Changes in vascular extracellular matrix composition during decidual spiral arteriole remodeling in early human pregnancy.
Bibliographic record
Abstract
Uterine spiral arteriole (SA) remodeling in early pregnancy involves a coordinated series of events including decidual immune cell recruitment, vascular cell disruption and loss, and colonization by placental-derived extravillous trophoblast (EVT). During this process, decidual SA are converted from narrow, muscular vessels into dilated channels lacking vasomotor control. We hypothesized that this extensive alteration in SA architecture must require significant reorganization and/or breakdown of the vascular extracellular matrix (ECM). First trimester decidua basalis (30 specimens) was immunostained to identify spiral arterioles undergoing trophoblast-independent and -dependent phases of remodeling. Serial sections were then immunostained for a panel of ECM markers, to examine changes in vascular ECM during the remodeling process. The initial stages of SA remodeling were characterized by loss of laminin, elastin, fibrillin, collagen types III, IV and VI from the basement membrane, vascular media and/or adventitia, and surrounding decidual stromal cells. Loss of ECM correlated with disruption and disorganization of vascular smooth muscle cells, and the majority of changes occurred prior to extensive colonization of the vessel wall by EVT. The final stages of SA remodeling, characterized by the arrival of EVT, were associated with the increased mural deposition of fibronectin and fibrinoid. This study provides the first detailed analysis of the spatial and temporal loss of ECM from the walls of remodeling decidual SA in early pregnancy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".