Uncoupling protein 2 regulates reactive oxygen species formation in islets and influences susceptibility to diabetogenic action of streptozotocin
Bibliographic record
Abstract
Currently, the physiological function of uncoupling protein-2 (UCP2) in pancreatic islets and its role in the development of diabetes is a matter of great debate. To further investigate the impact of UCP2 on diabetes development, we used streptozotocin (STZ) to experimentally generate diabetes in both wild-type (WT) and UCP2-knockout (UCP2KO) mice. While multiple low-dose STZ injections led to hyperglycemia development over a 14-day period in both WT and UCP2KO mice, we found the development of hyperglycemia to be significantly less severe in the UCP2KO mice. Measurement of insulin and glucagon secretion (in vitro), as well as their plasma concentrations (in vivo), indicated that UCP2-deficiency showed enhanced insulin secretion but impaired alpha-cell function. Glucagon secretion was attenuated, despite reduced insulin secretion after exposure to STZ, which together contributed to less severe hyperglycemia development in UCP2KO mice. Further experimentation revealed that UCP2-deficient alpha- and beta-cells had chronically higher cellular reactive oxygen species (ROS) levels than the WT prior to STZ application, which correlated with increased basal beta- and alpha-cell mass. Overall, we suggest that increased chronic ROS signaling as a result of UCP2-deficiency contributes to enhanced beta-cell function and impairment of alpha-cell function, leading to an attenuation of STZ-induced hyperglycemia development.
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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) | 0.000 | 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) | 0.001 | 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 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".