Flow cytometric analysis of defensins in blood and marrow neutrophils
Bibliographic record
Abstract
Polymorphonuclear neutrophils (PMN) are vital in host defense against microbial infections. This study provides a flow cytometric method for the quantitative analysis of microbicidal peptides (defensins) in cells of PMN lineage. Rabbit neutrophil peptides, NP-2 and NP-5, were measured in all PMN and in subpopulations of PMN expressing 1-selectin. PMN lineage counts were made on Wright's-stained blood smears and marrow cytospins. Immunoreactivity for NP-2, and NP-5 was detected by using the alkaline phosphatase anti-alkaline phosphatase technique. The results show that marrow PMN express higher levels of NP-2 and NP-5 than blood PMN, p < 0.001 and that these levels are associated with elevated numbers of myeloid precursors. In both blood and marrow, NP-2 occurs in two PMN subpopulations and the mean fluorescence intensity of NP-2 is consistently higher than that of NP-5. Increased levels of defensins are observed in circulating PMN depicting the most 1-selectin p < 0.05. Immunocytochemical results indicate that PMN defensins reside in cytoplasmic granules and are not constitutively expressed on the cell surface. Furthermore, defensins are not detected in monocytes, eosinophils, lymphocytes and erythrocytes. The flow cytometric method described here provides a novel means of quantitating host natural defenses, allows the characterization of PMN subpopulations and has clinical applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".