Impaired Glucose Tolerance in Mice Lacking Cellular Prion Protein
Bibliographic record
Abstract
OBJECTIVES: We previously demonstrated that the expression of cellular prion protein (PrPC) in islet [beta]-cells is suppressed in hyperglycemic rats suggesting a major role for PrPC in blood glucose regulation. To further characterize the function of PrPC in glucose homeostasis, we studied glucoregulation in PrPC knockout (PrPC KO) mice. METHODS: Glucose tolerance, insulin secretion, and insulin sensitivity were analyzed to assess glucoregulation in Zrch I PrPC KO and the C57BL/6 (control) mice. Immunohistochemistry and morphometry were used to measure [beta]-cell mass. RESULTS: Male PrPC KO mice had significantly increased blood glucose concentration 60, 120, and 180 minutes after intraperitoneal injection of glucose compared with C57BL/6 mice. Female PrPC KO mice showed a less pronounced phenotype of glucose intolerance. Evaluation of [beta]-cell mass, insulin and proinsulin deficiency, and insulin resistance in male mice revealed essentially no difference between PrPC KO and control mice. The only exception was an increase in serum insulin concentration in male PrPC KO mice 5 minutes after glucose injection. CONCLUSIONS: This report is the first to show that PrPC in [beta]-cells is involved in glucoregulation. A further understanding of the role of PrPC in regulating [beta]-cell function will provide valuable insight into the mechanisms of blood glucose regulation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".