Angiogenic DC‐SIGN<sup>+</sup> cells are present at the attachment sites of epitheliochorial placentae
Bibliographic record
Abstract
Spontaneous early and mid-gestation fetal losses occur in swine. At both stages, endometrial lymphocytes associated with smaller, paler conceptuses have fewer pro-angiogenic and more pro-inflammatory cytokine transcripts compared with robust conceptuses. We hypothesized that similar differences occur in conceptus-associated dendritic cells (DCs). Using laser capture-microdissection, dendritic cell-specific intercellular adhesion molecule-grabbing non-integrin (DC-SIGN)(+) cells were isolated from attachment sites of healthy and arresting conceptuses at gestation day (gd)20 and 50. DC-SIGN(+) cells were screened using real-time PCR for vascular endothelial cell growth factor (Vegf), its receptors, semaphorins (Sema) and plexins (Plxn), and for toll-like receptor (Tlr) transcripts to address potential activation pathways. Homogenized endometrial and trophoblast biopsies were quantified for type 1/type 2 cytokine transcripts/proteins. DC-SIGN(+) cells from healthy and arresting conceptuses had more Vegf transcripts at early than mid gestation whereas transcripts for Vegfr1 and Vegfr2 were stable. In gd20 arresting site DC-SIGN(+) cells, Neuropilin-2 transcripts were elevated, whereas at gd50 arresting sites, Plxn-A2 increased and Sema3A transcripts were lost. Tlr-1, Tlr-4 and Tlr-6 transcript abundance was independent of conceptus health. At gd20, type 1 cytokines were prevalent, whereas at gd50 type 2 cytokines predominated in endometrium and trophoblast. Thus, gestational features, characteristic of haemochorial placentation, are present in species with distinctly different placentation.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 teacher head, 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".