A role for lipoxin A <sub>4</sub> as anti‐inflammatory and proresolution mediator in human parturition
Bibliographic record
Abstract
The purpose of this study was to investigate the role of lipoxin A(4), an anti-inflammatory and proresolution modulator, during human parturition. We measured serum levels of lipoxin A(4) and myometrial protein release using ELISA, quantified lipoxin receptor (FPR2/ALX) mRNA expression using qRT-PCR, and localized protein expression using immunohistochemstry in myometrial biopsies from pregnant women. In addition, we compared the effects of lipoxin A(4) (100 nM) with vehicle on basal and LPS-stimulated expression of proinflammatory cytokines from samples of myometrium from pregnant women. Mean ± SE circulating level of lipoxin A(4) was 5.89 ± 0.63 nM at 24-wk gestation, with a further modest increase during pregnancy (P<0.05), but no differences in gestation matched women before and after labor (P>0.05). Levels of lipoxin A(4) in nonpregnant women were 0.48 ± 0.04 nM, significantly lower than in pregnant women (P<0.001). FPR2/ALX localized to myocytes and neutrophils, with a 9-fold increase in mRNA expression in labor (P<0.001). Lipoxin A(4) significantly reduced LPS-induced but not basal expression of the proinflammatory cytokines IL-6 and IL-8 in cultured myometrium (P<0.05), compared to vehicle-treated controls. We demonstrate for the first time a potential role for lipoxin A(4) and its receptor in the resolution of the inflammatory events of both physiological and pathological labor.
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 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 | 0.000 |
| 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) | 0.002 | 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".