Cigarette Smoke Exposure Leads to Follicle Loss via an Alternative Ovarian Cell Death Pathway in a Mouse Model
Bibliographic record
Abstract
Cigarette smoking among reproductive-aged women is increasing worldwide. Cigarette smoking is a lifestyle behavior associated with important adverse health effects including subfertility and premature ovarian failure. We previously demonstrated that cigarette smoke (CS) exposure in mice decreases the primordial follicle pool; however, the mechanism of action is largely unknown. Therefore, the present study was designed to elucidate the mechanisms underlying CS exposure-induced ovarian follicle loss. CS exposure induced a significant decrease in the relative ovarian weight and the number of primordial and growing follicles. Oxidative stress, as shown by increased Hsp25 and decreased superoxide dismutase 2 protein expression, was found in mice exposed to CS for 8 weeks. Exposure decreased Bcl-2 but failed to induce apoptosis. An increased number of autophagosomes in granulosa cells of ovarian follicles together with increased expression of Beclin-1 and microtubule-associated protein light chain 3, key regulatory proteins in the autophagy (Atg) pathway, was found in CS-exposed mice compared with the control group. Taken together, our results suggest that CS exposure does not induce apoptosis but rather activates the Atg pathway ultimately leading to ovarian follicle loss. We further postulate that Atg is a novel mechanism of toxicant-induced ovarian follicle loss.
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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 | 0.001 | 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 | 0.001 |
| 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".