Neutrophil apoptosis in preeclampsia, do steroids confound the relationship?
Bibliographic record
Abstract
AIM: To investigate the influence of maternal corticosteroid administration on neutrophil apoptosis in early onset preeclampsia. METHODS: We investigated five groups: early onset preeclampsia (EOPET, <34 weeks, n = 10); late-onset preeclampsia (LOPET, > or =34 weeks, n = 7); normotensive intrauterine growth restriction (nIUGR, n = 11); normal pregnancy (NPC, n = 22); and non-pregnancy (n = 10). We examined, by flow cytometry, spontaneous neutrophil apoptosis after 18 h culture (hypodiploid DNA, Annexin V binding, propidium iodide [PI] permeability). RESULTS: For the 10 women with EOPET exposed to betamethasone in the previous 48 h, we found that neutrophil apoptosis was not inappropriately inhibited, in contrast to our previous findings in women not thus exposed. Neither LOPET nor nIUGR differed from normal pregnancy. CONCLUSION: Betamethasone alters the rate of spontaneous neutrophil apoptosis in EOPET. The anti-inflammatory influence of betamethasone may explain some of the differences between our previous and present findings with respect to neutrophil apoptosis in EOPET. Corticosteroids ameliorate the course of antenatal and postnatal preeclampsia. These results may reflect the mechanisms that underlie the transient improvements seen with antenatal dexamethasone use.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.002 |
| 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".