Zebrafish glial-vascular interactions progressively expand over the course of brain development
Bibliographic record
Abstract
Abstract Glial-vascular interactions are critical for the formation and maintenance of brain blood vessels and the blood-brain barrier (BBB) in mammals, but their role in zebrafish is not well understood. Our previous work has detailed the timeline of BBB functional maturation in zebrafish, revealing a conserved mechanism of BBB induction through the suppression of endothelial transcytosis. Yet, as opposed to extensive research on glial-vascular interactions in rodents, such interactions remain largely overlooked in the zebrafish model system. Here, we focus on glial-vascular development in the zebrafish brain, leveraging three glial gene promoters: gfap (glial fibrillary acidic protein), glast (an astrocyte-specific glutamate transporter), and glastini (a new, shortened, equally effective version of the Glast promoter). Using these glial promoters, sparse labeling revealed fewer glial-vascular interactions during early larval stages, with both glial coverage and contact area increasing as the zebrafish brain matured. We then generated stable transgenic lines for both the Glast and Glastini promoters and observed similar increases in glial coverage during larval development, starting at ∼30% coverage at 3 days post-fertilization (dpf) and peaking at ∼60% at 10 dpf. Ultrastructural assessment of glial-vascular interactions using electron microscopy (EM) confirmed a progressive increase in glial coverage over larval development, with maximal coverage reaching ∼70% in adult zebrafish, significantly lower than the nearly 100% coverage observed in mammals. Finally, immunogold-EM labeling confirmed that cells identified as glia in aforementioned morphological analyses were indeed Glast-positive. Taken together, our results identify the temporal profile of glial-vascular maturation in the zebrafish brain.
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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 | 0.000 |
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".