

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 score0.275
Threshold uncertainty score0.241

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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

Citations53
Published2018
Admission routes2
Has abstractyes

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