Towards a better understanding of <scp>AQP</scp>4′s role in astrocytic process extension
Bibliographic record
Abstract
At the blood-brain-barrier (BBB), blood vessels are surrounded by the endfoot structures formed by astroglial cells. The latter are themselves part of a larger syncytial network of astrocytes connected to each other via a complex web of processes. The water-permeable channel aquaporin-4 (AQP4) is expressed at high concentrations at these endfeet, held in place by the dystrophin glycoprotein complex (DGC), a collection of proteins that act as a bridge linking AQP4 to the laminin-containing basal lamina found in between the blood vessels and the astrocytic endfeet. Although AQP4, supported by the DGC, has well-established roles in facilitating certain neurological processes, and in mediating the removal of excess water from the brain in certain disease states, relatively few studies have looked at the importance of these components in the regulation of the extension of the processes that are so characteristic of astrocytes. In this Editorial Highlight, we discuss an article by Sato et al., published in this issue of the Journal of Neurochemistry, which attempts to address this question.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.015 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".