<i>In vitro</i> exposure to cigarette smoke induces oxidative stress in follicular cells of F<sub>1</sub> hybrid mice
Bibliographic record
Abstract
This study assessed the influence of cigarette smoke condensate (CSC) and benzo(a)pyrene [B(a)P] on the levels of two oxidative stress biomarkers [8-isoprostane (8-IsoP) and 8-hydroxy-2-deoxy Guanosine (8-OH-dG)], in in-vitro spent media of follicle cells. Follicles (100-130 µm) isolated from ovaries of F₁ hybrid (C57Bl/6j × CBA/Ca) mice were cultured for 13 days in media exposed to B(a)P [0 ng ml⁻¹ (control) to 45 ng ml⁻¹] or CSC [0 µg ml⁻¹ (control) to 130 µg ml⁻¹]. The concentrations of oxidative stress biomarkers in spent media were quantified by enzyme-linked immune sorbent assays (ELISA). CSC and B(a)P treatment induced a significant, dose-dependent increase in the concentrations of 8-IsoP and 8-OH-dG in the spent media. We conclude that CSC and B(a)P exposure can induce oxidative stress in ovarian follicles, an effect that may contribute to the previously documented decline in follicle development and premature ovarian failure in women who smoke.
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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 | 0.001 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".