In Situ Non‐Invasive Imaging of Neutrophil Myeloperoxidase and Skin Reactive Oxygen Species in Experimental Murine Atopic Dermatitis
Bibliographic record
Abstract
Abstract Neutrophils play a key role in the innate immune inflammatory response, notably through the release of the myeloperoxidase enzyme from azurophilic granules, locally generating reactive oxygen species. Although short‐lived, these reactive oxygen species are directly involved in local tissue damage in response to microbial intrusion. Neutrophil‐derived myeloperoxidase has been reported as an important factor in the elicitation of atopic dermatitis and is considered a potential target and biomarker. This study describes the use of in situ imaging techniques comprising both chemiluminescent resonance energy‐transfer and ratiometric fluorescent microtattoos to locally and non‐invasively image myeloperoxidase activity and skin reactive oxygen species in a murine model of calcipotriol‐induced atopic dermatitis. Using neutrophil depletion to assess granulocyte contribution to the observed imaging signals, the non‐invasive longitudinal data are found to correlate with endpoint biochemical activity assays for both myeloperoxidase and reactive oxygen species by‐products, as well as with immunohistochemical analysis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 0.001 |
| 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".