Activation of human neutrophils by chiordane: induction of superoxide production and phagocytosis but not chemotaxis or apoptosis
Bibliographic record
Abstract
We have recently reported that human neutrophils are important targets of different xenobiotics, including chemicals of environmental concern. In the present study, we found that chlordane was not toxic for human neutrophils incubated for up to 24 h with concentrations ranging from 0.1 to 50 microg/ml. Chlordane was found to induce neutrophil superoxide production (O2-) in a concentration-dependent fashion and its potency to induce this response was found to be similar to phorbol 12-myristate 13-acetate (PMA), a classical neutrophil agonist. The use of different transduction signal inhibitors (genistein, pertussis toxin, staurosporine, and calphostin C) indicates that, as for PMA, chlordane induces O2- production via protein kinase C (PKC). In this respect, staurosporine and calphostin C were found to inhibit chlordane- and PMA-induced O2- production by 65% and 72%, and by 83% and 85%, respectively. Chlordane was also found to significantly enhance neutrophil phagocytosis of opsonized sheep red blood cells (SRBCs). Despite these effects, chlordane did not alter neutrophil apoptosis as assessed by cytology (Diff-Quick staining) and by flow cytometry (CD-16 expression). In addition, chlordane did not alter neutrophil chemotaxis (48-well Boyden chamber). Cells were, however, responsive as they were activated by the well-characterized interleukin (IL)-8 chemokine. We conclude that chlordane can activate O2- production by a PKC-dependent mechanism and induce phagocytosis without altering chemotaxis and apoptosis. Chlordane must be added to a growing list of environmental contaminants that share some pro-inflammatory properties.
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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".