Chronic inflammation induced by organic dust and related metabolic cardiovascular disease risk factors
Bibliographic record
Abstract
OBJECTIVE: Chronic inflammation is now considered a risk factor for cardiovascular diseases. Exposure to organic dust induces an inflammatory response. This study was done to verify whether inflammation caused by exposure to organic dust increases the metabolic risk factors for cardiovascular diseases. METHODS: Thirty-six nonsmoking men who worked in a swine confinement building and 35 unexposed matched controls were studied. Each person was evaluated for inflammatory markers, including white blood cell counts, cell-bound (CD11b, CD18, CD31, CD62L) and circulating soluble adhesion molecule levels (sICAM-1, sPECAM-1, sL, sE, and sP selectins), serum CRP (C-reactive protein), fibrinogen, and interleukin-6 (IL-6). Cardiovascular risk factors [the serum lipid profile, apoprotein B (Apo B)] and insulin levels were also assessed. RESULTS: The groups were similar with respect to age, physical characteristics, and blood cell counts. The expression of adhesion molecules (P-values <0.01) and serum levels of sL-selectin (P<0.0001) were higher for the workers than for the controls, while neutrophils and interleukin-6 were slightly higher for the workers (P=0.05). No differences in CRP, fibrinogen, lipid profile, Apo B, or insulin levels were observed. CONCLUSIONS: Exposure to contaminated organic dust induces a chronic inflammation that is not associated with increased metabolic or acute-phase cardiovascular risk factors; this finding suggests that chronic inflammation per se may not be a cardiovascular risk factor in this group of pig farmers.
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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 | 0.000 | 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) | 0.000 | 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".