Unveiling the Interplay: Neurovascular Coupling, Astrocytes and G Protein-Coupled Receptors in Alzheimer’s Disease
Bibliographic record
Abstract
Astrocytes are a type of glial cell that are involved in actively modulating synaptic plasticity, neurotransmitter homeostasis, and neuroinflammatory responses. More importantly, they coordinate neuronal activity and cerebral blood flow (CBF) in what is known as neurovascular coupling (NVC). NVC is an essential mechanism that maintains the high energy demand the brain requires by supplying continuous and rapid supply of oxygen and nutrients through CBF. Impairment in NVC is one of the key events that triggers a spiral of occurrences that lead to the clinical advancement of Alzheimer's disease (AD). It is yet to be determined what the molecular manifestations of NVC impairment relate to; nonetheless, it is believed that alterations in G protein-coupled receptors (GPCRs) are responsible for exacerbating these effects. In this review, we summarize the current evidence supporting the involvement of GPCRs on astrocytes in NVC and the pathophysiology of AD. Additionally, we propose potential research directions to further elucidate the underlying mechanisms and evaluate the feasibility of targeting specific GPCRs as a therapeutic strategy to correct brain blood flow and memory impairments associated with AD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".