Blocking of Stromal Cell-Derived Factor-1 Reduces Neoangiogenesis in Human Endometriosis Lesions in a Mouse Model
Bibliographic record
Abstract
PROBLEM: Endometriosis affects 5-10% of women and is characterized by the growth of endometrial tissue outside of the uterus. Establishing new blood supply is a fundamental requirement for endometriosis lesion growth. Endothelial progenitor cells (EPCs), recruited by stromal cell-derived factor-1 (SDF-1), contribute to neoangiogenesis in endometriotic lesions. We hypothesized that SDF-1 is central to the neoangiogenesis and survival of endometriotic lesions, and blocking of SDF-1 will reduce vascularization of lesions in a mouse model. METHOD OF STUDY: Using immunohistochemistry, we evaluated SDF-1 and CD34(+) EPCs in human endometriotic lesions and normal endometrium samples. EPCs were co-localized using CD34 and VEGFR2. Effects of SDF-1 blocking on endometriotic lesion survival were assessed in BALB/c-Rag2(-/-) /IL2rγ(-/-) mice engrafted with human endometrium and treated with SDF-1-blocking antibody or an isotype control. Weekly blood samples from experimental mice were analyzed for cytokines and EPCs. RESULTS: SDF-1 and CD34(+) EPCs were abundant in human endometriotic lesions compared with eutopic endometrium. In our mouse model, SDF-1-blocking antibody reduced CD31(+) microvessels compared with isotype control. CONCLUSION: Blocking SDF-1 reduces neovascularization and survival of lesions in a mouse model of endometriosis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".