Expression of Calbindin-D<sub>28k</sub>in a Pancreatic Isletβ -Cell Line Protects against Cytokine-Induced Apoptosis and Necrosis
Bibliographic record
Abstract
Cytokines produced by immune system cells that infiltrate pancreatic islets are candidate mediators of islet beta-cell destruction in autoimmune (type 1) diabetes mellitus. Because the calcium binding protein, calbindin-D(28k), can prevent apoptotic cell death in different cell types, we investigated the possibility that calbindin-D(28k) may prevent cytokine-mediated islet beta-cell destruction. Using the expression vector BSRalpha, rat calbindin-D(28k) was stably expressed in the pancreatic islet beta-cell line, betaTC-3. Calbindin-D(28k) expression resulted in increased cell survival in the presence of the cytotoxic combination of the cytokines IL-1beta (30 U/ml), TNFalpha (10(3) U/ml), and interferon gamma (10(3) U/ml). The greatest protection was observed in the betaTC-3 cell clone expressing the highest concentration of calbindin-D(28k). Apoptotic cell death was detected by annexin V staining and by the TdT-mediated dUTP-X nick end labeling assay in vector-transfected betaTC-3 cells incubated with cytokines (14-15% apoptotic cells). The number of apoptotic cells was significantly decreased in calbindin-D(28k)-overexpressing betaTC-3 cells incubated with cytokines (5-6% apoptotic cells). To address the mechanism of the antiapoptotic effects of calbindin, studies were done to examine whether calbindin inhibits free radical formation. The stimulatory effects of the cytokines on lipid hydroperoxide, nitric oxide, and peroxynitrite production were significantly decreased in the calbindin-D(28k)-expressing betaTC-3 cells. Our findings indicate that calbindin-D(28k), by inhibiting free radical formation, can protect against cytokine-mediated apoptosis and destruction of beta-cells. These findings suggest that calbindin-D(28k) may be an important regulator of cell death that can protect pancreatic islet beta-cells from autoimmune destruction in type 1 diabetes.
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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) | 0.001 | 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".