Proinflammatory changes in the maternal circulation, maternal–fetal interface, and placental transcriptome in preterm birth
Bibliographic record
Abstract
Background Preterm birth remains a leading obstetrical complication because of the incomplete understanding of its multifaceted etiology. It is known that immune alterations toward a proinflammatory profile are observed in women with preterm birth, but therapeutic interventions are still lacking because of scarcity of evidence in the integration of maternal and placental interrelated compartments. Objective This study aimed to obtain an integrated view of the maternal and placental contribution to preterm birth compared with normal term pregnancies for an in-depth understanding of the immune/inflammatory involvement, intending to identify novel strategies to mitigate the negative impact of inflammation. Study Design We prospectively recruited 79 women with preterm or term deliveries and collected placentas for RNA sequencing, histologic analyses, and to assess levels of inflammatory mediators. Blood samples were also collected to determine the circulating immune profiles by flow cytometry and to evaluate the circulating levels of inflammatory mediators. Results Placental transcriptomic analyses revealed 102 differentially expressed genes upregulated in preterm birth, including known and novel targets, which were highly enriched for inflammatory biological processes according to gene ontology analyses. Analysis of maternal immune cells revealed distinct profiles in preterm births vs term births, including an increased percentage of CD3 − cells and monocyte subsets and decreased CD3 + cells along with Th17 subsets of CD4 + lymphocytes. Supporting our bioinformatic findings, we found increases in proinflammatory mediators in the plasma, placenta, and fetal membranes (primarily the amnion) of women with preterm birth, such as interleukin-6 and tumor necrosis factor-α. These findings were not distinct between spontaneous and iatrogenic preterm births except at a molecular level where spontaneous preterm birth presented with an elevated inflammatory profile compared with iatrogenic preterm birth. Analysis of placental histology revealed increased structural and inflammatory lesions in preterm vs term births. We found that genes upregulated in placentas with inflammatory lesions have enrichment of proinflammatory pathways. Conclusion This work sheds light on changes within the immune system in preterm birth on multiple levels and compartments to help identify pregnancies at high risk of preterm birth and to discover novel therapeutic targets for preterm birth.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".