In utero and lactational exposure to Aroclor 1254 affects bone geometry, mineral density and biomechanical properties of rat offspring
Bibliographic record
Abstract
Abstract Exposure to polychlorinated biphenyls (PCBs) induce a broad spectrum of toxic effects in various organs including bone. The most susceptible age-groups to the toxic effects of PCBs are foetuses and infants. The aim of the present study was to quantitatively evaluate changes in bone geometry, mineral density and biomechanical properties following perinatal exposure to the PCB mixture, Aroclor 1254 (A1254), and to examine the persistence of observed bone alterations by following the offspring over time. Sprague–Dawley rat offspring were exposed to A1254 from gestational day 1 to post-natal day (PND) 23. Femur and tibia were collected on PNDs 35, 77 and 350 and were analyzed by peripheral quantitative computed tomography and biomechanical testing. At PND35, exposure to A1254 induced short, thin femur and tibia, with reduced mechanical strength of femoral neck. No treatment-related bone changes were detected in offspring at PND77 or PND350. In conclusion, the present investigation suggests that perinatal exposure to A1254 leads to shorter, thinner and weaker bones in juvenile rats at PND35, with these effects being absent at later time-points as exposure is discontinued. The results indicate that the observed bone effects are mainly driven by the dioxin-like congeners, although it cannot exclude the contribution of the non dioxin-like congeners to the exposure outcome.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".