Increased Pancreatic Beta-Cell Apoptosis following Fetal and Neonatal Exposure to Nicotine Is Mediated via the Mitochondria
Bibliographic record
Abstract
In Canada, nicotine replacement therapy is recommended as a safe smoking cessation aid for pregnant women. However, we have shown in an animal model that fetal and neonatal nicotine exposure causes increased beta-cell apoptosis and loss of beta-cell mass, which leads to the development of postnatal dysglycemia and obesity. The goal of this study was to determine whether the observed beta-cell apoptosis is mediated via the mitochondrial and/or death receptor pathway. Female Wistar rats were given saline (control) or nicotine bitartrate (1 mg/kg/day) via sc injection for 2 weeks prior to mating until weaning (postnatal day 21). At weaning, pancreas tissue was collected for Western blotting, electron microscopy (EM), and immunohistochemistry. Key markers of each apoptotic pathway were examined in whole pancreas homogenates and mitochondrial/cytosolic pancreas fractions. In the death receptor pathway, Fas and soluble Fas ligand (FasL) protein were significantly increased in the nicotine-exposed offspring compared to control animals; there was no difference in the ratio of inactive/active caspase-8 or membrane-bound FasL expression. In the mitochondrial pathway, there was a significant increase in the ratio of Bcl2/Bax, Bax translocation to the mitochondria, cytochrome c release to the cytosol, and the ratio of active/inactive caspase-3 in nicotine-exposed offspring relative to control animals. Furthermore, increased mitochondrial swelling was observed by EM in the pancreatic beta cells of nicotine-exposed offspring. Taken together, these data suggest that beta-cell apoptosis following developmental nicotine exposure is mediated via the mitochondria.
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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 | 0.001 |
| 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".