Tau ablation in mice leads to pancreatic β cell dysfunction and glucose intolerance
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".