The Role of Chemokines in Term and Premature Rupture of the Fetal Membranes: A Review1
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it