The Role of Chemokines in Term and Premature Rupture of the Fetal Membranes: A Review1
Bibliographic record
Abstract
Several studies indicate that at the choriodecidual interface, where maternal and fetal tissues make contact, a network of signals is established during labor that includes infiltration of leukocytes and secretion of pro-inflammatory cytokines. In this review, we provide an overview of the inflammatory milieu present in the choriodecidua during membrane rupture, describe the recruitment and homing of leukocytes to the reproductive tissues, and detail specific actions of the key chemokines released by the choriodecidual cells. These data lend further support to the hypothesis that labor is an inflammatory response, wherein the infiltrated leukocytes in the choriodecidua interface could be contributing to the creation of a microenvironment leading to collagenolysis, which would promote the rupture of these tissues during labor. In addition to the available information describing biological actions of chemokines during various pathological conditions such as infection, preterm labor and preterm rupture of membranes suggest that these compounds play important roles in other gestational events such as cervical dilation and myometrial contractions. Even though we do not know the totality of biochemical signals that integrate the molecular dialogue between leukocytes and the various gestational tissues, it is becoming increasingly evident that this microenvironment is characterized, at least in part, by the differential expression and secretion of chemokines that induce selective trafficking of leukocyte subsets to the fetal membranes. Therefore, chemokines should be considered as important regulatory molecules with the ability to initiate the events that characterize normal and pathological labor.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".