Systemic Response to Ambient Particulate Matter: Relevance to Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) is a risk factor for development of cardiovascular events, independent of smoking. The mechanisms are unclear, but systemic inflammation associated with COPD may contribute to this cardiovascular risk. Similar to cigarette smoking, exposure to particulate air pollution is associated with an increase in the mortality and morbidity from respiratory and cardiovascular diseases. The exposure of humans to high levels of ambient particles stimulates the bone marrow and the release of neutrophils, band cells, and monocytes into the circulation. This bone marrow simulation is associated with increased levels of circulating interleukin-1beta and interleukin-6, similar to cigarette smoking. In animals, exposure to particulate matter accelerates the transit of neutrophils and monocytes in bone marrow and expands the leukocyte pool size. This systemic inflammatory response to particle inhalation causes endothelial activation and upregulation adhesion molecules that are critically important in leukocyte recruitment into atherosclerotic plaques. Exposure to particles also causes disease progression and destabilization of atherosclerotic plaques in rabbits that develop atherosclerosis naturally. We suspect, therefore, that the systemic inflammatory responses described activate vascular endothelium and cause progression and instability of atherosclerotic plaques. We speculate that this mechanism may contribute to the cardiovascular morbidity and mortality associated with COPD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".