Activation of human neutrophils in vitro and dieldrin-induced neutrophilic inflammation in vivo
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many chemicals of environmental concern are known to alter the immune system and are considered toxic molecules because they affect immune cell functions. Inflammation related to environmental chemical exposure, however, is poorly documented, except that from air pollutants. In this study, we found that the organochlorine insecticide dieldrin could not alter the ability of human neutrophils to phagocytose opsonized sheep red blood cells at nonnecrotic concentrations (0.1, 1, 10, and 50 microM). However, dieldrin was found to increase human neutrophil superoxide production, RNA synthesis, and proinflammatory cytokine interleukin-8 production. The normal apoptotic rate of neutrophils evaluated by both cytology and flow cytometry (CD-16 staining) was not altered by dieldrin treatments, and this was correlated with its inability to inhibit spreading of neutrophils onto glass. Using the murine air pouch model, we found that dieldrin induces a neutrophilic inflammation. Taken together, these results demonstrated that dieldrin is a proinflammatory contaminant. To our knowledge, this is the first report establishing that dieldrin is a contaminant exhibiting proinflammatory properties. In addition, it is the first time that the murine air pouch model has been successfully used to confirm that a chemical of environmental concern can induce an inflammatory response in vivo.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it