Cyanidin-3-O-Glucoside Enhanced the Function of Syngeneic Mouse Islets Transplanted Under the Kidney Capsule or Into the Portal Vein
Bibliographic record
Abstract
BACKGROUND: It was previously shown that islets are susceptible to oxidative stress due to their inherent low antioxidant capacity. Therefore, in this study, we determined whether treatment of mouse islets with an antioxidant cyanidin-3-O-glucoside (C3G) could enhance their function after transplantation under the kidney capsule or into the portal vein. METHODS: B6 mouse islets were treated with various concentrations of C3G, their viability, and the expression of antioxidant (HO-1) and antiapoptotic (Bcl-2 and Survivin) genes were determined. The C3G-treated (1.0 μM) or untreated B6 mouse islets (100, 200, and 400 IEQ) were transplanted under the kidney capsule or into the portal vein of diabetic B6 mice, and their blood glucose levels were monitored for more than 100 days after transplantation. RESULTS: The C3G-treated islets showed higher cell viability compared to untreated control and the expression of HO-1; Bcl-2 and Survivin genes were enhanced in a concentration-dependent manner. All mice that were transplanted with C3G-treated islets achieved normoglycemia faster than recipients of untreated islets. Mice that received 400, 200, or 100 treated islets transplanted under the kidney capsule achieved normoglycemia, whereas only mice that were transplanted with 400 and 200 treated islets into the portal vein achieved normoglycemia. The mean blood glucose levels of mice that received C3G-treated islets were lower compared to those observed in mouse recipients of untreated islets transplanted under the kidney capsule or into the portal vein. CONCLUSIONS: Our results show that C3G could enhance the viability of mouse islets and improve their function after transplantation.
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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) | 0.000 | 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".