PMN degranulation in relation to CD63 expression and genetic polymorphisms in healthy individuals and COPD patients
Bibliographic record
Abstract
Polymorphonuclear neutrophils (PMNs) play an important role in chronic obstructive pulmonary disease (COPD) pathogenesis. The tetraspanin CD63 is a membrane marker of azurophilic granules and is actively involved in the process of PMN endocytosis and azurophilic granule exocytosis. In this study, we investigated genetic polymorphisms of the CD63 gene, quantified CD63 expression and PMN myeloperoxidase (MPO) release in healthy individuals and COPD patients. We evaluated the potential correlations between genetic polymorphisms and gene expression and MPO release. COPD patients had significantly lower CD63 expression and released less MPO upon chemokine stimulation compared with the healthy individuals. Eleven putative polymorphisms in the CD63 gene were investigated but only three were polymorphic in our study subjects. None of the polymorphisms was associated with CD63 expression in either the healthy subjects or the COPD patients. However, the 8041C/G polymorphism, which is located 3' to the CD63 gene, was associated with MPO release in the healthy subjects. The CC genotype was associated with greater MPO release than the GG genotype (P=0.007). These results suggest that COPD patients have different patterns of CD63 expression and PMN mediator release than healthy individuals. It is likely that genetic variants have limited effect on CD63 expression and MPO release in the context of COPD but their role in other diseases has yet to be determined.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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".