Interaction between arsenic trioxide (ATO) and human neutrophils
Bibliographic record
Abstract
The cytotoxic effect of arsenic trioxide (ATO) is known to be mediated by its ability to induce cell apoptosis in a variety of cells, including neutrophils. More recently, we demonstrated that ATO induced several parameters involved in endoplasmic reticulum (ER) stress-induced neutrophil apoptosis but that caspase-4 was not involved. The aim of this study was to better understand how neutrophils are activated by ATO and to further demonstrate that ATO is an ER stressor. Human neutrophils were isolated from healthy blood donors and incubated in vitro in the presence or absence of ATO and several parameters were investigated. We found that ATO induced the expression of the proapoptotic GADD153 protein, a key player involved in ER stress-induced apoptosis, activated nuclear nuclear factor κB (NF-κB) DNA binding activities, and increased prostaglandine E2 (PGE2) production. Using an antibody array approach, we found that ATO increased the production of several cytokines, with interleukin 8 (IL-8) being the predominant one. We confirmed that ATO increased the production of IL-8 by enzyme-linked-immunosorbent assay (ELISA). Treatment with a caspase-4 inhibitor did not inhibit IL-8 production. The results of the present study further support the notion that ATO is an ER stressor and that, although its toxic effect is mediated by induction of apoptosis, this chemical also induced, in parallel, NF-κB activation, the production of PGE2 and several cytokines probably involved in other cell functions. Also, we conclude that the production of IL-8 is not induced by a caspase-4-dependent mechanism, suggesting that ATO-induced caspase-4 activation is involved in other as yet unidentified functions in human neutrophils.
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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".