Novel properties of statins: suppression of the systemic and bone marrow responses induced by exposure to ambient particulate matter (PM<sub>10</sub>) air pollution
Bibliographic record
Abstract
Exposure to ambient particulate matter (PM(10) elicits systemic inflammatory responses that include the stimulation of bone marrow and progression of atherosclerosis. The present study was designed to assess the effect of repeated exposure of PM(10) on the turnover and release of polymorphonuclear leukocytes (PMNs) from the bone marrow into the circulation and the effect of lovastatin on the PM(10)-induced bone marrow stimulation. Rabbits exposed to PM(10)three times a week for 3 wk, were given a bolus of 5'-bromo-2'-deoxyuridine to label dividing cells in the marrow to calculate the transit time of PMNs in the mitotic or postmitotic pool. PM(10) exposure accelerated the turnover of PMNs by shortening their transit time through the marrow (64.8 ± 1.9 h vs. 34.3 ± 7.4 h, P < 0.001, control vs. PM(10)). This was predominantly due to a rapid transit of PMNs through the postmitotic pool (47.9 ± 0.7 h vs. 21.3 ± 4.3 h, P < 0.001, control vs. PM(10)) but not through the mitotic pool. Lovastatin delayed the transit time of postmitotic PMNs (38.2 ± 0.5 h, P < 0.001 vs. PM(10)) and shifted the postmitotic PMN release peak from 30 h to 48 h. PM(10) exposure induced the prolonged retention of newly released PMNs in the lung, which was reduced by lovastatin (P < 0.01). PM(10) exposure increased plasma interleukin-6 levels with significant reduction by lovastatin (P < 0.01). We conclude that lovastatin downregulates the PM(10)-induced overactive bone marrow by attenuating PM(10)-induced systemic inflammatory responses.
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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 | 0.000 |
| 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".