Deletion of protein tyrosine phosphatase 1B (PTP1B) prevents type 1 diabetes‐induced endothelial dysfunction.
Bibliographic record
Abstract
PTP1B dephosphorylates receptors tyrosine kinase and acts as a brake on various signaling pathways. Deletion of PTP1B protects against metabolic dysfunction by increasing insulin sensitivity, but little is known about its role in the control of vascular function. We hypothesized that PTP1B deletion prevents vascular dysfunction in the absence of insulin. Insulin secretion was abolished in Balb/C and PTP1B‐deficient mice with streptozotocin (STZ) injection. 24 days after treatment, aortic reactivity was assessed via myography. STZ induced similar increases in glycemia in Balb/C and PTP1B KO mice (384±24 vs 444±21 mg/dL, Balb/C vs PTP1B). Phenylephrine (PE)‐induced constriction was increased by STZ treatment in Balb/C mice only (115±13 vs 136±6% of KCl, vehicle vs STZ). Endothelial function assessed via acetylcholine (ACh)‐mediated relaxation was not affected by PTP1B deficiency but was reduced by STZ in Balb/C mice (63±5 vs 43±5% of precontraction, vehicle vs STZ). In PTP1B KO mice, STZ treatment did not affect maximum relaxation (56±7 vs 58±7% of preconstriction, vehicle vs STZ) but increased ACh sensitivity (log EC50 7.4±0.3 vs 8.2±0.2, vehicle vs STZ). Western blot analysis revealed a trend towards increased baseline Akt activation without changes in eNOS expression or activation. These data indicate that PTP1B deletion protects against the harmful vascular effects of type I diabetes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".