Bidirectional control of arteriole diameter by astrocytes
Bibliographic record
Abstract
Astrocytes are the most numerous cells in the CNS. It is a defining feature of brain anatomy that every astrocyte has at least one contact with the vasculature, termed an endfoot. Collectively, all endfeet completely circumscribe all vessels in the brain. This unique anatomical feature has profound functional significance, as astrocyte endfeet have been discovered to release diffusible messengers that communicate directly with underlying smooth muscle cells to change arterial diameter and thereby regulate cerebral blood flow. A growing body of data now demonstrates that astrocytes serve as a bridge, relaying information on the level of neural activity to blood vessels in order to co-ordinate oxygen and glucose delivery with the energy demands of the tissue. In particular, astrocytes respond to elevations in extracellular glutamate as a consequence of synaptic transmission through the activation of group 1 metabotropic glutamate receptors. These Gq-coupled receptors elevate intracellular calcium via IP(3) signalling, which activates phospholipase A2 and generates arachidonic acid. Arachidonic acid acts as a signalling molecule or is converted to several lipid derivates, including prostaglandin E(2) and epoxyeicosatrienoic acids. Each of these lipids acts on vascular smooth muscle cells via different mechanisms to affect vessel diameter. Arachidonic acid initiates the production of 20-hydroxyeicosatetraenoic acid to cause vasoconstriction, whereas prostaglandin E(2) and epoxyeicosatrienoic acids cause vasodilatation. Factors that determine whether constrictor or dilatory pathways predominate involve nitric oxide and brain metabolic elements, such as oxygen, lactate and adenosine. Thus, astrocytes are thought to be capable of bidirectional control of arterial diameter, and the type of influence depends on the state of brain activity.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".