Rosiglitazone decreases cellular iron status in livers from zdf rats (LB774)
Bibliographic record
Abstract
Recent work has linked increased circulating iron and cellular iron status with insulin resistance and type 2 diabetes. An increase in cellular iron is also associated with chronic inflammation. To further explore this association we examined free iron, and proteins important for cellular iron management, in liver tissue from Zucker Diabetic Fatty (ZDF) rats and ZDF rats treated with Rosiglitazone (ZDF ROSI). Rosiglitazone (ROSI) is known to improve insulin sensitivity and has recently been shown to reduce certain inflammatory signals. We hypothesized that ROSI treatment of ZDF rats would cause a reduction in free iron and related changes in proteins involved in cellular iron regulation. Six week old ZDF rats were fed ad libitum a chow diet or a chow diet with 100 mg of ROSI/kg of diet for 6 weeks. The free iron concentration in liver tissue was reduced by 26% ± 4% (p=0.02) in response to ROSI treatment compared to ZDF controls. Ferritin protein levels in ZDF ROSI were significantly reduced by 37% ± 12% (p=.003) compared to ZDF. Iron regulatory protein (IRP) analysis showed a reduction in IRP by 21% ± 7% (p=.03) in ZDF ROSI compared to ZDF Chow. These results are consistent with a potential anti‐inflammatory effect of ROSI treatment on the iron status of liver tissue.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".