Proportional changes of CD4+CD25+Foxp3+ Regulatory T cells in maternal peripheral blood during pregnancy and labor at term and preterm
Bibliographic record
Abstract
PURPOSE: To evaluate the proportional changes of CD4+CD25+Foxp3+ regulatory T cells (Tregs) in maternal peripheral blood during pregnancy and labor at term and preterm. METHODS: Peripheral blood was collected from 20 non-pregnant controls and 139 pregnant women (60 at different gestational ages, 48 at term with or without labor, and 31 in threatened or actual preterm labor). CD4+CD25+Foxp3+ Tregs in peripheral blood samples were analyzed in peripheral blood samples by flow cytometry. Placentas from preterm women were examined for the presence of histological chorioamnionitis (HC). RESULTS: The percentage of circulating CD4+CD25+Foxp3+ Tregs was significantly increased in women during the first trimester compared with non-pregnant controls (P < 0.0001), peaking during the second trimester and then declining slightly in the third trimester. There was a significantly lower level of CD4+CD25+Foxp3+ Tregs in women with term labor than in those at term without labor (P < 0.0001). Women admitted in preterm labor had a lower proportion of CD4+CD25+Foxp3+ cells than those admitted with threatening preterm labor (P < 0.0001). Preterm women with evidence of HC had decreased proportion of CD4+CD25+Foxp3+ cells than those without HC in preterm deliveries (P=0.008). Moreover, the percentages of CD4+CD25+Foxp3+ cells in preterm subjects, irrespective of the HC status, were significantly diminished compared with women with normal pregnancy at the same gestational age (P < 0.0001). CONCLUSION: Our data reveal a marked elevation of peripheral blood CD4+CD25+Foxp3+ Tregs during early pregnancy, but a dramatic decline during labor, either at term or preterm, suggesting their involvement in the maintenance of pregnancy and the initiation of 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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".