Altered glucose homeostasis in mice lacking the receptor protein tyrosine phosphatase sigmaThis paper is one of a selection of papers published in this Special issue, entitled Second Messengers and Phosphoproteins—12th International Conference.
Bibliographic record
Abstract
Several protein tyrosine phosphatases (PTPs) expressed in insulin sensitive-tissues are proposed to attenuate insulin action and could act as key regulators of the insulin receptor (IR) signaling pathway. Among these PTPs, RPTPsigma is expressed in relatively high levels in insulin-target tissues. We show that RPTPsigma-/- knockout mice have reduced plasma glucose and insulin concentrations in the fasted state compared with their wild-type siblings. The knockout animals were also more sensitive to exogenous insulin as assayed by insulin-tolerance tests. Despite increased whole-body insulin sensitivity, tyrosine phosphorylation of the IR was not increased in muscle of RPTPsigma-/- animals, as would be expected in insulin-sensitive animals. Instead, the levels of IR tyrosine phosphorylation and PI3-kinase activity were reduced in the muscle of knockout animals stimulated with insulin in vivo. However, insulin-stimulated Akt serine phosphorylation was essentially identical between both groups of mice. Accordingly, muscles isolated from RPTPsigma-/- mice did not have a significant increase in glucose uptake in response to insulin, suggesting that RPTPsigma did not play a direct role in this process. Taken together, our results suggest an indirect modulation of the IR signaling pathways by RPTPsigma. Since low dose injection of growth hormone (GH) normalized the response to exogenous insulin in RPTPsigma-/- mice, we propose that the insulin hypersensitivity observed in RPTPsigma-/- mice is secondary to their neuroendocrine dysplasia and GH/IGF-1 deficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.153 | 0.000 |
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.
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 teacher head, 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".