Neuropilin-1–Expressing Microglia Are Associated With Nascent Retinal Vasculature Yet Dispensable for Developmental Angiogenesis
Bibliographic record
Abstract
PURPOSE: Neuropilin-1 (NRP-1) is a transmembrane receptor that is critical for vascular development within the central nervous system (CNS). It binds and influences signaling of several key angiogenic factors, such as VEGF-165, semaphorin 3A, platelet derived growth factor, and more. Neuropilin-1 is expressed by neurons and endothelial cells as well as a subpopulation of proangiogenic macrophages/microglia that are thought to interact with endothelial tip cells to promote vascular anastomosis during brain vascularization. We previously demonstrated a significant role for NRP-1 in macrophage chemotaxis and showed that NRP-1-expressing microglia are major contributors to pathologic retinal angiogenesis. Given this influence on CNS angiogenesis, we now investigated the involvement of microglia-resident NRP-1 in developmental retinal vascularization. METHODS: We followed NRP-1 expressing microglia during retinal development. We used LysM-cre myeloid lineage-driver cre mice to reduce expression of NRP-1 in retinal myeloid-derived cells and performed a comprehensive morphometric analysis of retinal vasculature during development. RESULTS: We provide evidence that NRP-1+ microglia are present throughout the retina during vascular development with a preference for the non-vascularized retina. Using LysM-Cre/Nrp1(fl/fl) mice, we reduced NRP-1 expression by ~65% in retinal microglia and demonstrate that deficiency in NRP-1 in these microglia does not impair retinal angiogenesis. CONCLUSIONS: Our data draw a dichotomous role for NRP-1 in cells of myeloid lineage where it is dispensable for adequate retinal developmental vascularization yet obligate for pathologic retinal angiogenesis.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".